Commercial and Industrial Measures - PUC - PUC Home Page



4404360-737968002000154940200020066069000960004404360-73796800200015494020002006606900096000-9906004460875June 2016Errata Update February 2017 00June 2016Errata Update February 2017 5653684222504000-9906001338580TECHNICAL REFERENCE MANUAL00TECHNICAL REFERENCE MANUAL-9906001136650TECHNICAL REFERENCE MANUALVolume 3: Commercial and Industrial Measures00TECHNICAL REFERENCE MANUALVolume 3: Commercial and Industrial Measures-9874254462145August 201900August 20195653684222504000-9906002929255State of PennsylvaniaAct 129 Energy Efficiency and Conservation Program & Act 213 Alternative Energy Portfolio Standards00State of PennsylvaniaAct 129 Energy Efficiency and Conservation Program & Act 213 Alternative Energy Portfolio StandardsThis Page Intentionally Left BlankTable of Contents TOC \o "1-3" \h \z \u HYPERLINK \l "_Toc13040050" 3 Commercial and Industrial Measures PAGEREF _Toc13040050 \h 12 HYPERLINK \l "_Toc13040051" 3.1 Lighting PAGEREF _Toc13040051 \h 12 HYPERLINK \l "_Toc13040052" 3.1.1 Lighting Improvements PAGEREF _Toc13040052 \h 12 HYPERLINK \l "_Toc13040053" 3.1.2 New Construction Lighting PAGEREF _Toc13040053 \h 26 HYPERLINK \l "_Toc13040054" 3.1.3 Lighting Controls PAGEREF _Toc13040054 \h 36 HYPERLINK \l "_Toc13040055" 3.1.4 LED Exit Signs PAGEREF _Toc13040055 \h 39 HYPERLINK \l "_Toc13040056" 3.1.5 LED Channel Signage PAGEREF _Toc13040056 \h 42 HYPERLINK \l "_Toc13040057" 3.1.6 LED Refrigeration Display Case Lighting PAGEREF _Toc13040057 \h 45 HYPERLINK \l "_Toc13040058" 3.1.7 Lighting Improvements for Midstream Delivery Programs PAGEREF _Toc13040058 \h 47 HYPERLINK \l "_Toc13040059" 3.2 HVAC PAGEREF _Toc13040059 \h 55 HYPERLINK \l "_Toc13040060" 3.2.1 HVAC Systems PAGEREF _Toc13040060 \h 55 HYPERLINK \l "_Toc13040061" 3.2.2 Electric Chillers PAGEREF _Toc13040061 \h 64 HYPERLINK \l "_Toc13040062" 3.2.3 Water Source and Geothermal Heat Pumps PAGEREF _Toc13040062 \h 69 HYPERLINK \l "_Toc13040063" 3.2.4 Ductless Mini-Split Heat Pumps – Commercial < 5.4 tons PAGEREF _Toc13040063 \h 78 HYPERLINK \l "_Toc13040064" 3.2.5 Fuel Switching: Small Commercial Electric Heat to Natural gas / Propane / Oil Heat PAGEREF _Toc13040064 \h 82 HYPERLINK \l "_Toc13040065" 3.2.6 Small C&I HVAC Refrigerant Charge Correction PAGEREF _Toc13040065 \h 86 HYPERLINK \l "_Toc13040066" 3.2.7 ENERGY STAR Room Air Conditioner PAGEREF _Toc13040066 \h 91 HYPERLINK \l "_Toc13040067" 3.2.8 Controls: Guest Room Occupancy Sensor PAGEREF _Toc13040067 \h 95 HYPERLINK \l "_Toc13040068" 3.2.9 Controls: Economizer PAGEREF _Toc13040068 \h 98 HYPERLINK \l "_Toc13040069" 3.2.10 Computer Room Air Conditioner PAGEREF _Toc13040069 \h 101 HYPERLINK \l "_Toc13040070" 3.2.11 Computer Room Air Conditioner/Handler Electronically Commutated Plug Fans PAGEREF _Toc13040070 \h 105 HYPERLINK \l "_Toc13040071" 3.2.12 Computer Room Air Conditioner/Handler VSD on AC Fan Motors PAGEREF _Toc13040071 \h 108 HYPERLINK \l "_Toc13040072" 3.2.13 Circulation Fan: High-Volume Low-Speed PAGEREF _Toc13040072 \h 111 HYPERLINK \l "_Toc13040073" 3.3 Motors and VFDs PAGEREF _Toc13040073 \h 115 HYPERLINK \l "_Toc13040074" 3.3.1 Premium Efficiency Motors PAGEREF _Toc13040074 \h 115 HYPERLINK \l "_Toc13040075" 3.3.2 Variable Frequency Drive (VFD) Improvements PAGEREF _Toc13040075 \h 126 HYPERLINK \l "_Toc13040076" 3.3.3 ECM Circulating Fan PAGEREF _Toc13040076 \h 130 HYPERLINK \l "_Toc13040077" 3.3.4 VSD on Kitchen Exhaust Fan PAGEREF _Toc13040077 \h 134 HYPERLINK \l "_Toc13040078" 3.3.5 ECM Circulator Pump PAGEREF _Toc13040078 \h 136 HYPERLINK \l "_Toc13040079" 3.3.6 High Efficiency Pumps PAGEREF _Toc13040079 \h 140 HYPERLINK \l "_Toc13040080" 3.4 Domestic Hot Water PAGEREF _Toc13040080 \h 143 HYPERLINK \l "_Toc13040081" 3.4.1 Heat Pump Water Heaters PAGEREF _Toc13040081 \h 143 HYPERLINK \l "_Toc13040082" 3.4.2 Low Flow Pre-Rinse Sprayers for Retrofit Programs and Time of Sale Programs PAGEREF _Toc13040082 \h 149 HYPERLINK \l "_Toc13040083" 3.4.3 Fuel Switching: Electric Resistance Water Heaters to Gas/Propane PAGEREF _Toc13040083 \h 153 HYPERLINK \l "_Toc13040084" 3.5 Refrigeration PAGEREF _Toc13040084 \h 157 HYPERLINK \l "_Toc13040085" 3.5.1 ENERGY STAR Refrigeration/Freezer Cases PAGEREF _Toc13040085 \h 157 HYPERLINK \l "_Toc13040086" 3.5.2 High-Efficiency Evaporator Fan Motors for Walk-In or Reach-In Refrigerated Cases PAGEREF _Toc13040086 \h 159 HYPERLINK \l "_Toc13040087" 3.5.3 Controls: Evaporator Fan Controllers PAGEREF _Toc13040087 \h 162 HYPERLINK \l "_Toc13040088" 3.5.4 Controls: Floating Head Pressure Controls PAGEREF _Toc13040088 \h 165 HYPERLINK \l "_Toc13040089" 3.5.5 Controls: Anti-Sweat Heater Controls PAGEREF _Toc13040089 \h 169 HYPERLINK \l "_Toc13040090" 3.5.6 Controls: Evaporator Coil Defrost Control PAGEREF _Toc13040090 \h 172 HYPERLINK \l "_Toc13040091" 3.5.7 Variable Speed Refrigeration Compressor PAGEREF _Toc13040091 \h 174 HYPERLINK \l "_Toc13040092" 3.5.8 Strip Curtains for Walk-In Freezers and Coolers PAGEREF _Toc13040092 \h 177 HYPERLINK \l "_Toc13040093" 3.5.9 Night Covers for Display Cases PAGEREF _Toc13040093 \h 180 HYPERLINK \l "_Toc13040094" 3.5.10 Auto Closers PAGEREF _Toc13040094 \h 182 HYPERLINK \l "_Toc13040095" 3.5.11 Door Gaskets for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc13040095 \h 184 HYPERLINK \l "_Toc13040096" 3.5.12 Special Doors with Low or No Anti-Sweat Heat for Reach-In Freezers and Coolers PAGEREF _Toc13040096 \h 186 HYPERLINK \l "_Toc13040097" 3.5.13 Suction Pipe Insulation for Walk-In Coolers and Freezers PAGEREF _Toc13040097 \h 188 HYPERLINK \l "_Toc13040098" 3.5.14 Refrigerated Display Cases with Doors Replacing Open Cases PAGEREF _Toc13040098 \h 190 HYPERLINK \l "_Toc13040099" 3.5.15 Adding Doors to Existing Refrigerated Display Cases PAGEREF _Toc13040099 \h 192 HYPERLINK \l "_Toc13040100" 3.5.16 Air-Cooled Refrigeration Condenser PAGEREF _Toc13040100 \h 194 HYPERLINK \l "_Toc13040101" 3.5.17 Refrigerated Case Light Occupancy Sensors PAGEREF _Toc13040101 \h 196 HYPERLINK \l "_Toc13040102" 3.5.18 Refrigeration Economizers PAGEREF _Toc13040102 \h 198 HYPERLINK \l "_Toc13040103" 3.6 Appliances PAGEREF _Toc13040103 \h 202 HYPERLINK \l "_Toc13040104" 3.6.1 ENERGY STAR Clothes Washer PAGEREF _Toc13040104 \h 202 HYPERLINK \l "_Toc13040105" 3.6.2 ENERGY STAR Bathroom Ventilation Fan in Commercial Applications PAGEREF _Toc13040105 \h 209 HYPERLINK \l "_Toc13040106" 3.7 Food Service Equipment PAGEREF _Toc13040106 \h 212 HYPERLINK \l "_Toc13040107" 3.7.1 ENERGY STAR Ice Machines PAGEREF _Toc13040107 \h 212 HYPERLINK \l "_Toc13040108" 3.7.2 Controls: Beverage Machine Controls PAGEREF _Toc13040108 \h 216 HYPERLINK \l "_Toc13040109" 3.7.3 Controls: Snack Machine Controls PAGEREF _Toc13040109 \h 219 HYPERLINK \l "_Toc13040110" 3.7.4 ENERGY STAR Electric Steam Cooker PAGEREF _Toc13040110 \h 221 HYPERLINK \l "_Toc13040111" 3.7.5 ENERGY STAR Combination Oven PAGEREF _Toc13040111 \h 225 HYPERLINK \l "_Toc13040112" 3.7.6 ENERGY STAR Commercial Convection Oven PAGEREF _Toc13040112 \h 229 HYPERLINK \l "_Toc13040113" 3.7.7 ENERGY STAR Commercial Fryer PAGEREF _Toc13040113 \h 232 HYPERLINK \l "_Toc13040114" 3.7.8 ENERGY STAR Commercial Hot Food Holding Cabinet PAGEREF _Toc13040114 \h 235 HYPERLINK \l "_Toc13040115" 3.7.9 ENERGY STAR Commercial Dishwasher PAGEREF _Toc13040115 \h 238 HYPERLINK \l "_Toc13040116" 3.7.10 ENERGY STAR Commercial Griddle PAGEREF _Toc13040116 \h 242 HYPERLINK \l "_Toc13040117" 3.8 Building Shell PAGEREF _Toc13040117 \h 245 HYPERLINK \l "_Toc13040118" 3.8.1 Wall and Ceiling Insulation PAGEREF _Toc13040118 \h 245 HYPERLINK \l "_Toc13040119" 3.9 Consumer Electronics PAGEREF _Toc13040119 \h 248 HYPERLINK \l "_Toc13040120" 3.9.1 ENERGY STAR Office Equipment PAGEREF _Toc13040120 \h 248 HYPERLINK \l "_Toc13040121" 3.9.2 Office Equipment – Network Power Management Enabling PAGEREF _Toc13040121 \h 254 HYPERLINK \l "_Toc13040122" 3.9.3 Advanced Power Strips PAGEREF _Toc13040122 \h 257 HYPERLINK \l "_Toc13040123" 3.9.4 ENERGY STAR Servers PAGEREF _Toc13040123 \h 260 HYPERLINK \l "_Toc13040124" 3.9.5 Server Virtualization PAGEREF _Toc13040124 \h 264 HYPERLINK \l "_Toc13040125" 3.10 Compressed Air PAGEREF _Toc13040125 \h 268 HYPERLINK \l "_Toc13040126" 3.10.1 Cycling Refrigerated Thermal Mass Dryer PAGEREF _Toc13040126 \h 268 HYPERLINK \l "_Toc13040127" 3.10.2 Air-Entraining Air Nozzle PAGEREF _Toc13040127 \h 271 HYPERLINK \l "_Toc13040128" 3.10.3 No-Loss Condensate Drains PAGEREF _Toc13040128 \h 275 HYPERLINK \l "_Toc13040129" 3.10.4 Air Tanks for Load/No Load Compressors PAGEREF _Toc13040129 \h 280 HYPERLINK \l "_Toc13040130" 3.10.5 Variable-Speed Drive Air Compressor PAGEREF _Toc13040130 \h 283 HYPERLINK \l "_Toc13040131" 3.10.6 Compressed Air Controller PAGEREF _Toc13040131 \h 286 HYPERLINK \l "_Toc13040132" 3.10.7 Compressed Air Low Pressure Drop Filters PAGEREF _Toc13040132 \h 289 HYPERLINK \l "_Toc13040133" 3.10.8 Compressed Air Mist Eliminators PAGEREF _Toc13040133 \h 292 HYPERLINK \l "_Toc13040134" 3.11 Miscellaneous PAGEREF _Toc13040134 \h 296 HYPERLINK \l "_Toc13040135" 3.11.1 High Efficiency Transformer PAGEREF _Toc13040135 \h 296 HYPERLINK \l "_Toc13040136" 3.11.2 Engine Block Heat Timer PAGEREF _Toc13040136 \h 299 HYPERLINK \l "_Toc13040137" 3.11.3 High Frequency Battery Chargers PAGEREF _Toc13040137 \h 301 HYPERLINK \l "_Toc13040138" 3.12 Demand Response PAGEREF _Toc13040138 \h 305 HYPERLINK \l "_Toc13040139" 3.12.1 Load Curtailment for Commercial and Industrial Programs PAGEREF _Toc13040139 \h 305 HYPERLINK \l "_Toc13040140" 4 Agricultural Measures PAGEREF _Toc13040140 \h 308 HYPERLINK \l "_Toc13040141" 4.1 Agricultural PAGEREF _Toc13040141 \h 308 HYPERLINK \l "_Toc13040142" 4.1.1 Automatic Milker Takeoffs PAGEREF _Toc13040142 \h 308 HYPERLINK \l "_Toc13040143" 4.1.2 Dairy Scroll Compressors PAGEREF _Toc13040143 \h 310 HYPERLINK \l "_Toc13040144" 4.1.3 High Efficiency Ventilation Fans with and without Thermostats PAGEREF _Toc13040144 \h 313 HYPERLINK \l "_Toc13040145" 4.1.4 Heat Reclaimers PAGEREF _Toc13040145 \h 317 HYPERLINK \l "_Toc13040146" 4.1.5 High Volume Low Speed Fans PAGEREF _Toc13040146 \h 320 HYPERLINK \l "_Toc13040147" 4.1.6 Livestock Waterer PAGEREF _Toc13040147 \h 322 HYPERLINK \l "_Toc13040148" 4.1.7 Variable Speed Drive (VSD) Controller on Dairy Vacuum Pumps PAGEREF _Toc13040148 \h 324 HYPERLINK \l "_Toc13040149" 4.1.8 Low Pressure Irrigation System PAGEREF _Toc13040149 \h 328 HYPERLINK \l "_Toc535434401" 3 Commercial and Industrial Measures PAGEREF _Toc535434401 \h 14 HYPERLINK \l "_Toc535434402" 3.1 Lighting PAGEREF _Toc535434402 \h 14 HYPERLINK \l "_Toc535434403" 3.1.1 Lighting Improvements PAGEREF _Toc535434403 \h 14 HYPERLINK \l "_Toc535434404" 3.1.2 New Construction Lighting PAGEREF _Toc535434404 \h 24 HYPERLINK \l "_Toc535434405" 3.1.3 Lighting Controls PAGEREF _Toc535434405 \h 36 HYPERLINK \l "_Toc535434406" 3.1.4 Traffic Lights PAGEREF _Toc535434406 \h 39 HYPERLINK \l "_Toc535434407" 3.1.5 LED Exit Signs PAGEREF _Toc535434407 \h 42 HYPERLINK \l "_Toc535434408" 3.1.6 LED Channel Signage PAGEREF _Toc535434408 \h 45 HYPERLINK \l "_Toc535434409" 3.1.7 LED Refrigeration Display Case Lighting PAGEREF _Toc535434409 \h 48 HYPERLINK \l "_Toc535434410" 3.2 HVAC PAGEREF _Toc535434410 \h 51 HYPERLINK \l "_Toc535434411" 3.2.1 HVAC Systems PAGEREF _Toc535434411 \h 51 HYPERLINK \l "_Toc535434412" 3.2.2 Electric Chillers PAGEREF _Toc535434412 \h 61 HYPERLINK \l "_Toc535434413" 3.2.3 Water Source and Geothermal Heat Pumps PAGEREF _Toc535434413 \h 66 HYPERLINK \l "_Toc535434414" 3.2.4 Ductless Mini-Split Heat Pumps – Commercial < 5.4 tons PAGEREF _Toc535434414 \h 77 HYPERLINK \l "_Toc535434415" 3.2.5 Fuel Switching: Small Commercial Electric Heat to Natural gas / Propane / Oil Heat PAGEREF _Toc535434415 \h 82 HYPERLINK \l "_Toc535434416" 3.2.6 Small C/I HVAC Refrigerant Charge Correction PAGEREF _Toc535434416 \h 87 HYPERLINK \l "_Toc535434417" 3.2.7 ENERGY STAR Room Air Conditioner PAGEREF _Toc535434417 \h 94 HYPERLINK \l "_Toc535434418" 3.2.8 Controls: Guest Room Occupancy Sensor PAGEREF _Toc535434418 \h 98 HYPERLINK \l "_Toc535434419" 3.2.9 Controls: Economizer PAGEREF _Toc535434419 \h 102 HYPERLINK \l "_Toc535434420" 3.3 Motors and VFDs PAGEREF _Toc535434420 \h 107 HYPERLINK \l "_Toc535434421" 3.3.1 Premium Efficiency Motors PAGEREF _Toc535434421 \h 107 HYPERLINK \l "_Toc535434422" 3.3.2 Variable Frequency Drive (VFD) Improvements PAGEREF _Toc535434422 \h 124 HYPERLINK \l "_Toc535434423" 3.3.3 ECM Circulating Fan PAGEREF _Toc535434423 \h 127 HYPERLINK \l "_Toc535434424" 3.3.4 VSD on Kitchen Exhaust Fan PAGEREF _Toc535434424 \h 133 HYPERLINK \l "_Toc535434425" 3.4 Domestic Hot Water PAGEREF _Toc535434425 \h 135 HYPERLINK \l "_Toc535434426" 3.4.1 Heat Pump Water Heaters PAGEREF _Toc535434426 \h 135 HYPERLINK \l "_Toc535434427" 3.4.2 Low Flow Pre-Rinse Sprayers for Retrofit Programs PAGEREF _Toc535434427 \h 144 HYPERLINK \l "_Toc535434428" 3.4.3 Low Flow Pre-Rinse Sprayers for Time of Sale / Retail Programs PAGEREF _Toc535434428 \h 149 HYPERLINK \l "_Toc535434429" 3.4.4 Fuel Switching: Electric Resistance Water Heaters to Gas / Oil / Propane PAGEREF _Toc535434429 \h 154 HYPERLINK \l "_Toc535434430" 3.4.5 Fuel Switching: Heat Pump Water Heaters to Gas / Oil / Propane PAGEREF _Toc535434430 \h 160 HYPERLINK \l "_Toc535434431" 3.5 Refrigeration PAGEREF _Toc535434431 \h 169 HYPERLINK \l "_Toc535434432" 3.5.1 High-Efficiency Refrigeration/Freezer Cases PAGEREF _Toc535434432 \h 169 HYPERLINK \l "_Toc535434433" 3.5.2 High-Efficiency Evaporator Fan Motors for Reach-In Refrigerated Cases PAGEREF _Toc535434433 \h 173 HYPERLINK \l "_Toc535434434" 3.5.3 High-Efficiency Evaporator Fan Motors for Walk-in Refrigerated Cases PAGEREF _Toc535434434 \h 177 HYPERLINK \l "_Toc535434435" 3.5.4 Controls: Evaporator Fan Controllers PAGEREF _Toc535434435 \h 182 HYPERLINK \l "_Toc535434436" 3.5.5 Controls: Floating Head Pressure Controls PAGEREF _Toc535434436 \h 185 HYPERLINK \l "_Toc535434437" 3.5.6 Controls: Anti-Sweat Heater Controls PAGEREF _Toc535434437 \h 189 HYPERLINK \l "_Toc535434438" 3.5.7 Controls: Evaporator Coil Defrost Control PAGEREF _Toc535434438 \h 193 HYPERLINK \l "_Toc535434439" 3.5.8 Variable Speed Refrigeration Compressor PAGEREF _Toc535434439 \h 196 HYPERLINK \l "_Toc535434440" 3.5.9 Strip Curtains for Walk-In Freezers and Coolers PAGEREF _Toc535434440 \h 198 HYPERLINK \l "_Toc535434441" 3.5.10 Night Covers for Display Cases PAGEREF _Toc535434441 \h 208 HYPERLINK \l "_Toc535434442" 3.5.11 Auto Closers PAGEREF _Toc535434442 \h 211 HYPERLINK \l "_Toc535434443" 3.5.12 Door Gaskets for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc535434443 \h 214 HYPERLINK \l "_Toc535434444" 3.5.13 Special Doors with Low or No Anti-Sweat Heat for Low Temp Case PAGEREF _Toc535434444 \h 216 HYPERLINK \l "_Toc535434445" 3.5.14 Suction Pipe Insulation for Walk-In Coolers and Freezers PAGEREF _Toc535434445 \h 219 HYPERLINK \l "_Toc535434446" 3.5.15 Refrigerated Display Cases with Doors Replacing Open Cases PAGEREF _Toc535434446 \h 221 HYPERLINK \l "_Toc535434447" 3.5.16 Adding Doors to Existing Refrigerated Display Cases PAGEREF _Toc535434447 \h 223 HYPERLINK \l "_Toc535434448" 3.6 Appliances PAGEREF _Toc535434448 \h 225 HYPERLINK \l "_Toc535434449" 3.6.1 ENERGY STAR Clothes Washer PAGEREF _Toc535434449 \h 225 HYPERLINK \l "_Toc535434450" 3.7 Food Service Equipment PAGEREF _Toc535434450 \h 233 HYPERLINK \l "_Toc535434451" 3.7.1 High-Efficiency Ice Machines PAGEREF _Toc535434451 \h 233 HYPERLINK \l "_Toc535434452" 3.7.2 Controls: Beverage Machine Controls PAGEREF _Toc535434452 \h 238 HYPERLINK \l "_Toc535434453" 3.7.3 Controls: Snack Machine Controls PAGEREF _Toc535434453 \h 241 HYPERLINK \l "_Toc535434454" 3.7.4 ENERGY STAR Electric Steam Cooker PAGEREF _Toc535434454 \h 243 HYPERLINK \l "_Toc535434455" 3.7.5 ENERGY STAR Refrigerated Beverage Machine PAGEREF _Toc535434455 \h 248 HYPERLINK \l "_Toc535434456" 3.8 Building Shell PAGEREF _Toc535434456 \h 251 HYPERLINK \l "_Toc535434457" 3.8.1 Wall and Ceiling Insulation PAGEREF _Toc535434457 \h 251 HYPERLINK \l "_Toc535434458" 3.9 Consumer Electronics PAGEREF _Toc535434458 \h 256 HYPERLINK \l "_Toc535434459" 3.9.1 ENERGY STAR Office Equipment PAGEREF _Toc535434459 \h 256 HYPERLINK \l "_Toc535434460" 3.9.2 Office Equipment – Network Power Management Enabling PAGEREF _Toc535434460 \h 261 HYPERLINK \l "_Toc535434461" 3.9.3 Smart Strip Plug Outlets PAGEREF _Toc535434461 \h 264 HYPERLINK \l "_Toc535434462" 3.10 Compressed Air PAGEREF _Toc535434462 \h 266 HYPERLINK \l "_Toc535434463" 3.10.1 Cycling Refrigerated Thermal Mass Dryer PAGEREF _Toc535434463 \h 266 HYPERLINK \l "_Toc535434464" 3.10.2 Air-Entraining Air Nozzle PAGEREF _Toc535434464 \h 269 HYPERLINK \l "_Toc535434465" 3.10.3 No-Loss Condensate Drains PAGEREF _Toc535434465 \h 273 HYPERLINK \l "_Toc535434466" 3.10.4 Air Tanks for Load/No Load Compressors PAGEREF _Toc535434466 \h 278 HYPERLINK \l "_Toc535434467" 3.11 Miscellaneous PAGEREF _Toc535434467 \h 281 HYPERLINK \l "_Toc535434468" 3.11.1 ENERGY STAR Servers PAGEREF _Toc535434468 \h 281 HYPERLINK \l "_Toc535434469" 4 Agricultural Measures PAGEREF _Toc535434469 \h 286 HYPERLINK \l "_Toc535434470" 4.1 Agricultural PAGEREF _Toc535434470 \h 286 HYPERLINK \l "_Toc535434471" 4.1.1 Automatic Milker Takeoffs PAGEREF _Toc535434471 \h 286 HYPERLINK \l "_Toc535434472" 4.1.2 Dairy Scroll Compressors PAGEREF _Toc535434472 \h 289 HYPERLINK \l "_Toc535434473" 4.1.3 High Efficiency Ventilation Fans with and without Thermostats PAGEREF _Toc535434473 \h 292 HYPERLINK \l "_Toc535434474" 4.1.4 Heat Reclaimers PAGEREF _Toc535434474 \h 296 HYPERLINK \l "_Toc535434475" 4.1.5 High Volume Low Speed Fans PAGEREF _Toc535434475 \h 299 HYPERLINK \l "_Toc535434476" 4.1.6 Livestock Waterer PAGEREF _Toc535434476 \h 302 HYPERLINK \l "_Toc535434477" 4.1.7 Variable Speed Drive (VSD) Controller on Dairy Vacuum Pumps PAGEREF _Toc535434477 \h 305 HYPERLINK \l "_Toc535434478" 4.1.8 Low Pressure Irrigation System PAGEREF _Toc535434478 \h 309List of Figures TOC \h \z \c "Figure" HYPERLINK \l "_Toc13040150" Figure 31: Dependence of COP on Outdoor Wet Bulb Temperature PAGEREF _Toc13040150 \h 145 HYPERLINK \l "_Toc13040151" Figure 32: Utilization factor for a sample week in July PAGEREF _Toc13040151 \h 204 HYPERLINK \l "_Toc13040152" Figure 41: Typical Dairy Vacuum Pump Coincident Peak Demand Reduction PAGEREF _Toc13040152 \h 325 HYPERLINK \l "_Toc535434479" Figure 31: Load shapes for hot water in four commercial building types PAGEREF _Toc535434479 \h 137 HYPERLINK \l "_Toc535434480" Figure 32: Energy to demand factors for four commercial building types PAGEREF _Toc535434480 \h 137 HYPERLINK \l "_Toc535434481" Figure 33: Dependence of COP on Outdoor Wetbulb Temperature PAGEREF _Toc535434481 \h 139 HYPERLINK \l "_Toc535434482" Figure 34: Load shapes for hot water in four commercial building types PAGEREF _Toc535434482 \h 145 HYPERLINK \l "_Toc535434483" Figure 35: Energy to demand factors for four commercial building types. PAGEREF _Toc535434483 \h 145 HYPERLINK \l "_Toc535434484" Figure 36: Load shapes for hot water in four commercial building types PAGEREF _Toc535434484 \h 150 HYPERLINK \l "_Toc535434485" Figure 37: Energy to demand factors for four commercial building types. PAGEREF _Toc535434485 \h 151 HYPERLINK \l "_Toc535434486" Figure 38: Load Shapes for Hot Water in Four Commercial Building Types PAGEREF _Toc535434486 \h 156 HYPERLINK \l "_Toc535434487" Figure 39: Energy to Demand Factors for Four Commercial Building Types PAGEREF _Toc535434487 \h 156 HYPERLINK \l "_Toc535434488" Figure 310: Load Shapes for Hot Water in Four Commercial Building Types PAGEREF _Toc535434488 \h 162 HYPERLINK \l "_Toc535434489" Figure 311: Energy to Demand Factors for Four Commercial Building Types PAGEREF _Toc535434489 \h 162 HYPERLINK \l "_Toc535434490" Figure 312: Dependence of COP on Outdoor Wetbulb Temperature PAGEREF _Toc535434490 \h 164 HYPERLINK \l "_Toc535434491" Figure 313: Utilization factor for a sample week in July PAGEREF _Toc535434491 \h 227 HYPERLINK \l "_Toc535434492" Figure 41: Typical Dairy Vacuum Pump Coincident Peak Demand Reduction PAGEREF _Toc535434492 \h 306List of Tables TOC \h \z \c "Table" HYPERLINK \l "_Toc13040153" Table 31: Assumed T-8 Baseline Fixtures for Removed T-12 Fixtures PAGEREF _Toc13040153 \h 13 HYPERLINK \l "_Toc13040154" Table 32: Assumed Generic GSL Baseline Lamps/Fixtures for Removed Incandescent Lamps/Fixtures PAGEREF _Toc13040154 \h 14 HYPERLINK \l "_Toc13040155" Table 33: Terms, Values, and References for Lighting Improvements PAGEREF _Toc13040155 \h 17 HYPERLINK \l "_Toc13040156" Table 34: Savings Control Factors Assumptions PAGEREF _Toc13040156 \h 18 HYPERLINK \l "_Toc13040157" Table 35: Lighting HOU and CF by Building Type for Screw-Based Bulbs PAGEREF _Toc13040157 \h 19 HYPERLINK \l "_Toc13040158" Table 36: Lighting HOU and CF by Building Type for Other General Service Lighting PAGEREF _Toc13040158 \h 20 HYPERLINK \l "_Toc13040159" Table 37: Street lighting HOU by EDC PAGEREF _Toc13040159 \h 21 HYPERLINK \l "_Toc13040160" Table 38: Interactive Factors for All Bulb Types PAGEREF _Toc13040160 \h 21 HYPERLINK \l "_Toc13040161" Table 39: Interactive Factors for Comfort Cooled Spaces for All Building Types PAGEREF _Toc13040161 \h 21 HYPERLINK \l "_Toc13040162" Table 310: Connected Load of the Baseline Lighting PAGEREF _Toc13040162 \h 22 HYPERLINK \l "_Toc13040163" Table 311: Terms, Values, and References for New Construction Lighting PAGEREF _Toc13040163 \h 27 HYPERLINK \l "_Toc13040164" Table 312: Lighting Power Densities from IECC 2015 Building Area Method Source 2 PAGEREF _Toc13040164 \h 28 HYPERLINK \l "_Toc13040165" Table 313: Lighting Power Densities from IECC 2015 Space-by-Space Method Source 2 PAGEREF _Toc13040165 \h 28 HYPERLINK \l "_Toc13040166" Table 314: Baseline Exterior Lighting Power Densities Source 2 PAGEREF _Toc13040166 \h 31 HYPERLINK \l "_Toc13040167" Table 315: Default Baseline Savings Control Factors Assumptions for New Construction Only PAGEREF _Toc13040167 \h 32 HYPERLINK \l "_Toc13040168" Table 316: Terms, Values, and References for Lighting Controls PAGEREF _Toc13040168 \h 37 HYPERLINK \l "_Toc13040169" Table 317: Terms, Values, and References for LED Exit Signs PAGEREF _Toc13040169 \h 40 HYPERLINK \l "_Toc13040170" Table 318: Terms, Values, and References for LED Channel Signage PAGEREF _Toc13040170 \h 43 HYPERLINK \l "_Toc13040171" Table 319: Terms, Values, and References for LED Refrigeration Case Lighting PAGEREF _Toc13040171 \h 46 HYPERLINK \l "_Toc13040172" Table 320: Terms, Values, and References for Lighting Improvements for Midstream Delivery Programs PAGEREF _Toc13040172 \h 48 HYPERLINK \l "_Toc13040173" Table 321: Baseline Wattage, Omnidirectional Lamps PAGEREF _Toc13040173 \h 49 HYPERLINK \l "_Toc13040174" Table 322: Baseline Wattage, Decorative Lamps PAGEREF _Toc13040174 \h 49 HYPERLINK \l "_Toc13040175" Table 323: Baseline Wattage, Directional Lamps PAGEREF _Toc13040175 \h 50 HYPERLINK \l "_Toc13040176" Table 324: Baseline Wattage, Linear Lamps & Fixtures, HID Interior and Exterior Fixtures PAGEREF _Toc13040176 \h 51 HYPERLINK \l "_Toc13040177" Table 325: Terms, Values, and References for HVAC Systems PAGEREF _Toc13040177 \h 56 HYPERLINK \l "_Toc13040178" Table 326: HVAC Baseline Efficiencies PAGEREF _Toc13040178 \h 58 HYPERLINK \l "_Toc13040179" Table 327: Cooling EFLHs for Pennsylvania Cities PAGEREF _Toc13040179 \h 60 HYPERLINK \l "_Toc13040180" Table 328: Cooling Demand CFs for Pennsylvania Cities PAGEREF _Toc13040180 \h 61 HYPERLINK \l "_Toc13040181" Table 329: Heating EFLHs for Pennsylvania Cities PAGEREF _Toc13040181 \h 62 HYPERLINK \l "_Toc13040182" Table 330: Terms, Values, and References for Electric Chillers PAGEREF _Toc13040182 \h 65 HYPERLINK \l "_Toc13040183" Table 331: Electric Chiller Baseline Efficiencies PAGEREF _Toc13040183 \h 66 HYPERLINK \l "_Toc13040184" Table 332: Chiller EFLHs for Pennsylvania Cities PAGEREF _Toc13040184 \h 67 HYPERLINK \l "_Toc13040185" Table 333: Chiller Demand CFs for Pennsylvania Cities PAGEREF _Toc13040185 \h 67 HYPERLINK \l "_Toc13040186" Table 334: Water Source or Geothermal Heat Pump Baseline Assumptions PAGEREF _Toc13040186 \h 70 HYPERLINK \l "_Toc13040187" Table 335: Terms, Values, and References for Geothermal Heat Pumps PAGEREF _Toc13040187 \h 71 HYPERLINK \l "_Toc13040188" Table 336: Federal Baseline Motor Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc13040188 \h 74 HYPERLINK \l "_Toc13040189" Table 337: Ground/Water Loop Pump and Circulating Pump Efficiency PAGEREF _Toc13040189 \h 75 HYPERLINK \l "_Toc13040190" Table 338: Default Baseline Equipment Efficiencies PAGEREF _Toc13040190 \h 76 HYPERLINK \l "_Toc13040191" Table 339: Terms, Values, and References for DHP PAGEREF _Toc13040191 \h 79 HYPERLINK \l "_Toc13040192" Table 340: ENERGY STAR Requirements for Furnaces and Boilers PAGEREF _Toc13040192 \h 82 HYPERLINK \l "_Toc13040193" Table 341: Terms, Values, and References for Fuel Switching PAGEREF _Toc13040193 \h 84 HYPERLINK \l "_Toc13040194" Table 342: Terms, Values, and References for Refrigerant Charge Correction PAGEREF _Toc13040194 \h 88 HYPERLINK \l "_Toc13040195" Table 343: Refrigerant charge correction COP degradation factor (RCF) for various relative charge adjustments for both TXV metered and non-TXV units PAGEREF _Toc13040195 \h 89 HYPERLINK \l "_Toc13040196" Table 344: Terms, Values, and References for ENERGY STAR Room Air Conditioners PAGEREF _Toc13040196 \h 92 HYPERLINK \l "_Toc13040197" Table 345: RAC Federal Minimum Efficiency and ENERGY STAR Version 4.1 Standards PAGEREF _Toc13040197 \h 93 HYPERLINK \l "_Toc13040198" Table 346: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.1 Standards PAGEREF _Toc13040198 \h 93 HYPERLINK \l "_Toc13040199" Table 347: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.1 Standards PAGEREF _Toc13040199 \h 93 HYPERLINK \l "_Toc13040200" Table 348: Terms, Values, and References for Guest Room Occupancy Sensors PAGEREF _Toc13040200 \h 95 HYPERLINK \l "_Toc13040201" Table 349: Energy Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc13040201 \h 96 HYPERLINK \l "_Toc13040202" Table 350: Energy Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc13040202 \h 96 HYPERLINK \l "_Toc13040203" Table 351: Peak Demand Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc13040203 \h 96 HYPERLINK \l "_Toc13040204" Table 352: Peak Demand Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc13040204 \h 97 HYPERLINK \l "_Toc13040205" Table 353: Terms, Values, and References for Economizers PAGEREF _Toc13040205 \h 99 HYPERLINK \l "_Toc13040206" Table 354: FCHr for PA Climate Zones and Various Operating Conditions PAGEREF _Toc13040206 \h 99 HYPERLINK \l "_Toc13040207" Table 355: Terms, Values, and References for Computer Room Air Conditioners PAGEREF _Toc13040207 \h 102 HYPERLINK \l "_Toc13040208" Table 356: Computer Room Air Conditioner Baseline Efficiencies PAGEREF _Toc13040208 \h 103 HYPERLINK \l "_Toc13040209" Table 357: Terms, Values, and References for CRAC/CRAH EC Plug Fans PAGEREF _Toc13040209 \h 106 HYPERLINK \l "_Toc13040210" Table 358: Default ‘per HP’ Savings for CRAC/CRAH EC Plug Fans PAGEREF _Toc13040210 \h 107 HYPERLINK \l "_Toc13040211" Table 359: Terms, Values, and References for CRAC/CRAH VSD on AC Fan Motors PAGEREF _Toc13040211 \h 109 HYPERLINK \l "_Toc13040212" Table 360: Default Savings for CRAC/CRAH VSD on AC Fan Motors PAGEREF _Toc13040212 \h 109 HYPERLINK \l "_Toc13040213" Table 361: Terms, Values, and References for HVLS Fans PAGEREF _Toc13040213 \h 112 HYPERLINK \l "_Toc13040214" Table 362: Default Values for Conventional and HVLS Fan Wattages PAGEREF _Toc13040214 \h 112 HYPERLINK \l "_Toc13040215" Table 363: Default Hours of Use by Building Type and Region PAGEREF _Toc13040215 \h 113 HYPERLINK \l "_Toc13040216" Table 364: Terms, Values, and References for Premium Efficiency Motors PAGEREF _Toc13040216 \h 116 HYPERLINK \l "_Toc13040217" Table 365: Baseline Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc13040217 \h 117 HYPERLINK \l "_Toc13040218" Table 366: Baseline Motor Efficiencies for NEMA Design C Motors PAGEREF _Toc13040218 \h 118 HYPERLINK \l "_Toc13040219" Table 367: Default RHRS and CFs for Supply Fan Motors in Commercial Buildings PAGEREF _Toc13040219 \h 119 HYPERLINK \l "_Toc13040220" Table 368: Default RHRS and CFs for Chilled Water Pump (CHWP) Motors in Commercial Buildings PAGEREF _Toc13040220 \h 121 HYPERLINK \l "_Toc13040221" Table 369: Default RHRS and CFs for Cooling Tower Fan (CTF) Motors in Commercial Buildings PAGEREF _Toc13040221 \h 122 HYPERLINK \l "_Toc13040222" Table 370: Default RHRS and CFs for Heating Hot Water Pump (HHWP) Motors in Commercial Buildings PAGEREF _Toc13040222 \h 123 HYPERLINK \l "_Toc13040223" Table 371: Default RHRS and CFs for Condenser Water Pump Motors in Commercial Buildings PAGEREF _Toc13040223 \h 124 HYPERLINK \l "_Toc13040224" Table 372: Terms, Values, and References for VFDs PAGEREF _Toc13040224 \h 127 HYPERLINK \l "_Toc13040225" Table 373: Default Load Profiles for HVAC Fans and Pumps PAGEREF _Toc13040225 \h 128 HYPERLINK \l "_Toc13040226" Table 374: Supply/Return and Cooling Tower Fan Power Part Load Ratios PAGEREF _Toc13040226 \h 128 HYPERLINK \l "_Toc13040227" Table 375: HVAC Pump Power Part Load Ratios PAGEREF _Toc13040227 \h 128 HYPERLINK \l "_Toc13040228" Table 376: Terms, Values, and References for ECM Circulating Fans PAGEREF _Toc13040228 \h 132 HYPERLINK \l "_Toc13040229" Table 377: Default Motor Efficiency by Motor Type PAGEREF _Toc13040229 \h 133 HYPERLINK \l "_Toc13040230" Table 378: Terms, Values, and References for VSD on Kitchen Exhaust Fans PAGEREF _Toc13040230 \h 134 HYPERLINK \l "_Toc13040231" Table 379: Terms, Values, and References for ECM Circulator Pumps PAGEREF _Toc13040231 \h 137 HYPERLINK \l "_Toc13040232" Table 380: Terms, Values, and References for Premium Efficiency Motors PAGEREF _Toc13040232 \h 141 HYPERLINK \l "_Toc13040233" Table 381: Baseline Pump Energy Indices PAGEREF _Toc13040233 \h 142 HYPERLINK \l "_Toc13040234" Table 382: Typical water heating Gallons per Year and Energy to Demand Factors PAGEREF _Toc13040234 \h 144 HYPERLINK \l "_Toc13040235" Table 383: COP Adjustment Factors, Fadjust PAGEREF _Toc13040235 \h 145 HYPERLINK \l "_Toc13040236" Table 384: Terms, Values, and References for Heat Pump Water Heaters PAGEREF _Toc13040236 \h 146 HYPERLINK \l "_Toc13040237" Table 385: Minimum Baseline Uniform Energy Factor Based on Storage Volume PAGEREF _Toc13040237 \h 146 HYPERLINK \l "_Toc13040238" Table 386: Default Energy Savings PAGEREF _Toc13040238 \h 147 HYPERLINK \l "_Toc13040239" Table 387: Typical Energy to Demand Factors PAGEREF _Toc13040239 \h 150 HYPERLINK \l "_Toc13040240" Table 388: Terms, Values, and References for Low Flow Pre-Rinse Sprayers PAGEREF _Toc13040240 \h 150 HYPERLINK \l "_Toc13040241" Table 389: Flow Rate and Usage Duration by Program PAGEREF _Toc13040241 \h 151 HYPERLINK \l "_Toc13040242" Table 390: Low Flow Pre-Rinse Sprayer Default Savings PAGEREF _Toc13040242 \h 151 HYPERLINK \l "_Toc13040243" Table 391: Terms, Values, and References for Commercial Water Heater Fuel Switching PAGEREF _Toc13040243 \h 154 HYPERLINK \l "_Toc13040244" Table 392: Minimum Baseline Uniform Energy Factor for Gas Water Heaters PAGEREF _Toc13040244 \h 155 HYPERLINK \l "_Toc13040245" Table 393: Water Heating Fuel Switch Energy Savings Algorithms PAGEREF _Toc13040245 \h 155 HYPERLINK \l "_Toc13040246" Table 394: Terms, Values, and References for High-Efficiency Refrigeration/Freezer Cases PAGEREF _Toc13040246 \h 157 HYPERLINK \l "_Toc13040247" Table 395: Refrigeration & Freezer Case Efficiencies PAGEREF _Toc13040247 \h 158 HYPERLINK \l "_Toc13040248" Table 396: Terms, Values, and References for High-Efficiency Evaporator Fan Motors PAGEREF _Toc13040248 \h 160 HYPERLINK \l "_Toc13040249" Table 397: Terms, Values, and References for Evaporator Fan Controllers PAGEREF _Toc13040249 \h 163 HYPERLINK \l "_Toc13040250" Table 398: Terms, Values, and References for Floating Head Pressure Controls PAGEREF _Toc13040250 \h 166 HYPERLINK \l "_Toc13040251" Table 399: Annual Savings kWh/HP by Location PAGEREF _Toc13040251 \h 167 HYPERLINK \l "_Toc13040252" Table 3100: Default Condenser Type Annual Savings kWh/HP by Location PAGEREF _Toc13040252 \h 167 HYPERLINK \l "_Toc13040253" Table 3101: Terms, Values, and References for Anti-Sweat Heater Controls PAGEREF _Toc13040253 \h 170 HYPERLINK \l "_Toc13040254" Table 3102: Per Door Savings with ASDH PAGEREF _Toc13040254 \h 171 HYPERLINK \l "_Toc13040255" Table 3103: Terms, Values, and References for Evaporator Coil Defrost Controls PAGEREF _Toc13040255 \h 172 HYPERLINK \l "_Toc13040256" Table 3104: Terms, Values, and References for VSD Compressors PAGEREF _Toc13040256 \h 175 HYPERLINK \l "_Toc13040257" Table 3105: Terms, Values, and References for Strip Curtains PAGEREF _Toc13040257 \h 178 HYPERLINK \l "_Toc13040258" Table 3106: Doorway Area Assumptions PAGEREF _Toc13040258 \h 178 HYPERLINK \l "_Toc13040259" Table 3107: Default Energy Savings and Demand Reductions for Strip Curtains per Square Foot PAGEREF _Toc13040259 \h 178 HYPERLINK \l "_Toc13040260" Table 3108: Terms, Values, and References for Night Covers PAGEREF _Toc13040260 \h 180 HYPERLINK \l "_Toc13040261" Table 3109: Savings Factors PAGEREF _Toc13040261 \h 181 HYPERLINK \l "_Toc13040262" Table 3110: Terms, Values, and References for Auto Closers PAGEREF _Toc13040262 \h 183 HYPERLINK \l "_Toc13040263" Table 3111: Refrigeration Auto Closers Default Savings PAGEREF _Toc13040263 \h 183 HYPERLINK \l "_Toc13040264" Table 3112: Terms, Values, and References for Door Gaskets PAGEREF _Toc13040264 \h 184 HYPERLINK \l "_Toc13040265" Table 3113: Door Gasket Savings Per Door for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc13040265 \h 185 HYPERLINK \l "_Toc13040266" Table 3114: Terms, Values, and References for Special Doors with Low or No Anti-Sweat Heat PAGEREF _Toc13040266 \h 187 HYPERLINK \l "_Toc13040267" Table 3115: Terms, Values, and References for Insulate Bare Refrigeration Suction Pipes PAGEREF _Toc13040267 \h 189 HYPERLINK \l "_Toc13040268" Table 3116: Insulate Bare Refrigeration Suction Pipes Savings per Linear Foot PAGEREF _Toc13040268 \h 189 HYPERLINK \l "_Toc13040269" Table 3117: Terms, Values, and References for Refrigerated Display Cases with Doors Replacing Open Cases PAGEREF _Toc13040269 \h 190 HYPERLINK \l "_Toc13040270" Table 3118: Terms, Values, and References for Adding Doors to Refrigerated Display Cases PAGEREF _Toc13040270 \h 193 HYPERLINK \l "_Toc13040271" Table 3119: Terms, Values, and References for Air-Cooled Refrigeration Condensers PAGEREF _Toc13040271 \h 194 HYPERLINK \l "_Toc13040272" Table 3120: Default Savings for Air-Cooled Refrigeration Condensers PAGEREF _Toc13040272 \h 195 HYPERLINK \l "_Toc13040273" Table 3121: Terms, Values, and References for Refrigerated Case Light Occupancy Sensors PAGEREF _Toc13040273 \h 196 HYPERLINK \l "_Toc13040274" Table 3122: Default energy and demand savings values, per watt of controlled lighting PAGEREF _Toc13040274 \h 197 HYPERLINK \l "_Toc13040275" Table 3123: Terms, Values, and References for Refrigeration Economizers PAGEREF _Toc13040275 \h 199 HYPERLINK \l "_Toc13040276" Table 3124: Hours and kWh Savings per HP for Refrigeration Economizers PAGEREF _Toc13040276 \h 200 HYPERLINK \l "_Toc13040277" Table 3125: Terms, Values, and References for Commercial Clothes Washers PAGEREF _Toc13040277 \h 205 HYPERLINK \l "_Toc13040278" Table 3126: Fuel Shares for Water Heaters and Dryers PAGEREF _Toc13040278 \h 206 HYPERLINK \l "_Toc13040279" Table 3127: Default Savings for Replacing Front-Loading Clothes Washer in Multifamily Buildings with ENERGY STAR Clothes Washer PAGEREF _Toc13040279 \h 207 HYPERLINK \l "_Toc13040280" Table 3128: Default Savings for Replacing Front-Loading Clothes Washer in Laundromats with ENERGY STAR Clothes Washer PAGEREF _Toc13040280 \h 207 HYPERLINK \l "_Toc13040281" Table 3129: Criteria for ENERGY STAR Certified Bathroom Ventilation Fans Source 2 PAGEREF _Toc13040281 \h 209 HYPERLINK \l "_Toc13040282" Table 3130: Terms, Values, and References for ENERGY STAR Bathroom Ventilation Fans PAGEREF _Toc13040282 \h 210 HYPERLINK \l "_Toc13040283" Table 3131: Default Savings for ENERGY STAR Bathroom Ventilation Fans in Commercial Applications PAGEREF _Toc13040283 \h 210 HYPERLINK \l "_Toc13040284" Table 3132: Terms, Values, and References for High-Efficiency Ice Machines PAGEREF _Toc13040284 \h 213 HYPERLINK \l "_Toc13040285" Table 3133: Batch-Type Ice Machine Baseline Efficiencies PAGEREF _Toc13040285 \h 213 HYPERLINK \l "_Toc13040286" Table 3134: Continuous Type Ice Machine Baseline Efficiencies PAGEREF _Toc13040286 \h 214 HYPERLINK \l "_Toc13040287" Table 3135: Batch-Type Ice Machine ENERGY STAR Efficiencies PAGEREF _Toc13040287 \h 214 HYPERLINK \l "_Toc13040288" Table 3136: Continuous Type Ice Machine ENERGY STAR Efficiencies PAGEREF _Toc13040288 \h 215 HYPERLINK \l "_Toc13040289" Table 3137: Terms, Values, and References for Beverage Machine Controls PAGEREF _Toc13040289 \h 217 HYPERLINK \l "_Toc13040290" Table 3138: Default Savings for Beverage Machine Controls PAGEREF _Toc13040290 \h 217 HYPERLINK \l "_Toc13040291" Table 3139: Terms, Values, and References for Snack Machine Controls PAGEREF _Toc13040291 \h 219 HYPERLINK \l "_Toc13040292" Table 3140: Terms, Values, and References for ENERGY STAR Electric Steam Cookers PAGEREF _Toc13040292 \h 222 HYPERLINK \l "_Toc13040293" Table 3141: Default Values for Electric Steam Cookers by Number of Pans PAGEREF _Toc13040293 \h 223 HYPERLINK \l "_Toc13040294" Table 3142: Combination Oven Eligibility Requirements PAGEREF _Toc13040294 \h 225 HYPERLINK \l "_Toc13040295" Table 3143: Terms, Values, and References for ENERGY STAR Combination Ovens PAGEREF _Toc13040295 \h 226 HYPERLINK \l "_Toc13040296" Table 3144: Default Baseline and Efficient-Case Values for ElecEFF PAGEREF _Toc13040296 \h 227 HYPERLINK \l "_Toc13040297" Table 3145: Default Baseline Values for ElecIDLE PAGEREF _Toc13040297 \h 228 HYPERLINK \l "_Toc13040298" Table 3146: Default Baseline Values for ElecPC PAGEREF _Toc13040298 \h 228 HYPERLINK \l "_Toc13040299" Table 3147: Default Efficient-Case Values for ElecPC PAGEREF _Toc13040299 \h 228 HYPERLINK \l "_Toc13040300" Table 3148: Terms, Values, and References for ENERGY STAR Commercial Electric Convection Ovens PAGEREF _Toc13040300 \h 230 HYPERLINK \l "_Toc13040301" Table 3149: Electric Oven Performance Metrics: Baseline and Efficient Default Values PAGEREF _Toc13040301 \h 231 HYPERLINK \l "_Toc13040302" Table 3150: Default Unit Savings and Demand Reduction for ENERGY STAR Commercial Electric Convection Ovens. PAGEREF _Toc13040302 \h 231 HYPERLINK \l "_Toc13040303" Table 3151: Terms, Values, and References for ENERGY STAR Commercial Fryers PAGEREF _Toc13040303 \h 233 HYPERLINK \l "_Toc13040304" Table 3152: Electric Fryer Performance Metrics: Baseline and Efficient Default Values PAGEREF _Toc13040304 \h 234 HYPERLINK \l "_Toc13040305" Table 3153: Default for ENERGY STAR Commercial Electric Fryers PAGEREF _Toc13040305 \h 234 HYPERLINK \l "_Toc13040306" Table 3154: Terms, Values, and References for ENERGY STAR Commercial Hot Food Holding Cabinets PAGEREF _Toc13040306 \h 236 HYPERLINK \l "_Toc13040307" Table 3155: Hot Food Holding Cabinet Performance Metrics: Default Baseline and Efficient Value Equations PAGEREF _Toc13040307 \h 236 HYPERLINK \l "_Toc13040308" Table 3156: Terms, Values, and References for ENERGY STAR Commercial Dishwashers PAGEREF _Toc13040308 \h 239 HYPERLINK \l "_Toc13040309" Table 3157: Default Inputs for ENERGY STAR Commercial Dishwasher PAGEREF _Toc13040309 \h 240 HYPERLINK \l "_Toc13040310" Table 3158: Default Annual Energy and Peak Demand Savings for ENERGY STAR Commercial Dishwashers PAGEREF _Toc13040310 \h 240 HYPERLINK \l "_Toc13040311" Table 3159: Terms, Values, and References for ENERGY STAR Griddles PAGEREF _Toc13040311 \h 243 HYPERLINK \l "_Toc13040312" Table 3160: Default Savings for ENERGY STAR Griddles PAGEREF _Toc13040312 \h 244 HYPERLINK \l "_Toc13040313" Table 3161: Terms, Values, and References for Wall and Ceiling Insulation PAGEREF _Toc13040313 \h 246 HYPERLINK \l "_Toc13040314" Table 3162: Initial R-Values PAGEREF _Toc13040314 \h 247 HYPERLINK \l "_Toc13040315" Table 3163: Terms, Values, and References for ENERGY STAR Office Equipment PAGEREF _Toc13040315 \h 250 HYPERLINK \l "_Toc13040316" Table 3164: ENERGY STAR Office Equipment Measure Life PAGEREF _Toc13040316 \h 251 HYPERLINK \l "_Toc13040317" Table 3165: ENERGY STAR Office Equipment Energy and Demand Savings Values PAGEREF _Toc13040317 \h 252 HYPERLINK \l "_Toc13040318" Table 3166: Terms, Values, and References for ENERGY STAR Office Equipment PAGEREF _Toc13040318 \h 255 HYPERLINK \l "_Toc13040319" Table 3167: Network Power Controls, Per Unit Summary Table PAGEREF _Toc13040319 \h 255 HYPERLINK \l "_Toc13040320" Table 3168: Terms, Values, and References for Smart Strip Plug Outlets PAGEREF _Toc13040320 \h 258 HYPERLINK \l "_Toc13040321" Table 3169: Impact Factors for APS Strip Types PAGEREF _Toc13040321 \h 258 HYPERLINK \l "_Toc13040322" Table 3170: Default Savings for?APS?Strip Types PAGEREF _Toc13040322 \h 258 HYPERLINK \l "_Toc13040323" Table 3171: Terms, Values, and References for ENERGY STAR Servers PAGEREF _Toc13040323 \h 261 HYPERLINK \l "_Toc13040324" Table 3172: ENERGY STAR Server Utilization Default Assumptions PAGEREF _Toc13040324 \h 261 HYPERLINK \l "_Toc13040325" Table 3173: ENERGY STAR Server Ratio of Idle Power to Full Load Power Factors PAGEREF _Toc13040325 \h 261 HYPERLINK \l "_Toc13040326" Table 3174: Terms, Values, and References for Server Virtualization PAGEREF _Toc13040326 \h 265 HYPERLINK \l "_Toc13040327" Table 3175: Server Utilization Default Assumptions PAGEREF _Toc13040327 \h 265 HYPERLINK \l "_Toc13040328" Table 3176: ENERGY STAR Server Ratio of Idle Power to Full Load Power Factors PAGEREF _Toc13040328 \h 266 HYPERLINK \l "_Toc13040329" Table 3177: Terms, Values, and References for Cycling Refrigerated Thermal Mass Dryers PAGEREF _Toc13040329 \h 269 HYPERLINK \l "_Toc13040330" Table 3178: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040330 \h 269 HYPERLINK \l "_Toc13040331" Table 3179: Default Savings per HP for Cycling Refrigerated Thermal Mass Dryers PAGEREF _Toc13040331 \h 270 HYPERLINK \l "_Toc13040332" Table 3180: Terms, Values, and References for Air-entraining Air Nozzles PAGEREF _Toc13040332 \h 272 HYPERLINK \l "_Toc13040333" Table 3181: Baseline Nozzle Flow PAGEREF _Toc13040333 \h 272 HYPERLINK \l "_Toc13040334" Table 3182: Air Entraining Nozzle Flow PAGEREF _Toc13040334 \h 272 HYPERLINK \l "_Toc13040335" Table 3183: Average Compressor kW / CFM (COMP) PAGEREF _Toc13040335 \h 273 HYPERLINK \l "_Toc13040336" Table 3184: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040336 \h 273 HYPERLINK \l "_Toc13040337" Table 3185: Terms, Values, and References for No-loss Condensate Drains PAGEREF _Toc13040337 \h 276 HYPERLINK \l "_Toc13040338" Table 3186: Average Air Loss Rates (ALR) PAGEREF _Toc13040338 \h 277 HYPERLINK \l "_Toc13040339" Table 3187: Average Compressor kW/CFM (COMP) PAGEREF _Toc13040339 \h 277 HYPERLINK \l "_Toc13040340" Table 3188: Adjustment Factor (AF) PAGEREF _Toc13040340 \h 278 HYPERLINK \l "_Toc13040341" Table 3189: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040341 \h 278 HYPERLINK \l "_Toc13040342" Table 3190: Terms, Values, and References for Air Tanks for Load/No Load Compressors PAGEREF _Toc13040342 \h 281 HYPERLINK \l "_Toc13040343" Table 3191: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040343 \h 281 HYPERLINK \l "_Toc13040344" Table 3192: Default Savings per HP for Air Tanks for Load/No Load Compressors PAGEREF _Toc13040344 \h 282 HYPERLINK \l "_Toc13040345" Table 3193: Terms, Values, and References for Variable-Speed Drive Air Compressors PAGEREF _Toc13040345 \h 284 HYPERLINK \l "_Toc13040346" Table 3194: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040346 \h 284 HYPERLINK \l "_Toc13040347" Table 3195: Default Savings per HP for Variable-Speed Drive Air Compressors PAGEREF _Toc13040347 \h 285 HYPERLINK \l "_Toc13040348" Table 3196: Terms, Values, and References for Compressed Air Controllers PAGEREF _Toc13040348 \h 287 HYPERLINK \l "_Toc13040349" Table 3197: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040349 \h 287 HYPERLINK \l "_Toc13040350" Table 3198: Default Savings per HP for Compressed Air Controllers PAGEREF _Toc13040350 \h 288 HYPERLINK \l "_Toc13040351" Table 3199: Terms, Values, and References for Compressed Air Low Pressure Drop Filters PAGEREF _Toc13040351 \h 290 HYPERLINK \l "_Toc13040352" Table 3200: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040352 \h 290 HYPERLINK \l "_Toc13040353" Table 3201: Default Savings per HP for Compressed Air Low Pressure Drop Filters PAGEREF _Toc13040353 \h 291 HYPERLINK \l "_Toc13040354" Table 3202: Terms, Values, and References for Compressed Air Mist Eliminators PAGEREF _Toc13040354 \h 293 HYPERLINK \l "_Toc13040355" Table 3203: Default Hours and Coincidence Factors by Shift Type PAGEREF _Toc13040355 \h 294 HYPERLINK \l "_Toc13040356" Table 3204: Default Savings per HP for Compressed Air Mist Eliminators PAGEREF _Toc13040356 \h 294 HYPERLINK \l "_Toc13040357" Table 3205: Terms, Values, and References for High Efficiency Transformers PAGEREF _Toc13040357 \h 297 HYPERLINK \l "_Toc13040358" Table 3206: Baseline Efficiencies for Low-Voltage Dry-Type Distribution Transformers PAGEREF _Toc13040358 \h 297 HYPERLINK \l "_Toc13040359" Table 3207: Terms, Values, and References for Engine Block Heater Timer PAGEREF _Toc13040359 \h 299 HYPERLINK \l "_Toc13040360" Table 3208: Default Savings for Engine Block Heater Timer PAGEREF _Toc13040360 \h 300 HYPERLINK \l "_Toc13040361" Table 3209: Terms, Values, and References for High Frequency Battery Chargers PAGEREF _Toc13040361 \h 302 HYPERLINK \l "_Toc13040362" Table 3210: Default Values for Number of Charges Per Year PAGEREF _Toc13040362 \h 303 HYPERLINK \l "_Toc13040363" Table 3211: Default Savings for High Frequency Battery Charging PAGEREF _Toc13040363 \h 303 HYPERLINK \l "_Toc13040364" Table 3212: Terms, Values, and References for C&I Load Curtailment PAGEREF _Toc13040364 \h 307 HYPERLINK \l "_Toc13040365" Table 41: Terms, Values, and References for Automatic Milker Takeoffs PAGEREF _Toc13040365 \h 308 HYPERLINK \l "_Toc13040366" Table 42: Terms, Values, and References for Dairy Scroll Compressors PAGEREF _Toc13040366 \h 311 HYPERLINK \l "_Toc13040367" Table 43: Terms, Values, and References for Ventilation Fans PAGEREF _Toc13040367 \h 314 HYPERLINK \l "_Toc13040368" Table 44: Default values for standard and high efficiency ventilation fans for dairy and swine facilities PAGEREF _Toc13040368 \h 314 HYPERLINK \l "_Toc13040369" Table 45: Default Hours for Ventilation Fans by Facility Type by Location (No Thermostat) PAGEREF _Toc13040369 \h 315 HYPERLINK \l "_Toc13040370" Table 46: Default Hours for Ventilation Fans by Facility Type by Location (With Thermostat) PAGEREF _Toc13040370 \h 315 HYPERLINK \l "_Toc13040371" Table 47: Terms, Values, and References for Heat Reclaimers PAGEREF _Toc13040371 \h 318 HYPERLINK \l "_Toc13040372" Table 48: Terms, Values, and References for HVLS Fans PAGEREF _Toc13040372 \h 320 HYPERLINK \l "_Toc13040373" Table 49: Default Values for Conventional and HVLS Fan Wattages PAGEREF _Toc13040373 \h 321 HYPERLINK \l "_Toc13040374" Table 410: Default Hours by Location for Dairy/Poultry/Swine Applications PAGEREF _Toc13040374 \h 321 HYPERLINK \l "_Toc13040375" Table 411: Terms, Values, and References for Livestock Waterers PAGEREF _Toc13040375 \h 322 HYPERLINK \l "_Toc13040376" Table 412: Terms, Values, and References for VSD Controller on Dairy Vacuum Pump PAGEREF _Toc13040376 \h 326 HYPERLINK \l "_Toc13040377" Table 413: Terms, Values, and References for Low Pressure Irrigation Systems PAGEREF _Toc13040377 \h 329 HYPERLINK \l "_Toc535434493" Table 31: EISA 2007 Standards for General Service Fluorescent Bulbs PAGEREF _Toc535434493 \h 11 HYPERLINK \l "_Toc535434494" Table 32: Assumed T-8 Baseline Fixtures for Removed T-12 Fixtures PAGEREF _Toc535434494 \h 11 HYPERLINK \l "_Toc535434495" Table 33: Variables for Retrofit Lighting PAGEREF _Toc535434495 \h 12 HYPERLINK \l "_Toc535434496" Table 34: Savings Control Factors Assumptions PAGEREF _Toc535434496 \h 13 HYPERLINK \l "_Toc535434497" Table 35: Lighting HOU and CF by Building Type for Screw-Based Bulbs PAGEREF _Toc535434497 \h 14 HYPERLINK \l "_Toc535434498" Table 36: Lighting HOU and CF by Building Type for Other General Service Lighting PAGEREF _Toc535434498 \h 14 HYPERLINK \l "_Toc535434499" Table 37: Street lighting HOU by EDC PAGEREF _Toc535434499 \h 15 HYPERLINK \l "_Toc535434500" Table 38: Interactive Factors for All Bulb Types PAGEREF _Toc535434500 \h 15 HYPERLINK \l "_Toc535434501" Table 39: Interactive Factors for Comfort Cooled Spaces for All Building Types PAGEREF _Toc535434501 \h 16 HYPERLINK \l "_Toc535434502" Table 310: Variables for New Construction Lighting PAGEREF _Toc535434502 \h 21 HYPERLINK \l "_Toc535434503" Table 311: Lighting Power Densities from ASHRAE 90.1-2007 Building Area Method PAGEREF _Toc535434503 \h 22 HYPERLINK \l "_Toc535434504" Table 312: Lighting Power Densities from ASHRAE 90.1-2007 Space-by-Space Method PAGEREF _Toc535434504 \h 23 HYPERLINK \l "_Toc535434505" Table 313: Baseline Exterior Lighting Power Densities PAGEREF _Toc535434505 \h 26 HYPERLINK \l "_Toc535434506" Table 314: Default Baseline Savings Control Factors Assumptions for New Construction Only PAGEREF _Toc535434506 \h 28 HYPERLINK \l "_Toc535434507" Table 315: Lighting Controls Assumptions PAGEREF _Toc535434507 \h 33 HYPERLINK \l "_Toc535434508" Table 316: Assumptions for LED Traffic Signals PAGEREF _Toc535434508 \h 35 HYPERLINK \l "_Toc535434509" Table 317: Default Values for Traffic Signal and Pedestrian Signage Upgrades PAGEREF _Toc535434509 \h 36 HYPERLINK \l "_Toc535434510" Table 318: LED Exit Signs Calculation Assumptions PAGEREF _Toc535434510 \h 38 HYPERLINK \l "_Toc535434511" Table 319: LED Exit Signs Calculation Assumptions PAGEREF _Toc535434511 \h 39 HYPERLINK \l "_Toc535434512" Table 320: LED Channel Signage Calculation Assumptions PAGEREF _Toc535434512 \h 42 HYPERLINK \l "_Toc535434513" Table 321: Power demand of baseline (neon and argon-mercury) and energy-efficient (LED) signs PAGEREF _Toc535434513 \h 43 HYPERLINK \l "_Toc535434514" Table 322: LED: Refrigeration Case Lighting – Values and References PAGEREF _Toc535434514 \h 45 HYPERLINK \l "_Toc535434515" Table 323: Variables for HVAC Systems PAGEREF _Toc535434515 \h 48 HYPERLINK \l "_Toc535434516" Table 324: HVAC Baseline Efficiencies PAGEREF _Toc535434516 \h 51 HYPERLINK \l "_Toc535434517" Table 325: Air Conditioning EFLHs for Pennsylvania Cities PAGEREF _Toc535434517 \h 53 HYPERLINK \l "_Toc535434518" Table 326: Air Conditioning Demand CFs for Pennsylvania Cities PAGEREF _Toc535434518 \h 54 HYPERLINK \l "_Toc535434519" Table 327: Heat Pump EFLHs for Pennsylvania Cities PAGEREF _Toc535434519 \h 55 HYPERLINK \l "_Toc535434520" Table 328: Electric Chiller Variables PAGEREF _Toc535434520 \h 58 HYPERLINK \l "_Toc535434521" Table 329: Electric Chiller Baseline Efficiencies (IECC 2009) PAGEREF _Toc535434521 \h 59 HYPERLINK \l "_Toc535434522" Table 330: Chiller EFLHs for Pennsylvania Cities PAGEREF _Toc535434522 \h 60 HYPERLINK \l "_Toc535434523" Table 331: Chiller Demand CFs for Pennsylvania Cities PAGEREF _Toc535434523 \h 61 HYPERLINK \l "_Toc535434524" Table 332: Water Source or Geothermal Heat Pump Baseline Assumptions PAGEREF _Toc535434524 \h 63 HYPERLINK \l "_Toc535434525" Table 333: Geothermal Heat Pump– Values and Assumptions PAGEREF _Toc535434525 \h 66 HYPERLINK \l "_Toc535434526" Table 334: Federal Baseline Motor Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc535434526 \h 70 HYPERLINK \l "_Toc535434527" Table 335: Ground/Water Loop Pump and Circulating Pump Efficiency PAGEREF _Toc535434527 \h 71 HYPERLINK \l "_Toc535434528" Table 336: Default Baseline Equipment Efficiencies PAGEREF _Toc535434528 \h 71 HYPERLINK \l "_Toc535434529" Table 337: DHP – Values and References PAGEREF _Toc535434529 \h 75 HYPERLINK \l "_Toc535434530" Table 338: Act 129 Sunset Dates for ENERGY STAR Furnaces PAGEREF _Toc535434530 \h 78 HYPERLINK \l "_Toc535434531" Table 339: ENERGY STAR Requirements for Furnaces and Boilers PAGEREF _Toc535434531 \h 79 HYPERLINK \l "_Toc535434532" Table 340: Variables for HVAC Systems PAGEREF _Toc535434532 \h 80 HYPERLINK \l "_Toc535434533" Table 341: HVAC Baseline Efficiency Values PAGEREF _Toc535434533 \h 81 HYPERLINK \l "_Toc535434534" Table 342: Refrigerant Charge Correction Calculations Assumptions PAGEREF _Toc535434534 \h 85 HYPERLINK \l "_Toc535434535" Table 343: Refrigerant charge correction COP degradation factor (RCF) for various relative charge adjustments for both TXV metered and non-TXV units. PAGEREF _Toc535434535 \h 88 HYPERLINK \l "_Toc535434536" Table 344: Variables for HVAC Systems PAGEREF _Toc535434536 \h 91 HYPERLINK \l "_Toc535434537" Table 345: RAC Federal Minimum Efficiency and ENERGY STAR Version 4.0 Standards PAGEREF _Toc535434537 \h 92 HYPERLINK \l "_Toc535434538" Table 346: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.0 Standards PAGEREF _Toc535434538 \h 92 HYPERLINK \l "_Toc535434539" Table 347: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.0 Standards PAGEREF _Toc535434539 \h 93 HYPERLINK \l "_Toc535434540" Table 348: Guest Room Occupancy Sensor – Values and References PAGEREF _Toc535434540 \h 95 HYPERLINK \l "_Toc535434541" Table 349: Energy Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc535434541 \h 95 HYPERLINK \l "_Toc535434542" Table 350: Energy Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc535434542 \h 95 HYPERLINK \l "_Toc535434543" Table 351: Peak Demand Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc535434543 \h 96 HYPERLINK \l "_Toc535434544" Table 352: Peak Demand Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc535434544 \h 96 HYPERLINK \l "_Toc535434545" Table 353: Economizer – Values and References PAGEREF _Toc535434545 \h 99 HYPERLINK \l "_Toc535434546" Table 354: FCHr for PA Climate Zones and Various Operating Conditions PAGEREF _Toc535434546 \h 99 HYPERLINK \l "_Toc535434547" Table 355: Default HVAC Efficiencies for Non-Residential Buildings PAGEREF _Toc535434547 \h 99 HYPERLINK \l "_Toc535434548" Table 356: Building Mechanical System Variables for Premium Efficiency Motor Calculations PAGEREF _Toc535434548 \h 105 HYPERLINK \l "_Toc535434549" Table 357: Baseline Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc535434549 \h 105 HYPERLINK \l "_Toc535434550" Table 358: Baseline Motor Efficiencies for NEMA Design C Motors PAGEREF _Toc535434550 \h 107 HYPERLINK \l "_Toc535434551" Table 359: Default RHRS and CFs for Supply Fan Motors in Commercial Buildings PAGEREF _Toc535434551 \h 108 HYPERLINK \l "_Toc535434552" Table 360: Default RHRS and CFs for Chilled Water Pump (CHWP) Motors in Commercial Buildings PAGEREF _Toc535434552 \h 112 HYPERLINK \l "_Toc535434553" Table 361: Default RHRS and CFs for Cooling Tower Fan (CTF) Motors in Commercial Buildings PAGEREF _Toc535434553 \h 114 HYPERLINK \l "_Toc535434554" Table 362: Default RHRS and CFs for Heating Hot Water Pump (HHWP) Motors in Commercial Buildings PAGEREF _Toc535434554 \h 116 HYPERLINK \l "_Toc535434555" Table 363: Default RHRS and CFs for Condenser Water Pump Motors in Commercial Buildings PAGEREF _Toc535434555 \h 118 HYPERLINK \l "_Toc535434556" Table 364: Variables for VFD Calculations PAGEREF _Toc535434556 \h 120 HYPERLINK \l "_Toc535434557" Table 365: ESF and DSF for Typical Commercial VFD Installations PAGEREF _Toc535434557 \h 121 HYPERLINK \l "_Toc535434558" Table 366: ECM Circulating Fan – Values and References PAGEREF _Toc535434558 \h 125 HYPERLINK \l "_Toc535434559" Table 367: Default Motor Wattage (WATTSbase and WATTSee) for Circulating Fan PAGEREF _Toc535434559 \h 128 HYPERLINK \l "_Toc535434560" Table 368: VSD on Kitchen Exhaust Fan – Variables and References PAGEREF _Toc535434560 \h 130 HYPERLINK \l "_Toc535434561" Table 369: Typical water heating loads PAGEREF _Toc535434561 \h 132 HYPERLINK \l "_Toc535434562" Table 370: COP Adjustment Factors PAGEREF _Toc535434562 \h 134 HYPERLINK \l "_Toc535434563" Table 371: Heat Pump Water Heater Calculation Assumptions PAGEREF _Toc535434563 \h 136 HYPERLINK \l "_Toc535434564" Table 372: Minimum Baseline Energy Factor Based on Tank Size PAGEREF _Toc535434564 \h 137 HYPERLINK \l "_Toc535434565" Table 373: Energy Savings Algorithms PAGEREF _Toc535434565 \h 137 HYPERLINK \l "_Toc535434566" Table 374: Low Flow Pre-Rinse Sprayer Calculations Assumptions PAGEREF _Toc535434566 \h 143 HYPERLINK \l "_Toc535434567" Table 375: Low Flow Pre-Rinse Sprayer Calculations Assumptions PAGEREF _Toc535434567 \h 147 HYPERLINK \l "_Toc535434568" Table 376: Low Flow Pre-Rinse Sprayer Default Savings PAGEREF _Toc535434568 \h 148 HYPERLINK \l "_Toc535434569" Table 377: Commercial Water Heater Fuel Switch Calculation Assumptions PAGEREF _Toc535434569 \h 153 HYPERLINK \l "_Toc535434570" Table 378: Minimum Baseline Energy Factor Based on Tank Size PAGEREF _Toc535434570 \h 154 HYPERLINK \l "_Toc535434571" Table 379: Water Heating Fuel Switch Energy Savings Algorithms PAGEREF _Toc535434571 \h 154 HYPERLINK \l "_Toc535434572" Table 380: COP Adjustment Factors PAGEREF _Toc535434572 \h 159 HYPERLINK \l "_Toc535434573" Table 381: Heat Pump Water Heater Fuel Switch Calculation Assumptions PAGEREF _Toc535434573 \h 161 HYPERLINK \l "_Toc535434574" Table 382: Minimum Baseline Energy Factors Based on Tank Size PAGEREF _Toc535434574 \h 162 HYPERLINK \l "_Toc535434575" Table 383: Energy Savings Algorithms PAGEREF _Toc535434575 \h 162 HYPERLINK \l "_Toc535434576" Table 384: Refrigeration Cases - References PAGEREF _Toc535434576 \h 166 HYPERLINK \l "_Toc535434577" Table 385: Refrigeration & Freezer Case Efficiencies (PY8) PAGEREF _Toc535434577 \h 166 HYPERLINK \l "_Toc535434578" Table 386: Refrigeration Case Savings (PY8) PAGEREF _Toc535434578 \h 167 HYPERLINK \l "_Toc535434579" Table 387: Freezer Case Savings (PY8) PAGEREF _Toc535434579 \h 167 HYPERLINK \l "_Toc535434580" Table 3-88: Refrigerator and Freezer Case Baseline Efficiencies (PY9-PY12) PAGEREF _Toc535434580 \h 167 HYPERLINK \l "_Toc535434581" Table 389: Variables for High-Efficiency Evaporator Fan Motor PAGEREF _Toc535434581 \h 170 HYPERLINK \l "_Toc535434582" Table 390: Variables for HE Evaporator Fan Motor PAGEREF _Toc535434582 \h 171 HYPERLINK \l "_Toc535434583" Table 391: PSC to ECM Deemed Savings PAGEREF _Toc535434583 \h 171 HYPERLINK \l "_Toc535434584" Table 392: Shaded Pole to ECM Deemed Savings PAGEREF _Toc535434584 \h 172 HYPERLINK \l "_Toc535434585" Table 393: Variables for High-Efficiency Evaporator Fan Motor PAGEREF _Toc535434585 \h 174 HYPERLINK \l "_Toc535434586" Table 394: Variables for HE Evaporator Fan Motor PAGEREF _Toc535434586 \h 175 HYPERLINK \l "_Toc535434587" Table 395: PSC to ECM Deemed Savings PAGEREF _Toc535434587 \h 175 HYPERLINK \l "_Toc535434588" Table 396: Shaded Pole to ECM Deemed Savings PAGEREF _Toc535434588 \h 176 HYPERLINK \l "_Toc535434589" Table 397: Evaporator Fan Controller Calculations Assumptions PAGEREF _Toc535434589 \h 179 HYPERLINK \l "_Toc535434590" Table 398: Floating Head Pressure Controls – Values and References PAGEREF _Toc535434590 \h 182 HYPERLINK \l "_Toc535434591" Table 399: Annual Savings kWh/HP by Location PAGEREF _Toc535434591 \h 183 HYPERLINK \l "_Toc535434592" Table 3100: Default Condenser Type Annual Savings kWh/HP by Location PAGEREF _Toc535434592 \h 183 HYPERLINK \l "_Toc535434593" Table 3101 Anti-Sweat Heater Controls – Values and References PAGEREF _Toc535434593 \h 186 HYPERLINK \l "_Toc535434594" Table 3102: Recommended Fully Deemed Impact Estimates PAGEREF _Toc535434594 \h 187 HYPERLINK \l "_Toc535434595" Table 3103: Evaporator Coil Defrost Control – Values and References PAGEREF _Toc535434595 \h 190 HYPERLINK \l "_Toc535434596" Table 3104: Savings Factor for Reduced Cooling Load PAGEREF _Toc535434596 \h 190 HYPERLINK \l "_Toc535434597" Table 3105: VSD Compressor – Values and References PAGEREF _Toc535434597 \h 193 HYPERLINK \l "_Toc535434598" Table 3106: Strip Curtain Calculation Assumptions PAGEREF _Toc535434598 \h 196 HYPERLINK \l "_Toc535434599" Table 3107: Default Energy Savings and Demand Reductions for Strip Curtains PAGEREF _Toc535434599 \h 197 HYPERLINK \l "_Toc535434600" Table 3108: Strip Curtain Calculation Assumptions for Supermarkets PAGEREF _Toc535434600 \h 198 HYPERLINK \l "_Toc535434601" Table 3109: Strip Curtain Calculation Assumptions for Convenience Stores PAGEREF _Toc535434601 \h 200 HYPERLINK \l "_Toc535434602" Table 3110: Strip Curtain Calculation Assumptions for Restaurants PAGEREF _Toc535434602 \h 201 HYPERLINK \l "_Toc535434603" Table 3111: Strip Curtain Calculation Assumptions for Refrigerated Warehouses PAGEREF _Toc535434603 \h 202 HYPERLINK \l "_Toc535434604" Table 3112: Night Covers Calculations Assumptions PAGEREF _Toc535434604 \h 205 HYPERLINK \l "_Toc535434605" Table 3113: Savings Factors PAGEREF _Toc535434605 \h 205 HYPERLINK \l "_Toc535434606" Table 3114: Auto Closers Calculation Assumptions PAGEREF _Toc535434606 \h 208 HYPERLINK \l "_Toc535434607" Table 3115: Refrigeration Auto Closers Deemed Savings PAGEREF _Toc535434607 \h 208 HYPERLINK \l "_Toc535434608" Table 3116: Door Gasket Assumptions PAGEREF _Toc535434608 \h 211 HYPERLINK \l "_Toc535434609" Table 3117: Door Gasket Savings Per Linear Foot for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc535434609 \h 211 HYPERLINK \l "_Toc535434610" Table 3118: Special Doors with Low or No Anti-Sweat Heat for Low Temp Case Calculations Assumptions PAGEREF _Toc535434610 \h 213 HYPERLINK \l "_Toc535434611" Table 3119: Insulate Bare Refrigeration Suction Pipes Calculations Assumptions PAGEREF _Toc535434611 \h 216 HYPERLINK \l "_Toc535434612" Table 3120: Insulate Bare Refrigeration Suction Pipes Savings per Linear Foot for Walk-in Coolers and Freezers of Restaurants and Grocery Stores PAGEREF _Toc535434612 \h 216 HYPERLINK \l "_Toc535434613" Table 3121: Assumptions for Adding Doors to Refrigerated Display Cases PAGEREF _Toc535434613 \h 218 HYPERLINK \l "_Toc535434614" Table 3122: Assumptions for Adding Doors to Refrigerated Display Cases PAGEREF _Toc535434614 \h 220 HYPERLINK \l "_Toc535434615" Table 3123: Commercial Clothes Washer Calculation Assumptions PAGEREF _Toc535434615 \h 224 HYPERLINK \l "_Toc535434616" Table 3124: Default Savings for Top Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings (PY8-PY9) PAGEREF _Toc535434616 \h 226 HYPERLINK \l "_Toc535434617" Table 3125: Default Savings for Front Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings (PY8-PY9) PAGEREF _Toc535434617 \h 226 HYPERLINK \l "_Toc535434618" Table 3126: Default Savings for Top Loading ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) PAGEREF _Toc535434618 \h 227 HYPERLINK \l "_Toc535434619" Table 3127: Default Savings Front Loading ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) PAGEREF _Toc535434619 \h 227 HYPERLINK \l "_Toc535434620" Table 3128: Future Federal Standards for Clothes Washers (PY10-PY12) PAGEREF _Toc535434620 \h 228 HYPERLINK \l "_Toc535434621" Table 3129: Ice Machine Reference Values for Algorithm Components PAGEREF _Toc535434621 \h 230 HYPERLINK \l "_Toc535434622" Table 3130: Batch-Type Ice Machine Baseline Efficiencies (PY8-PY9) PAGEREF _Toc535434622 \h 231 HYPERLINK \l "_Toc535434623" Table 3131: Batch-Type Ice Machine ENERGY STAR Efficiencies (PY8-PY9) PAGEREF _Toc535434623 \h 231 HYPERLINK \l "_Toc535434624" Table 3132: Batch-Type Ice Machine Baseline Efficiencies (PY10-PY12) PAGEREF _Toc535434624 \h 232 HYPERLINK \l "_Toc535434625" Table 3133: Continuous Type Ice Machine Baseline Efficiencies (PY10-PY12) PAGEREF _Toc535434625 \h 232 HYPERLINK \l "_Toc535434626" Table 3134: Batch-Type Ice Machine ENERGY STAR Efficiencies (PY10-PY12) PAGEREF _Toc535434626 \h 233 HYPERLINK \l "_Toc535434627" Table 3135: Continuous Type Ice Machine ENERGY STAR Efficiencies (PY10-PY12) PAGEREF _Toc535434627 \h 233 HYPERLINK \l "_Toc535434628" Table 3136: Beverage Machine Control Calculation Assumptions PAGEREF _Toc535434628 \h 235 HYPERLINK \l "_Toc535434629" Table 3137: Beverage Machine Controls Energy Savings PAGEREF _Toc535434629 \h 236 HYPERLINK \l "_Toc535434630" Table 3138: Snack Machine Controls – Values and References PAGEREF _Toc535434630 \h 237 HYPERLINK \l "_Toc535434631" Table 3139: Steam Cooker - Values and References PAGEREF _Toc535434631 \h 241 HYPERLINK \l "_Toc535434632" Table 3140: Default Values for Electric Steam Cookers by Number of Pans PAGEREF _Toc535434632 \h 242 HYPERLINK \l "_Toc535434633" Table 3141: ENERGY STAR Refrigerated Beverage Vending Machine – Values and Resources PAGEREF _Toc535434633 \h 245 HYPERLINK \l "_Toc535434634" Table 3142: Default Beverage Vending Machine Energy Savings PAGEREF _Toc535434634 \h 245 HYPERLINK \l "_Toc535434635" Table 3143: Non-Residential Insulation – Values and References PAGEREF _Toc535434635 \h 248 HYPERLINK \l "_Toc535434636" Table 3144: Ceiling R-Values by Building Type PAGEREF _Toc535434636 \h 250 HYPERLINK \l "_Toc535434637" Table 3145: Wall R-Values by Building Type PAGEREF _Toc535434637 \h 250 HYPERLINK \l "_Toc535434638" Table 3146: ENERGY STAR Office Equipment - References PAGEREF _Toc535434638 \h 254 HYPERLINK \l "_Toc535434639" Table 3147: ENERGY STAR Office Equipment Measure Life PAGEREF _Toc535434639 \h 255 HYPERLINK \l "_Toc535434640" Table 3148: ENERGY STAR Office Equipment Energy and Demand Savings Values PAGEREF _Toc535434640 \h 255 HYPERLINK \l "_Toc535434641" Table 3149: Network Power Controls, Per Unit Summary Table PAGEREF _Toc535434641 \h 258 HYPERLINK \l "_Toc535434642" Table 3150: Smart Strip Calculation Assumptions PAGEREF _Toc535434642 \h 261 HYPERLINK \l "_Toc535434643" Table 3151: Cycling Refrigerated Thermal Mass Dryer – Values and References PAGEREF _Toc535434643 \h 263 HYPERLINK \l "_Toc535434644" Table 3152: Annual Hours of Compressor Operation PAGEREF _Toc535434644 \h 263 HYPERLINK \l "_Toc535434645" Table 3153: Coincidence Factors PAGEREF _Toc535434645 \h 263 HYPERLINK \l "_Toc535434646" Table 3154: Air-entraining Air Nozzle – Values and References PAGEREF _Toc535434646 \h 266 HYPERLINK \l "_Toc535434647" Table 3155: Baseline Nozzle Mass Flow PAGEREF _Toc535434647 \h 266 HYPERLINK \l "_Toc535434648" Table 3156: Air Entraining Nozzle Mass Flow PAGEREF _Toc535434648 \h 266 HYPERLINK \l "_Toc535434649" Table 3157: Average Compressor kW / CFM (COMP) PAGEREF _Toc535434649 \h 266 HYPERLINK \l "_Toc535434650" Table 3158: Annual Hours of Compressor Operation PAGEREF _Toc535434650 \h 267 HYPERLINK \l "_Toc535434651" Table 3159: Coincidence Factor PAGEREF _Toc535434651 \h 267 HYPERLINK \l "_Toc535434652" Table 3160: No-loss Condensate Drains – Values and References PAGEREF _Toc535434652 \h 270 HYPERLINK \l "_Toc535434653" Table 3161: Average Air Loss Rates (ALR) PAGEREF _Toc535434653 \h 271 HYPERLINK \l "_Toc535434654" Table 3162: Average Compressor kW/CFM (COMP) PAGEREF _Toc535434654 \h 271 HYPERLINK \l "_Toc535434655" Table 3163: Adjustment Factor (AF) PAGEREF _Toc535434655 \h 271 HYPERLINK \l "_Toc535434656" Table 3164: Annual Hours of Compressor Operation PAGEREF _Toc535434656 \h 272 HYPERLINK \l "_Toc535434657" Table 3165: Coincidence Factor PAGEREF _Toc535434657 \h 272 HYPERLINK \l "_Toc535434658" Table 13166: Assumptions for Air Tanks for Load/No Load Compressors PAGEREF _Toc535434658 \h 275 HYPERLINK \l "_Toc535434659" Table 3167: Annual Hours of Compressor Operation, HOURS PAGEREF _Toc535434659 \h 275 HYPERLINK \l "_Toc535434660" Table 3168: ENERGY STAR Server Measure Assumptions PAGEREF _Toc535434660 \h 278 HYPERLINK \l "_Toc535434661" Table 3169: ENERGY STAR Server Utilization Default Assumptions PAGEREF _Toc535434661 \h 278 HYPERLINK \l "_Toc535434662" Table 3170: ENERGY STAR Server Ratio of Idle Power to Full Load Power Factors PAGEREF _Toc535434662 \h 278 HYPERLINK \l "_Toc535434663" Table 41: Variables for Automatic Milker Takeoffs PAGEREF _Toc535434663 \h 283 HYPERLINK \l "_Toc535434664" Table 42: Variables for Dairy Scroll Compressors PAGEREF _Toc535434664 \h 286 HYPERLINK \l "_Toc535434665" Table 43: Variables for Ventilation Fans PAGEREF _Toc535434665 \h 289 HYPERLINK \l "_Toc535434666" Table 44: Default values for standard and high efficiency ventilation fans for dairy and swine facilities PAGEREF _Toc535434666 \h 290 HYPERLINK \l "_Toc535434667" Table 45. Default Hours for Ventilation Fans by Facility Type by Location (No Thermostat) PAGEREF _Toc535434667 \h 290 HYPERLINK \l "_Toc535434668" Table 46. Default Hours Reduced by Thermostats by Facility Type and Location PAGEREF _Toc535434668 \h 290 HYPERLINK \l "_Toc535434669" Table 47: Variables for Heat Reclaimers PAGEREF _Toc535434669 \h 293 HYPERLINK \l "_Toc535434670" Table 48: Variables for HVLS Fans PAGEREF _Toc535434670 \h 296 HYPERLINK \l "_Toc535434671" Table 49: Default Values for Conventional and HVLS Fan Wattages PAGEREF _Toc535434671 \h 296 HYPERLINK \l "_Toc535434672" Table 410. Default Hours by Location for Dairy/Poultry/Swine Applications PAGEREF _Toc535434672 \h 297 HYPERLINK \l "_Toc535434673" Table 411: Variables for Livestock Waterers PAGEREF _Toc535434673 \h 299 HYPERLINK \l "_Toc535434674" Table 412: Variables for VSD Controller on Dairy Vacuum Pump PAGEREF _Toc535434674 \h 303 HYPERLINK \l "_Toc535434675" Table 413: Variables for Low Pressure Irrigation Systems PAGEREF _Toc535434675 \h 306This Page Intentionally Left BlankCommercial and Industrial MeasuresThe following section of the TRM contains savings protocols for commercial and industrial measures.LightingLighting ImprovementsMeasure NameLighting Fixture ImprovementsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitLighting EquipmentUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure LifeNew Linear Fluorescent Fixture: 15 yearsLamp Only: LED, Screw-in: 15 yearsLamp Only: Induction Lamps: 6 yearsLamp Only: Metal Halide Lamps: 6 yearsLamp Only: High Pressure Sodium Lamps: 12 yearsLamp Only: Mercury Vapor Lamps: 6 yearsLamp Only: T8 Lamps: 10 yearsLamp Only: LED, Linear, Type A: 7 years Source 1Lamp Only: LED, Linear, Type B: 15 yearsLamp Only: LED, Linear, Type C: 15 yearsPermanent Fixture Removal: 13 yearsPermanent Lamp Removal: 11 years Source 2VariableMeasure VintageEarly Replacement or Permanent RemovalEligibility Lighting improvements include fixture or lamp and ballast replacement and/or permanent removal in existing commercial and industrial customers’ facilities. Installed and removed lamps and fixtures are broken down into two distinct types based on common load shapes: Screw-based and Other General Service. Screw-based bulbs consist of self-ballasted incandescent, halogen, CFL, and LED bulbs; Other General Service Lighting consists of all other fixture and lamp types, including but not limited to linear fluorescents, metal halides, high intensity discharge lamps, and hardwired/pin-based CFLs and LEDs. To be eligible for savings from permanent fixture and lamp removal, customer must have permanently removed unneeded, functional light fixtures, lamps, lamp holders, and/or ballasts in accordance with local regulations. The removal of non-operational equipment is not eligible for the defined savings.Permanent lamp removal includes the permanent removal of existing 8’, 4’, 3’ and 2’ T8 fluorescent lamps. The savings are defined on a per-removed-lamp basis and don’t include savings from lamp replacements. Note that the Energy Policy Act of 2005 (“EPACT 2005”) and Energy Independence and Security Act (“EISA”) 2007, and subsequent federal rulemakings, standards introduced new efficacy standards for linear fluorescent bulbs and ballasts, effectively phasing out magnetic ballasts (effective October 1, 2010) and most T-12 bulbs (effective July 14, 2012). This inducedinduces a shift in what a participant would have purchased in the absence of the program because T-12 bulbs on magnetic ballasts are no longer viable options and, therefore, adjusts the baseline assumption. With this understanding, standard T-8s becamewill become the baseline for all T-12 linear fluorescent retrofits beginning June 1, 2016 (PY8). The EISA 2007 standards for general service fluorescent bulbs are provided in REF _Ref414025713 \h Table 31. The comparable baseline for any removed standard T-12 fixture will be the T-8 fixture of the same length and lamp count. The comparable baseline for any removed high-output T-12 fixture will be the T-8 fixture of the same length and lamp count with a ballast factor equal to 0.98. The assumed T-8 baseline fixtures and wattages associated with the most common T-12 fixture configurations are presented in REF _Ref531941264 \h \* MERGEFORMAT Table 31. For small business direct install programs where wattage of the existing T-12 fixture is known, and the existing fixture was in working condition, wattage of the existing fixture removed by the program may be used as the baseline wattage in lieu of the table below. In such cases, the lighting equipment must be replaced directly by an ICSP and not a lighting trade ally. REF _Ref414025724 \h Table 32.Table 31: EISA 2007 Standards for General Service Fluorescent BulbsLamp TypeNominal Lamp WattageMinimum (Color Rendering Index) CRIMinimum Average Lamp Efficacy (LPW)4-foot medium bi-pin>35 W6975.0≤35 W4575.02-foot U-shaped>35 W6968.0≤35 W4564.08-foot slimline65 W6980.0≤65 W4580.08-foot high output>100 W6980.0≤100 W4580.0Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 2: Assumed T-8 Baseline Fixtures for Removed T-12 FixturesT-12 Lamp LengthT-12 Lamp TypeT-12 Lamp CountAssumed T-8 Baseline Fixture CodeAssumed T-8 Baseline Wattage24”Standard1F21ILL2024”Standard2F22ILL3324”Standard3F23ILL4724”Standard4F24ILL6136”Standard1F31ILL2636”Standard2F32ILL4636”Standard3F33ILL6736”Standard4F34ILL8748”Standard1F41ILL3148”Standard2F42ILL5948”Standard3F43ILL8948”Standard4F44ILL11248”Standard6F46ILL17548”Standard8F48ILL22460”Standard1F51ILL3660”Standard2F52ILL7272”Standard1F61ILL5572”Standard2F62ILL11196”Standard1F81ILL5896”Standard2F82ILL10996”Standard3F83ILL16796”Standard4F84ILL21996”Standard6F86ILL32896”High-Output1F81LHL8596”High-Output2F82LHL16096”High-Output3F83LHL25396”High-Output4F84LHL32096”High-Output6F86LHL506Similarly, the EISA “backstop” provision introduced new efficacy standards for general service lamps (effective January 1, 2020) effectively requiring a minimum efficacy of 45 lm/W for most general service lamps. This induced a shift in what a participant would have purchased in the absence of the program because standard and halogen incandescent lamps are no longer viable options and, therefore, adjusts the baseline assumption. With this understanding, a generic general service lamp with an efficacy of 45 lm/W will become the assumed baseline for the majority of incandescent lamp retrofits beginning January 1, 2020. The comparable baseline for any removed incandescent lamps will be a generic general service lamp with similar lumen output. The assumed generic general service lamp baseline lamps/fixtures and wattages associated with the most common incandescent lamp/fixture configurations are presented in REF _Ref535402505 \h Table 32.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 2: Assumed Generic GSL Baseline Lamps/Fixtures for Removed Incandescent Lamps/FixturesRemoved Lamp/Fixture DescriptionLamp CountBaselineFixture CodeAssumed Baseline Fixture WattageIncandescent, (1) 34W lamp1GSL8/18Incandescent, (1) 40W ES lamp1GSL8/18Incandescent, (1) 40W ES/LL lamp1GSL8/18Incandescent, (1) 36W lamp1GSL8/18Incandescent, (1) 40W lamp1GSL10/110Incandescent, (1) 42W lamp1GSL11/111Incandescent, (1) 45W lamp1GSL11/111Incandescent, (1) 50W lamp1GSL13/113Incandescent, (1) 52W lamp1GSL13/113Incandescent, (1) 60W ES lamp1GSL13/113Incandescent, (1) 60W ES/LL lamp1GSL13/113Incandescent, (1) 54W lamp1GSL14/114Incandescent, (1) 55W lamp1GSL14/114Incandescent, (1) 60W lamp1GSL17/117Incandescent, (1) 65W lamp1GSL18/118Incandescent, (1) 67W lamp1GSL19/119Incandescent, (1) 75W ES lamp1GSL19/119Incandescent, (1) 75W ES/LL lamp1GSL19/119Incandescent, (1) 69W lamp1GSL19/119Incandescent, (1) 72W lamp1GSL20/120Incandescent, (1) 75W lamp1GSL23/123Incandescent, (1) 80W lamp1GSL25/125Incandescent, (1) 85W lamp1GSL26/126Incandescent, (1) 100W ES lamp1GSL28/128Incandescent, (1) 100W ES/LL lamp1GSL28/128Incandescent, (1) 90W lamp1GSL28/128Incandescent, (1) 93W lamp1GSL29/129Incandescent, (1) 95W lamp1GSL30/130Incandescent, (1) 100W lamp1GSL33/133Incandescent, (1) 120W lamp1GSL40/140Incandescent, (1) 125W lamp1GSL44/144Incandescent, (1) 135W lamp1GSL48/148Incandescent, (1) 150W ES lamp1GSL48/148Incandescent, (1) 150W ES/LL lamp1GSL48/148Incandescent, (1) 150W lamp1GSL58/158Incandescent, (1) 170W lamp1GSL66/166Incandescent, (2) 34W lamp2GSL8/216Incandescent, (2) 40W lamp2GSL10/220Incandescent, (2) 50W lamp2GSL13/226Incandescent, (2) 52W lamp2GSL13/226Incandescent, (2) 54W lamp2GSL14/228Incandescent, (2) 55W lamp2GSL14/228Incandescent, (2) 60W lamp2GSL17/234Incandescent, (2) 65W lamp2GSL18/236Incandescent, (2) 67W lamp2GSL19/238Incandescent, (2) 75W lamp2GSL23/246Incandescent, (2) 90W lamp2GSL28/256Incandescent, (2) 95W lamp2GSL30/260Incandescent, (2) 100W lamp2GSL33/266Incandescent, (2) 120W lamp2GSL40/280Incandescent, (2) 135W lamp2GSL48/296Incandescent, (2) 150W lamp2GSL58/2116Incandescent, (3) 60W lamp3GSL17/351Incandescent, (3) 67W lamp3GSL19/357Incandescent, (3) 75W lamp3GSL23/369Incandescent, (3) 90W lamp3GSL28/384Incandescent, (3) 100W lamp3GSL33/399Incandescent, (4) 60W lamp4GSL17/468Incandescent, (4) 75W lamp4GSL23/492Incandescent, (4) 100W lamp4GSL33/4132Incandescent, (5) 60W lamp5GSL17/585Incandescent, (5) 100W lamp5GSL33/5165Halogen Incandescent, (1) 35W lamp1GSL12/112Halogen Incandescent, (1) 40W lamp1GSL14/114Halogen Incandescent, (1) 42W lamp1GSL14/114Halogen Incandescent, (1) 45W lamp1GSL17/117Halogen Incandescent, (1) 50W lamp1GSL19/119Halogen Incandescent, (1) 52W lamp1GSL20/120Halogen Incandescent, (1) 55W lamp1GSL24/124Halogen Incandescent, (1) 60W lamp1GSL26/126Halogen Incandescent, (1) 72W lamp1GSL33/133Halogen Incandescent, (1) 75W lamp1GSL34/134Halogen Incandescent, (1) 90W lamp1GSL41/141Halogen Incandescent, (1) 100W lamp1GSL46/146Halogen Incandescent, (1) 150W lamp1GSL69/169Halogen Incandescent, (2) 45W lamp2GSL17/234Halogen Incandescent, (2) 50W lamp2GSL19/238Halogen Incandescent, (2) 55W lamp2GSL24/248Halogen Incandescent, (2) 75W lamp2GSL34/268Halogen Incandescent, (2) 90W lamp2GSL41/282Halogen Incandescent, (2) 150W lamp2GSL69/2138See Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications.AlgorithmsFor all lighting fixture improvements (without control improvements), the following algorithms apply:kWh=kWbase-kWee=DeltakW×HOU×1-SVGbase×1+IFenergy×HOU×1-SVGbase×1+IFenergy?kWpeak=DeltakW×CF×1-SVGbase×1+IFdemandDeltakW?kWpeak=kWbase-kWee×CF×1-SVGbase×1+IFdemand=kWbase-kWeeDefinition of TermsTable 33: Terms, Values, and ReferencesVariables for Retrofit Lighting ImprovementsTermUnitValuesSourcekWbase, ,Connected load of the baseline lighting as defined by project classification kWSee Fixture Identities in Appendix CDefault Permanent Lamp Removal: REF _Ref531949540 \h \* MERGEFORMAT Table 310 REF _Ref395033615 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolAppendix C 3 REF _Ref395032771 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolkWee, Connected load of the post-retrofit or energy–efficient lighting systemkWSee Fixture Identities in Appendix CFor Permanent Fixture and/or Lamp Removal, kWee=0 REF _Ref395033640 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolAppendix C REF _Ref395032828 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolDeltakW, difference between connected load of baseline and post-retrofit energy efficiency lighting systemkWDefault Street Lighting: 0.120Calculated value4SVGbase, Savings factor for existing lighting control (percent of time the lights are off)NoneEDC Data GatheringEDC Data GatheringDefault: See REF _Ref373942903 \h \* MERGEFORMAT Table 34See REF _Ref373942903 \h \* MERGEFORMAT Table 34CF, Demand Coincidence factorFactor DecimalEDC Data GatheringEDC Data GatheringDefault Screw-based Bulbs: See REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service:See REF _Ref413750906 \h \* MERGEFORMAT Table 36 REF _Ref377135126 \h \* MERGEFORMAT Table 35See REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36 REF _Ref377135126 \h \* MERGEFORMAT Table 35HOU, Hours of Use – the average annual operating hours of the baseline lighting equipment, which if applied to full connected load will yield annual energy use.HoursYearEDC Data GatheringEDC Data GatheringDefault Screw-based Bulbs: REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service: REF _Ref413750906 \h \* MERGEFORMAT Table 36Default Street Lighting: REF _Ref411599608 \h \* MERGEFORMAT Table 37See REF _Ref413750906 \h \* MERGEFORMAT Table 36 REF _Ref377135126 \h \* MERGEFORMAT Table 35See REF _Ref413750649 \h \* MERGEFORMAT Table 35, and REF _Ref413750906 \h \* MERGEFORMAT Table 36, and REF _Ref411599608 \h \* MERGEFORMAT Table 37 REF _Ref377135126 \h \* MERGEFORMAT Table 35IFenergy, Interactive Energy Factor – applies to C&I interior lighting in space that has air conditioning, electric space hating, or refrigeration only. This represents the secondary energy impactssavings in cooling required which results from the decreased waste heat from efficientindoor lighting wattage.NoneDefault:See REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 393,8IFdemand, Interactive Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from the decreased waste heat from efficientindoor lighting wattage.NoneDefault:See REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 393,8Other factors required to calculate savings are shown in REF _Ref413750639 \h \* MERGEFORMAT Table 34, REF _Ref413750649 \h \* MERGEFORMAT Table 35, REF _Ref413750906 \h \* MERGEFORMAT Table 36, REF _Ref411599608 \h \* MERGEFORMAT Table 37, REF _Ref411601259 \h \* MERGEFORMAT Table 38, and REF _Ref413751106 \h \* MERGEFORMAT Table 39. Note that if HOU is stated and verified by logging lighting hours of use groupings, actual hours should be applied. In addition, the site-specific CF must be used to calculate peak demand savings if actual hours are used. The IF factors shown in REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 are to be used only when the facilities are air conditioned and only for fixtures in conditioned or refrigerated space. The HOU for refrigerated spaces are to be estimated or logged separately. Table 34: Savings Control Factors AssumptionsStrategyDefinitionTechnologySavings %SourcesSourceSwitchManual On/Off SwitchLight Switch0%51,2,3OccupancyAdjusting light levels according to the presence of occupantsOccupancy Sensors24%Time Clocks24%Energy Management System24%DaylightingAdjusting light levels automatically in response to the presence of natural lightPhotosensors28%Time Clocks28%Personal TuningAdjusting individual light levels by occupants according to their personal preferences; applies, for example, to private offices, workstation-specific lighting in open-plan offices, and classroomsDimmers31%Wireless on-off switches31%Bi-level switches31%Computer based controls31%Pre-set scene selection31%Institutional TuningAdjustment of light levels through commissioning and technology to meet location specific needs or building policies; or provision of switches or controls for areas or groups of occupants; examples of the former include high-end trim dimming (also known as ballast tuning or reduction of ballast factor), task tuning and lumen maintenanceDimmable ballasts36%On-off or dimmer switches for non-personal tuning36%Multiple TypesIncludes combination of any of the types described above. Occupancy and personal tuning, daylighting and occupancy are most common.Occupancy and personal tuning/ daylighting and occupancy38%Table 35: Lighting HOU and CF by Building Type for Screw-Based BulbsBuilding TypeHOUCFSourceEducation2,9440.3968Exterior, Photocell-Controlled (All Building Types)4,3060.117Exterior, All Other (All Building Types)3,6048330.110085Grocery7,7980.9968Health2,4760.4768Industrial Manufacturing – 1 Shift2,8570.96578, 94,6Industrial Manufacturing – 2 Shift4,7300.96578, 94,6Industrial Manufacturing – 3 Shift6,6310.96578, 94,6Institutional/Public Service1,4560.2368Lodging2,9250.3868Miscellaneous/Other2,0010.3368Multi-Family Common Areas5,9500.7362316Office1,4200.2668Parking Garages8,6786,5520.9862*84,7Restaurant3,0540.5568Retail2,3830.5668Street LightingSee REF _Ref411599608 \h \* MERGEFORMAT Table 370.00See REF _Ref411599608 \h \* MERGEFORMAT Table 37Warehouse2,8150.5068* 0.62 represents the simple average of all coincidence factors listed in the 2012 Mid-Atlantic TRM Table 36: Lighting HOU and CF by Building Type for Other General Service LightingBuilding TypeHOUCFSourceEducation2,3710.4568Exterior, Photocell-Controlled (All Building Types)4,3060.117Exterior (All Building Types)3,6048330.110085Grocery6,4710.9368Health2,9430.5268Industrial/Manufacturing - 1 Shift2,8570.96578, 96Industrial/Manufacturing - 2 Shift4,7300.96578, 96Industrial/Manufacturing - 3 Shift6,6310.96578, 96Institutional/Public Service1,4190.2368Lodging3,5790.4568Miscellaneous/Other2,8300.5868Multi-Family Common Areas5,9500.7362316Office2,2940.4868Parking Garage8,6786,5520.9862*87Restaurant4,7470.7768Retail2,9150.6668Street LightingSee REF _Ref411599608 \h \* MERGEFORMAT Table 370.00See REF _Ref411599608 \h \* MERGEFORMAT Table 37Warehouse2,5450.4868* 0.62 represents the simple average of all coincidence factors listed in the 2012 Mid-Atlantic TRM Table 37: Street lighting HOU by EDCEDCHOUSourceDuquesne4,200109PECO4,1001110PPL4,3001211Met-Ed4,2001312Penelec4,2001413Penn Power4,0701514West Penn Power4,2001615Table 38: Interactive Factors for All Bulb TypesTermUnitValuesSourceIFdemandNoneComfort Cooled = See REF _Ref413751106 \h \* MERGEFORMAT Table 3968Freezer spaces (-35 °F – 20 °F) = 0.50173Medium-temperature refrigerated spaces (20 °F – 40 °F) = 0.29High-temperature refrigerated spaces (40 °F – 60 °F) = 0.18Un-cooled space = 0IFenergyNoneComfort Cooled = See REF _Ref413751106 \h \* MERGEFORMAT Table 3968Freezer spaces (-35 °F – 20 °F) = 0.50173Medium-temperature refrigerated spaces (20 °F – 40 °F) = 0.29High-temperature refrigerated spaces (40 °F – 60 °F) = 0.18Un-cooled space = 0Table 39: Interactive Factors for Comfort Cooled Spaces for All Building TypesHeating FuelIFenergyIFdemandNon-Electric Heat0.0310.192Electric Heat-0.1420.192Unknown0.0000.192Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 10: Connected Load of the Baseline LightingLamp LengthWattage Removed (kWbase) per LampSourceT88-foot0.0386184-foot0.01943-foot0.01462-foot0.0098Default SavingsThere are no default savings associated with this measure.Evaluation ProtocolsMethods for Determining Baseline ConditionsThe following are acceptable methods for determining baseline conditions when verification by direct inspection is not possible as may occur in a rebate program where customers submit an application and equipment receipts only after installing efficient lighting equipment, or for a retroactive project as allowed by Act 129. In order of preference:Examination of replaced lighting equipment that is still on site waiting to be recycled or otherwise disposed ofExamination of replacement lamp and ballast inventories where the customer has replacement equipment for the retrofitted fixtures in stock. The inventory must be under the control of the customer or customer’s agentInterviews with and written statements from customers, facility managers, building engineers or others with firsthand knowledge about purchasing and operating practices at the affected site(s) identifying the lamp and ballast configuration(s) of the baseline condition Interviews with and written statements from the project’s lighting contractor or the customer’s project coordinator identifying the lamp and ballast configuration(s) of the baseline equipmentFor street lighting projects only, use of the DeltakW as shown in REF _Ref12176186 \h Table 33Detailed Inventory FormA detailed lighting inventory is required for all lighting improvement projects. The lighting inventory form will use the algorithms presented above to derive the total ΔkW and ΔkWh savings for each installed measure. Within a single project, to the extent there are multiple combinations of control strategies (SVG), hours of use (HOU), coincidence factors (CF) or interactive factors (IF), the ?kW will be broken out to account for these different factors. This will be accomplished using Appendix C, REF _Ref395034034 \h Appendix C: Lighting Audit and Design Tool, a Microsoft Excel inventory form that specifies the lamp and ballast configuration using the “Fixture Identities” sheet and SVG, HOU, CF and IF values for each line entry. The inventory form will also specify the location and number of fixtures for reference and validation. Appendix C REF _Ref395034121 \h Appendix C: Lighting Audit and Design Tool was developed to automate the calculation of energy and demand impacts for retrofit lighting projects, based on a series of entries by the user defining key characteristics of the retrofit project. The "General Information" sheet is provided for the user to identify facility-specific details of the project that have an effect on the calculation of gross savings. Facility-specific details include contact information, electric utility, building area information, and operating schedule. The "Lighting Inventory" sheet is the main worksheet that calculates energy savings and peak demand reduction for the user-specified lighting fixture and controls improvements. This form follows the algorithms presented above and facilitates the calculation of gross savings for implementation and evaluation purposes. Each line item on this tab represents a specific area with common baseline fixtures, retrofit fixtures, controls strategy, space cooling, and space usage. Baseline and retrofit fixture wattages are determined by selecting the appropriate fixture code from the “Fixture Identities” sheet. The sheet can also be used to find the appropriate code for a particular lamp-ballast combination by using the enabled auto-filter options. Actual wattages of fixtures determined by manufacturer’s equipment specification sheets or other independent sources may not be used unless (1) the manufacturer's cut sheet indicates that the difference in delta-watts of fixture wattages (i.e. difference in delta watts of baseline and “actual” installed efficient fixture wattage and delta watts of baseline and nearest matching efficient fixture in the “Fixture Identities” of Appendix C REF _Ref395032771 \h Appendix C: Lighting Audit and Design Tool is more than 10% or (2) the corresponding fixture code is not listed in the “Fixture Identities” list. In these cases, alternate wattages for lamp-ballast combinations can be inputted using the appropriate cells within the “Fixture Identities” tab. Rows 9 through 2818 provide a guided custom LED fixture generator to be used with non-self-ballasted LEDs. All other custom cut sheets should be inputted into rows 932922 through 981971. Documentation supporting the alternate wattages must be provided in the form of manufacturer-provided specification sheets or other industry accepted sources (e.g. ENERGY STAR listing, Design Lights Consortium listing, etc.).). Submitted specification sheets must cite test data performed under standard ANSI procedures. These exceptions will be used as the basis for periodically updating the “Fixture Identities” to better reflect market conditions and more accurately represent savings.Some EDC Implementation CSPslighting contractors may have developed in-house lighting inventory forms that are used to determine reported savingspreliminary estimates forof projects and calculate rebate amounts. The Appendix C form is the preferred tool for reported and verified savings calculations.. In order to ensure standardization of all lighting projects, REF _Ref395034225 \h Appendix C: Lighting Audit and Design Tool must still be used. However, if a ICSPthird-party lighting inventory form may be used for program delivery purposes is provided it (1) includes all the same functionality, formulas, entries to REF _Ref395034247 \h Appendix C: Lighting Audit and Design Tool may be condensed into groups sharing common baseline fixtures, retrofit fixtures, space type, building type, and calculation steps as the Appendix C form and (2) is approvedcontrols. Whereas REF _Ref395034313 \h Appendix C: Lighting Audit and Design Tool separates fixtures by the SWE prior to being utilized to calculate reported savings. In the case where an ICSP tool produces a different savings estimate from the Appendix C calculator, the Appendix C result is consideredlocation to be the TRM-supported savings value. Appendix Cfacilitate evaluation and audit activities, third-party forms can serve that specific function if provided. REF _Ref395034351 \h Appendix C: Lighting Audit and Design Tool will be updated periodically to include new fixtures and technologies available as may be appropriate. Additional guidance can be found in the “Manual” sheet of Appendix C. REF _Ref395034375 \h Appendix C: Lighting Audit and Design Tool.Custom Hours of Use and Coincidence FactorsIf the project cannot be described by the building type categories listed in REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36, or if the facility’s actual lighting hours deviate by more than 10% from the tables, or if the project retrofitted only a portion of a facility’s lighting system for which whole building hours of use would not be appropriate, the deemed HOU and CF assumptions can be overridden by inputting custom operating schedules into the Lighting Operation Schedule portion of the “General Information” tab of Appendix C.: Lighting Audit and Design Tool. The custom schedule inputs must be corroborated by an acceptable source such as posted hours, customer interviews, building monitoring system (BMS), or metered data. For all projects, annual hours are subject to adjustment by EDC evaluators or SWE.Metering – Projects with savings below 750,000 kWh?Metering is?encouraged for projects with expected savings below 750,000 kWh but have high uncertainty, i.e. where hours are unknown, variable, or difficult to verify. Exact conditions of “high uncertainty” are to be determined by the EDC evaluation contractors to appropriately manage variance. Metering completed by the implementation contractor maybe leveraged by the evaluation contractor, subject to a reasonableness review. Sampling methodologies within a site are to be either discerned by the EDC evaluation contractor based on the characteristics of the facility in question or performed consistent with guidance the EDC EM&V contractor provides.?Metering – Projects with savings of 750,000 kWh or higher?For projects with expected savings of 750,000 kWh or higher, metering is required. Installation of light loggers is the accepted method of metering, but trend data from BMS is an acceptable substitute. Metering completed by the implementation contractor may be leveraged by the evaluation contractor, subject to a reasonableness review. Sampling methodologies within a site are to be either discerned by the EDC evaluation contractor or communicated to implementation contractors based on the characteristics of the facility in question or performed consistent with guidance the EDC EM&V contractor provides. When BMS data is used as a method of obtaining customer-specific data in lieu of metering, the following guidelines should be followed: Care should be taken with respect to BMS data, since the programmed schedule may not reflect regular hours of long unscheduled overrides of the lighting system, such as nightly cleaning in office buildings, and may not reflect how the lights were actually used, but only the times of day the common area lighting is commanded on and off by the BMS. The BMS trends should represent the actual status of the lights (not just the command sent to the lights), and the ICSP and EC are required to demonstrate that the BMS system is functioning as expected, prior to relying on the data for evaluation purposes. The BMS data utilized should be specific to the lighting systems, and should be required to be representative of the building areas included in the lighting project. Sources LED T8 Replacement Lamps UL Type A. Southern California Edison. July 11, 2018. Work Paper SCE17LG117 Revision 1. HYPERLINK "" . Reflects typical remaining useful life of existing electronic ballast.Measure life values were developed using rated life values of lamps and ballasts from Osram Sylvania’s 2014 – 2015 Lamp & Ballast Catalog. The rated lives were divided by the average HOU for all building types. HYPERLINK "" Illinois Statewide Technical Reference Manual for Energy Efficiency v7.0. Multi-family common area value based on DEER 2008. HYPERLINK "" . Accessed December 2018.Navigant analysis of Phase III evaluation-verified lighting data across all seven Pennsylvania EDCs.Williams, A., Atkinson, B., Garbesi, K., Rubinstein, F., “A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings”, Lawrence Berkeley National Laboratory, September 2011. HYPERLINK "" Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" . Naval Observatory. Duration of Daylight/Darkness Table for One Year. HYPERLINK "" Assumes values for Philadelphia.Goldberg et al, State of Wisconsin Public Service Commission of Wisconsin, Focus on Energy Evaluation, Business Programs, Incremental Cost Study, KEMA, October 28, 2009. HYPERLINK "" 2011 Efficiency Vermont TRM The Mid-Atlantic TRM – Northeast Energy Efficiency Partnerships, Mid-Atlantic Technical Reference Manual v8, Version 2.0, HYPERLINK "" by Vermont Energy Investment Corporation, July, 2011. Development of Interior Lighting Hours of Use and Coincidence Factor Values for EmPOWER Maryland DRAFT Final Impact Evaluation Deemed Savings (June 1, 2017 – May 31, 2018) Commercial Lighting Program Evaluations, Itron, 2010.California Public Utility Commission. Database for Energy Efficiency Resources, 2008Small Commercial & Industrial Prescriptive, Small Business, andContract Group Direct Install Programs, Navigant, March, 2018.Impact Evaluation Report prepared by Itron for the California Public Utilities Commission Energy Division, February 9, 2010State of Ohio Energy Efficiency Technical Reference Manual, Vermont Energy Investment Corporation, August 6, 2010. UI and CL&P Program Savings Documentation for 2013 Program Year, United Illuminating Company, September 2012. CL&P and UI 2008 program documentation (referenced above) cites an estimated 4,368 hours, only 68 hours greater than dusk to down operating hours. ESNA RP-20-98; Lighting for Parking Facilities acknowledges "Garages usually require supplemental daytime luminance in above-ground facilities, and full day and night lighting for underground facilities." Emphasis added. The adopted assumption of 6,552 increases the CL&P and UI value by 50% (suggest data logging to document greater hours i.e., 8760 hours per year).Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" Light Schedule of Rates, Page 6874, Released SeptemberNovember 20, 20182014. HYPERLINK "" Energy Company Electric Service Tariff, Page 6270, Released May 28, 2018December 19, 2014. HYPERLINK "" HYPERLINK "" PPL Electric Utilities General Tariff, Page 19Z.1A153, Released September 20, 2018December 22, 2014. Edison Company Electric Service Tariff, Page 86121, Released August 22, 2018December 19, 2014. HYPERLINK "" HYPERLINK "" Pennsylvania Electric Company Electric Service Tariff, Page 102128, Released September 20, 2018December 19, 2014. HYPERLINK "" Power Company Schedule of Rates, Rules and Regulations for Electric Service, Page 8882, Released September 20, 2018December 19, 2014. HYPERLINK "" Penn Power Company Tariff, Page 96144, Released September 20, 2018December 19, 2014. HYPERLINK "" Vermont Technical Reference User Manual (TRM), March 16, 2015. HYPERLINK "" Missouri Technical Reference Manual. Missouri Division of Energy, March 31, 2017. Missouri Technical Reference Manual. Volume 2: Commercial and Industrial Measures. HYPERLINK "" HYPERLINK "" Illinois Energy Efficiency Technical Reference Manual, Vermont Energy Investment Corporation, 2012. Multi-family common area value based on Focus on Energy Evaluation, ACES Deemed Savings Desk Review, November 2010.New Construction Lighting Measure NameNew Construction LightingTarget SectorCommercial and Industrial EstablishmentsMeasure UnitLighting EquipmentUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageNew ConstructionNew Construction incentives are intended to encourage decision-makers in new construction projects to incorporate greater energy efficiency into their building design and construction practices that will result in a permanent reduction in electrical (kWh) usage above baseline practices. See Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications.Eligibility RequirementsNew construction applies to new building projects wherein no structure or site footprint presently exists, addition or expansion of an existing building or site footprint, or major tenant improvements that change the use of the space. Eligible lighting equipment and fixture/lamp types include fluorescent fixtures (lamps and ballasts), compact fluorescent lamps, high intensity discharge (HID) lamps, interior and exterior LED lamps and fixtures, cold-cathode fluorescent lamps (CCFL), induction lamps, and lighting controls. The baseline demand kWbase for calculating savings is determined using one of the two methods detailed in IECC 2015.ASHRAE 90.1-2007. The interior lighting baseline is calculated using eitherthe more conservative of the Building Area Method as shown in REF _Ref395523251 \h Table 31211 or the Space-by-Space Method as shown in REF _Ref275549503 \h Table 31312. For exterior lighting, the baseline is calculated using the Baseline Exterior Lighting Power Densities as shown in REF _Ref377135254 \h \* MERGEFORMAT Table 314. REF _Ref377135254 \h \* MERGEFORMAT Table 314 does not distinguish between tradable and non-tradable exterior spaces. When analyzing exterior spaces, all exterior spaces must be included in savings calculations so that energy penalties from any over-lit spaces are properly accounted for in the facility-level savings estimates. as shown in REF _Ref377135254 \h Table 313. The post-installation demand is calculated based on the installed fixtures using the “Fixture Identities” sheet in Appendix C. REF _Ref395032771 \h Appendix C: Lighting Audit and Design Tool. AlgorithmsFor all new construction projects analyzed using the IECC 2015ASHRAE 90.1-2007 Building Area Method, the following algorithms apply Source 2:kWh=kWbase-kWee×HOU×(1-SVGbase)×1+IFenergy?kWpeak=kWbase-kWee×CF×1-SVGbase×1+IFdemandFor all new construction projects analyzed using the IECC 2015AHRAE 90.1-2007 Space-by-Space Method, the following algorithms apply Source 2:kWh=i=1n?kWh1+?kWh2+…?kWhn?kWpeak=i=1n?kWp1+?kWp2+…?kWpnWhere n is the number of spaces and:?kWh1=kWbase,1-kWee,1×HOU1×(1-SVGbase1)×1+IFenergy,1?kWp1=kWbase,1-kWee,1×CF1×1-SVGbase1×1+IFdemand,1Definition of TermsTable 31110: Terms, Values, and References: Variables for New Construction LightingTermUnitValuesSourcekWbase, The baseline space or building connected load as calculated by multiplying the space or building area by the appropriate Lighting Power Density (LPD) values specified in either REF _Ref395523251 \h \* MERGEFORMAT Table 31211 or REF _Ref275549503 \h \* MERGEFORMAT Table 31312kWCalculated based on space or building type and size.Calculated ValuekWee, The calculated connected load of the energy efficient lightingkWCalculated based on specifications of installed equipment using Appendix C REF _Ref395032771 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolCalculated ValueSVGbase, Baseline savings factor in accordance with code-required lighting controls (percent of time the lights are off)NoneBased on CodeEDC Data GatheringDefault: See REF _Ref413757344 \h \* MERGEFORMAT Table 315141CF, Demand Coincidence factorFactorDecimalBased on MeteringEDC Data GatheringDefault Screw-based Bulbs: See REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service:See REF _Ref413750906 \h \* MERGEFORMAT Table 36See REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36HOU, Hours of Use – the average annual operating hours of the facilityHoursYearBased on MeteringEDC Data GatheringDefault Screw-based Bulbs: See REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service:See REF _Ref413750906 \h \* MERGEFORMAT Table 36See REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36IFenergy,IF, Interactive Energy Factor NoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39Vary based on building type and space cooling details.See REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39Table 31211: Lighting Power Densities from IECC 2015ASHRAE 90.1-2007 Building Area Method Source 2Building Area TypeLPD (W/ft2)Building Area TypeLPD (W/ft2)Automotive facility0.809Multifamily0.517Convention center1.012Museum1.021Courthouse1.012Office1.0.82Dining: bar lounge/leisure1.013Parking garage0.213Dining: cafeteria/fast food0.901.4Penitentiary1.0.81Dining: family0.951.6Performing arts theater1.396Dormitory1.0.57Police/fire station1.0.87Exercise center1.0.84Post office0.871.1GymnasiumFire station0.671.1Religious building1.003Health-care clinicGymnasium1.0.94Retail1.265HospitalHealth care clinic0.901.2School/university0.871.2HotelHospital1.050Sports arena0.911.1LibraryHotel/Motel0.871.3Town hall0.891.1Manufacturing facilityLibrary1.193Transportation1.0.70MotelManufacturing facility1.170Warehouse0.668Motion picture theater0.761.2Workshop1.194Table 31312: Lighting Power Densities from IECC 2015ASHRAE 90.1-2007 Space-by-Space Method Source 2Common Space TypeLPD (W/ft2)Building Specific Space TypesLPD (W/ft2)AtriumOffice-Enclosed?1.1Facility for the visually impairedGymnasium/Exercise Center?Office-Open Plan1.1Playing Area1.4Less than 40 feet in heightConference/Meeting/Multipurpose0.03 per foot in total height1.3In a chapel (and not used primarily by the staff)Exercise Area2.210.9Classroom/Lecture/Training1.4Courthouse/Police Station/PenitentiaryFor Penitentiary1.3Courtroom1.9Greater than 40 feet in heightLobby0.40 + 0.02 per foot in total height1.3In a recreation room (and not used primarily by the staff)Confinement Cells2.410.9For Hotel1.1Judges Chambers1.3For Performing Arts Theater3.3Fire StationsFor Motion Picture Theater1.1Fire Station Engine Room0.8Audience seating area/Seating Area0.9Automotive (See Vehicle Maintenance Area above)Sleeping Quarters0.3For Gymnasium0.4Post Office-Sorting Area1.2In an auditoriumFor Exercise Center0.633Convention Center—exhibit space-Exhibit Space1.453In a convention centerFor Convention Center0.827LibraryDormitory—living quarters0.38In a gymnasiumFor Penitentiary0.657Fire Station—sleeping quartersCard File and Cataloging0.221.1In a motion picture theaterFor Religious Buildings1.147Gymnasium/fitness centerStacks1.7In a penitentiaryFor Sports Arena0.284In an exercise areaReading Area0.721.2For Performing Arts Theater2.6HospitalIn a performing arts theaterFor Motion Picture Theater1.2.43EmergencyIn a playing area1.202.7In a religious building1.53Healthcare facility?In a sports arenaFor Transportation0.435In an exam/treatment roomRecovery1.660.8OtherwiseAtrium—First Three Floors0.436In an imaging roomNurse Station1.510Banking activity areaAtrium—Each Additional Floor1.010.2In a medical supply roomExam/Treatment0.741.5Breakroom (See Lounge/Breakroom)Recreation1.2PharmacyIn a nursery0.881.2Classroom/lecture hall/training roomFor Hospital0.8In a nurse's stationPatient Room0.717In a penitentiaryDining Area1.340.9In an operating roomOperating Room2.482OtherwiseFor Penitentiary1.243In a patient roomNursery0.626For Hotel1.3Medical Supply1.4Conference/meeting/multipurpose roomFor Motel1.232In a physical therapy roomPhysical Therapy0.919Copy/print roomFor Bar Lounge/Leisure Dining0.721.4In a recovery roomRadiology1.150.4For Family Dining2.1Laundry—Washing0.6Food Preparation1.2Automotive—Service/Repair0.7Laboratory1.4ManufacturingRestrooms0.9Low (<25 ft. Floor to Ceiling Height)1.2Dressing/Locker/Fitting Room0.6High (>25 ft. Floor to Ceiling Height)1.7Corridor/Transition0.5Detailed ManufacturingLibrary2.1In a facility for the visually impaired (and not used primarily by the staff)For Hospital1.0.92In a reading areaEquipment Room1.062In a hospital0.79In the stacks1.71In a manufacturing facilityFor Manufacturing Facility0.415Control RoomManufacturing facility?0.5OtherwiseStairs—Active0.666In a detailed manufacturing areaHotel/Motel Guest Rooms1.291Active StorageCourtroom1.720.8In an equipment roomDormitory—Living Quarters0.741.1Computer roomFor Hospital1.710.9MuseumIn an extra high bay area (greater than 50' floor-to-ceiling height)1.05Dining areaInactive Storage0.3In a high bay area (25-50' floor-to-ceiling height)General Exhibition1.230In a penitentiary0.96In a low bay area (less than 25' floor-to-ceiling height)1.19In a facility for the visually impaired (and not used primarily by the staff)For Museum1.900.8RestorationMuseum?1.7In bar/lounge or leisure dining1.07In a general exhibition area1.05In cafeteria or fast food dining0.65In a restoration room1.02In family dining0.89Performing arts theater—dressing room0.61OtherwiseElectrical/Mechanical0.651.5Post Bank/Office—SortingBanking Activity Area0.941.5Electrical/mechanical roomWorkshop0.951.9Religious buildingsBuildingsSales AreaEmergency vehicle garage0.561.7In a fellowship hallWorship Pulpit, Choir0.642.4Food preparation area?1.21In a worship/pulpit/choir areaFellowship Hall1.530.9Guest room?0.47Retail facilitiesLaboratory?In a dressing/fitting roomSales Area [For accent lighting, see 9.3.1.2.1(c)]0.711.7In or as a classroom?1.43In a mall concourseMall Concourse1.107Otherwise?1.81Sports arena—playing areaArenaLaundry/washing area0.60For a Class I facility3.68Loading dock, interior?0.47For a Class II facilityRing Sports Area2.407Lobby?For a Class III facility1.80In a facility for the visually impaired (and not used primarily by the staff)1.80For a Class IV facility1.20For an elevator0.64Transportation facilityIn a hotel1.06In a baggage/carousel area0.53In a motion picture theater0.59In an airport concourse0.36In a performing arts theater?2.00At a terminal ticket counterCourt Sports Area0.802.3?Indoor Playing Field Area1.4Otherwise?0.90Warehouse—storage areaLocker room?0.75For medium to bulky, palletized itemsFine Material Storage0.581.4Lounge/breakroom??For smaller, hand-carried itemsMedium/Bulky Material Storage0.959In a healthcare facility0.92?Otherwise0.73?Office?Enclosed1.11?Open plan0.98?Parking area, interior?0.19?Parking Garage—Garage Area0.2?Pharmacy area1.68?TransportationRestroom??Airport—Concourse0.6In a facility for the visually impaired (and not used primarily by the staff)?1.21?Air/Train/Bus—Baggage Area1.0Otherwise?0.98?Terminal—Ticket Counter1.5Sales area1.59?Seating area, general0.54?Stairway (See space containing stairway)?Stairwell0.69?Storage room0.63?Vehicle maintenance area0.67?Workshop1.59?Table 31413: Baseline Exterior Lighting Power Densities Source 2Building Exterior?Space DescriptionLighting ZonesLPDZone 1Zone 2Zone 3Zone 4Base Site Allowance (Base allowance is usable in tradable or nontradable surfaces.)500 W600 W750 W1300 WUncovered Parking AreasUncovered Parking AreaParking areasLots and drivesDrives0.0415 W/ft20.06 W/ft20.10 W/ft20.13 W/ft2Building GroundsBuilding GroundsWalkways less than 10 feetft. wide0.7 W/linear foot0.7 W/linear foot0.8 W/linear foot1.0 W/linear footWalkways 10 feetft. wide or greater, plaza areas, special feature areas0.14 W/ft20.14 W/ft20.16 W/ft20.2 W/ft2Plaza areasSpecial feature areasStairways0.75 W/ft21.0 W/ft21.0 W/ft21.0 W/ft2Pedestrian tunnels0.15 W/ft20.15 W/ft20.2 W/ft20.3 W/ft2Building Entrances and ExitsBuilding Entrances and ExitsMain entries20 W/linear foot of door width20 W/linear foot of door width30 W/linear foot of door width30 W/linear foot of door widthOther doors20 W/linear foot of door width20 W/linear foot of door width20 W/linear foot of door width20 W/linear foot of door widthEntry canopies0.25 W/ft20.25 W/ft20.4 W/ft20.4 W/ft2Sales CanopiesCanopies and OverhangsFree- standing and attached and overhangs0.6 W/ft20.6 W/ft20.8 W/ft21.025 W/ft2Outdoor SalesOutdoor salesOpen areas (including vehicle sales lots)0.25 W/ft20.25 W/ft20.5 W/ft20.7 W/ft2Street frontage for vehicle sales lots in addition to “open area” allowanceNo allowance1020 W/linear foot10 W/linear foot30 W/linear footBuilding facadesNo allowance0.075 W/ft2 of gross above-grade wall area0.2 W/ft2 for each illuminated wall or surface or 5.0 W/linear foot for each illuminated wall or surface length0.113 W/ft2 of gross above-grade wall area0.15 W/ft2 of gross above-grade wall areaAutomated teller machines (ATM) and night depositories270 W per location plus 90 W per additional ATM per location270 W per location plus 90 W per additional ATM per location270 W per location plus 90 W per additional ATM per location270 W per location plus 90 W per additional ATM per locationEntrances and gatehouse inspection stations at guarded facilities0.75 W/ft2 of covered and uncovered area0.751.25 W/ft2 of covered and uncovered area0.75 W/ft2 of covered and uncovered area0.75 W/ft2 of covered and uncovered areaLoading areas for law enforcement, fire, ambulance, and other emergency service vehicles0.5 W/ft2 of covered and uncovered area0.5 W/ft2 of covered and uncovered area0.5 W/ft2 of covered and uncovered area0.5 W/ft2 of covered and uncovered areaDrive-upthrough windows/doors at fast food restaurants400 W per drive-through400 W per drive-through400 W per drive-through400 W per drive-throughParking near 24-hour retail entrances800 W per main entry800 W per main entry800 W per main entry800 W per main entryTable 31514: Default Baseline Savings Control Factors Assumptions for New Construction OnlyBuilding TypeSVGbaseEducation1713%Exterior0%Grocery50%Health82%Industrial/Manufacturing – 1 Shift0%Industrial/Manufacturing – 2 Shift0%Industrial/Manufacturing – 3 Shift0%Institutional/Public Service127%Lodging151%Miscellaneous/Other62%Office152%Parking Garage0%Restaurant50%Retail50%Warehouse141%CustomBased on CodeDefault SavingsThere are no default savings associated with this measure.Evaluation ProtocolsDetailed Inventory FormA detailed inventory of all installed fixtures contributing to general light requirements is mandatory for participation in this measure. Lighting that need not be included in the inventory is as follows:Display or accent lighting in galleries, museums, and monumentsLighting that is integral to:Equipment or instrumentation and installed by its manufacturer,Refrigerator and freezer cases (both open and glass-enclosed),Equipment used for food warming and food preparation,Medical equipment, orAdvertising or directional signage,Exit signs, orEmergency lightingLighting specifically designed only for use during medical proceduresLighting used for plant growth or maintenanceLighting used in spaces designed specifically for occupants with special lighting needsLighting in retail display windows that are enclosed by ceiling height partitions.A detailed lighting inventory is required for all lighting improvement projects. The lighting inventory form will use the algorithms presented above to derive the total ΔkW and ΔkWh savings for each installed measure. Within a single project, to the extent there are multiple combinations of control strategies (SVG), hours of use (HOU), coincidence factors (CF) or interactive factors (IF), the ?kW will be broken out to account for these different factors. This will be accomplished using Appendix C, REF _Ref395034034 \h Appendix C: Lighting Audit and Design Tool, a Microsoft Excel inventory form that specifies the lamp and ballast configuration using the “Fixture Identities” sheetStandard Wattage Table and SVG, HOU, CF and IF values for each line entry. The inventory form will also specify the location and number of fixtures for reference and validation. Appendix C REF _Ref395034121 \h Appendix C: Lighting Audit and Design Tool was developed to automate the calculation of energy and demand impacts for new construction lighting projects, based on a series of entries by the user defining key characteristics of the new construction project. The "General Information" sheet is provided for the user to identify facility-specific details of the project that have an effect on the calculation of gross savings. Facility-specific details include contact information, electric utility, building area information, and operating schedule. The "Lighting Inventory" sheet is the main worksheet that calculates energy savings and peak demand reduction for the user-specified lighting fixture and controls improvementsinstalled. This form follows the algorithms presented above and facilitates the calculation of gross savings for implementation and evaluation purposes. Each line item on this tab represents a specific area with common baseline fixtures, retrofit fixtures, controls strategy, space cooling, and space usage. Baseline and retrofitInstalled fixture wattages are determined by selecting the appropriate fixture code from the “Fixture Identities” sheet. The sheet can also be used to find the appropriate code for a particular lamp-ballast combination by using the enabled auto-filter options. Actual wattages of fixtures determined by manufacturer’s equipment specification sheets or other independent sources may not be used unless (1) the manufacturer's cut sheet indicates that the difference in delta-watts of fixture wattages (i.e. difference in delta watts of baseline and “actual” installed efficient fixture wattage and delta watts of baseline and nearest matching efficient fixture in the “Fixture Identities” of Appendix C REF _Ref395032771 \h Appendix C: Lighting Audit and Design Tool is more than 10% or (2) the corresponding fixture code is not listed in the “Fixture Identities” list. In these cases, alternate wattages for lamp-ballast combinations can be inputted using the appropriate cells within the “Fixture Identities” tab. Rows 9 through 2818 provide a guided custom LED fixture generator to be used with non-self-ballasted LEDs. All other custom cut sheets should be inputted into rows 932922 through 981971. Documentation supporting the alternate wattages must be provided in the form of manufacturer-provided specification sheets or other industry accepted sources (e.g. ENERGY STAR listing, Design Lights Consortium listing, etc.).). Submitted specification sheets must cite test data performed under standard ANSI procedures. These exceptions will be used as the basis for periodically updating the “Fixture Identities” to better reflect market conditions and more accurately represent savings.Some EDC Implementation CSPslighting contractors may have developed in-house lighting inventory forms that are used to determine reported savingspreliminary estimates forof projects and calculate rebate amounts. The Appendix C form is the preferred tool for reported and verified savings calculations.. In order to ensure standardization of all lighting projects, REF _Ref395034225 \h Appendix C: Lighting Audit and Design Tool must still be used. However, if a ICSPthird-party lighting inventory form may be used for program delivery purposes is provided it (1) includes all the same functionality, formulas, entries to REF _Ref395034247 \h Appendix C: Lighting Audit and Design Tool may be condensed into groups sharing common baseline fixtures, retrofit fixtures, space type, building type, and calculation steps as the Appendix C form (2) is approvedcontrols. Whereas REF _Ref395034313 \h Appendix C: Lighting Audit and Design Tool separates fixtures by the SWE prior to being utilized to calculate reported savings. In the case where an ICSP tool produces a different savings estimate from the Appendix C calculator, the Appendix C result is consideredlocation to be the TRM-supported savings value. Appendix Cfacilitate evaluation and audit activities, third-party forms can serve that specific function if provided. REF _Ref395034351 \h Appendix C: Lighting Audit and Design Tool will be updated periodically to include new fixtures and technologies available as may be appropriate. Additional guidance can be found in the “Manual” sheet of Appendix C. REF _Ref395034375 \h Appendix C: Lighting Audit and Design Tool.Custom Hours of Use and Coincidence FactorsIf the project cannot be described by the building type categories listed in REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36, REF _Ref413750906 \h Table 36 or if the facility’s actual lighting hours deviate by more than 10% from the tables, or if the project retrofitted only a portion of a facility’s lighting system for which whole building hours of use would not be appropriate, the deemed HOU and CF assumptions can be overridden by inputting custom operating schedules into the Lighting Operation Schedule portion of the “General Information” tab of Appendix C.: Lighting Audit and Design Tool. The custom schedule inputs must be corroborated by an acceptable source such as posted hours, customer interviews, building monitoring system (BMS), or metered data. For all projects, annual hours are subject to adjustment by EDC evaluators or SWE.Metering – Projects with savings below 750,000 kWh?Metering is?encouraged for projects with expected savings below 750,000 kWh but have high uncertainty, i.e. where hours are unknown, variable, or difficult to verify. Exact conditions of “high uncertainty” are to be determined by the EDC evaluation contractors to appropriately manage variance. Metering completed by the implementation contractor maybe leveraged by the evaluation contractor, subject to a reasonableness review. Sampling methodologies within a site are to be either discerned by the EDC evaluation contractor based on the characteristics of the facility in question or performed consistent with guidance the EDC EM&V contractor provides.?Metering – Projects with savings of 750,000 kWh or higher?For projects with expected savings of 750,000 kWh or higher, metering is required. Exceptions may be made and EDC data gathering may be substituted if necessary at the evaluation contractor’s discretion in cases involving early occupancy. Otherwise, installation of light loggers is the accepted method of metering, but trend data from BMS is an acceptable substitute. Metering completed by the implementation contractor maybe leveraged by the evaluation contractor, subject to a reasonableness review. Sampling methodologies within a site are to be either discerned by the EDC evaluation contractor or communicated to implementation contractors based on the characteristics of the facility in question or performed consistent with guidance the EDC EM&V contractor provides.When BMS data is used as a method of obtaining customer-specific data in lieu of metering, the following guidelines should be followed: Care should be taken with respect to BMS data, since the programmed schedule may not reflect regular hours of long unscheduled overrides of the lighting system, such as nightly cleaning in office buildings, and may not reflect how the lights were actually used, but only the times of day the common area lighting is commanded on and off by the BMS. The BMS trends should represent the actual status of the lights (not just the command sent to the lights), and the ICSP and EC are required to demonstrate that the BMS system is functioning as expected, prior to relying on the data for evaluation purposes. The BMS data utilized should be specific to the lighting systems, and should be required to be representative of the building areas included in the lighting project. SourcesMeasure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. HYPERLINK "" Energy Conservation Code 2015. International Code Council.Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" Lighting ControlsMeasure NameLighting ControlsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitWattage ControlledUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life8 years Source 1Measure VintageRetrofit and New ConstructionEligibilityLighting controls turn lights on and off automatically, which are activated by time, light, motion, or sound. The measurement of energy savings is based on algorithms with key variables (e.g. coincidence factor (CF), hours of use (HOU) provided through existing end-use metering of a sample of facilities or from other utility programs with experience with these measures (i.e., % of annual lighting energy saved by lighting control). These key variables are listed in REF _Ref411600672 \h \* MERGEFORMAT Table 31615. If a lighting improvement consists of solely lighting controls, the lighting fixture baseline is the existing fixtures with the existing lamps and ballasts or, if retrofitted, new fixtures with new lamps and ballasts as defined in Lighting Audit and Design Tool shown in Appendix C. REF _Ref395038255 \h Appendix C: Lighting Audit and Design Tool. In either case, the kWee for the purpose of the algorithm is set to kWbase.AlgorithmsAlgorithmsAlgorithms for annual energy savings and peak demand savings are shown below.kWh=kWcontrolled×HOU×SVGee-SVGbase×1+IFenergy?kWpeak=kWcontrolled×SVGee-SVGbase×1+IFdemand×CFDefinition of TermsTable 31615: Terms, Values, and References for: Lighting Controls AssumptionsTermUnitValuesSourcekWcontrolled, Total lighting load connected to the new control in kilowatts. Savings are per controlled system.control. The total connected load per controlled systemcontrol should be collected from the customerkWLighting Audit and Design Tool in Appendix C REF _Ref395038290 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolEDC Data Gathering SVGee, Savings factor for installed lighting control (percent of time the lights are off) NoneBased on meteringEDC Data GatheringDefault: See REF _Ref413750639 \h \* MERGEFORMAT Table 3421 SVGbase, Baseline savings factor (percent of time the lights are off)NoneRetrofit Default: See REF _Ref413750639 \h \* MERGEFORMAT Table 3421New Construction Default: See REF _Ref413757344 \h \* MERGEFORMAT Table 3151432CF, Demand Coincidence factorFactor DecimalBased on meteringEDC Data GatheringBy building type and sizeSee REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36HOU, Hours of Use – the average annual operating hours of the baseline lighting equipment (before the lighting controls are in place), which if applied to full connected load will yield annual energy use. HoursYearBased on meteringEDC Data GatheringBy building type and sizeSee REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36IFenergy,IF, Interactive Energy Factor NoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39By building type and sizeSee REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. It is noted that if site-specific data is used to determine HOU, then the same data must be used to determine the site-specific CF. Similarly, if the default TRM HOU is used, then the default TRM CF must also be used in the savings calculations. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesWilliams, A., Atkinson, B., Garbesi, K., Rubinstein, F., “A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings”, Lawrence Berkeley National Laboratory, September 2011. HYPERLINK "" Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" LightsMeasure NameTraffic LightsTarget SectorGovernment, Non-Profit and InstitutionalMeasure UnitTraffic LightUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 yearsMeasure VintageEarly ReplacementEligibilityThis protocol applies to the early replacement of existing incandescent traffic lights and pedestrian signals with LEDs. New LED traffic signals must comply with ENERGY STAR requirements.AlgorithmsCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support TablekWh=kWbase-kWee×HOU?kWpeak=kWbase-kWee×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 16: Assumptions for LED Traffic SignalsTermUnitValuesSourcekWbase, The connected load of the baseline lighting as defined by project classification.kWVary based on fixture details, See REF _Ref395528376 \h \* MERGEFORMAT Table 3172, 3, 4, 5kWee, The connected load of the post-retrofit or energy-efficient lighting system.kWVary based on fixture details, See REF _Ref395528376 \h \* MERGEFORMAT Table 3172, 3, 4, 5CF, Demand Coincidence Factor DecimalDefault:Red Round: 0.55Yellow Round: 0.02Round Green: 0.43Red Arrow: 0.86Yellow Arrow: 0.08Green Arrow: 0.08Pedestrian: 1.001HOU, Annual hours of useHoursYearDefault:Round Red: 4,818Round Yellow: 175Round Green: 3,767Red Arrow: 7,358Yellow Arrow: 701Green Arrow: 701Pedestrian: 8,7601Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 17: Default Values for Traffic Signal and Pedestrian Signage UpgradesFixture Type% BurnkWbase kWee ?kWpeak?kWhSourcesRound Traffic Signals8" Red55%0.0690.0060.0353045, 28" Yellow2%0.0690.0070.001118" Green43%0.0690.0080.02623012" Red55%0.1500.0060.0796945, 212" Yellow2%0.1500.0120.0032412" Green43%0.1500.0070.061539Turn Arrows8" Red84%0.1160.0050.0938175, 38" Yellow8%0.1160.0140.008718" Green8%0.1160.0060.0097712" Red84%0.1160.0060.0928095, 212" Yellow8%0.1160.0060.0097712" Green8%0.1160.0060.00977Pedestrian Signs (All Burn 100%)9" Hand Only0.1160.0080.1089465, 29" Pedestrian Only0.1160.0060.11096412" Hand Only0.1160.0080.10894612" Pedestrian Only0.1160.0070.10995512" Countdown Only0.1160.0050.11197212" Pedestrian and Hand Overlay0.1160.0070.10995516" Pedestrian and Hand Side by Side0.1160.0080.10894616" Pedestrian and Hand Overlay0.1160.0070.10995516" Hand with Countdown Side-by-side0.1160.0100.10692916" Pedestrian and Hand with Countdown Overlay0.1160.0080.1089465, 4Notes:1) Energy Savings (kWh) are annual per lamp.2) Demand Savings (kWpeak) listed are per lamp.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesPECO Comments on the PA TRM, received March 30, 2009.ITE Compliant LED Signal Modules Catalog by Dialight. HYPERLINK "" RX11 LED Signal Modules Spec Sheet by GE Lighting Solutions, HYPERLINK "" LED Countdown Pedestrian Signals Spec Sheet by GE Lighting Solutions, HYPERLINK "" GE Lighting Product Catalog by GE Lighting Solutions. HYPERLINK "" LED Exit Signs for 2020, HYPERLINK "" . Accessed December 2018.Williams, A., Atkinson, B., Garbesi, K., Rubinstein, F., “A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings”, Lawrence Berkeley National Laboratory, September 2011. Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" Exit Signs Measure NameLED Exit SignsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitLED Exit SignUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life16 yearsMeasure VintageEarly ReplacementEligibilityThis measure includes the early replacement of existing incandescent or fluorescent exit signs with a new LED exit sign. Measure Life15 years Source 1Measure VintageEarly ReplacementEligibilityThis measure includes the early replacement of existing incandescent or fluorescent exit signs with a new LED exit sign. If the exit signs match those listed in REF _Ref534192086 \h Table 317 REF _Ref395528378 \h Table 319, the default savings value for LED exit signs installed cooled spaces can be used without completing Appendix C. REF _Ref395032771 \h Appendix C: Lighting Audit and Design Tool. AlgorithmskWh=kWbase-kWee×HOU×1+IFenergy?kWpeak=kWbase-kWee×CF×1+IFdemand Definition of TermsSee Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications. AlgorithmsThe algorithms shown below can be used to calculate annual energy savings and peak demand savings associated with this measure.kWh=DeltakW×HOU×1+IFenergy?kWpeak=DeltakW×CF×1+IFdemand DeltakW=kWbase-kWeeDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 17: Terms, Values, and References forTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 18: LED Exit Signs Calculation AssumptionsTermUnitValuesSourcekWbase, Connected load of baseline lighting as defined by project classificationkWActual WattageEDC Data GatheringSingle-Sided Incandescent: 0.020Dual-Sided Incandescent: 0.040Single-Sided Fluorescent: 0.009 Dual-Sided Fluorescent: 0.020 REF _Ref395032771 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolkWee, Connected load of the post-retrofit or energy-efficient lighting kWActual WattageEDC Data GatheringSingle-Sided: 0.002 Dual-Sided: 0.004 REF _Ref395032771 \h \* MERGEFORMAT Appendix C: Lighting Audit and Design ToolTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 19: LED Exit Signs Calculation AssumptionsTermUnitValuesSourceCF, Demand Coincidence Factor Decimal1.01HOU, Hours of Use – the average annual operating hours of the baseline lighting equipment.HoursYear8,7601IFenergy, Interactive HVAC Energy Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary energy savings in cooling required which results from decreased indoor lighting wattage.NoneSee: REF _Ref395522049 \h \* MERGEFORMAT Table 38 REF _Ref395522049 \h \* MERGEFORMAT Table 38IFdemand, Interactive HVAC Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from decreased indoor lighting wattage.NoneSee: REF _Ref395522049 \h \* MERGEFORMAT Table 38 REF _Ref395522049 \h \* MERGEFORMAT Table 38Default SavingsSingle-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled SpaceskWh=176 kWh?kWpeak=0.024 kWDual-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled SpaceskWh=353 kWh?kWpeak=0.048 kWSingle-Sided LED Exit Signs replacing Fluorescent Exit Signs in Cooled SpaceskWh=69 kWh?kWpeak=0.009 kWDual-Sided LED Exit Signs replacing Fluorescent Exit Signs in Cooled SpacesSingle-Sided Incandescent: 0.020Dual-Sided Incandescent: 0.040Single-Sided Fluorescent: 0.009Dual-Sided Fluorescent: 0.020Appendix CkWee, Connected load of the post-retrofit or energy-efficient lighting kWActual WattageEDC Data GatheringSingle-Sided: 0.002Dual-Sided: 0.004Appendix CDeltakW, difference between connected load of baseline and post-retrofit energy efficiency lighting systemkWDefault Unknown Type: 0.0322CF, Coincidence factor Decimal1.03HOU, Hours of Use – the average annual operating hours of the baseline lighting equipment.HoursYear8,7603IFenergy, Interactive Energy FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39Default SavingsSingle-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled SpaceskWh=158 kWhkWh=157 kWh?kWpeak=0.021 kWEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesWI Focus on Energy, “Business Programs: Deemed Savings Manual V1.0.” Update Date: March 22, 2010. LED Exit Lighting. HYPERLINK "" Channel Signage Dual-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled SpaceskWh=315 kWh?kWpeak=0.043 kWSingle-Sided LED Exit Signs replacing Fluorescent Exit Signs in Cooled SpaceskWh=61 kWh?kWpeak=0.008 kWDual-Sided LED Exit Signs replacing Fluorescent Exit Signs in Cooled SpaceskWh=140 kWh?kWpeak=0.019 kWLED Exit Signs replacing unknown baseline exit signskWh=255 kWh?kWpeak=0.034 kWEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Navigant analysis of Phase III evaluation-verified lighting data across all seven Pennsylvania EDC’s.This assumes operation 24 hours per day, 365 days per year. Additionally, the load shape is assumed to be flat, so the coincidence factor is assumed to be 1. LED Channel Signage Measure NameLED Channel SignageTarget SectorCommercial and Industrial EstablishmentsMeasure UnitLED Channel SignageUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageEarly ReplacementChannel signage refers to the illuminated signs found inside and outside shopping malls to identify store names. Typically these signs are constructed from sheet metal sides forming the shape of letters and a translucent plastic lens. Luminance is most commonly provided by single or double strip neon lamps, powered by neon sign transformers. Retrofit kits are available to upgrade existing signage from neon to LED light sources, substantially reducing the electrical power and energy required for equivalent sign luminance. Red is the most common color and the most cost-effective to retrofit, currently comprising approximately 80% of the market. Green, blue, yellow, and white LEDs are also available, but at a higher cost than red LEDs. Eligibility Measure Life15 years Source 1Measure VintageEarly ReplacementChannel signage refers to the illuminated signs found inside and outside shopping malls to identify store names. Typically, these signs are constructed from sheet metal sides forming the shape of letters and a translucent plastic lens. Luminance is most commonly provided by single or double strip neon lamps, powered by neon sign transformers. Retrofit kits are available to upgrade existing signage from neon to LED light sources, substantially reducing the electrical power and energy required for equivalent sign luminance.See Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications.Eligibility This measure includes the replacement of must replace inefficient argon-mercury or neon and/or incandescent channel letter signs with efficient LED channel letter signs. Retrofit kits or complete replacement LED signs are eligible. Retrofit kits or complete replacement LED signs are eligible. Replacement signs cannot use more than 20% of the actual input power of the sign that is replaced. Measure the length of the sign as follows:Measure the length of each individual letter at the centerline. Do not measure the distance between letters.Add up the measurements of each individual letter to get the length of the entire sign being replaced.AlgorithmsThe savings are calculated using the equations below and the assumptions in of the actual input power of the sign that is replaced. Measure the length of the sign as follows:Measure the length of each individual letter at the centerline. Do not measure the distance between letters.Add up the measurements of each individual letter to get the length of the entire sign being replaced.AlgorithmsThe savings are calculated using the equations below and the assumptions in REF _Ref395528501 \h Table 31820. Energy interactive effects are not included in the calculations for outdoor applications.. Indoor applications: kWh =SL×kWbase×1+IFenergy×HOU×1-SVGbase-kWee×1+IFenergy×HOU×1-SVGee?kWpeak= SL×kWbase×1+IFdemand×CF×1-SVGbase-kWee×1+IFdemand×CF×1-SVGeekWh = kWbase×1+IFenergy×HOU×1-SVGbase-kWee×1+IFenergy×HOU×1-SVGee?kWpeak= kWbase×1+IFdemand×CF×1-SVGbase-kWee×1+IFdemand×CF×1-SVGeeOutdoor applications:?kWh= kWbase×HOU×1-SVGbase-kWee×HOU×1-SVGee?kWpeak= kWbase×CF×1-SVGbase-kWee×CF×1-SVGeeDefinition of Terms?kWh= SL×kWbase×HOU×1-SVGbase-kWee×HOU×1-SVGee?kWpeak= SL×kWbase×CF×1-SVGbase-kWee×CF×1-SVGeeDefinition of TermsTable 31820: Terms, Values, and References for LED Channel Signage Calculation AssumptionsTermUnitValuesSourcekWbase, kW of baseline (pre-retrofit) lightingkWEDC Data GatheringDefault: See REF _Ref364073468 \h \* MERGEFORMAT Table 321EDC Data GatheringkWee, kW of post-retrofit or energy-efficient lighting system (LED) lighting per letterkWEDC Data GatheringDefault: See REF _Ref364073468 \h \* MERGEFORMAT Table 321EDC Data GatheringCF, Demand Coincidence Factor DecimalEDC Data GatheringDefault for Indoor Applications: See REF _Ref395162572 \h \* MERGEFORMAT Table 35Default for Outdoor Applications: 0EDC Data Gathering REF _Ref395162572 \h \* MERGEFORMAT Table 35HOU, Annual hours of UseHoursYearEDC Data GatheringDefault: See REF _Ref395162572 \h \* MERGEFORMAT Table 35EDC Data Gathering REF _Ref395162572 \h \* MERGEFORMAT Table 35IFdemand, Interactive HVAC Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from decreased indoor lighting wattage.NoneSee REF _Ref395522049 \h \* MERGEFORMAT Table 381IFenergy, Interactive HVAC Energy Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary energy savings in cooling required which results from decreased indoor lighting wattage.NoneSee REF _Ref395522049 \h \* MERGEFORMAT Table 381SVGbase, Savings factor for existing lighting control (percent of time the lights are off), typically manual switch.NoneDefault: See REF _Ref373942903 \h \* MERGEFORMAT Table 34 REF _Ref373942903 \h \* MERGEFORMAT Table 34SVGee , Savings factor for new lighting control (percent of time the lights are off).NoneDefault: See REF _Ref373942903 \h \* MERGEFORMAT Table 34 REF _Ref373942903 \h \* MERGEFORMAT Table 34Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 21: SL, Sign lengthLinear ftEDC Data GatheringEDC Data GatheringkWbase, kW of baseline lighting systemkW/Linear ftEDC Data GatheringDefault: 0.0457 (Red LED systems only)EDC Data Gathering1kWee, kW of post-retrofit or energy-efficient lighting systemkW/Linear ftEDC Data GatheringDefault: 0.00127 (Red LED systems only)EDC Data Gathering1CF, Coincidence factor DecimalEDC Data GatheringDefault for Indoor Applications: REF _Ref395162572 \h \* MERGEFORMAT Table 35Default for Outdoor Applications: 0EDC Data Gathering REF _Ref395162572 \h \* MERGEFORMAT Table 35HOU, Annual hours of UseHoursYearEDC Data GatheringDefault: REF _Ref395162572 \h \* MERGEFORMAT Table 35EDC Data Gathering REF _Ref395162572 \h \* MERGEFORMAT Table 35IFenergy, Interactive Energy FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39SVGbase, Savings factor for existing lighting control (percent of time the lights are off), typically manual switch.NoneDefault: REF _Ref373942903 \h \* MERGEFORMAT Table 34 REF _Ref373942903 \h \* MERGEFORMAT Table 34SVGee, Savings factor for new lighting control (percent of time the lights are off).NoneDefault: REF _Ref373942903 \h \* MERGEFORMAT Table 34 REF _Ref373942903 \h \* MERGEFORMAT Table 34Power demand of baseline (neon and argon-mercury) and energy-efficient (LED) signs Power Demand (kW/letter)Power Demand (kW/letter)Sign HeightNeonRed LEDArgon-mercuryWhite LED≤ 2 ft.0.0430.0060.0340.004> 2 ft.0.1080.0140.0860.008Default SavingsThere are no default savings for this measure. Evaluation Protocol For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. It is noted that if site-specific data is used to determine HOU, then the same data must be used to determine the site-specific CF. Similarly, if the default TRM HOU is used, then the default TRM CF must also be used in the savings calculations. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.Sources1) Southern California Edison Company, LED Channel Letter Signage (Red), Work Paper SCE13LG052, Revision 1, February 2, 2016.Efficiency Vermont. Technical Reference User Manual: Measure Savings Algorithms and Cost Assumptions (July 2008).LED Refrigeration Display Case Lighting Measure NameLED Refrigeration Display Case LightingTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigeration Display Case LightingUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life8 years Source 1Measure VintageEarly ReplacementThis protocol applies to LED lamps with and without motion sensors installed in vertical display refrigerators, coolers, and freezers replacing T8 or T12 linear fluorescent lamps. The LED lamps produce less waste heat than the fluorescent baseline lamps, decreasing the cooling load on the refrigeration system and energy needed by the refrigerator compressor. Additional savings can be achieved from the installation of motion sensors which dim the lights when the space is unoccupied. See Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications. EligibilityThis measure is targeted to non-residential customers who install LED case lighting with or without motion sensors on existing refrigerators, coolers, and freezers - specifically on vertical displays. The baseline equipment is assumed to be cases with uncontrolled T8 or T12 linear fluorescent lamps. AlgorithmsSavings and assumptions are based on a per door basis. kWh=WATTSbase-WATTSee 1,000WATTSbase-WATTSee 1000× Ndoors ×HOURS ×1+ IFenergy1+ IF?kWpeak=WATTSbase-WATTSee 1,000WATTSbase-WATTSee 1000× Ndoors ×1+ IFdemand××1+ IF× CFDefinition of TermsTable 31922: Terms, Values, and References for: LED: Refrigeration Case Lighting – Values and ReferencesTermUnitValuesSourceWATTSbase, Connected wattage of baseline fixtures for each doorWEDC Data GatheringEDC Data GatheringWATTSee, Connected wattage of efficient fixtures for each doorWEDC Data GatheringEDC Data GatheringNdoors, Number of doorsNoneEDC Data GatheringEDC Data GatheringHOURS, Annual operating hoursHoursYearEDC Data GatheringDefault: 6,4712051IFenergy, Interactive Energy FactorIF, Interactive Effects factor for energy to account for cooling savings from efficient lightingNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38Refrigerator and cooler: 0.29Freezer: 0.50 REF _Ref411601259 \h \* MERGEFORMAT Table 382IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 REF _Ref411601259 \h \* MERGEFORMAT Table 38CF, Coincidence factorDecimal0.9992231,0001000, Conversion factor from watts to kilowatts WkW1,0001000Conversion FactorDefault SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesTheobald, M. A., Emerging Technologies Program: Application Assessment Report #0608, LED Supermarket Case Lighting Grocery Store, Northern California, Pacific Gas and Electric Company, January 2006. < HYPERLINK "" ;. Assumes 6,205 annual operating hours and 50,000 lifetime hours. Most case lighting runs continuously (24/7) but some can be controlled. 6,205 annual hours of use can be used to represent the mix. Using grocery store hours of use (4,660 hr) is too conservative since case lighting is not tied to store lighting. HYPERLINK "" . Assumes 6,471 annual operating hours and 50,000 lifetime hours. Note that 6,471 is the assumed HOU for general service lighting in grocery settings. Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" . Lighting Improvements for Midstream Delivery ProgramsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitLighting EquipmentMeasure LifeVariableMeasure VintageReplace on burnout or Early ReplacementMid-Stream Lighting OverviewSignificant changes in the lighting industry in recent years, particularly related to LED lamp products, have created an opportunity for utility programs to engage directly with commercial lighting suppliers to increase the adoption of energy efficient lighting technologies. In this new environment, it is imperative that utility programs are accelerating sales of qualifying products and that the program design will support cost-effective energy savings.Lighting Improvements for Midstream Delivery Programs will offer incentives on eligible products sold to trade allies and customers through commercial sales channels such as distributors of lighting products. This complements other delivery channels (such as downstream rebates to trade allies and customers) by providing incentives to encourage distributors to stock, promote, and sell more efficient lighting. Midstream Delivery Programs should be used for one-for-one fixture replacement; if fixtures are being removed and not replaced, the contractor should go through the downstream program and complete Appendix C.This protocol applies to efficient lighting delivered through a midstream channel. Code minimum baseline (where applicable) and least efficient readily available (replace on burnout) product were used to determine baseline wattage. Eligibility Measures covered by the Lighting Improvements for Midstream Delivery Programs protocol include fixture, lamp, or lamp and ballast replacement, with or without integrated controls, in existing commercial and industrial customers’ facilities. The protocol is used for programs where EDCs pay incentives to qualified midstream participants including but not limited to distributors, for eligible LED lamps and fixtures. Retrofit measures where incentives are paid to customers or trade allies are covered by the Lighting Improvements protocol. New construction measures are covered by the New Construction Lighting protocol and excluded here. Lamps and fixtures included in this protocol are categorized as follows: Omnidirectional, directional, and decorative screw-based lamps LED lamps and fixturesHighbay and lowbay fixturesHighbay and lowbay fixtures with integrated controlsExterior area and wall pack fixturesParking garage lightingSee Appendix E for general eligibility requirements for solid state lighting products in commercial and industrial applications.AlgorithmsFor all lighting fixture improvements (without control improvements), the following algorithms apply:kWh=kWbase×1+SVGbase-kWee×1+SVGee× HOU×1+IFenergy×ISR?kWpeak=kWbase×1+SVGbase-kWee×1+SVGee× CF×1+IFdemand×ISRDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 20: Terms, Values, and References for Lighting Improvements for Midstream Delivery ProgramsTermUnitValuesSourcekWbase, Wattage of baseline lighting kWDefault: REF _Ref531603585 \h \* MERGEFORMAT Table 321, REF _Ref531603593 \h \* MERGEFORMAT Table 322, REF _Ref531603598 \h \* MERGEFORMAT Table 323, and REF _Ref531603606 \h \* MERGEFORMAT Table 324 REF _Ref531603585 \h \* MERGEFORMAT Table 321, REF _Ref531603593 \h \* MERGEFORMAT Table 322, REF _Ref531603598 \h \* MERGEFORMAT Table 323, and REF _Ref531603606 \h \* MERGEFORMAT Table 324kWee, Wattage of incentivized lighting kWEDC Data GatheringEDC Data GatheringHOU, Hours of Use – the average annual operating hours of the lighting equipment, which if applied to full connected load will yield annual energy use.HoursYearDefault Screw-based Bulbs: REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service: REF _Ref413750906 \h \* MERGEFORMAT Table 36Default Street Lighting: REF _Ref411599608 \h \* MERGEFORMAT Table 37EDC Data GatheringIf building type unknown: 2,500 hours REF _Ref413750649 \h \* MERGEFORMAT Table 35, REF _Ref413750906 \h \* MERGEFORMAT Table 36, and REF _Ref411599608 \h \* MERGEFORMAT Table 37EDC Data GatheringCF, Coincidence Factor DecimalDefault Screw-based Bulbs: REF _Ref413750649 \h \* MERGEFORMAT Table 35Default Other General Service: REF _Ref413750906 \h \* MERGEFORMAT Table 36If building type is unknown: 0.60 REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36SVGbase, Savings factor for existing lighting control (percent of time the lights are off)NoneDefault: 3.47%17SVGee, Savings factor for integrated lighting control (percent of time the lights are off)NoneEDC Data Gathering Unknown or Manual Switch = 3.47% Occupancy Sensors = 24% Photosensors or Time Clocks = 28% Combination (Occupancy and personal tuning /daylighting, dimming and occupancy) = 38%1, 2, 3, 17IFenergy, Interactive Energy FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39IFdemand, Interactive Demand FactorNoneDefault: REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39 REF _Ref411601259 \h \* MERGEFORMAT Table 38 and REF _Ref413751106 \h \* MERGEFORMAT Table 39ISR, In Service Rate, the fraction of incentivized lamps or fixtures that are installed within three years of purchase%EDC Data GatheringDefault = 98%4 REF _Ref531603585 \h Table 321, REF _Ref533786967 \h Table 322, REF _Ref531603598 \h Table 323, and REF _Ref531603606 \h Table 324 are arranged by lamp type. When the lamp type is covered by codes or standards, those code/standard wattages apply. For lamps not covered by codes/standards, baseline wattage is the least-efficient, commercially-available, commonly-installed technology. The baseline wattage for LED lamps and fixtures measures is the wattage for the least efficient, standards compliant equipment commonly available in the market.Efficient product wattages are manufacturer published values as collected by EDCs and ICSPs. HOU and CF values in REF _Ref413750649 \h \* MERGEFORMAT Table 35 and REF _Ref413750906 \h \* MERGEFORMAT Table 36 use building types or EDC data gathering. Building type information must be collected by EDCs and ICSPs for all projects with a change in connected load above 20 KW.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 21: Baseline Wattage, Omnidirectional LampsEfficient Lamp or FixtureMinimum LumenMaximum LumenIncandescent Equivalent (For Reference Only)Wattsbase 2021-2026SourceOmnidirectional, General Service Lamp, Screw-based25030925255, 6, 731044925845074940137501,04960201,0501,48975281,4901,999100392,0002,600125512,6013,000150623,0013,300200703,3013,9992002004,0006,000300300Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 22: Baseline Wattage, Decorative LampsEfficient Lamp or FixtureMinimum LumenMaximum LumenIncandescent Equivalent (For Reference Only)Wattsbase 2021-2026SourceDecorative, Non-Globe, Screw-based708910105, 6, 7 901491515150299252530030940293104994095006996013Decorative, Globe, Screw-based25030925255, 6, 731034925735049940950057460125756497514650749100167501,049100201,0501,30015026Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 23: Baseline Wattage, Directional LampsEfficient Lamp or FixtureMinimum LumenMaximum LumenIncandescent Equivalent (For Reference Only)Wattsbase 2021-2026SourceReflector Lamp; R, ER, BR, with screw-based, >=2.25" diameter40047240105, 6, 7?4735244511525714501471593765189381,25975241,2601,39990301,4001,739100351,7402,174120432,1752,624150532,6252,999175623,0003,300200703,3014,500200200Reflector Lamp; R, ER, BR, with screw-based, diameter <2.25"4004494095, 6, 7?450499451150064950136501,1996521ER30, BR30, BR40, or ER40 4004494095, 6, 7?450499451150064950136501,1996521R20 4004494095, 6, 7?4507194513Reflector Lamp; PAR, MR, MRX400472Custom105, 6, 7?4735241152571414715937189381,259241,2601,399301,4001,739351,7402,174432,1752,624532,6252,999623,0003,300703,3014,500200All reflector lamps < 400 lumen20030920205, 6, 7?310399308Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 24: Baseline Wattage, Linear Lamps & Fixtures, HID Interior and Exterior FixturesEfficient Lamp or FixtureMinimum LumenMaximum LumenWattsbaseNoteSourceLinear Lamp, 2 ft16.5Baseline is standard T8 lamp adjusted for fixture and ballastAppendix C; 174 ft 2 lamp T8 fixture 59 watt/2 = 29.5 watt / lampLinear Lamp, < 3,200 lumen, 4 ft??29.5Baseline is standard T8 lamp adjusted for fixture and ballastLinear Lamp, ≥ 3,200 lumen, 4 ft??54Baseline is T5 HOLinear Lamp, 5 ft 40Baseline is standard T8Linear Lamp, 6 ft 65Baseline is standard T8Linear Lamp, 8 ft 4,00059Baseline is standard T8Linear Lamp, 8 ft HO4,00186Baseline is HO T8Linear LED Fixture, 2 ft 1,5003,50033Baseline is standard 2L T8Linear LED Fixture Max Lumen = Number lamps x Lumen Output x Fixture Efficiency x Ballast Factor; where 4' T8 mean lumen = 3,199, fixture efficiency = 74%, ballast factor = 0.905, 9, 10Linear LED Fixture, 2 ft 3,5015,50061Baseline is standard 4L T8Linear LED Fixture, 4 ft < 2,13231Baseline is standard 1L T8Linear LED Fixture, 4 ft 2,1324,26159Baseline is standard 2L T8Linear LED Fixture, 4 ft4,2626,39289Baseline is standard 3L T8Linear LED Fixture, 4 ft 6,3939,400112Baseline is standard 4L T8Linear LED Fixture, 8 ft < 3,29058Baseline is standard 1L T8Linear LED Fixture, 8 ft 3,2916,580109Baseline is standard 2L T8Linear LED Fixture, 8 ft6,5819,870167Baseline is standard 3L T8Linear LED Fixture, 8 ft 9,871219Baseline is standard 4L T8Highbay & Lowbay LED Fixture3,8506,550135Average 150 watt HID lamp/ T8 HLOLED Lumen Equivalent = HID Initial Lamp Lumen x HID LLD at 40% rated life x HID Fixture EfficiencyHID LLD = 75.8%, HID Fixture Efficiency = 80.4%; survey of manufacturer data, MH, PSMH9, 11, 12, 13, 14, 156,5519,300168Average 175 watt HID lamp/ T8 HLO9,30111,150198Average 200 watt HID lamp/ T8 HLO11,15112,200236Average 250 watt HID lamp/ T8 HLO12,20115,550289Average 320 watt HID lamp/ T8 HLO15,55120,100367Average 400 watt HID lamp/ T8 HLO20,10134,700634Average 750 watt HID lamp/ T8 HLO34,70157,250901Average 1,000 watt HID lamp/ T8 HLOExterior Fixture (Pole, Wall Pack or Parking Garage)2504,650133100 watt HID lampLED Lumen Equivalent = HID Initial Lamp Lumen x HID LLD at 40% rated life x HID Fixture Efficiency x DLC adjustmentDLC Adjust = 80/70 lumen/watt where 80 is DLC minimum for indoor highbay, 70 for outdoor, HID LLD = 75.8%, HID Fixture Efficiency = 81.5%; survey of manufacturer data, MH, PSMH, HPS 9, 11, 12, 13, 14, 15, 164,6517,900215175 watt HID lamp7,90111,050295250 watt HID lamp11,05124,700462400 watt HID lamp24,70140,750843750 watt HID lamp40,75154,6501,0901,000 watt HID lampDefault SavingsThere are no default savings associated with this measure.Evaluation ProtocolsAll midstream program evaluations should follow the SWE approved method in the EDC EM&V? plan. This includes baseline selection, hours of use determination, and coincident demand calculations.The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.Sources Williams, A., Atkinson, B., Garbesi, K., Rubinstein, F., “A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings”, Lawrence Berkeley National Laboratory, September 2011. HYPERLINK "" Pennsylvania Statewide Act 129 2014 Commercial & Residential Lighting Metering Study. Prepared for Pennsylvania Public Utilities Commission. January 13, 2015. HYPERLINK "" Vermont Technical Reference User Manual (TRM), March 16, 2015. HYPERLINK "" Illinois Statewide Technical Reference Manual for Energy Efficiency v7.0, 4.5.4 LED Bulbs and Fixtures. HYPERLINK "" Independence and Security Act (“EISA”) of 2007. HYPERLINK "" . EISA requires all general service lamps sold on or after 1/1/2020 to meet efficacy requirements of 45 lm/W.Energy Conservation Program: Energy Conservation Standards for General Service Lamps. 82 Fed. Reg. 12 (January 19, 2017). Federal Register: The Daily Journal of the United States. Amends the definition of general service lamps to cover the vast majority of screw-base lamps (including incandescent reflectors) with initial lumen output of greater than or equal to 310 lumens and less than or equal to 3,300 lumens.ENERGY STAR? Program Requirements for Lamps (Light Bulbs) V2.1. HYPERLINK "" STAR? Lamps Center Beam Intensity Benchmark Tool. HYPERLINK "" Lights Consortium, Qualified Products List, HYPERLINK "" US Department of Energy, CALiPER Benchmark Report. Performance of T12 and T8 Fluorescent Lamps and Troffers and LED Linear Replacement Lamps. Page 5. January 2009. HYPERLINK "" . Lamp and Ballast Catalogue, 2014-2015, Osram, HYPERLINK "" osram-. US Department of Energy, Lumen Maintenance and Light Loss Factors, September 2013, HYPERLINK "" main/publications/external/technical_reports/PNNL-22727.pdfGE Lamps and Ballasts Catalogue, 2015-2016, HYPERLINK "" . Lithonia, 2016, HYPERLINK "" . Eaton Cooper, HYPERLINK "" . DOE LED Lighting Facts, HYPERLINK "" . The Pennsylvania Statewide Act 129 2018 SWE Commercial and Industrial Baseline study, Table 16. On average, 13% of statewide connected load is controlled by advanced controls (occupancy sensors, photocells, EMS, etc.), resulting in a weighted average 3.47% baseline controls factor. Values adopted from Hall, N. et al, New York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in Commercial and Industrial Programs, TecMarket Works, September 1, 2009. HYPERLINK "$FILE/TechManualNYRevised10-15-10.pdf" $FILE/TechManualNYRevised10-15-10.pdf Methodology adapted from Kuiken et al, “State of Wisconsin Public Service Commission of Wisconsin Focus on Energy Evaluation Business Programs: Deemed Savings Parameter Development”, KEMA, November 13, 2009, assuming summer coincident peak period is defined as June through August on weekdays between 3:00 p.m. and 6:00 p.m., unless otherwise noted. HYPERLINK "" HVACHVAC SystemsMeasure NameHVAC SystemsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitHVAC SystemMeasure Life15 years Source 1Unit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageReplace on Burnout, New Construction, or Early ReplacementEligibilityThe energy and demand savings for Commercial and Industrial HVAC systems is determined from the algorithms listed below. This protocol excludes water source, ground source, and groundwater source heat pumps measures that are covered in Section REF _Ref395162895 \r \h 3.2.3. All HVAC applications other than comfort cooling and heating, such as process cooling, are defined as non-standard applications and are ineligible for this measure.AlgorithmsAir Conditioning (includes central AC, air-cooled DX, split systems, and packaged terminal AC)For A/C units < 65,000 BtuhrBtuhr, use SEER to calculate kWh and convert SEER to EER to calculate ?kWpeak using 11.3/13 as the conversion factor. For units rated in both EER and IEER, use IEER for energy savings calculations. kWh=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1EERbase-1EERee×EFLHcool=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1IEERbase-1IEERee×EFLHcool=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1SEERbase-1SEERee×EFLHcool?kWpeak=Btucoolhr×1 kW1,000 W×1EERbase-1EERee×CF=Btucoolhr×1 kW1000 W×1EERbase-1EERee×CFAir Source and Packaged Terminal Heat PumpFor ASHP units < 65,000 BtuhrBtuhr, use SEER to calculate ?kWhcool and HSPF to calculate ?kWhheat. Convert SEER to EER to calculate ?kWpeak using 11.3/13 as the conversion factor. For units rated in both EER and IEER, use IEER for energy savings calculations.kWh=?kWhcool+?kWhheatkWhcool=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1EERbase-1EERee×EFLHcool=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1IEERbase-1IEERee×EFLHcool=Btucoolhr×1 kW1,000 WBtucoolhr×1 kW1000 W×1SEERbase-1SEERee×EFLHcoolkWhheat=Btuheathr×1 kW1,000 WBtuheathr×1 kW1000 W×13.412×1COPbase-1COPee×EFLHheat=Btuheathr×1 kW1,000 WBtuheathr×1 kW1000 W×1HSPFbase-1HSPFee×EFLHheat?kWpeak=Btucoolhr×1 kW1,000 W×1EERbase-1EERee×CF=Btucoolhr×1 kW1000 W×1EERbase-1EERee×CFDefinition of TermsTable 32523: Terms, Values, and References: Variables for HVAC SystemsTerm UnitValuesSourceBtucoolhr, Rated cooling capacity of the energy efficient unitBtuhrNameplate data (AHRI or AHAM)EDC Data GatheringBtuheathr, Rated heating capacity of the energy efficient unitBtuhrNameplate data (AHRI or AHAM)EDC Data GatheringIEERbase, Integrated energy efficiency ratio of the baseline unit.BtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624 REF _Ref275556733 \h \* MERGEFORMAT IEERee, Integrated energy efficiency ratio of the energy efficient unit.BtuhrWNameplate data (AHRI or AHAM)EDC Data GatheringEERbase, Energy efficiency ratio of the baseline unit. For air-source AC and ASHP units < 65,000 Btuhr, SEER should be used for cooling savingsBtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624EERee, Energy efficiency ratio of the energy efficient unit. For air-source AC and ASHP units < 65,000 Btuhr, SEER should be used for cooling savings.BtuhrWNameplate data (AHRI or AHAM)EDC Data GatheringSEERbase, Seasonal energy efficiency ratio of the baseline unit. For units > 65,000 Btuhr, EER should be used for cooling savings. BtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 REF _Ref275556733 \h \* MERGEFORMAT REF _Ref393870871 \h \* MERGEFORMAT Table 324See REF _Ref393870871 \h \* MERGEFORMAT Table 32624 REF _Ref275556733 \h \* MERGEFORMAT SEERee, Seasonal energy efficiency ratio of the energy efficient unit. For units > 65,000 Btuhr, EER should be used for cooling savings.BtuhrWNameplate data (AHRI or AHAM)EDC Data GatheringCOPbase, Coefficient of performance of the baseline unit. For ASHP units < 65,000Btuhr, HSPF should be used for heating savings. NoneEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 REF _Ref275556733 \h \* MERGEFORMAT REF _Ref393870871 \h \* MERGEFORMAT Table 324See REF _Ref393870871 \h \* MERGEFORMAT Table 32624COPee, Coefficient of performance of the energy efficient unit. For ASHP units < 65,000 Btuhr HSPF should be used for heating savings.NoneNameplate data (AHRI or AHAM)EDC Data GatheringHSPFbase, Heating seasonal performance factor of the baseline unit. For units > 65,000 Btuhr, COP should be used for heating savings. BtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624 REF _Ref275556733 \h \* MERGEFORMAT HSPFee, Heating seasonal performance factor of the energy efficiency unit. For units > 65,000 Btuhr, COP should be used for heating savings.BtuhrWNameplate data (AHRI or AHAM)EDC Data GatheringCF, Demand Coincidence Factor DecimalEDC Data GatheringEDC Data GatheringDefault: REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref393870990 \h \* MERGEFORMAT Table 326: Air Conditioning Demand CFs for Pennsylvania CitiesSpace and/or Building TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportAssembly0.530.450.600.720.560.480.52Education - Community College0.490.370.490.530.490.480.52Education - Primary School0.100.070.160.160.170.110.12Education - Relocatable Classroom0.150.110.180.190.200.140.15Education - Secondary School0.110.100.200.210.180.130.17Education - University0.470.380.470.490.470.420.45Grocery0.330.270.240.260.270.210.24Health/Medical - Hospital0.430.370.390.440.390.370.42Health/Medical - Nursing Home0.260.270.300.340.320.280.29Lodging - Hotel0.720.770.780.830.830.730.78Manufacturing – Bio Tech/High Tech0.620.470.610.670.640.540.55Manufacturing – 1 Shift/Light Industrial0.390.310.490.520.420.360.40Multi-Family (Common Areas)0.550.550.550.550.550.550.55Office - Large0.330.320.420.270.350.390.37Office - Small0.310.300.390.270.340.330.36Restaurant - Fast-Food0.360.330.390.470.440.380.42Restaurant - Sit-Down0.390.410.450.530.540.400.48Retail - Multistory Large0.520.420.560.530.510.480.51Retail - Single-Story Large0.500.400.530.630.550.470.47Retail - Small0.530.560.510.550.630.450.50Storage - Conditioned0.180.130.240.300.230.150.20Warehouse - Refrigerated0.500.480.520.530.510.480.5121EFLHcool, Equivalent Full Load Hours for the cooling season – The kWh during the entire operating season divided by the kW at design conditions. HoursYearEDC Data GatheringEDC Data GatheringDefault: values from REF _Ref395530180 \h \* MERGEFORMAT Table 3272521EFLHheat, Equivalent Full Load Hours for the heating season – The kWh during the entire operating season divided by the kW at design conditions. HoursYearEDC Data GatheringEDC Data GatheringDefault: values from REF _Ref393871023 \h \* MERGEFORMAT Table 329272111.3/13, Conversion factor from SEER to EER, based on average EER of a SEER 13 unitNone11.313321,0001000, conversion from watts to kilowattskWWWkW1,0001000Conversion Factor3.412, conversion factor from kWh to kBtu kBtukWh3.412Conversion FactorNote: For water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Table 32624: HVAC Baseline EfficienciesEquipment Type and CapacitySubcategory or Rating ConditionCooling BaselineHeating BaselineSourcePY13-PY14PY15-PY17PY13-PY14PY15-PY17Air-Source Air Conditioners< 65,000 Btu/hBtuhrSplit System13.0 SEER13.0 SEERN/AN/A5Single Package14.0 SEER14.0 SEER> 65,000 Btu/h Btuhr and < 135,000 Btu/hBtuhrSplit System and Single Package11.2 EER11.4 IEER11.7 EERN/AN/A5, 8, 912.9 IEER14.8 EER> 135,000 Btu/h Btuhr and < 240,000 Btu/hBtuhrSplit System and Single Package11.0 EER11.2 IEER11.4 EERN/AN/A5, 8, 912.4 IEER14.2 EER> 240,000 Btu/h Btuhr and < 760,000 Btu/hBtuhrSplit System and Single Package10.0 EER10.1 IEER10.4 EERN/AN/A5, 8, 911.6 IEER13.2 EER> 760,000 Btu/hBtuhrSplit System and Single Package9.7 EER9.8 IEER9.7 EERN/AN/A511.2 IEER11.2 IEERAir-Source Heat Pumps< 65,000 Btu/hBtuhrSplit System14.013 SEER14.0 SEER8.27.7 HSPF8.2 HSPF5Single Package14.0 SEER14.0 SEER8.0 HSPF8.0 HSPF> 65,000 Btu/hBtuhr and < 135,000 Btu/hBtuhrSplit System and Single Package11.0 EER11.2 IEER12.0 EER3.3 COP3.4 COP5, 8, 912.2 IEER14.1 IEER> 135,000 Btu/h Btuhr and < 240,000 Btu/hBtuhrSplit System and Single Package10.6 EER10.6 EER10.7 EERIEER3.2 COP3.3 COP5, 8, 911.6 IEER13.5 IEER> 240,000 Btu/hBtuhrSplit System and Single Package9.5 EER9.95 EER9.6 IEER3.2 COP3.2 COP5, 8, 910.6 IEER12.5 IEERPackaged Terminal Systems (Nonstandard Size) - Replacement , PTAC (cooling)N/A10.9 - (0.213 x Cap / 1,0001000) EER10.9 - (0.213 x Cap / 1,000) EERN/AN/A5PTHP N/A10.8 - (0.213 x Cap / 1,0001000) EER10.8 - (0.213 x Cap / 1,000) EER2.9 - (0.026 x Cap / 1,0001000) COP2.9 - (0.026 x Cap / 1,000) COPPackaged Terminal Systems (Standard Size) – New Construction , PTAC (cooling)N/A14.12.5 - (0 - (0.300.213 x Cap / 1,0001000) EER14.0 - (0.300 x Cap / 1,000) EERN/AN/A5, 8PTHP N/A14.0 - (0.300 x Cap / 1,000) EER14.0 - (0.300 x Cap / 1,000) EER12.3.7 - (0.052213 x Cap / 1,000) COP1000) EER3.72 - (0.052026 x Cap / 1,0001000) COPWater-Cooled Air Conditioners< 65,000 Btu/hBtuhrSplit System and Single Package12.1 EER12.3 IEER12.1 EERN/AN/A512.3 IEER12.3 IEER> 65,000 Btu/hBtuhr and < 135,000 Btu/hBtuhrSplit System and Single Package12.1 EER12.3 IEER12.1 EERN/AN/AN/A13.9 IEER13.9 IEER> 135,000 Btu/hBtuhr and < 240,000 Btu/hBtuhrSplit System and Single Package12.5 EER12.7 IEER12.5 EERN/AN/AN/A13.9 IEER13.9 IEER> 240,000 Btu/hBtuhr and < 760,000 Btu/hBtuhrSplit System and Single Package12.4 EER12.6 IEER12.4 EERN/AN/AN/A> 760,000 Btuhr13.611.0 EER11.1 IEER13.6 IEERN/A> 760,000 Btu/hSplit System and Single Package12.2 EER12.2 EERN/AN/A13.5 IEER13.5 IEEREvaporatively-Cooled Air Conditioners< 65,000 Btu/hBtuhrSplit System and Single Package12.1 EER12.3 IEER12.1 EERN/AN/A512.3 IEER12.3 IEER> 65,000 Btu/hBtuhr and < 135,000 Btu/hBtuhrSplit System and Single Package12.1 EER12.3 IEER12.1 EERN/AN/A12.3 IEER12.3 IEER> 135,000 Btu/hBtuhr and < 240,000 Btu/hBtuhrSplit System and Single Package12.0 EER12.2 IEER12.0 EERN/AN/A12.2 IEER12.2 IEER> 240,000 Btu/hBtuhr and < 760,000 Btu/hBtuhrSplit System and Single Package11.9 EER12.1 IEER11.9 EERN/AN/A12.1 IEER12.1 IEER> 760,000 Btu/hBtuhrSplit System and Single Package11.70 EER11.1 IEER11.7 EERN/AN/A11.9 IEER11.9 IEERNotes: 1) For non-PTAC/PTHP equipment at capacities greater than 65,000 Btu/hNote: For air-source air conditioners and air-source heat pumps, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. 2) For PTAC and PTHP equipment, “Cap” represents the rated cooling capacity of the product in Btu/h. If the unit’s capacity is less than 7,000 Btu/h, 7,000 Btu/h is used in the calculation. If the unit’s capacity is greater than 15,000 Btu/h, 15,000 Btu/h is used in the Calculation.Table 32725: CoolingAir Conditioning EFLHs for Pennsylvania CitiesSpace and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportSourceAssembly7536078201,087706629685Education - Community College/University6406034404363696204786956575577345155945335952Education - OtherPrimary School2672501631541392771853023102553452042732082172392Education - Relocatable Classroom301198326359303229246Education - Secondary School249204327375262219264Education - University677520693773630550595Grocery6545425426364535366384344422Health/Medical - Hospital1,0309779771,0388921,0597881,0221,0132Health - Other/Medical - Nursing Home4773973504815406845114674762Industrial Manufacturing5703613094116166825304454782Institutional/Public Service7535164556078201,0877066296852Lodging - Hotel1,3861,2051,0841,3921,5231,7321,4781,3481,3842Manufacturing – Bio Tech/High Tech785548766858710594627Manufacturing – 1 Shift/Light Industrial355274465506349296329Multi-Family (Common Areas)1,3956545777691,4821,6471,1769911,0526,7Office - Large4584802134333236014127545657497045957214905004662Office - Small435391529653692404442Restaurant - Fast-Food545478574790602524569Restaurant - Sit-Down5505554295483746055135907916326625225195946182Retail - Multistory Large7357635355954648036208077426739116298166946036482Retail - Single-Story Large747574771988738640642Retail - Small6956926529381,036541608Warehouse - OtherStorage - Conditioned17497861142353461921301782Warehouse - Refrigerated3,1303,0483,0103,0803,1633,2003,1163,0943,1352Table 32826: CoolingAir Conditioning Demand CFs for Pennsylvania CitiesSpace and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportSourceAssembly0.530.450.600.720.560.480.52Education - Community College/University0.48490.400.370.38490.48530.51490.480.45520.492Education - OtherPrimary School0.12100.090.070.09160.18160.19170.18110.13120.15Education - Relocatable Classroom0.150.110.180.190.200.140.15Education - Secondary School0.110.100.200.210.180.130.17Education - University0.470.380.470.490.470.420.45Grocery0.330.260.260.270.240.260.270.210.24Health/Medical - Hospital0.430.360.340.370.390.440.390.370.42Health - Other/Medical - Nursing Home0.260.250.230.270.300.340.320.280.29Industrial Manufacturing0.510.370.330.390.550.600.530.450.48Institutional/Public Service0.530.380.340.450.600.720.560.480.52Lodging - Hotel0.720.730.710.770.780.830.830.730.78Manufacturing – Bio Tech/High Tech0.620.470.610.670.640.540.55Manufacturing – 1 Shift/Light Industrial0.390.310.490.520.420.360.40Multi-Family (Common Areas)0.48550.48550.48550.48550.48550.48550.48550.480.484Office - Large0.330.320.16420.260.310.410.270.350.36390.372Office - Small0.310.300.390.270.340.330.36Restaurant - Fast-Food0.380.360.330.370.420.500.490.390.45470.440.380.42Restaurant - Sit-Down0.390.410.450.530.540.400.48Retail - Multistory Large0.520.450.420.46560.530.57510.56480.47510.49Retail - Single-Story Large0.500.400.530.630.550.470.47Retail - Small0.530.560.510.550.630.450.50Warehouse - OtherStorage - Conditioned0.180.110.100.130.240.300.230.150.20Warehouse - Refrigerated0.500.470.450.480.520.530.510.480.51Table 32927: HeatingHeat Pump EFLHs for Pennsylvania CitiesSpace and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportSourceAssembly1,1781,4371,0981,1211,1631,4011,066Education - Community College/University7198169849661,0786208575215527344649776517838246552Education - Primary School795830651557819879543Education - OtherRelocatable Classroom6363609101658637261,0180566661,003741745646884925655Education - Secondary School7521,002710654776893677Education - University621748483407567670527Grocery7331,0681,0685341,2691,2175641,7371,419Health/Medical - Hospital147817195361345418106154Health - Other/Medical - Nursing Home9441,4321,6301,3048548051,0231,193958Industrial Manufacturing406500568473374339400441346Institutional/Public Service1,1781,4891,7191,4371,0981,1211,1631,4011,066Lodging - Hotel2,3713,2193,8463,0772,1592,0172,4112,5912,403Manufacturing - Bio Tech/High Tech178193138111172176141Manufacturing – 1 Shift/Light Industrial633752609567627705550Multi-Family (Common Areas)2773203543222632592642812786, 7Office - Large3212181592925272304221853302272811763442313293402Office - Small423551430376460481448Restaurant - Fast-Food1,1512271,8656272,1091,1121,6870781,0403639931,6121,3402951,5011,241Restaurant - Sit-Down1,0741,7479689081,3161,3901,187Retail - Multistory Large8096871,0858281,221582980447648620632736781587855675Retail - Single-Story Large791979674735849929654Retail - Small9491,133689714875900785Warehouse - OtherStorage - Conditioned8471,1081,2581,1148439009781,008800Warehouse - Refrigerated363613668534307222409439328Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEFLHs and CFs for Pennsylvania are calculated based on Nexant’s eQuest modeling analysis 2014. Average EER for SEER 13 units as calculated by EER = -0.02 × SEER? + 1.12 × SEER based on U.S. DOE Building America House Simulation Protocol, Revised 2010. Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. EFLHs and CFs for Pennsylvania are calculated based on Nexant’s eQuest modeling analysis 2014. Average EER for SEER 13 units as calculated by EER = -0.02 × SEER? + 1.12 × SEER based on U.S. DOE Building America House Simulation Protocol, Revised 2010. HYPERLINK "" C&I Unitary HVAC Load Shape Project Final Report, Version 1.1, KEMA, 2011. HYPERLINK "" Energy Conservation Code 2015, Table C403.2.3(1).ENERGY STAR Air-Source Heat Pump Calculator. US Department of Energy. Updated July 2011.Connecticut’s 2018 Program Savings Document. Eversource Energy and UIL Holdings Corp. December 15, 2017. The EFLH values reported in this document were adjusted using full load hours (FLH) from Source 6 to account for differences in weather conditions. HYPERLINK "" U.S. Department of Energy. 10 CFR Part 431. Energy Efficiency Program for Certain Commercial and Industrial Equipment: Subpart F—Commercial Air Conditioners and Heat Pumps. Tables 3, 4, 7.Federal standards do no establish post-1/1/2023 minimum EER requirements for air-source air conditioners and heat pumps. Minimum EER requirements have been estimated using average EER of units meeting minimum IEER requirements, by type and size category, from the Air-Conditioning, Heating, and Refrigeration Institute (AHRI) Directory of Certified Product Performance. Accessed 1/3/2019. ChillersMeasure NameElectric ChillersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitElectric ChillerUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life20 yearsMeasure VintageReplace on Burnout, New Construction, or Early ReplacementEligibilityThis protocol estimates savings for installing high efficiency electric chillers as compared to chillers that meet the minimum performance allowed by the current federal code. The measurement of energy and demand savings for chillers is based on algorithms with key variables (i.e., Efficiency, Coincidence Factor, and Equivalent Full Load Hours (EFLHs). These prescriptive algorithms and stipulated values are valid for standard commercial applications, defined as unitary electric chillers serving a single load at the system or sub-system level. The savings calculated using the prescriptive algorithms need to be supported by a certification that the chiller is appropriately sized for site design load condition.All other chiller applications, including existing multiple chiller configurations (including redundant or ‘stand-by’ chillers), existing chillers serving multiple load groups, Measure Life15 years Source 1Measure VintageReplace on Burnout, New Construction, or Early ReplacementEligibilityThis protocol estimates savings for installing high efficiency electric chillers as compared to chillers that meet the minimum performance allowed by the current PA Energy Code. The measurement of energy and demand savings for chillers is based on algorithms with key variables (i.e., Efficiency, Coincidence Factor, and Equivalent Full Load Hours (EFLHs). These prescriptive algorithms and stipulated values are valid for standard comfort cooling applications, defined as unitary electric chillers serving a single load at the system or sub-system level. The savings calculated using the prescriptive algorithms need to be supported by a certification that the chiller is appropriately sized for site design load condition.All other chiller applications, including existing multiple chiller configurations (including redundant or ‘stand-by’ chillers), existing chillers serving multiple load groups, and chillers in industrial applications, chillers using glycol, and heat recovery chillers are defined as non-standard applications and must follow a site-specific custom protocol. Situations with existing non-VFD chillers upgrading to VFD chillers may use the protocol algorithm. This protocol does not apply to VFD retrofits to an existing chiller. In this scenario, the IPLV of the baseline chiller (factory tested IPLV) would be known, but the IPLV for the old chiller/new VFD would be unknown. The algorithms, assumptions, and default factors in this section may be applied to new construction applications.AlgorithmsEfficiency ratings in EERkWh= Tonsee×12×1IPLVbase-1IPLVee×EFLH?kWpeak= Tonsee×12×1EERbase-1EERee×CFSituations with existing non-VFD chillers upgrading to VFD chillers may use the protocol algorithm. This protocol does not apply to VFD retrofits to an existing chiller. In this scenario, the IPLV of the baseline chiller (factory tested IPLV) would be known, but the IPLV for the old chiller/new VFD would be unknown. The algorithms, assumptions, and default factors in this section may be applied to new construction applications.AlgorithmsFor Equipment with Efficiency Ratings in EER unitskWh= Tonsee×12×1IPLVbase-1IPLVee×EFLH?kWpeak= Tonsee×12×1EERbase-1EERee×CFFor Equipment with Efficiency Ratingsratings in kW/ton unitskWh= Tonsee×IPLVbase-IPLVee×EFLH?kWpeak=Tonsee×kWtonbase-kWtonee×CF?kWpeak=Tonsee×kWtonbase-kWtonee×CFDefinition of TermsTable 33028: Terms, Values, and References for Electric ChillersChiller VariablesTermUnitValuesSourceTonsee, The capacity of the chiller at site design conditions accepted by the programtonNameplate DataEDC Data Gathering12, conversion factor from tons cooling to kBtu/hrkBtu/hrton12Conversion FactorkWtonbase, Design Rated Efficiency of the baseline chiller. kWtonEarly Replacement: Nameplate DataEDC Data GatheringNew Construction or Replace on Burnout: Default value from REF _Ref395163131 \h \* MERGEFORMAT Table 331See REF _Ref395163131 \h \* MERGEFORMAT Table 331kWtonee, Design Rated Efficiency of the energy efficient chiller from the manufacturer data and equipment ratings in accordance with AHRI Standards.kWtonNameplate Data (AHRI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 331EDC Data GatheringTonsee , The capacity of the chiller at site design conditions accepted by the programtonNameplate DataEDC Data GatheringkWtonbase, Design Rated Efficiency of the baseline chiller. kWtonEarly Replacement: Nameplate DataEDC Data GatheringNew Construction or Replace on Burnout: Default value from REF _Ref395163131 \h \* MERGEFORMAT Table 329See REF _Ref395163131 \h \* MERGEFORMAT Table 329kWtonee, Design Rated Efficiency of the energy efficient chiller from the manufacturer data and equipment ratings in accordance with ARI Standards.kWtonNameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 329EDC Data GatheringEERbase, Energy Efficiency Ratio of the baseline unit. BtuhrWEarly Replacement: Nameplate DataEDC Data GatheringNew Construction or Replace on Burnout: Default value from REF _Ref395163131 \h \* MERGEFORMAT Table 331See REF _Ref395163131 \h \* MERGEFORMAT Table 331EERee, Energy Efficiency Ratio of the efficient unit from the manufacturer data and equipment ratings in accordance with AHRI Standards.BtuhrWNameplate Data (AHRI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 331EDC Data GatheringIPLVbase, Integrated Part Load Value of the baseline unit. BtuhrW or kWtonEarly Replacement: Nameplate DataEDC Data GatheringNew Construction or Replace on Burnout: See REF _Ref395163131 \h \* MERGEFORMAT Table 331See REF _Ref395163131 \h \* MERGEFORMAT Table 331IPLVee, Integrated Part Load Value of the efficient unit.BtuhrW or kWtonNameplate Data (AHRI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 331EDC Data GatheringCF, Coincidence factor DecimalSee REF _Ref395530182 \h \* MERGEFORMAT Table 3332New Construction or Replace on Burnout: Default value from REF _Ref395163131 \h \* MERGEFORMAT Table 329See REF _Ref395163131 \h \* MERGEFORMAT Table 329EERee, Energy Efficiency Ratio of the efficient unit from the manufacturer data and equipment ratings in accordance with ARI Standards.BtuhrWNameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 329EDC Data GatheringIPLVbase, Integrated Part Load Value of the baseline unit. None or kWtonNew Construction or Replace on Burnout: See REF _Ref395163131 \h \* MERGEFORMAT Table 329See REF _Ref395163131 \h \* MERGEFORMAT Table 329IPLVee, Integrated Part Load Value of the efficient unit.None or kWtonNameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in REF _Ref395163131 \h \* MERGEFORMAT Table 329EDC Data GatheringCF, Demand Coincidence Factor DecimalSee REF _Ref395530182 \h \* MERGEFORMAT Table 3311EFLH, Equivalent Full Load Hours – The kWh during the entire operating season divided by the kW at design conditions. The most appropriate EFLH shall be utilized in the calculation.HoursYearBased on Logging, BMS data or ModelingEDC Data GatheringDefault values from REF _Ref394566387 \h \* MERGEFORMAT Table 3322Default values from REF _Ref394566387 \h \* MERGEFORMAT Table 3301Table 33129: Electric Chiller Baseline Efficiencies (IECC 2009)Chiller TypeSizePath APath BSourceAir Cooled Chillers< 150 tonsFull load: 10.100 EERFull load: 9.700 EER3IPLV: 13.700 EERIPLV: 15.800 EER≥ 150 tonsFull load: 10.100 EERFull load: 9.700 EERIPLV: 14.000 EERIPLV: 16.100 EERAir-Cooled Chiller without CondenserAll capacitiesAir-cooled chillers without condensers must be rated with matching condensers and comply with the air-cooled chiller efficiency requirements.Water Cooled Positive Displacement or Reciprocating Chiller< 75 tonsFull load: 0.750 kW/tonFull load: 0.780 kW/tonIPLV: 0.600 kW/tonIPLV: 0.500 kW/ton≥ 75 tons and < 150 tonsFull load: 0.720 kW/tonFull load: 0.750 kW/tonIPLV: 0.560 kW/tonIPLV: 0.490 kW/ton≥ 150 tons and < 300 tonsFull load: 0.660 kW/tonFull load: 0.680 kW/tonIPLV: 0.540 kW/tonIPLV: 0.440 kW/ton≥ 300 tons and < 600 tonsFull load: 0.610 kW/tonFull load: 0.625 kW/tonIPLV: 0.520 kW/tonIPLV: 0.410 kW/ton≥ 600 tonsFull load: 0.560 kW/tonFull load: 0.585 kW/tonIPLV: 0.500 kW/tonIPLV: 0.380 kW/tonWater Cooled Centrifugal Chiller< 150 tonsFull load: 0.610 kW/tonFull load: 0.695 kW/tonIPLV: 0.550 kW/tonIPLV: 0.440 kW/ton≥ 150 tons and < 300 tonsFull load: 0.610 kW/tonFull load: 0.635 kW/tonIPLV: 0.550 kW/tonIPLV: 0.400 kW/ton≥ 300 tons and < 400 tonsFull load: 0.560 kW/tonFull load: 0.595 kW/tonIPLV: 0.520 kW/tonIPLV: 0.390 kW/ton≥ 400 tons and < 600 tonsFull load: 0.560 kW/tonFull load: 0.585 kW/tonIPLV: 0.500 kW/tonIPLV: 0.380 kW/ton≥ 600 tonsFull load: 0.560 kW/tonFull load: 0.585 kW/tonIPLV: 0.500 kW/tonIPLV: 0.380 kW/tonAir Cooled Chillers< 150 tonsFull load: 9.562 EERIPLV: 12.500 EERN/A2>=150 tonsFull load: 9.562 EERIPLV: 12.750 EERN/AWater Cooled Positive Displacement or Reciprocating Chiller< 75 tonsFull load: 0.780 kW/tonIPLV: 0.630 kW/tonFull load: 0.800 kW/tonIPLV: 0.600 kW/ton>=75 tons and < 150 tonsFull load: 0.775 kW/tonIPLV: 0.615 kW/tonFull load: 0.790 kW/tonIPLV: 0.586 kW/ton>=150 tons and < 300 tonsFull load: 0.680 kW/tonIPLV: 0.580 kW/tonFull load: 0.718 kW/tonIPLV: 0.540 kW/ton>=300 tonsFull load: 0.620 kW/tonIPLV: 0.540 kW/tonFull load: 0.639 kW/tonIPLV: 0.490 kW/tonWater Cooled Centrifugal Chiller<300 tonsFull load: 0.634 kW/tonIPLV: 0.596 kW/tonFull load: 0.639 kW/tonIPLV: 0.450 kW/ton>=300 tons and < 600 tonsFull load: 0.576 kW/tonIPLV: 0.549 kW/tonFull load: 0.600 kW/tonIPLV: 0.400 kW/ton>=600 tonsFull load: 0.570 kW/tonIPLV: 0.539 kW/tonFull load: 0.590 kW/tonIPLV: 0.400 kW/tonTable 33230: Chiller EFLHs for Pennsylvania CitiesSpace and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportData Center - No EconomizerEDC Data GatheringData Center - With EconomizerEDC Data GatheringEducation - College/University665416368490696770600524619Education - Other275182161214344389282244316Health - Hospital1,2409358251,1001,3621,5561,1851,1341,208Health - Other459347306408520622472418462Industrial Manufacturing708449395527700780631574614Lodging1,3971,1789881,3171,5111,6541,4321,3521,415Office446334295393521586443410453Retail749518457609836897699659742Space and/or Building TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportEducation - Community College634453661734564502608Education - Secondary School275214344389282244316Education - University695526730805635545629Health/Medical - Hospital1,2401,1001,3621,5561,1851,1341,208Health/Medical - Nursing Home459408520622472418462Lodging - Hotel1,3971,3171,5111,6541,4321,3521,415Manufacturing – Bio Tech/High Tech708527700780631574614Office - Large463411546604451427472Office - Small429374495567434393433Retail - Multistory Large749609836897699659742Table 33331: Chiller Demand CFs for Pennsylvania Cities Space and/or Building TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportEducation - Community College0.430.310.440.470.420.360.43Education - Secondary School0.110.090.180.180.170.120.17Education - University0.400.300.410.440.390.320.37Health/Medical - Hospital0.500.480.500.540.480.480.50Health/Medical - Nursing Home0.240.220.280.300.280.230.26Lodging - Hotel0.620.610.680.690.710.600.68Manufacturing – Bio Tech/High Tech0.530.430.530.580.540.480.50Office - Large0.300.280.360.250.330.300.33Office - Small0.280.260.330.210.300.280.31Retail - Multistory Large0.460.380.540.550.480.430.48Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesNexant’s eQuest modeling analysis 2014.IECC 2009 Table 503.2.3 (7). HYPERLINK "" Water Source and Geothermal Heat Pumps Space and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportData CentersEDC Data GatheringEducation - College/University0.420.280.230.310.430.460.410.340.40Education - Other0.110.080.070.090.180.180.170.120.17Health - Hospital0.500.450.420.480.500.540.480.480.50Health - Other0.240.200.160.220.280.300.280.230.26Industrial Manufacturing0.530.410.330.430.530.580.540.480.50Lodging0.620.590.540.610.680.690.710.600.68Office0.290.240.210.270.350.230.320.290.32Retail0.460.340.280.380.540.550.480.430.48Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Nexant’s eQuest modeling analysis 2014.International Energy Conservation Code 2015. Table C403.2.3(7).Water Source and Geothermal Heat Pumps Measure NameWater Source and Geothermal Heat PumpsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitGeothermal Heat PumpMeasure Life15 years Source 1Unit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageReplace on Burnout, New Construction, or Early ReplacementThis protocol shall apply to ground source, groundwater source, water source heat pumps, and water source and evaporatively cooled air conditioners in commercial applications as further described below. This measure may apply to early replacement of an existing system, replacement on burnout, or installation of a new unit in a new or existing non-residential building for HVAC applications. The base case may employ a different system than the retrofit case. EligibilityIn order for this characterization to apply, the efficient equipment is a high-efficiency groundwater source, water source, or ground source heat pump system that meets or exceeds the energy efficiency requirements of the International Energy Conservation Code (IECC) 20152009, Table 403503.2.3(12). The following retrofit scenarios are considered: Ground source heat pumps for existing or new non-residential HVAC applicationsGroundwater source heat pumps for existing or new non-residential HVAC applicationsWater source heat pumps for existing or new non-residential HVAC applicationsThese retrofits reduce energy consumption by the improved thermodynamic efficiency of the refrigeration cycle of new equipment, by improving the efficiency of the cooling and heating cycle, and by lowering the condensing temperature when the system is in cooling mode and raising the evaporating temperature when the equipment is in heating mode as compared to the base case heating or cooling system. It is expected that the retrofit system will use a similar conditioned-air distribution system as the base case system.This protocol does not apply to heat pump systems coupled with non-heat pump systems such as chillers, rooftop AC units, boilers, or cooling towers. Projects that use unique, combined systems such as these should use a site-specific M&V plan (SSMVP) to describe the particulars of the project and how savings are calculated. All HVAC applications other than comfort cooling and heating, such as process cooling, are defined as non-standard applications and are ineligible for this measure.Definition of Baseline EquipmentIn order for this protocol to apply, the baseline equipment could be a standard-efficiency air source, water source, groundwater source, or ground source heat pump system, or an electric chiller and boiler system, or other chilled/hot water loop system. To calculate savings, the baseline system type is assumed to be an air source heat pump of similar size except for cases where the project is replacing a ground source, groundwater source, or water source heat pump; in those cases, the baseline system type is assumed to be a similar system at code.Table 33432: Water Source or Geothermal Heat Pump Baseline AssumptionsBaseline ScenarioBaseline Efficiency AssumptionsNew ConstructionStandard efficiency air source heat pump systemRetrofitReplacing any technology besides a ground source, groundwater source, or water source heat pumpStandard efficiency air source heat pump systemReplacing a ground source, groundwater source, or water source heat pumpEfficiency of the replaced geothermal system for early replacement only (if known), else code for a similar systemAlgorithmsThere are three primary components that must be accounted for in the energy and demand calculations. The first component is the heat pump unit energy and power, the second is the circulating pump in the ground/water loop system energy and power, and the third is the well pump in the ground/water loop system energy and power. For projects where the retrofit system is similar to the baseline system, such as a standard efficiency ground source system replaced with a high efficiency ground source system, the pump energy is expected to be the same for both conditions and does not need to be calculated. The kWh savings should be calculated using the basic equations below. For baseline units rated in both EER and IEER, use IEER in place of EER where listed in the kWhenergy savings calculations below, and use EER for the kW savings calculations..For air-cooled base case units with cooling capacities less than 65 kBtu/h:kWh= ?kWhcool+?kWhheat+?kWhpump?kWhcool= Btucoolhr×1 kW1,000 W×1SEERbase-1EERee×GSER×EFLHcool= Btucoolhr×1 kW1000 W×1SEERbase×EFLHcool-Btucoolhr×1 kW1000 W×1EERee×GSER×EFLHcool?kWhheat=Btuheathr×1 kW1,000 W×1HSPFbase-1COPee×3.412×EFLHheat= Btuheathr×1 kW1000 W×1HSPFbase×EFLHheat-Btuheathr×1 kW1000 W×1COPee×13.412×EFLHheat?kWhpump=0.746× HPbasemotor×LFbase×1ηbasemotor×HOURSbasepump-HPeemotor×LFee×1ηeemotor×HOURSeepump= HPbasemotor×LFbase×0.746×1ηbasemotor×HOURSbasepump-HPeemotor×LFee×0.746×1ηeemotor×HOURSeepump?kWpeak=?kWpeak cool=?kWpeak cool+?kWpeak pump?kWpeak cool= Btucoolhr×1 kW1,000 W×1EERbase-1EERee×CFcool= Btucoolhr×1 kW1000 W×1EERbase×CFcool-Btucoolhr×1 kW1000 W×1EERee×CFcool?kWpeak pump= 0.746×HPbasemotor×LFbase×1ηbasemotor-HPeemotor×LFee×1ηeemotor ×CFpump= HPbasemotor×LFbase×0.746×1ηbasemotor×CFpump-HPeemotor×LFee×0.746×1ηeemotor×CFpump For air-cooled base case units with cooling capacities equal to or greater than 65 kBtu/h, and all other units: kWh= ?kWhcool+?kWhheat+?kWhpump?kWhcool= Btucoolhr×1 kW1,000 W×1EERbase-1EERee×EFLHcool= Btucoolhr×1 kW1000 W×1EERbase×EFLHcool-Btucoolhr×1 kW1000 W×1EERee×EFLHcool?kWhheat= Btuheathr×1 kW1,000 W×13.412×1COPbase-1COPee×EFLHheat= Btuheathr×1 kW1000 W×1COPbase×13.412×EFLHheat -Btuheathr×1 kW1000 W×1COPee×13.412×EFLHheat?kWhpump= 0.746×HPbasemotor×LFbase×1ηbasemotor×HOURSbasepump-HPeemotor×LFee×1ηeemotor×HOURSeepump= HPbasemotor×LFbase×0.746×1ηbasemotor×HOURSbasepump-HPeemotor×LFee×0.746×1ηeemotor×HOURSeepump?kWpeak=?kWpeak cool=?kWpeak cool+?kWpeak pump?kWpeak cool= Btucoolhr×1 kW1,000 W×1EERbase-1EERee×CFcool= Btucoolhr×1 kW1000 W×1EERbase×CFcool-Btucoolhr×1 kW1000 W×1EERee×CFcool?kWpeak pump= 0.746×HPbasemotor×LFbase×1ηbasemotor-HPeemotor×LFee×1ηeemotor×CFpump= HPbasemotor×LFbase×0.746×1ηbasemotor×CFpump-HPeemotor×LFee×0.746×1ηeemotor×CFpumpDefinition of TermsTable 33533: Terms, Values, and References for: Geothermal Heat PumpsPump– Values and AssumptionsTermUnitValueSourceBtucoolhr, Rated cooling capacity of the energy efficient unitBtuhrBtucoolhrNameplate data (AHRIARI or AHAM)EDC Data GatheringBtuheathr, Rated heating capacity of the energy efficient unitBtuhrBtuheathrNameplate data (AHRIARI or AHAM)Use Btucoolhr if the heating capacity is not knownEDC Data GatheringSEERbase, , the cooling SEER of the baseline unitBtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338 REF _Ref395098669 \h \* MERGEFORMAT Table 336See REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338See REF _Ref395098669 \h \* MERGEFORMAT Table 336IEERbase, Integrated energy efficiency ratio of the baseline unit.BtuhrWEarly Replacement: Nameplate dataEDC Data GatheringDefault: REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624EERbase, the cooling EER of the baseline unitBtuhrWEarly Replacement: Nameplate data= SEERbase X (11.3/13) if EER not availableEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338 REF _Ref395098669 \h \* MERGEFORMAT Table 336See REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338See REF _Ref395098669 \h \* MERGEFORMAT Table 336HSPFbase, Heating Season Performance Factor of the baseline unitBtuhrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338 REF _Ref395098669 \h \* MERGEFORMAT Table 336See REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338See REF _Ref395098669 \h \* MERGEFORMAT Table 336COPbase, Coefficient of Performance of the baseline unitNoneEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 and REF _Ref395098669 \h \* MERGEFORMAT Table 338 REF _Ref395098669 \h \* MERGEFORMAT Table 336See REF _Ref395098669 \h \* MERGEFORMAT Table 33836EERee, the cooling EER of the new ground source, groundwater source, or water source heat pumppumpground being installedBtuhrWNameplate data (AHRIARI or AHAM)= SEERee X (11.3/13) if EER not availableEDC Data GatheringCOPee, Coefficient of Performance of the new ground source, groundwater source, or water source heat pump being installedNoneNameplate data (AHRIARI or AHAM)EDC Data GatheringEFLHcool, Cooling annual Equivalent Full Load Hours EFLH for Commercial HVAC for different occupanciesHoursYearBased on Logging, BMS data or ModelingEDC Data GatheringDefault values from REF _Ref395530180 \h \* MERGEFORMAT Table 3272532EFLHheat, , Heating annual Equivalent Full Load Hours EFLH for Commercial HVAC for different occupanciesHoursYearBased on Logging, BMS data or Modeling NOTEREF _Ref531942609 \h \* MERGEFORMAT 27EDC Data GatheringDefault values from REF _Ref393871023 \h \* MERGEFORMAT Table 3292732CFcool, Demand Coincidence factorFactor for Commercial HVACDecimalSee REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref395540535 \h \* MERGEFORMAT Error! Reference source not found.32CFpump, Demand Coincidence factorFactor for ground source loop pumpDecimalIf unit runs 24/7/365, CF=1.0;If unit runs only with heat pump unit compressor, See REF _Ref524879376 \h \* MERGEFORMAT Table 328 REF _Ref395540535 \h \* MERGEFORMAT Error! Reference source not found.32HPbasemotor, Horsepower of base case ground loop pump motorHPGround source, groundwater source, or water source heat pump baseline: NameplateASHP baseline: 0NameplateEDC Data GatheringLFbase, Load factor of the base case ground loop pump motor; ratio of the peak running load to the nameplate rating of the pump motor.NoneBased on spot metering and nameplateEDC Data GatheringDefault: 75%21ηbasemotor, efficiency of base case ground loop pump motorNoneNameplateEDC Data GatheringIf unknown, assume the federal minimum efficiency requirements in REF _Ref413757759 \h \* MERGEFORMAT Table 3363443ηbasepump, efficiency of base case ground loop pump at design pointNoneNameplateEDC Data GatheringIf unknown, assume program compliance efficiency in REF _Ref288812382 \h \* MERGEFORMAT Table 337See REF _Ref288812382 \h \* MERGEFORMAT Table 337HOURSbasepump, Run hours of base case ground loop pump motorHoursBased on Logging, BMS data or ModelingEDC Data GatheringEFLHcool + EFLHheat Default values from REF _Ref395530180 \h \* MERGEFORMAT Table 32725 and REF _Ref393871023 \h \* MERGEFORMAT Table 3292732HPeemotor, Horsepower of retrofit case ground loop pump motorHPNameplateEDC Data GatheringLFee, Load factor of the retrofit case ground loop pump motor; Ratio of the peak running load to the nameplate rating of the pump motor.NoneBased on spot metering and nameplateEDC Data GatheringDefault: 75%21ηeemotor, efficiency of retrofit case ground loop pump motorNoneNameplateEDC Data GatheringIf unknown, assume the federal minimum efficiency requirements in REF _Ref413757759 \h \* MERGEFORMAT Table 33634 REF _Ref413757759 \h \* MERGEFORMAT Table 336 REF _Ref413757759 \h Table 334ηeepump, efficiency of retrofit case ground loop pump at design pointNoneNameplateEDC Data GatheringIf unknown, assume program compliance efficiency in REF _Ref288812382 \h \* MERGEFORMAT Table 337See REF _Ref288812382 \h \* MERGEFORMAT Table 337HOURSeepump, Run hours of retrofit case ground loop pump motorHoursBased on Logging, BMS data or Modeling NOTEREF _Ref531944384 \h \* MERGEFORMAT 29EDC Data GatheringEFLHcool + EFLHheat NOTEREF _Ref531944347 \h \* MERGEFORMAT 28Default values from REF _Ref395530180 \h \* MERGEFORMAT Table 32725 and REF _Ref393871023 \h \* MERGEFORMAT Table 32927323.412, conversion factor from kWh to kBtu kBtukWh3.412Conversion Factor0.746, conversion factor from horsepower to kWkWhp0.746Conversion FactorGSER , Factor used to determine the SEER of a GSHP based on its EERNoneBtuW?h1.0254Note: For water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Table 33634: Federal Baseline Motor Efficiencies for NEMA Design A and NEMA Design B MotorsMotor HPMotor Nominal Full-Load Efficiencies (percent)2 Poles4 poles6 Poles8 PolesEnclosedOpenEnclosedOpenEnclosedOpenEnclosedOpen177.077.085.585.582.582.575.575.51.584.084.086.586.587.586.578.577.0285.585.586.586.588.587.584.086.5386.585.589.589.589.588.585.587.5588.586.589.589.589.589.586.588.57.589.588.591.791.091.090.286.589.51090.289.591.791.791.091.789.590.21591.090.292.493.091.791.789.590.22091.091.093.093.091.792.490.291.0Table 33735: Ground/Water Loop Pump and Circulating Pump Efficiency HPMinimum Pump Efficiency at Design Point (ηpump)1.565%265%367%570%7.573%1075%1577%2077%Table 33836: Default Baseline Equipment EfficienciesEquipment Type and CapacityCooling BaselineHeating BaselineSourceWater to Air: Water Loop-Source Heat Pumps << 17,000 Btuhr1211.2 EER (860 F entering water)4.32 COP(680 F entering water)6≥> 17,000 Btuhr and << 65,000 Btuhr1312.0 EER (860 F entering water)4.32 COP(680 F entering water)≥ 65,000 Btuhr and < 135,000 Btuhr13.0 EER (860 F entering water)4.3 COP(680 F entering water)Water to Air: Ground Water < 135,000 Btuhr18.0 EER (590 F entering water)3.7 COP(500 F entering water)6Brine to Air: Ground Loop < 135,000 Btuhr14.1 EER (770 F entering fluid)3.2 COP(320 F entering fluid)6Water to Water: Water Loop < 135,000 Btuhr10.6 EER (860 F entering water)3.7 COP(680 F entering water)6Water to Water: Ground Water Source Heat Pumps << 135,000 Btuhr16.32 EER (590 F entering water)3.16 COP(500 F entering water)6Brine to Water: Ground LoopSource Heat Pumps << 135,000 Btuhr12.113.4 EER (770 F entering fluid)2.53.1 COP(320 F entering fluid)6Note: For water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utility Commission. Database for Energy Efficiency Resources 2005.Based on Nexant’s eQuest modeling analysis 2014. “Energy Conservation Program: Energy Conservation Standards for Commercial and Industrial Electric Motors; Final Rule,” 79 Federal Register 103 (29 May 2014). VEIC estimate. Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.California Public Utility Commission. Database for Energy Efficiency Resources 2005.Based on Nexant’s eQuest modeling analysis 2014. “Energy Conservation Program: Energy Conservation Standards for Commercial and Industrial Electric Motors; Final Rule,” 79 Federal Register 103 (29 May 2014). VEIC estimate. Extrapolation of manufacturer data.Ductless Mini-Split Heat Pumps – Commercial < 5.4 tonsInternational Energy Conservation Code 2015. Table C403.2.3(7).Ductless Mini-Split Heat Pumps – Commercial < 5.4 tonsMeasure NameDuctless Mini-Split Heat Pumps – Commercial < 5.4 TonsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitDuctless Heat PumpUnit Energy SavingsVariable based on efficiency of systemsUnit Peak Demand ReductionVariable based on efficiency of systemsMeasure Life15 yearsMeasure VintageReplace on BurnoutENERGY STAR ductless “mini-split” heat pumps (DHP) utilize high efficiency SEER/EER and HSPF energy performance factors of 14.5/12 and 8.2, respectively, or greater. This technology typically converts an electric resistance heated space into a space heated/cooled with a single or multi-zonal ductless heat pump system. EligibilityMeasure Life15 years Source 1Measure VintageReplace on BurnoutENERGY STAR ductless “mini-split” heat pumps (DHP) utilize high efficiency SEER/EER and HSPF energy performance factors of 15/12.5 and 8.5, respectively, or greater. This technology typically converts an electric resistance heated space into a space heated/cooled with a single or multi-zonal ductless heat pump system. EligibilityThis protocol documents the energy savings attributed to ENERGY STAR ductless mini-split heat pumps with energy-efficiency performance of 1514.5/12.5 SEER/EER and 8.52 HSPF or greater with inverter technology.Source 2 The baseline heating system could be an existing electric resistance, a lower-efficiency ductless heat pump system, a ducted heat pump, packaged terminal heat pump (PTHP), electric furnace, or a non-electric fuel-based system. The baseline cooling system could be a standard efficiency heat pump system, central air conditioning system, packaged terminal air conditioner (PTAC), or room air conditioner. The DHP could be a new device in an existing space, a new device in a new space, or could replace an existing heating/cooling device. The DHP systems could be installed as a single-zone system (one indoor unit, one outdoor unit) or a multi-zone system (multiple indoor units, one outdoor unit). In addition, the old systems should be de-energized, completely uninstalled and removed in order to ensure that the full savings is realized. All HVAC applications other than comfort cooling and heating, such as process cooling, are defined as non-standard applications and are ineligible for this measure. AlgorithmsThe savings depend on three main factors: baseline condition, usage, and the capacity of the indoor unit. The algorithms, shown below, are separated into two calculations: single zone and multi-zone ductless heat pumps. Convert SEER to EER to calculate ?kWpeak using 11.3/13 as the conversion factor.The algorithm is separated into two calculations: single zone and multi-zone ductless heat pumps. The savings algorithm is as follows:For heat pump units < 65,000 Btuhr, use SEER to calculate ?kWhcool and HSPF to calculate ?kWhheat. Convert SEER to EER to calculate ?kWpeak using 11.3/13 as the conversion factor.Single Zone:kWh= ?kWhcool+?kWhheat?kWhheat= CAPYheat1,000 WkWCAPYheat1000 WkW×1HSPFb-1HSPFe×EFLHheat?kWhcool= CAPYcool1,000WkWCAPYcool1000WkW×1SEERb-1SEERe×EFLHcool?kWpeak= CAPYcool1,000WkW×1EERb-1EERe×CF= CAPYcool1000WkW×1EERb-1EERe×CFMulti-Zone:kWh= ?kWhcool+?kWhheat?kWhheat= CAPYheat1,000WkW×1HSPFb-1HSPFe×EFLHheatZONE1 +CAPYheat1,000WkW×1HSPFb-1HSPFe×EFLHheatZONE2 ?+CAPYheat1,000WkW×1HSPFb-1HSPFe×EFLHheatZONEn = CAPYheat1000WkW×1HSPFb-1HSPFe×EFLHheatZONE1 +CAPYheat1000WkW×1HSPFb-1HSPFe×EFLHheatZONE2 +CAPYheat1000WkW×1HSPFb-1HSPFe×EFLHheatZONEn ?kWhcool= CAPYcool1,000WkW×1SEERb-1SEERe×EFLHcoolZONE1+CAPYcool1,000WkW×1SEERb-1SEERe×EFLHcoolZONE2?+CAPYcool1,000WkW×1SEERb-1SEERe×EFLHcoolZONEn= CAPYcool1000WkW×1SEERb-1SEERe×EFLHcoolZONE1+CAPYcool1000WkW×1SEERb-1SEERe×EFLHcoolZONE2+CAPYcool1000WkW×1SEERb-1SEERe×EFLHcoolZONEn?kWpeak= CAPYcool1,000WkW×1EERb-1EERe×CFZONE1+ CAPYcool1,000WkW×1EERb-1EERe×CFZONE2?+ CAPYcool1,000WkW×1EERb-1EERe×CFZONEn= CAPYcool1000WkW×1EERb-1EERe×CFZONE1+ CAPYcool1000WkW×1EERb-1EERe×CFZONE2+ CAPYcool1000WkW×1EERb-1EERe×CFZONEnDefinition of TermsTable 33937: Terms,DHP – Values, and References for DHPTermUnitValuesSourceCAPYcool, The cooling capacity of the indoor unit, given in Btuhr as appropriate for the calculation. This protocol is limited to units < 65,000 Btuhr (5.4 tons)CAPYheat, The heating capacity of the indoor unit, given in Btuhr as appropriate for the calculation.BtuhrNameplateEDC Data GatheringEFLHcool, Equivalent Full Load Hours for coolingEFLHheat, Equivalent Full Load Hours for heating HoursYearBased on Logging, BMS data or ModelingEDC Data Gathering31Default: See REF _Ref395530180 \h \* MERGEFORMAT Table 32725 and REF _Ref393871023 \h \* MERGEFORMAT Table 32927HSPFb, Heating Seasonal Performance Factor, heating efficiency of the baseline unitBtu/hrWStandard DHP: 8.27.7Electric resistance: 3.412ASHP: 8.27.7PTHP (Replacements): 2.9 - (0.026 x Cap / 1,0001000) COPPTHP (New Construction): 3.72 - (0.052026 x Cap / 1,0001000) COPElectric furnace: 3.241For new space, no heat in an existing space, or non-electric heating in an existing space: use electric resistance: 3.4122, 4, 5, 7, 8, 9SEERb, Seasonal Energy Efficiency Ratio cooling efficiency of baseline unitBtu/hrWDHP, ASHP, or central AC: 1413Room AC: 11.3PTAC (Replacements): 10.9 - (0.213 x Cap / 1,0001000) EERPTAC (New Construction): 14.12.5 - (0 - (0.300.213 x Cap / 1,0001000) EERPTHP (Replacements): 10.8 - (0.213 x Cap / 1,0001000) EERPTHP (New Construction): 14.12.3 - (0 - (0.300.213 x Cap / 1,0001000) EERFor new space or no cooling in an existing space: use Room AC: 11.33,4,5, 6, 7HSPFe, Heating Seasonal Performance Factor, heating efficiency of the installed DHPBtu/hrWBased on nameplate information. Should be at least ENERGY STAR.EDC Data GatheringSEERe, Seasonal Energy Efficiency Ratio cooling efficiency of the installed DHPBtu/hrWBased on nameplate information. Should be at least ENERGY STAR.EDC Data GatheringCF, Demand Coincidence factorFactor DecimalDefault: REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref395540535 \h \* MERGEFORMAT Error! Reference source not found.31Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. ENERGY STAR Air Source Heat Pumps and Central Air Conditioners Key Product Criteria. HYPERLINK "" Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesBased on Nexant’s eQuest modeling analysis 2014. COP = HSPF/3.412. HSPF = 3.412 for electric resistance heating, HSPF = 8.27.7 for standard DHP. Electric furnace COP typically varies from 0.95 to 1.00 and thereby assumed a COP 0.95 (HSPF = 3.241). Federal Register, Vol. 66, No. 14, Monday, January 22, 2001/Rules and Regulations, p. 7170-7200. Air-Conditioning, Heating, and Refrigeration Institute (AHRI); the directory of the available ductless mini-split heat pumps and corresponding efficiencies (lowest efficiency currently available). Accessed 12/01/20188/16/2010. HYPERLINK "" Code of ENERGY STAR and Federal Regulations at 10 CFR 430.32(b). AssumesAppliance Standard minimum EERs for a 10,000 Btu/hr unit with louvered sides. Note: As of 1/1/2014, room air conditioners are rated with the Combined Energy Efficiency Ratio (CEER) which incorporated the impact of standby power consumption. Because this metric is not comparable to HYPERLINK "" Average EER for SEER, the previous EER requirement is assumed and converted to 13 units as calculated by EER = -0.02 × SEER? + 1.12 × SEER based on U.S. DOE Building America House Simulation Protocol, Revised 2010. HYPERLINK "" . Package terminal air conditioners (PTAC) and package terminal heat pumps (PTHP) COP and EER minimum efficiency requirements is based on CAPY value. Package terminal air conditioners (PTAC) and package terminal heat pumps (PTHP) COP and EER minimum efficiency requirements is based on CAPY value. If the unit’s capacity is less than 7,000 BtuhrBtuhr, use 7,000 BtuhrBtuhr in the calculation. If the unit’s capacity is greater than 15,000 BtuhrBtuhr, use 15,000 BtuhrBtuhr in the calculation. Fuel Switching: Small Commercial Electric Heat to Natural gas / Propane / Oil HeatInternational Energy Conservation Code 2015. Table C403.2.3(2).U.S. Department of Energy. 10 CFR Part 431. Energy Efficiency Program for Certain Commercial and Industrial Equipment: Subpart F—Commercial Air Conditioners and Heat Pumps. Table 7.Fuel Switching: Small Commercial Electric Heat to Natural gas / Propane / Oil HeatMeasure NameFuel Switching: Small Commercial Electric Heat to Natural Gas / Propane / Oil HeatTarget SectorCommercial and Industrial EstablishmentsMeasure UnitGas, Propane or Oil HeaterMeasure Life15 years Source 1Measure VintageReplace on Burnout, Early Retirement, or New ConstructionUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life20 yearsMeasure VintageReplace on Burnout or Early Retirement or New ConstructionEligibilityThe energy and demand savings for small commercial fuel switching for heating systems is determined from the algorithms listed below. This protocol excludes water source, ground source, and groundwater source heat pumps. The baseline for this measure is an existing commercial facility with an electric primary heating source. The heating source can be electric baseboards, packaged terminal heat pump (PTHP) units, electric furnace, or electric air source heat pump. The retrofit condition for this measure is the installation of a new standard efficiency natural gas, propane, or oil furnace or boiler. This algorithm does not apply to combination space and water heating units. This protocol applies to furnace measures with input rating of less than 225,000 Btuhr and boiler measures with input rating of less than 300,000 BtuhrBtuhr. To encourage adoption of the highest efficiency units, older units which meet outdated ENERGY STAR standards may be incented up through the given sunset dates (see table below). Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 38: Act 129 Sunset Dates for ENERGY STAR FurnacesENERGY STAR Product Criteria VersionENERGY STAR Effective Manufacture DateAct 129 Sunset DateaENERGY STAR Furnaces Version 4.0February 1, 2013N/AENERGY STAR Furnaces Version 3.0February 1, 2012May 31, 2014ENERGY STAR Furnaces Version 2.0, Tier II unitsOctober 1, 2008May 31, 2013a Date after which Act 129 programs may no longer offer incentives for products meeting the criteria for the listed ENERGY STAR version.”EDCs may provide incentives for equipment with efficiencies greater than or equal to the applicable ENERGY STAR requirement per the following table.Table 34039: ENERGY STAR Requirements for Furnaces and BoilersEquipmentENERGY STAR RequirementsSourceGas FurnaceAFUE rating of 95% or greaterFurnace fan must have electronically commutated fan motor (ECM)Less than or equal to 2.0% furnace fan efficiencyLess than or equal to 2.0% air leakage2Oil FurnaceAFUE rating of 85% or greaterFurnace fan must have electronically commutated fan motor (ECM)Less than or equal to 2.0% furnace fan efficiencyLess than or equal to 2.0% air leakageGas BoilerAFUE rating of 90% or greaterSee AFUEfuel values in REF _Ref468463814 \h Table 340: Variables for HVAC Systems3Oil BoilerAFUE rating of 87% or greaterAlgorithms The energy savings are the full energy consumption of the electric heating source minus the energy consumption of the fossil fuel furnace blower motor. The energy savings are obtained through the following formulas shown below. EDCs may use billing analysis using program participant data to claim measure savings, in lieu of using the defaults provided in this measure protocol. Billing analysis should be conducted using at least 12 months of billing data (pre- and post-retrofit).:Electric furnace or air source heat pumpFor ASHP units < 65,000 BtuhrBtuhr, use HSPF instead of COP to calculate ?kWhheat. kWhheat=Btuheathr×1 kW1,000 WBtuheathr×1 kW1000 W×13.412×1COPbase×EFLHheat=Btuheathr×1 kW1,000 WBtuheathr×1 kW1000 W×1HSPFbase×EFLHheatBaseboard heating, packaged terminal heat pumpkWhheat=Btuheathr×EFLHheat3,412 BtukWh×COPbase-HPmotor×746WHP×EFLHheatηmotor×1,000WkW=Btuheathr×EFLHheat3412 BtukWh×COPbase-HPmotor×746WHP×EFLHheatηmotor×1000WkWThe motor consumption of a gas furnace is subtracted from the savings for a baseboard or PTHP heating system, as these existing systems do not require a fan motor while the replacement furnace does (the electric furnace and air source heat pumps require fan motors with similar consumption as a gas furnace and thus there is no significant change in motor load). For boilers, the annual pump energy consumption is negligible (<50 kWh per year) and not included in this calculation.There are no peak demand savings as it is a heating only measure.Although there are significant electric savings, there is also an associated increase in fossil fuel energy consumption. While this fuel consumption does not count against PA Act 129 energy savings, it is expected to be used in the program TRC test. The increased fossil fuel energy is obtained through the following formula:Fuel consumption with fossil fuel furnace or boiler:Fuel Consumption MMBTU= Btufuelhr×EFLHheatAFUEfuel×1,000,000BtuMMBtuDefinition of TermsTable 34140: Terms, Values, and ReferencesVariables for Fuel SwitchingHVAC SystemsTermUnitValuesSourceBtufuelhr, Rated heating capacity of the new fossil fuel unitBtuhrNameplate data (AHRI or AHAM)EDC Data GatheringBtuheathr, Rated heating capacity of the existing electric unitBtuhrNameplate data (AHRI or AHAM)Default: set equal to BtufuelhrEDC Data GatheringCOPbase, Efficiency rating of the baseline unit. For ASHP units < 65,000 Btu/hr, HSPF should be used for heating savingsNoneEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 REF _Ref364437431 \h \* MERGEFORMAT Table 341See REF _Ref393870871 \h \* MERGEFORMAT Table 326See REF _Ref364437431 \h \* MERGEFORMAT Table 341HSPFbase, Heating seasonal performance factor of the baseline unit. For units >65,000 Btu/hr, COP should be used for heating savingsBtu/hrWEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref393870871 \h \* MERGEFORMAT Table 326 REF _Ref364437431 \h \* MERGEFORMAT Table 341See REF _Ref393870871 \h \* MERGEFORMAT Table 326See REF _Ref364437431 \h \* MERGEFORMAT Table 341AFUEfuel, Annual Fuel Utilization Efficiency rating of the fossil fuel unit NoneDefault: REF _Ref531945957 \h \* MERGEFORMAT Table 340Default = >= 95% (natural gas/propane furnace)>= 90% (natural gas/propane steam boiler)>= 90% (natural gas/propane hot water boiler)>= 85% (oil furnace)>= 87% (oil steam boiler)>= 87% (oil hot water boiler)2, 3ENERGY STAR requirementNameplate data (AHRI or AHAM)EDC Data GatheringEFLHheat, Equivalent Full Load Hours for the heating season – The kWh during the entire operating season divided by the kW at design conditionsHoursYearBased on Logging, EMS data or ModelingEDC Data GatheringDefault: values from REF _Ref393871023 \h \* MERGEFORMAT Table 3292741HPMotor, Gas furnace blower motor horsepower HPDefault: ? HP for furnaceAverage blower motor capacity for gas furnace (typical range = ? HP to ? HP)NameplateEDC Data Gatheringηmotor, , Efficiency of furnace blower motorNoneFrom nameplateEDC Data GatheringDefault: 0.50 for furnaceTypical efficiency of ? HP blower motor for gas furnaceTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 41: HVAC Baseline Efficiency ValuesEquipment Type and CapacityHeating BaselineAir-Source Heat Pumps< 65,000 Btuhr7.7 HSPF> 65,000 Btuhr and <135,000 Btuhr3.3 COP> 135,000 Btuhr and < 240,000 Btuhr3.2 COP> 240,000 Btuhr3.2 COPElectric Resistance Heat (Electric Furnace or Baseboard)All sizes1.0 COPPackaged Terminal Systems (Replacements)PTHP2.9 - (0.026 x Cap / 1000) COPPackaged Terminal Systems (New Construction)PTHP3.2 - (0.026 x Cap / 1000) COPDefault SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesDefault SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. ENERGY STAR Program Requirements for Furnaces. HYPERLINK "" STAR Program Requirements for Boilers. HYPERLINK "" Equivalent Full Load Hours (EFLH) for Pennsylvania are calculated based on Nexant’s eQuest modeling analysis 2014.. Small C&/I HVAC Refrigerant Charge CorrectionMeasure NameSmall C/I HVAC Refrigerant Charge CorrectionTarget SectorCommercial and Industrial EstablishmentsMeasure UnitTons of Refrigeration CapacityUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 years Source 1Measure VintageRetrofitThis protocol describes the assumptions and algorithms used to quantify energy savings for refrigerant charging on packaged AC units and heat pumps operating in small commercial applications. The protocol herein describes a partially deemed energy savings and demand reduction estimation.EligibilityThis protocol is applicable for small commercial and industrial customers, and applies to documented tune-ups for package or split systems up to 20 tons. All HVAC applications other than comfort cooling and heating, such as process cooling, are defined as non-standard applications and are ineligible for this measure. AlgorithmsThis section describes the process of creating energy savings and demand reduction calculations.Air ConditioningFor A/C units < 65,000 BtuhrBtuhr, use SEER to calculate kWh and convert SEER to EER to calculate kWpeak using 11.3/13 as the conversion factor. For A/C units > 65,000 BtuhrBtuhr, if rated in both EER and IEER, use IEER for energy savings calculations.kWh= EFLHc×CAPYc1,000WkW×1EER×RCF-1EER= EFLHc×CAPYc1000WkW×1EER×RCF-1EERkWh= EFLHc×CAPYc1,000WkW×1SEER×RCF-1SEER= EFLHc×CAPYc1000WkW×1SEER×RCF-1SEER?kWpeak=CF × CAPYc1,000WkW×1EER×RCF-1EER=CF × CAPYc1000WkW×1EER×RCF-1EERHeat PumpsFor Heat Pump units < 65,000 BtuhrBtuhr, use SEER to calculate ?kWhcool and HSPF instead of COP to calculate ?kWhheat. Convert SEER to EER to calculate ?kWpeak using 11.3/13 as the conversion factor. For Heat Pump units > 65,000 BtuhrBtuhr, if rated in both EER and IEER, use IEER to calculate ?kWhcool.: ?kWhcoolkWh=?kWhcool+?kWhheat?kWhcool= EFLHc×CAPYc1,000WkW×1IEER×RCF-1IEER= EFLHc×CAPYc1000WkW×1IEER×RCF-1IEER?kWhcool= EFLHc×CAPYc1,000WkW×1SEER×RCF-1SEER= EFLHc×CAPYc1000WkW×1SEER×RCF-1SEER?kWhheat= EFLHh×CAPYh1,000WkWEFLHh×CAPYh1000WkW×13.412×1COP×RCF-1COP?kWhheat= EFLHh×CAPYh1,000WkW×1HSPF×RCF-1HSPF= EFLHh×CAPYh1000WkW×1HSPF×RCF-1HSPF?kWpeak= Btucoolhr×11000WkW×1EERbase-1EERee×CF= CAPYc1,000WkW×1EER×RCF-1EER×CFDefinition of TermsTable 342: Terms, Values, and References for Refrigerant Charge Correction Calculations AssumptionsTermUnitValuesSourceCAPYc, , Unit capacity for coolingBtuhrFrom nameplateEDC Data GatheringCAPYh, , Unit capacity for heatingBtuhrFrom nameplateEDC Data GatheringEER, Energy Efficiency Ratio. For A/C and heat pump units < 65,000 Btuhr, SEER should be used for cooling savings.Btu/hrWFrom nameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624IEER, Integrated energy efficiency ratio of the baseline unit.Btu/hrWFrom nameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624SEER, Seasonal Energy Efficiency Ratio. For A/C and heat pump units > 65,000 Btuhr, EER should be used for cooling savings.Btu/hrWFrom nameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624HSPF, Heating Seasonal Performance Factor. For heat pump units > 65,000 Btuhr, COP should be used for heating savings.Btu/hrWFrom nameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624COP, Coefficient of Performance. For heat pump units < 65,000 Btuhr, HSPF should be used for heating savings. NoneFrom nameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624EFLHc, , Equivalent Full-Load Hours for mechanical coolingHoursYearDefault: See REF _Ref395530180 \h \* MERGEFORMAT Table 3272521Based on Logging, BMS data or ModelingEDC Data GatheringEFLHh, , Equivalent Full-Load Hours for HeatingHoursYearSee REF _Ref393871023 \h \* MERGEFORMAT Table 3292721RCF, COP Degradation Factor for CoolingNoneSee REF _Ref302742531 \h \* MERGEFORMAT Table 34332CF,CF, Demand Coincidence factorFactor DecimalSee REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref393870990 \h \* MERGEFORMAT Table 326: Air Conditioning Demand CFs for Pennsylvania CitiesSpace and/or Building TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportAssembly0.530.450.600.720.560.480.52Education - Community College0.490.370.490.530.490.480.52Education - Primary School0.100.070.160.160.170.110.12Education - Relocatable Classroom0.150.110.180.190.200.140.15Education - Secondary School0.110.100.200.210.180.130.17Education - University0.470.380.470.490.470.420.45Grocery0.330.270.240.260.270.210.24Health/Medical - Hospital0.430.370.390.440.390.370.42Health/Medical - Nursing Home0.260.270.300.340.320.280.29Lodging - Hotel0.720.770.780.830.830.730.78Manufacturing – Bio Tech/High Tech0.620.470.610.670.640.540.55Manufacturing – 1 Shift/Light Industrial0.390.310.490.520.420.360.40Multi-Family (Common Areas)0.550.550.550.550.550.550.55Office - Large0.330.320.420.270.350.390.37Office - Small0.310.300.390.270.340.330.36Restaurant - Fast-Food0.360.330.390.470.440.380.42Restaurant - Sit-Down0.390.410.450.530.540.400.48Retail - Multistory Large0.520.420.560.530.510.480.51Retail - Single-Story Large0.500.400.530.630.550.470.47Retail - Small0.530.560.510.550.630.450.50Storage - Conditioned0.180.130.240.300.230.150.20Warehouse - Refrigerated0.500.480.520.530.510.480.51211,0001000, convert from watts to kilowattsWkW1,0001000Conversion Factor11.3/13, Conversion factor from SEER to EER, based on average EER of a SEER 13 unitNone11.31343Note: For air-source air conditioners and air-source heat pumps, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 43: Refrigerant charge correction COP degradation factor (RCF) for various relative charge adjustments for both TXV metered and non-TXV units.% of nameplate charge added (removed)RCF (TXV)RCF (Non-TVXOrifice)% of nameplate charge added (removed)RCF (TXV)RCF (Non-TVXOrifice)% of nameplate charge added (removed)RCF (TXV)RCF (Non-TVXOrifice)Source60%68%13%28%95%83%(4%)100%100%359%70%16%27%96%84%(5%)100%99%58%71%19%26%96%85%(6%)100%99%57%72%22%25%97%87%(7%)99%99%56%73%25%24%97%88%(8%)99%99%55%74%28%23%97%89%(9%)99%98%54%76%31%22%98%90%(10%)99%98%53%77%33%21%98%91%(11%)99%97%52%78%36%20%98%92%(12%)99%97%51%79%39%19%98%92%(13%)99%96%50%80%41%18%99%93%(14%)98%96%49%81%44%17%99%94%(15%)98%95%48%82%46%16%99%95%(16%)98%95%47%83%48%15%99%95%(17%)98%94%46%84%51%14%99%96%(18%)98%93%45%85%53%13%100%97%(19%)98%93%44%86%55%12%100%97%(20%)97%92%43%86%57%11%100%98%(21%)97%91%42%87%60%10%100%98%(22%)97%90%41%88%62%9%100%98%(23%)97%90%40%89%64%8%100%99%(24%)97%89%39%89%65%7%100%99%(25%)96%88%38%90%67%6%100%99%(26%)96%87%37%91%69%5%100%100%(27%)96%86%36%91%71%4%100%100%(28%)96%85%35%92%73%3%100%100%(29%)95%84%34%92%74%2%100%100%(30%)95%83%33%93%76%1%100%100%(31%)95%82%32%94%77%(0%)100%100%(32%)95%81%31%94%79%(1%)100%100%(33%)95%80%30%95%80%(2%)100%100%(34%)94%78%29%95%82%(3%)100%100%(35%)94%77%Note: In the table above, “% of nameplate charge added (removed)” is the independent variable.Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Nexant’s eQuest modeling analysis 2014. Small HVAC Problems and Potential Savings Report, California Energy Commission, 2003. HYPERLINK "" Average EER for SEER 13 units as calculated by EER = -0.02 × SEER? + 1.12 × SEER based on U.S. DOE Building America House Simulation Protocol, Revised 2010. HYPERLINK "" HYPERLINK "" ENERGY STAR Room Air ConditionerMeasure NameENERGY STAR Room Air ConditionerTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRoom Air ConditionerUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life912 years Source 1Measure VintageReplace on Burnout, Early Retirement, or New ConstructionEligibilityThis protocol is for ENERGY STAR Version 4.1 room air conditioner units installed in small commercial spaces. All HVAC applications other than comfort cooling and heating, such as process cooling, are defined as non-standard applications and are ineligible for this measure. Only ENERGY STAR units qualify for this protocol.AlgorithmsIf CEER is not available, use EER.Algorithms for annual energy savings and peak demand savings are shown below. kWh=11000× Btucoolhr×1EERbase-1EERee×EFLHcoolkWh=11,000× Btucoolhr11000× Btucoolhr×1CEERbase-1CEERee×EFLHcool×ELFHRAC:CAC?kWpeak=11000× Btucoolhr×1EERbase-1EERee×CF=11,000× Btucoolhr×1CEERbase-1CEERee×CFDefinition of TermsTable 344: Terms, Values, and ReferencesVariables for ENERGY STAR Room Air ConditionersHVAC SystemsTermUnitValuesSourceBtucoolhr, Rated cooling capacity of the energy efficient unit BtuhrNameplate data (AHRI or AHAM)EDC Data GatheringCEERbase, Combined Energy, EERbase , Efficiency ratiorating of the baseline unitNoneBtuhrNew Construction or Replace on Burnout: Default Federal Standard values from REF _Ref374022256 \h \* MERGEFORMAT Table 345 to REF _Ref374009475 \h \* MERGEFORMAT Table 3473, 4See REF _Ref374022256 \h \* MERGEFORMAT Table 345 to REF _Ref374009475 \h \* MERGEFORMAT Table 347Early Replacement: Nameplate dataEDC Data GatheringCEERee, Combined Energy, EERee , Efficiency ratiorating of the energy efficiency unit. BtuhrNoneNameplate data (AHRI or AHAM)EDC Data GatheringCF, DemandCF, Coincidence factorFactor FractionNoneDefault: REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref395540535 \h \* MERGEFORMAT Error! Reference source not found.21EFLHcool, Equivalent Full Load Hours for the cooling season – The kWh during the entire operating season divided by the kW at design conditions.HoursYearBased on Logging, BMS data or ModelingEDC Data GatheringDefault: values from REF _Ref395530180 \h \* MERGEFORMAT Table 3272521EFLHRAC:CAC, RAC ELFH to Central Air Conditioner (CAC) ELFH conversionFraction0.315 REF _Ref374022256 \h \* MERGEFORMAT Table 345 below lists the minimum federal efficiency standards for room air conditioners (effective as of June 1, 2014) and minimum ENERGY STAR efficiency standards for RAC units of various capacity ranges, with and without louvered sides. Units without louvered sides are also referred to as “through the wall” units or “built-in” units. Note that the new federal standards are based on the Combined Energy Efficiency Ratio metricMetric (CEER), which is a metric that incorporates energy use in all modes, including standby and off modes. Table 345: RAC Federal Minimum Efficiency and ENERGY STAR Version 4.10 StandardsCapacity (Btu/h)Federal Standard CEER, with louvered sidesENERGY STAR CEER, with louvered sidesFederal Standard CEER, without louvered sidesENERGY STAR CEER, without louvered sides<< 6,00011.012.110.011.06,000 to 7,9998,000 to 10,99910.912.09.610.611,000 to 13,9999.510.514,000 to 19,99910.711.89.310.220,000 to 24,9999.410.39.410.325,000 to 27,9999.40≥ ≥28,0009.09.99.4 REF _Ref374009459 \h \* MERGEFORMAT Table 346 lists the minimum federal efficiency standards and minimum ENERGY STAR efficiency standards for casement-only and casement-slider RAC units. Casement-only refers to a RAC designed for mounting in a casement window with an encased assembly with a width of ≤ 14.8 inches and a height of ≤ 11.2 inches. Casement-slider refers to a RAC with an encased assembly designed for mounting in a sliding or casement window with a width of ≤ 15.5 inches.Table 346: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.10 Standards CasementFederal Standard CEERENERGY STAR CEEREERCasement-only9.510.5Casement-slider10.411.4 REF _Ref374009475 \h \* MERGEFORMAT Table 347 lists the minimum federal efficiency standards and minimum ENERGY STAR efficiency standards for reverse-cycle RAC units.Table 347: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.10 StandardsCapacity (Btu/h)Federal Standard CEER, with louvered sidesENERGY STAR EER, with louvered sidesFederal Standard CEER, without louvered sidesENERGY STAR EER, without louvered sides<< 14,000N/An/aN/An/a9.310.2≥≥ 14,0008.79.6<< 20,0009.8≥ 10.8N/An/aN/An/a≥≥ 20,0009.310.2Default SavingsThere are no default savings for this measure.Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Based on Nexant’s eQuest Modeling Analysis 2014.Federal standards: U.S. Department of Energy. Federal Register. 164th ed. Vol. 76, August 24, 2011. HYPERLINK "" STAR Program Requirements Product Specification for Room Air Conditioners. HYPERLINK "" Illinois Statewide Technical Reference Manual for Energy Efficiency Version 7.0. Volume 2: Commercial and Industrial Measures. September 28, 2018. HYPERLINK "" Controls: Guest Room Occupancy SensorMeasure NameControls: Guest Room Occupancy SensorTarget SectorCommercial and Industrial EstablishmentsMeasure UnitOccupancy SensorUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageRetrofitThis protocol applies to the installation of a control system in hotel guest rooms to automatically adjust the temperature setback during unoccupied periods. Savings are based on the management of the guest room’s set temperatures and controlling the HVAC unit for various occupancy modes. The savings are per guestroom controlled, rather than per sensor, for multi-room suites.EligibilityThis measure is targeted to hotel customers whose guest rooms are equipped with energy management thermostats replacing manual heating/cooling temperature set-point and fan On/Off/Auto thermostat controls. Acceptable baseline conditions are hotel guest rooms with manual heating/cooling temperature set-point and fan On/Off/Auto thermostat controls. Efficient conditions are hotel/motel guest rooms with energy management controls of the heating/cooling temperature set-points and operation state based on occupancy modes.AlgorithmsEnergy savings estimates are deemed using the tables below. Estimates were derived using an EnergyPlus model of a motel.Source 2. Model outputs were normalized to the installed capacity and reported here as kWh/Ton and coincident peak kW/Ton. Motels and hotels show differences in shell performance, number of external walls per room and typical heating and cooling efficiencies, thus savings values are presented for hotels and motels separately. Savings also depend on the size and type of HVAC unit, and whether housekeeping staff are directed to set-back/turn-off the thermostats when rooms are unrented.kWh=CAPY×ESF * ESF?kWpeak=CAPY×*DSFDefinition of TermsTable 348: Terms,Guest Room Occupancy Sensor – Values, and References for Guest Room Occupancy SensorsTermUnitValuesSourceCAPYCAPY, Cooling capacity of controlled unit in tonstonEDC Data GatheringEDC Data GatheringESFESF, Energy savings factorkWhtonSee REF _Ref395164377 \h \* MERGEFORMAT Table 349 and REF _Ref395164391 \h \* MERGEFORMAT Table 35021DSFDSF, Demand savings factorkWtonSee REF _Ref395164436 \h \* MERGEFORMAT Table 351 and REF _Ref395164442 \h \* MERGEFORMAT Table 35221 Table 349: Energy Savings for Guest Room Occupancy Sensors – Motels HVAC TypeBaselineESF ; Energy Savings Factor(kWh/ton)PTAC with Electric Resistance HeatingHousekeeping Setback559No Housekeeping Setback1,877PTAC with Gas HeatingHousekeeping Setback85No Housekeeping Setback287PTHPHousekeeping Setback260No Housekeeping Setback1,023Table 350: Energy Savings for Guest Room Occupancy Sensors – Hotels HVAC TypeBaselineESF ; Energy Savings Factor(kWh/ton)PTAC with Electric Resistance HeatingHousekeeping Setback322No Housekeeping Setback1,083PTAC with Gas HeatingHousekeeping Setback259No Housekeeping Setback876PTHPHousekeeping Setback283No Housekeeping Setback1,113Central Hot Water Fan Coil with Electric Resistance HeatingHousekeeping Setback245No Housekeeping Setback822Central Hot Water Fan Coil with Gas HeatingHousekeeping Setback182No Housekeeping Setback615Table 351: Peak Demand Savings for Guest Room Occupancy Sensors – MotelsHVAC TypeBaselineDSF ; Demand Savings Factor(kW/ton)PTAC with Electric Resistance HeatingHousekeeping Setback0.10No Housekeeping Setback0.28PTAC with Gas HeatingHousekeeping Setback0.10No Housekeeping Setback0.28PTHPHousekeeping Setback0.10No Housekeeping Setback0.28Table 352: Peak Demand Savings for Guest Room Occupancy Sensors – HotelsHVAC TypeBaselineDSF ; Demand Savings Factor(kW/ton)PTAC with Electric Resistance HeatingHousekeeping Setback0.04No Housekeeping Setback0.10PTAC with Gas HeatingHousekeeping Setback0.03No Housekeeping Setback0.08PTHPHousekeeping Setback0.03No Housekeeping Setback0.09Central Hot Water Fan Coil with Electric Resistance HeatingHousekeeping Setback0.03No Housekeeping Setback0.08Central Hot Water Fan Coil with Gas HeatingHousekeeping Setback0.02No Housekeeping Setback0.06Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesSourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.S. Keates, ADM Associates Workpaper: “Suggested Revisions to Guest Room Energy Management (PTAC & PTHP)”, 11/14/2013 and spreadsheet summarizing the results: ‘GREM Savings Summary_IL TRM_1_22_14.xlsx.’ Five cities in IL were part of this study. Values in this protocol are based on the model for the city of Belleville, IL due to the similarity in the weather heating and cooling degree days with the city of Philadelphia, PA.Controls: EconomizerMeasure NameControls: EconomizerTarget SectorCommercial and Industrial EstablishmentsMeasure UnitEconomizerUnit Energy SavingsVariableUnit Peak Demand Reduction0 kWMeasure Life10 years Source 1Measure VintageReplace on Burnout, New Construction, or RetrofitDual enthalpy economizers regulate the amount of outside air introduced into the ventilation system based on the relative temperature and humidity of the outside and return air. If the enthalpy (latent and sensible heat) of the outside air is less than that of the return air when space cooling is required, then outside air is allowed in to reduce or eliminate the cooling requirement of the air conditioning equipment. Since the economizers will not be saving energy during peak hours, the demand savings are zero.EligibilityThis measure is targeted to non-residential establishments whose HVAC equipment is not equipped with a functional economizer. The baselineBaseline condition is an HVAC unit with no economizer installed or with a non-functional/disabled economizer. The efficient condition is an HVAC unit with an economizer and dual enthalpy (differential) control. New construction installations are only eligible when not already required by IECC 2015 energy code.Efficient condition is an HVAC unit with an economizer and dual enthalpy (differential) control.AlgorithmsAlgorithmsReplace on Burnout or New ConstructionkWh= SF ×AREA × FCHr ×12 kBtu/hrtonEffkWh= SF ×AREA × FCHr ×12 MBhtonEff?kWpeak=0RetrofitkWh=SF ×AREA × FCHr ×12 kBtu/hrtonEffret?kWpeak=0Definition of TermsTable 353: Terms,Economizer – Values, and References for EconomizersTermUnitValuesSourceSF, Savings factor; Annual cooling load savings per unit area of conditioned space in the building when compared with a baseline HVAC system with no economizer. tonsft20.00221AREA, Area of conditioned space served by controlled unitft2EDC Data GatheringEDC Data GatheringFCHr, Free cooling hours with outdoor temperature between 60 F and 70 F. Typical operating hour conditions are defined below with standard climate zones for PA.HoursYearSee REF _Ref392665507 \h \* MERGEFORMAT Table 35432Eff, Efficiency of existing HVAC equipment. Depending on the size and age, this will either be the SEER, IEER, or EER (use EER only if SEER or IEER are not available)BtuhrWMBhkWEDC Data GatheringDefault: REF _Ref393870871 \h \* MERGEFORMAT Table 326See REF _Ref392665473 \h \* MERGEFORMAT Table 355See REF _Ref393870871 \h \* MERGEFORMAT Table 3263Effret, Efficiency of existing HVAC equipment. Depending on the size and age, this will either be the SEER, IEER, or EER (use EER only if SEER or IEER are not available)BtuhrWEDC Data GatheringEDC Data Gathering10.74Table 354: FCHr for PA Climate Zones and Various Operating ConditionsLocationFCHr by Operating ScheduleOperating Schedule1 Shift, 5 days per week2 Shift, 5 days per week3 Shift, 5 days per week24/7Allentown 444 419 691 653 1,119 1057 1,787 1688Binghamton 396 615 997 1,643 Bradford 354 550 892 1,469 Erie 406 384 641 606 1,033 977 1,652 1563Harrisburg 402 377 645 605 1,066 1000 1,861 1746Philadelphia 432 413 663 634 1,098 1050 1,772 1694Pittsburgh 422 401 635 603 997 947 1,708 1622Scranton 487 465 738 705 1,169 1117 1,870 1787Williamsport 407 383 642 605 1,066 1004 1,786 1682Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 55: Default HVAC Efficiencies for Non-Residential BuildingsEquipment Type and CapacityCooling BaselineHeating BaselineAir-Source Air Conditioners< 65,000 Btuhr13.0 SEERN/A> 65,000 Btuhr and <135,000 Btuhr11.2 EER11.4 IEERN/A> 135,000 Btuhr and < 240,000 Btuhr11.0 EER11.2 IEERN/A> 240,000 Btuhr and < 760,000 Btuhr10.0 EER10.1 IEERN/A> 760,000 Btuhr9.7 EER9.8 IEERN/AAir-Source Heat Pumps< 65,000 Btuhr13 SEER7.7 HSPF> 65,000 Btuhr and <135,000 Btuhr11.0 EER11.2 IEER3.3 COP> 135,000 Btuhr and < 240,000 Btuhr10.6 EER10.7 IEER3.2 COP> 240,000 Btuhr9.5 EER9.6 IEER3.2 COPPackaged Terminal Systems (Nonstandard Size) - Replacement , PTAC (cooling)10.9 - (0.213 x Cap / 1000) EERN/APTHP 10.8 - (0.213 x Cap / 1000) EER2.9 - (0.026 x Cap / 1000) COPPackaged Terminal Systems (Standard Size) – New Construction , PTAC (cooling)12.5 - (0.213 x Cap / 1000) EERN/APTHP 12.3 - (0.213 x Cap / 1000) EER3.2 - (0.026 x Cap / 1000) COPWater-Cooled Air Conditioners< 65,000 Btuhr12.1 EER12.3 IEERN/A> 65,000 Btuhr and <135,000 Btuhr12.1 EER12.3 IEERN/A> 135,000 Btuhr and < 240,000 Btuhr12.5 EER12.7 IEERN/A> 240,000 Btuhr and < 760,000 Btuhr12.4 EER12.6 IEERN/A> 760,000 Btuhr11.5 EER11.1 IEERN/AEvaporatively-Cooled Air Conditioners< 65,000 Btuhr12.1 EER12.3 IEERN/A> 65,000 Btuhr and <135,000 Btuhr12.1 EER12.3 IEERN/A> 135,000 Btuhr and < 240,000 Btuhr12.0 EER12.2 IEERN/A> 240,000 Btuhr and < 760,000 Btuhr11.9 EER12.1 IEERN/A> 760,000 Btuhr11.5 EER11.1 IEERN/ANote: For air-source air conditioners, water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults along with required EDC data gathering of customer data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Bell Jr., Arthur A., 2007. HVAC Equations, Data, and Rules of Thumb, second edition, pages 51-52. Assuming 500 CFM/ton (total heat of 300-500 cfm/ton @20F delta) and interior supply flow of 1 CFM/Sq Ft as rule of thumb for all spaces, divide 1 by 500 to get 0.002 ton/Sq Ft savings factor used. This is the assumed cooling load per sq ft of a typical space and what the economizer will fully compensate for during free cooling temperatures.Hours calculated based on local TMY weather data with outdoor temperature between 60°F and 70°F.Pennsylvania Act 129 2018 Non-Residential Baseline Study, HYPERLINK "" Room Air ConditionerBaseline values from IECC 2009, Tables 503.2.3(1), 503.2.3(2), and 503.2.3(3). After Jan 1, 2010 or Jan 23, 2010 as applicable. Integrated Energy Efficiency Ratio (IEER) requirements have been incorporated from ASHRAE 90.1-2007, “Energy Standard for Buildings Except Low-Rise Residential Buildings”, 2008 Supplement (Addendum S: (Tables 6.8.1A and 6.8.1B). IECC 2009 does not present IEER requirements. HYPERLINK "" and VFDsPremium Efficiency Motors Measure NamePremium Efficiency MotorsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitMotorComputer Room Air Conditioner unitUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageReplace on Burnout, New Construction, or Early ReplacementThis protocol builds upon the existing HVAC Systems protocol to include computer room air conditioners, given their specific baseline efficiency requirements. EligibilityThe energy and demand savings for Commercial and Industrial HVAC systems are determined from the algorithms shown below. Newly-installed computer room air conditioner (CRAC) systems that exceed the baseline efficiencies (in SCOP) outlined in REF _Ref466561223 \h Table 356 are eligible for this measure. VFDs and other CRAC measures can be found in other sections of the TRM.AlgorithmsSCOP is the only recognized efficiency metric for data center equipment. Energy and demand savings should be calculated according to the specifications of the newly-installed equipment and the mandated baseline efficiencies listed in REF _Ref466561223 \h Table 356.?kWh=Btucool,sensiblehr×1 kW1,000 W×1 Wh3.412 Btu×1SCOPbase-1SCOPee×EFLHcool?kWpeak=Btucool,sensiblehr×1 kW1,000 W×1 Wh3.412 Btu×1SCOPbase-1SCOPee×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 55: Terms, Values, and References for Computer Room Air ConditionersTerm UnitValuesSourceBtucool,sensiblehr, Rated cooling capacity of the energy efficient unitBtuhrNameplate data (AHRI)EDC Data GatheringSCOPbase, Sensible Coefficient of Performance of the baseline unit.NoneEarly Replacement: Nameplate dataEDC Data GatheringNew Construction or Replace on Burnout: Default values from REF _Ref466561223 \h \* MERGEFORMAT Table 3562SCOPee, Sensible Coefficient of Performance of the energy efficient unit.NoneNameplate data (AHRI)EDC Data GatheringCF, Coincidence factor DecimalDefault = 1.0 or EDC Data Gathering3EFLHcool, Equivalent Full Load Hours for the cooling season – the kWh during the entire operating season divided by the kW at design conditionsHoursYearBased on Logging, BMS data or ModelingEDC Data Gathering1,000, conversion from kilowatts to wattsWkW1,000Conversion Factor13.412, conversion from Btu to watt-hoursWhBtu13.412Conversion FactorTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 56: Computer Room Air Conditioner Baseline EfficienciesEquipment TypeNet Sensible Cooling CapacityaMinimum SCOP-127b EfficiencyDownflow units / Upflow unitsAir conditioners, air-cooled< 65,000 Btuhr2.20 / 2.09≥ 65,000 Btuhr and < 240,000 Btuhr2.10 / 1.99≥ 240,000 Btuhr1.90 / 1.79Air conditioners, water-cooled< 65,000 Btuhr2.60 / 2.49≥ 65,000 Btuhr and < 240,000 Btuhr2.50 / 2.39≥ 240,000 Btuhr2.40 / 2.29Air conditioners, water-cooled with fluid economizer< 65,000 Btuhr2.55 / 2.44≥ 65,000 Btuhr and < 240,000 Btuhr2.45 / 2.34≥ 240,000 Btuhr2.35 / 2.24Air conditioners, glycol-cooled (rated at 40% propylene glycol)< 65,000 Btuhr2.50 / 2.39≥ 65,000 Btuhr and < 240,000 Btuhr2.15 / 2.04≥ 240,000 Btuhr2.10 / 1.99Air conditioners, glycol-cooled (rated at 40% propylene glycol) with fluid economizer< 65,000 Btuhr2.45 / 2.34≥ 65,000 Btuhr and < 240,000 Btuhr2.10 / 1.99≥ 240,000 Btuhr2.05 / 1.94a) Net sensible cooling capacity. The total gross cooling capacity less the latent cooling less the energy to the air movement system. (Total Gross – Latent – Fan Power)b) Sensible coefficient of performance (SCOP-127): a ratio calculated by dividing the net sensible cooling capacity in watts by the total power input in watts (excluding re-heaters and humidifiers) at conditions defined in ASHRAE Standard 127. The net sensible cooling capacity is the gross sensible capacity minus the energy dissipated into the cooled space by the fan system. Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Phase II Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.U.S. Department of Energy. 10 CFR Part 431. Energy Efficiency Program for Certain Commercial and Industrial Equipment: Subpart F—Commercial Air Conditioners and Heat Pumps. Table 12.Xcel Energy, Data Center Efficiency Deemed Savings 2016. HYPERLINK "" Room Air Conditioner/Handler Electronically Commutated Plug FansTarget SectorCommercial and Industrial EstablishmentsMeasure UnitFan Size (HP) InstalledMeasure Life15 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionData centers have significant cooling loads, due to the large internal heat gains from IT equipment. Cooling for these spaces is typically provided by computer room air conditioners (CRAC) or computer room air handlers (CRAH). CRAH units differ from CRAC units by supplying cooling via chilled water instead of direct-expansion.Since CRAH units lack compressors and condensers, fan energy comprises the majority of their energy usage.Source 2 This document is concerned with installing or replacing the existing fans with electronically commutated (EC) plug fans. The term “plug fan” refers to a fan with no housing, typically utilizing an airfoil, backward inclined or backward curved impeller design.Source 3Baseline fans are typically centrifugal, belt-driven fans mounted in the CRAC unit, powered by three-phase AC motors. The proposed upgrade is to replace these with EC plug fans which are direct-driven and can be mounted in-unit or underfloor. Underfloor mounting offers additional energy savings by providing a more efficient airflow path and reducing resistance on the blower.EligibilityThis measure requires the installation of EC plug fans in CRAC and CRAH units. This applies to new construction applications where EC plug fans were specified instead of belt-driven fans or retrofit applications in which conventional, belt-driven fans were replaced with EC plug fans. Installing any mechanism that could potentially modify the airflow of the supply fan on a DX system has potential to freeze the coil. Installation of any ECM on a CRAC unit should be verified with the manufacturer.AlgorithmsThe annual energy and peak demand savings are obtained through the following formulas shown below. These formulas are adopted from Xcel Energy’s Deemed Savings Technical Assumptions for the Data Center Efficiency Program.Source 4kWh=?Fan Power×HOUFan+3,41312,000×ηcooling×HOUFan?kWpeak=?Fan Power×1+3,41312,000×ηcooling×CF?Fan Power=HP×1- CLF×0.746×UFCLF=ηbase fan×ηbase belt×ηbase motorηEC fan×ηEC drive×ηEC motor-UDSFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 57: Terms, Values, and References for CRAC/CRAH EC Plug FansTermUnitValuesSourceηbase fan, Efficiency of baseline centrifugal, forward-curved fansNoneEDC Data GatheringDefault = 53.81%4ηbase belt, Efficiency of baseline beltNoneEDC Data GatheringDefault = 95%6ηbase motor, Efficiency of baseline AC motorNoneEDC Data GatheringDefault = 91.18%4ηEC fan, Efficiency of EC plug fanNoneEDC Data GatheringDefault = 65.97%4ηEC drive, Efficiency of EC motor driveNoneEDC Data GatheringDefault = 99.5%4ηEC motor, Efficiency of EC motorNoneEDC Data GatheringDefault = 88.96%4UDSF, Underfloor distribution savings factorNoneIf fans are located:In Unit = 0%Underfloor = 12.7%5CLF, Comparison Load Factor. This term compares the baseline and EC system efficiencies and accounts for underfloor location (if applicable) to provide an estimate of the load on the EC system.NoneCalculated4ΔFan Power, Fan power reductionkWCalculated4HP, Fan power replacedHPEDC Data Gathering-UF, % of CRAC/CRAH units in useNoneEDC Data GatheringDefault = 83%7ηcooling, Efficiency of cooling systemkW/tonEDC Data GatheringDefault = 0.95*HOUFan, Annual hours of fan operationHours/yearEDC Data GatheringDefault = 8,760**0.746, kilowatt to hp conversion factorkW/HP0.746-3,413, Btu to kWh conversion factorBtu/kWh3,413-12,000, Btu to ton (cooling) conversion factorBtu/ton12,000-CF, Coincidence factorNoneEDC Data GatheringDefault = 1.0*** Assumes an average of air-cooled chillers and DX (all sizes) and water-cooled DX efficiencies. Water-cooled chillers were excluded from the average since they are assumed to be baseline for data centers greater than 1 MW. Source 7, pages 32, 36 and 38.** Assumes data center CRAC/CRAH fans operates continuously. This is consistent with the HVAC hours for data center applications. Additionally, the CRAC/CRAH fans are assumed to operating regardless of economizer operation.Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 58: Default ‘per HP’ Savings for CRAC/CRAH EC Plug FansLocation of Plug FanEnergy Savings (kWh/HP)Peak Demand Reduction (kW/HP)In Unit1,3900.1587Underfloor2,3060.2633If Unknown1,8480.2110Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesU.S. Department of Energy, Energy Savings Potential and Opportunities for High-Efficiency Electric Motors in Residential and Commercial Equipment, December 2013. HYPERLINK "" Network Power, Technical Note: Using EC Plug Fans to Improve Energy Efficiency of Chilled Water Cooling Systems in Large Data Centers, HYPERLINK "" , 2016 ASHRAE Handbook: HVAC Systems and Equipment.Xcel Energy Data Center Efficiency Program, Deemed Savings Technical Assumptions, HYPERLINK "" Note: Using EC Plug Fans to Improve Energy Efficiency of Chilled Water Cooling Systems in Large Data Centers, by Emerson Power Network ( HYPERLINK "" ) [UDSF value derived from EC Plug Fans vs. VFD savings table on page 5, savings from base at 100% speed.]U.S. Department of Energy, Replace V-Belts with Notched or Synchronous Belt Drives, November 2012. HYPERLINK "" Group, Energy Efficiency Baselines for Data Centers, March 1, 2013. HYPERLINK "" (Usage factor assumes 5 of 6 units operating, based on a “Redundancy = N+1” and “Safety factor on capacity = design load * 1.20”)Computer Room Air Conditioner/Handler VSD on AC Fan MotorsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitSize (HP) of FanMeasure Life15 years Source 1Measure VintageRetrofit, New ConstructionData centers have significant cooling loads, due to the large internal heat gains from IT equipment. Cooling for these spaces is typically provided by computer room air conditioners (CRAC) or computer room air handlers (CRAH). CRAH units differ from CRAC units by supplying cooling via chilled water instead of direct-expansion.Since CRAH units lack compressors and condensers, fan energy comprises the majority of their energy usage.Source 2 In addition to saving fan energy, cooling load is also reduced, resulting from the decreased energy consumption by motors within the conditioned space. This measure protocol is concerned with installing or upgrading to variable speed drives (VSDs) on existing CRAC or CRAH units. EligibilityThis measure requires the installation of a VSD to control AC fan motors in CRAC and CRAH units. This applies to new construction and retrofit applications where constant speed AC fan motors are retrofitted with VSD controls. Installing any mechanism that could potentially modify the airflow of the supply fan on a DX system has potential to freeze the coil. Installation of any VSD on a CRAC unit should be verified with the manufacturer.AlgorithmsThe annual energy and peak demand savings are obtained through the following formulas:kWhfan=HP×LFηmotor×0.746×ESF×UF×HOUkWhcooling=?kWhfan×3,41312,000×ηcoolingkWh=?kWhfan+?kWhcoolingkWpeak=?kWhtotalHOU×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 59: Terms, Values, and References for CRAC/CRAH VSD on AC Fan MotorsTermUnitValuesSourceHP, Fan motor powerHPEDC Data Gathering-LF, Load factor of fan motorNoneEDC Data GatheringDefault = 75%4ηmotor, Efficiency of AC motorNoneEDC Data GatheringDefault = 91.18%40.746, HP to kW conversion factorkW/HP0.746-HOU, Annual hours of fan operationHours/year8,7604ESF, Energy savings factorNone0.405UF, % of CRAC/CRAH units in use (usage factor)NoneEDC Data GatheringDefault = 83%43,143, conversion factor from BTU/hr to kWBTU/hr-kW3,143-12,000, conversion factor from BTUs/hr to tons of coolingBTU/hr-ton12,000-CF, Coincidence factorNoneEDC Data GatheringDefault = 14ηcooling, Efficiency of cooling systemkW/tonEDC Data GatheringDefault = 0.953Default SavingsDefault savings for this measure are shown in the table below.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 60: Default Savings for CRAC/CRAH VSD on AC Fan MotorsAnnual Energy Savings (kWh/HP)Peak Demand Reduction (kW/HP)2,2670.2588Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesEfficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. (15 years is given for non-process VSDs.) HYPERLINK "" Technical Note: Using EC Plug Fans to Improve Energy Efficiency of Chilled Water Cooling Systems in Large Data Centers, Emerson Network Power. Page 2. HYPERLINK "" Integral Group, Energy Efficiency Baselines for Data Centers, March 1, 2013. HYPERLINK "" (Usage factor derived from an assumption that 5 of 6 units operating, based on a “Redundancy = N+1” and “Safety factor on capacity = design load * 1.20”. Cooling system efficiency assumes an average of air-cooled chillers and DX (all sizes) and water-cooled DX efficiencies. Water-cooled chillers were excluded from the average since they are assumed to be baseline for data centers greater than 1 MW.)Xcel Energy Data Center Efficiency Program, Deemed Savings Technical Assumptions, HYPERLINK "" Power Research Institute. Energy savings factor comes from a conservative estimate based on reducing fan speed to approximately 85% (0.853= 0.61 under ideal conditions). Supported by EPRI case study: EPRI “was able to reduce is fan power use by 77%.” HYPERLINK "" Fan: High-Volume Low-SpeedTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNumber of Fans InstalledMeasure Life15 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionThis protocol covers energy and demand savings associated with the installation of high-volume low-speed (HVLS) circulating fans to replace conventional circulating fans. HVLS fans generally range from 8 feet to 24 feet in diameter and move more cubic feet of air per Watt than conventional circulating fans.Source 2 This measure is for use in Commercial and Industrial applications only. For Agricultural applications, please refer to TRM Measure REF _Ref533166735 \w \h 4.1.5 REF _Ref533166694 \h High Volume Low Speed Fans.Until recently, there was not a practical standard for determining performance (airflow rate, power consumption, efficiency, thrust or efficacy) of HVLS fans.Source 3 ANSI/AMCA Standard 230-15 Laboratory Methods of Testing Air Circulating Fans for Rating and Certification now provides a uniform testing procedure that includes HVLS fans. However, based on a late-2018 review of product specifications the results of this standard are not yet incorporated into product documentation. EligibilityThis measure requires the installation of HVLS fans (diameters ranging from 8 to 24 feet) in either new construction or retrofit applications where conventional circulating fans are replaced. AlgorithmsThe annual energy and peak demand savings are obtained through the following formulas:?kW=Wconventional-WHVLS1,000kWh= ΔkW x HOU?kWpeak=CF × ?kWDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 61: Terms, Values, and References for HVLS FansTermUnitValuesSourceWconventional, Conventional fan wattageWEDC Data Gathering4Default values in REF _Ref533078660 \h Table 362WHVLS, HVLS fan wattageWEDC Data Gathering4Default values in REF _Ref533078660 \h Table 362HOU, Annual hours of fan operationHours/yearEDC Data Gathering5Default values in REF _Ref533078677 \h Table 3631,000, Conversion factorwattskilowatt1,000-CF, Coincidence factorNoneDefault values in REF _Ref524879376 \h Table 3285Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 62: Default Values for Conventional and HVLS Fan WattagesFan Diameter (ft)WconventionalWHVLS≥ 8 and < 102,227377≥ 10 and < 122,784471≥ 12 and < 143,341565≥ 14 and < 163,898659≥ 16 and < 184,497761≥ 18 and < 205,026850≥ 20 and < 245,555940≥ 246,6131,119Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 63: Default Hours of Use by Building Type and RegionSpace and/or Building TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportEducation - College/University1,3591,4241,4471,3351,2081,1981,2441,3561,250Education - Other9021,0731,1588511,0519911,1571,142894Grocery1,3871,6101,6101,1701,7221,7531,2022,1711,861Health - Hospital1,1771,0581,0481,1331,2531,4041,2061,1281,167Health - Other1,4211,8291,9801,7851,3941,4891,5341,6601,434Industrial Manufacturing9768618768849891,021929886824Institutional/Public Service1,9312,0052,1742,0441,9182,2081,8692,0301,751Lodging3,7574,4244,9304,4693,6823,7493,8893,9393,787Multi-Family (Common Areas)1,6729749311,0911,7451,9061,4401,2721,330Office7783728508348959841,064828806Restaurant1,7012,2942,4832,2001,6301,7841,9722,0231,835Retail1,5441,6201,6861,6001,3901,5431,5971,4581,323Warehouse - Other1,0211,2051,3441,2281,0781,2461,1701,138978Warehouse - Refrigerated3,4933,6613,6783,6143,4703,4223,5253,5333,463Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesState of Wisconsin. Focus on Energy Evaluation, Business Program: Measure Life Study Final Report: August 25, 2009. Appendix B, Pages 65-66. HYPERLINK "" of available HVLS fans from the following manufacturers: Big Ass Fans, Go Fan Yourself, Kelley, MacroAir, Patterson Fan Company and Rite-Hite.Taber, Christian. The Thrust of ANSI/AMCA Standard 230-15, Circulator Fan Performance Testing Standards. ASHRAE Journal, September 2015. HYPERLINK "" wattage information for fan diameters of 8 feet through 14 feet have been extrapolated from existing wattage data in IPL Energy Efficiency Programs 2009 Evaluation, KEMA Inc. Appendix H, Table H-17. February 14, 2012.Hours of use are assumed to match the HOU of Circulating fans (the sum of EFLHHeat and EFLHCool). EFLHs and CFs for Pennsylvania are calculated based on Nexant’s eQuest modeling analysis 2014. Motors and VFDsPremium Efficiency Motors Target SectorCommercial and Industrial EstablishmentsMeasure UnitMotorMeasure Life15 years Source 1Measure VintageReplace on Burnout, New Construction, or Early ReplacementEligibilityFor constant speed and uniformly loaded motors, the prescriptive measurement and verification protocols described below apply to the replacement of old motors with new energy efficient motors of the same rated horsepower and for New Construction. Replacements where the old motor and new motor have different horsepower ratings are considered custom measures. Motors with variable speeds, variable loading, or industrial-specific applications are also considered custom measures. Note that the Coincidence Factor (CF) and Run Hours of Use (RHRS) for motors specified below do not take into account systems with multiple motors serving the same load, such as duplex motor sets with a lead-lag setup. Under these circumstances, a custom measure protocol is required. AlgorithmsThe energy and demand savings for this measure depend on the size and efficiency of the efficient motor, calculated according to the following algorithms: AlgorithmsFrom EDC data gathering calculate kW where:kWh= kWhbase-kWheekWhbase= 0.746×HP×LFηbase×RHRSkWhee= 0.746×HP×LFηee×RHRS?kWpeak= kWbase-kWeekWbase= 0.746×HP×LFηbase×CFkWee= 0.746×HP×LFηee×CFDefinition of TermsRelative to the algorithms in section ( REF _Ref364072379 \r \h 3.3.1), kW values will be calculated for each motor improvement in any project (account number). For the efficiency of the baseline motor, if a new motor was purchased as an alternative to rewinding an old motor, the nameplate efficiency of the old motor may be used as the baseline.Table 36456: Terms, Values, and References: Building Mechanical System Variables for Premium Efficiency MotorsMotor CalculationsTermUnitValueSourceHP, Rated horsepower of the baseline and energy efficient motorHPNameplateEDC Data Gathering0.746, Conversion factor for HP to kWhkWh/HP0.746Conversion factorRHRS, Annual run hours of the motorHoursYearBased on logging, panel data or modelingEDC Data GatheringDefault: REF _Ref275556522 \h \* MERGEFORMAT Table 36759 to REF _Ref393827840 \h \* MERGEFORMAT Table 3716321LF NOTEREF _Ref529972148 \h \* MERGEFORMAT 37,, Load Factor. Ratio between the actual load and the rated load. Motor efficiency curves typically result in motors being most efficient at approximately 75% of the rated load. The default value is 0.75. Variable loaded motors should use custom measure protocols.NoneBased on spot metering and nameplateEDC Data GatheringDefault, fans: 0.76Default, pumps: 0.79 : 75%32ηbase, Efficiency of the baseline motor. If a new motor was purchased as an alternative to rewinding an old motor, the nameplate efficiency of the old motor may be used as the baseline.NoneEarly Replacement: NameplateEDC Data GatheringNew Construction or Replace on Burnout: Default comparable standard motor.See REF _Ref413757890 \h \* MERGEFORMAT Table 36557 and REF _Ref413757896 \h \* MERGEFORMAT Table 3665843 ηee, Efficiency of the energy-efficient motorNoneNameplateEDC Data GatheringCF, Demand Coincidence factorFactor DecimalEDC Data GatheringEDC Data Gathering REF _Ref275556522 \h \* MERGEFORMAT Table 36759 to REF _Ref393827840 \h \* MERGEFORMAT Table 3716321Table 36557: Baseline Efficiencies for NEMA Design A and NEMA Design B MotorsMotor HPMotor Nominal Full-Load Efficiencies (percent)2 Pole (3600 RPM)Poles4 pole (1800 RPM)poles6 Pole (1200 RPM)Poles8 Pole (900 RPM)PolesEnclosedOpenEnclosedOpenEnclosedOpenEnclosedOpen177.077.085.585.582.582.575.575.51.584.084.086.586.587.586.578.577.0285.585.586.586.588.587.584.086.5386.585.589.589.589.588.585.587.5588.586.589.589.589.589.586.588.57.589.588.591.791.091.090.286.589.51090.289.591.791.791.091.789.590.21591.090.292.493.091.791.789.590.22091.091.093.093.091.792.490.291.02591.791.793.693.693.093.090.291.03091.791.793.694.193.093.691.791.74092.492.494.194.194.194.191.791.75093.093.094.594.594.194.192.492.46093.693.695.095.094.594.592.493.07593.693.695.495.094.594.593.694.110094.193.695.495.495.095.093.694.112595.094.195.495.495.095.094.194.115095.094.195.895.895.895.494.194.120095.495.096.295.895.895.494.594.125095.895.096.295.895.895.895.095.030095.895.496.295.895.895.8N/AN/A35095.895.496.295.895.895.8N/AN/A40095.895.896.295.8N/AN/AN/AN/A45095.896.296.296.2N/AN/AN/AN/A50095.896.296.296.2N/AN/AN/AN/ATable 36658: Baseline Motor Efficiencies for NEMA Design C MotorsMotor HPMotor Nominal Full-Load Efficiencies (percent)4 Pole (1800 RPM)6 Pole (1200 RPM)8 Pole (900 RPM)EnclosedOpenEnclosedOpenEnclosedOpen185.55085.55082.55082.55075.55075.5501.586.55086.55087.55086.55078.55077.000286.55086.55088.55087.55084.00086.550389.55089.55089.55088.55085.55087.550589.55089.55089.55089.55086.55088.5507.591.77091.00091.00090.22086.55089.5501091.77091.77091.00091.77089.55090.2201592.44093.00091.77091.77089.55090.2202093.00093.00091.77092.44090.22091.0002593.66093.66093.00093.00090.22091.0003093.66094.11093.00093.66091.77091.7704094.11094.11094.11094.11091.77091.7705094.55094.55094.11094.11092.44092.4406095.00095.00094.55094.55092.44093.0007595.44095.00094.55094.55093.66094.11010095.44095.44095.00095.00093.66094.11012595.44095.44095.00095.00094.11094.11015095.88095.88095.88095.44094.11094.11020096.22095.88095.88095.44094.55094.110Table 36759: Default RHRS and CFs for Supply Fan Motors in Commercial BuildingsFacility Type Parameter AllentownBinghamtonBradford Erie Harrisburg Philadelphia Pittsburgh Scranton WilliamsburgAssemblyRun Hours5,1885,2175,1725,1865,2015,2075,184Education - College / UniversityCF0.43530.30450.24600.32720.44560.470.42520.380.44Education - Community CollegeRun Hours6,0425,9726,0540816,1266,1395,8607725,9668785,9829115,8767955,905824CF0.440.320.450.480.430.400.47Education - Primary SchoolRun Hours3,7533,9613,6993,8943,7903,8813,763Education - OtherCF0.12100.08070.07160.09160.170.18110.180.120.15Education - Relocatable ClassroomRun Hours5,4675,6495,3755,3215,5565,6075,439CF0.150.110.180.190.200.140.15Education - Secondary SchoolRun Hours4,3803,9204,5831064,7183,8664,5723,9374,3133,9004,3843,9834,4153,9284,4904,377GroceryCF0.24110.21090.180.190.22170.24120.26170.290.210.24Education - UniversityRun Hours6,1116,1965,9486,0536,0535,9575,985CF0.410.310.430.450.400.360.40GroceryRun Hours6,7086,7646,8106,7386,6926,6696,7186,7256,710CF0.240.220.240.260.290.210.24Health/Medical - HospitalRun Hours8,7608,7608,7608,7608,7608,7608,760Health - HospitalCF0.430.240.290.390.450.510.450.400.41Health/Medical - Nursing HomeRun Hours8,7608,7608,7608,7608,7608,7608,7608,7608,760Health - OtherCF0.240.210.170.230.290.310.290.250.28Lodging - HotelRun Hours8,7608,7608,7608,7608,7608,7608,7608,7608,760Industrial ManufacturingCF0.48640.34650.28710.38710.53730.57650.50710.430.46Manufacturing - Bio Tech/High TechRun Hours3,8315703,9816164,0803,9775393,7695653,8385713,8695523,9025733,829Institutional / Public ServiceCF0.530.380.340.450.600.720.560.47440.570.610.570.500.52Manufacturing - Light IndustrialRun Hours5,1884,0925,2234,3385,2483,9985,2174,1115,1724,1675,1864,2515,2014,0845,2075,184LodgingCF0.640.640.600.650.710.710.730.650.71Run Hours8,7608,7608,7608,7608,7608,7608,7608,7608,760OfficeCF0.300.260.210.280.370.390.35310.32490.34520.420.360.40Office - LargeRun Hours4,1954004,4736964,6992984,4413424,0875034,0634414,2403534,2284,139CF0.300.290.390.390.340.340.35Office - SmallRun Hours3,9904,1853,8763,7843,9764,0143,924CF0.290.270.350.380.350.300.33Restaurant - Fast-FoodRun Hours7,3287,3987,3007,2387,3137,3427,332RestaurantCF0.360.330.390.470.440.380.190.280.370.420.500.490.390.45Restaurant - Sit-DownRun Hours6,2825,2362,6805,3326,4875,2036,3655,2136,2526,2266,3006,31565,2865,2885,239RetailCF0.50390.40410.36450.440.530.560.540.45400.4948Retail - Multistory LargeRun Hours5,1374,8935,1884,8975,2344,8855,1584,8855,1084,9075,0924,8905,1464,8965,1495,134Warehouse - OtherCF0.18480.11390.10540.13530.24480.30440.23490.150.20Retail - Single-Story LargeRun Hours5,4865,4945,4815,4975,5025,4935,487CF0.500.400.530.630.550.470.47Retail - SmallRun Hours5,0315,0834,9594,8955,0305,0635,018CF0.530.520.510.530.590.450.50Storage - ConditionedRun Hours5,0375,1895,2595,2224,9805,1685,1105,1885,028Warehouse - RefrigeratedCF0.50180.46130.43240.48300.52230.53150.51200.480.51Warehouse - RefrigeratedRun Hours4,0414,0414,0414,0414,0414,0414,0414,0414,041CF0.500.480.520.530.510.480.51Table 36860: Default RHRS and CFs for Chilled Water Pump (CHWP) Motors in Commercial BuildingsFacility Type Parameter AllentownBinghamtonBradford Erie Harrisburg Philadelphia Pittsburgh Scranton WilliamsburgEducation - Community CollegeRun Hours2,8682,5612,9373,3072,7752,6602,727Education – College / UniversityCF0.41420.270.230.300.42430.45460.40410.33350.4043Education - Secondary SchoolRun Hours4,0072,7213,4362,1753,0962,7303,6415054,0572,6764,3112,3102,5733,9163,8283,872Education - OtherCF0.100.080.070.090.180.180.170.120.16Education - UniversityRun Hours5,14524,7211,8495,1771,6315,3142,1755,0562,7304,9953,5055,0162,6762,3102,573Health - HospitalCF0.46390.290.400.430.380.310.42360.500.540.480.440.47Health/Medical - HospitalRun Hours5,5884,8014,1675,1095,7176,0865,5935,2665,628Health - OtherCF0.24460.20420.16500.22540.28480.30440.28470.230.26Health/Medical - Nursing HomeRun Hours3,8923,0932,5923,4564,1044,5353,9003,7103,818Industrial ManufacturingCF0.53240.40220.32280.43300.53280.58230.54260.480.50Lodging - HotelRun Hours5,8455,1986,0456,1615,6865,6555,776CF0.610.600.660.670.690.590.66Manufacturing – Bio Tech/High TechRun Hours1,7351,3061,0861,4481,7421,8911,6061,5581,633LodgingCF0.61530.58430.530.60580.66540.67480.69500.590.66Office - LargeRun Hours1,8735,8455,0421,7134,4441,9125,1982,1731,8766,0451,7416,1615,6861,8155,6555,776OfficeCF0.29300.25280.200.270.350.360.370.330.29300.3233Office - SmallRun Hours1,7897051,4024561,1896961,5858991,8046022,0361,7395341,6386061,711RetailCF0.46280.260.330.350.320.280.38310.530.540.470.420.47Retail - Multistory LargeRun Hours2,9572,4162,0122,6533,0853,2252,7952,7352,898CF0.460.380.530.540.470.420.47Table 36961: Default RHRS and CFs for Cooling Tower Fan (CTF) Motors in Commercial BuildingsFacility Type Parameter AllentownBinghamtonBradford Erie Harrisburg Philadelphia PittsburghScranton WilliamsburgEducation - Community CollegeRun Hours2,8682,5602,9373,3062,7742,6602,727Education – College / UniversityCF0.41420.260.230.300.42430.45460.40410.33350.3942Education - Secondary SchoolRun Hours4,0062,7423,4352,1782,7443,0963,6415174,0572,6854,3092,3133,9142,6043,8273,871Education - OtherCF0.110.080.070.090.180.180.170.120.17Education - UniversityRun Hours2,7425,1431,8514,7211,6345,1762,1785,3125,0532,7443,5174,9932,6855,0152,3132,604Health - HospitalCF0.45390.37290.400.430.380.310.41360.490.540.470.440.46Health/Medical - HospitalRun Hours5,5874,7984,1655,1075,7146,0845,5915,2635,626Health - OtherCF0.24450.20410.16490.22540.28470.30440.28460.230.26Health/Medical - Nursing HomeRun Hours3,8943,0932,5933,4574,1064,5373,9023,7113,819CF0.240.220.280.300.280.230.26Lodging - HotelRun Hours5,8445,1976,0436,1595,6835,6525,773Industrial ManufacturingCF0.53610.40610.32670.43680.54700.590.54660.480.50Manufacturing – Bio Tech/High TechRun Hours1,7351,3061,0861,4481,7421,8911,6061,5581,633LodgingCF0.610.580.530.61430.67540.680.700.590.66540.480.50Office - LargeRun Hours1,8735,8445,0391,7134,4421,9125,1972,1731,8766,0436,1591,7411,8155,6835,6525,773OfficeCF0.29300.25280.200.270.350.360.370.330.29300.3233Office - SmallRun Hours1,7897051,4024561,1896961,5858991,8046022,0361,7395341,6386061,711RetailCF0.46280.260.330.350.320.280.38310.530.540.470.420.47Retail - Multistory LargeRun Hours2,9572,4162,0122,6533,0853,2262,7952,7362,898CF0.460.380.530.540.470.420.47Table 37062: Default RHRS and CFs for Heating Hot Water Pump (HHWP) Motors in Commercial BuildingsFacility Type Parameter AllentownBinghamtonBradford Erie Harrisburg Philadelphia Pittsburgh Scranton WilliamsburgEducation - Community CollegeRun Hours4,4544,9414,1503,8384,4474,5624,408Education – College / UniversityCF0.010.010.010.010.000.000.010.010.01Education - Secondary SchoolRun Hours4,5483,6515,2715,9005,0364,2500803,4924,0144,5723,3414,6383,7054,4873,8303,658Education - OtherCF0.000.000.000.000.000.000.000.000.00Education - UniversityRun Hours3,6514,6425,1314,2513504,7221904,0806974,7143,4923,3414,5663,7053,8303,658Health - HospitalCF0.09000.09000.09000.09000.09000.09000.09000.090.09Health/Medical - HospitalRun Hours8,7608,7608,7608,7608,7608,7608,7608,7608,760CF0.090.090.090.090.090.090.09Health/Medical - Nursing HomeRun Hours5,9346,2805,8235,4775,9916,2236,045Health - OtherCF0.000.000.000.000.000.000.000.000.00Lodging - HotelRun Hours6,4695,9346,6278297,1706,1556,2800776,5745,8235,4775,9916,2236286,045387Industrial ManufacturingCF0.000.000.000.000.000.000.000.000.00Manufacturing – Bio Tech/High TechRun Hours1,2581,6841,9441,5551,1841,0281,2871,3931,277LodgingCF0.000.000.000.000.000.000.000.000.00Run Hours6,4697,0727,5876,8296,1556,0776,5746,6286,387OfficeCF0.000.000.000.000.000.000.000.000.00Office - LargeRun Hours3,2147053,8764,4460973,6115033,0141122,6903,2467033,3368093,169652RetailCF0.000.000.000.000.000.000.000.000.00Office - SmallRun Hours2,7233,1242,5252,2672,7882,8632,685CF0.000.000.000.000.000.000.00Retail - Multistory LargeRun Hours2,6763,1833,5682,9602,5612,3982,9082,8412,660CF0.000.000.000.000.000.000.00Table 37163: Default RHRS and CFs for Condenser Water Pump Motors in Commercial BuildingsFacility Type Parameter AllentownBinghamtonBradford Erie Harrisburg Philadelphia Pittsburgh Scranton WilliamsburgEducation - Community CollegeRun Hours2,6112,3442,7333,0002,6682,4292,530Education - College / UniversityCF0.41420.260.200.300.42430.45460.40410.33350.3942Education - Secondary SchoolRun Hours3,5272,4482,9380392,4665393,0633462,4093,6024,0302,1643,7492,4233,5003,489Education - OtherCF0.110.080.070.090.180.180.170.120.17Education - UniversityRun Hours2,4484,4431,7331,5292,0392,5393,3467824,4712,4092,1645,0592,4234,8304,5714,448Health - HospitalCF0.45390.370.290.41400.49430.54380.47310.44360.46Health/Medical - HospitalRun Hours3,9503,5463,2933,6983,6874,1684,0933,7133,670Health - OtherCF0.24450.20410.16490.22540.28470.30440.28460.230.26Health/Medical - Nursing HomeRun Hours3,6753,1002,5853,3943,7254,3043,5713,6873,722CF0.240.220.280.300.280.230.26Lodging - HotelRun Hours5,5444,7665,5695,8865,2395,3535,328Industrial ManufacturingCF0.53610.40610.32670.43680.54700.590.54660.480.50Manufacturing – Bio Tech/High TechRun Hours1,7351,3051,0841,4451,7371,8891,6021,5581,632LodgingCF0.610.580.530.61430.67540.680.700.590.66540.480.50Office - LargeRun Hours5,5441,8574,5911,6853,9391,8914,7662,1565,5691,8625,8861,7285,2391,7985,3535,328OfficeCF0.29300.25280.200.270.350.360.370.330.29300.3233Office - SmallRun Hours1,7817051,3894531,1776931,5698981,7925972,0271,7305331,6316061,702RetailCF0.46280.260.330.350.320.280.38310.530.540.470.420.47Retail - Multistory LargeRun Hours2,8892,3811,9862,6163,0253,1852,7572,7022,847CF0.460.380.530.540.470.420.47Default SavingsThere are no default savings for this measure.Evaluation ProtocolsMotor projects achieving expected kWh savings of 250,000 kWh or higher must be metered to calculate ex ante and/or ex post savings. Metering is not mandatory where the motors in question are constant speed and hours can be easily verified through a building automation system schedule that clearly shows motor run time.SourcesResults are based on Nexant eQuest modeling analysis 2014. California Public UtilitiesUtility Commission. Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Phase II SWE team modeling, described in the 2015 Tentative Order Section E.3.c, HYPERLINK "" . Accessed December 2018.Regional Technical Forum. Proposed Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 5, 2012. Appendix C, Table 6.Resources 2005. “Energy Conservation Program: Energy Conservation Standards for Commercial and Industrial Electric Motors; Final Rule,” 79 Federal Register 103 (29 May 2014). HYPERLINK "" Variable Frequency Drive (VFD) ImprovementsMeasure NameVariable Frequency Drive (VFD) ImprovementsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitVariable Frequency DriveUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life1513 years Source 1Measure VintageReplace on Burnout, New Construction, or RetrofitEligibilityEligibilityThe following protocol for the measurement of energy and demand savings applies to the installation of Variable Frequency Drives (VFDs) in standard commercial building applications – supply and return fans, cooling tower fans, chilled water pumps, and heating water pumps.shown in REF _Ref392838452 \h \* MERGEFORMAT Table 365. The baseline condition is a motor without a VFD control. The efficient condition is a motor with a VFD control. AlgorithmsInstallations of new equipment with VFDs which are required by energy codes adopted by the State of Pennsylvania are not eligible for incentiveskWh= HP×LFηmotor×RHRSbase×ESF?kWpeak= HP×LFηmotor×CF×DSFDefinitions. AlgorithmsThe energy and demand savings associated with this measure depend on the size of the affected motor and the motor’s load profile. Savings are calculated using the following algorithms: kWh= kWhbase-kWheekWhbase= 0.746×HP×LFηmotor×RHRS×0%100%%FF×PLRbasekWhee= 0.746×HP×LFηmotor×RHRS×0%100%%FF×PLRee?kWpeak= kWbase-kWeekWbase= 0.746×HP×LFηmotor×PLRbase,FFpeakkWee= 0.746×HP×LFηmotor×PLRee,FFpeakDefinition of TermsTable 37264: Terms, Values, and ReferencesVariables for VFDsVFD CalculationsTermUnitValuesSourceHP, Rated horsepower of the motorHPNameplateEDC Data Gathering0.746, Conversion factor for HP to kWhkWh/HP0.746Conversion factorRHRS, Annual run hours of the baseline motor HoursYearBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref261523047 \h \* MERGEFORMAT Table 367 to REF _Ref393827840 \h \* MERGEFORMAT Table 3712LF NOTEREF _Ref529973612 \h \* MERGEFORMAT 45, Load Factor. Ratio between the actual load and the rated load.NoneBased on spot metering and nameplateEDC Data GatheringDefault for fans: 0.76Default for pumps: 0.793 ηmotor, Motor efficiency at the full-rated load. For VFD installations, this can be either an energy efficient motor or standard efficiency motor. PercentNameplateEDC Data Gathering%FF NOTEREF _Ref529973612 \h \* MERGEFORMAT 45, Percentage of runtime spent within a given flow fraction rangePercentBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref392838452 \h \* MERGEFORMAT Table 3734PLRbase, Part load ratio for a given flow fraction range based on the baseline flow control typePercentDefault: REF _Ref533765789 \h \* MERGEFORMAT Table 374 to REF _Ref529971555 \h \* MERGEFORMAT Table 3754PLRee, Part load ratio for a given flow fraction range with installed VFDPercentDefault: REF _Ref533765789 \h \* MERGEFORMAT Table 374 to REF _Ref529971555 \h \* MERGEFORMAT Table 3754PLRbase,FFpeak, Part load ratio for the average flow fraction during the peak period on the baseline flow control typePercentBased on logging, panel data, or modelingEDC Data GatheringDefault: PLRbase,90%5PLRee,FFpeak, Part load ratio for the average flow fraction during the peak period on the efficient flow control typePercentBased on logging, panel data, or modelingEDC Data GatheringDefault: PLRee,90%5Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 73: Default Load Profiles for HVAC Fans and PumpsEquipment TypeFlow Fraction (%)0102030405060708090100HVAC Fan0%0%0%0%0%10%20%30%20%15%5%HVAC Pump0%0%0%5%10%20%30%20%10%5%0%Motor HP, Rated horsepower of the motorHPNameplateEDC Data GatheringRHRSbase, Annual run hours of the baseline motor HoursYearBased on logging, panel data or modelingEDC Data GatheringDefault: See REF _Ref261523047 \h \* MERGEFORMAT Table 359 to REF _Ref393827840 \h \* MERGEFORMAT Table 3631LF, Load Factor. Ratio between the actual load and the rated load. Motor efficiency curves typically result in motors being most efficient at approximately 75% of the rated load. The default value is 0.75. NoneBased on spot metering and nameplateEDC Data GatheringDefault: 75%1ESF, Energy Savings Factor. Percent of baseline energy consumption saved by installing VFD. NoneDefault See REF _Ref392838452 \h \* MERGEFORMAT Table 365See REF _Ref392838452 \h \* MERGEFORMAT Table 365Based on logging and panel dataEDC Data GatheringDSF, Demand Savings Factor. Percent of baseline demand saved by installing VFDNoneDefault: See REF _Ref275556523 \h \* MERGEFORMAT Table 365See REF _Ref275556523 \h \* MERGEFORMAT Table 365Based on logging and panel dataEDC Data Gathering ηmotor, Motor efficiency at the full-rated load. For VFD installations, this can be either an energy efficient motor or standard efficiency motor. Motor efficiency varies with load and decreases dramatically below 50% load; this is reflected in the ESF term of the algorithm.NoneNameplateEDC Data GatheringCF, Demand Coincidence Factor DecimalEDC Data GatheringEDC Data GatheringDefault See REF _Ref261523047 \h \* MERGEFORMAT Table 359 to REF _Ref393827840 \h \* MERGEFORMAT Table 3632Table 3 SEQ Table \* ARABIC \s 1 74: Supply/Return and Cooling Tower Fan Power Part Load Ratios Control TypeFlow Fraction (%)0102030405060708090100Constant Volume1.001.001.001.001.001.001.001.001.001.001.00Two-Speed0.500.500.500.500.500.501.001.001.001.001.00Air Foil/Backward Incline0.560.530.530.570.640.720.800.890.961.021.05Air Foil/Backward Incline with Inlet Guide Vanes0.470.530.560.570.590.600.620.670.740.851.00Forward Curved0.200.220.260.300.370.450.540.650.770.911.06Forward Curved with Inlet Guide Vanes0.200.210.220.230.260.310.390.490.630.811.04Variable Frequency Drive0.050.050.050.080.130.200.300.430.600.801.03Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 75: HVAC Pump Power Part Load RatiosControl TypeFlow Fraction (%)0102030405060708090100Constant Volume1.001.001.001.001.001.001.001.001.001.001.00Throttle Valve0.550.610.670.730.780.820.870.900.940.971.00Variable Frequency Drive0.270.190.140.130.150.210.300.430.600.791.03Default SavingsThere are no default savings for this measure. Evaluation ProtocolMethods for Determining Baseline ConditionsThe following are acceptable methods for determining baseline motor control conditions when verification by direct inspection is not possible as may occur in a rebate program where customers submit an application and equipment receipts only after installing the variable frequency drive(s), or for a retroactive project as allowed by Act 129. In order of preference:Examination of disengaged baseline motor control equipment or equipment that has been removed but is still on site waiting to be recycled or otherwise disposed ofInterviews with and written statements from customers, facility managers, building engineers or others with firsthand knowledge about operating practices at the affected site(s) identifying the baseline motor control strategy Interviews with and written statements from the project’s mechanical contractor identifying the baseline motor control strategy Appendix D: SEQ Table \* ARABIC \s 1 65: ESF and DSF for Typical CommercialMotor and VFD CalculatorAppendix D: Motor and VFD Calculator was developed to automate the calculation of energy and demand impacts for retrofit VFD projects, based on a series of entries by the user defining key characteristics of the retrofit project. The "General Information" sheet is provided for the user to identify facility-specific details of the project that have an effect on the calculation of gross savings. Facility-specific details include contact information, electric utility, and facility type. The "VFD Inventory" sheet is the main worksheet that calculates energy savings and peak demand reduction for the user-specified motors and motor control improvements. This form follows the algorithms presented above and facilitates the calculation of gross savings for implementation and evaluation purposes. Each line item on this tab represents a single type of motor. InstallationsHVAC Fan VFD Savings FactorsBaseline ESFDSFConstant Volume0.5340.347Air Foil/Backward Incline0.3540.26Air Foil/Backward Incline with Inlet Guide Vanes0.2270.13Forward Curved0.1790.136Forward Curved with Inlet Guide Vanes0.0920.029HVAC Pump VFD Savings FactorsSystem ESFDSFChilled Water Pump0.4110.299Hot Water Pump 0.4240Default SavingsThere are no default savings for this measure. Evaluation ProtocolCustom Load ProfilesDefault fan and pump load profiles as defined in REF _Ref392838452 \h Table 373 are included in the calculator, but users may also customize the load profile to reflect site specific conditions. Annual motor run hours may also be customized. For all projects, annual hours are subject to adjustment by EDC evaluators or SWE.MeteringVFD projects achieving expected kWh savings of 250,000 kWh or higher must be metered to calculate ex ante and/or ex post savings. Metering should be conducted using standalone power logging equipment and/or trend data from a BMS or other control system. Metering completed by the implementation contractor may be leveraged by the evaluation contractor, subject to a reasonableness review. Additional descriptions of the metering requirements for projects exceeding the 250,000 kWh savings threshold are described in Section 1.3.3Metering is not mandatory where hours can be easily verified through a building automation system schedule that clearly shows motor run time.SourcesCalifornia Public UtilitiesUtility Commission. Database for Energy EfficientEfficiency Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 20182005. Phase II SWE team modeling, described in the 2015 Tentative Order Section E.3.c, HYPERLINK "" . Accessed December 2018.Regional Technical Forum. Proposed Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 5, 2012. Appendix C, Table 6. California Municipal Utilities Association. Savings Estimation Technical Reference Manual 2016.2019 Illinois Statewide Technical Reference Manual for Energy Efficiency Version 7.0. Volume 2: Commercial and Industrial Measures. September 28, 2018. HYPERLINK "" Results are based on Nexant’s eQuest modeling analysis 2014ECM Circulating FanMeasure NameECM Circulating FanTarget SectorCommercial and Industrial EstablishmentsMeasure UnitECM Circulating FanUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life1518 years Source 1Measure VintageEarly ReplacementThis protocol covers energy and demand savings associated with retrofit of existing shaded-pole (SP) or permanent-split capacitor (PSC) circulatorevaporator fan motors in an air handling unit with an electronically commutated motor (ECM).EligibilityThis measure is targeted to non-residential customers whose air handling equipment currently uses a SP or PSC fan motor rather than an ECM. This measure applies only to circulating fan motors of 1 HP or less. Motors larger thanAbove 1 HP motors are governed by NEMA standards and would see little to no efficiency benefit by adding an ECM. Additionally, new construction and replace-on-burnout vintages are not eligible to participate, as ECM technology is required in new equipment by federal efficiency standards.Source 2The targeted fan can supply heating, or cooling, ventilation, or any combination of these only, or both heating and cooling. A default savings option is offered if motor input wattage is not known. However, these parameters should be collected by EDCs for greatest accuracy. Acceptable baseline conditions are an existing circulating fan with a SP or PSC fan motor 1 HP or less. Efficient conditions are a circulating fan with an ECM.Efficient conditions are a circulating fan with an ECM.AlgorithmsAlgorithmsThe energy and demand savings associated with this measure depend on the wattage of the baseline and efficient motor. kWh=?kWhheat+?kWhcool?kWpeak=?kWcoolUnknown motor wattages can be estimated using the motor efficiency values listed in REF _Ref392665819 \h \* MERGEFORMAT Table 377. Savings are calculated using the following algorithms:kWh=?kWhheat+?kWhcool+?kWhvent?kWpeak=?kWcool OR ?kWventHeating ?kWhheat=WATTSbase- WATTSee 1,000WATTSbase- WATTSee 1000 ×LF ×EFLHheat×(1+IFkWh)?kWheat=0CoolingInteractive factors should be applied for motors that supply cooling to account for the reduced cooling load associated with the lower wattage ECM motor. Interactive factors do not apply if the motor is located outside of the conditioned air pathway.?kWhcool=WATTSbase- WATTSee 1,000WATTSbase- WATTSee 1000 ×LF ×EFLHcool×(1+IFkWh)?kWcool=WATTSbase- WATTSee 1,000WATTSbase- WATTSee 1000 ×LF ×CFcool×(CF×(1+IFkW)Definition of TermsVentilationFans that provide ventilation, such as introduction of outdoor air, may operate continuously or may follow a building occupancy schedule, regardless of heating or cooling requirements. Default hours and coincidence factor are not provided for this type of fan usage. EDCs must collect fan hours of operation to calculate savings for fans providing only ventilation. If a fan provides ventilation as well as either heating or cooling, then any heating or cooling hours should be removed from the calculation of operating hours for ventilation only.?kWhvent=WATTSbase- WATTSee 1,000 ×LF ×HOURSvent?kWvent=WATTSbase- WATTSee 1,000 ×LF ×CFventMotor WattageMotor wattage may be estimated if unknown using this algorithm.WATTS= 0.746×HPηmotorDefinition of TermsTable 37666: Terms,: ECM Circulating Fan – Values, and References for ECM Circulating FansTermUnitValuesSourceWATTSbase, Baseline wattsWNameplate dataEDC Data GatheringWATTSee, Energy efficient wattsWNameplate dataEDC Data GatheringLF, Load factorNoneDefault: 0.93EFLHheat, Equivalent Full-Load Hours for heating onlyHoursyearBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref393871023 \h Table 3294EFLHcool, Equivalent Full-Load Hours for cooling onlyHoursyearBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref395530180 \h Table 3274HOURSvent, Hours for ventilation only, separate from cooling or heating operationHoursyearBased on logging, panel data, or modelingEDC Data GatheringDefault: 0n/aCFcool, Coincidence FactorDecimalBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref524879376 \h Table 3284CFvent, Coincidence FactorDecimalBased on logging, panel data, or modelingEDC Data GatheringDefault: 0n/aIFkWh, Energy Interactive FactorNoneDefault: 26.2%5IFkW, Demand Interactive FactorNoneDefault: 30%6HP, Rated horsepower of the motorHPNameplateEDC Data Gathering ηmotor, Default motor efficiency for motor type.PercentDefault: REF _Ref392665819 \h \* MERGEFORMAT Table 37770.746, Conversion factor for HP to kWhkWh/HP0.746Conversion factorWATTSbase , Baseline wattsWNameplate dataEDC Data GatheringDefault: See REF _Ref392665819 \h \* MERGEFORMAT Table 3671, 2, 3WATTSee , Energy efficient wattsWNameplate dataEDC Data GatheringDefault : See REF _Ref392665819 \h \* MERGEFORMAT Table 3671, 2, 3LF , Load factorNoneEDC Data GatheringEDC Data GatheringDefault: 0.94EFLHheat , Equivalent Full-Load Hours for heating onlyHoursyearEDC Data GatheringEDC Data GatheringDefault : See REF _Ref393871023 \h \* MERGEFORMAT Table 3277EFLHcool , Equivalent Full-Load Hours for cooling onlyHoursyearEDC Data GatheringEDC Data GatheringDefault: See REF _Ref395530180 \h \* MERGEFORMAT Table 3257CF, Coincidence FactorDecimalEDC Data GatheringEDC Data GatheringDefault: See REF _Ref393870990 \h \* MERGEFORMAT Table 326: Air Conditioning Demand CFs for Pennsylvania CitiesSpace and/or Building TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportAssembly0.530.450.600.720.560.480.52Education - Community College0.490.370.490.530.490.480.52Education - Primary School0.100.070.160.160.170.110.12Education - Relocatable Classroom0.150.110.180.190.200.140.15Education - Secondary School0.110.100.200.210.180.130.17Education - University0.470.380.470.490.470.420.45Grocery0.330.270.240.260.270.210.24Health/Medical - Hospital0.430.370.390.440.390.370.42Health/Medical - Nursing Home0.260.270.300.340.320.280.29Lodging - Hotel0.720.770.780.830.830.730.78Manufacturing – Bio Tech/High Tech0.620.470.610.670.640.540.55Manufacturing – 1 Shift/Light Industrial0.390.310.490.520.420.360.40Multi-Family (Common Areas)0.550.550.550.550.550.550.55Office - Large0.330.320.420.270.350.390.37Office - Small0.310.300.390.270.340.330.36Restaurant - Fast-Food0.360.330.390.470.440.380.42Restaurant - Sit-Down0.390.410.450.530.540.400.48Retail - Multistory Large0.520.420.560.530.510.480.51Retail - Single-Story Large0.500.400.530.630.550.470.47Retail - Small0.530.560.510.550.630.450.50Storage - Conditioned0.180.130.240.300.230.150.20Warehouse - Refrigerated0.500.480.520.530.510.480.517IFkWh, Energy Interactive FactorNoneEDC Data GatheringEDC Data GatheringIF kW×1-EFLHheatEFLHheat+EFLHcool×11.3136IFkW, Demand Interactive FactorNoneEDC Data GatheringEDC Data GatheringDefault : 30%5Table 37767: Default Motor Efficiency by Motor TypeWattage (WATTSbase and WATTSee) for Circulating FanMotor TypeAssumed EfficiencySP0.40PSC0.50ECM0.70Motor TypeAssumed EfficiencyMotor Category? HP? HP1 HPSP0.311,2181,8272,436PSC0.527201,0811,441ECM0.85439658878Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Federal standards: U.S. Department of Energy, Federal Register. 164th ed. Vol. 79, July 3, 2014. HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs – Residential Multi-Family, and Commercial/Industrial Measures. Version 6. April 16, 2018.Phase II SWE team modeling, described in the 2015 Tentative Order Section E.3.c, HYPERLINK "" . Accessed December 2018.Assuming that the waste heat is within the conditioned air stream, then the energy associated with removing the waste heat during the year is approximated as the inverse of the COP, or 3.412/SEER = 0.30 if one uses 13 as a default value for cooling system SEER.Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Display Case ECM, FY2010, V2. HYPERLINK "" Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Deemed MeasuresV26 _walkinevapfan. AO Smith New Product Notification. I-motor 9 & 16 Watt. Stock Numbers 9207F2 and 9208F2. Web address: HYPERLINK "" PSC of Wisconsin, Focus on Energy Evaluation, Business Programs: Deemed Savings Manual V1.0, p. 4-103 to 4-106. HYPERLINK "" Assuming that the waste heat is within the conditioned air stream, then the energy associated with removing the waste heat during peak times is approximated as the inverse of the COP, or 3.412/EER = 0.30 if one uses 11.3 as a default value for cooling system EER. DOE Building Technologies Office. Energy Savings Potential and Opportunities for High-Efficiency Electric Motors in Residential and Commercial Equipment. HYPERLINK "" . Accessed December 2018.This is an approximation that accounts for the coincidence between cooling and fan operation and corrects with a factor of 11.3/13 to account for seasonal cooling efficiency rather than peak cooling efficiency. Nexant eQuest modeling analysis 2014. VSD on Kitchen Exhaust FanMeasure NameVSD on Kitchen Exhaust FanTarget SectorCommercial and Industrial EstablishmentsMeasure UnitVSD on Kitchen Exhaust FanUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1MeasureMeasures VintageNew Construction or RetrofitInstallation of variable speed drives (VSD) on commercial kitchen exhaust fans allows the variation of ventilation based on cooking load and/or time of day.EligibilityThis measure is targeted to non-residential customers whose kitchen exhaust fans are equipped with a VSD that varies the exhaust rate of kitchen ventilation based on the energy and effluent output from the cooking appliances (i.e., the more heat and smoke/vapors generated, the more ventilation needed). This involves installing a temperature sensor in the hood exhaust collar and/or an optic sensor on the end of the hood that sense cooking conditions which allows the system to automatically vary the rate of exhaust to what is needed by adjusting the fan speed.The baseline equipment is kitchen ventilation that has a constant speed ventilation motor.The energy efficient condition is a kitchen ventilation system equipped with a VSD and demand ventilation controls and sensors.AlgorithmsAnnual energy and demand savings values are based on monitoring results from five different types of sites, as summarized in the PG&E work paper.Source 2. The sites included an institutional cafeteria, a casual dining restaurant, a hotel kitchen, a supermarket kitchen, and a university dining facility. Units are based on savings per total exhaust fan rated horsepower. Savings values are applicable to new and retrofit units.kWh= HP ×4,423486?kWpeak=HP ×0.5576Definition of TermsDefinition of TermsTable 37868: Terms, Values, and References for: VSD on Kitchen Exhaust FansFan – Variables and ReferencesTermUnitValuesSource4,423, Annual energy savings per total exhaust fan horsepowerkWhHP4,42320.55, Coincident peak demand savings per total exhaust fan horsepowerkWHP0.5534,486, Annual energy savings per total exhaust fan horsepowerkWhHP4,4861, 20.76, Coincident peak demand savings per total exhaust fan horsepowerkWHP0.761, 2HP, Horsepower rating of the exhaust fanHPNameplate dataEDC Data GatheringDefault SavingsSavings for this measure are partially deemed based on motor horsepower.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. PGE Workpaper, Commercial Kitchen Demand Ventilation Controls, PGECOFST116. June 30, 20141, 2009SDGE Workpaper, Work Paper WPSDGENRCC0019, Commercial Kitchen Demand Ventilation Controls, Revision 2. December 24, 2016. ECM Circulator PumpTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer PumpMeasure Life15 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionThis protocol covers energy and demand savings associated with replacing single-speed induction motor circulator pumps with electronically commutated motor (ECM)—also called brushless permanent magnet (BPM) motor—circulator pumps. Circulator pumps are used to circulate water for space heating in residential and commercial buildings. Typical applications include baseboard and radiant floor heating systems that utilize a primary/secondary loop system in multifamily residences and small commercial buildings. Circulator pumps for domestic hot water applications are commonly used in multifamily and commercial buildings to shorten the amount of time it takes for hot water to reach the occupants on upper floors and those with long piping runs. These recirculator pumps can be operated continuously or be controlled by a timer or an aquastat, which turns on the pump only when the temperature of the return line falls below a certain set point.Source 1 Circulator pumps that use ECMs are more efficient because they lack brushes that add friction to the motor and have the ability to modulate their speed to match the load.EligibilityThis measure targets non-residential customers who purchase and install an ECM or BPM circulator pump, replacing single-speed induction motor circulator pumps in space heating and hot water applications. For all vintages except New Construction, the baseline pump control is the existing pump control, whether continuously running or controlled by a timer or aquastat. For New Construction, the baseline pump control method is the same as the energy efficient pump control method as installed.AlgorithmsAlgorithms are defined for heating circulation pumps and domestic hot water recirculation pumps separately. Both algorithms depend on the wattage of the ECM motor.Heating Circulation PumpskWh=Wattsbase-Wattsee×1kW1,000W×EFLHheat×LFkWpeak=0 kWWattsbase=Wattsee ÷SFDHW Recirculation PumpsSome DHW recirculation pumps incorporate aquastat controls, so replacing the singe-speed motor may also result in a reduction in hours of use. The following algorithm allows for hours of use that differ between the baseline and energy efficient scenarios.kWh=Wattsbase×HOUDHW-base- Wattsee×HOUDHW-ee×1kW1,000W×LFkWpeak=Wattsbase×CFbase-Wattsee×CFee×1kW1,000W×LFWattsbase=Wattsee ÷SFECM Motor WattageECM motor wattage may be estimated if unknown using this algorithm.WATTSee= 0.746×HPηeeDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 79: Terms, Values, and References for ECM Circulator PumpsTermUnitValuesSourceWATTSee, Energy efficient wattsWNameplate dataEDC Data GatheringWATTSbase, Baseline wattsWCalculatedN/ASF, Savings factorNone18%2EFLHheat, Equivalent Full-Load Hours for heating onlyHoursyearBased on logging, panel data, or modelingEDC Data GatheringDefault: REF _Ref393871023 \h Table 3293LF, Load Factor. Ratio between the actual load and the rated load. NoneDefault: 0.904HOUDHW-base, Average annual pump run hours for baseline DHW recirculating pumpHoursyearBased on logging, panel data, or modelingEDC Data GatheringFor continuously running pump: 8,760For timer or aquastat-controlled pumps: 2,1905HOUDHW-ee, Average annual pump run hours for ECM DHW recirculating pumpHoursyearBased on logging, panel data, or modelingEDC Data GatheringFor continuously running pump: 8,760For timer or aquastat-controlled pumps: 2,1905CFbase, Coincidence factor for baseline DHW recirculating pumpHoursyearBased on logging, panel data, or modelingEDC Data GatheringFor continuously running pump: 1.0For timer or aquastat-controlled pumps: 0.255CFee, Coincidence factor for ECM DHW recirculating pumpHoursyearBased on logging, panel data, or modelingEDC Data GatheringFor continuously running pump: 1.0For timer or aquastat-controlled pumps: 0.255HP, Rated horsepower of the motorHPNameplateEDC Data Gathering0.746, Conversion factor for HP to kWhkWh/HP0.746Conversion factor ηee, Efficiency of ECM motorPercent85%6Default Energy SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Cadmus. Impact Evaluation of the 2011–2012 ECM Circulator Pump Pilot Program. Table 2. Pump Spot Measurements. October 18, 2012.Phase II SWE team modeling, described in the 2015 Tentative Order Section E.3.c, HYPERLINK "" . Accessed December 2018.Regional Technical Forum. Proposed Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 5, 2012. Appendix C, Table 6. Average of values for 1, 1.5, and 2 hp pumps.DHW Recirculation System Control Strategies. Final Report 99-1. Pg. 3-30. January 1999. Hours of use for pumps with an aquastat control in multifamily applications.Average efficiency levels for ECM fans calculated using a market average for the product category.High Efficiency PumpsTarget SectorCommercial and Industrial Establishments, AgriculturalMeasure UnitPumpMeasure Life13.3 years Source 1Measure VintageReplace on Burnout, New Construction, or Early ReplacementEligibilityAll pumps manufactured after January 27, 2020 must comply with the DOE’s energy conservation standard as described in 10 CFR 431 Subpart Y.Source 2 This standard is applicable to the following cleanwater pump types:End Suction Closed Coupled (ESCC)End Suction Frame Mounted (ESFM)In-Line (IL)Radially Split Multi-Stage In-Line Diffuser Casing (RSV)Submersible Turbine (ST)This measure does not apply to dedicated-purpose pool pumps or circulator pumps. Savings for dedicated pool pumps should follow the guidance in Section 1.16 of this TRM. This standard requires that pumps tested for compliance with the standard and labeled with a Pump Energy Index (PEI). Compliant pumps will achieve a PEI of 1.0 or less. Pumps that achieve lower PEI values will save energy. Conversions from constant speed to variable speed pumping are not covered under this measure. Default hours of use and coincidence factor values are provided for chilled water, heating water, and condenser water pumps only. AlgorithmsThe energy and demand savings for this measure depend on the size and efficiency of the motor driving the pump, as well as the pump PEI. Savings are calculated according to the following algorithms: kWh= kWhbase-kWheekWhbase= 0.746×HP×LFη×PEIbase×RHRSkWhee= 0.746×HP×LFη×PEIee×RHRS?kWpeak= kWbase-kWeekWbase= 0.746×HP×LFη×PEIbase×CFkWee= 0.746×HP×LFη×PEIee×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 80: Terms, Values, and References for Premium Efficiency MotorsTermUnitValueSourceHP, Rated horsepower of the baseline and energy efficient motorHPNameplateEDC Data Gathering0.746, Conversion factor for HP to kWhkWh/HP0.746Conversion factorRHRS, Annual run hours of the motorHoursYearBased on logging, panel data or modelingEDC Data GatheringDefault: REF _Ref393827821 \h Table 368, REF _Ref1132686 \h Table 369, REF _Ref393827840 \h \* MERGEFORMAT Table 3713LF, Load Factor. Ratio between the actual load and the rated load. Variable loaded motors should use custom measure protocols.NoneBased on spot metering and nameplateEDC Data GatheringDefault: 0.79 for pumps4η, Efficiency of the motor. PEI values for pump packages include motor efficiency.NoneMotor nameplate or 1.0 for pump packagesEDC Data GatheringDefault: REF _Ref413757890 \h \* MERGEFORMAT Table 365 and REF _Ref413757896 \h \* MERGEFORMAT Table 3665PEIbase, Baseline pump energy index.NoneDefault: REF _Ref536471766 \h Table 3811PEIee, Rated pump energy index of installed high efficiency pump or pumping package.NoneNameplateEDC Data GatheringCF, Coincidence factor DecimalEDC Data GatheringEDC Data GatheringDefault: REF _Ref393827821 \h Table 368, REF _Ref1132686 \h Table 369, REF _Ref393827840 \h \* MERGEFORMAT Table 3713Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 81: Baseline Pump Energy IndicesPump TypePEIbaseConstant SpeedVariable SpeedESCC, 1800 RPM1.000.49ESCC, 3600 RPM0.960.51ESFM, 1800 RPM0.980.49ESFM, 3600 RPM0.990.51IL0.990.50RSV0.980.50ST0.960.60Default Energy SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesRegional Technical Forum. UES Measure – Efficient Pumps. Commercial/Industrial/Agricultural Pumps v1.1 Workbook. HYPERLINK "" . Accessed January 2019. U.S. Department of Energy. 10 CFR Part 431. Energy Efficiency Program for Certain Commercial and Industrial Equipment: Subpart Y—Pumps.Phase II SWE team modeling, described in the 2015 Tentative Order Section E.3.c, HYPERLINK "" . Accessed December 2018.Regional Technical Forum. Proposed Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 5, 2012. Appendix C, Table 6. “Energy Conservation Program: Energy Conservation Standards for Commercial and Industrial Electric Motors; Final Rule,” 79 Federal Register 103 (29 May 2014). HYPERLINK "" SDGE Workpaper, Work Paper WPSDGENRCC0019, Commercial Kitchen Demand Ventilation Controls-Electric, Revision 0. June 15, 2012. HYPERLINK "" Domestic Hot WaterHeat Pump Water HeatersMeasure NameHeat Pump Water HeatersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitHeat Pump Water HeaterUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 years Source 1Measure VintageNew Construction, Replace on Burnout, Early RetirementHeat pump water heaters take heat from the surrounding air and transfer it to the water in the tank, unlike conventional electrical water heaters which use resistive heating coils to heat the water. EligibilityEligibilityThis protocol documents the energy savings attributed to heat pump water heaters with uniform energy factors meeting the minimum ENERGY STAR criteria.Source 2. However, uniformother energy factors that exceed the ENERGY STAR minimums are accommodated with the partially deemed scheme. The measure described here involves the installation of a heat pump water heater insteada direct retrofit of a code minimumresistive electric water heater with a heat pump water heater. It is important to note that federal standards require efficiency levels only achievable by heat pump water heaters at certain tank sizes. Therefore, the baseline condition is effectively an electric resistance water heater at smaller tank sizes and code minimum heat pump water heater for larger tank sizes. It does not cover systems where the heat pump is a pre-heater or is combined with other water heating sources. More complicated installations can be treated as custom projects.Mid-Stream Domestic Hot Water OverviewCommercial Heat Pump Water Heaters for Midstream Delivery Programs will offer incentives on eligible products sold to trade allies and customers through commercial sales channels such as distributors of heat pump water heating products. This complements other delivery channels (such as downstream rebates to trade allies and customers) by providing incentives to encourage distributors to stock, promote, and sell more-efficient systems. In a Midstream Delivery program, less information is available about the business and installation setting so additional default values are required to calculate energy and peak demand savings.AlgorithmsThe energy savings calculation comparesutilizes average performance ratingsdata for available heat pump and code minimumstandard electric resistance water heaters and uses typical hot water usages. The energy savings are obtained through the following formula:kWh=1UEFbase-1UEFproposed×1Fadjust×GPY?×?8.3?lbgal?×?1.0?Btulb?°F?×(Thot–Tcold)3,412BtukWh=1EFbase-1EFproposed×1Fadjust×HW?×?8.3?lbgal?×?1.0?Btulb?°F?×(Thot–Tcold)3412BtukWhFor heat pump water heaters, demand savings result primarily from a reduced connected load. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between 2PM and 6PM2 PM to 6 PM on summer weekdays to the total annual energy usage (ETDF), and discounted by the resistive discount factor. ?kWpeak =ETDF ×Energy Savings ×RDFThe Energy to Demand Factor uses hourly load data for specific types of buildings to create loadshapes.Source 3 Pennsylvania’s summer peak is defined as non-holiday weekdays from 2PM to 6PM for June, July, and August. From those load shapes, the ETDF is calculated as follows and provided in REF _Ref533762544 \h \* MERGEFORMAT Table 382:The Energy to Demand Factor is defined below:ETDF = = Average UsageSummer WD 2-6 PM Annual Energy UsageAnnual Gallons Per Year per square foot estimates are provided in REF _Ref533762544 \h \* MERGEFORMAT Table 382. Multiplying GPY per square foot for of Hot Water UseThe annual gallons of use is calculated using average annual heating load kBtuft2from the appropriateDEER database and average square footage from the 2014 Statewide Non-Residential End Use & Saturation Study. Average square footage for each building type times the square footage of is calculated by dividing the area servedPennsylvania 2012 kWh sales by the energy use intensity kWhft2 and premise count. The DEER database has data for gas energy usage for the domestic hot water heater will provide the needed GPY.end use for various small commercial buildings. The loads are averaged over all 16 climate zones and all six vintage types in the DEER database. Finally, the loads are converted to average annual gallons of use using the algorithm below. GPY HW (Gallons) =GPY per Square Foot×Square Footage Served= Load×EFng,base × 1,000 BtukBtu× Typical SF 1.0Btulb?℉×8.3 lbgal × Thot –Tcold × 1,000 SFTable 38269: Typical water heating Gallons per Year and Energy to Demand FactorsloadsCommercial Prototype Building TypeGPY perTypical Square FootFootageETDFAverage Annual Load (kBTU)Average Annual Use (Gallons)Education - Other3.8150,261 0.00025456,745 379,089 Health - HospitalGrocery4.9711,120 0.00020111,660 20,642 Health - Other3.090.0003020Institutional/Public Service5.90---Lodging17.3334,658 0.00012103,423 132,660 Miscellaneous/Other2.040.0002590Office1.337,186 0.0002490161 1,294 Restaurant94.044,542 0.000152535,557 180,593 Retail0.806,226 0.000256061 425 Warehouse - Refrigerated0.2225,349 0.0003018386 10,941 Heat Pump COP Adjustment FactorHeat pump performance is temperature and humidity dependent. The Uniform Energy Factorsto Demand FactorThe ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage is taken from usage profile data collected for commercial water heaters in CA. The usage profiles are shown in REF _Ref302741376 \h \* MERGEFORMAT Figure 31. To ensure that the load shape data derived from observations in CA can be applied to PA, we compared the annual energy usage to peak demand factors for two disparate climate zones in CA. The results, shown in REF _Ref302741381 \h \* MERGEFORMAT Figure 32, indicate that the ratio of peak demand to annual energy usage is not strongly influenced by climate. Also, though the actual usage profiles may be different, the average usage between 2 PM to 6 PM on summer weekdays is quite similar for al building types. The close level of agreement between disparate climate zones and building types suggest that the results will carry over to Pennsylvania.Figure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 1: Load shapes for hot water in four commercial building typesFigure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 2: Energy to demand factors for four commercial building typesResistive Heating Discount FactorThe resistive heating discount factor is an attempt to account for possible increased reliance on back-up resistive heating elements during peak usage conditions. Although a brief literature review failed to find data that may lead to a quantitative adjustment, two elements of the demand reduction calculation are worth considering. The hot water temperature in this calculation is somewhat conservative at 119 °F. The peak usage window is eight hours long.In conditioned space, heat pump capacity is somewhat higher in the peak summer window.In unconditioned space, heat pump capacity is dramatically higher in the peak summer window.Under these operating conditions, one would expect a properly sized heat pump water heater with adequate storage capacity to require minimal reliance on resistive heating elements. A resistive heating discount factor of 0.9, corresponding to a 10% reduction in COP during peak times, is therefore taken as a conservative estimation for this adjustment.Heat Pump COP Adjustment FactorThe energy factors are determined from a DOE testing procedure that is carried out at 5756 °F wet bulbwetbulb temperature. However, the average outdoor wet bulbwetbulb temperature in PA is closer to 4345 °F Source 4, while the average wet bulbwetbulb temperature in conditioned spaces typically ranges from 50 °F to 80°F °F. The heat pump performance is temperature dependent. REF _Ref302742662 \h \* MERGEFORMAT Figure 313 below shows relative coefficient of performance (COP) compared to the COP at rated conditions.Source 5. According to the plotted profile, the following adjustments provided in REF _Ref377457537 \h Table 383 are recommended. For midstream delivery programs, the heat pump water heater placement location will be unknown. The Pennsylvania 2018 baseline study did not report on water heater installation location, and a wider investigation did not reveal any other research with this detailed breakdown of data. Due to the lack of information, the midstream delivery program will use a COP Adjustment Factor value of 1.0 (e.g., no adjustment). Table 38370: COP Adjustment Factors, FadjustHeat Pump PlacementTypical WB Temperature °FCOP Adjustment Factor (Fadjust)Unconditioned Space430.77Conditioned Space681.16Kitchen851.45Unknown (Midstream Delivery)571.00Heat Pump PlacementTypical WB Temperature °FCOP Adjustment FactorUnconditioned Space440.80Conditioned Space631.09Kitchen801.30Figure 313: Dependence of COP on Outdoor Wet BulbWetbulb TemperatureDefinition of TermsDefinition of TermsThe parameters in the above equation are listed in REF _Ref374021944 \h Table 371.Table 38471: Terms, Values, and References for: Heat Pump Water HeatersHeater Calculation AssumptionsTermUnitValuesSourceUEFbase, Uniform Energy Factor of baseline water heaterNoneSee REF _Ref374021967 \h \* MERGEFORMAT Table 3856UEFproposed, Uniform Energy Factor of proposed efficient water heaterNoneDefault:≤ 55 Gallons: 2.0> 55 Gallons: 2.22EFbase, Energy Factor of baseline water heaterNoneSee REF _Ref374021967 \h \* MERGEFORMAT Table 3721EFproposed, Energy Factor of proposed efficient water heaterNoneDefault:≤55 Gallons: 2.0>55 Gallons: 2.27NameplateEDC Data GatheringThot, Temperature of hot water°F1199Tcold, Temperature of cold water supply°F528ETDF, Energy to Demand Factor NoneDefault: REF _Ref533762544 \h \* MERGEFORMAT Table 3823Fadjust, COP Adjustment factorNoneDefault: REF _Ref377457537 \h \* MERGEFORMAT Table 3835, 10SF, Square footageft2Default Unknown/Midstream: 4,0007Load, Average annual Load kBTUDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 3695EDC Data GatheringEDC Data GatheringGPY, Average annual gallons per yearGallonsDefault: REF _Ref533762544 \h \* MERGEFORMAT Table 382CalculationThot, Temperature of hot water°F1192Tcold, Temperature of cold water supply°F553ETDF, Energy to Demand Factor None0.0001784Fadjust ,COP Adjustment factorNone0.80 if outdoor1.09 if indoor1.30 if in kitchen4RDF, Resistive Discount FactorNone0.906Typical SF, Typical square footageft2Default: See REF _Ref421627441 \h Table 3698EDC Data GatheringEDC Data GatheringUniform HW, Average annual gallons of useGallonsDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 369CalculationEDC Data GatheringEDC Data GatheringEnergy Factors Basedbased on Storage VolumeTank SizeFor water heaters delivered through midstream channels, the storage volume of the baseline system will be assumed to be the same as that of the proposed system. The storage volume can be determined from the manufacturer and model number of the incented heat pump water heater.The currentAs of 4/16/2015, Federal Standards for electric water heater Uniform Energy Factors vary based on draw pattern. This standard, which went into effect at the end of 2016, replaces the old federal standard Energy Factors are equal to 0.96 – (0.0003*Rated Storage Volume in Gallons)0.96-0.0003×Rated Storage (gallons) for tanks equal to or smaller than 55≥20 gallons and 2.057 – (0.00113*Rated Storage Volume) for tanks larger than ≤55 gallons. For tanks >55 gallons and ≤120 gallons, the minimum Energy Factor is 2.057-0.00113×Rated Storage gallons. The following table shows the Uniform Energy Factors for various storage volumes. Formulas provided assume a medium draw patterntank sizes.Table 38572: Minimum Baseline Uniform Energy Factor Based on Storage Volume Tank SizeRated Storage Volume (Vr)Uniform Energy Factor≥ 20 gal and ≤ 55 gal0.9307 ? (0.0002 × Vr)> 55 gal and ≤ 120 gal2.1171 ? (0.0011 × Vr)Tank Size (gallons)Minimum Energy Factors (EFbase)40 0.94850 0.94565 1.98480 1.967120 1.921Default SavingsThe default savings presented below representfor the installation of heat pump electric water heaters in the case that the business type, square footage, and location are unknown, and the Uniform Energy Factor is the Energy Star minimum. For ≤ 55 gallons, default savings assume a 40-gallon tank. For > 55 gallons, default savings assume an 80-gallon tank. Remaining default values used in this calculation in various applications can be found in REF _Ref374021944 \h \* MERGEFORMAT Table 384.calculated using the algorithms below:Table 38673: Default Energy Savings AlgorithmsBuilding TypeLocation InstalledAlgorithmEducationOutdoor?kWh=( 59,018.78 EFbase- 73,773.47 EFproposed)EducationIndoor?kWh=( 59,018.78 EFbase- 54,145.67 EFproposed)EducationKitchen?kWh=( 59,018.78 EFbase- 45,399.06 EFproposed)GroceryOutdoor?kWh= 3,213.67 EFbase- 4,017.08 EFproposedGroceryIndoor?kWh= 3,213.67 EFbase- 2,948.32 EFproposedGroceryKitchen?kWh= 3,213.67 EFbase- 2,472.05 EFproposedLodgingOutdoor?kWh= 20,653.28 EFbase- 25,816.60 EFproposedLodgingIndoor?kWh= 20,653.28 EFbase- 18,947.96 EFproposedLodgingKitchen?kWh= 20,653.28 EFbase- 15,887.14 EFproposedOfficeOutdoor?kWh= 201.46 EFbase- 251.82 EFproposedOfficeIndoor?kWh= 201.46 EFbase- 184.82 EFproposedOfficeKitchen?kWh= 201.46 EFbase- 154.97 EFproposedRestaurantOutdoor?kWh= 28,115.77 EFbase- 35,144.71 EFproposedRestaurantIndoor?kWh= 28,115.77 EFbase- 25,794.28 EFproposedRestaurantKitchen?kWh= 28,115.77 EFbase- 21,627.51 EFproposedRetailOutdoor?kWh= 66.17 EFbase- 82.71 EFproposedRetailIndoor?kWh= 66.17 EFbase- 60.70 EFproposedRetailKitchen?kWh= 66.17 EFbase- 50.90 EFproposedWarehouseOutdoor?kWh=( 1,703.36 EFbase- 2,129.20 EFproposed)WarehouseIndoor?kWh=( 1,703.36 EFbase- 1,562.71 EFproposed)WarehouseKitchen?kWh=( 1,703.36 EFbase- 1,310.28 EFproposed)Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesU.S. Location InstalledStorage Volume (gallons)?kWhUnknown (Midstream Delivery)≤ 55776.4> 5550.9Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed November 13, 2018ENERGY STAR Product Specifications for Residential Water Heaters Version 3.2. Effective April 16, 2015. HYPERLINK "" GPY per square foot is found in the Technical Support Document: Energy Efficiency Program For Consumer Products And Commercial And Industrial Equipment: Commercial Water Heating Equipment. Table 7.3.1, p.186. ETDF values are calculated from load data provided in Appendix 7B, p. 230. April 18, 2016SWE analysis of TMY3 data for PA weather stations.The performance curve is developed using the NREL’s Heat Pump Water Heater Technology Assessment Based on Laboratory Research and Energy Simulation Models’. Methodology can be seen: HYPERLINK "" . Values are more easily viewed: HYPERLINK "" The performance curve is developed using the NREL’s The COP adjustment values are an average of COP adjustment for Unit A, B, D, and E, where values are taken from the average tank temperature at 57 degrees F.U.S. Federal Standards for Residential Water Heaters. Current as of November 23, 2018. HYPERLINK "" April 16, 2015. HYPERLINK "" Pennsylvania Act 129 2018 Non-Residential Baseline Study. HYPERLINK "" Resources Conservation Service. October 6, 2018. HYPERLINK "" 20142014 SWE Residential Baseline Study. HYPERLINK "" Mid-Atlantic TRM, footnote #24. HYPERLINK "" The ETDF is estimated using the California load shapes and reflects PJM’s peak demand period. The load shapes can be accessed online: HYPERLINK "" DEER 2008. Commercial Results Review Non-Updated Measures.Engineering EstimateENERGY STAR Product Specifications for Residential Water Heaters Version 3.0. Effective April 15, 2016. HYPERLINK "" Non-Residential End Use & Saturation Study. April 4, 2014. HYPERLINK "" a 45% relative humidity, atmospheric pressure at the sea level value of 29.9 inHg, and the ground temperature calculation of 52 degrees F (Source 8), unconditioned wet bulb temperature is estimated to be 43 degrees F.Low Flow Pre-Rinse Sprayers for Retrofit Programs and Time of Sale ProgramsMeasure NameLow Flow Pre-Rinse Sprayers for Retrofit ProgramsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPre- Rinse SprayerUnit Energy SavingsGroceries: 151 kWh; Food Services: 1,698 kWhUnit Peak Demand ReductionGroceries: 0.03kW; Food Services: 0.30 kWMeasure Life85 years Source 1Measure VintageRetrofit, Early Replacement, or Replace on BurnoutEligibilityEligibilityThis protocol documents the energy savings and demand reductions attributed to efficient low flow pre-rinse sprayers in grocery and food service applications including fast food restaurants, full service restaurants, and other.. The most likely areas of application are kitchens in restaurants and hotels. Only premises with electric water heating may qualify for this incentive. In addition, the replacement pre-rinse spray nozzle must use less than 1.6 gallons per minute.Source 2 with a cleanability performance of 26 seconds per plate or less. Low flow pre-rinse sprayers reduce hot water usage and save energy associated with water heating. This protocol is applicable to retrofit programs only. The baseline for the Retrofit/Early Replacement vintage Program is assumed to be a 2.25 GPM and 2.15 GPM for food service and grocery applications respectively.Source 3 The baseline for the Replace on Burnout (Time of Sale) vintage is assumed to be 1.6 GPM.Source 2AlgorithmsThe energy savings and demand reduction are calculated through the protocols documented below.kWh for Food Services= Fbase×Ubase-Fee×Uee×365daysyr ×8.3 lbsgal×1Btulb?℉×(Th-Tc)UEF×3,412BtukWh= Fbfs×Ubfs-Fpfs×Upfs×365daysyr ×8.3 lbsgal×(Thfs-Tc)EF×3412BtukWhkWh for Groceries= Fbg×Ubg-Fpg×Upg×365 daysyr×8.3 lbsgal×(Thg-Tc)EF×3412BtukWhThe demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between 2PM and 6PM2 PM to 6 PM on summer weekdays to the total annual energy usage. ?kWpeak=ETDF×Energy SavingsThe Energy to Demand Factor uses hourly load data for specific types of buildings to create loadshapes.Source 4 Pennsylvania’s summer peak is defined as non-holiday weekdays from 2PM to 6PM for June, July, and August. From those load shapes, the ETDF is calculated as follows and provided in REF _Ref531005675 \h Table 387:The Energy to Demand Factor is defined below:ETDF= Average UsageSummer WD 2-6 PMAnnual Energy UsageTableThe ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage is taken from usage profile data collected for commercial water heaters in CA. The usage profiles are shown in REF _Ref413933086 \h Figure 34. To ensure that the load shape data derived from observations in CA can be applied to PA, we compared the annual energy usage to peak demand factors for two disparate climate zones in CA. The results, shown in REF _Ref302742022 \h \* MERGEFORMAT Figure 35, indicate that the ratio of peak demand to annual energy usage is not strongly influenced by climate. Also, though the actual usage profiles may be different, the average usage between 2 PM to 6 PM on summer weekdays is quite similar for al building types. The close level of agreement between disparate climate zones and building types suggest that the results will carry over to Pennsylvania.Figure 3 SEQ Table \* ARABIC \s 1 87: Typical SEQ Figure \* ARABIC \s 1 4: Load shapes for hot water in four commercial building typesFigure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 5: Energy to Demand Factorsdemand factors for four commercial building types.Definition of TermsCommercial Prototype BuildingETDFQuick-service Restaurant0.000186Full-service Restaurant0.0001189Standalone Retail (Grocery)0.000237Default - Unknown0.000259Definition of TermsThe parameters in the above equation are listed in REF _Ref531005553 \h Table 388 REF _Ref302741948 \h \* MERGEFORMAT Table 374 below. The values for all parameters except incoming water temperature are taken from impact evaluation of the 2004-2005 California Urban Water council Pre-Rinse Spray Valve Installation Program. Table 38874: Terms, Values, and References for : Low Flow Pre-Rinse SprayersSprayer Calculations Assumptions TermUnitValuesSourceFbase, Baseline flow rate of sprayerGPMEDC Data GatheringEDC Data GatheringDefault: REF _Ref531004845 \h \* MERGEFORMAT Table 3892, 3Fee, Post measure flow rate of sprayerGPMEDC Data GatheringEDC Data GatheringDefault: REF _Ref531004845 \h \* MERGEFORMAT Table 3892, 3Ubase, Baseline water usage durationmindayEDC Data GatheringEDC Data GatheringDefault: REF _Ref531004845 \h \* MERGEFORMAT Table 3895Uee, Post measure water usage durationmindayEDC Data GatheringEDC Data GatheringDefault: REF _Ref531004845 \h \* MERGEFORMAT Table 3895Th, Temperature of hot water °FDefault: 127.56Tc, Incoming cold water temperature°F529UEFelectric, Uniform energy factor of existing electric water heater systemNoneEDC Data GatheringEDC Data Gathering0.97ETDF, Energy to demand factorNoneDefault: REF _Ref531005675 \h Table 3874Days per year pre-rinse spray valve is used at the siteDays3653TermUnitValuesSourceFbfs , Baseline flow rate of sprayer for food service applications GPM2.251, 7Fpfs, Post measure flow rate of sprayer for food service applications GPMEDC Data GatheringEDC Data GatheringDefault: 1.121 Ubfs, Baseline water usage duration for food service applications minday32.42Upfs, Post measure water usage duration for food service applicationsminday43.82Fbg, Baseline flow rate of sprayer for grocery applicationsGPM2.151, 7Fpg, Post measure flow rate of sprayer for grocery applicationsGPMEDC Data GatheringEDC Data GatheringDefault: 1.121Ubg, Baseline water usage duration for grocery applicationsminday4.82Upg, Post measure water usage duration for grocery applicationsminday62Thfs, Temperature of hot water coming from the spray nozzle for food service application°F127.53Tc, Incoming cold water temperature for grocery and food service application°F556Thg, Temperature of hot water coming from the spray nozzle for grocery application°F97.63EFelectric, Energy factor of existing electric water heater systemNoneEDC Data GatheringEDC Data Gathering0.9044ETDF, Energy to demand factorNone0.0001785Days per year pre-rinse spray valve is used at the siteDays3651Specific mass in pounds of one gallon of waterlbgal8.38Specific heat of waterBtulb*°F1.08Btu per kWhBtukWh3,412Conversion FactorTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 89: Flow Rate and Usage Duration by ProgramProgram: ApplicationFlow Rate (GPM)Usage Duration (min/day)FbaseFeeUbaseUeeRetrofit: Food service applications 2.251.1232.443.8Retrofit: Grocery or Unknown2.151.124.86Time of Sale: Limited Service (Fast Food) Restaurant1.61.1232.443.8Time of Sale: Full Service Restaurant1.61.1232.443.8Time of Sale: Other or Unknown1.61.1226.4363,412BtukWh3,412Conversion FactorDefault Savings For retrofit programs, theThe default savings for the installation of a low flow pre-rinse sprayer compared to a standard efficiency sprayer is 268151 kWh/year for pre-rinse sprayers installed in grocery stores and 1,776218 kWh/year for pre-rinse sprayers installed in food service building types such as restaurants. The deemed demand reductions for the installation of a low flow pre-rinse sprayer compared to a standard efficiency sprayer is 0.0603 kW for pre-rinse sprayers installed in grocery stores and 0.2722 kW for pre-rinse sprayers installed in food service building types such as restaurants. The default savings for the installation of a low flow pre-rinse sprayer compared to a standard efficiency sprayer for all Pre-Rinse Sprayer programs are listed in REF _Ref531006082 \h Table 390. In the case of unknown installation setting, “Grocery” defaults can be used for Retrofit and “Other” defaults can be used for Time of Sale programs. The chosen ETDF values for the default demand savings depend on the application but can be obtained from REF _Ref531005675 \h Table 387. Specifically, Retrofit: Groceries and Time of Sale: Other use the Default: Unknown ETDF estimate; Time of Sale: Full Service and Limited Service use their respective ETDF values; and Retrofit Food Service uses a simple average of the Full and Quick service ETDF values.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 90: Low Flow Pre-Rinse Sprayer Default Savings Application?kWh?kWpeakRetrofit: Food Service1,7760.27Retrofit: Groceries or Unknown2680.06Time of Sale: Limited Service (Fast Food) Restaurant2070.04Time of Sale: Full Service Restaurant2070.02Time of Sale: Other or Unknown1430.04Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesImpact and Process Evaluation Final Report for California Urban Water Conservation Council 2004-5 Pre-Rinse Spray Valve Installation Program (Phase 2), SBW Consulting, 2007, Table 3-4, p. 23. HYPERLINK "" Impact Evaluation of Massachusetts Prescriptive Gas Pre-Rinse Spray Valve Measure, DNV-GL, 2014. HYPERLINK "" The Energy Policy Act (EPAct) of 2005 sets the maximum flow rate for pre-rinse spray valves at 1.6 GPM at 60 pounds per square inch of water pressure when tested in accordance with ASTM F2324-03. This performance standard went into effect January 1, 2006. HYPERLINK "" Impact and Process Evaluation Final Report for California Urban Water Conservation Council 2004-5 Pre-Rinse Spray Valve Installation Program (Phase 2), SBW Consulting, 2007, Table 3-4, p. 23. HYPERLINK "" Technical Support Document: Energy Efficiency Program For Consumer Products And Commercial And Industrial Equipment: Commercial Water Heating Equipment. ETDF values are calculated from load data provided in Appendix 7B, p. 230. April 18, 2016Impact and Process Evaluation Final Report for California Urban Water Conservation Council 2004-5 Pre-Rinse Spray Valve Installation Program (Phase 2), SBW Consulting, 2007, Table 3-6, p. 24. HYPERLINK "" Impact and Process Evaluation Final Report for California Urban Water Conservation Council 2004-5 Pre-Rinse Spray Valve Installation Program (Phase 2), SBW Consulting, 2007, Table 3-5, p. 23. HYPERLINK "" Pennsylvania Act 129 2018 Non-Residential Baseline Study. HYPERLINK "" Engineering ToolBox. “Water-Thermal Properties.” HYPERLINK "" Standards are 0.97 -0.00132 x Rated Storage in Gallons. For a 50-gallon tank this is approximately 0.90. “Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct Heating Equipment, and Pool Heaters” US Dept. of Energy Docket Number: EE–2006–BT-STD–0129, p. 30 HYPERLINK "" The EnergyToDemandFactor is estimated using the California load shapes and reflects PJM’s peak demand period. The load shapes can be accessed online: HYPERLINK "" Mid-Atlantic TRM, footnote #24. HYPERLINK "" The Energy Policy Act (EPAct) of 2005 sets the maximum flow rate for pre-rinse spray valves at 1.6 GPM at 60 pounds per square inch of water pressure when tested in accordance with ASTM F2324-03. This performance standard went into effect January 1, 2006.The Engineering ToolBox. “Water-Thermal Properties.” HYPERLINK "" Flow Pre-Rinse Sprayers for Time of Sale / Retail ProgramsMeasure NameLow Flow Pre-Rinse Sprayers for Time of Sale / Retail ProgramsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPre Rinse SprayerUnit Energy SavingsSee REF _Ref374022123 \h \* MERGEFORMAT Table 376Unit Peak Demand ReductionSee REF _Ref374022123 \h \* MERGEFORMAT Table 376Measure Life5 yearsMeasure VintageReplace on BurnoutEligibilityThis protocol documents the energy savings and demand reductions attributed to efficient low flow pre-rinse sprayers in small quick service restaurants, medium-sized casual dining restaurants, and large institutional establishments with cafeterias. Low flow pre-rinse sprayers reduce hot water usage and save energy associated with water heating. Only premises with electric water heating may qualify for this incentive. In addition, the new pre-rinse spray nozzle must have a cleanability performance of 26 seconds per plate or less. This protocol is applicable to Time of Sale/Retail programs only. The baseline for Time of Sale/ Retail programs is assumed to be 1.52 GPM. AlgorithmsThe energy savings and demand reduction are calculated through the protocols documented below. kWh= F b-Fp×U×60minshour×365daysyr×8.3lbsgal×1Btulb?℉×(Th-Tc)EF×3412BtukWhThe demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between noon and 8PM on summer weekdays to the total annual energy usage.?kWpeak=ETDF×Energy SavingsThe ETDF is defined below:ETDF= Average UsageSummer WD 2-6 PMAnnual Energy UsageThe ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage is taken from usage profile data collected for commercial water heaters in CA. The usage profiles are shown in REF _Ref374022038 \h Figure 36. To ensure that the load shape data derived from observations in CA can be applied to PA, we compared the annual energy usage to peak demand factors for two disparate climate zones in CA. The results, shown in REF _Ref374022123 \h \* MERGEFORMAT Table 376 indicate that the ratio of peak demand to annual energy usage is not strongly influenced by climate. Also, though the actual usage profiles may be different, the average usage between 2 PM to 6 PM on summer weekdays is quite similar for all building types. The close level of agreement between disparate climate zones and building types suggest that the results will carry over to Pennsylvania.Figure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 6: Load shapes for hot water in four commercial building typesFigure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 7: Energy to demand factors for four commercial building types.Definition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 75: Low Flow Pre-Rinse Sprayer Calculations Assumptions TermUnitValuesSourceFb , Baseline flow rate of sprayerGPMDefault:Time of Sale/Retail: 1.52 GPM1, 2Fp , Post measure flow rate of sprayerGPMEDC Data GatheringEDC Data GatheringDefault:Time of Sale/Retail: 1.06 GPM3U, Baseline and post measure water usage duration based on applicationHoursdayDefault:Small, quick- service restaurants: 0.5Medium-sized casual dining restaurants: 1.5Large institutional establishments with cafeteria: 34Th, Temperature of hot water coming from the spray nozzle°F127.51Tc, Incoming cold water temperature°F555EF, Energy factor of existing electric water heater system NoneEDC Data GatheringEDC Data GatheringDefault: 0.9046ETDF, EnergyToDemandFactorNone0.0001787Specific mass in pounds of one gallon of waterlbgal8.38Specific heat of waterBtulb?°F1.08Days per year pre-rinse spray valve is used at the siteDays3651Minutes per hour pre-rinse spray valve MinutesHour60Conversion Factor3,412BtukWh3,412Conversion FactorDefault Savings The default savings for the installation of a low flow pre-rinse sprayer compared to a standard efficiency sprayer for retail programs are listed in REF _Ref374022123 \h Table 376 below. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 76: Low Flow Pre-Rinse Sprayer Default Savings ApplicationRetailkWhkWSmall quick service restaurants9830.175Medium-sized casual dining restaurants2,9480.525Large institutional establishments with cafeteria5,8961.049Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesVerification measurements taken at 195 installations showed average pre and post flowrates of 2.23 and 1.12 gallon per minute, respectively.” from Impact and Process Evaluation Final Report for California Urban Water Conservation Council 2004-5 Pre-Rinse Spray Valve Installation Program (Phase 2) (PG&E Program # 1198-04; SoCalGas Program 1200-04) (“CUWCC Report”, Feb 2007). HYPERLINK "" The Energy Policy Act (EPAct) of 2005 sets the maximum flow rate for pre-rinse spray valves at 1.6 GPM at 60 pounds per square inch of water pressure when tested in accordance with ASTM F2324-03. This performance standard went into effect January 1, 2006. Natural Resources Conservation Service. October 6, 2018. HYPERLINK "" federal baseline is adjusted using a baseline adjustment factor of 0.95. This value is derived based on the performance rating results of 29 models listed on the Food Service Technology Center Website showed that the highest rated flow was 1.51 GPM. Web address: HYPERLINK "" , Accessed September 21, 2012. Sprayer by T&S Brass Model JetSpray B-0108 was rated at 1.48 GPM, and tested at 1.51 GPM.1.6 gallons per minute used to be the high efficiency flow, but more efficient spray valves are available ranging down to 0.64 gallons per minute per Federal Energy Management Program which references the Food Services Technology Center web site with the added note that even more efficient models may be available since publishing the data. The average of the nozzles listed on the FSTC website is 1.06. HYPERLINK "" primarily based on PG&E savings estimates, algorithms, sources (2005), Food Service Pre-Rinse Spray Valves with review of 2010 Ohio Technical Reference Manual and Act on Energy Business Program Technical Resource Manual Rev05. HYPERLINK "" Mid-Atlantic TRM, footnote #24. HYPERLINK "" Federal Standards are 0.97 -0.00132 x Rated Storage in Gallons. For a 50-gallon tank this is approximately 0.90. “Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct Heating Equipment, and Pool Heaters” US Dept. of Energy Docket Number: EE–2006–BT-STD–0129, p. 30 HYPERLINK "" The ETDF is estimated using the California load shapes and reflects PJM’s peak demand period. The load shapes can be accessed online: HYPERLINK "" The Engineering ToolBox. “Water-Thermal Properties.” HYPERLINK "" Switching: Electric Resistance Water Heaters to Gas/ / Oil / PropaneMeasure NameFuel Switching: Electric Resistance Water Heaters to Gas/Oil/PropaneTarget SectorCommercial and Industrial EstablishmentsMeasure UnitWater HeaterMeasure LifeTankless: 20 years≤ 75,000 Btu/h: 11 years>75,000 Btu/h: 15 years Source 1Measure VintageEarly Replacement or Replace on BurnoutMeasure UnitGas, Oil or Propane HeaterUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life11 years for natural gas or propane8 years for oilMeasure DescriptionReplace on BurnoutEligibilityNatural gas and, propane, and oil water heaters generally offer the customer lower costs compared to standard electric water heaters. Additionally, they typically see an overall energy savings when looking at the source energy of the electric unit versus the fossil fuel unit. This protocol documents the energy savings attributed to converting from a standard electric tank water heater to an ENERGY STAR natural gas/propane-fired water heater or a standard oil-fired water heater with an Energy Factor of 0.585. If a customer submits a rebate for a product that has applied for ENERGY STAR Certification but has not yet been certified, the savings will be counted for that product contingent upon its eventual certification as an ENERGY STAR measure. If at any point the product is rejected by ENERGY STAR, the product is then ineligible for the program and savings will not be counted.AlgorithmsThe energy savings calculation utilizes average performance data for available small commercial standard electric and natural gas water heaters and typical water usage. Because there is little electric energy associated with a natural gas or propane water heater, the energy savings are the full energy utilization of the electric water heater. The energy savings are obtained through the following formula:kWh= 1UEFbase×GPY×8.3lbgal×1Btulb?°F×Thot-Tcold3,412BtukWh= 1EFelec,bl×HW×1Btulb?°F×8.3lbgal×Thot-Tcold3412BtukWhAlthough there is a significant electric savings, there is an associated increase in fossil fuel energy consumption. While this fossil fuel consumption does not count against PA Act 129 energy savings, it is expected to be used in the program TRC test. The increased fossil fuel usage is obtained through the following formula:Fuel Consumption MMBtu= 1UEFfuel,inst×GPY×1Btulb?°F×8.3lbgal×Thot-Tcold1,000,000 BtuMMBtuAlthough there is a significant electric savings, there is an associated increase in fossil fuel energy consumption. While this fossil fuel consumption does not count against PA Act 129 energy savings, it is expected to be used in the program TRC test. The increased fossil fuel usage is obtained through the following formula:Fuel Consumption MMBtu= 1EFfuel,inst×1DFfuel,adjust×HW×1Btulb?°F×8.3lbgal×Thot-Tcold1,000,000 BtuMMBtuWhere UEFfuelEFfuel changes depending on the fossil fuel used by the water heater. For resistive water heaters, the demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between 2PM and 6PM2 PM to 6 PM on summer weekdays to the total annual energy usage.?kWpeak =ETDF×Energy Savings×RDFThe Energy to Demand Factor uses hourly load data for specific types of buildings to create loadshapes.Source 2 Pennsylvania’s summer peak is defined as non-holiday weekdays from 2PM to 6PM for June, July, and August. From those load shapes, the ETDF is calculated as follows and provided in REF _Ref533762544 \h Table 382:The Energy to Demand Factor is defined below:ETDF= Average Usagesummer WD 2-6PMAnnual Energy UsageLoadsGallons Per Year per square foot estimates are provided in REF _Ref533762544 \h \* MERGEFORMAT Table 382. Multiplying GPY per square foot for the appropriate building type times the square footage of the area served by the water heater will provide the needed GPY.The annual gallons of use is calculated using average annual heating load kBtuft2 from the DEER database and average square footage from the 2014 Statewide Non-Residential End Use & Saturation Study. Average square footage for each building type is calculated by dividing the Pennsylvania 2012 kWh sales by the energy use intensity kWhft2 and premise count. The DEER database has data for gas energy usage for the domestic hot water end use for various small commercial buildings. The loads are averaged over all 16 climate zones and all six vintage types in the DEER database. Finally, the loads are converted to average annual gallons of use using the algorithm below. GPY HW Gallons=GPY per Square Foot×Square Footage Served= Load ×EFng,base×1000BtukBtu×Typical SF1Btulb?°F×8.3lbgal×Thot-Tcold×1000 SFEnergy to Demand Factor The ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage is taken from usage profile data collected for commercial water heaters in CA. The usage profiles are shown in REF _Ref364074316 \h Figure 38. To ensure that the load shape data derived from observations in CA can be applied to PA, we compared the annual energy usage to peak demand factors for two disparate climate zones in CA. The results, shown in REF _Ref364074322 \h Figure 39, indicate that the ratio of peak demand to annual energy usage is not strongly influenced by climate. Also, though the actual usage profiles may be different, the average usage between 2 PM to 6 PM on summer weekdays is quite similar for all building types. The close level of agreement between disparate climate zones and building types suggest that the results will carry over to Pennsylvania.Figure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 8: Load Shapes for Hot Water in Four Commercial Building TypesFigure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 9: Energy to Demand Factors for Four Commercial Building Types Definition of TermsDefinition of TermsThe parameters in the above equationsequation are listed in REF _Ref364074377 \h \* MERGEFORMAT Table 39177.Table 39177: Terms, Values, and References for : Commercial Water Heater Fuel SwitchingSwitch Calculation AssumptionsTermUnitValuesSourceUEFbase, Uniform energy factor of baseline electric water heaterNoneDefault: 0.93EFbase, Energy Factor of baseline water heaterNoneDefault: See REF _Ref413758028 \h \* MERGEFORMAT Table 3781NameplateEDC Data GatheringUEFfuel, Uniform energy factor of installed natural gas water heaterNoneDefault: REF _Ref531072542 \h \* MERGEFORMAT Table 3924, 5EFfuel, Energy Factor of installed fossil fuel water heater*NoneDefault for Natural Gas and Propane: ≤55 Gallons = 0.67, >55 Gallons = 0.77Default for Oil: >=0.5851, 5NameplateEDC Data GatheringSF, Square Footageft2Default: 4,0003EDC Data GatheringEDC Data GatheringGPY, Average annual gallons per yearGallonsDefault: REF _Ref533762544 \h Table 3822EFtankless water heater, Energy Factor of installed tankless water heaterNoneDefault: >=0.905NameplateEDC Data GatheringDFfuel,adjust, Fossil fuel water heaters derating adjustment factor NoneStorage Water Heaters: 1.0Tankless Water Heaters: 0.917Typical SF, Typical square footageft2Default: See REF _Ref421627441 \h Table 3699EDC Data GatheringEDC Data GatheringLoad, Average annual load kBtuDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 3698EDC Data GatheringEDC Data GatheringThot, Temperature of hot water°F1196Tcold, Temperature of cold water supply°F527ETDF, Energy To Demand FactorNoneDefault: REF _Ref533762544 \h Table 3822Thot, Temperature of hot water°F1192Tcold, Temperature of cold water supply°F553HW, Average annual gallons of useGallonsDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 369CalculationEDC Data GatheringEDC Data GatheringETDF, Energy To Demand FactorNone0.0001784RDF, Resistive Discount FactorNone1.06Energy Factors based on Tank SizeAs of 4/16/2015, Federal Standards for electric water heater Energy Factors are equal to 0.96-0.0003×Rated Storage (gallons) for tanks ≥20 gallons and ≤55 gallons. For tanks >55 gallons and ≤120 gallons, the minimum Energy Factor is 2.057-0.00113×Rated Storage gallons. The following table shows the Energy Factors for various tank sizes.Table 39278: Minimum Baseline Uniform Energy Factor for Gas Water Heaters Based on Tank SizeRated Storage Volume or TypeUniform Energy Factor≤ 75,000 Btu/h≤ 55 gal≥ 0.67> 55 gal≥ 0.77Tankless≥ 0.90> 75,000 Btu/hStorage or Tankless≥ 0.94Default SavingsTank Size (gallons)Minimum Energy Factors EFbase40 0.94850 0.94565 1.98480 1.967120 1.921Default SavingsThe default savings for the replacement of an electric water heater with a fossil fuel unitunits in various applications are listed below. For the default savings, the algorithm uses default values provided in REF _Ref364074377 \h \* MERGEFORMAT Table 391 for baseline UEF and Typical Square Feet, and Gallons per Year per Square Foot from REF _Ref533762544 \h \* MERGEFORMAT Table 382.Table 39379: Water Heating Fuel Switch Energy Savings AlgorithmsBuilding Type?kWhFuel Consumption (MMBtu)Education 59,018.78 EFelec,bl201.371EFfuel,inst×?1DFfuel, adjustGrocery 3,213.67EFelec,bl10.961EFfuel,inst×?1DFfuel, adjustLodging20,653.28 EFelec,bl70.471EFfuel,inst×?1DFfuel, adjustOffice 201.46EFelec,bl0.691EFfuel,inst×?1DFfuel, adjustRestaurant 28,115.77EFelec,bl95.931EFfuel,inst×?1DFfuel, adjustRetail66.17 EFelec,bl0.231EFfuel,inst×?1DFfuel, adjustWarehouse1,703.36 EFelec,bl5.811EFfuel,inst×?1DFfuel, adjustEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesBuilding TypekWhFuel Consumption (MMBtu)Unknown (Midstream Delivery)1,475.14.53 * 1UEFfuel,instEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed November 13, 2018GPY per square foot is found in the Technical Support Document: Energy Efficiency Program For Consumer Products And Commercial And Industrial Equipment: Commercial Water Heating Equipment. Table 7.3.1, p.186. ETDF values are calculated from load data provided in Appendix 7B, p. 230. April 18, 2016Pennsylvania Act 129 2018 Non-Residential Baseline Study. HYPERLINK "" STAR Program Requirements Produce Specification for Commercial Water Heaters Version 2.0. HYPERLINK "" . Federal Standards for Residential Water Heaters. Effective April 16, 2015. Federal Standards are 0.68 - 0.0019 x Rated Storage in Gallons for oil. The Energy Factor for a 50-gallon oil tank is 0.585. HYPERLINK "" 2014 SWE Residential Baseline Study. HYPERLINK "" Mid-Atlantic TRM, footnote #24. HYPERLINK "" ETDF is estimated using the California load shapes and reflects PJM’s peak demand period. The load shapes can be accessed online: HYPERLINK "" Commission Order page 30 of the 2016 TRC Test Final Order requires fuel switching to ENERGY STAR measures, not standard efficiency measures. The Uniform Energy Factor has therefore been updated to reflect the Energy Star standard for natural gas or propane storage water heaters. ENERGY STAR Product Specification for Residential Water Heaters Version 3.2. HYPERLINK "" beginning September 1, 2010. From Residential Water Heaters Key Product Criteria Version 3.0. HYPERLINK "" Accessed February 2015. 2014 SWE Residential Baseline Study. HYPERLINK "" Natural Resources Conservation Service. October 6, 2018. HYPERLINK "" STAR Refrigeration/Freezer CasesNo discount factor is needed because the baseline is already an electric resistance water heater system. The disconnect between rated energy factor and in-situ energy consumption is markedly different for tankless units due to significantly higher contributions to overall household hot water usage from short draws. In tankless units the large burner and unit heat exchanger must fire and heat up for each draw. The additional energy losses incurred when the mass of the unit cools to the surrounding space in-between shorter draws was found to be 9% in a study prepared for Lawrence Berkeley National Laboratory by Davis Energy Group, 2006. “Field and Laboratory Testing of Tankless Gas Water Heater Performance” Due to the similarity (storage) between the other categories and the baseline, this derating factor is applied only to the tankless category. HYPERLINK "" 2008. Commercial Results Review Non-Updated Measures.2014 Non-Residential End Use & Saturation Study. April 4, 2014. HYPERLINK "" Fuel Switching: Heat Pump Water Heaters to Gas / Oil / Propane Measure NameFuel Switching: Heat Pump Water Heaters to Gas/Oil/PropaneTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigeration/Freezer CaseGas, Oil, or Propane HeaterUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life1211 years Source 1 for natural gas/propane8 years for oilMeasure VintageReplace on BurnoutEligibilityNatural gas, propane, and oil water heaters generally offer the customer lower costs compared to heat pump water heaters. Additionally, they typically see an overall energy savings when looking at the source energy of the electric unit versus the gas unit. This protocol documents the energy savings attributed to converting heat pump water heaters to an ENERGY STAR natural gas/propane-fired water heater or a standard oil-fired water heater with an Energy Factor of 0.585. The measure described here involves a direct retrofit of a heat pump water heater with a fossil fuel water heater. It does not cover systems where the heat pump is a pre-heater or is combined with other water heating sources. If a customer submits a rebate for a product that has applied for ENERGY STAR Certification but has not yet been certified, the savings will be counted for that product contingent upon its eventual certification as an ENERGY STAR measure. If at any point the product is rejected by ENERGY STAR, the product is then ineligible for the program and savings will not be counted. More complicated installations can be treated as custom projects.AlgorithmsThe energy savings calculation utilizes average performance data for available heat pump water heaters and typical hot water usages. The energy savings are obtained through the following formula:kWh=(1EFbase×?1Fadjust)×HW?×?8.3?lbgal?×?1.0?Btulb?°F?×(Thot–Tcold)3412BtukWhAlthough there is a significant electric savings, there is an associated increase in fossil fuel energy consumption. While this fossil fuel consumption does not count against PA Act 129 energy savings, it is expected to be used in the program TRC test. The increased fossil fuel usage is obtained through the following formula:Fuel Consumption (MMBtu)=??1EFfuel, inst×?1DFfuel, adjust×HW?×?1.0?Btulb?°F×?8.3?lbgal×Thot–Tcold 1,000,000BtuMMBtuWhere EFfuel changes depending on the fossil fuel used by the water heater. For replacement of heat pump water heaters with fossil fuel units, demand savings result primarily from a reduced connected load. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage.?kWpeak =ETDF ×Energy Savings ×RDFThe ETDF is defined below:ETDF = Average UsageSummer WD 2-6 PM Annual Energy UsageLoadsThe annual gallons of use is calculated using average annual heating load kBtuft2 from the DEER database and average square footage from the 2014 Statewide Non-Residential End Use & Saturation Study. Average square footage for each building type is calculated by dividing the Pennsylvania 2012 kWh sales by the energy use intensity kWhft2 and premise count. The DEER database has data for gas energy usage for the domestic hot water end use for various small commercial buildings. The loads are averaged over all 16 climate zones and all six vintage types in the DEER database. Finally, the loads are converted to average annual gallons of use using the algorithm below. HW (Gallons) = Load×EFng, base × 1,000 BtukBtu× Typical SF1 Btulb?°F × 8.3 lbgal × Thot –Tcold × 1,000 SFEnergy to Demand Factor (ETDF)The ratio of the average energy usage between 2 PM to 6 PM on summer weekdays to the total annual energy usage is taken from usage profile data collected for commercial water heaters in CA. The usage profiles are shown in REF _Ref364074448 \h Figure 310. To ensure that the load shape data derived from observations in CA can be applied to PA, we compared the annual energy usage to peak demand factors for two disparate climate zones in CA. The results, shown in REF _Ref364074451 \h Figure 311, indicate that the ratio of peak demand to annual energy usage is not strongly influenced by climate. Also, though the actual usage profiles may be different, the average usage between 2 PM to 6 PM on summer weekdays is quite similar for all building types. The close level of agreement between disparate climate zones and building types suggest that the results will carry over to Pennsylvania.Figure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 10: Load Shapes for Hot Water in Four Commercial Building TypesFigure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 11: Energy to Demand Factors for Four Commercial Building TypesResistive Heating Discount FactorThe resistive heating discount factor is an attempt to account for possible increased reliance on back-up resistive heating elements during peak usage conditions. Although a brief literature review failed to find data that may lead to a quantitative adjustment, two elements of the demand reduction calculation are worth considering. The hot water temperature in this calculation is somewhat conservative at 119 °F. The peak usage window is eight hours long.In conditioned space, heat pump capacity is somewhat higher in the peak summer window.In unconditioned space, heat pump capacity is dramatically higher in the peak summer window.Under these operating conditions, one would expect a properly sized heat pump water heater with adequate storage capacity to require minimal reliance on resistive heating elements. A resistive heating discount factor of 0.9, corresponding to a 10% reduction in COP during peak times, is therefore taken as a conservative estimation for this adjustment.Heat Pump COP Adjustment FactorThe Energy Factors are determined from a DOE testing procedure that is carried out at 56 °F wetbulb temperature. However, the average wetbulb temperature in PA is closer to 45 °F, while the average wetbulb temperature in conditioned typically ranges from 50 °F to 80 °F. The heat pump performance is temperature dependent. REF _Ref364074489 \h \* MERGEFORMAT Figure 312 below shows relative coefficient of performance (COP) compared to the COP at rated conditions. According to the plotted profile, the following adjustments are recommended.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 80: COP Adjustment FactorsHeat Pump PlacementTypical WB Temperature °FCOP Adjustment FactorUnconditioned Space440.80Conditioned Space631.09Kitchen801.30Figure STYLEREF 1 \s 3 SEQ Figure \* ARABIC \s 1 12: Dependence of COP on Outdoor Wetbulb TemperatureDefinition of TermsThe parameters in the above equation are listed in REF _Ref364074550 \h \* MERGEFORMAT Table 381.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 81: Heat Pump Water Heater Fuel Switch Calculation AssumptionsTermUnitValuesSourceEFbase, Energy Factor of baseline water heaterNoneDefault: See REF _Ref413758066 \h \* MERGEFORMAT Table 3821NameplateEDC Data GatheringEFfuel, Energy Factor of installed fossil fuel water heater*NoneDefault for Natural Gas and Propane: ≤55 Gallons = 0.67, >55 Gallons = 0.77Default for Oil: >=0.5851,7NameplateEDC Data GatheringEFtankless water heater, Energy Factor of installed tankless water heaterNoneDefault: >=0.907NameplateEDC Data GatheringDFfuel,adjust, Fossil Fuel Water Heaters Derating Adjustment factor NoneStorage Water Heaters: 1.0Tankless Water Heaters: 0.918Load, Average annual loadkBtuDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 3695EDC Data GatheringEDC Data GatheringTypical SF, Typical square footageft2Default: See REF _Ref421627441 \h Table 3698EDC Data GatheringEDC Data GatheringThot, Temperature of hot water°F1192Tcold, Temperature of cold water supply°F553ETDF, Energy To Demand FactorNone0.0001784Fadjust,COP Adjustment factor None0.80 if outdoor1.09 if indoor1.30 if in kitchen4HW, Average annual gallons of useGallonsDefault: See REF _Ref413757968 \h \* MERGEFORMAT Table 369CalculationEDC Data GatheringEDC Data GatheringRDF, Resistive Discount FactorNone0.906Energy Factors based on Tank SizeAs of 4/16/2015, Federal Standards for electric water heater Energy Factors are equal to 0.96-0.0003×Rated Storage (gallons) for tanks ≥20 gallons and ≤55 gallons. For tanks >55 gallons and ≤120 gallons, the minimum Energy Factor is 2.057-0.00113×Rated Storage gallons. The following table shows the Energy Factors for various tank sizes.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 82: Minimum Baseline Energy Factors Based on Tank SizeTank Size (gallons)Minimum Energy Factors (EFbase)40 0.94850 0.94565 1.98480 1.967120 1.921Default SavingsThe default savings for the replacement of heat pump electric water heaters with fossil fuel units in various applications are listed below. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 83: Energy Savings Algorithms Building TypeLocation Installed?kWhFuel Consumption (MMBtu)EducationOutdoor 73,773.47 EFelec,bl201.371EFfuel,inst×?1DFfuel, adjustEducationIndoor 54,145.67 EFelec,blEducationKitchen 45,399.06 EFelec,blGroceryOutdoor 4,017.08 EFelec,bl10.971EFfuel,inst×?1DFfuel, adjustGroceryIndoor 2,948.32 EFelec,blGroceryKitchen 2,472.05 EFelec,blLodgingOutdoor 25,816.60 EFelec,bl70.471EFfuel,inst×?1DFfuel, adjustLodgingIndoor 18,947.96 EFelec,blLodgingKitchen 15,887.14 EFelec,blOfficeOutdoor 251.82 EFelec,bl0.691EFfuel,inst×?1DFfuel, adjustOfficeIndoor 184.82 EFelec,blOfficeKitchen 154.97 EFelec,blRestaurantOutdoor 35,144.71 EFelec,bl95.931EFfuel,inst×?1DFfuel, adjustRestaurantIndoor 25,794.28 EFelec,blRestaurantKitchen 21,627.51 EFelec,blRetailOutdoor 82.71 EFelec,bl0.231EFfuel,inst×?1DFfuel, adjustRetailIndoor 60.70 EFelec,blRetailKitchen 50.90 EFelec,blWarehouseOutdoor 2,129.20 EFelec,bl5.811EFfuel,inst×?1DFfuel, adjustWarehouseIndoor 1,562.71 EFelec,blWarehouseKitchen 1,310.28 EFelec,blEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesU.S. Federal Standards for Residential Water Heaters. Effective April 16, 2015. Federal Standards are 0.68 – 0.0019 x Rated Storage in Gallons for oil. The Energy Factor for a 50-gallon oil tank is 0.585. 2014 SWE Residential Baseline Study HYPERLINK "" Mid-Atlantic TRM Version 3.0, March 2013, footnote #314. HYPERLINK "" ETDF is estimated using the California load shapes and reflects PJM’s peak demand period. The load shapes can be accessed online: HYPERLINK "" DEER 2008. Commercial Results Review Non-Updated Measures. Engineering EstimateCommission Order requires fuel switching to ENERGY STAR measures, not standard efficiency measures. The Energy Factor has therefore been updated to reflect the ENERGY STAR standard for natural gas or propane storage water heaters beginning September 1, 2010. From Residential Water Heaters Key Product Criteria Version 3.0. HYPERLINK "" Accessed February 2015. The disconnect between rated energy factor and in-situ energy consumption is markedly different for tankless units due to significantly higher contributions to overall household hot water usage from short draws. In tankless units the large burner and unit heat exchanger must fire and heat up for each draw. The additional energy losses incurred when the mass of the unit cools to the surrounding space in-between shorter draws was found to be 9% in a study prepared for Lawrence Berkeley National Laboratory by Davis Energy Group, 2006. “Field and Laboratory Testing of Tankless Gas Water Heater Performance” Due to the similarity (storage) between the other categories and the baseline, this derating factor is applied only to the tankless category. HYPERLINK "" Non-Residential End Use & Saturation Study. April 4, 2014. HYPERLINK "" RefrigerationHigh-Efficiency Refrigeration/Freezer CasesMeasure NameHigh-Efficiency Refrigeration/Freezer CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigeration/Freezer CaseUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life12 yearsMeasure VintageReplace on BurnoutEligibilityThis protocol estimates savings for installing high efficiency refrigeration and freezer cases that exceed ENERGY STARfederal efficiency standards. Eligible refrigerators and freezers are self-contained with vertical-closed transparent or solid doors. The measurement of energy and demand savings is based on algorithms with volume as the key variable.AlgorithmsAnnual energy savings and peak demand savings calculations are shown below.kWh= kWhbase-kWhee×daysyear?kWpeak= kWhbase-kWhee24Definition of TermsDefinition of TermsTable 39484: Terms, Values, and References for High-Efficiency: Refrigeration/Freezer Cases - ReferencesTermUnitValuesSourcekWhbase, The unit energy consumption of a standard unitkWhdaySee REF _Ref275903160 \h \* MERGEFORMAT Table 3952kWhee, The unit energy consumption of the ENERGY STAR-qualified unit kWhdaySee REF _Ref275903160 \h \* MERGEFORMAT Table 3953kWhbase, The unit energy consumption of a standard unitkWhdaySee REF _Ref275903160 \h \* MERGEFORMAT Table 3851kWhee, The unit energy consumption of the ENERGY STAR-qualified unit kWhdaySee REF _Ref275903160 \h \* MERGEFORMAT Table 3852V, Internal Volumeft3EDC data gatheringEDC data gatheringdaysyear, , days per yeardaysyearEDC data gatheringDefault: 365Conversion FactorTable 39585: Refrigeration & Freezer Case Efficiencies (PY8)RefrigeratorsVolume ft3TransparentGlass DoorSolid DoorkWheedaykWhbasedaykWheedaykWhbasedayV < 150.118*V + 1.3820.12*V + 3.340.089*V + 1.4110.10*V + 2.0415 ≤ V < 300.140*V + 1.0500.037*V + 2.20030 ≤ V < 500.088*V + 2.6250.056*V + 1.63550 ≤ V0.110*V + 1.500.060*V + 1.416FreezersVolume ft3Glass DoorSolid DoorkWheedaykWhbasedaykWheedaykWhbasedayV < 150.095607*V + +0.4458930.1075*V + 0.864.100.022250*V + 0.971.250.054*V + 1.363815 ≤ V < 300.05733*V +- 1.12000.06640*V + 0.31– 1.0030 ≤ V < 500.076250*V + 0.3413.500.04163*V + 1.096.12550 ≤ V0.105*V – 1.1110.024*V + 1.89FreezersVolume ft3Transparent DoorSolid DoorkWheedaykWhbasedaykWheedaykWhbaseday50 ≤ V < 150.232450*V + 2.363.500.29*V + 2.950.021158*V + 0.96.3330.22*V + 1.3815 ≤ V < 300.12*V + 2.24830 ≤ V < 500.285*V – 2.70350 ≤ V0.142*V + 4.445Default SavingsIf precise case volume is unknown, default savings given in tables below can be used.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 86: Refrigeration Case Savings (PY8)Volume ft3Annual Energy Savings (kWh)Demand Impacts (kW)Glass DoorSolid DoorGlass DoorSolid DoorV < 157222680.06360.023615 ≤ V < 306834240.06020.037430 ≤ V < 507638380.06720.073950 ≤ V9271,2050.08170.1062Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 87: Freezer Case Savings (PY8)Volume (ft3)Annual Energy Savings (kWh)Demand Impacts (kW)Glass DoorSolid DoorGlass DoorSolid DoorV < 151,9018140.16750.071715 ≤ V < 301,9928690.17560.076630 ≤ V < 504,4171,9880.38930.175250 ≤ V6,6803,4050.58870.3001Future Standards ChangesThe Department of Energy (DOE) published a final rule on March 28, 2014 adopting more stringent energy conservation standards for commercial refrigerator and freezers. Compliance with the new standards is required on March 27, 2017. As stated in Section REF _Ref423006811 \r \h 1.7, if a new federal standard is effective in January, the changes will be reflected in the TRM to be released in the following program year. Therefore, the new standards will be effective from June 1, 2017 (PY9) until the end of Phase III (PY12) provided that there are no additional code changes. Table 3- SEQ Table \* ARABIC 88: Refrigerator and Freezer Case Baseline Efficiencies (PY9-PY12)Transparent DoorSolid DoorRefrigeratorFreezerRefrigeratorFreezer0.1*V + 0.860.29*V + 2.950.05*V + 1.360.22*V + 1.38There are no default savings for this measure.PY9-PY12 measuresEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Energy Conservation Program: Energy Conservation Standards for Commercial Refrigerators, Freezers, and Refrigerator-Freezers. Pg. Refrigeration Equipment. Final Rule. Table I.1. HYPERLINK "" HYPERLINK "" ENERGY STAR Program Requirements for Commercial Refrigerators and Freezers. Version 4.02.1 HYPERLINK "https" https Northeast Energy Efficiency Partnerships, Mid Atlantic TRM Version 3.0. March 2013. Calculated from Itron eShapes, which is 8760 hourly data by end use for Update New York. HYPERLINK "" High-Efficiency Evaporator Fan Motors for Walk-In or Reach-In Refrigerated CasesMeasure NameHigh-Efficiency Evaporator Fan Motors for Reach-In Refrigerated CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitEvaporator Fan MotorMeasure Life15 years Source 1Unit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageEarly ReplacementEligibilityEligibilityThis protocol covers energy and demand savings associated with the replacement of existing shaded-pole (SP) evaporator fan motors or Permanent Split Capacitor (PSC) motors in walk-in or reach-in refrigerated display cases with an Electronically Commutated motor (ECM) or a Permanent Magnet Synchronous (PMS) motor. The baseline condition assumes the evaporator fan motor is uncontrolled (i.e., it runs continuously).(ECM). This measure is not applicable for new construction or replace on burnout projects. Savings are calculated per motor replacedA default savings option is offered if case temperature and/or motor size are not known. However, these parameters should be collected by EDCs for greatest accuracy.There are two sources of energy and demand savings through this measure: The direct savings associated with replacement of an inefficient motor with a more efficient one;The indirect savings of a reduced cooling load on the refrigeration unit due to less heat gain from the more efficient evaporator fan motor in the air-stream. AlgorithmsCoolerThe algorithms below are adapted from the Commercial Refrigeration Loadshape Project, a research effort from NEEP, Cadmus, and the Demand Management Institute.Source 2 The report notes that savings show minimal variation with the time of day or day type, thus peak demand savings are simply annual energy savings divided by 8,760. kWh?kWpeak per unit=kWbase-kWee*%ONUncontrolled*8,760*WHFe=Wbase-Wee1,000×LF×DCevapcool×1+1DG×COPcoolerkWbase?kWhper unit=HPbase*0.746/ηbase*LF=?kWpeak per unit×8,760kWee?kWpeak=HPee*0.746/ηee*LF= N×?kWpeak per unit ?kWpeakkWh=?kWh8,760=N×?kWhper unitFreezerDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 96: Terms, Values, and References for High-Efficiency Evaporator Fan Motors?kWpeak per unitTermUnit=Wbase-Wee1,000×LF×DCevapfreeze×1+1DG×COPfreezerValuesSourcekWbase, Input wattage of the baseline motorkWNameplateEDC Data GatheringCalculated valueCalculated valuekWee, Input wattage of the efficient motor kWNameplateEDC Data GatheringCalculated valueCalculated value%ONUncontrolled, Effective runtime of the motor without controls%EDC Data GatheringEDC Data GatheringDefault: 97.8%2?kWhper unit=?kWpeak per unit×8,760, Operating hours per yearHours8,760Conversion factorWHFe, Waste heat factor for energy; represents the increased savings due to reduced waste heat from motors that must be rejected by the refrigeration equipment?kWpeakNone= N×?kWpeak per unit SP Base, Cooler: 1.38PSC Base, Cooler: 1.19SP Base, Freezer 1.76PSC Base, Freezer: 1.383HPbase, Rated horsepower of the baseline motorkWhHP=N×?kWhper unitNameplateEDC Data GatheringHPee, Rated horsepower of the efficient motorHPNameplateEDC Data Gatheringηbase, Motor efficiency of the baseline motor%Default for SP: 30%Default for PSC: 60%4ηee, Motor efficiency of the efficient motor%Default for ECM: 70%Default for PMS: 73%4, 5LF, Load factor. Ratio between the actual load and the rated load.%Based on spot metering and nameplateDefault: 0.9EDC Data Gathering60.746, Conversion factorkW/HP0.746Conversion factorDefinition of TermsDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 89: Variables for High-Efficiency Evaporator Fan MotorTermUnitValuesSourceN, Number of motors replacedNoneEDC Data GatheringEDC Data GatheringWbase, Input wattage of existing/baseline evaporator fan motorWNameplate Input WattageEDC Data GatheringDefault values from REF _Ref413763008 \h \* MERGEFORMAT Table 391 and REF _Ref413763016 \h \* MERGEFORMAT Table 392 REF _Ref413763008 \h \* MERGEFORMAT Table 391 and REF _Ref413763016 \h \* MERGEFORMAT Table 392Wee, Input wattage of new energy efficient evaporator fan motor WNameplate Input WattageEDC Data GatheringDefault values from REF _Ref395167298 \h \* MERGEFORMAT Table 390 REF _Ref395167298 \h \* MERGEFORMAT Table 390LF, Load factor of evaporator fan motorNone0.91DCevapcool, Duty cycle of evaporator fan motor for coolerNone100%2DCevapfreeze, Duty cycle of evaporator fan motor for freezerNone94.4%2DG, Degradation factor of compressor COPNone0.983COPcooler, Coefficient of performance of compressor in the coolerNone2.51COPfreezer, Coefficient of performance of compressor in the freezerNone1.31PctCooler, Percentage of coolers in stores vs. total of freezers and coolersNone68%38,760, Hours per yearHoursYear8,760Conversion FactorTable STYLEREF 1 \s 3California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Commercial Refrigeration Loadshape Project, Northeast Energy Efficiency Partnerships, October 2015. HYPERLINK "" . Average wattage per rated horsepower (0.758 kW/HP) is based on an average of 66 ECMs. This represents a conservative estimate for PMS motors, as they are slightly more efficient than ECMs.In cases where the baseline is an SP motor, waste heat factor is calculated by dividing the annual energy savings (kWh/HP) for “Equipment and Interactive” (shown in Table 43 of the report referenced in Source 2) by annual energy savings (kWh/HP) for the “Equipment Only” equipment type (also shown in Table 43). According to the DOE report noted in Source 4, PSC motors are approximately twice as efficient as SP motors. Thus, PSC motors will create less waste heat. The default waste heat factors for PSC motor baselines suppose PSC motors create half as much waste heat as SP motors.Department of Energy. “Energy Savings Potential and Opportunities for High-Efficiency Electric Motors in Residential and Commercial Equipment.” December 2013. Motor efficiencies for the baseline motors are drawn from Table 2.1, which provides peak efficiency ranges for a variety of motors. The motor efficiency for an ECM is drawn from the discussion in 2.4.3. HYPERLINK "" , B. and B. Becker, Oak Ridge National Laboratory. “Q-Sync Motors in Commercial Refrigeration: Preliminary Test Results and Projected Benefits.” ORNL/TM-2015/466. 2015. PMS motor efficiency estimated to be 0.73. See Table 1. HYPERLINK "" . New York Standard Approach for Estimating Energy SEQ Table \* ARABIC \s 1 90: Variables for HE Evaporator Fan MotorMotor CategoryMotor Output WattsSP EfficiencySP Input WattsPSC EfficiencyPSC Input WattsECM EfficiencyECM Input Watts1-14 watts (Using 9 watt as industry average)918%5041%2266%1416-23 watts (Using 19.5 watt as industry average)19.521%9341%4866%301/20 HP (~37 watts)3726%14241%9066%56Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 91: PSC to ECM Deemed SavingsMeasureWbase(PSC)Wee(ECM)LFDCEvapDGCOP per case TempDemand Impact (kW)Energy Impact (kWh)Cooler: PSC to ECM:1-14 Watt22140.9100%0.982.50.010592Cooler: PSC to ECM:16-23 Watt48300.9100%0.982.50.0228200Cooler: PSC to ECM:1/20 HP (37 Watt)90560.9100%0.982.50.0433380Freezer: PSC to ECM: 1-14 Watt22140.994.4%0.981.30.0126110Freezer: PSC to ECM: 16-23 Watt48300.994.4%0.981.30.0273239Freezer: PSC to ECM: 1/20 HP (37 Watt)90560.994.4%0.981.30.0518454Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 92: Shaded Pole to ECM Deemed SavingsMeasureWbase(Shaded Pole)Wee(ECM)LFDCEvapDGCOP per case TempDemand Impact (kW)Energy Impact (kWh)Cooler: Shaded Pole to ECM:1-14 Watt50140.9100%0.982.50.0461404Cooler: Shaded Pole to ECM:16-23 Watt93300.9100%0.982.50.0802703Cooler: Shaded Pole to ECM:1/20 HP (37 Watt)142560.9100%0.982.50.1093958Freezer: Shaded Pole to ECM:1-14 Watt50140.994.4%0.981.30.0551483Freezer: Shaded Pole to ECM:16-23 Watt93300.994.4%0.981.30.0960841Freezer: Shaded Pole to ECM:1/20 HP (37 Watt)142560.994.4%0.981.30.13081146Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. Sources“ActOnEnergy; Business Program-Program Year 2, June, 2009 through May, 2010. Technical Reference Manual, No. 2009-01.” Published 12/15/2009. “Efficiency Maine; Commercial Technical Reference User Manual No. 2007-1.” Published 3/5/07.Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Display Case ECM, FY2010, V2. Accessed from RTF website HYPERLINK "" on July 30, 2010. High-Efficiency Evaporator Fan Motors for Walk-in Refrigerated CasesMeasure NameHigh-Efficiency Evaporator Fan Motors for Walk-in Refrigerated CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitFan MotorUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageEarly ReplacementEligibilityThis protocol covers energy and demand savings associated with the replacement of existing shaded-pole (SP) or permanent-split capacitor (PSC) evaporator fan motors in walk-in refrigerated display cases with an electronically commutated motor (ECM). There are two sources of energy and demand savings through this measure:The direct savings associated with replacement of an inefficient motor with a more efficient one; The indirect savings of a reduced cooling load on the refrigeration unit due to less heat gain from the more efficient evaporator fan motor in the air-stream. AlgorithmsCooler?kWpeak per unit= Wbase-Wee1,000×LF×DCevapcool×1+1DG×COPcooler?kWhper unit=?kWpeak per unit×HR?kWhpeak=N×?kWpeak per unit?kWh=N×?kWhper unitFreezer?kWpeak per unit= Wbase-Wee1,000×LF×DCevapfreeze×1+1DG×COPfreezer?kWhper unit=?kWpeak per unit×HR?kWhpeak=N×?kWpeak per unit?kWh=N×?kWhper unitDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 93: Variables for High-Efficiency Evaporator Fan MotorTermUnitValuesSourceN, Number of motors replaced NoneEDC Data GatheringEDC Data GatheringWbase, Input wattage of existing/baseline evaporator fan motorWNameplate Input WattageEDC Data GatheringDefault REF _Ref413758145 \h \* MERGEFORMAT Table 395and REF _Ref413758151 \h \* MERGEFORMAT Table 396 REF _Ref413758145 \h \* MERGEFORMAT Table 395 and REF _Ref413758151 \h \* MERGEFORMAT Table 396Wee, Input wattage of new energy efficient evaporator fan motorWNameplate Input WattageEDC Data GatheringDefault REF _Ref413766849 \h \* MERGEFORMAT Table 394 REF _Ref413766849 \h \* MERGEFORMAT Table 394LF, Load factor of evaporator fan motorNone0.91DCevapcool, Duty cycle of evaporator fan motor for cooler None100%2DCevapfreeze, Duty cycle of evaporator fan motor for freezerNone94.4%2DG, Degradation factor of compressor COPNone0.983COPcooler, Coefficient of performance of compressor in the coolerNone2.51COPfreezer, Coefficient of performance of compressor in the freezerNone1.31PctCooler, Percentage of walk-in coolers in stores vs. total of freezers and coolersNone69%3Hr, Operating hours per yearHoursYear8,2732Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 94: Variables for HE Evaporator Fan MotorMotor CategoryMotor Output WattsSP Efficiency,SP Input WattsPSC EfficiencyPSC Input WattsECM EfficiencyECM Input Watts1-14 watts (Using 9 watt as industry average)918%5041%2266%141/40 HP (16-23 watts) (Using 19.5 watt as industry average)19.521%9341%4866%30 1/20 HP (~37 watts)3726%14241%9066%56 1/15 HP (~49 watts)4926%19141%12066%75Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 95: PSC to ECM Deemed SavingsMeasureWbase(PSC)Wee(ECM)LFDCEvapDGCOP per case TempDemand Impact (kW)Energy Impact (kWh)Cooler: PSC to ECM: (1-14 Watt)22140.9100%0.982.50.010184Cooler: PSC to ECM:1/40 HP (16-23 Watt)48300.9100%0.982.50.0228189Cooler: PSC to ECM:1/20 HP (37 Watt)90560.9100%0.982.50.0431356Cooler: PSC to ECM:1/15 HP (49 Watt)120750.9100%0.982.50.0570472Freezer: PSC to ECM: (1-14 Watt)22140.994.4%0.981.30.0121100Freezer: PSC to ECM:1/40 HP (16-23 Watt)48300.994.4%0.981.30.0273226Freezer: PSC to ECM:1/20 HP (37 Watt)90560.994.4%0.981.30.0516427Freezer: PSC to ECM:1/15 HP (49 Watt)120750.994.4%0.981.30.0682565Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 96: Shaded Pole to ECM Deemed SavingsMeasureWbase(Shaded Pole)Wee(ECM)LFDCEvapDGCOP per case TempDemand Impact (kW)Energy Impact (kWh)Cooler: Shaded Pole to ECM:(1-14 Watt)50140.9100%0.982.50.0456377Cooler: Shaded Pole to ECM:1/40 HP (16-23 Watt)93300.9100%0.982.50.0798661Cooler: Shaded Pole to ECM:1/20 HP (37 Watt)142560.9100%0.982.50.1090902Cooler: Shaded Pole to ECM:1/15 HP (49 Watt)191750.9100%0.982.50.14701,216Freezer: Shaded Pole to ECM:(1-14 Watt)50140.994.4%0.981.30.0546452Freezer: Shaded Pole to ECM:1/40 HP (16-23 Watt)93300.994.4%0.981.30.0955790Freezer: Shaded Pole to ECM:1/20 HP (37 Watt)142560.994.4%0.981.30.13041,079Freezer: Shaded Pole to ECM:1/15 HP (49 Watt)191750.994.4%0.981.30.17591,455Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesPSC of Wisconsin, Focus on Energy EfficiencyEvaluation, Business Programs – Residential Multi-Family, and Commercial/Industrial Measures. Version 6. April 16, 2018.: Deemed Savings Manual V1.0, p. 4-103 to 4-106. HYPERLINK "" Vermont, Technical Reference Manual 2009-54, 12/08. Hours of operation accounts for defrosting periods where motor is not operating. HYPERLINK "" presentation to Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Energy Smart March 2009 SP to ECM – 090223.ppt. Accessed from RTF website HYPERLINK "" on September 7, 2010. Controls: Evaporator Fan ControllersControls: Evaporator Fan ControllersMeasure NameControls: Evaporator Fan ControllersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitEvaporator Fan ControllerMeasure Life15 years Source 1Unit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 yearsMeasure VintageRetrofitThis measure is for the installation of evaporator fan controls in medium-temperature walk-in coolers or freezers with no pre-existing controls. An evaporator fan controller is a device or system that lowers airflow across an evaporator when there is no refrigerant flow through the evaporator (i.e., when the compressor is in an off-cycle). Evaporator fans run constantly to provide cooling when the compressor is running, and to provide air circulation when the compressor is not running. The equations specified in the Algorithms section are for fans that are turned off and/or cycled. A fan controller saves energy by reducing fan usage, by reducing the refrigeration load resulting from the heat given off by the fan and by reducing compressor energy resulting from the electronic temperature control. This protocol documents the energy savings attributed to evaporator fan controls. EligibilityEligibilityThis protocol documents the energy savings attributed to installation of evaporator fan controls in medium-temperature walk-in or reach-in coolers and low temperature walk-in or reach-in freezers. The baseline case is assumed to be a shaded pole (SP) motor without controls or an electronically-commutated motor (ECM) without controls.Algorithms ?kWh=?kWhfan+?kWhheat+?kWhcontrol?kWhfan =kWfan×8,760×%Off?kWhheat =?kWhfan×0.28×Effrs?kWhcontrol =kWcp×Hourscp+kWfan×8,760×1-%Off×5%?kW=?kWh8,760Determine kWfan and kWcp variables using any of the following methods:Calculate using the nameplate horsepower and load factor. kWfan or kWcp = HP×LF×0.746 ηmotorCalculate using the nameplate amperage and voltage and a power factor. kWfan or kWcp = V×A×PFmotor×LF Measure the input kW fan using a power meter reading true RMS power. Definition of TermsThe algorithms used in this section are adapted from NEEP’s Commercial Refrigeration Loadshape Project.Source 2?kWh=kW*%ONUncontrolled-%ONControlled*8,760*WHFekW=HP*0.746/η*LF?kWpeak=?kWh*CFDefinition of TermsTable 397: Terms, Values, and References for Evaporator Fan ControllersController Calculations Assumptions TermUnitValuesSourcekW, Input wattage of the SP or ECM motorkWNameplateEDC Data GatheringCalculated valueCalculated value%ONUncontrolled, Effective runtime of the uncontrolled motorNoneEDC Data GatheringDefault: 97.8%EDC Data Gathering2%ONControlled, Effective runtime of the controlled motorNoneEDC Data GatheringUnknown control style: 66.5%ON/OFF control style: 63.6%Micropulse control style: 69.2%EDC Data Gathering28,760, Numbers of operating hours per yearHours8,760Conversion factorWHFe, Waste heat factor for energy; represents the increased savings due to reduced waste heat from motors that must be rejected by the refrigeration equipment NoneCooler: 1.38Freezer 1.763HP, Rated horsepower of the motorHPNameplateEDC Data Gatheringη, Motor efficiency of the SP or ECM motorNoneDefault for SP: 30%Default for ECM: 70%4LF, Load factor. Ratio between the actual load and the rated load.%Based on spot metering and nameplateDefault: 0.9EDC Data Gathering50.746, Conversion factorkW/HP0.746Conversion factorCF, Coincidence factorNoneUnknown control style: 0.094ON/OFF control style: 0.087Micropulse control style: 0.1026?kWhfan, Energy savings due to evaporator being shut off kWhCalculatedCalculated?kWhheat, Heat energy savings due to reduced heat from evaporator fans kWhCalculatedCalculated?kWhcontrol, Control energy savings due to electronic controls on compressor and evaporatorkWhCalculatedCalculatedkWfan, Power demand of evaporator fan calculated from any of the methods described abovekWCalculatedCalculatedkWcp, Power demand of compressor motor and condenser fan calculated from any of the methods described abovekWCalculatedCalculated0.28, Conversion from kW to tonskWton0.28Conversion Factor5%, Reduced run-time of compressor and evaporator due to electronic controlsNone5%70.746, Conversion factor from horsepower to kWkWhp0.746 Conversion FactorPF, Power Factor of the motorNoneFan motor: 0.75 Compressor motor: 0.9 1, 5, 6%Off, Percent of annual hours that the evaporator is turned offNone46% 2Effrs, Efficiency of typical refrigeration systemkWton1.6 3Hourscp, Equivalent annual full load hours of compressor operation HoursYearEDC Data GatheringEDC Data Gathering4,0721, 4HP, Rated horsepower of the motorHPEDC Data GatheringEDC Data Gatheringηmotor, Efficiency of the motorNoneEDC Data GatheringEDC Data GatheringLF, Load factor of motorNone0.9Section REF _Ref395166585 \r \h \* MERGEFORMAT 3.5.2Voltage, Voltage of the motorVoltsEDC Data GatheringEDC Data GatheringAmperage, Rated amperage of the motorAmperesEDC Data GatheringEDC Data GatheringDefault SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Commercial Refrigeration Loadshape Project, Northeast Energy Efficiency Partnerships, October 2015. HYPERLINK "" . The average kW per rated HP values are taken from Table 28. The effective runtime values are taken from Table 34.Waste heat factor is calculated by dividing the annual energy savings (kWh/HP) for “Equipment and Interactive” (shown in Table 43 of the report referenced in Source 2) by annual energy savings (kWh/HP) for the “Equipment Only” equipment type (also shown in Table 43). Department of Energy. “Energy Savings Potential and Opportunities for High-Efficiency Electric Motors in Residential and Commercial Equipment.” December 2013. Motor efficiency for SP motors is drawn from Table 2.1, which provides peak efficiency ranges for a variety of motors. The motor efficiency for an ECM is drawn from the discussion in 2.4.3. HYPERLINK "" York Standard ApproachConservative value based on 15 years of NRM field observations and experience Select Energy (2004). Analysis of Cooler Control Energy Conservation Measures. Prepared for NSTAR. Estimated average refrigeration efficiency for small business customers, Massachusetts Technical Reference Manual for Estimating Savings from Energy Efficiency Measures. October 2012. Pg. Energy1912012 Program Year Rhode Island Technical Reference Manual for Estimating Savings from Energy Efficiency Programs – Residential Multi-Family, and Commercial/Industrial Measures. Version 6. April 16, 2018.MeasuresCoincidence factors are developed by dividing the PJM summer peak kW/HP savings for evaporator fan controls (shown in Table 47 of the report referenced in Source 2) by the average annual energy savings (kWh/HP) for evaporator fan controls (shown in Table 43 of the report referenced in Source 2). ESource Customer Direct to Touchstone Energy for Evaporator Fan Controllers, 2005LBNL 57651 Energy Savings in Refrigerated Walk-in Boxes, 1998 HYPERLINK "" estimate supported by less conservative values given by several utility-sponsored 3rd party studies including: Select Energy (2004). Analysis of Cooler Control Energy Conservation Measures. Prepared for NSTAR. Controls: Floating Head Pressure ControlsMeasure NameControls: Floating Head Pressure ControlTarget SectorCommercial and Industrial EstablishmentsMeasure UnitFloating Head Pressure ControlUnit Energy SavingsDeemed by location, kWhUnit Peak Demand Reduction0 kWMeasure Life15 years Source 1Measure VintageRetrofitInstallers conventionally design a refrigeration system to condense at a set pressure-temperature point, typically 90 ?F. By installing a floating head pressure control (FHPCs) condenser system, the refrigeration system can change condensing temperatures in response to different outdoor temperatures. This means that the minimum condensing head pressure from a fixed setting (180 psig for R-22) is lowered to a saturated pressure equivalent at 70 ?F or less. Either a balanced-port or electronic expansion valve that is sized to meet the load requirement at a 70 ?F condensing temperature must be installed. Alternatively, a device may be installed to supplement the refrigeration feed to each evaporator attached to a condenser that is reducing head pressure. Eligibility This protocol documents the energy savings attributed to FHPCs applied to a single-compressor refrigeration system in commercial applications. The baseline case is a refrigeration system without FHPC whereas the efficient case is a refrigeration system with FHPC. FHPCs must have a minimum Saturated Condensing Temperature (SCT) programmed for the floating head pressure control of ≤ 70 ?F. The use of FHPC would require balanced-port expansion valves, allowing satisfactory refrigerant flow over a range of head pressures. The compressor must be 1 HP or larger. AlgorithmsThere are no peakThe savings associated with this measure. Annual energyare primarily dependent on the following factors: Load factor of compressor motor horsepower (HP)Climate zone Refrigeration system temperature applicationThe savings algorithms are shown below.algorithm is as follows:kWh= HPcompressor×kWhHPIf the refrigeration system is rated in tonnage:kWh= 4.715COP×Tons×kWhHP?kWpeak=0Definition of TermsTable 398: Terms, Values, and References for Floating Head Pressure Controls – Values and ReferencesTermUnitValuesSourceHPcompressor, Rated horsepower (HP) per compressor HP EDC Data Gathering NameplateEDC Data GatheringkWhHP, Annual savings per HPkWhHPSee REF _Ref394496600 \h \* MERGEFORMAT Table 399, REF _Ref532982647 \h Table 31002, 3, 41COP, Coefficient of PerformanceNoneBased on design conditions EDC Data Gathering Default:Condensing Unit;Refrigerator (Medium Temp: 28 °F – 40 °F): 2.5155 COPFreezer (Low Temp: -20 °F – 0 °F): 1.30 32 COPRemote Condenser;Refrigerator (Medium Temp: 28 °F – 40 °F): 2.50 49 COPFreezer (Low Temp: -20 °F – 0 °F): 1.46 45 COP52Tons, Refrigeration tonnage of the systemtonEDC Data GatheringEDC Data Gathering4.715, Conversion factor to convert from ton to HPHPtontonHPEngineering Estimate63Table 399: Annual Savings kWh/HP by LocationClimate ZoneCondensing Unit (kWh/HP)Remote Condenser (kWh/HP)Refrigerator (Medium Temp)Freezer (Low Temp)Default (Temp Unknown)Refrigerator (Medium Temp)Freezer (Low Temp)Default (Temp Unknown)Allentown 630767672674467380639520463Binghamton728835761495674551Bradford765860794511686565Erie681802719720482438657536508Harrisburg585737632634440330623497424Philadelphia546710597598435286609489390Pittsburgh617759661662470366634521452Scranton686806723724479443659535512Williamsport663790702703468417651525492Table 3100: Default Condenser Type Annual Savings kWh/HP by LocationClimate ZoneUnknown Condenser Type Default (kWh/HP)Refrigerator (Medium Temp)Freezer (Low Temp)Temp UnknownAllentown 549505703596568Binghamton612755656Bradford638773680Erie582559730628614Harrisburg513458680565529Philadelphia491416660543494Pittsburgh544491697591557Scranton583564733732629618Williamsport566540721720614598Default SavingsThere are no default savings for this measure.Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesFloating Head Pressure Controls for Single Compressor Systems, V1.6. Accessed from RTF website HYPERLINK "" on October 26, 2018.Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Floating Head Pressure Controls for Single Compressor Systems, FY2010, V1. Using RTF Deemed saving estimates for the NW climate zone, data was extrapolated to Pennsylvania climate zones by using cooling degree days comparison based on the locale. HYPERLINK "" Default based on the Pennsylvania Act 129 2018 Non-Residential Baseline Study ( HYPERLINK "" ), which found a split of roughly 69% medium temperature displays and 31% low temperature displays.No data available to predict if condensing units or remote condensers will be more prevalent, assumed 50/50 split, based on discussion with Portland Energy Conservation, Inc. (PECI) GrocerySmart staff. The given COP values are averaged based on the data from Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. : Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Floating Head Pressure Controls for Single Compressor Systems, December 2016FY2010, V1.6Conversion factor for compressor horsepower per ton: HYPERLINK "" : Anti-Sweat Heater ControlsMeasure NameAnti-Sweat Heater ControlsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitCase doorUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life12 years Source 1Measure VintageRetrofitEligibilityMeasure VintageRetrofitEligibilityAnti-sweat door heaters (ASDH) prevent condensation on cooler and freezer doors. Anti-sweat heater (ASH) controls sense the humidity in the store outside of reach-in, glass door refrigerated cases and turn off anti-sweat heaters during periods of low humidity. Without controls, anti-sweat heaters run continuously whether they are necessary or not. There are two commercially available control strategies – (1) ON/OFF controls and (2) micro pulse controls that respond to a call for heating, which is typically determined using either a door moisture sensor or an indoor air temperature and humidity sensor to calculate the dew point. In the first strategy, the ON/OFF controls turn the heaters on and off for minutes at a time, resulting in a reduction in run time. In the second strategy, the micro pulse controls pulse the door heaters for fractions of a second, in response to the call for heating. Savings are realized from the reduction in energy used by not having the heaters running at all times. In addition, secondary savings result from reduced cooling load on the refrigeration unit when the heaters are off. The baseline conditionASH control is assumedapplicable to be a commercial glass door cooler or refrigeratordoors with heaters running 24 hours a day, seven days per week (24/7). Non-glass doors are not eligible. The, and the savings given below are based on adding controls to doors with uncontrolled heaters utilizing either ON/OFF or micro pulse controls. The savings calculated from these algorithms is on a per door basis for two temperatures: Refrigerator/Coolers and Freezers. A default value to be used when the case service control strategies are temperature is unknown is also calculated. Furthermore, impacts are calculated for both a per-door and a per-linear-feet of case unit basis, because both are used for Pennsylvania energy efficiency programs.AlgorithmsAlgorithms for annual energy savings and peak demand savings are shown below. Refrigerator/CoolerkWhper unit= kWcoolerbaseDoorFt×8,760×CHAoff×1+RhCOPcool?kWpeak per unit= kWcoolerbaseDoorFt×CHPoff×1+RhCOPcool×DF?kWh= kWd× %ONNONE-%ONCONTROL×N×8760 ×WHFe= N×kWhper unit?kWpeak?kWpeak= kWd×CF×WHFd= N×?kWpeak per unitDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 101: Terms, Values, and References for Anti-Sweat Heater ControlsFreezerTermkWhper unitUnit= kWfreezerbaseDoorFt×8,760×FHAoff×1+RhCOPfreezeValuesSource?kWpeak per unit= kWfreezerbaseDoorFt×FHPoff×RhCOPfreeze×DF?kWhN, Number of reach-in refrigerator or freezer doors controlled by sensors= N×kWhper unitDoors# of doorsEDC Data GatheringkWd, Connected load kW per connected door ?kWpeakkWDoor= N×?kWpeak per unitEDC Data GatheringDefault: 0.132%ONNONE, Effective runtime of uncontrolled ASDHNoneEDC Data GatheringDefault: 90.7%2%ONCONTROL, Effective runtime of ASDH with controlsNoneUnknown control style: 45.6%ON/OFF control style: 58.9%Micropulse control style: 42.8%28,760, Hours in a yearHours8,760Conversion FactorWHFe, Waste heat factor for energy; represents the increased savings due to reduced waste heat from heaters that must be rejected by the refrigeration equipment NoneCooler: 1.26Freezer 1.513WHFd, Waste heat factor for energy; represents the increased savings due to reduced waste heat from heaters that must be rejected by the refrigeration equipmentNoneCooler: 1.26Freezer 1.513CF, Coincidence factorNoneUnknown control style: 0.44ON/OFF control style: 0.32Micropulse control style: 0.454Default Savings(case service temperature is unknown)Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 102: Per Door Savings with ASDHThis algorithm should only be used when the refrigerated case type or service temperature is unknown or this information is not tracked as part of the EDC data collection.DescriptionkWhper unitUnknown Control=1-PctCooler×kWhfreezerDoorFt+PctCooler×kWhcoolerDoorFtOn/Off ControlMicropulse ControlRefrigerator/Cooler?kWpeak per unit=1-PctCooler×kWfreezerDoorFt+PctCooler×kWcoolerDoorFtEnergy Impact (kWh/door)?kWh642= N×kWhper unit453682Peak Demand Impact (kW/door)?kWpeak0.072= N×?kWpeak per unit0.0520.073FreezerEnergy Impact (kWh/door)770543818Peak Demand Impact (kW/door)0.0860.0620.088Definition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 101 Anti-Sweat Heater Controls – Values and ReferencesTermUnitValuesSourceN, Number of doors or case length in linear feet having ASH controls installedNone# of doors or case length in linear feetEDC Data Gathering Rh, Residual heat fraction; estimated percentage of the heat produced by the heaters that remains in the freezer or cooler case and must be removed by the refrigeration unit None0.651Unit, Refrigeration unitDoor or ftDoor = 1Linear Feet = 2.528,760, Hours in a yearHoursyear8,760Conversion FactorRefrigerator/CoolerkWcooler base, Per door power consumption of cooler case ASHs without controlskW0.1091CHPoff, Percent of time cooler case ASH with controls will be off during the peak periodNone20%1CHAoff, Percent of time cooler case ASH with controls will be off annuallyNone85%1DFcool, Demand diversity factor of cooler, accounting for the fact that not all anti-sweat heaters in all buildings in the population are operating at the same time.None13COPcool, Coefficient of performance of coolerNone2.51FreezerkWfreezerbase, Per door power consumption of freezer case ASHs without controlskW0.1911FHPoff, Percent of time freezer case ASH with controls will be off during the peak periodNone10%1FHAoff, Percent of time freezer case ASH with controls will be off annuallyNone75%1DFfreeze, Demand diversity factor of freezer, accounting for the fact that not all anti-sweat heaters in all buildings in the population are operating at the same time.None13COPfreeze, Coefficient of performance of freezerNone1.31PctCooler, Typical percent of cases that are medium-temperature refrigerator/cooler casesNone68%4Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 102: Recommended Fully Deemed Impact EstimatesDescriptionPer DoorImpactPer Linear Ft of CaseImpactRefrigerator/CoolerEnergy Impact1,023 kWh per door409 kWh per linear ft.Peak Demand Impact0.0275 kW per door0.0110 kW per linear ft.FreezerEnergy Impact1,882 kWh per door753 kWh per linear ft.Peak Demand Impact0.0287 kW per door0.0115 kW per linear ft.Default (case service temperature unknown)Energy Impact1,298 kWh per door519 kWh per linear ft.Peak Demand Impact0.0279 kW per door0.0112 kW per linear ft.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesState of Wisconsin, Public Service Commission of Wisconsin, Focus on Energy Evaluation, Business Programs Deemed Savings Manual, March 22, 2010. HYPERLINK "" Three door heating configurations are presented in this reference: Standard, low-heat, and no-heat. The standard configuration was chosen on the assumption that low-heat and no-heat door cases will be screened from participation.Review of various manufacturers’ web sites yields 2.5’ average door length. Sites include: HYPERLINK "" HYPERLINK "" HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in Commercial and Industrial Programs, Sept 1, 2009. HYPERLINK "$FILE/TechManualNYRevised10-15-10.pdf" $FILE/TechManualNYRevised10-15-10.pdf 2010 ASHRAE Refrigeration Handbook, page 15.1 “Medium- and low-temperature display refrigerator line-ups account for roughly 68 and 32%, respectively, of a typical supermarket’s total display refrigerators.”Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Commercial Refrigeration Loadshape Project, Northeast Energy Efficiency Partnerships, October 2015. HYPERLINK "" Waste heat factor is calculated by dividing the PJM Summer Peak kW equipment and interactive savings for ASDH by the equipment savings from Table 52 of the report referenced in Source 2. Coincidence factors developed by dividing the PJM Summer Peak kW Savings for ASDH Controls from Table 52 of the referenced report (0.057 kW/door for unknown control style, 0.041 kW/door for on/off controls, and 0.058 kW/door for micropulse controls) by the average wattage of ASDH per connected door (0.13 kW).Controls: Evaporator Coil Defrost ControlMeasure NameControls: Evaporator Coil Defrost ControlTarget SectorCommercial and Industrial EstablishmentsMeasure UnitEvaporator Coil Defrost ControlUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 years Source 1Measure VintageRetrofitThis protocol applies to electric defrost control on small commercial walk-in cooler and freezer systems. A freezer refrigeration system with electric defrost is set to run the defrost cycle periodically throughout the day. A defrost control uses temperature and pressure sensors to monitor system processes and statistical modeling to learn the operation and requirements of the system. When the system calls for a defrost cycle, the controller determines if it is necessary and skips the cycle if it is not.EligibilityThis measure is targeted to non-residential customers whose equipment uses electric defrost controls on small commercial walk-in freezer systems. Acceptable baseline conditions are existing small commercial walk-in coolers or freezers without defrost controls. Efficient conditions are small commercial walk-in coolers or freezers with defrost controls installed.AlgorithmsAlgorithms for annual energy savings and peak demand savings are shown below.?kWpeak= FANS ×kWDE ×SVG ×BFkWh=?kWpeak×HOURS Definition of TermsTable 3103: Terms, Values, and References for Evaporator Coil Defrost ControlsControl – Values and ReferencesTermUnitValuesSourceFANS , Number of evaporator fansFanEDC Data Gathering EDC Data GatheringkWDE, , kW of defrost elementkWEDC Data GatheringDefault: 0.9EDC Data Gathering,21SVG, Savings percentage for reduced defrost cyclesNone30%32BF , Savings factor for reduced cooling load from eliminating heat generated by the defrost elementNoneCoolers: 1.3Freezers: 1.67See REF _Ref392665996 \h \* MERGEFORMAT Table 310443HOURS , Average annual full load defrost hoursHoursyearEDC Data GatheringDefault: 487EDC Data Gathering,54Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 104: Savings Factor for Reduced Cooling LoadEquipment TypeSavings Factor for Reduced Cooling Load (BF)Cooler1.3Freezer1.67Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesVermont Technical Reference User Manual (TRM), March 16, 2015. Pg. 171. This is a conservative estimate is based on a discussion with Heatcraft based on the components expected life. HYPERLINK "" Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Pg. 170, 2013. The total Defrost Element kW is proportional to the number of evaporator fans blowing over the coil. The typical wattage of the defrost element is 900W per fan. HYPERLINK "" Bohn <Bohn Evap 306-0D.pdf> and Larkin <LC-03A.pdf>specifications. Smart defrost kits claim 30-40% savings (with 43.6% savings by third party testing by Intertek Testing Service). MasterBilt Demand defrost claims 21% savings for northeast. Smart Defrost Kits are more common so the assumption of 30% is a conservative estimate. HYPERLINK "" ASHRAE Handbook 20142006 Refrigeration, Section 46.15.14 Figure 24.Demand Defrost Strategies in Supermarket Refrigeration Systems, Oak Ridge National Laboratory, 2011.Efficiency Vermont Technical Reference Manual, 2013. The refrigeration system is assumed to be in operation every day of the year, while savings from the evaporator coil defrost control will only occur during set defrost cycles. This is assumed to be (4) 20-minute cycles per day, for a total of 487 hours. HYPERLINK "" Variable Speed Refrigeration CompressorMeasure NameVSD Refrigeration CompressorTarget SectorCommercial and Industrial EstablishmentsMeasure UnitVSD Refrigeration CompressorUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageRetrofitVariable speed drive (VSD) compressors are used to control and reduce the speed of the compressor during times when the refrigeration system does not require the motor to run at full capacity. VSD control is an economical and efficient retrofit option for existing compressor installations. The performance of variable speed compressors can more closely match the variable refrigeration load requirements thus minimizing energy consumption. EligibilityThis measure, VSD control for refrigeration systems and its eligibility targets applies to retrofit construction in the commercial and industrial building sectors; it is most applicable to grocery stores or food processing applications with refrigeration systems. This protocol is for a VSD control system replacing a slide valve control system. AlgorithmsThe savings algorithms are shown below. There are two distinct sets of algorithms – one for if the refrigeration system is rated in tonnage, and another for if the refrigeration system is rated in horsepower.as follows:If the refrigeration system is rated in tonnage:kWh= Tons×ESvalue?kWpeak= Tons×DSvalueIf the refrigeration system is rated in horsepower:kWh= 0.212×1COP×HPcompressor445×HPcompressor×ESvalue?kWpeak= 0.212×1COP×HPcompressor×DSvalue= 0.445×HPcompressor×DSvalueDefinition of TermsTable 3104105: Terms,VSD Compressor – Values, and References for VSD CompressorsTermUnitValuesSourcesTons, Refrigeration tonnage of the systemtonEDC Data GatheringEDC Data GatheringHPcompressor, , Rated horsepower per compressorHPEDC Data GatheringEDC Data GatheringESvalue,ESvalue , Energy savings value in kWh per toncompressor HPkWhton1,696 21DSvalue,DSvalue , Demand savings value in kW per toncompressor HPkWton0.22 210.212445, Conversion factor to convert from HPton to tonHPtonHP0.2124452,3COP, Coefficient of performanceNoneEDC Data GatheringDefault for reach-in coolers = 2.04Default for reach-in freezers = 1.25Default for reach-in unknown = 1.80Default for walk-in coolers = 3.42Default for walk-in freezers = 1.00Default for walk-in unknown = 2.674Default SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. 2005 DEER (Database for Energy Efficiency Resources). This measure considered the associated savings by vintage and by climate zone for compressors. The deemed value was an average across all climate zones and all vintages (excluding new construction). HYPERLINK "" Conversion factor for HP to ton is 0.212. From HYPERLINK "" Consulting Inc., “PSC of Wisconsin, Focus on Energy Evaluation, Business Programs: Deemed Savings Potential and R&D Opportunities for Commercial Refrigeration,” U.S. Department of Energy, September 2009. TableManual V1.0, p. 4-103 to 4. HYPERLINK "" . The defaults for the “unknown” case represent a -106. Where refrigerator (medium temp: 28 °F – 40 °F) COP equals 2.5 and freezer COP (low temp: -20 °F – 0 °F) equals 1.3. The weighted average of the cooler and freezer COPs. A split of 69/31 (coolers to freezers) is assumedCOP equals 2.1, based on the Pennsylvania Act 129 Non-Residential Baseline Study.2010 ASHRAE Refrigeration Handbook, page 15.1 “Medium- and low-temperature display refrigerator line-ups account for roughly 68% and 32%, respectively, of a typical supermarket’s total display refrigerators.” Conversion factor for compressor horsepower per ton is HP/ton = 4.715/COP, using weighted average COP of 2.1. From HYPERLINK "" Curtains for Walk-In Freezers and CoolersMeasure NameStrip Curtains for Walk-In Coolers and FreezersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitWalk-in unit doorUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life4 years Source 1Measure VintageRetrofitStrip curtains are used to reduce the refrigeration load associated with the infiltration of non-refrigerated air into the refrigerated spaces of walk-in coolers or freezers. The primary cause of air infiltration into walk-in coolers and freezers is the air density difference between two adjacent spaces of different temperatures. The total refrigeration load due to infiltration through the main door into the unit depends on the temperature differential between the refrigerated and non-refrigerated airs, the door area and height, and the duration and frequency of door openings. The avoided infiltration depends on the efficacy of the newly installed strip curtains as infiltration barriers., and on the efficacy of the supplanted infiltration barriers, if applicable. The calculation of the refrigeration load due to air infiltration and the energy required to meet that load is rather straightforward, but relies on critical assumptions regarding the aforementioned operating parameters. Algorithms and All the assumptions in this protocol are drawn from a Strip Curtains measure maintainedbased on values that were determined by the RTF, which calculates savings usingdirect measurement and monitoring of over 100 walk-in units in the formulas outlined in ASHRAE's Refrigeration Handbook2006-2008 evaluation for calculating refrigeration load from infiltration by air exchange.Source 2the CA Public Utility Commission. Eligibility This protocol documents the energy savings attributed to strip curtains applied on walk-in cooler and freezer doors in commercial applications. The most likely areas of application are large and small grocery stores, supermarkets, restaurants, and refrigerated warehouses. The baseline case is a walk-in cooler or freezer that previously had either no strip curtain installed or an old, ineffective strip curtain installed. The efficient equipment is a strip curtain added to a walk-in cooler or freezer. Strip curtains must be at least 0.06 inches thick. Low temperature strip curtains must be used on low temperature applications. AlgorithmsAlgorithms forkWh= ?kWhsqft×A?kWpeak= ?kWsqft×AThe annual energy savings due to infiltration barriers is quantified by multiplying savings per square foot by area using assumptions for independent variables described in the protocol introduction. The source algorithm from which the savings per square foot values are determined is based on Tamm’s equation (an application of Bernoulli’s equation) and the ASHRAE handbook. To the extent that evaluation findings are able to provide more reliable site specific inputs assumptions, they may be used in place of the default per square foot savings using the following equation. kWhsqft=365×topen×ηnew-ηold×20×CD×A×Ti-TrTi×g×H0.5×ρi×hi-ρr×hr3,412BtukWh×COPadj×AThe peak demand savings are shown below.reduction is quantified by multiplying savings per square foot by area. The source algorithm is the annual energy savings divided by 8,760. This assumption is based on general observation that refrigeration is constant for food storage, even outside of normal operating conditions. This is the most conservative approach in lieu of a more sophisticated model. kWh= ?kWhft2×A?kWpeak= ?kWft2×ADefinition of Terms?kWpeaksqft= ?kWh8,760The ratio of the average energy usage during Peak hours to the total annual energy usage is taken from the load shape data collected by ADM for a recent evaluation for the CA Public Utility Commission in the study of strip curtains in supermarkets, convenience stores, and restaurants. Definition of TermsTable 3105106: Terms, Values, and References for : Strip CurtainsCurtain Calculation AssumptionsTermUnitValuesSource?kWhft2, Average annual kWh savings per square foot of infiltration barrier?kWhft2Default: REF _Ref532984468 \h Table 3107Calculated2Calculated?kWft2, , Average kW savings per square foot of infiltration barrier?kWft2Default: REF _Ref532984468 \h Table 3107Calculated2CalculatedA, Doorway area20, Product of 60 seconds per minute and an integration factor of 1/3ft2secminEDC Data GatheringDefault: REF _Ref532984447 \h Table 31062024g, Gravitational constant fts232.174Constant3,412, Conversion factor: number of Btus in one kWhBtukWh3,412Conversion factorTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 106: Doorway Area AssumptionsTypeDoorway Area, ft2Grocery - Cooler21Grocery - Freezer21Convenience Store - Cooler21Convenience Store - Freezer21Restaurant - Cooler21Restaurant - Freezer21Refrigerated Warehouse - Cooler120Default SavingsThe default savings values, per square foot, are listed in REF _Ref532984468 \h Table 3107. Default square footage values by facility type are listed in REF _Ref532984447 \h Table 3106. The defaults are drawn from a Strip Curtains measure maintained by the RTF. The default savings values are listed in REF _Ref301909337 \h \* MERGEFORMAT Table 3107. Default parameters used in the source equations are listed in REF _Ref392859246 \h Table 3108, REF _Ref301896507 \h \* MERGEFORMAT Table 3109, REF _Ref301896508 \h \* MERGEFORMAT Table 3110, and REF _Ref301896509 \h \* MERGEFORMAT Table 3111. The source equations and the values for the input parameters are adapted from the 2006-2008 California Public Utility Commission’s evaluation of strip curtains. The original work included 8,760-hourly bin calculations. The values used herein represent annual average values. For example, the differences in the temperature between the refrigerated and infiltrating airs are averaged over all times that the door to the walk-in unit is open. Recommendations made by the evaluation team have been adopted to correct for errors observed in the ex ante savings calculation. As for the verified savings for all strip curtains installed in the refrigerated warehouses, the study found several issues that resulted in low realization rates despite the relatively high savings if the curtains are found to be installed in an actual warehouse. The main factor was the misclassification of buildings with different end-use descriptions as refrigerated warehouses. For example, the EM&C contractor found that sometimes the facilities where the curtains were installed were not warehouses at all, and sometimes the strip curtain installations were not verified. The Commission, therefore, believes that the savings for strip curtains installed at an actual refrigerated warehouse should be much higher. To accurately estimate savings for this measure, the Commission encourages the EDCs to use billing analysis for refrigerated warehouses for projects selected in the evaluation sample. Table 3107: Default Energy Savings and Demand Reductions for Strip Curtains per Square FootTypePre-existing CurtainsEnergy Savings, ?kWhft2Demand Savings, ?kWft2 ?kWhft2GrocerySupermarket - Cooler123Yes370.01600042Supermarket - CoolerNo1080.0123Supermarket - CoolerUnknown1080.0123GrocerySupermarket - Freezer535Yes1190.06590136Supermarket - FreezerNo3490.0398Supermarket - FreezerUnknown3490.0398Convenience Store - Cooler19Yes50.00250006Convenience Store - CoolerNo200.0023Convenience Store - CoolerUnknown110.0013Convenience Store - Freezer31Yes80.00380009Convenience Store - FreezerNo270.0031Convenience Store - FreezerUnknown170.0020Restaurant - Cooler24Yes80.00310009Restaurant - CoolerNo300.0034Restaurant - CoolerUnknown180.0020Restaurant - Freezer129Yes340.01580039Restaurant - FreezerNo1190.0136Restaurant - FreezerUnknown810.0092Refrigerated Warehouse - Cooler410Yes2540.05320290Refrigerated WarehouseNo7290.0832Refrigerated WarehouseUnknown2870.0327Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 108: Strip Curtain Calculation Assumptions for SupermarketsTermUnitValuesSourceCoolerFreezerηnew , Efficacy of the new strip curtain – an efficacy of 1 corresponds to the strip curtain thwarting all infiltration, while an efficacy of zero corresponds to the absence of strip curtains.None0.880.881ηold , Efficacy of the old strip curtainwith Pre-existing curtainwith no Pre-existing curtainunknownNone0.580.000.000.580.000.001Cd , Discharge Coefficient: empirically determined scale factors that account for differences between infiltration as rates predicted by application Bernoulli’s law and actual observed infiltration ratesNone0.3660.4151topen , Minutes walk-in door is open per dayminutesday1321021A , Doorway area ft235351H, Doorway heightft771Ti, Dry-bulb temperature of infiltrating air, Rankine= Fahrenheit + 459.67°F71671 and 2Tr, Dry-bulb temperature of refrigerated air, Rankine= Fahrenheit + 459.67°F3751ρi , Density of the infiltration air, based on 55% RHlbft30.0740.0743hi, Enthalpy of the infiltrating air, based on 55% RH.Btulb26.93524.6783ρr, Density of the refrigerated air, based on 80% RH.lbft30.0790.0853hr , Enthalpy of the refrigerated air, based on 80% RH.Btulb12.9332.0813COPadj, Time-dependent (weather dependent) coefficient of performance of the refrigeration system. Based on nominal COP of 1.5 for freezers and 2.5 for coolers. None3.071.951 and 2Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 109: Strip Curtain Calculation Assumptions for Convenience StoresTermUnitValuesSourceCoolerFreezerηnew , Efficacy of the new strip curtain – an efficacy of 1 corresponds to the strip curtain thwarting all infiltration, while an efficacy of zero corresponds to the absence of strip curtains.None0.790.831ηold , Efficacy of the old strip curtainwith Pre-existing curtainwith no Pre-existing curtainunknownNone0.580.000.340.580.000.301Cd , Discharge Coefficient: empirically determined scale factors that account for differences between infiltration as rates predicted by application Bernoulli’s law and actual observed infiltration ratesNone0.3480.4211topen , Minutes walk-in door is open per day minutesday3891A , Doorway areaft221211H, Doorway heightft771Ti, Dry-bulb temperature of infiltrating air, Rankine= Fahrenheit + 459.67°F68641 and 2Tr, Dry-bulb temperature of refrigerated air, Rankine= Fahrenheit + 459.67°F3951ρi , Density of the infiltration air, based on 55% RHlbft30.0740.0753hi, Enthalpy of the infiltrating air, based on 55% RH.Btulb25.22723.0873ρr, Density of the refrigerated air, based on 80% RH.lbft30.0790.0853hr , Enthalpy of the refrigerated air, based on 80% RH.Btulb13.750 2.0813COPadj, Time-dependent (weather dependent) coefficient of performance of the refrigeration system. Based on nominal COP of 1.5 for freezers and 2.5 for coolers.None3.071.951 and 2Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 110: Strip Curtain Calculation Assumptions for RestaurantsTermUnitValuesSourceCoolerFreezerηnew , Efficacy of the new strip curtain – an efficacy of 1 corresponds to the strip curtain thwarting all infiltration, while an efficacy of zero corresponds to the absence of strip curtains.None0.800.811ηold , Efficacy of the old strip curtainwith Pre-existing curtainwith no Pre-existing curtainunknownNone0.580.000.330.580.000.261Cd , Discharge Coefficient: empirically determined scale factors that account for differences between infiltration as rates predicted by application Bernoulli’s law and actual observed infiltration ratesNone0.3830.4421topen , Minutes walk-in door is open per day minutesday45381A , Doorway areaft221211H, Doorway heightft771Ti, Dry-bulb temperature of infiltrating air, Rankine= Fahrenheit + 459.67°F70671 and 2Tr, Dry-bulb temperature of refrigerated air, Rankine= Fahrenheit + 459.67°F3981ρi , Density of the infiltration air, based on 55% RHlbft30.0740.0743hi, Enthalpy of the infiltrating air, based on 55% RH.Btulb26.35624.6783ρr, Density of the refrigerated air, based on 80% RH.lbft30.0790.0853hr , Enthalpy of the refrigerated air, based on 80% RH.Btulb13.7502.9483COPadj, Time-dependent (weather dependent) coefficient of performance of the refrigeration system. Based on nominal COP of 1.5 for freezers and 2.5 for coolers.None3.071.951 and 2Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 111: Strip Curtain Calculation Assumptions for Refrigerated WarehousesTermUnitValuesSourceηnew , Efficacy of the new strip curtain – an efficacy of 1 corresponds to the strip curtain thwarting all infiltration, while an efficacy of zero corresponds to the absence of strip curtains.None0.891ηold , Efficacy of the old strip curtain with Pre-existing curtainwith no Pre-existing curtainunknownNone0.580.000.541Cd , Discharge Coefficient: empirically determined scale factors that account for differences between infiltration as rates predicted by application Bernoulli’s law and actual observed infiltration ratesNone0.4251topen , Minutes walk-in door is open per day minutesday4941A , Doorway areaft2801H, Doorway heightft101Ti, Dry-bulb temperature of infiltrating air, Rankine= Fahrenheit + 459.67°F591 and 2Tr, Dry-bulb temperature of refrigerated air, Rankine= Fahrenheit + 459.67°F281ρi , Density of the infiltration air, based on 55% RHlbft30.0763hi, Enthalpy of the infiltrating air, based on 55% RH.Btulb20.6093ρr, Density of the refrigerated air, based on 80% RH.lbft30.0813hr , Enthalpy of the refrigerated air, based on 80% RH.Btulb9.4623COPadj, Time-dependent (weather dependent) coefficient of performance of the refrigeration system. Based on nominal COP of 1.5 for freezers and 2.5 for coolers.None1.911 and 2Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings according to store type. The strip curtains are not expected to be installed directly. As such, the program tracking / evaluation effort must capture the following key information:Fraction of strip curtains installed in each of the categories (e.g. freezer / cooler and store type)Doorway areaFraction of customers that had pre-existing strip curtainsThe rebate forms should track the above information. During the M&V process, interviews with site contacts should track this fraction, and savings should be adjusted accordingly.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Database for UES Measures, Regional Technical Forum. Strip Curtains, version 1.7. December 2016. HYPERLINK "" The scale factors have been determined with tracer gas measurements on over 100 walk-in refrigeration units during the California Public Utility Commission’s evaluation of the 2006-2008 CA investor owned utility energy efficiency programs. The door-open and close times, and temperatures of the infiltrating and refrigerated airs are taken from short-term monitoring of over 100 walk-in units. HYPERLINK "" . For refrigerated warehouses, we used a bin calculation method to weight the outdoor temperature by the infiltration that occurs at that outdoor temperature. This tends to shift the average outdoor temperature during times of infiltration higher (e.g. from 54 °F year-round average to 64 °F). We also performed the same exercise to find out effective outdoor temperatures to use for adjustment of nominal refrigeration system COPs.Density and enthalpy of infiltrating and refrigerated air are based on psychometric equations based on the dry bulb temperature and relative humidity. Relative humidity is estimated to be 55% for infiltrating air and 80% for refrigerated air. Dry bulb temperatures were determined through the evaluation cited in Source 1. In the original equation (Tamm’s equation) the height is taken to be the difference between the midpoint of the opening and the ‘neutral pressure level’ of the cold space. In the case that there is just one dominant doorway through which infiltration occurs, the neutral pressure level is half the height of the doorway to the walk-in refrigeration unit. The refrigerated air leaks out through the lower half of the door, and the warm, infiltrating air enters through the top half of the door. We deconstruct the lower half of the door into infinitesimal horizontal strips of width W and height dh. Each strip is treated as a separate window, and the air flow through each infinitesimal strip is given by 60 x CD x A x {[(Ti – Tr ) / Ti ] x g x ΔHNPL }^0.5 where ΔHNPL represents the distance to the vertical midpoint of the door. In effect, this replaces the implicit wh1.5 (one power from the area, and the other from ΔHNPL ) with the integral from 0 to h/2 of wh’0.5 dh’ which results in wh1.5/(3×20.5?). For more information see: Are They Cool(ing)?:Quantifying the Energy Savings from Installing / Repairing Strip Curtains, Alereza, Baroiant, Dohrmann, Mort, Proceedings of the 2008 IEPEC Conference.Night Covers for Display CasesMeasure NameNight Covers for Display CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitDisplay CaseUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life5 years Source 1,Measure VintageRetrofitNight covers are deployed during the facility’s unoccupied hours in order to reduce refrigeration energy consumption. Measure VintageRetrofitEligibilityThe main benefit of using night covers on open display cases is a reduction of infiltration and radiation cooling loads.EligibilityThis measure documents the energy savings associated with the installation of night covers on existing open-type refrigerated display cases., where covers are deployed during the facility’s unoccupied hours in order to reduce refrigeration energy consumption. These types of display cases can be found in small and medium to large size grocery stores. The air temperature is below 0 °F for low-temperature display cases, between 0 °F to 30 °F for medium-temperature display cases, and between 35 °F to 55 °F for high-temperature display cases. The main benefit of using night covers on open display cases is a reduction of infiltration and radiation cooling loads..Source 2 It is recommended that these covers have small, perforated holes to decrease moisture buildup. AlgorithmsThe energy savings and demand reduction are obtained through the following calculation.kWh= W×SF×HOUThere are no demand savings for this measure because the covers will not be in use during the peak period. The annual energy savings are obtained through the calculation shown below.Source 3.Definition of TermskWh= W×SF×HOUDefinition of TermsTable 3108112: Terms, Values, and References for: Night Covers Calculations Assumptions TermUnitValuesSourceW, Width of the opening that the night covers protect ftEDC Data GatheringEDC Data GatheringSF, Savings factor based on the temperature of the case kWftDefault: REF _Ref532466287 \h Table 3109Default values in REF _Ref394649728 \h \* MERGEFORMAT Table 311331HOU, Annual hours that the night covers are in useHoursYearEDC Data GatheringDefault =: 2,190EDCEDCs Data Gathering4Table 3109113: Savings FactorsCooler Case TemperatureSavings FactorLow Temperature (-35 F to -5 F)0.03 kW/ftMedium Temperature (0 F to 30 F)0.02 kW/ftHigh Temperature (35 F to 55 F)0.01 kW/ftUnknown0.01 kW/ftThe demand and energy savings assumptions are based on analysis performed by Southern California Edison (SCE). SCE conducted this test at its Refrigeration Technology and Test Center (RTTC). The RTTC’s sophisticated instrumentation and data acquisition system provided detailed tracking of the refrigeration system’s critical temperature and pressure points during the test period. These readings were then utilized to quantify various heat transfer and power related parameters within the refrigeration cycle. The results of SCE’s test focused on three typical scenarios found mostly in supermarkets. Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Massachusetts Technical Reference Manual, October 2015, pg. 261. HYPERLINK "" CL&P Program Savings Documentation for 20162011 Program Year (2015). Pg. 96.2010). Factors based on Southern California Edison (1997). Effects of the Low Emissive Shields on Performance and Power Use of a Refrigerated Display Case. HYPERLINK "" HYPERLINK "" default is based on 6 hours per night, 365 days per year. The SCE paper noted in Source 3 assumes covers are deployed for 6 hours daily.Auto ClosersMeasure NameAuto ClosersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitWalk-in Cooler and Freezer DoorUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life8 years Source 1Measure VintageRetrofitThe auto-closer should be applied to the main insulated opaque door(s) of a walk-in cooler or freezer. Auto-closers on freezers and coolers can reduce the amount of time that doors are open, thereby reducing infiltration and refrigeration loads. These measures are for retrofit of doors not previously equipped with auto-closers, and assume the doors have strip curtains. EligibilityThis protocol documents the energy savings attributed to installation of auto closers in walk-in coolers and freezers. The auto-closer must be able to firmly close the door when it is within one inch of full closure. The walk-in door perimeter must be ≥ 16 feetft.AlgorithmsThe energy and demand savings for this measure were developed based on an SCE working paper regarding refrigerated storage auto closers.Source 2 The paper notes that, “energy savings were determined through building simulation in eQUEST 3.65 Refrigeration. Only the Grocery building type was simulated, and its savings were used for other building types because walk-in coolers and freezers generally have the same characteristics regardless of building type.” Additionally, it is noted that peak demand savings were calculated by averaging the demand during the DEER peak period. This period varies by California climate zone. The working paper provided savings values for each of California’s 16 climate zones. For Pennsylvania, energy savings were extrapolated via a regression model that predicted energy savings based on HDD and CDD (using data from the 16 California climate zones). Average HDD and CDD for the nine Pennsylvania weather cities were plugged into the regression model. Peak demand savings from the SCE study could not be modeled as a function of HDD and CDD, so the peak demand savings from the California climate zone most similar to the Pennsylvania weather cities (in terms of CDD and HDD) were chosen (zone 16).Auto-closers are treated in the Database for Energy Efficient Resources (DEER) as weather-sensitive; therefore the recommended deemed savings values indicated below are derived from the DEER runs. Climate zone 4 has been chosen as the most similar zone to the climate zones of the main seven Pennsylvania cities. This association is based on cooling degree hours (CDHs) and wet bulb temperatures. Savings estimates for each measure are averaged across six building vintages for climate-zone 4 and building type 9, Grocery Stores. The peak demand savings provided by DEER was calculated using the following peak definition:“The demand savings due to an energy efficiency measure is calculated as the average reduction in energy use over a defined nine-hour demand period.” The nine hours correspond to 2 PM through 5 PM during 3-day heat waves. Main Cooler DoorskWh= ?kWhcooler?kWpeak= ?kWcoolerMain Freezer DoorskWh= ?kWhfreezer?kWpeak= ?kWfreezerDefinition of TermsTable 3110114: Terms, Values, and References for: Auto Closers Calculation AssumptionsTermUnitValuesSource?kWhcooler, Annual kWh savings for main cooler doorskWh REF _Ref395532976 \h \* MERGEFORMAT Table 3111 REF _Ref395532976 \h Table 311521?kWcooler, Summer peak kW savings for main cooler doorskW REF _Ref395532976 \h \* MERGEFORMAT Table 3111 REF _Ref395532976 \h Table 311521?kWhfreezer, Annual kWh savings for main freezer doorskWh REF _Ref395532976 \h \* MERGEFORMAT Table 3111 REF _Ref395532976 \h Table 311521?kWfreezer, Summer peak kW savings for main freezer doorskW REF _Ref395532976 \h \* MERGEFORMAT Table 3111 REF _Ref395532976 \h Table 311521DefaultDeemed SavingsTable 3111115: Refrigeration Auto Closers DefaultDeemed SavingsReference CityCooler/UnknownAssociated California Climate ZoneFreezerValueCoolerFreezerkWhcoolerkWcoolerkWhfreezerkWfreezerAll PA cities73749610.4631351,99723190.488327Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Southern California Edison, “Refrigerated Storage Auto Closer”, Workpaper SCE17RN024, Measure R79 (Cooler) & R80 (Freezer). HYPERLINK "" . 2005 DEER weather sensitive commercial data; DEER Database, HYPERLINK "" Door Gaskets for Walk-in and Reach-in Coolers and FreezersMeasure NameDoor Gaskets for Walk-in and Reach-in Coolers and FreezersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitDoor GasketWalk-in Coolers and FreezersUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life4 years Source 1Measure VintageReplace on BurnoutThe following protocol for the measurement of energy and demand savings is applicable to commercial refrigeration and applies to the replacement of worn-out gaskets with new better-fitting gaskets. Applicable gaskets include those located on the doors of walk-in and/or reach-in coolers and freezers. Tight fitting gaskets inhibit infiltration of warm, moist air into the cold refrigerated space, thereby reducing the cooling load. Aside from the direct reduction in cooling load, the associated decrease in moisture entering the refrigerated space also helps prevent frost on the cooling coils. Frost build-up adversely impacts the coil’s, heat transfer effectiveness, reduces air passage (lowering heat transfer efficiency), and increases energy use during the defrost cycle. Therefore, replacing defective door gaskets reduces compressor run time and improves the overall effectiveness of heat removal from a refrigerated cabinet. Eligibility This protocol applies to the main doors of both low temperature (“freezer” – below 32 °F) and medium temperature (“cooler” – above 32 °F) walk-ins and reach-ins..AlgorithmsThe demand and energy savings assumptions are based on analysis performed by Southern California Edison. The energy savings and demand reduction are obtained through the following calculations:The energy savings and demand reduction are obtained through the following calculations:kWh= ?kWhft×L?kWpeak= ?kWft×LkWh= ?kWhDoor×Doors?kWpeak= ?kWDoor×DoorsDefinition of TermsDefinition of TermsTable 3112116: Terms, Values, and References for Door GasketsGasket AssumptionsTermUnitValuesSource?kWhDoor, Annual energy savings per gasket door?kWhDoor REF _Ref395167019 \h \* MERGEFORMAT Table 31132?kWDoor, Demand savings per gasket door?kWDoor REF _Ref395167019 \h \* MERGEFORMAT Table 31132Doors, Total number of gasket doors replaced DoorsAs MeasuredEDC Data GatheringTermUnitValuesSource?kWhft, Annual energy savings per linear foot of gasket?kWhft REF _Ref395167019 \h \* MERGEFORMAT Table 31171?kWft, Demand savings per linear foot of gasket?kWft REF _Ref395167019 \h \* MERGEFORMAT Table 31171L, Total gasket length ftAs MeasuredEDC Data GatheringDefault SavingsThe default savings values below are drawn from a door gasket replacement measure maintained by weather sensitive, therefore the RTF.Source 2 Energy and values reference CA climate zone 4, which is the zone chosen as the most similar to the seven major Pennsylvania cities. The demand and energy savings assumptions are derived from a mixture of logger databased on DEER 2005 and a direct impact evaluation. Savings for freezers are less than savings for coolers for reach-ins but not walk-ins – this is largely due to HVAC interactions captured in the studyanalysis performed by Southern California Edison (SCE).Table 3113117: Door Gasket Savings Per DoorLinear Foot for Walk-in and Reach-in Coolers and FreezersTypeCoolersFreezers?kWDoor?kWhDoor?kWDoor?kWhDoorReach-in0.0322480.032243Walk-in0.0272040.045347Building TypeCoolersFreezers?kWft?kWhft?kWft?kWhftRestaurant0.000886180.00187163Small Grocery Store/ Convenience Store0.000658150.0016264Medium/Large Grocery Store/ Supermarkets0.0006425150.00159391Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission2005 DEER weather sensitive commercial data; DEER Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Database for UES Measures, Regional Technical Forum. Door Gasket Replacement, version 1.5. December 2016. HYPERLINK "" HYPERLINK "" Special Doors with Low or No Anti-Sweat Heat for Reach-In Freezers and CoolersLow Temp CaseMeasure NameSpecial Doors with Low or No Anti-Sweat Heat for Low Temperature CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer DoorMeasure Life12 years Source 1Measure UnitDisplay CasesUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageRetrofitTraditional clear glass display case doors consist of two-pane glass (three-pane in low and medium temperature cases)), and aluminum doorframes and door rails. Glass heaters may be included to eliminate condensation on the door or glass. The door heaters are traditionally designed to overcome the highest humidity conditions as cases are built for nation-wide applications. New low heat/no heat door designs incorporate heat reflective coatings on the glass, gas inserted between the panes, non-metallic spacers to separate the glass panes, and/or non-metallic frames (such as fiberglass). Using low-heat or no-heat doors can reduce the energy consumption of the case by using lower wattage heaters or a reduced number of total heaters per door. The savings results from reduced electric energy consumed by the heaters, and from the reduced cooling load on the refrigeration system.This protocol documents the energy savings attributed to the installation of special glass doors with w/low/no anti-sweat heaters for reach-in coolers or freezerslow temp cases. The primary focus of this rebate measure is on new cases to incent customers to specify advanced doors when they are purchasing refrigeration cases. Eligibility For this measure, a no-heat/low-heat clear glass door must be installed on an upright display case. It is limited to door heights of 57 inches or more. Doors must have either heat reflective treated glass, be gas filled, or both. The baseline is assumed to be standard energy doors.This measure applies to low temperature cases only—those with a case temperature below 0°F. Doors must have 3 or more panes. Total door rail, glass, and frame heater amperage (@ 120 volt) cannot exceed 0.39 amps per door for low temperature display cases. Rebate is based on the door width (not including case frame). AlgorithmsAlgorithmsThe energy savings and demand reduction are obtained through the following calculations adopted from the Wisconsin Focus on Energy 2018 TRM.Source 2San Diego Gas & Electric Statewide Express Efficiency Program . Assumptions: Indoor Dry-Bulb Temperature of 75 oF and Relative Humidity of 55%, (4-minute opening intervals for 16-second), neglect heat conduction through doorframe / assembly. Compressor Savings (excluding condenser): kWcompressor=11000× Qcooling_svgEER?kWhcompressor=?kW ×EFLHQcooling_svg=Qcooling×KASHAnti-Sweat Heater Savings: kWASH= ? ASH1000?kWhASH=?kWASH×tDefinition of TermskWh=11,000× Wattsbase-Wattsee*1+1COP*HOU?kWpeak=?kWhHOUDefinition of TermsTable 3114118: Terms, Values, and References for : Special Doors with Low or No Anti-Sweat Heat for Low Temp Case Calculations AssumptionsTermUnitValuesSource11,000, Conversion from watts to kWkWW11,000Conversion factorWattsbase, Wattage of standard door heatersWNameplate Input WattageEDC Data GatheringWattsee, Wattage of low-heat or no-heat doorsWNameplate Input WattageEDC Data GatheringCOP, Coefficient of performanceNoneCoolers: 2.04Freezers: 1.253HOU, Annual hours of useHoursEDC Data GatheringDefault: 8,760Conversion factorQcooling , Case rating by manufacturerBtuhr×1doorFrom nameplateEDC Data GatheringQcooling_svg , Cooling savingsBtuhr×1doorCalculated ValueCalculated Value kWcompressor , Compressor power savings kWdoorCalculated ValueCalculated Value?kWASH, Reduction due to ASH kWdoorCalculated ValueCalculated ValueKASH, % of cooling load reduction due to low anti-sweat heater None1.5%1? ASH, Reduction in ASH power per door Wdoor831?kWhcompressor, Annual compressor energy savings (excluding condenser energy)kWhdoorCalculated ValueCalculated Value?kWhASH, Annual reduction in energy kWhdoorCalculated ValueCalculated ValueEER, Compressor rating from manufacturerNoneNameplateEDC Data GatheringEFLH, Equivalent full load annual operating hoursHoursYearBased on Logging, BMS data or ModelingEDC Data GatheringDefault: 5,7001t, Annual operating hours of Anti-sweat heaterHoursYear8,7601Default SavingsThere are no default savings for this measure. Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Wisconsin Focus on Energy 2018 Technical Reference Manual, Refrigeration: Energy-Efficient Case Doors. Page 577. HYPERLINK "" Consulting Inc., “Energy Savings Potential and R&D Opportunities for Commercial Refrigeration,” U.S. Department of Energy, September 2009. Table 4-4. HYPERLINK "" San Diego Gas & Electric Statewide Express Efficiency Program HYPERLINK "" Suction Pipe Insulation for Walk-In Coolers and Freezers Measure NameSuction Pipe Insulation for Walk-In Coolers and FreezersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer Linear Foot of InsulationWalk-In Coolers and FreezersUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life11 years Source 1,Measure VintageRetrofitThis measure applies to the installation of insulation on existing bare suction lines (the larger diameter lines that run from the evaporator to the compressor) that are located outside of the refrigerated space for walk-in coolers and freezers. Insulation impedes heat transfer from the ambient air to the suction lines, thereby reducing undesirable system superheat. This decreases the load on the compressor, resulting in decreased compressor operating hours, and energy savings. EligibilityThis protocol documents the energy savings attributed to insulation of bare refrigeration suction pipes. The following are the eligibility requirements: Must insulate bare refrigeration suction lines 1-5/8 inches in diameter or less on existing equipment only;Medium temperature lines require 3/4 inch of flexible, closed-cell, nitrite rubber or an equivalent insulation;Low temperature lines require 1-inch of insulation that is in compliance with the specifications above; andInsulation exposed to the outdoors must be protected from the weather (i.e. jacketed with a medium-gauge aluminum jacket). Source 2)AlgorithmsThe demand and energy savings assumptions are based on DEER 2005 and analysis performed by Southern California Edison (SCE).Source 1). Measure savings per linear foot of insulation installed on bare suction lines in Restaurants and Grocery Stores areis provided in REF _Ref533179301 \h \* MERGEFORMAT Table 3116. These savings were extrapolated via a regression model that predicted REF _Ref395533236 \h Table 3119 and REF _Ref395533222 \h Table 3120 below lists the “default” savings for each of California’s 16 climate zones based on CDD. Average CDDthe associated with California Climate Zone 4 which has been chosen as the representative zone for the nineall seven major Pennsylvania weather cities was plugged into the regression models. .kWh= ?kWhft×L?kWpeak= ?kWft×LDefinition of TermskWh= ?kWhft×L?kWpeak= ?kWft×LDefinition of TermsTable 3115119: Terms, Values, and References for: Insulate Bare Refrigeration Suction Pipes Calculations AssumptionsTermUnitValuesSource?kWhft, Annual energy savings per linear foot of insulation?kWhftDefault: REF _Ref533179301 \h Table 3116 REF _Ref395533222 \h Table 31201?kWft, Demand savings per linear foot of insulation?kWftDefault: REF _Ref533179301 \h Table 3116 REF _Ref395533222 \h Table 31201L, Total insulation length ft.As MeasuredEDC Data Gathering Default Savings REF _Ref533179301 \h \* MERGEFORMAT Table 3116 shows default savings per linear foot for this measure. To calculate annual energy savings and peak demand savings, multiply the values shown in REF _Ref533179301 \h \* MERGEFORMAT Table 3116 by the total insulation length (L).Table 3116120: Insulate Bare Refrigeration Suction Pipes Savings per Linear Foot for Walk-in Coolers and Freezers of Restaurants and Grocery StoresCityAssociated California Climate ZoneMedium-Temperature Walk-in CoolersLow-Temperature Walk-in FreezersΔkW/ft.ΔkWh/ft.ΔkW/ft.ΔkWh/ft.All PA cities40.0050021924.811.30.01600272685.514.8Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesSouthern California Edison Company, “Insulation of Bare Refrigeration Suction Lines”, Work Paper SCE13RN003. HYPERLINK "" . Commonwealth Edison Refrigeration Incentives Worksheet 2018. Display Cases with Doors Replacing Open CasesMeasure NameRefrigerated Display Cases with Doors Replacing Open CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigerated Display CaseUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life12 years Source 1Measure VintageEarly ReplacementThis measure considers the replacement of existing vertical open display cases with new closed display cases. The baseline equipment is an average existing medium temperature vertical open display case. The doors on the new cases must be no sweat (also known as zero heat). The display cases should be medium temperature (typically for dairy, meats, or beverages) as opposed to low temperature (typically for frozen food and ice cream). This calculation quantifies the infiltration savings seen by the compressor. Lighting or other upgrades should be considered as separate projects. EligibilityThe eligible equipment is a new case with no sweat doors that meets federal standard requirements. If a lighting retrofit is included with the new case, it must consume the same amount of energy or less than the old lighting. Upgrades to lighting or other system components should be processed separately. Horizontal cases are not eligible and should be processed as custom.AlgorithmsDeemed energy savings per linear foot of case are based on a project that compared a typical open refrigerated display case line-up to a typical glass-doored refrigerated display case line-up.Source 2CLEAResult Work Paper.kWh =Energy Savings×Case Width?kWpeak=Energy Savings8760Demand Savings ×Case WidthDefinition of TermsTable 3117121: Terms, Values, and References: Assumptions for Adding Doors to Refrigerated Display Cases with Doors Replacing Open CasesTermUnitValuesSourceEnergy Savings, Deemed energy savings per linear foot of casekWhft404.42Case Width, Width of case opening in feetftEDC Data GatheringEDC Data GatheringEnergy SavingskWhft495.851Demand SavingskWft0.04371Case WidthftEDC Data Gathering EDC Data GatheringDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Fricke, Brian and Becker, Bryan, "Energy Use of Doored and Open Vertical Refrigerated Display Cases" (2010). International Refrigeration and Air Conditioning Conference. Paper 1154. Values derived from Table 1 and the relative width of the display cases used in the study (without anti-sweat heaters). Energy savings assume 365.25 days of annual operation. Demand savings assume flat energy savings throughout the day. HYPERLINK "" Work Paper for Adding Doors to Existing Refrigerated Display Cases. CLEAResult. August 2014.Adding Doors to Existing Refrigerated Display CasesMeasure NameAdding Doors to Existing Refrigerated Display CasesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigerated Display CaseUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life12 years Source 1Measure VintageRetrofitThis measure considers adding doors to existing vertical open display cases. The baseline equipment is an existing vertical display case of medium temperature with no doors. The display cases should be medium temperature (typically for dairy, meats, or beverages) as opposed to low temperature (typically for frozen food and ice cream). The added doors may be no sweat (also known as zero heat) or they may contain anti-sweat heaters. This calculation quantifies infiltration savings which are realized at the compressor due to reduced load. Lighting or other upgrades should be considered as separate projects. EligibilityThe eligible retrofit equipment is either no sweat doors or doors with anti-sweat heaters. If a lighting retrofit is included with the new doors, it must consume the same amount of energy or less energy than the old lighting. Upgrades to lighting or other system components should be processed separately. Horizontal cases are not eligible and should be processed as custom.AlgorithmsAlgorithms for annualDeemed energy savings and peak demand savingsper linear foot of case are shown below. Demand savings assume flat energy savings throughout the day. based on a CLEAResult Work Paper.kWh =ESFEnergy Savings×Case Width×Daily Compressor kWhFoot×Days?kWpeak=kWh 8760=Demand Savings ×Case WidthDefinition of TermsDefinition of TermsTable 3118122: Terms, Values, and References: Assumptions for Adding Doors to Refrigerated Display CasesTermUnitValuesSourceESF, Energy savings factor. Percent of baseline energy consumption saved by adding doors.NoneDefault without anti-sweat heaters: 87%Default with anti-sweat heaters: 52%2, 3Case Width, Width of case opening in feetftEDC Data GatheringEDC Data GatheringDaily Compressor kWhFoot, Average daily compressor energy usage per linear foot of display casekWh/dayftEDC Data GatheringDefault = 1.763Days, Annual days of operationDaysEDC Data GatheringDefault = 365.25EDC Data GatheringDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Faramarzi, R.T., Coburn, B.A., Sarhadian, R., 2002, Performance and Energy Impact of Installing Glass Doors on an Open Vertical Deli/Dairy Display Case, ASHRAE Trans., vol. 108, no. 1: p. 673-679. The authors conclude that installing glass doors on an open vertical refrigerated display case results in an 87% reduction in compressor power demand.Fricke, Brian and Becker, Bryan, "Energy Use of Doored and Open Vertical Refrigerated Display Cases" (2010). International Refrigeration and Air Conditioning Conference. Paper 1154. For a 24-ft open display case line-up, average daily compressor energy consumption was 42.20 kWh (Table 1), or 1.76 kWh/ft. Average daily energy consumption of anti-sweat heaters is estimated to be 0.61 kWh/ft – about 35% of baseline compressor energy usage. The ESF is then estimated to be 52% (87% - 35%) in cases where anti-sweat heaters are added. HYPERLINK "" Air-Cooled Refrigeration CondenserTarget SectorCommercial and Industrial EstablishmentsMeasure UnitRefrigeration CondenserMeasure Life15 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionThis measure involves installing an efficient, close-approach (“Approach” or “TD” refers to the temperature difference between the design condensing temperature and the design ambient outdoor temperature.) air-cooled refrigeration system condenser, which saves energy by reducing condensing temperatures and improving the efficiency of the condenser fan system.EligibilityThis protocol documents energy savings attributed to providing an efficient air-cooled refrigeration system condenser for commercial and industrial refrigeration applications. This measure requires new equipment with an approach temperature of 13?F or less on low-temperature applications and an approach temperature of 8?F or less on medium-temperature applications. Specific fan power must be greater than or equal to 85 Btu/hr of heat rejection capacity per watt of fan power.AlgorithmsThe baseline condition is assumed to be a standard efficiency air-cooled refrigeration system condenser with a 20?F approach temperature on low-temperature applications and a 15?F approach temperature on medium-temperature applications. The baseline equipment incorporates a fan with 45 Btu/hr of heat rejection capacity per watt of fan power. The unit energy savings and peak demand reduction are obtained through the following formulas:kWh= tonsunit ×ΔkWhton ?kWpeak= tonsunit ×ΔkWtonDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 119: Terms, Values, and References for Air-Cooled Refrigeration CondensersTermUnitValuesSourcetons/unit, Capacity of refrigeration system compressorTonsEDC Data Gathering-△kWhton, Change in unit energy consumptionkWh/tonDefault: REF _Ref532989422 \h Table 31202△kWton, Change in unit power demandkW/tonDefault: REF _Ref532989422 \h Table 31202Default SavingsThe unit energy and peak demand savings per ton of compressor capacity were approximated for Pennsylvania cities based on an extrapolation from New York state data, calculated from a DOE-2.2 simulation of a prototypical grocery store, which include refrigerated and non-refrigerated food sales convenience stores and specialty food sales.Source 2 The New York TRM assumes that grocery stores and convenience stores are the primary application for this measure, which is a reasonable assumption for applications in Pennsylvania as well. The energy savings were modified using proxy variables for outdoor air temperature, which has a direct effect on the energy savings that can be achieved with this measure using a linear regression model. The proxy variables, chosen as heating and cooling equivalent full-load hours (EFLH, as defined REF _Ref395530180 \h Table 327), were used to approximate the relationship between the projected energy savings in New York cities and the outdoor temperature in those cities. Using a linear regression analysis, data was extrapolated to estimate the energy savings that can be achieved in Pennsylvania cities. For peak demand reduction, a similar methodology was used, applying EFLH cooling data only, as peak demand reduction occurs during cooling season. The unit energy and peak demand savings per ton of capacity for seven different cities (grocery/convenience stores only) in Pennsylvania are shown below. The EDC should use the system capacity data collected to derive the final savings estimate.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 120: Default Savings for Air-Cooled Refrigeration CondensersCityAnnual Energy Savings per Ton of Capacity (△kWhton)Peak Demand Savings per Ton of Capacity (△kWton)Allentown1,3070.1252Binghamton1,2900.1430Bradford1,2960.1429Erie1,3180.1244Harrisburg1,3180.1171Philadelphia1,3120.1204Pittsburgh1,3080.1245Scranton1,3180.1164Williamsport1,3230.1167Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs – Residential, Multi-family, and Commercial/Industrial Measures. Version 3. New York State Department of Public Service. June 1, 2015. HYPERLINK "$FILE/TRM%20Version%203%20-%20June%201,%202015.pdf" $FILE/TRM%20Version%203%20-%20June%201,%202015.pdfRefrigerated Case Light Occupancy SensorsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer watt of controlled lightingMeasure Life8 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, or New ConstructionThis protocol documents the energy savings attributed to installing occupancy sensors to control LED refrigerated case lighting. Energy savings can be achieved from the installation of sensors which dim or turn off the lights when the space or aisle is unoccupied. Energy savings result from a combination of reduced lighting energy as well reduced cooling load within the case. EligibilityThis measure requires the installation of motion-based lighting controls that allow the LED case lighting to be dimmed or turned off completely during unoccupied conditions. AlgorithmsThe algorithm shown below shall be used to calculate the annual energy savings for this measure. There are no peak demand savings associated with this measure, as the savings are assumed to occur off-peak.kWh=WATTS 1,000× HOURS ×RRF×1+ IFeDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 121: Terms, Values, and References for Refrigerated Case Light Occupancy SensorsTermUnitValuesSourceEnergy SavingskWhftDoors with Anti-Sweat Heaters = 253.37No Sweat Doors = 474.711Demand SavingskWftDoors with Anti-Sweat Heaters = 0.0223No Sweat Doors = 0.04181WATTS, Connected wattage of controlled refrigerated lighting fixturesCase WidthWftEDC Data GatheringEDC Data GatheringHOURS, Annual operating hoursHours/yearEDC Data GatheringDefault = 6,2054IFe, Interactive effects factor for energy to account for cooling savings from offset refrigeration loadNoneRefrigerator and cooler = 0.29Freezer = 0.503RRF, Runtime reduction factorNoneEDC Data Gathering24-hr facilities = 0.3918-hr facilities = 0.2921,000, Conversion factorW/kW1,000Conversion factorDefault SavingsDefault savings per controlled watt are shown below.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 122: Default energy and demand savings values, per watt of controlled lightingValueMedium-Temp ApplicationsLow-Temp Applications24 hr/day facilities18 hr/day facilities24 hr/day facilities18 hr/day facilitiesAnnual kWh savings per controlled watt3.12.33.62.7Peak kW savings per controlled watt0.00030.00030.00040.0004Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.Default SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesWork Paper for Adding Doors to Existing Refrigerated Display Cases. CLEAResult. August 2014.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Database for UES Measures, Regional Technical Forum, Display Case Motion Sensors, v3.3. HYPERLINK "" Pennsylvania TRM. REF _Ref534213266 \h Table 38: Interactive Factors for All Bulb Types.Theobald, M. A., Emerging Technologies Program: Application Assessment Report #0608, LED Supermarket Case Lighting Grocery Store, Northern California, Pacific Gas and Electric Company, January 2006. Assumes 6,205 annual operating hours and 50,000 lifetime hours. Most case lighting runs continuously (24/7) but some can be controlled. 6,205 annual hours of use can be used to represent the mix. Using grocery store hours of use (4,660 hr) is too conservative since case lighting is not tied to store lighting. HYPERLINK "" Refrigeration EconomizersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitEconomizerMeasure Life15 years Source 1Measure VintageRetrofitEligibilityThis measure applies to economizers installed on a walk-in refrigeration system. Economizers bring in outside air when weather conditions allow, rather than operating the compressor, thereby saving energy. This measure includes economizers with evaporator fan controls plus a circulation fan and without a circulation fan.Walk-in refrigeration system evaporator fans run 24 hours per day (except during active defrost) for 365 days per year to provide cooling when the compressor is running and air circulation when the compressor is not running. However, evaporator fans are inefficient for air circulation, and it is more efficient to install an evaporator fan control system to turn off the evaporator fans when the compressor is not running and turn on an efficient 35-watt fan to provide air circulation.AlgorithmsWith Fan Control InstalledkWh= HP ×kWhcond + kWevap ×Nfans -kWCirc ×HRS ×DCComp ×BF - kWecon ×DCecon ×HRS?kWpeak=0 kWWithout Fan Control InstalledkWh= HP ×kWhcond- kWecon ×DCecon ×HRS?kWpeak=0 kWDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 123: Terms, Values, and References for Refrigeration EconomizersTermUnitValuesSourceHP, Horsepower of the compressorHPNameplateEDC Data GatheringkWhcond, Condensing unit savings, per hpkWh/HPDefault values from REF _Ref528080750 \h \* MERGEFORMAT Table 31242kWevap, Connected load kW of each evaporator fankWNameplate Input WattageEDC Data GatheringDefault: 0.123 kW3Nfans, Number of fansNoneEDC Data GatheringEDC Data GatheringkWCirc, Connected load of the circulating fankWEDC Data GatheringEDC Data GatheringDefault: 0.035 kW4HRS, Annual hours that the economizer operatesHoursYearDefault values from REF _Ref528080750 \h \* MERGEFORMAT Table 31245DCComp, Duty cycle of the compressorNone50%6BF, bonus factor for reduced cooling load from running the evaporator fan lessNoneDefault: 1.297kWecon, Connected load of the economizer fankWNameplate Input WattageEDC Data GatheringDefault: 0.227 kW8DCecon, Duty cycle of the economizer fan on days that are cool enough for the economizer to be workingNoneEDC Data GatheringEDC Data GatheringDefault: 63%9Default values for kWhcond and HRS are shown in REF _Ref528080750 \h Table 3124. If the type of compressor is unknown, EDCs may assume the “Discus” option for kWhcond.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 124: Hours and kWh Savings per HP for Refrigeration EconomizersCityHourskWhcond Condensing unit savings, per HPHermetic / Semi-HermeticScrollDiscus/UnknownAllentown1,674835737698Binghamton2,2541,098969918Bradford2,7211,3061,1531,092Eerie1,931955842799Harrisburg1,458766676641Philadelphia1,223625551523Pittsburg1,614819723685Scranton1,860924816773Williamsport1,741852752713Default SavingsThere are no default savings for this measure.Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEfficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. “Refrigeration Economizer” measure, page 129. HYPERLINK "" . Accessed December 2018. Analysis based on TMY3 weather bin data for each location. Assume 5HP compressor size used to develop kWh/HP value. No floating head pressure controls and compressor is located outdoors. Illinois Statewide Technical Reference Manual v7.0, 4.6.8 Refrigeration Economizers. Based on a weighted average of 80% shaded pole motors at 132 watts and 20% PSC motors at 88 watts. HYPERLINK "" . Accessed December 2018.Wattage of fan used by Freeaire and Cooltrol. This fan is used to circulate air in the cooler when the evaporator fan is turned off. As such, it is not used when fan control is not present. Economizer hours are based on a 38° F cooler setpoint, with a 5-degree economizer deadband. They were calculated by using TMY3 weather bin data for each location (number of hours < 33° F at each location is the Hours value).A 50% duty cycle is assumed based on examination of duty cycle assumptions from Richard Travers (35%-65%), Cooltrol (35%-65%), Natural Cool (70%), Pacific Gas & Electric (58%). Also, manufacturers typically size equipment with a built-in 67% duty factor and contractors typically add another 25% safety factor, which results in a 50% overall duty factor (as referenced by the Efficiency Vermont, Technical Reference User Manual). Navigant Consulting Inc., “Energy Savings Potential and R&D Opportunities for Commercial Refrigeration,” U.S. Department of Energy, September 2009. Table 4-4. HYPERLINK "" . Compressor COP for walk-in coolers is 3.42 The bonus factor is calculated as (1 + 1/COP). The 227 watts for an economizer is calculated from the average of three manufacturers: Freeaire (186 Watts), Cooltrol (285 Watts), and Natural Cool (218 Watts). Average of two manufacturer estimates of 50% and 75%.AppliancesENERGY STAR Clothes Washer Measure NameENERGY STAR Clothes WasherTarget SectorCommercial and Industrial EstablishmentsMeasure UnitClothes WasherUnit Energy SavingsSee REF _Ref364436246 \h \* MERGEFORMAT Table 3124 to REF _Ref363551340 \h \* MERGEFORMAT Table 3127Unit Peak Demand ReductionSee REF _Ref364436246 \h \* MERGEFORMAT Table 3124 to REF _Ref363551340 \h \* MERGEFORMAT Table 3127Measure Life11.3 years for Multifamily; and 7.1 years for Laundromats Source 1Measure VintageReplace on BurnoutThis protocol discusses the calculation methodology and the assumptions regarding baseline equipment, efficient equipment, and usage patterns used to estimate annual energy savings expected from the replacement of a standard clothes washer with an ENERGY STAR clothes washer with a minimum Modified Energy Factor (MEFJ2MEF) of ≥> 2.2 ft3× cyclekWhft3× cyclekWh.Source 2 The Federal efficiency standard is ≥> 1.35 ft3× cyclekWh60 ft3× cyclekWh for Top Loading washers and ≥> 2.0 ft3× cyclekWhft3× cyclekWh for Front Loading washers.Source 1. EligibilityThis protocol documents the energy savings attributed to efficient clothes washers meeting ENERGY STAR or better in small commercial applications. This protocol is limited to clothes washers in laundry rooms of multifamily complexes and commercial Laundromats. AlgorithmsThe general form of the equation for the ENERGY STAR Clothes Washer measure savings algorithm is:Total Savings=Number of Clothes Washers×Savings per Clothes WasherTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of clothes washers. Per unit energy and demand savings are obtained through the following calculations: ?kWh =HEt,base+MEt,base+De,base-HEt,ee+MEt,ee+De,ee×N=HEt,base+MEt,base+De,base-HEt,new+MEt,new+De,new×N?kWpeak=?kWh ×UFWhere:De=LAF×WGHTmax×DEF×DUF×(RMC-RMC3-4%)RMC=(-= (- 0.156 × MEFJ2)MEF) + 0.734 HEt=CapMEFJ2-MEt CapMEF-MEt-De?kWpeak=?kWh ×UFThe algorithms used to calculate energy savings are taken from the Energy Conservation Program: Test ProceduresU.S. Department of Energy’s Supplemental Notice of Proposed Rulemaking (SNOPR). DOE adopted the algorithms for Clothes Washers; Finalcommercial clothes washers in a final rule.Source 3 published on October 18, 2005. Commercial clothes washer per-cycle energy consumption is composed of three components: water-heating energy, machine energy, and drying energy. DOE established the annual energy consumption of commercial clothes washers by multiplying the per-cycle energy and water use by the number of cycles per year.In the above equations, MEFJ2MEF is the Modified Energy Factor, which is the energy performance metric for clothes washers. MEFJ2MEF is defined as:MEFJ2MEF is the quotient of the capacity of the clothes container, C, divided by the total clothes washer energy consumption per cycle, with such energy consumption expressed as the sum of the machine electrical energy consumption, M, the hot water energy consumption, E, and the energy required for removal of the remaining moisture in the wash load, D. The higher the value, the more efficient the clothes washer is. The equation is shown below and the metric units are ft3/kWh/cycle:MEFJ2=CM+E+D. Source 2 MEF=CM+E+DThe following steps should be taken to determine per-cycle energy consumption for top-loading and front-loading commercial clothes washers for both old and new clothes washers. Per-cycle energy use is disaggregated into water heating, machine, and clothes drying. Calculate the remaining moisture content (RMC) based on the relationship between RMC and MEF.Calculate the per-cycle clothes-drying energy use using the equation that determines the per-cycle energy consumption for the removal of moisture. Use the per-cycle machine energy use value of 0.133 kWhcyclekWhcycle for MEFs up to 1.40 and 0.114 kWhcyclekWhcycle for MEFs greater than 1.40.Source 1 These values are estimated from 2000 TSD for residential clothes washers’ database. With the per-cycle clothes dryer and machine energy known, determine the per-cycle water-heating energy use by first determining the total per-cycle energy use (the clothes container volume divided by the MEF) and then subtracting from it the per-cycle clothes-drying and machine energy. The utilization factor, (UF) is equal to the average energy usage between noon and 8PM on summer weekdays to the annual energy usage. The utilization rate is derived as follows:Obtain normalized, hourly load shape data for residential clothes washing.Smooth the load shape by replacing each hourly value with a 5-hour average centered about that hour. This step is necessary because the best available load shape data exhibits erratic behavior commonly associated with metering of small samples. The smoothing out effectively simulates diversification.Take the UF to be the average of all load shape elements corresponding to the hours between noon and 8PM on weekdays from June to September.The value is obtained using the June-September, weekday noon to 8 PM average of the normalized load shape values associated with residential clothes washers. As an example the following example if provided from in PG&E service territory (northern CA). Although Northern CA is far from PA, the load shape data is the best available at the time and the temporal dependence of washer usage is not expected to have a strong geographical dependency. REF _Ref532818379 \h Figure 32 REF _Ref345684405 \h \* MERGEFORMAT Figure 313 shows the utilization factor for each hour of a sample week in July. Because the load shape data derived from monitoring of in-house clothes washers is being imputed to multifamily laundry room washers (which have higher utilization rates), it is important to check that the resulting minutes of usage per hour is significantly smaller than 60. If the minutes of usage per hour approaches 60, then it should be assumed that the load shape for multi-family laundry room clothes washers must be different than the load shape for in-house clothes washers. The maximum utilization per hour is 36.2 minutes.Source 4Figure 3213: Utilization factor for a sample week in JulyDefinition of TermsDefinition of TermsThe parameters in the above equation are listed in REF _Ref395534177 \h \* MERGEFORMAT Table 3123 below. Table 3125123: Terms, Values, and References for: Commercial Clothes WashersWasher Calculation AssumptionsTermUnitValuesSourceMEFJ2, Base Federal Standard Modified Energy FactorNoneFront loading: 2.01MEFJ2, Modified Energy Factor of ENERGY STAR Qualified Washing Machine NoneNameplateEDC Data GatheringNoneDefault: 2.22HEt, Per-cycle water heating consumption kWhcycleCalculationCalculationDe, Per-cycle energy consumption for removal of moisture i.e. dryer energy consumption kWhcycleCalculationCalculationMEt, Per-cycle machine electrical energy consumption kWhcycle0.143Capee, Capacity of efficient clothes washer ft3NameplateEDC Data GatheringDefault: 3.445Capbase, Capacity of baseline clothes washer ft3CapeeEDC Data GatheringDefault: 3.445LAF, Load adjustment factorNone0.523DEF, Nominal energy required for clothes dryer to remove moisture from clothes kWhlb0.51DUF, Dryer usage factor, percentage of washer loads dried in a clothes dryerNone0.913WGHTmax, Maximum test-load weight lbscycle14.13RMC, Remaining moisture content lbsCalculationCalculationN, Number of cycles per year CycleMultifamily: 1,074Laundromats: 1,4831UF, Utilization FactorNone0.00023824MEFb , Base Federal Standard Modified Energy FactorNoneTop loading: 1.6Front loading: 2.03MEFp , Modified Energy Factor of ENERGY STAR Qualified Washing Machine NoneNameplateEDC Data GatheringNoneDefault: 2.24HEt , Per-cycle water heating consumption kWhcycleCalculationCalculationDe , Per-cycle energy consumption for removal of moisture i.e. dryer energy consumption kWhcycleCalculationCalculationMEt , Per-cycle machine electrical energy consumption kWhcycle0.1141Capbase, Capacity of baseline clothes washer ft3NameplateEDC Data GatheringDefault:Front Loading: 2.84Top Loading: 2.955Capee , Capacity of efficient clothes washer ft3NameplateEDC Data GatheringFront Loading: 2.84Top Loading: 2.845LAF, Load adjustment factorNone0.521DEF, Nominal energy required for clothes dryer to remove moisture from clothes kWhlb0.51DUF, Dryer usage factor, percentage of washer loads dried in a clothes dryerNone0.841WGHTmax , Maximum test-load weight lbscycle11.71RMC, Remaining moisture content lbsCalculationCalculationN, Number of cycles per year CycleMultifamily: 1,241Laundromats: 2,1901UF, Utilization FactorNone0.00023822Default SavingsThe default savings for the installation of a washing machine with a MEFJ2MEF of 2.2 or higher, is dependent on the energy source for the washer. REF _Ref11661969 \h Table 3127 and REF _Ref364436246 \h Table 3124 thru REF _Ref363551340 \h Table 3128127 show savings for ENERGY STAR washing machines with different combinations of water heater and dryer types in multifamily buildings and laundromats. The values are based on the difference between the baseline front loading clothes washer meeting federalwith MEF Federal efficiency standardsstandard of > 1.60 ft3× cyclekWh for top loading washers and that of a> 2.0 ft3× cyclekWh for front loading washer which meetswashers and minimum ENERGY STAR standardsqualified front loading clothes washer of ≥ 2.> 2 ft3× cyclekWh.2 ft3× cyclekWh. For clothes washers where fuel mix is unknown, calculate default savings using the algorithms below and EDC specific saturation values. For EDCs where saturation information is not accessible, use “Default values” described in REF _Ref532821447 \h REF _Ref364436246 \h Table 3124 through REF _Ref363551340 \h Table 3128127. below. ESavcw = kWhgwh-gd×%GWH-GDcw+kWhgwh-ed×%GWH-EDcw+kWhewh-gd×%EWH-GDcw+kWhewh-ed×%EWH-EDcwWhere:kWhgwh-gd= Energy savings for clothes washers with gas water heater and non-electric dryer fuel from tables belowkWhgwh-ed= Energy savings for clothes washers with gas water heater and electric dryer fuel from tables belowkWhewh-gd= Energy savings for clothes washers with electric water heater and non-electric dryer fuel from tables belowkWhewh-ed= Energy savings for clothes washers with electric water heater and electric dryer fuel from tables below%GWH-GDcw= Percent of clothes washers with gas water heater and non-electric dryer fuel%GWH-EDcw= Percent of clothes washers with gas water heater and electric dryer fuel%EWH-GDcw= Percent of clothes washers with electric water heater and non-electric dryer fuel%EWH-EDcw= Percent of clothes washers with electric water heater and electric dryer fuelTable 3126124: Fuel SharesDefault Savings for Water Heaters and DryersTop Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings (PY8-PY9)Fuel SourceCycles/YearEnergy Savings (kWh)Demand Reduction (kW)Equipment TypeElectric Hot Water Heater, Electric DryerNon-Electric1,2416860.163Electric Hot Water Heaters Source 6Heater, Gas Dryer34%1,24166%3410.081Clothes Dryers Source 7Gas Hot Water Heater, Electric Dryer52%1,24148%3450.082Gas Hot Water Heater, Gas Dryer1,24100Default (20% Electric DHW 40% Electric Dryer)1,2412060.049Table 3127125: Default Savings for Replacing Front- Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings with ENERGY STAR Clothes Washer(PY8-PY9) Fuel SourceCycles/YearEnergy Savings (kWh)Peak Demand SavingsReduction (kW)Electric Hot Water Heater, Electric Dryer1,0742411681600.04038Electric Hot Water Heater, Gas Dryer1,074241113610.027015Gas Hot Water Heater, Electric Dryer1,07424155990.013024Gas Hot Water Heater, Gas Dryer1,07424100Default (3420% Electric WHDHW 40% Electric Dryer)1,07424167520.016012Table 3128126: Default Savings for Replacing Front-Top Loading Clothes Washer in Laundromats with ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) Fuel SourceCycles/YearEnergy Savings (kWh)Peak Demand SavingsReduction (kW)Electric Hot Water Heater, Electric Dryer1,4832,1902321,2110.055288Electric Hot Water Heater, Gas Dryer1,4832,1901556020.037143Gas Hot Water Heater, Electric Dryer1,4832,190776090.018145Gas Hot Water Heater, Gas Dryer1,4832,19000Default (0% Electric WHDHW 0% Electric Dryer)1,4832,19000Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 127: Default Savings Front Loading ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) Fuel SourceCycles/YearEnergy Savings (kWh)Demand Reduction (kW)Electric Hot Water Heater, Electric Dryer2,1902830.067Electric Hot Water Heater, Gas Dryer2,1901080.026Gas Hot Water Heater, Electric Dryer2,1901750.042Gas Hot Water Heater, Gas Dryer2,19000Default (0% Electric DHW 0% Electric Dryer)2,19000Future Standards ChangesThe Department of Energy (DOE) published a final rule on December 15, 2014 adopting more stringent energy conservation standards for commercial clothes washers. Compliance with the new standards is required on January 1, 2018. As stated in Section REF _Ref423007765 \r \h 1.7, if a new federal standard is effective in January, the changes will be reflected in the TRM to be released in the following program year. Therefore, the new standards will be effective from June 1, 2018 (PY10) until the end of Phase III (PY12) provided that there are no additional code changes.The DOE test procedures for clothes washers are codified at title 10 of the Code of Federal Regulations (CFR) part 430, subpart B, appendix J1 and appendix J2. The PY8-PY9 standards use the test procedure in appendix J1 to determine the Modified Energy Factors (MEFs) while the PY10-PY12 standards use the methodology in appendix J2. To understand how the new standards compare with the current standards for commercial clothes washers, the DOE provided equivalent appendix J1 and appendix J2 MEFs. Since the current algorithms in the TRM use appendix J1 MEFs, appendix J1 equivalent of appendix J2 MEFs will be used for PY10-PY12 measures. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 128: Future Federal Standards for Clothes Washers (PY10-PY12)Equipment TypeMinimum MEFTop-loading1.7Front-loading2.4There are no default savings for PY10-PY12 measures. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesU.S. Department of Energy. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEnergy Conservation Program: Energy Conservation Standards for Commercial Clothes Washers; Final Rule. HYPERLINK "" Energy Star Clothes Washers Key Product Criteria. HYPERLINK "" Energy Conservation Program: Test Procedures for Clothes Washers; Final rule. HYPERLINK "" Clothes Washer Supplemental Notice of Proposed Rulemaking, Chapter 6. HYPERLINK "" Annual hourly load shapes taken from Energy Environment and Economics (E3), Reviewer2: HYPERLINK "" . The average normalized usage for the hours noon to 8 PM, Monday through Friday, June 1 to September 30 is 0.000243“Energy Conservation Program: Energy Conservation Standards for Certain Consumer Products (Dishwashers, Dehumidifiers, Microwave Ovens, and Electric and Gas Kitchen Ranges and Ovens) and for Certain Commercial and Industrial Equipment (Commercial Clothes Washers); Final Rule,” 75 Federal Register 5 (8 January 2010), pp. 1123ENERGY STAR. U.S. Environmental Protection Agency and U.S. Department of Energy. “ENERGY STAR Program Requirements Product Specification for Clothes Washers.” ENERGY STAR Version 6.1 Clothes Washers Specification (Jan. 2013): California Energy Commission (“CEC”) Appliance Efficiency database, HYPERLINK "" Food Service EquipmentHigh-Efficiency Ice MachinesBased on the average commercial clothes washer volume of all units meeting ENERGY STAR criteria listed in the ENERGY STAR database of certified products accessed on 11/15/2018. HYPERLINK "" . Pennsylvania Act 129 2018 Non-Residential Baseline Study, HYPERLINK "" Act 129 2018 Residential Baseline Study, HYPERLINK "" STAR Bathroom Ventilation Fan in Commercial ApplicationsMeasure NameHigh-Efficiency Ice MachinesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNumber of Fans InstalledIce MachineUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life12 years Source 110 YearsMeasure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionThis protocol covers the energy and demand savings associated with installing ENERGY STAR certified bathroom ventilation fans to replace conventional bathroom ventilation fans in a non-residential application. ENERGY STAR certifies ventilation fans based on minimum efficacy (CFM/W) and maximum allowable sound level (sones). This certification may include fans that are appropriate for light commercial applications but does not include whole-house fans or attic ventilators.Source 2EligibilityThis measure requires the installation of an ENERGY STAR certified bathroom ventilation fan in a commercial or industrial facility. See REF _Ref532819022 \h Table 3129 for minimum efficacy and maximum sound level eligibility requirements.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 129: Criteria for ENERGY STAR Certified Bathroom Ventilation Fans Source 2Product TypeRated Airflow Range (CFM)Minimum Efficacy Level (CFM/W)*Maximum Allowable Sound Level (Sones)*Bathroom and Utility Room Fans10 – 892.82.090 – 2003.52.0201 - 5004.03.0*Products will meet requirements at all speeds, based on static pressure reference measurement as specified in Section 4.C. of the ENERGY STAR specification.Source 2 AlgorithmsThe annual energy and peak demand savings are obtained through the following formulas:kWh=CFM*1ηbase-1ηee*HOU*11,000?kWpeak=CFM*1ηbase-1ηee*CF*11,000Definition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 130: Terms, Values, and References for ENERGY STAR Bathroom Ventilation FansTermUnitValuesSourceCFM, Nominal capacity of the exhaust fanCFMEDC Data Gathering3Default ranges in REF _Ref533757828 \h Table 3131ηbase, Baseline fan efficacyCFM/WEDC Data Gathering4Default = 2.6ηee, ENERGY STAR fan efficacyCFM/WEDC Data Gathering4Default = 5.1HOU, Annual hours of useHours/yearEDC Data Gathering5Default = 2,87011,000, watts to kilowatt conversion factorkWW11,000Conversion factorCF, Coincidence factorNoneEDC Data Gathering6Default = 0.62Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 131: Default Savings for ENERGY STAR Bathroom Ventilation Fans in Commercial ApplicationsCapacity Range (CFM)Assumed Capacity (CFM)Energy Savings (kWh)Peak Demand Reduction (kW)10 – 897037.90.008290 – 15011059.50.0129151 – 250 17594.70.0205251 – 500 350189.40.0409Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesAnalysis of Standard Options for Residential Exhaust Fans, Page 3. Davis Energy Group. April 27, 2004. HYPERLINK "" STAR? Program Requirements Product Specification for Residential Ventilating Fans, Eligibility Criteria Version 4.0. Effective October 1, 2015. HYPERLINK "" Vermont, Technical Reference User Manual (TRM), March 16, 2015. Pages 52-53. Typical sizes assumed within the ranges given in REF _Ref533757828 \h \* MERGEFORMAT Table 3131.Default fan efficacies are based on average values for non-ENERGY STAR and ENERGY STAR, 10-500 CFM Bathroom Exhaust Fans from the Home Ventilating Institute’s HVI-Certified Products Directory. Updated November 1, 2016. HYPERLINK "" Accessed November 10, 2016.Efficiency Vermont, Technical Reference User Manual (TRM), March 16, 2015. Page 52. Median run-hours of fans installed through Efficiency Vermont custom projects 2008-2011.0.62 represents the simple average of all coincidence factors listed in the 2015 Mid-Atlantic TRM. Estimated assuming coincidence factors from EmPOWER Maryland DRAFT Final Impact Evaluation Report Evaluation Year 4 (June 1, 2012 – May 31, 2013) Commercial & Industrial Prescriptive & Small Business Programs, Navigant, March 31, 2014 weighted by building type floor space for the Northeast census region from the Commercial Building Energy Consumption Survey, US Energy Information Administration, 2003.Food Service EquipmentENERGY STAR Ice MachinesTarget SectorCommercial and Industrial EstablishmentsMeasure UnitIce MachineMeasure Life8 Years Source 1Measure VintageReplace on BurnoutEligibilityThis measure applies to the installation of a high-efficiency ice machine as either a new item or replacement for an existing unit. The machine must be air-cooled batch-type or continuous ice makers to qualify, which can include self-contained, ice-making heads, or remote-condensing units. The baseline equipment is a commercial ice machine that meets federal equipment standards. The efficient machine must conform to the minimum ENERGY STAR efficiency requirements and meet the ENERGY STAR requirements for water usage given under the same criteria. AlgorithmsThe energy savings are dependent on the capacity of ice produced on a daily basis and the duty cycle. A machine’s capacity is generally reported as an ice harvest rate, or amount of ice produced each day. kWh= kWhbase-kWhee100kWhbase-kWhhe100×H×365×D?kWpeak= ?kWh8760×D×CFDefinition of TermsDefinition of TermsThe reference values for each component of the energy impact algorithm are shown in REF _Ref271184039 \h \* MERGEFORMAT Table 3132129. A default duty cycle (D) is provided as based on referenced values from several studies, however, EDC data gathering may be used to adjust the duty cycle for custom applications. Table 3132129: Terms,: Ice Machine Reference Values, and References for Algorithm ComponentsHigh-Efficiency Ice MachinesTermUnitValuesSourcekWhbase, , Baseline ice machine energy usage per 100 lbs. of icekWh100 lbs REF _Ref413758293 \h \* MERGEFORMAT Table 3133, REF _Ref412039587 \h \* MERGEFORMAT Table 3134 REF _Ref405544062 \h \* MERGEFORMAT Table 313021kWhee,kWhhe , High-efficiency ice machine energy usage per 100 lbs. of icekWh100 lbs REF _Ref412039573 \h \* MERGEFORMAT Table 3135, REF _Ref412039579 \h \* MERGEFORMAT Table 3136 REF _Ref405462233 \h \* MERGEFORMAT Table 313132H, Ice harvest rate per 24 hrs. lbsdayManufacturer SpecsEDC Data GatheringD, Duty cycle of ice machine expressed as a percentage of time machine produces iceNoneCustomEDC Data GatheringDefault: 0.57443365, Days per yearDaysyear365Conversion Factor100, Conversion to obtain energy per pound of icelbs100 lbs100Conversion Factor8760, Hours per yearHoursyear8,760Conversion FactorIce Machine Typemaker typeNoneManufacturer SpecsEDC Data GatheringCF, Demand Coincidence Factor Decimal0.937774Table 3133130: Batch-Type Ice Machine Baseline Efficiencies (PY8-PY9)Ice Machine Typemachine typeIce Harvest Rateharvest rate (H) lbsdayBaseline Energy Useenergy use per 100 lbs. of Iceice kWhbaseIce-Making Head< 30045010 -.26 – 0.012330086*H≥ 300 and < 800≥4507.05 -6.89 – 0.00250011*H≥ 800 and < 1,5005.55 - 0.00063*H≥ 1,500 and < 4,0004.61Remote-Condensing w/out remote compressor≥ 50 and < 1,000<10007.97 -8.85 – 0.003420038*H≥ 1,000 and < 4,000≥10004.555.1Remote-Condensing with remote compressor< 9429347.97 -8.85 – 0.003420038*H≥ 942 and < 4,000≥9344.755.3Self-Contained< 11017514.79 -18 – 0.0469*H≥ 110 and < 200≥17512.42 - 0.02533*H9.8≥ 200 and < 4,0007.35Table 3134131: Continuous Batch-Type Ice Machine BaselineENERGY STAR Efficiencies (PY8-PY9)Ice Machine Typemachine typeIce Harvest Rateharvest rate (H) lbsdayBaseline Energy Useuse per 100 lbs. of Iceice kWhbasekWheeIce-Making Head< 310200 ≤ H ≤ 16009.19 - ≤ 37.72*H?-0.00629*H298≥ 310 and < 8208.23 - 0.0032*H≥ 820 and < 4,0005.61Remote-Condensing w/out remote compressorUnit < 800400 ≤ H ≤ 16009.7 - 0.0058*H≤ 22.95*H?-0.258?+ 1.00≥ 800 and < 4,0005.06Remote-Condensing with remote compressor< 8001600 ≤ H ≤ 40009.9 - ≤ -0.005800011*H + 4.60≥ 800 and < 4,0005.26Self-Contained (SCU)< 20050 ≤ H ≤ 45014.22 - 0.03*H≤ 48.66*H?-0.326?+ 0.08≥ 200 and < 7009.47 - 0.00624*H≥ 700 and < 4,0005.1Default SavingsThere are no default savings associated with this measure.Future Standards ChangesThe Department of Energy (DOE) published a final rule on January 28, 2015 adopting more stringent energy conservation standards for some classes of automatic commercial ice makers as well as establishing new standards for continuous type ice-making machines that were not previously regulated by the DOE. Compliance with the new standards is required on January 28, 2018. As stated in Section REF _Ref423008015 \r \h 1.7, if a new federal standard is effective in January, the changes will be reflected in the TRM to be released in the following program year. Therefore, the new standards will be effective from June 1, 2018 (PY10) until the end of Phase III (PY12) provided that there are no additional code changes. The baseline and ENERGY STAR efficiencies for ice machines are presented in REF _Ref413758293 \h Table 3132, REF _Ref412039587 \h Table 3133, REF _Ref412039573 \h Table 3134, and REF _Ref412039579 \h Table 3135. Table 3135132: Batch-Type Ice Machine ENERGY STARBaseline Efficiencies (PY10-PY12)Ice Machine Typemachine typeIce Harvest Rateharvest rate (H) lbsdayBaseline Energy Useenergy use per 100 lbs. of Iceice kWheekWhbaseIce-Making HeadH < <300≤ 9.20 –10 - 0.01134H01233*H≥300 ≤ H ≤ and <800≤ 6.49 –7.05 - 0.0023H0025*H≥800 ≤ H ≤ and <1,500≤ 5.11 –55 - 0.00058H00063*H≥1,500 ≤ H ≤ and <4,000≤ 4.2461Remote-Condensing Unit w/out remote compressorH < 988≥50 and <1,000≤ 7.17 –97 - 0.00308H00342*H988 ≤ H ≤ ≥1,000 and <4,000≤ 4.1355Remote-Condensing with remote compressor<9427.97 - 0.00342*H≥942 and <4,0004.75Self-Contained (SCU)H < <110≤ 12.57 –14.79 - 0.0399H0469*H≥110 ≤ H ≤ and <200≤ 10.56 –12.42 - 0.0215H02533*H≥200 ≤ H ≤ and <4,000≤ 6.257.35Table 3136133: Continuous Type Ice Machine ENERGY STARBaseline Efficiencies (PY10-PY12)Ice Machine Typemachine typeIce Harvest Rateharvest rate (H) lbsdayBaseline Energy Useenergy use per 100 lbs. of Iceice kWheekWhbaseIce-Making HeadH < <310≤ 7.90 –9.19 - 0.005409H00629*H≥310 ≤ H ≤ and <820≤ 7.08 –8.23 - 0.002752H0032*H≥820 ≤ H ≤ and <4,000≤ 4.825.61Remote-Condensing Unit w/out remote compressorH < <800≤ 9.7.76 – - 0.00464H0058*H≥800 ≤ H ≤ and <4,000≤ 4.055.06Remote-Condensing with remote compressor<8009.9 - 0.0058*H≥800 and <4,0005.26Self-Contained (SCU)H < 110<200≤ 12.37 –14.22 - 0.0261H03*H≥200 ≤ H ≤ and <700≤ 8.24 –9.47 - 0.005492H00624*H≥700 ≤ H ≤ and <4,000≤ 4.445.1Default SavingsThere are no default savings associated with this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 134: Batch-Type Ice Machine ENERGY STAR Efficiencies (PY10-PY12)Ice machine typeIce harvest rate (H) lbsdayEnergy use per 100 lbs. of ice kWheeIce-Making Head200 ≤ H ≤ 1600≤ 37.72*H?-0.298Remote-Condensing Unit 400 ≤ H ≤ 1600≤ 22.95*H?-0.258?+ 1.001600 ≤ H ≤ 4000≤ -0.00011*H + 4.60Self-Contained (SCU)50 ≤ H ≤ 450≤ 48.66*H?-0.326?+ 0.08Table STYLEREF 1 \s 3. US Environmental Protection Agency and US Department of Energy. SEQ Table \* ARABIC \s 1 135: Continuous Type Ice Machine ENERGY STAR Commercial Kitchen Equipment Calculator. Efficiencies (PY10-PY12)Ice machine typeEnergy use per 100 lbs. of ice kWheeIce-Making Head≤ 9.18*H?-0.057Remote-Condensing Unit≤ 6.00*H?-0.162?+ 3.50Self-Contained (SCU)≤59.45*H-0.349 + 0.08Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific dataEnergy Conservation Program: Energy Conservation Standards for Automatic Commercial Ice Makers; Final Rule. open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesFederal Register / Vol. 80, No. 18. January 28, 2015.energy conservation standard for automatic commercial ice makers. HYPERLINK "" HYPERLINK "" Commercial Ice Maker Key Product Criteria Version 32.0. Illinois Statewide Technical Reference Manual v7.0 cites a default duty cycle of 57%. HYPERLINK "" . Accessed December 2018. State of Ohio Energy Efficiency Technical Reference Manual cites a default duty cycle of 40% as a conservative value. Other studies range as high as 75%.State of Ohio Energy Efficiency Technical Reference Manual cites a CF = 0.772 as adopted from the Efficiency Vermont TRM. Assumes CF for ice machines is similar to that for general commercial refrigeration equipment.Controls: Beverage Machine ControlsMeasure NameControls: Beverage Machine ControlsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitMachine ControlUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life5 years Source 1,Measure VintageRetrofitEligibilityThis measure is intended for the addition of control systems to existing, non-ENERGY STAR, beverage vending machines. The applicable machines contain refrigerated, non-perishable beverages that are kept at an appropriate temperature. The control systems are intended to reduce energy consumption due to lighting and refrigeration during times of lower customer sales. Typical control systems contain a passive infrared occupancy sensor to shut down the machine after a period of inactivity in the area. The compressor will power on for one to three hour intervals, sufficient to maintain beverage temperature, and when powered on at any time will be allowed to complete at least one cycle to prevent excessive wear and tear. This measure should not be applied to ENERGY STAR qualified vending machines, as they already have built-in controlsThe baseline equipment is taken to be an existing standard refrigerated beverage vending machine that does not contain control systems to shut down the refrigeration components and lighting during times of low customer use. AlgorithmsEnergy savings are dependent on decreased machine lighting and cooling loads during times of lower customer sales. The savings will be dependent on the machine environment, noting that machines placed in locations such as a day-use officesoffice will result in greater savings than those placed in high-traffic areas such as hospitals that operate around the clock. The algorithm below takes into account varying scenarios and can be taken as representative of a typical application. kWh=Wattsbase 1,000*HOURS*ESF= kWhbase×E?kWpeak= 0There are no peak demand savings because this measure is aimed to reduce demand during times of low beverage machine use, which will typically occur during off-peak hours. Definition of TermsDefinition of TermsTable 3137136: Terms, Values, and References for: Beverage Machine ControlsControl Calculation AssumptionsTermUnitValuesSourceWattsbase, Wattage of beverage machineWEDC Data GatheringDefault for refrigerated beverage vending machine: 400Default for glass front refrigerated cooler: 460EDC Data Gathering1HOURS, Annual hours of operationHoursYearEDC Data GatheringDefault: 8,760EDC Data GatheringESF, Energy savings factor NoneEDC Data GatheringDefault for refrigerated beverage vending machine: 46%Default for glass front refrigerated cooler: 30%EDC Data Gathering1kWhbase, Baseline annual beverage machine energy consumptionkWhyearEDC Data GatheringDefault: REF _Ref271123746 \h \* MERGEFORMAT Table 3137EDC Data GatheringE, Efficiency factor due to control system, which represents percentage of energy reduction from baselineNoneEDC Data GatheringEDC Data GatheringDefault SavingsThe decrease in energy consumption due to the addition of a control system will depend on the number ofor hours per year during which lighting and refrigeration components of the beverage machine are powered down. The average decrease in energy use from refrigerated beverage vending machines with control systems installed is 46%.Source 1,,, It should be noted that various studies found savings values ranging between 30-65%, most likely due to differences in customer occupation. The default annualbaseline energy consumption and default energy savings isare shown below.in REF _Ref271123746 \h \* MERGEFORMAT Table 3137. The default energy savings were derived by applying a default efficiency factor of Edefault= 46% to the energy savings algorithm above. Where it is determined that the default energy savingefficiency factor (ESFE) or default baseline energy consumption WattsbasekWhbase is not representative of specific applications, EDC data gathering can be used to determine an application-specific energy savings factor (ESF)E), and/or baseline energy consumption WattsbasekWhbase, for use in the Energy Savings algorithm.Table 3138137: Default Savings for: Beverage Machine Controls Energy SavingsEquipment TypeMachine Can CapacityAnnual Energy Savings (kWh)Default Baseline Energy Consumption kWhbase kWhyearPeak DemandDefault Energy Savings (ΔkWpeak)?kWh; kWhyearSourceRefrigerated beverage vending machine< 5003,1131,611.843201Glass front refrigerated cooler5003,9161,208.9801016003,5511,63317004,1981,9311800+3,3181,5261Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesIllinois Statewide Technical Reference Manual v7.0, September 28, 2018, 4.6.2 Beverage and Snack Machine Controls, which sources USA Technologies Energy Management Product Sheets, July 2006; cited September 2009. HYPERLINK "" Controls: Snack Machine ControlsENERGY STAR Calculator, Assumptions for Vending Machines, accessed 8/2010 Controls: Snack Machine ControlsMeasure NameControls: Snack Machine ControlsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitMachine ControlMeasure Life5 years Source 1Unit Energy SavingsVariableUnit Peak Demand Reduction0 kWMeasure Life5 yearsMeasure VintageRetrofitA snack machine controller is an energy control device for non-refrigerated snack vending machines. The controller turns off the machine’smachine‘s lights based on times of inactivity. This protocol is applicable for conditioned indoor installations.EligibilityThis measure is targeted to non-residential customers who install controls to non-refrigerated snack vending machines. Acceptable baseline conditions are non-refrigerated snack vending machines. Efficient conditions are non-refrigerated snack vending machines with controls.AlgorithmsThe energy savings for this measure result from reduced lighting operation.kWh=Wattsbase 1,000Wattsbase 1000*HOURS*ESF?kWpeak=0Definition of TermsDefinition of TermsTable 3139138: Terms, Values, and References for : Snack Machine Controls – Values and ReferencesTermUnitValuesSourceWattsbase, Wattage of vending machineWEDC Data GatheringDefault: 85EDC Data Gathering2HOURS, Annual hours of operationHoursYearEDC Data GatheringDefault: 8,760EDC Data GatheringESF, Energy savings factorNone46%2Wattsbase , Wattage of vending machineWEDC Data GatheringDefault: 85EDC Data Gathering1HOURS , Annual hours of operationHoursYearEDC Data GatheringDefault: 8,760EDC Data Gathering1ESF, Energy savings factorNone46%1Default SavingsDefault energy savings for this measure are 342.5 kWh.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesMeasure Life Study, prepared for the Massachusetts Joint Utilities, Energy & Resource Solutions, November 2005.Illinois Statewide Technical Reference Manual v7.0, September 28, 2018.TRM, 2014. Machine wattages assume that the peak period is coincident with periods of high traffic diminishing the demand reduction potential of occupancy based controls. Hours of operation assume operation 24 hours per hrs/day, 365 days per year/yr. HYPERLINK "" HYPERLINK "" . Accessed December 2018. ENERGY STAR Electric Steam CookerMeasure NameENERGY STAR Electric Steam CookerTarget SectorCommercial and Industrial EstablishmentsMeasure UnitElectric Steam CookerUnit Energy SavingsSee REF _Ref298152194 \h \* MERGEFORMAT Table 3140Unit Peak Demand ReductionSee REF _Ref298152194 \h \* MERGEFORMAT Table 3140Measure Life12 years Source 1Measure VintageReplace on BurnoutEligibilityThis measure applies to the installation of electric ENERGY STAR steam cookers as either a new item or replacement for an existing unit. Gas steam cookers are not eligible. The steam cookers must meet minimum ENERGY STAR efficiency requirements. A qualifying steam cooker must meet a minimum cooking efficiency of 50 percent and meet idle energy rates specified by pan capacity.The baseline equipment is a unit with efficiency specifications that do not meet the minimum ENERGY STAR efficiency requirements.AlgorithmsThe savings depend on three main factors: pounds of food steam cooked per day, pan capacity, and cooking efficiency. kWh= ?kWhcooking+?kWhidle×365?kWhcooking= lbsFood×EnergyToFood×1Effbase-1Effee= lbsfood×EnergytoFood×1Effb-1Effee?kWhidle=Daily kWhbasehb-Daily kWheeDaily kWhbasehb=Poweridle,base×1-%HOURSconsteam+%HOURSconsteam×CAPYbase×Qtypans×EnergyToFoodEffbase×HOURSop-lbsFoodCAPYbase×Qtypans=Poweridle-b×1-%HOURSconsteam+%HOURSconsteam×CAPYb×Qtypans×EnergytoFoodEffb×HOURSop-lbsfoodCAPYb×QtypansDaily kWhee=Poweridle, ee×1-%HOURSconsteam+%HOURSconsteam×CAPYee×Qtypans×EnergyToFoodEffee×HOURSop-lbsFoodCAPYee×Qtypans=Poweridle-ee×1-%HOURSconsteam+%HOURSconsteam×CAPYee×Qtypans×EnergytoFoodEffee×HOURSop-lbsfoodCAPYee×Qtypans?kWpeak= ?kWhEFLH×CF Definition of TermsDefinition of TermsTable 3140139: Terms,Steam Cooker - Values, and References for ENERGY STAR Electric Steam CookersTermUnitValuesSourcelbsFood, Pounds of food cooked per day in the steam cookerlbsEDC Data GatheringEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 31412EnergyToFood, ASTM energy to food ratio; energy (kilowatt-hours) required per pound of food during cookingkWhpound0.03081Effee, Cooking energy efficiency of the new unitNoneNameplateEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 31411Effbase, Cooking energy efficiency of the baseline unitNoneSee REF _Ref298152194 \h \* MERGEFORMAT Table 31411Poweridle, base, Idle power of the baseline unit kWSee REF _Ref298152194 \h \* MERGEFORMAT Table 31414Poweridle,ee, Idle power of the new unit kWNameplateEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 31414HOURSop, assumed daily hours of operationHoursEDC Data GatheringEDC Data Gatheringlbsfood, Pounds of food cooked per day in the steam cookerlbsNameplateEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 3140 REF _Ref298152194 \h \* MERGEFORMAT Table 3140EnergyToFood, ASTM energy to food ratio; energy (kilowatt-hours) required per pound of food during cookingkWhpound0.0308 1Effee , Cooking energy efficiency of the new unitNoneNameplateEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 3140 REF _Ref298152194 \h \* MERGEFORMAT Table 3140Effb , Cooking energy efficiency of the baseline unitNoneSee REF _Ref298152194 \h \* MERGEFORMAT Table 3140 REF _Ref298152194 \h \* MERGEFORMAT Table 3140Poweridle-b , Idle power of the baseline unit kWSee REF _Ref298152194 \h \* MERGEFORMAT Table 3140 REF _Ref298152194 \h \* MERGEFORMAT Table 3140Poweridle-ee , Idle power of the new unit kWNameplateEDC Data GatheringDefault values in REF _Ref298152194 \h \* MERGEFORMAT Table 3140 REF _Ref298152194 \h \* MERGEFORMAT Table 3140HOURSop , assumeddaily hours of operationHoursNameplateEDC Data Gathering12 hours1%HOURSconsteam, , Percentage of idle time per day the steamer is in continuous steam mode instead of timed cooking. The power used in this mode is the same as the power in cooking mode.None40%1CAPYbase,CAPYb , Production capacity per pan of the baseline unit lbhrSee REF _Ref298152194 \h \* MERGEFORMAT Table 31411401 REF _Ref298152194 \h \* MERGEFORMAT Table 3140CAPYee, , Production capacity per pan of the new unit lbhrSee REF _Ref298152194 \h \* MERGEFORMAT Table 31411401 REF _Ref298152194 \h \* MERGEFORMAT Table 3140Qtypans, , Quantity of pans in the unitNoneNameplateEDC Data GatheringEFLH, Equivalent full load hours per yearHoursYear4,38012CF, Demand Coincidence factorFactor Decimal0.9843,41000, Conversion from watts to kilowattsWkW1000 Conversion factorDefault SavingsTable 3141140: Default Values for Electric Steam Cookers by Number of Pans# of PansParameterBaseline ModelEfficient ModelSavings3Poweridle (kW)1.0000.4027---CAPY lbhrlbhr23.316.7---lbsFoodlbsfood100100---Eff 30%5059%---kWhkWh------9,50410,819?kWpeak?kWpeak------1.952.074Poweridle (kW)1.3250.5330---CAPY lbhrlbhr23.321.816.78---lbsFoodlbsfood128128---Eff30%5057%---kWhkWh------12,61913,079?kWpeak?kWpeak------2.59515Poweridle (kW)1.6750.6731---CAPY lbhrlbhr23.320.616.76---lbsFoodlbsfood160160---Eff30%5070%---kWhkWh------15,80117,332?kWpeak?kWpeak------3.25326Poweridle (kW)2.0000.8031---CAPY lbhrlbhr23.320.016.7---lbsFoodlbsfood192192---Eff30%5065%---kWhkWh------18,49719,461?kWpeak?kWpeak------3.8973Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesENERGY STAR. US Environmental Protection Agency and US Department of Energy. ENERGY STAR Commercial Kitchen Equipment Calculator. HYPERLINK "" Food Service Technology Center (FSTC) 2012, Commercial Cooking Appliance Technology Assessment. Pounds, pg 8-14. State of Food Cooked per Day based on the default value for a 3 pan steam cooker (100 lbs from FSTC) and scaled up based on the assumption that steam cookers with a greater number of pans cook larger quantities of food per day.New York Standard Approach for Estimating Energy Savings fromOhio Energy Efficiency Programs v6, effective date January 1, 2019Illinois Statewide Technical Reference Manual v7.cites a CF = 0, September 28, 2018. HYPERLINK "" . Accessed December 2018. .84 as adopted from the Efficiency Vermont TRM. Assumes CF is similar to that for general commercial industrial lighting equipment.RLW Analytics. Coincidence Factor Study – Residential and Commercial Industrial Lighting Measures. Spring 2007. The peak demand period used to estimate the CF value is 1PM-5PM, weekday, non-holiday, June-August. HYPERLINK "" STAR Combination OvenRefrigerated Beverage MachineMeasure NameENERGY STAR Refrigerated Beverage Vending MachineTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNumber of Ovens InstalledRefrigerated Beverage Vending MachineUnit Energy SavingsVariableUnit Peak Demand Reduction0 kWMeasure Life1214 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionENERGY STAR vending machines are equipped with more efficient compressors, fan motors and lighting systems. In addition to more efficient components, ENERGY STAR qualified machines are programmed with software that reduces lighting and refrigeration loads during times of inactivity.EligibilityThis measure is targeted to non-residential customers who purchase and install a beverage vending machine that meets ENERGY STAR specifications rather than a non-ENERGY STAR unit. The energy efficient refrigerated vending machine can be new or rebuilt.AlgorithmsA combination oven is a convection oven that includes the added capability to inject steam into the oven cavity and typically offers at least three distinct cooking modes. EligibilityTo qualify for this measure, the installed equipment must be a new electric combination oven that meets the ENERGY STAR idle rate and cooking efficiency requirements as specified in REF _Ref465669765 \h Table 3142.Source 2 P represents the pan capacity of the oven.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 142: Combination Oven Eligibility Requirements Energy savings are dependent on decreased machine lighting and cooling loads during times of lower customer sales. The savings are dependent on the machine environment, noting that machines placed in locations such as a day-use office will result in greater savings than those placed in high-traffic areas such as hospitals that operate around the clock. The algorithm below takes into account varying scenarios and can be taken as representative of a typical application. There are no peak demand savings because this measure is aimed to reduce demand during times of low beverage machine use, which will typically occur during off-peak hours.Class A Vending Machine A Class A machine is defined as a refrigerated bottled or canned beverage vending machine that is fully cooled, and is not a combination vending machine.Fuel TypekWhOperation= kWhbase-kWheeIdle Rate (kW)Cooking-Energy Efficiency (%)ElectrickWhbaseSteam ModeConvection Mode= 0.055V+2.56×365≤ 0.133P + 0.6400≤ 0.080P + 0.4989≥ 55≥ 76kWhee= (0.0523V+2.432)×365?kWpeak =0AlgorithmsThe following algorithms are used to quantify the annual energy and coincident peak demand savings, accounting for the convection-mode cooking energy, the steam-mode cooking energy, and the idle-mode energy consumption.Class B Vending Machine A Class B machine is defined as any refrigerated bottled or canned beverage vending machine not considered to be Class A, and is not a combination vending machine. ΔkWhkWh=?CookingEnergyConvElec + ?CookingEnergySteamElec + ?IdleEnergyConvElec + ?IdleEnergySteamElec* Days*11,000= kWhbase-kWheeΔkWpeakkWhbase=ΔkWh / (HOURS * DAYS) *CF= (0.073V+3.16)×365kWhee=0.0657V+2.844×365?kWpeak =0Definition of TermsWhere:?CookingEnergyConvElec= LBElec * (EFOODConvElec / ElecEFFConvBase - EFOODConvElec / ElecEFFConvEE) * %Conv?CookingEnergySteamElec= LBElec * EFOODSteamElec/ElecEFFSteamBase – EFOODSteamElec/ElecEFFSteamEE* %Steam?IdleEnergyConvElec= [(ElecIDLEConvBase * (HOURS – LBElec/ElecPCConvBase) * %Conv) - (ElecIDLEConvEE * (HOURS - LBElec/ElecPCConvEE) * %Conv)]?IdleEnergySteamElec= [(ElecIDLESteamBase * (HOURS – LBElec/ElecPCSteamBase) * %Steam) - (ElecIDLESteamEE * (HOURS - LBElec/ElecPCSteamEE) * %Steam)]Definition of TermsTable 3143141: Terms, Values, and References for: ENERGY STAR Combination OvensRefrigerated Beverage Vending Machine – Values and ResourcesTermUnitValuesSourceP, Pan capacity - The number of steam table pans the combination oven is able to accommodate as per the ASTM F-1495-05 standard specification.PansEDC Data GatheringEDC Data Gathering?CookingEnergyConvElec, change in total daily cooking energy consumed by electric oven in convection modeWh/dayCalculated1?CookingEnergySteamElec, change in total daily cooking energy consumed by electric oven in steam modeWh/dayCalculated1?IdleEnergyConvElec, change in total daily idle energy consumed by electric oven in convection modeWh/dayCalculated1?IdleEnergySteamElec, change in total daily idle energy consumed by electric oven in convection modeWh/dayCalculated1HOURS, average daily operating hoursHours/dayEDC Data GatheringDefault = 12 hours1DAYS, annual days of operationDays/yrEDC Data GatheringDefault = 3651EFOODConvElec, energy absorbed by food product for electric oven in convection modeW-hr/lbEDC Data GatheringDefault = 73.21LBElec, estimated mass of food cooked per day for electric ovenlbs/dayEDC Data GatheringDefault = 200 (If P < 15) or 250 (If P ≥ 15)1ElecEFF, cooking energy efficiency of electric oven%EDC Data GatheringDefault: REF _Ref476651260 \h \* MERGEFORMAT Table 31441%Conv , percentage of time in convection mode%EDC Data GatheringDefault = 501EFOODSteamElec, energy absorbed by food product for electric oven in steam modeW-hr/lbEDC Data GatheringDefault = 30.81%steam, percentage of time in steam mode%1 - %conv1ElecIDLEConvBase, Idle energy rate of baseline electric oven in convection modeWEDC Data GatheringDefault: REF _Ref465244529 \h \* MERGEFORMAT Table 31451ElecIDLESteamBase, Idle energy rate of baseline electric oven in steam modeWEDC Data GatheringDefault: REF _Ref465244529 \h \* MERGEFORMAT Table 31451ElecPCConvBase, production capacity of baseline electric oven in convection modelbs/hrEDC Data GatheringDefault: REF _Ref465244648 \h \* MERGEFORMAT Table 31461ElecPCSteamBase, production capacity of baseline electric oven in steam modelbs/hrEDC Data GatheringDefault: REF _Ref465244648 \h \* MERGEFORMAT Table 31461ElecIDLEConvEE, Idle energy rate of ENERGY STAR electric oven in convection modeW= (0.08*P +0.4989)*1,0001ElecPCConvEE, Production capacity of ENERGY STAR electric oven in convection modelbs/hrEDC Data GatheringDefault: REF _Ref465244749 \h \* MERGEFORMAT Table 31471ElecPCSteamEE, Production capacity of ENERGY STAR electric oven in steam modelbs/hrEDC Data GatheringDefault: REF _Ref465244749 \h \* MERGEFORMAT Table 31471ElecIDLESteamEE, Idle energy rate of ENERGY STAR electric oven in steam modeW=(0.133* P+0.64)*1,000111,000, W to kW conversion factorkW/W11,0001CF, Coincidence factorNoneEDC Data GatheringDefault = 0.93kWhbase ,energy usage of baseline vending machinekWhEDC Data GatheringEDC Data GatheringkWhee, energy usage of ENERGY STAR vending machinekWhEDC Data GatheringEDC Data GatheringV, refrigerated volume of the vending machineft3EDC Data GatheringDefault: 24.33365, days per yearDaysyr365Conversion FactorDefault SavingsTable 3144142: Default Baseline and Efficient-Case Values for ElecEFFBeverage Vending Machine Energy Savings ValueBaseEEElecEFFConv72%76%ElecEFFSteam49%55%Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 145: Default Baseline Values for ElecIDLEPan CapacityConvection Mode (ElecIDLEConvBase)Steam Mode (ElecIDLESteamBase)< 151,3205,260≥ 152,2808,710Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 146: Default Baseline Values for ElecPCPan CapacityConvection Mode (ElecPCConvBase)Steam Mode (ElecPCSteamBase)< 1579126≥ 15166295Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 147: Default Efficient-Case Values for ElecPCPan CapacityConvection Mode (ElecPCConvEE)Steam Mode (ElecPCSteamEE)< 15119177≥ 15201349Default SavingsThere are no default Equipment ClassDefault kWh SavingsClass A71Class B180Energy savings for this measure are fully deemed and may be claimed using the algorithm above and the variable defaults. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesENERGY STAR, Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" STAR, Program Requirements Product Specification for Commercial Ovens Eligibility Criteria Version 2.2, HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019ENERGY STAR Commercial Convection OvenTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNumber of Convection Ovens InstalledMeasure Life12 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionCommercial convection ovens that meet ENERGY STAR requirementsSource 2 utilize improved gaskets for faster and more uniform cooking processes to achieve higher heavy load cooking efficiencies and lower idle energy rates, making them on average about 20 percent more efficient than standard models. The baseline equipment is assumed to be a standard efficiency convection oven with a heavy load efficiency of 65% for both full size (i.e., a convection oven that is capable of accommodating full-size sheet pans measuring 18 x 26 x 1-inch) and 68% for half size (i.e., a convection oven that is capable of accommodating half-size sheet pans measuring 18 x 13 x 1-inch) electric ovens.EligibilityThis measure targets non-residential customers who purchase and install an electric convection oven that meets ENERGY STAR specifications rather than a non-ENERGY STAR unit. The energy efficient convection oven can be new or rebuilt.AlgorithmsThe annual energy savings calculation utilizes the idle energy rate of an ENERGY STAR electric convection oven and a typical electric convection oven, along with estimated annual hours of operation for cooking activities. The energy savings and peak demand reductions are obtained through the following formulas shown below.Source 1, 2kWh= kWhbase-kWheekWhi= (kWhcooking,i+kWhidle,i)× DAYSkWhcooking,i= LB × EfoodEFFi kWhidle,i= IDLEi ×(HOURSDAY- LBPCi) ?kWpeak=kWhHOURSDAY×DAYS × CF Definition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 148: Terms, Values, and References for ENERGY STAR Commercial Electric Convection OvensTermUnitValuesSourcei, Either “base” or “ee” depending on whether the calculation of energy consumption is being performed for the baseline or efficient case, respectively.NoneEDC Data Gathering---kWhbase, Annual energy usage of the baseline equipment calculated using baseline valueskWh/yrCalculated---kWhee, Annual energy usage of the efficient equipment calculated using efficient valueskWh/yrCalculated---kWhcooking, Daily cooking energy consumption kWh/dayCalculated---kWhidle, Daily idle energy consumptionkWh/dayCalculated---HOURSDAY, Average daily operating hoursHours/dayEDC Data GatheringDefault = 121DAYS, Annual days of operationDays/yrEDC Data GatheringDefault = 3651Efood, ASTM energy to food; amount of energy absorbed by the food per pound during cookingkWh/lbEDC Data GatheringDefault = 0.07321LB, Pounds of food cooked per daylbs/dayEDC Data GatheringDefault = 1001EFF, Heavy load cooking energy efficiency%EDC Data GatheringDefault: REF _Ref465694762 \h \* MERGEFORMAT Table 31491, 2IDLE, Idle demand ratekWDefault: REF _Ref465694762 \h \* MERGEFORMAT Table 31491, 2PC, Production capacitylbs/hrEDC Data GatheringDefault: REF _Ref465694762 \h \* MERGEFORMAT Table 31491, 2CF, Coincidence factorNoneEDC Data GatheringDefault = 0.93Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 149: Electric Oven Performance Metrics: Baseline and Efficient Default ValuesParameterHalf SizeFull SizeBaseline ModelEfficient ModelBaseline ModelEfficient ModelIDLE1.031.02.01.6EFF68%71%65%71%PC45509090Default Savings. US Environmental Protection Agency and US Department ofTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 150: Default Unit Savings and Demand Reduction for ENERGY STAR Commercial Electric Convection Ovens.ParameterENERGY STAR Convection Oven SavingskWhkWHalf Size1920.040Full Size1,9370.398Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesSavings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" STAR Commercial Ovens Version 2.2 Specification. HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019ENERGY STAR Commercial FryerTarget SectorCommercial EstablishmentsMeasure UnitNumber of Commercial Fryers InstalledMeasure Life12 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionCommercial fryers that meet ENERGY STAR specifications offer shorter cook times and higher production rates through advanced burner and heat exchanger designs. Standard sized fryers that have earned the ENERGY STAR are about 14?percent more energy efficient than standard models and large vat commercial fryers that have earned the ENERGY STAR are up to 35 percent more energy efficient than non-certified models.EligibilityThis measure applies to electric ENERGY STAR fryers installed in a commercial kitchen. To qualify for this measure, the customer must install a commercial electric fryer that has earned the ENERGY STAR label.AlgorithmsThe annual energy savings calculation utilizes the idle energy rate of ENERGY STAR electric fryers and a typical electric fryer, along with estimated annual hours of operation for cooking activities. Energy savings estimates are provided for both standard and large vat fryers. The unit energy savings and peak demand reduction are obtained through the following formulas:ΔkWh=kWhbase-kWheekWhi=(kWhcooking,i+kWhidle, i)×DAYSkWhcooking,i=LB×EfoodEFFikWhidle,i=IDLEi×(HOURSDay-LBPCi)ΔkWpeak=[ΔkWh / (HOURSDay x DAYS)] x CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 151: Terms, Values, and References for ENERGY STAR Commercial FryersTermUnitValuesSourcei, Either “base” or “ee” depending on whether the calculation of energy consumption is being performed for the baseline or efficient case, respectively.NoneEDC Data Gathering---kWhbase, Annual energy usage of the baseline equipment calculated using baseline valueskWh/yearCalculated---kWhee, Annual energy usage of the efficient equipment calculated using efficient valueskWh/yearCalculated---kWhcooking, Daily cooking energy consumption kWh/dayCalculated---kWhidle, Daily idle energy consumptionkWh/dayCalculated---HOURSDay, Average daily operating hoursHours/dayEDC Data GatheringSee REF _Ref476662412 \h \* MERGEFORMAT Table 31521DAYS, Annual days of operationDays/yearEDC Data GatheringDefault = 3651Efood, ASTM energy to food; amount of energy absorbed by the food per pound during cookingkWh/lbEDC Data GatheringDefault = 0.1671LB, Pounds of food cooked per daylb/dayEDC Data GatheringDefault = 1501EFF, Heavy load cooking energy efficiency %See REF _Ref476662412 \h \* MERGEFORMAT Table 31522IDLE, Idle energy rate kWSee REF _Ref476662412 \h \* MERGEFORMAT Table 31522PC, Production capacitylb/hrSee REF _Ref476662412 \h \* MERGEFORMAT Table 31521CF, Coincidence factorNoneEDC Data GatheringDefault: 0.93Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 152: Electric Fryer Performance Metrics: Baseline and Efficient Default Values ParameterStandard FryerLarge Vat FryerBaseline ModelEnergy Efficient ModelBaseline ModelEnergy Efficient ModelHOURSDay16161212IDLE1.050.801.351.10EFF75%83%70%80%PC6570100110Default SavingsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 153: Default for ENERGY STAR Commercial Electric FryersEquipment TypeΔkWhΔkWpeakStandard Fryer2,3760.37Large Vat Fryer2,5360.52Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesENERGY STAR, Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" EPA. Effective October 1, 2016. ENERGY STAR? . “Program Requirements; Product Specification for Commercial Fryers Eligibility Criteria. HYPERLINK "" Refrigerated Beverage Vending Machines.” HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019.ENERGY STAR Commercial Hot Food Holding CabinetTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNumber of Hot Food Holding Cabinets InstalledMeasure Life12 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionCommercial electric hot food holding cabinet models that meet ENERGY STAR requirements incorporate better insulation to reduce heat loss and may also offer additional energy saving devices such as more precise controls, full-perimeter door gaskets, magnetic door handles, or dutch doors. The insulation of the cabinet also offers better temperature uniformity within the cabinet from top to bottom. This means that qualified hot food holding cabinets are more efficient at maintaining food temperature while using less energy. The baseline equipment is assumed to be a standard efficiency hot food holding cabinet that is not ENERGY STAR certified.EligibilityThis measure targets non-residential customers who purchase and install a hot food holding cabinet that meets ENERGY STAR specifications rather than a non-ENERGY STAR unit. The energy efficient hot food holding cabinet can be new or rebuilt. It can include glass or solid door cabinets (fully closed compartment with one or more doors).AlgorithmsThe annual energy savings calculation utilizes idle energy rates of ENERGY STAR hot food holding cabinet and a typical hot food holding cabinet, along with estimated annual hours of operation. The unit energy savings and peak demand reduction are obtained through the following formulas:ΔkWh=IDLEbase-IDLEee×0.001× HOURSDay × DAYSΔkWpeak=[ΔkWh / (HOURSDay x DAYS)] x CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 154: Terms, Values, and References for ENERGY STAR Commercial Hot Food Holding CabinetsTermUnitValuesSourceIdlebase, Idle energy rate of the baseline equipmentWattsEDC Data Gathering (see REF _Ref465342258 \h \* MERGEFORMAT Table 3155Default = 6001, 2Idleee, Idle energy rate of the efficient equipmentWattsEDC Data Gathering (see REF _Ref465342258 \h \* MERGEFORMAT Table 3155)Default = 2841, 20.001, Conversion of W to kWkW/W0.001Conversion FactorHOURSDay, Average daily operating hoursHours/dayEDC Data GatheringDefault = 151DAYS, annual days of operationDays/YearEDC Data GatheringDefault = 3651V, the internal volume of the holding cabinetft3/unitEDC Data GatheringDefault = 1.5EDC Data Gathering1CF, Coincidence factorNone0.93Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 155: Hot Food Holding Cabinet Performance Metrics: Default Baseline and Efficient Value EquationsInternal VolumeProduct Idle Energy Consumption RateBaseline Model (IDLEbase)Efficient Model (IDLEee)0 < V < 1340 x V21.5 x V13 ≤ V < 2840 x V2.0 x V + 254.028 ≤ V40 x V3.8 x V + 203.5Default SavingsThe default annual energy savings value for ENERGY STAR Commercial Hot Food Holding Cabinet is 1,730 kWh and the default peak demand savings value is 0.28 kW.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesENERGY STAR, Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" STAR? Program Requirements Product Specification for Commercial Hot Food Holding Cabinets Eligibility Criteria Version 2.0, effective October 1, 2011 HYPERLINK "" New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019.ENERGY STAR Commercial DishwasherTarget SectorCommercial and Industrial EstablishmentsMeasure UnitDishwasherMeasure Life10 years Source 1Measure VintageReplace on Burnout or New ConstructionThis measure describes the energy savings from installing an ENERGY STAR commercial dishwasher in applicable commercial settings. The measure includes stationary rack machines (undercounter; single tank door-type; pot, pan, and utensil; and glasswashing) and conveyor machines (rack and rackless/flight type, multi and single tank). Products must meet idle energy rate and water consumption limits, as determined by both machine type and sanitation approach (chemical/low temp versus high temp).A high temp machine is defined as a machine applies hot water to the surfaces of dishes to achieve sanitization. A low temp machine is defined as a machine that applies a chemical sanitizing solution to the surfaces of dishes to achieve sanitization.Source 2EligibilityTo be eligible, commercial dishwashers must meet the Version 2.0 ENERGY STAR Program Requirements for Commercial Dishwashers, effective February 1, 2013.Source 3AlgorithmsElectric energy savings are composed of three parts: electric energy savings from the building water heater, electric energy savings from the booster water heater, and idle electric energy savings. Note that if a building only has a natural gas water heater, then there will still be savings from reduction in idle energy.ΔkWh= ΔkWhWaterHeater+ΔkWhBoosterHeater+ΔkWhIdleΔkWhWaterHeater= WUbase-WUee×RW×Days×?Tin×1.0Btulb?℉×8.2lbgalRE×3,412BtukWhΔkWhBoosterHeater= WUbase-WUee×RW×Days×?Tin×1.0Btulb?℉×8.2lbgalRE×3,412BtukWhkWhIdle=kWbase×Days×(HD-RW×WT/60MinHr -kWee×Days×(HD-(RW×WT)60MinHr?kWpeak=ΔkWhHD × Days×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 156: Terms, Values, and References for ENERGY STAR Commercial DishwashersTermUnitValuesSourceWUbase, Water use per rack of baseline dishwasher, varies by machine type and sanitation methodGallonsEDC Data GatheringEDC Data GatheringDefault: REF _Ref528138800 \h \* MERGEFORMAT Table 31574WUee, Water use per rack of ENERGY STAR dishwasher, varies by machine type and sanitation methodGallonsEDC Data GatheringEDC Data GatheringDefault: REF _Ref528138800 \h \* MERGEFORMAT Table 31574RW, Number of racks washed per day, varies by machine type and sanitation methodRacks WashedDayEDC Data GatheringEDC Data GatheringDefault: REF _Ref528138800 \h \* MERGEFORMAT Table 31574Days, Annual days of dishwasher consumption per yearDaysYearEDC Data GatheringEDC Data GatheringDefault = 3654?Tin, Temperature rise in water delivered by building water heater or booster water heater, value varies by type of water heater source °FEDC Data GatheringEDC Data GatheringBuilding WH = 70Booster WH = 404RE, Recovery efficiency of electric water heaterDecimal0.984kWbase, Idle power draw of baseline dishwasher, varies by machine type and sanitation methodkWEDC Data GatheringEDC Data GatheringDefault: REF _Ref528138800 \h \* MERGEFORMAT Table 31574HD, Hours per day of dishwasher operationHoursDayEDC Data GatheringEDC Data GatheringDefault = 184WT, Wash time per dishwasher, varies by machine type and sanitation methodMinutesEDC Data GatheringEDC Data Gathering,Default: REF _Ref528138800 \h \* MERGEFORMAT Table 31574kWee, Idle power draw of ENERGY STAR dishwasher, varies by machine type and sanitation methodkWEDC Data GatheringEDC Data GatheringDefault: REF _Ref528138800 \h \* MERGEFORMAT Table 31574Density of Waterlb/gallon8.2075CF, Coincidence factorNone0.96 REF _Ref532845507 \h Table 3157 shows the default values for water user per rack, racks washed per day, wash time per dishwasher, and idle power draws by machine type and sanitation method. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 157: Default Inputs for ENERGY STAR Commercial DishwasherMachine TypeWUbaseWUeeRWWTkWbasekWeeLow TemperatureUnder Counter1.731.19752.00.500.50Stationary Single Tank Door2.101.182801.50.600.60Single Tank Conveyor1.310.794000.31.601.50Multi Tank Conveyor1.040.546000.32.002.00High TemperatureUnder Counter1.090.86752.00.760.50Stationary Single Tank Door1.290.892801.00.870.70Single Tank Conveyor0.870.704000.31.931.50Multi Tank Conveyor0.970.546000.22.592.25Pot, Pan, and Utensil0.700.582803.01.201.20Default SavingsUsing the defaults provided above, the savings per component are shown in REF _Ref535418977 \h Table 3158.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 158: Default Annual Energy and Peak Demand Savings for ENERGY STAR Commercial DishwashersMachine Type?kWhWaterHeater?kWhBoosterHeater?kWhIdle?kWh (if Electric Water Heater and Booster Water Heater)?kWpeakLow TemperatureUnder Counter2,540N/A02,5400.35Stationary Single Tank Door16,153N/A016,1532.21Single Tank Conveyor13,042N/A58413,6261.87Multi Tank Conveyor18,811N/A018,8112.58High TemperatureUnder Counter1,0826181,4713,1710.43Stationary Single Tank Door7,0234,01382711,8631.63Single Tank Conveyor4,2642,4362,5119,2121.26Multi Tank Conveyor16,1789,2441,98627,4083.75Pot, Pan, and Utensil2,1071,20403,3110.45Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesPA Consulting Group Inc. “State of Wisconsin Public Service Commission of Wisconsin Focus on Energy Evaluation Business Programs: Measure Life Study Final Report.” August 25, 2009. HYPERLINK "" STAR Program Requirements for Commercial Dishwashers: Partner Commitments. HYPERLINK "" ogram_Requirements.pdfENERGY STAR? Program Requirements Product Specification for Commercial Dishwashers Eligibility Criteria Version 2.0, effective February 1, 2013 HYPERLINK "" STAR, Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" inlet temperature assumed at 140 degrees F. HYPERLINK "" New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019ENERGY STAR Commercial GriddleTarget SectorCommercial and Industrial EstablishmentsMeasure UnitElectric GriddleMeasure Life12 years Source 1Measure VintageReplace on BurnoutEligibilityThis measure applies to the installation of electric ENERGY STAR griddles as either a new item or replacement for an existing unit. The griddles must meet minimum ENERGY STAR efficiency requirements and be on the ENERGY STAR qualified products list. Commercial griddles that are ENERGY STAR qualified are about 10% to 11% more energy efficient than standard models, due to the use of highly conductive or reflective plate materials, improved thermostatic controls, and strategic placement of thermocouples.The baseline equipment is a unit with efficiency specifications that do not meet the minimum ENERGY STAR efficiency requirements.AlgorithmsEnergy savings for griddles come from increased efficiency during three modes: cooking, idle, and preheating. Algorithms for annual energy savings and peak demand savings are shown below.ΔkWh= ΔWhCooking+ΔWhIdle+ΔWhPreHeat×Days*11,000ΔWhCooking= LbF×EnergyToFood×1Effbase-1EffeeΔWhIdle=Ibase×A×OH-LbFPCbase×A-PHN×PHT60minhr-Iee×A×OH-LbFPCee×A-PHN×PHT60minhrΔWhPreHeat=PHN×PHT60minhr×A×PHRbase-PHRee?kWpeak=?kWh×CFDays×OH Definition of Terms Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 159: Terms, Values, and References for ENERGY STAR GriddlesTermUnitValuesSourceDays, Operating days per yearDays/yearEDC Data GatheringEDC Data GatheringDefault = 3652LbF, Pounds of food cooked per day lbsEDC Data GatheringEDC Data GatheringDefault = 1002EnergyToFood, ASTM energy to foodWhlbDefault = 1392Effbase, Baseline cooking efficiency%EDC Data GatheringEDC Data GatheringDefault = 65%2Effee, ENERGY STAR cooking efficiency%EDC Data GatheringEDC Data GatheringDefault = 70%2Ibase, Baseline idle energy rateWft2EDC Data GatheringEDC Data GatheringDefault = 4002Iee, ENERGY STAR idle energy rateWft2EDC Data GatheringEDC Data GatheringDefault = 3203A, Area of griddleft2EDC Data GatheringEDC Data GatheringDefault = 2ft x 3ft = 6ft22OH, Operating hours per dayHoursDayEDC Data GatheringEDC Data GatheringDefault = 122PCbase, Baseline production capacitylbhours?ft2EDC Data GatheringEDC Data GatheringDefault = 5.832PCee, ENERGY STAR production capacitylbhours?ft2EDC Data GatheringEDC Data GatheringDefault = 6.672PHN, Number of preheats per dayPreheatsDayEDC Data GatheringEDC Data GatheringDefault = 14PHT, Time to preheatMinPreheatEDC Data GatheringEDC Data GatheringDefault = 154PHRbase, Baseline preheat rateWft2EDC Data GatheringEDC Data GatheringDefault = 2,6674PHRee, ENERGY STAR preheat rateWft2EDC Data GatheringEDC Data GatheringDefault = 1,3334CF, Coincidence factorNone0.95Default Savings REF _Ref528255053 \h Table 3160 provides the default savings, using the default values in REF _Ref528255063 \h Table 3159.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 160: Default Savings for ENERGY STAR Griddles?WhCooking?WhIdle?WhPreHeatEnergy Savings (kWh)Peak Demand Savings (kW)1,5273,5832,0012,5960.533Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. ENERGY STAR, Savings Calculator for ENERGY STAR Certified Commercial Kitchen Equipment. HYPERLINK "" STAR Commercial Griddles Specification Tier 2 specifications effective January 1, 2011. Statewide Technical Reference Manual v7.0, September 28, 2018. HYPERLINK "" . Accessed December 2018. New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs v6, effective date January 1, 2019US Department of Energy. “Refrigerated Beverage Vending Machines.” HYPERLINK "" STAR. US Environmental Protection Agency and US Department of Energy. “ENERGY STAR Certified Vending Machines Spread Sheet” HYPERLINK "" ShellWall and Ceiling InsulationMeasure NameWall and Ceiling InsulationTarget SectorCommercial and Industrial EstablishmentsMeasure UnitWall and Ceiling InsulationUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageNew Construction or RetrofitWall and ceiling insulation is one of the most important aspects of the energy system of a building. Insulation dramatically minimizes energy expenditure on heating and cooling. Increasing the R-value of wall insulation above building code requirements generally lowers heating and cooling costs. Incentives are offered with regard to increases in R-value rather than type, method, or amount of insulation.An R-value indicates the insulation’s resistance to heat flow – the higher the R-value, the greater the insulating effectiveness. The R-value depends on the type of insulation and its material, thickness, and density. When calculating the R-value of a multilayered installation, add the R-values of the individual layers. EligibilityThis measure applies to non-residential buildings or common areas in multifamily complexes heated and/or cooled using electricity. Existing construction buildings are required to meet or exceed the code requirement. New construction buildings must exceed the code requirement. Eligibility may vary by PA EDC. Buildings with Central AC systems or Air Source Heat Pumps (ASHP) are eligible. Buildings ; savings from chiller-cooled with other systems (e.g., chilled water systems)buildings are not eligibleincluded. AlgorithmsAlgorithmsThe savings depend on the area and R-value offour main factors: baseline and upgraded walls/ceilingscondition, heating system type and/or size, cooling system type and size, and location. The algorithm for Central AC and Air Source Heat Pumps (ASHP) is as follows: Ceiling/Wall InsulationkWh= ?kWhcool+?kWhheat?kWhcool= CDD×24Eff×1,000×Aceiling1Ceiling Ri-1Ceiling Rf+Awall1WallRi-1Wall Rf?kWhheat= HDD×24COP×3,412×Aceiling1Ceiling Ri-1Ceiling Rf+Awall1WallRi-1Wall Rf?kWpeak= ?kWhcoolEFLHcool×CFDefinition of TermsTable 3161143: Terms,: Non-Residential Insulation – Values, and References for Wall and Ceiling InsulationTerm UnitValuesSourceAceiling, Area of the ceiling/attic insulation that was installed ft2EDC Data GatheringEDC Data GatheringAwall, Area of the wall insulation that was installedft2EDC Data GatheringEDC Data GatheringHDD, Heating degree days with a 65 degree base℉?DaysSee Table 7 in Appendix AAllentown = 5318Erie = 6353Harrisburg = 4997Philadelphia = 4709Pittsburgh = 5429Scranton = 6176Williamsport = 565121CDD, Cooling degree days with a 65 degree base℉?DaysSee Table 7 in Appendix AAllentown = 787Erie = 620Harrisburg = 955Philadelphia = 1235Pittsburgh = 726Scranton = 611Williamsport = 7092124, Hours per dayHoursDay24Conversion Factor1,0001000, Watts per kilowattWkW1,0001000Conversion Factor3,412, Btu per kWhBtukWh3,412Conversion FactorCeiling Ri, the R-value of the ceiling insulation and support structure before the additional insulation is installed°F?ft2?hrBtuDefault: For new construction buildings and when variable is unknown for existing buildings: See REF _Ref272826219 \h \* MERGEFORMAT Table 3162144 and REF _Ref275942945 \h \* MERGEFORMAT Table 3145 for values by building typeEDC Data Gathering; 32, 4Wall Ri, the R-value of the wall insulation and support structure before the additional insulation is installed°F?ft2?hrBtuDefault: For new construction buildings and when variable is unknown for existing buildings: See REF _Ref272826219 \h \* MERGEFORMAT Table 3162144 and REF _Ref275942945 \h \* MERGEFORMAT Table 3145 for values by building typeEDC Data Gathering; 3,Ceiling Rf, Total R-value of all ceiling/attic insulation after the additional insulation is installed°F?ft2?hrBtuEDC Data GatheringEDC Data GatheringWall Rf, Total R-value of all wall insulation after the additional insulation is installed°F?ft2?hrBtuEDC Data GatheringEDC Data GatheringEFLHcool, Equivalent full load cooling hoursHoursYearBased on Logging, BMS data or ModelingEDC Data GatheringDefault: See REF _Ref395530180 \h \* MERGEFORMAT Table 327254CF, Demand Coincidence factorFactor Decimal Default: REF _Ref524879376 \h \* MERGEFORMAT Table 328See REF _Ref395540535 \h \* MERGEFORMAT Error! Reference source not found.4 Eff, Efficiency of existing coolingHVAC equipment. Depending on the size and age, this will either be the SEER, IEER, or EER (use EER only if SEER or IEER are not available)Btu/hrWEDC Data GatheringNameplateEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624COP, Efficiency of the heating systemNoneNameplateEDC Data GatheringEDC Data GatheringDefault: See REF _Ref393870871 \h \* MERGEFORMAT Table 32624See REF _Ref393870871 \h \* MERGEFORMAT Table 32624Table 3162144: InitialCeiling R-Values by Building TypeStructure andBuilding TypeCeiling Ri-Value (New Construction)Ceiling Ri-Value (Existing)CeilingsLarge OfficeLarge RetailLodgingHealthEducationGrocery209Insulation entirely above roof deckR-30ci1EDC Data GatheringMetal buildingsR-19 + R-11 LS2Attic and otherR-38WallsMassR-11.4ciEDC Data GatheringMetal buildingSmall OfficeWarehouseR-13 + R-13ci24.413.4Metal framedR-13 + R-7.5ciWood framed and otherSmall RetailRestaurantConvenience StoreR-13 + R-3.8ci OR R-20209Below-grade wallR-7.5ci1 ci = Continuous insulation2 LS = Liner systemTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 145: Wall R-Values by Building TypeBuilding TypeWall Ri-Value (New Construction)Wall Ri-Value(Existing)Large Office141.6Small OfficeLarge RetailSmall RetailConvenience Store143.0LodgingHealthEducationGrocery132.0Restaurant143.2Warehouse142.5Default SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Capped based on the requirements of the Pennsylvania Technical Reference Manual. SWE analysis of TMY3 data for PA weather stations.U.S. Department of Commerce. Climatography of the United States No. 81 Supplement No. 2. Annual Degree Days to Selected Bases 1971 – 2000. Scranton uses the values for Wilkes-Barre. HDD were adjusted downward to account for business hours. CDD were not adjusted for business hours, as the adjustment resulted in an increase in CDD and so not including the adjustment provides a conservative estimate of energy savings.The initial R-value for a ceiling for existing buildings is based on the EDC eligibility requirement that at least R-11 be installed and that the insulation must meet at least IECC 2009 code. The initial R-value for new construction buildings is based on IECC 20152009 code for climate zone 5. HYPERLINK "" The initial R-value for a wall assumes that there was no existing insulation, or that it has fallen down resulting in an R-value equivalent to that of the building materials. Building simulation modeling using DOE-2.2 model (eQuest) was performed for a building with no wall insulation. The R-value is dependent upon the construction materials and their thickness. Assumptions were made about the building materials used in each sector. 2009 International Energy Conservation Code. Used climate zone 5 which covers the majority of Pennsylvania. The R-values required by code were used as inputs in the eQuest building simulation model to calculate the total R-value for the wall including the building materials. HYPERLINK "" on results from Nexant’s eQuest modeling analysis 2014. Consumer ElectronicsENERGY STAR Office EquipmentMeasure NameENERGY STAR Office EquipmentTarget SectorCommercial and Industrial EstablishmentsMeasure UnitOffice EquipmentUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure LifeSee REF _Ref395534551 \h \* MERGEFORMAT Table 3164147Measure VintageReplace on BurnoutEligibilityThis protocol estimates savings for installing ENERGY STAR office equipment compared to standard efficiency equipment. The measurement of energy and demand savings is based on a deemed savings value multiplied by the quantity of the measure.AlgorithmsThe general form of the equation for the ENERGY STAR Office Equipment measure savings’ algorithms is:Number of Units ×Savings per UnitTo determine resource savings, the per unit estimateestimates in the algorithms will be multiplied by the number of units. Per unit savings are primarily derived from the ENERGY STAR calculator for office equipment.ENERGY STAR Desktop Computer?kWh=ESAVdeskcom=ESAVcom?kWpeak=DSAVdeskcom=DSAVcomENERGY STAR Laptop Computer?kWh=ESAVlapcom?kWpeak=DSAVlapcomENERGY STAR Fax Machine?kWh=ESavfax?kWpeak=DSavfaxENERGY STAR Copier?kWh=ESavcop?kWpeak=DSavcopENERGY STAR Printer?kWh=ESavpri?kWpeak=DSavpriENERGY STAR Multifunction?kWh=ESavmul?kWpeak=DSavmulENERGY STAR Monitor?kWh=ESavmon?kWpeak=DSavmonDefinition of TermsENERGY STAR Desktop Phone?kWh=ESavdeskpho?kWpeak=DSavdeskphoENERGY STAR Conference Phone?kWh=ESavconfpho?kWpeak=DSavconfphoDefinition of TermsTable 3163146: Terms, Values, and References for: ENERGY STAR Office Equipment - ReferencesTermUnitValuesSourceESavdeskcom, Electricity savings per purchased ENERGY STAR desktop computerESavlapcom, Electricity savings per purchased ENERGY STAR laptop computerESavfax, Electricity savings per purchased ENERGY STAR fax machineESavcop, Electricity savings per purchased ENERGY STAR copierESavpri, Electricity savings per purchased ENERGY STAR printerESavmul, Electricity savings per purchased ENERGY STAR multifunction machineESavmon, Electricity savings per purchased ENERGY STAR monitorESavdeskpho, Electricity savings per purchased ENERGY STAR desktop phoneESavconfpho, Electricity savings per purchased ENERGY STAR conference phonekWhSee REF _Ref275905692 \h \* MERGEFORMAT Table 31651DSavdeskcom, Summer demand savings per purchased ENERGY STAR desktop computerDSavlapcom, Summer demand savings per purchased ENERGY STAR laptop computerDSavfax, Summer demand savings per purchased ENERGY STAR fax machineDSavcop, Summer demand savings per purchased ENERGY STAR copierDSavpri, Summer demand savings per purchased ENERGY STAR printerDSavmul, Summer demand savings per purchased ENERGY STAR multifunction machineDSavmon, Summer demand savings per purchased ENERGY STAR monitorESavdeskpho, Summer demand savings per purchased ENERGY STAR desktop phoneESavconfpho, Summer demand savings per purchased ENERGY STAR conference phonekWSee REF _Ref275905692 \h \* MERGEFORMAT Table 31652ESavcom, Electricity savings per purchased ENERGY STAR computerESavfax, Electricity savings per purchased ENERGY STAR fax machine.ESavcop, Electricity savings per purchased ENERGY STAR copier.ESavpri, Electricity savings per purchased ENERGY STAR printer.ESavmul, Electricity savings per purchased ENERGY STAR multifunction machine.ESavmon, Electricity savings per purchased ENERGY STAR monitor.kWhSee REF _Ref275905692 \h \* MERGEFORMAT Table 31481DSavcom, Summer demand savings per purchased ENERGY STAR computer.DSavfax, Summer demand savings per purchased ENERGY STAR fax machine.DSavcop, Summer demand savings per purchased ENERGY STAR copier.DSavpri, Summer demand savings per purchased ENERGY STAR printer.DSavmul, Summer demand savings per purchased ENERGY STAR multifunction machine.DSavmon, Summer demand savings per purchased ENERGY STAR monitor.kWSee REF _Ref275905692 \h \* MERGEFORMAT Table 31482Measures lives for ENERGY STAR office equipment are shown in REF _Ref392159941 \h Table 3164.have the following measure lives: Table 3164147: ENERGY STAR Office Equipment Measure LifeEquipmentCommercial Life (years)SourceDesktop Computer41Laptop Computer4Monitor7Desktop Phone7Conference Phone7Fax6Multifunction Device6Printer6Copier6DefaultEquipmentCommercial Life (years)Computer4Monitor4Fax4Multifunction Device6Printer5Copier6Deemed SavingsTable 3165148: ENERGY STAR Office Equipment Energy and Demand Savings ValuesMeasureEnergy Savings (ESav)Summer PeakDemand Savings (DSav)SourceDesktop Computer 124133 kWh0.0167 018 kW1, 2Laptop Computer370.00501, 2Fax Machine (laser)16 78 kWh0.0022 0105 kW1, 2Copier (monochrome)1, 2 1-25 images/min73 kWh0.0098 kW 26-50 images/min151 kWh0.0203 kW 51+ images/min162 kWh0.0218 kWPrinter (laser, monochrome)1, 2 1-10 images/min26 kWh0.0035 kW 11-20 images/min73 kWh0.0098 kW 21-30 images/min104 kWh0.0140 kW 31-40 images/min156 kWh0.0210 kW 41-50 images/min133 kWh0.0179 kW 51+ images/min329 kWh0.0443 kWMultifunction (laser, monochrome)1, 2 1-10 images/min78 kWh0.0105 kW 11-20 images/min147 kWh0.0198 kW 21-44 images/min253 kWh0.0341 kW 45-99 images/min422 kWh0.0569 kW 100+ images/min730 kWh0.0984 kWMonitor15 kWh0.0020 kW1, 2Less than 12 inches50.000712.0 – 16.9 inches60.000817.0 – 22.9 inches90.001223.0 – 24.9 inches80.001125.0 – 60.9 inches220.0030Desktop Phone110.0015 1, 2Conference Phone 120.0016 1, 2Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesENERGY STAR Qualified Office Equipment Savings Calculator (Referenced latest version released in October 2016May 2013). Default values were used. As of December 1, 2018, the published ENERGY STAR Office Equipment Calculator does not reflect the current specification for computers (ENERGY STAR? Program Requirements Product Specification for Computers Eligibility Criteria Version 7.1). V7.1 introduced modest improvements to both desktop and laptop computer efficiency. As a result, the savings values for computers presented in this measure entry reflect savings for V6-compliant models. This characterization should be updated when an updated ENERGY STAR Office Equipment Calculator becomes available.Using a commercial office equipment load shape, the percentage of total savings that occur during the PJM peak demand period was calculated and multiplied by the energy savings.Office Equipment – Network Power Management EnablingMeasure NameNetwork Power Management EnablingTarget SectorCommercial and Industrial EstablishmentsMeasure UnitOne copy of licensed software installed on a PC workstationUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life5 years Source 1Measure VintageRetrofitAOver the last few years, a number of strategies are availablehave evolved to save energy in desktop computers. One class of products uses software implemented at the network level for desktop computers that manipulates the internal power settings of the central processing unit (CPU) and of the monitor. These power settings are an integral part of a computer’s operating system (most commonly, Microsoft Windows) including “on”, “standby”, “sleep”, and “off” modes and can be set by users from their individual desktops.Most individual computer users are unfamiliar with these energy-saving settings, and hence, settings are normally set by an IT administrator to minimize user complaints related to bringing the computer back from standby, sleep, or off modes. However, these default settingsstrategies use a large amount of energy during times when the computer is not in active use. Studies have shown that energy consumed during non-use periods is large, and is often the majority of total energy consumed.Qualifying software must control desktop computer and monitor power settings within a network from a central location.Eligibility The defaultdeemed savings reported in REF _Ref395535864 \h Table 3167149 are applicable to any software that manages workstations in a networked environment. Such softwares should be capable ofmeets the following Pacific Northwest Regional Technical Forum's (“RTF”) Networked Computer Power Management Control Software Specifications: Workstation is defined as the computer monitor and the PC box.The software shouldshall have wake-on-LAN capability to allow networked workstations to be remotely wakened from or placed into any power-saving mode and to remotely boot or shut down ACPI-compliant workstations.The software should have the capability toshall give the IT administrator easily-accessible central control over the power management settings of networked workstations that optionally overrides settings made by users.The software shouldshall be capable of applying specific power management policies to network groups, utilizing existing network grouping capabilities.The software shouldshall be compatible with multiple operating systems and hardware configurations on the same network.The software should have the capability toshall monitor workstation keyboard, mouse, CPU and disk activity in determining workstation idleness.AlgorithmsThere are no algorithms for this measure. Definition of TermsThere are no definitions of terms. Deemed SavingsThe energy savings per unit found in various studies specific to the Verdiem Surveyor software varied from 33.8 kWh/year to 330 kWh/year, with an average savings of about 200 kWh/year. This includes the power savings from the PC as well as the monitor. Deemed savings are based on a research study conducted by Regional Technical Forum which involves actual field measurements of the Verdiem Surveyor product. The study reports deemed energy and demand savings for three different building types (schools, large offices and small offices) in combination with different HVAC systems types (electric heat, gas heat, and heat pumps). The deemed savings values in REF _Ref395535864 \h Table 3149 also take into account the HVAC interactive effects. A simple average is reported for Pennsylvania. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 149: Network Power Controls, Per Unit Summary TableMeasure NameUnitGross Peak kW Reduction per UnitGross kWh Reduction per UnitEffective Useful LifeNetwork PC Plug Load Power Management SoftwareOne copy of licensed software installed on a PC workstation0.006251355Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesRegional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. AlgorithmsThe general form of the equation for the Network Power Management measure savings algorithms is:Number of Workstations ×Savings per WorkstationTo determine resource savings, the per unit estimate in the algorithms will be multiplied by the number of units. Per unit savings are primarily derived from the ENERGY STAR calculator for office workComputer Power Management: Workstation with Desktop Computer and Monitor, v3.0. ?kWh=ESAVdesktop?kWpeak=DSAVdesktopNetworkOffice Plug Load Field Monitoring Report, Laura Moorefield et al, Ecos Consulting, Dec, 2008.PSE PC Power Management: Workstation with Laptop Results, Cadmus Group, Feb, 2011.Non-Residential Network Computer and Monitor Power Management, Avista, Feb, 2011.?kWh=ESAVlaptop?kWpeak=DSAVlaptopDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 166: Terms, Values, and References for ENERGY STAR After-hours Power Status of Office EquipmentTermUnitValuesSourceESAVdesk, Electricity savings per purchased ENERGY STAR desktop computerkWhSee REF _Ref395535864 \h Table 31672ESAVlaptop, Electricity savings per purchased ENERGY STAR laptop computerkWhSee REF _Ref395535864 \h Table 31672DSAVdesktop, Summer demand savings per purchased ENERGY STAR desktop computerkWSee REF _Ref395535864 \h Table 31673DSAVlaptop, Summer demand savings per purchased ENERGY STAR laptop computerkWSee REF _Ref395535864 \h Table 31673Default SavingsThe energy savings per unit includes the power savings from the PC as well as the monitor. Default savings are based on the Low Carbon IT Savings Calculator sourced from the ENERGY STAR website and assumes the absence of an enabled network power management as the baseline condition. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 167: Network Power Controls, Per Unit Summary TableMeasure UnitEnergy Savings (ESAV)Peak Demand Savings (DSAV)Network PC Plug Load Power Management SoftwareWorkstation – Desktop Computer with Monitor3920.0527Network PC Plug Load Power Management SoftwareWorkstation – Laptop Computer with Monitor12370.03191Savings assume workstation includes desktop monitor, laptop computer with laptop screen in use. Please refer to ENERGY STAR Low Carbon IT Savings Calculator for different workstation configurations.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation proceduresInventory of Miscellaneous Plug-Load Equipment, LBNL, Jan 2004. SourcesEcos Commercial Field Research Report, 2008.Dimetrosky, S., Steiner, J., & Vellinga, N. (2006). San Diego Gas & Electric 2004-2005 Local Energy Savers Program Evaluation Report (Study ID: SDG0212). Portland, OR: Quantec LLC. HYPERLINK "" , D. (2004). Network Power Management Software: Saving Energy by Remote Control (E source report No. ER-04-15). Boulder, CO: Platts Research & Consulting.Roth, K., Larocque, G., & Kleinman, J. (2004). Energy Consumption by Office and Telecommunications Equipment in Commercial Buildings Volume II: Energy Savings Potential (U.S. DOE contract No. DE-AM26-99FT40465). Cambridge, MA: TIAX LLC. HYPERLINK "" Strip Plug OutletsIllinois Statewide Technical Reference Manual v7.0, HYPERLINK "" . The reference uses 10 years, however, given the rapid changes in the technology industry, there is quite a lot of uncertainty about the measure life and a more conservative value was used (i.e. half the published measure life): Table VI.1: Measure NameSmart Strip Plug OutletsDimetrosky, S., Luedtke, J. S., & Seiden, K. (2005). Surveyor Network Energy Manager: Market Progress Evaluation Report, No. 2 (Northwest Energy Efficiency Alliance report #E05-136). Portland, OR: Quantec, LLC). ENERGYSTAR calculator: Low Carbon IT Savings Calculator: HYPERLINK "" Using a commercial office equipment load shape, the percentage of total savings that occur during the PJM peak demand period was calculated and multiplied by the energy savings.Advanced Power StripsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer Advanced Power StripMeasure Life5?years Source 1Measure UnitSmart Strip Plug OutletUnit Energy SavingsFixedUnit Peak Demand ReductionFixedMeasure Life5 yearsMeasure VintageRetrofit?Plug and process loads (PPLs) are building electrical loads that are not related to lighting, heating, ventilation, cooling, and water heating, and typically do not provide comfort to the occupants. PPLs in commercial buildings account for almost 33% of U.S. commercial building electricity use. Minimizing PPLs is a critical part of the design and operation of an energy-efficient building. Advanced PowerSmart Strips (APS) are surge protectorspower strips that contain a number of controlled sockets with at least one uncontrolled socket. When the appliance that is plugged into the uncontrolled socket is turned off, the power-saver sockets. There are two types of APS: Tier 1 and Tier 2. Tier 1 APS have a master control socket arrangement and will shut strips then shuts off the items plugged into the controlled power-saver sockets when they sense that the appliance plugged into the master socket has been turned off. Conversely, the appliance plugged into the master control socket has to be turned on and left on for the devices plugged into the power-saver sockets to function.Tier 2 APS deliver additional functionality beyond that of a Tier 1 unit, as Tier 2 units manage both standby and active power consumption. The Tier 2 APS manage standby power consumption by turning off devices from a control event. Active power consumptionsockets. Qualified power strips must automatically turn off when equipment is managed by the Tier 2 unit by monitoring a user’s engagement or presence in the workstation area by either localized motion detection or the use of installed software to monitor keyboard strokes and mouse movement. If after a period of user absence or inactivity, the Tier 2?unit will shut off all items plugged into the controlled outlets, thus saving energy. unused / unoccupied.EligibilityEligibility?This protocol documents the energy savings attributed to the installation of APS. The protocol considers usage of APS with office workstations.smart strip plugs. The most likely area of application is within commercial spaces such as isolated workstations and computer systems with standalone printers, scanners or other major peripherals that are not dependent on an uninterrupted network connection (e.g. routers and modems). AlgorithmsAlgorithms?The annual energy savings are calculated for office workstations for both Tier 1 strips and Tier 2 strips. If the presence of power management either at the local-level or network-level is not known, the average energy reduction percentage shall be used. ?Tier 1 Advanced Power Strip:?ΔkWh= Annual_Usageworkstation×ERPt1_workstationTier 2?Advanced Power Strip:?ΔkWh= Annual_Usageworkstation×ERPt2_OS_workstationDefinition of Terms?Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 168: Terms, Values, and References for Smart Strip Plug OutletsTerm?UnitValueSourceAnnual_Usageworkstation, Annual consumption of workstationkWh543 kWh2%ERP, Energy Reduction Percent%Default: REF _Ref529976133 \h \* MERGEFORMAT Table 31692, 3?Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 169: Impact Factors for APS Strip TypesStrip TypeEnd-UseERPTier 1Workstation24.7%Tier 1Workstation with power management (network or local)4.0%Tier 1Workstation with unknown power management14.3%Tier 2 Workstation30.0%Tier 2 Workstation with power management (network or local)4.0%Tier 2 Workstation with unknown power management17.0%Default Savings?The default savings calculated based on the parameters identified above are provided in? REF _Ref530146923 \h \* MERGEFORMAT Table 3170.?Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 170: Default Savings for?APS?Strip TypesStrip TypeUseEnergy Savings (kWh)Tier 1Workstation134Tier 1Workstation with power management (network or local)22Tier 1Workstation with unknown power management 78Tier 2 Workstation163Tier 2 Workstation with power management (network or local)22Tier 2 Workstation with unknown power management92?Evaluation Protocols?The most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.?Sources?California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. NREL/TP-5500-51708, “Selecting a Control Strategy for Plug and Process Loads”, September 2012, HYPERLINK "" , B., Duarte, C., and Wymelenberg, K., “Office Space Plug Load Profiles and Energy Savings Interventions”. University of Idaho. 2012. HYPERLINK "" ENERGY STAR Servers Target SectorCommercial and Industrial EstablishmentsMeasure UnitVariableMeasure Life4 years Source 1Measure VintageReplace on BurnoutAccording to , data centers consume approximately 2% of the electricity in the United States. Servers and mainframes in these data centers provide the email service, information storage, and other information technology services to the businesses that run them. A large proportion (40%) of servers and mainframes are located not in large data centers, but in closets within individual businesses. ENERGY STAR certified servers and mainframes can cut energy usage by 30% on average, and each watt saved at the server or mainframe level can translate to 1.9 watts saved when interactive effects are included.EligibilityThis measure applies to the replacement of existing servers in a data center or server closet with new ENERGY STAR servers of similar computing capacity. On average, ENERGY STAR servers are 30% more efficient than standard servers. To qualify for this measure, the installed equipment must be a server system or mainframe that has earned the ENERGY STAR label.Source 2 AlgorithmsAnnual energy savings and peak demand savings can be calculated using the algorithms shown below. The demand reduction associated with this measure The DSMore Michigan Database of Energy Efficiency Measures performed engineering calculations using standard standby equipment wattages for typical computer and TV systems and idle times. This commercial protocol will use the computer system assumptions except it will utilize a lower idle time for commercial office use. The computer system usage is assumed to be constant since the servers operate 2410 hours per day, 365 for 5 workdays per week. The average daily idle time including the weekend (2 days per year.of 100% idle) is calculated as follows:Average daily commercial computer system idle time= Hours per week- workdays×daily computer usagedays per week16.86 hours=168 hours-( 5 days×10 hours)7 daysThe energy savings and demand reduction were obtained through the following calculations:?kWh=kWcomp×Hrcomp×365=123.69kWh (rounded to 124kWh)?kWpeak=CF×kWcomp=0.0101kWDefinition of TermskWes=ES=1nkWes,idle+Ues×(kWes,idleb-kWes,idle)ΔkWh=1(1-a)-1×kWes ×8,760 hoursyear?kWpeak=1(1-a)-1×kWesDefinition of TermsThe parameters in the above equation are listed below.Table 3171150: Terms, Values, and References for ENERGY STAR Servers: Smart Strip Calculation AssumptionsTermUnitValuesSourcekWcomp , Idle kW of computer systemkW0.02011Hrcomp , Daily hours of computer idle timeHoursDay16.861CF, Coincidence FactorDecimal0.501Deemed Savings?kWh=124 kWh?kWpeak=0.0101 kWEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesDSMore Michigan Database of Energy Efficiency Measures. HYPERLINK "" AirCycling Refrigerated Thermal Mass DryerkWes, Active power draw of ENERGY STAR server kWEDC Data GatheringCalculated valueEDC Data GatheringCalculated valuekWes,idle, Power draw of ENERGY STAR server in idle modekWEDC Data Gathering3Ues, Utilization of ENERGY STAR serverNoneEDC Data GatheringDefault: REF _Ref392666317 \h \* MERGEFORMAT Table 3172EDC Data Gathering4, 5, 6a, Percentage ENERGY STAR server is more efficient than “standard” or “typical” unitNoneFixed = 30% or most current ENERGY STAR specification7b, Ratio of idle power to full load power for an ENERGY STAR server NoneEDC Data GatheringDefault: REF _Ref395168432 \h \* MERGEFORMAT Table 3173EDC Data Gathering8n, Number of ENERGY STAR serversServersEDC Data GatheringEDC Data GatheringTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 172: ENERGY STAR Server Utilization Default AssumptionsServer CategoryInstalled ProcessorsUes (%)A, B115%C, D240%Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 173: ENERGY STAR Server Ratio of Idle Power to Full Load Power FactorsServer CategoryInstalled ProcessorsManaged ServerRatio of ES Idle/ES Full Load (b)A1No52.1%B1Yes53.2%C2No61.3%D2Yes55.8%Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsWhen possible, perform M&V to assess the energy consumption. However, where metering of IT equipment in a data center is not allowed, follow the steps outlined. Invoices should be checked to confirm the number and type of ENERGY STAR servers purchased. If using their own estimate of active power draw, kWes, the manager should provide a week’s worth of active power draw data gathered from the uninterruptible power supply, PDUs, in-rack smart power strips, or the server itself. Idle power draws of servers, kWes,idle, should be confirmed in the “Idle Power Typical or Single Configuration (W)” on the ENERGY STAR qualified product list.Source 3If not using the default values listed in REF _Ref392666317 \h Table 3172, utilization rates should be confirmed by examining the data center’s server performance software.SourcesThe three International Data Corporation (IDC) studies indicate organizations replace their servers once every three to five years.IDC (February 2012). “The Cost of Retaining Aging IT Infrastructure.” Sponsored by HP. Online. HYPERLINK "" IDC (2010). “Strategies for Server Refresh.” Sponsored by Dell. Online. HYPERLINK "" DC (August 2012). “Analyst Connection: Server Refresh Cycles: The Costs of Extending Life Cycles.” Sponsored by HP/Intel. Online. HYPERLINK "" STAR Program Requirements for Enterprise Servers Version 2.0 Specifications. HYPERLINK "" An ENERGY STAR qualified server has an “Idle Power Typical or Single Configuration (W)” listed in the qualified product list for servers. The EDC should use the server make and model number to obtain the kWes,idle variable used in the algorithms. The ENERGY STAR qualified server list is located at here: HYPERLINK "" .Utilization of a server can be derived from a data center’s server performance software. This data should be used, instead of the default values listed in REF _Ref395168432 \h \* MERGEFORMAT Table 3173, when possible.The estimated utilization of the ENERGY STAR server for servers with one processor was based on the average of two sources, as follows.Glanz, James. Power Pollution and The Internet, The New York Times, September 22, 2012. This article cited to sources of average utilization rates between 6 to 12%.Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with 1 processor is approximately 20%.The estimated utilization of the ENERGY STAR server for servers with two processors was based on the average of two sources, as follows.Using Virtualization to Improve Data Center Efficiency, Green Grid White Paper, Editor: Richard Talaber, VMWare, 2009. A target of 50% server utilization is recommended when setting up a virtual host. Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with two processors is approximately 30%.The default percentage savings on the ENERGY STAR server website was reported to be 30% on May 20th, 2014. In December 2013, ENERGY STAR stopped including full load power data as a field in the ENERGY STAR certified product list. In order to full load power required in the Uniform Methods Project algorithm for energy efficient servers, a ratio of idle power to full load power was estimated. The idle to full load power ratios were estimated based on the ENERGY STAR qualified product list from November 18th, 2013. The ratios listed in REF _Ref395168432 \h \* MERGEFORMAT Table 3173 are based on the average idle to full load ratios for all ENERGY STAR qualified servers in each server category.Server VirtualizationTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer serverMeasure Life4 years Source 1Measure VintageReplace on BurnoutAccording to , data centers consume approximately 2% of the electricity in the United States. Servers in these data centers provide the email service, information storage, and other information technology services to the businesses that run them. Most servers are installed for one specific function, for example email. This leads to up to 90% of servers in the US running at 5-10% utilization. Server virtualization allows companies to consolidate excess servers performing multiple tasks into a single physical server, saving the associated energy of the servers removed. EligibilityTo qualify for this rebate, servers must be consolidated to increase utilization of the remaining servers, and the virtualized servers must be either a) removed or b) physically disconnected from power.AlgorithmsAnnual energy savings and peak demand savings can be calculated using the algorithms shown below. The demand reduction associated with this measure is assumed to be constant since the servers operate 24 hours per day, 365 days per year.?kWh= kWbase-kWee×8,760 hoursyear?kWpeak=kWbase-kWeekWee=1mUvh×kWvh,idleb-kWvh,idle+kWvh,idle kWbase =1nUsa×kWsa,idleb-kWsa,idle+kWsa,idle Definition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 174: Terms, Values, and References for Server VirtualizationTermUnitValuesSourcesa, Single application servers, number 1 to nServersEDC Data GatheringEDC Data GatheringkWsa,idle, Power draw of virtualized server in idle modekWEDC Data Gathering2Usa, Average annual utilization of single application server, number 1 to nNoneEDC Data GatheringDefault: REF _Ref476136931 \h Table 3175EDC Data Gathering3, 4, 5vh, Virtual host server (virtualized + remaining), number 1 to mServersEDC Data Gathering (max = 4 for type A, B, max = 1 for type C, D)EDC Data GatheringUvh, Average annual virtual host server utilization NoneEDC Data GatheringDefault: m * utilization in REF _Ref476136931 \h Table 3175EDC Data Gathering3, 4, 5kWvh,idle, Power draw of virtualized server in idle modekWEDC Data Gathering2b, Ratio of idle power to full load power for server NoneEDC Data GatheringDefault: REF _Ref476137012 \h \* MERGEFORMAT Table 3176EDC Data Gathering6Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 175: Server Utilization Default AssumptionsServer CategoryInstalled ProcessorsU (%)A, B115%C, D240%As noted, these Utilization numbers are likely higher than standard server utilizations; however, the post-virtualization server utilization will likely be higher. Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 176: ENERGY STAR Server Ratio of Idle Power to Full Load Power FactorsServer CategoryInstalled ProcessorsManaged ServerRatio of ES Idle/ES Full Load (b)A1No52.1%B1Yes53.2%C2No61.3%D2Yes55.8%Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsWhen possible, perform M&V to assess the energy consumption. However, where metering of IT equipment in a data center is not allowed, follow the steps outlined. Invoices should be checked to confirm the number and type of servers virtualized. If not using the default values listed in REF _Ref476136931 \h Table 3175, utilization rates should be confirmed by examining the data center’s server performance software.SourcesThe three International Data Corporation (IDC) studies indicate organizations replace their servers once every three to five yearsIDC (February 2012). “The Cost of Retaining Aging IT Infrastructure.” Sponsored by HP. Online. HYPERLINK "" IDC (2010). “Strategies for Server Refresh.” Sponsored by Dell. Online. HYPERLINK "" DC (August 2012). “Analyst Connection: Server Refresh Cycles: The Costs of Extending Life Cycles.” Sponsored by HP/Intel. Online. HYPERLINK "" ENERGY STAR qualified server has an “Idle Power Typical or Single Configuration (W)” listed in the qualified product list for servers. The EDC should use the server make and model number to obtain the kWes,idle variable used in the algorithms. The ENERGY STAR qualified server list is located at here: HYPERLINK "" of a server can be derived from a data center’s server performance software. This data should be used, instead of the default values listed in REF _Ref476136931 \h \* MERGEFORMAT Table 3175, when possible.The estimated utilization of the ENERGY STAR server for servers with one processor was based on the average of two sources, as follows.Glanz, James. Power Pollution and The Internet, The New York Times, September 22, 2012. This article cited to sources of average utilization rates between 6 to 12%.Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with 1 processor is approximately 20%.The estimated utilization of the ENERGY STAR server for servers with two processors was based on the average of two sources, as follows.Using Virtualization to Improve Data Center Efficiency, Green Grid White Paper, Editor: Richard Talaber, VMWare, 2009. A target of 50% server utilization is recommended when setting up a virtual host. Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with two processors is approximately 30%.In December 2013, ENERGY STAR stopped including full load power data as a field in the ENERGY STAR certified product list. In order to full load power required in the Uniform Methods Project algorithm for energy efficient servers, a ratio of idle power to full load power was estimated. The idle to full load power ratios were estimated based on the ENERGY STAR qualified product list from November 18th, 2013. The ratios listed in REF _Ref476137012 \h \* MERGEFORMAT Table 3176 are based on the average idle to full load ratios for all ENERGY STAR qualified servers in each server pressed AirCycling Refrigerated Thermal Mass DryerMeasure NameCycling Refrigerated Thermal Mass DryerTarget SectorCommercial and Industrial EstablishmentsMeasure UnitCycling Refrigerated Thermal Mass DryerUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 years Source 1Measure VintageEarly ReplacementWhen air is compressed, water vapor in the air condenses and collects in liquid form. Some of this condensate collects in the air distribution system and can contaminate downstream components such as air tools with rust, oil, and pipe debris. Refrigerated air dryers remove the water vapor by cooling the air to its dew point and separating the condensate. Changes in production and seasonal variations in ambient air temperature lead to partial loading conditions on the dryer. Standard refrigerated thermal mass air dryers use a hot gas bypass system that is inefficient at partial loads. A Cycling Refrigerated Thermal Mass Dryer uses a thermal storage medium to store cooling capacity when the system is operated at partial loads allowing the dryer refrigerant compressor to cycle.EligibilityThis measure is targeted to non-residential customers whose equipment is a non-cycling refrigerated air dryer with a capacity of 600 cfm or below.Acceptable baseline conditions are a non-cycling (e.g.,. continuous) air dryer with a capacity of 600 cfm or below. The replacement of desiccant, deliquescent, heat-of-compression, membrane, or other types of dryers does not qualify under this measure.Efficient conditions are a cycling thermal mass dryer with a capacity of 600 cfm or below.AlgorithmskWh= ((CFM ×HPcompressor × kWdryerCFM× × kWdryerCFMcomp.×HOURS × (1-APC)) ×RTD)?kWpeak= ?kWh HOURS*CFDefinition of TermsDefinition of TermsTable 3177151: Terms, Values, and References for: Cycling Refrigerated Thermal Mass DryersDryer – Values and ReferencesTermUnitValuesSourceCFM, Compressor output per HPCFMHPEDC Data GatheringDefault: 4EDC Data Gathering2HPcompressor, Nominal HP rating of the air compressor motorHPNameplate dataEDC Data GatheringkWdryerCFM, Ratio of dryer kW to compressor CFMkWCFMEDC Data GatheringDefault: 0.0087EDC Data Gathering3RTD, Chilled coil response time derateHoursEDC Data GatheringDefault: 0.925EDC Data Gathering3APC, Average compressor operating capacityNoneEDC Data GatheringDefault: 65%EDC Data Gathering4HOURS, Annual hours of compressor operationHoursyearEDC Data GatheringDefault: REF _Ref395597924 \h \* MERGEFORMAT Table 3178EDC Data Gathering5CF, Coincidence factorDecimalEDC Data GatheringDefault: REF _Ref395597924 \h \* MERGEFORMAT Table 3178EDC Data Gathering5CFM , Compressor output per HPCFMHPEDC Data GatheringDefault: 4EDC Data Gathering1HPcompressor , Nominal HP rating of the air compressor motorHPNameplate dataEDC Data GatheringkWdryer/CFMcomp, Ratio of dryer kW to compressor CFMkWCFMEDC Data GatheringDefault: 0.0087EDC Data Gathering2RTD , Chilled coil response time derateHoursEDC Data GatheringDefault: 0.925EDC Data Gathering2APC , Average compressor operating capacityNoneEDC Data GatheringDefault: 65%EDC Data Gathering3HOURS , Annual hours of compressor operationHoursyearEDC Data GatheringDefault: See REF _Ref395597924 \h \* MERGEFORMAT Table 3152EDC Data Gathering4CF, Coincidence FactorDecimalEDC Data GatheringDefault: See REF _Ref392664110 \h \* MERGEFORMAT Table 3153EDC Data Gathering5Table 3178152: DefaultAnnual Hours of Compressor OperationOperation Facility Schedule (hours per day / days per week)HOURSSingle Shift (8/5)20802-Shift (16/5)41603-Shift (24/5)62404-Shift (24/7)8320Table STYLEREF 1 \s 3and SEQ Table \* ARABIC \s 1 153: Coincidence Factors by Shift TypeShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Coincidence Factor%Single Shift (8/5)66.72-Shift (16/5)1003-Shift (24/5)1004-Shift (24/7)100Default SavingsDefault savings per compressor motor HP for four shift types are shown below.may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 179: Default Savings per HP for Cycling Refrigerated Thermal Mass DryersShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5)22.30.0032-shift (16/5)44.50.0113-shift (24/5)66.80.0114-shift (24/7)93.70.011Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesMeasure Life Study prepared for the Massachusetts Joint Utilities. Energy and Resource Solutions, 2005. HYPERLINK "" . Accessed on June 2018.Manufacturer’s data suggests that CFMcfm output per compressor HP ranges from 4 to 5. The lower estimate of 4 will slightly underestimate savings.Conversion factor based on a linear regression analysis of the relationship between air compressor full load capacity and non-cycling dryer full load kW assuming that the dryer is sized to accommodate the maximum compressor capacity. Efficiency Vermont, Technical Reference Manual 2014-87. “Compressed Air Analysis.xls” for source calculations, Efficiency Vermont, Technical Reference Manual 2013-82. HYPERLINK "" Based on an analysis of load profiles from 50 facilities using air compressors 40 HP and below. See “BHP Weighted Compressed Air Load Profiles.xls” for source calculations, Efficiency Vermont, Technical Reference User Manual (TRM), March 16, 2015. . HYPERLINK "" Hours account for holidays and scheduled downtime. Efficiency Vermont, Technical Reference Manual 2013-82. HYPERLINK "" Efficiency Vermont, Technical Reference Manual 2013-82. Compressed Air Loadshape calcs (compressed_air_loadshape_calc_1-4_shifts.xls). The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. HYPERLINK "" Air-Entraining Air NozzleMeasure NameAir-entraining Air NozzleTarget SectorCommercial and Industrial EstablishmentsMeasure UnitAir-entraining Air NozzleUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageEarly ReplacementAir entraining air nozzles use compressed air to entrain and amplify atmospheric air into a stream, increasing pressure with minimal compressed air use. This decreases the compressor work necessary to provide the nozzles with compressed air. Air entraining nozzles can also reduce noise in systems with air at pressures greater than 30 psig.EligibilityThis measure is targeted to non-residential customers whose compressed air equipment uses stationary air nozzles in a production application with an open copper tube of 1/8” or 1/4” orifice diameter.Energy efficient conditions require replacement of an inefficient, non-air entraining air nozzle with an energy efficient air-entraining air nozzle that use less than 15 CFM at 100 psi for industrial applications.AlgorithmskWh=CFMbase- CFMee×COMP ×HOURS ×% USE?kWpeak=?kWh HOURS*CFDefinition of TermsTable 3180154: Terms,: Air-entraining Air Nozzle – Values, and References for Air-entraining Air NozzlesTermUnitValuesSourceCFMbase, Baseline nozzle air mass flowCFM ft3minEDC Data GatheringDefault: See REF _Ref392664684 \h \* MERGEFORMAT Table 318115521CFMee, Energy efficient nozzle air mass flowCFM ft3minEDC Data GatheringDefault: See REF _Ref392664778 \h \* MERGEFORMAT Table 318215632COMP , Ratio of compressor kW to CFMkWCFMEDC Data GatheringDefault: See REF _Ref392664786 \h \* MERGEFORMAT Table 318315743HOURS , Annual hours of compressor operationHoursyearEDC Data GatheringDefault: See REF _Ref392664790 \h \* MERGEFORMAT Table 318415864% USE , Percent of hours when nozzle is in useNoneEDC Data GatheringDefault: 5%5CFCF, Coincidence FactorDecimalEDC Data GatheringDefault: REF _Ref392664790 \h \* MERGEFORMAT Table 3184See REF _Ref392664659 \h \* MERGEFORMAT Table 31596Table 3181155: Baseline Nozzle Mass FlowNozzle DiameterAir Mass Flow (CFM) @ 80 psi1/8”211/4"58Table 3182156: Air Entraining Nozzle Mass FlowNozzle DiameterAir Mass Flow (CFM) @ 80 psi1/8”61/4"11Table 3183157: Average Compressor kW / CFM (COMP)Compressor Control TypeAverage Compressor kW/CFM (COMP)Modulating w/ Blowdown0.32Load/No Load w/ 1 gal/CFM Storage0.32Load/No Load w/ 3 gal/CFM Storage0.30Load/No Load w/ 5 gal/CFM Storage0.28Variable Speed w/ Unloading0.23Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 158: Annual Hours of Compressor OperationUnknownFacility Schedule(hours per day / days per week)0.27HOURSSingle Shift (8/5)20802-Shift (16/5)41603-Shift (24/5)62404-Shift (24/7)8320Table 3184159: Default Hours and: Coincidence Factors by Shift TypeFactorShift TypeCoincidence FactorHours Per YearDecimalCFDescriptionSingle Shift (8/5)1,9760.24*6677 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shiftShift (16/5)3,9521.000.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shiftShift (24/5)5,9281.000.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shiftShift (24/7)8,3201.000.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesPA Consulting Group (2009). Business Programs: Measure Life Study. Prepared for State of Wisconsin Public Service Commission. HYPERLINK "" 'sMachinery’s Handbook, 25th Ed. Ed by Erik Oberg (Et Al). Industrial Press, Inc. ISBN-10: 0831125756 Edition.Survey of Engineered Nozzle Suppliers.Survey of Engineered Nozzle Suppliers.Efficiency Vermont, Technical Reference User Manual (TRM), March 16, 20152013-82. The average compressor kW/CFM values were calculated using DOE part load curves and load profile data from 50 facilities employing compressors less than or equal to 40 hp. HYPERLINK "" Vermont, Technical Reference Manual 2013-82. Accounts for holidays and scheduled downtime. HYPERLINK "" 50% handheld air guns and 50% stationary air nozzles. Manual air guns tend to be used less than stationary air nozzles, and a conservative estimate of 1 second of blow-off per minute of compressor run time is assumed. Stationary air nozzles are commonly more wasteful as they are often mounted on machine tools and can be manually operated resulting in the possibility of a long term open blow situation. An assumption of 5 seconds of blow-off per minute of compressor run time is used.Hours account for holidays and scheduled downtime.Efficiency Vermont, Technical Reference Manual 2013-82. Compressed Air Loadshape calcs (compressed_air_loadshape_calc_1-4_shifts.xls). The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. HYPERLINK "" Condensate DrainsMeasure NameNo-loss Condensate DrainsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitNo-loss Condensate DrainDrainsUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life5 years Source 1Measure VintageEarly ReplacementWhen air is compressed, water vapor in the air condenses and collects in the system. The water must be drained to prevent corrosion to the storage tank and piping system, and to prevent interference with other components of the compressed air system such as air dryers and filters. Many drains are controlled by a timer and are opened for a fixed amount of time on regular intervals regardless of the amount of condensate. When the drains are opened compressed air is allowed to escape without doing any purposeful work. No-loss Condensate Drains are controlled by a sensor that monitors the level of condensate and only open when there is a need to drain condensate. They close before compressed air is allowed to escape.EligibilityThis measure is targeted to non-residential customers whose equipment is a timed drain that operates on a pre-set schedule.Acceptable baseline conditions are compressed air systems with standard condensate drains operated by a solenoid and timer.Energy efficient conditions are systems retrofitted with new No-loss Condensate Drains properly sized for the compressed air system.AlgorithmsThe following algorithms apply for No-loss Condensate Drains.kWh= ALR ×COMP ×OPEN ×AF ×PNC?kWpeak=?kWh HOURS*CFDefinition of TermsTable 3185160: Terms, Values, and References for: No-loss Condensate Drains – Values and ReferencesTermUnitValuesSourceALR, Air Loss Rate; an hourly average rate for the timed drain dependent on drain orifice diameter and system pressure. CFM ft3minEDC Data GatheringDefault: See REF _Ref392664904 \h \* MERGEFORMAT Table 3186161EDC Data Gathering21COMP, Compressor kW / CFM; the amount of electrical demand in KW required to generate one cubic foot of air at 100 PSI.kWCFMEDC Data Gathering Default See: REF _Ref395535250 \h \* MERGEFORMAT Table 3187162EDC Data Gathering32OPEN, Hours per year drain is openHoursyearEDC Data GatheringDefault: 146EDC Data Gathering43AF, Adjustment Factor; accounts for periods when compressor is not running and the system depressurizes due to leaks and operation of time drains.NoneEDC Data GatheringDefault: See REF _Ref392664930 \h \* MERGEFORMAT Table 3188163EDC Data Gathering54PNC, Percent Not Condensate; accounts for air loss through the drain after the condensate has been cleared and the drain remains open. NoneEDC Data GatheringDefault: 0.75EDC Data Gathering54HOURS, Annual hours of compressor operationHoursyearEDC Data GatheringDefault: See REF _Ref392664939 \h \* MERGEFORMAT Table 3189164EDC Data Gathering65CF, Coincidence factorFactorDecimalEDC Data GatheringDefault: REF _Ref392664939 \h \* MERGEFORMAT Table 3189 REF _Ref395535352 \h \* MERGEFORMAT Table 3165EDC Data Gathering6Table 3186161: Average Air Loss Rates (ALR)Pressure (psig)Orifice Diameter (inches)1/641/321/16 1/8 1/4 3/8700.291.164.6618.6274.4167.8800.321.265.2420.7683.1187.2900.361.465.7223.192206.6950.381.516.0224.1696.5216.81000.41.556.3125.22100.92271050.421.636.5826.31105.2236.71100.431.716.8527.39109.4246.41150.451.787.1228.48113.7256.11200.461.867.3929.56117.9265.81250.481.947.6630.65122.2275.5For well-rounded orifices, values should be multiplied by 0.97. For sharp orifices, values should be multiplied by 0.61. When the baseline value is unknown, use 100.9 CFM.Table 3187162: Average Compressor kW/CFM (COMP)Compressor Control TypeAverage Compressor kW/CFM (COMP)Modulating w/ Blowdown0.32Load/No Load w/ 1 gal/CFM Storage0.32Load/No Load w/ 3 gal/CFM Storage0.30Load/No Load w/ 5 gal/CFM Storage0.28Variable Speed w/ Unloading0.23Unknown0.27Table 3188163: Adjustment Factor (AF)Compressor Operating HoursAFSingle Shift (8/5)– 2080 Hours0.622-Shift (16/5)– 4160 Hours0.743-Shift (24/5)– 6240 Hours0.864-Shift (24/7)– 8320 Hours0.97Table 3189164: DefaultAnnual Hours and Coincidence Factors by Shift Typeof Compressor OperationShift TypeFacility Schedule(hours per day / days per week)Hours Per YearHOURSCFDescriptionSingle Shift (8/5)1,97620800.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shiftShift (16/5)3,95241600.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shiftShift (24/5)5,92862400.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shiftShift (24/7)8,32083200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 165: Coincidence FactorCoincidence FactorDecimalSingle Shift (8/5)0.6672-Shift (16/5)1.003-Shift (24/5)1.004-Shift (24/7)1.00Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEfficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. DOE Compressed Air Tip Sheet #3, August 2004, from Fundamentals for Compressed Air Systems Training offered by the Compressed Air Challenge. HYPERLINK "" average compressor kW/CFM values were calculated using DOE part load curves and load profile data from 50 facilities employing compressors less than or equal to 40 hp. Efficiency Vermont, Technical Reference Manual 2014-87. . HYPERLINK "" Assumes 10 seconds per 10- minute interval. Efficiency Vermont, Technical Reference User Manual (TRM), March 16, 2015. . HYPERLINK "" Based on observed data. Efficiency Vermont, Technical Reference User Manual (TRM), March 16, 2015. . HYPERLINK "" Accounts for holidays and scheduled downtime. Efficiency Vermont, Technical Reference Manual 2014-87.2013-82. HYPERLINK "" Efficiency Vermont, Technical Reference Manual 2013-82. Compressed Air Loadshape calcs (compressed_air_loadshape_calc_1-4_shifts.xls). The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. HYPERLINK "" Air Tanks for Load/No Load CompressorsMeasure NameAir Tanks for Load/No Load CompressorsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitReceiver Tank AdditionUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageEarly ReplacementThis measure protocol applies to the installation of air receivers with pressure/flow controls to load/no load compressors. Load/no load compressors unload when there is low demand. The process of unloading is done over a period of time to avoid foaming of the lubrication oil. Using a storage tank with pressure/flow control will buffer the air demands on the compressor. Reducing the number of cycles in turn reduces the number of transition times from load to no load and saves energy. The baseline equipment is a load/no load compressor with a 1 gal/cfm storage ratio or a modulating compressor with blowdown.EligibilityThis measure protocol applies to the installation of new air receivers with pressure/flow controls to load/no load compressors. The high efficiency equipment is a load/no load compressor with a minimum storage ratio of 4 gallons of storage per cfm.AlgorithmsΔkWhkWh=HP×0.746×HOURS×LF×LR?kWpeak=kWhHOURS×CFDefinition of TermsDefinition of TermsTable 13190166: Terms, Values, and References: Assumptions for Air Tanks for Load/No Load CompressorsTermUnitValuesSourceHP, Horsepower of compressor motorHPNameplateEDC Data Gathering0.746, Conversion factorkWHP0.746Conversion factorHOURS, Annual hours of compressor operationhrBased on logging, panel data or modelingDefault: REF _Ref532908577 \h \* MERGEFORMAT Table 3191EDC Data Gathering2LF, Load factor, average load on compressor motorFractionDefault = 0.923LR, Load reductionFractionDefault = 0.105, Efficiency of compressor motorFractionDefault = 0.914CF, Coincidence factorFractionBased on logging, panel data or site contact interviewDefault: REF _Ref532908577 \h \* MERGEFORMAT Table 3191EDC Data Gathering2HP, horsepower of compressor motorhpNameplateEDC Data Gathering0.746, conversion factorkWhp0.746Conversion factorHOURS, annual hours of compressor operationhrBased on logging, panel data or modelingEDC Data GatheringDefault: REF _Ref413761964 \h \* MERGEFORMAT Table 31671LF, load factor, average load on compressor motorFractionDefault = 0.922LR, load reductionFractionDefault = 0.053, 4, efficiency of compressor motorFractionDefault = 0.922CF, coincidence factorFractionBased on logging, panel data or site contact interviewEDC Data GatheringDefault SavingsTable 3191167: DefaultAnnual Hours and Coincidence Factors by Shift Typeof Compressor Operation, HOURSMotor Size (hp)HOURS1-51,2576-202,13121-503,52851-1004,520101-2004,685201-5006,148501-10006,1561000+7,485Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.US DepartmentDefault SavingsDefault savings per compressor motor HP for four shift types are shown below. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 192: Default Savings per HP for Air Tanks for Load/No Load CompressorsShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5)149.00.0182-shift (16/5)298.10.0723-shift (24/5)447.10.0724-shift (24/7)627.50.072Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesPA Consulting Group (2009). Business Programs: Measure Life Study. Prepared for State of Wisconsin Public Service Commission. HYPERLINK "" of Energy, Office of Energy Efficiency & Renewable Energy. United States Industrial Electric Motor Systems Market Opportunities Assessment. Dec 2002. Appendix B, air compressors. HYPERLINK "" for holidays and scheduled downtime. The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Load factor for air compressors and average motor efficiency. HYPERLINK "" efficiency for 1800 RPM ODP motors with 75% and 100% load factors. Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Load factor for air compressors and average motor efficiency. States Department of Energy, Advanced Manufacturing Office. of Energy Efficiency & Renewable Energy. Improving Compressed Air System Performance, a Sourcebook for Industry, Third Edition. March 2016.. November 2003. Compressed air storage. HYPERLINK "" Drive Air CompressorTarget SectorCommercial and Industrial EstablishmentsMeasure UnitCompressor MotorMeasure Life13 years Source 1Measure VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionVariable-Speed Drive (VSD) Air Compressors use a variable speed drive on the motor to match motor output to the load, resulting in greater efficiency than fixed-speed air compressors. Baseline compressors choke off inlet air to modulate the compressor output, resulting in increased energy consumption and peak demand.EligibilityTo qualify for this measure, a participating commercial or industrial establishment must install or retrofit a ≤ 40 HP compressor with variable speed control. Projects involving compressors larger than 40 HP should be treated as custom projects.AlgorithmsSavings are calculated using representative baseline and efficient demand numbers for compressor capacities according to the facility’s load shape and runtime. Demand curves are derived from DOE data for a variable speed compressor versus a modulating compressor. The following formulas are used to quantify the annual energy and coincident peak demand savings. ΔkWh= 0.9×HPcompressor×HOURS×CLFbase-CLFVSDΔkWpeak=ΔkWhHOURS*CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 193: Terms, Values, and References for Variable-Speed Drive Air CompressorsTermUnitValuesSourceHOURS, compressor total hours of operation below depending on shiftHours/yrEDC Data GatheringDefault: REF _Ref532900509 \h Table 31942HPcompressor, compressor motor nominal HPHPNameplateEDC Data GatheringCLFbase, baseline compressor factorNoneEDC Data GatheringDefault = 0.8903CLFVSD, efficient compressor factorNoneEDC Data GatheringDefault = 0.7053CF, Coincidence factorNoneDefault: REF _Ref532900509 \h Table 319420.9, Compressor motor nominal HP to full load kW conversion factor. kW/HPDefault = 0.94Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 194: Default Hours and Coincidence Factors by Shift TypeShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Default SavingsDefault savings per compressor motor HP for four shift types are shown below. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 195: Default Savings per HP for Variable-Speed Drive Air CompressorsShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5) 329.0 0.040 2-shift (16/5) 658.0 0.158 3-shift (24/5) 987.0 0.158 4-shift (24/7) 1,385.3 0.158 Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesIllinois Statewide Technical Reference Manual v7.0, Section 4.7.1, p. 542, HYPERLINK "" Accounts for holidays and scheduled downtime. The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont, Technical Reference Manual 2014-87. Compressor factors were developed using DOE part load data for different compressor control types as well as load profiles from 50 facilities employing air compressors less than or equal to 40 hp. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. HYPERLINK "" factor based on a linear regression analysis of the relationship between air compressor motor nominal horsepower and full load kW from power measurements of 72 compressors at 50 facilities. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Air ControllerTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer Compressed Air SystemMeasure Life15 years Source 1Measure VintageNew Construction or RetrofitEligibilityThe following protocol for the measurement of energy and demand savings applies to the installation of a compressed air pressure or flow controller for compressed air systems in commercial or industrial facilities. A pressure/flow controller can greatly increase the control of an air storage system. These units, also called demand valves, precision flow controllers, or pilot‐operated regulators, are precision pressure regulators that allow the airflow to fluctuate while maintaining a constant pressure to the facility’s air distribution piping network. Installing a pressure/flow controller on the downstream side of an air storage receiver creates a pressure differential entering and leaving the vessel. This pressure differential stores energy in the form of readily available compressed air, which can be used to supply the peak air demand for short duration events, in place of using more compressor horsepower to feed this peak demand. The benefits of having a pressure/flow controller include:Reducing the kilowatts of peak demand, especially with multiple compressor configurations.Saving kilowatt‐hours by allowing the compressor to run at most efficient loads, then turn itself off in low demand and no demand periods.Saving kilowatt‐hours by reducing plant air pressure to the minimum allowable. This leads to reduced loads on the electric motors and greater system efficiency. For every 2 psi reduced in the system, 1% of energy is saved.Maintaining a reduced, constant pressure in the facility wastes less air due to leakage, and less volume is required by the compressor.Ensuring quality control of the process by the constant pressure: machines can produce an enhanced product quality when the pressure is allowed to fluctuate.The baseline condition is having no existing pressure/flow controller and an existing compressed air system with a total compressor motor capacity ≥ 40 hp. This measure requires a minimum storage of 3gal/cfm. This protocol is not applicable for compressed air systems with total motor nameplate capacity < 40?hp. This measure is not replacing drop‐line regulators or filter‐regulator lubricators.AlgorithmskWh= HP×0.746ηmotor×LF ×HOURS×%Decrease?kWpeak= kWh/HOURS×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 196: Terms, Values, and References for Compressed Air ControllersTermUnitValuesSourceHP, total air compressor motor nameplate horsepowerHPNameplateEDC Data Gathering0.746, conversion factor from kW to HPkW/HPConstantConstantHOURS, average annual run hours of compressed air systemHoursYearBased on logging, panel data or modelingDefault: REF _Ref528223263 \h \* MERGEFORMAT Table 3197EDC Data Gathering1LF, load factor; ratio between the actual load on the compressor motor and the rated load%Based on spot metering and nameplateDefault: 0.92EDC Data Gathering2 ηmotor, compressor motor efficiency at the full-rated load%NameplateDefault: 0.91EDC Data Gathering3%Decrease, percentage decrease in power input%Default: 5%4CF, Coincidence factor DecimalEDC Data GatheringDefault: REF _Ref528223263 \h \* MERGEFORMAT Table 3197EDC Data Gathering1Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 197: Default Hours and Coincidence Factors by Shift TypeShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Default SavingsDefault savings per compressor motor HP for four shift types are shown below. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 198: Default Savings per HP for Compressed Air ControllersShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5)74.50.0092-shift (16/5)149.00.0363-shift (24/5)223.50.0364-shift (24/7)313.70.036Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesAccounts for holidays and scheduled downtime. The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Load factor for air compressors and average motor efficiency. efficiency for 1800 RPM ODP motors with 75% and 100% load factors. Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012 States Department of Energy. Improving, Office of Industrial Technologies. Compressed Air System Performance: A Sourcebook for Industry. p. 20. November pressed Air LowSystems Fact Sheet #4 - Pressure Drop FiltersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer Compressed Air SystemMeasure Life10 years Source 1Measure VintageNew Construction or RetrofitEligibilityThe following protocol for the measurement of energy and demand savings applies to the installation of low pressure drop air filters for compressed air systems in commercial and industrial facilities. Low pressure drop filters remove solids and aerosols from compressed air systems with a longer life and lower pressure drop than standard coalescing filters, resulting in better efficiencies.The baseline condition is a standard coalescing filter with a pressure drop of 3 psi when new and 5 psi or more at element change. The efficient condition is a low pressure drop filter with pressure drop not exceeding 1 psi when new and 3 psi at element change.AlgorithmskWh= HP×0.746×LF×DP×SF×HOURS?kWpeak= kWh/HOURS×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 199: Terms, Values, and References for Compressed Air Lowand Controlling System Pressure Drop FiltersTermUnitValuesSourceHP, total air compressor motor nameplate horsepowerHPNameplateEDC Data Gathering0.746, conversion factorkWHP0.746Conversion factorDP, reduced filter pressure loss psiDefault: 2.03LF, load factor; ratio between the actual load on the compressor motor and the rated load%Default: 0.924SF, savings factor %/psiDefault: 0.0055HOURS, compressed air system total annual hours of operationHoursYearDefault: REF _Ref532908675 \h \* MERGEFORMAT Table 32006Based on logging and panel dataEDC Data GatheringCF, Coincidence factor DecimalEDC Data GatheringEDC Data GatheringDefault: REF _Ref532908675 \h \* MERGEFORMAT Table 32006Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 200: Default Hours and Coincidence Factors by Shift TypeShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Default SavingsDefault savings per compressor motor HP for four shift types are shown below. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 201: Default Savings per HP for Compressed Air Low Pressure Drop FiltersShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5)14.70.0022-shift (16/5)29.50.0073-shift (24/5)44.20.0074-shift (24/7)62.10.007Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesBased on survey of manufacturer claims (Zeks, Van Air, Quincy), as recommended in Navigant ‘ComEd Effective Useful Life Research Report’, May 2018. Illinois Technical Reference Manual v.7.0 Volume 2. September 2018. Page 545.Illinois Statewide Technical Reference Manual v.7.0 Volume 2. September 2018. Page 546. HYPERLINK "" Assumed pressure will be reduced from a roughly 3 psi pressure drop through a filter to less than 1 psi, for a 2 psi savings.Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Load factor for air compressors and average motor efficiency. “Optimizing Pneumatic Systems for Extra Savings,” Compressed Air Best Practices, DOE Compressed Air Challenge, 2010. (1% reduction in power per 2 psi reduction in system pressure is equal to 0.5% reduction per 1 psi, or a savings factor of 0.005)Accounts for holidays and scheduled downtime. The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Compressed Air Mist EliminatorsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitPer Air Mist EliminatorMeasure Life5 years Source 1Measure VintageNew Construction or RetrofitEligibilityThe following protocol for the measurement of energy and demand savings applies to the installation of mist eliminator air filters for compressed air systems in commercial and industrial facilities. Large compressed air systems require air filtration for proper operation. These filters remove oil mist from the supply air of lubricated compressors, protecting the distribution system and end‐use devices. While these filters are important to the operation of the system, they do have a pressure drop across them, and thus require a slightly higher operating pressure. Typical coalescing oil filters will operate with a 2 psig to 10 psig pressure drop. Mist eliminator air filters operate at a 0.5 psig pressure drop that increases to 3 psig over time before replacement is recommended.This reduction in pressure drop allows the compressed air system to operate at a reduced pressure and, in turn, reduces the energy consumption of the system. In general, the energy consumption will decrease by 1% for every 2 psig the operating pressure is reduced. Lowering the operating pressure has the secondary benefit of decreasing the demand of all unregulated usage, such as leaks and open blowing. The equipment is mist eliminator air filters. The compressed air system must be greater than 50 HP to qualify, and the mist eliminator must have less than a 1 psig pressure drop and replace a coalescing filter.The baseline condition is a standard coalescing filter. The efficient condition is a mist eliminator air filter that replaces a standard coalescing filter. This protocol is not applicable for compressed air systems with total air compressor nameplate horsepower < 40 HP or mist eliminators with ≥ 1 psig pressure drop. AlgorithmskWh= HP×0.746ηmotor×LF×HOURS×%Savings%Savings= TotalPR×RS?kWpeak= kWh/HOURS×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 202: Terms, Values, and References for Compressed Air Mist EliminatorsTermUnitValuesSourceHP, Rated horsepower of the air compressor motorHPNameplateEDC Data Gathering0.746, conversion factor from horsepower to kWkW/HPConstantConstant ηmotor, compressor motor efficiency at the full-rated load%NameplateDefault: 0.91EDC Data Gathering2LF, load factor; ratio between the actual load on the compressor motor and the rated load%Based on spot metering and nameplateDefault: 0.92EDC Data Gathering3HOURS, average annual run hours of the compressed air systemHoursYearBased on logging, panel data or modelingDefault: REF _Ref532908718 \h \* MERGEFORMAT Table 3203EDC Data Gathering4%Savings, percentage of energy saved%Default: 2%5TotalPR, total pressure reduction from replacing filter psigDefault: 4 psig5RS, percentage of energy saved for each psig reduced %/psigDefault: 0.5%6CF, Coincidence factor DecimalEDC Data GatheringDefault: REF _Ref532908718 \h \* MERGEFORMAT Table 3203EDC Data Gathering4Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 203: Default Hours and Coincidence Factors by Shift TypeShift TypeHours Per YearCFDescriptionSingle Shift (8/5)1,9760.24*7 AM – 3 PM, weekdays, minus some holidays and scheduled downtime2-shift (16/5)3,9520.957 AM – 11 PM, weekdays, minus some holidays and scheduled downtime3-shift (24/5)5,9280.9524 hours per day, weekdays, minus some holidays and scheduled downtime4-shift (24/7)8,3200.9524 hours per day, 7 days a week minus some holidays and scheduled downtime* Note: This value is derived by adjusting the coincidence factor to account for assumed compressor operation (7 a.m. to 3 p.m.) during only one of the four hours of peak period (2 p.m. to 6 p.m.). 0.95 * (1/4) = 0.2375.Default SavingsDefault savings per compressor motor HP for four shift types are shown below. EDCs may also claim savings using customer specific data.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 204: Default Savings per HP for Compressed Air Mist EliminatorsShift TypeAnnual Energy Savings (ΔkWh/HP)Peak Demand Savings (ΔkWpeak/HP)Single Shift (8/5)29.80.0042-shift (16/5)59.60.0143-shift (24/5)89.40.0144-shift (24/7)125.50.014Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesBased on product warranty period Sullair Corporation. Compressed Air Filtration and Mist Eliminators Datasheet. HYPERLINK "" efficiency for 1800 RPM ODP motors with 75% and 100% load factors. Cascade Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Energy, Prepared for Regional Technical Forum. Standard Savings Estimation Protocol for Ultra-Premium Efficiency Motors. November 2012. Load factor for air compressors and average motor efficiency. HYPERLINK "" for holidays and scheduled downtime. The CF is drawn from the summer period, which is when the PA peak kW peak is calculated. Efficiency Vermont Technical Reference User Manual (TRM), March 16, 2015. Corporation. Compressed Air Filtration and Mist Eliminators Datasheet. HYPERLINK "" States Department of Energy. Improving Compressed Air System Performance: A Sourcebook for Industry. p. 20.. November 2003. HYPERLINK "" Efficiency TransformerENERGY STAR Servers Measure NameENERGY STAR ServersTarget SectorCommercial, and Industrial, and Agricultural EstablishmentsMeasure UnitTransformerVariableUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life154 years Source 1Measure VintageRetrofit, New ConstructionReplace on BurnoutEligibilityThis measure applies to the replacement of existing servers in a data center or server closet with new ENERGY STAR servers of similar computing capacity. Distribution transformers On average, ENERGY STAR servers are used in some multi-family, commercial and industrial applications to step down power from distribution voltage to be used in HVAC or process loads (208V or 480V) or to serve plug loads (120V).Distribution transformers that are 30% more efficient than the required minimum federal standard efficiency qualify for this measure. If there is no specific standard efficiency requirement, the transformer does not qualify (because the baseline cannot be defined). For example, although the federal standards increased the minimum required efficiency in 2016, most transformers with a NEMA premium or CEE Tier 2 rating will still achieve energy conservation. Standards are defined forservers. The servers operate particularly efficiently at low-voltage dry-type distribution transformers (up to 333kVA single-phase and 1000kVA 3-phase loads due to processor power management requirements that reduce power consumption when servers are idle.The baseline equipment is a transformer that meets the minimum federal efficiency requirement. Standards are developed by the DOE and published in Federal Register 10CFR 431. Transformers more efficient than the federal minimum standard are eligible. This includes CEE Tier II (single or three phase) and most NEMA premium efficiency rated products. Projects with liquid-immersed distribution transformers and medium voltage dry type transformer energy savings should be treated as custom projects.AlgorithmskWes=ES=1nkWes,idle+Ues×(kWes,idleb-kWes,idle)?kWhyr=1(1-a)-1×kWes ×8,760 hoursyear?kWpeak=1(1-a)-1×kWesDefinition of TermsΔkWh= Lossesbase - LosseseeLossesbase=PowerRating ×LF ×PF × 1EFFbase-1 ×8760Lossesee=PowerRating ×LF ×PF × 1EFFee-1 ×8760?kWpeak=ΔkWh/8760Definition of TermsTable 3205168: Terms, Values, and References for High Efficiency Transformers: ENERGY STAR Server Measure AssumptionsTermUnitValuesSourcePowerRating, kVA rating of the transformerkVAEDC Data GatheringEDC Data GatheringEFFbase, Baseline total efficiency rating of federal minimum standard transformerPercentDefault: REF _Ref528241140 \h \* MERGEFORMAT Table 32062EFFee, Installed total efficiency rating of the transformerPercentEDC Data GatheringEDC Data Gathering3LF, Load factor for the transformer PercentEDC Data GatheringDefault: 35%EDC Data Gathering3PF, Power factor for the load served by the transformerDecimalEDC Data GatheringEDC Data GatheringDefault: 1.04kWes,idle , Power draw of ENERGY STAR server in idle modekWEDC Data Gathering1Ues, utilization of ENERGY STAR serverNoneEDC Data GatheringDefault: See REF _Ref392666317 \h \* MERGEFORMAT Table 3169EDC Data Gathering2,3,4a, percentage ENERGY STAR server is more efficient than “standard” or “typical” unitNoneFixed = 30% or most current ENERGY STAR specification5b, ratio of idle power to full load power for an ENERGY STAR server NoneEDC Data GatheringDefault: See REF _Ref395168432 \h \* MERGEFORMAT Table 3170EDC Data Gathering6n, number of ENERGY STAR serversServersEDC Data GatheringEDC Data Gathering?kWpeak, peak demand savingskWCalculated per algorithm7Table 3206169: Baseline Efficiencies for Low-Voltage Dry-Type Distribution Transformers: ENERGY STAR Server Utilization Default AssumptionsSingle-phaseThree-phasekVAEfficiency (%)kVAEfficiency (%)1597.701597.892598.003098.2337.598.204598.405098.307598.607598.50112.598.7410098.6015098.8316798.7022598.9425098.8030099.0233398.9050099.14------75099.23------1,00099.28Default SavingsThere are no default savings for this measure.Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesUS DOE lists the lifetime at 32 years. The maximum measure life allowed by the PA TRM is 15 years. US Department of Energy, “Energy Conservation Program: Energy Conservation Standards for Distribution Transformers; Final Rule”, 10 CFR Part 431, Published April 18, 2013, Effective as of January 1, 2016.US Department of Energy, “Energy Conservation Program: Energy Conservation Standards for Distribution Transformers; Final Rule”, 10 CFR Part 431, Published April 18, 2013, Compliance effective as of January 1, 2016.Use the efficiency rating calculated by the appropriate DOE test method, generally at 35% load factor. Energy Conservation Program: Test Procedures for Distribution Transformers; Final Rule. Effective May 30, 2006.Unity power factor for used as default value, as used in the test procedures provided by US DOE. Energy Conservation Program: Test Procedures for Distribution Transformers; Final Rule. Effective May 30, 2006.Engine Block Heat TimerTarget SectorCommercial, Industrial, and Agricultural EstablishmentsMeasure UnitEngine Block Heater TimerMeasure Life15 years Source 1Measure VintageRetrofitEligibilityThis protocol documents the energy savings attributed to installation of engine block heater timers in commercial, industrial, and agricultural establishments. The baseline for this measure is an engine block heater in use without a timer.AlgorithmsEngine block heater timers save energy by reducing the time that engine block heaters operate. Typically, block heaters are plugged in throughout the night. Using timers allows the heater to come on at a preset time during the night, rather than being on throughout the night. Because this measure does not affect peak period usage, there are no peak demand savings associated with the measure.ΔkWh= P*Hours*Days*UFDefinition of TermsServer CategoryInstalled ProcessorsUes(%)A, B115%C, D240%Table 3 SEQ Table \* ARABIC \s 1 170: ENERGY STAR Server Ratio of Idle Power to Full Load Power FactorsServer CategoryInstalled ProcessorsManaged ServerRatio of ES Idle/ES Full Load (b)A1No52.1%B1Yes53.2%C2No61.3%D2Yes55.8%Default SavingsDefault savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data.Evaluation ProtocolsWhen possible, perform M&V to assess the energy consumption. However, where metering of IT equipment in a data center is not allowed, follow the steps outlined. Invoices should be checked to confirm the number and type of ENERGY STAR servers purchased. If using their own estimate of active power draw, kWenergy star, the manager should provide a week’s worth of active power draw data gathered from the uninterruptible power supply, PDUs, in-rack smart power strips, or the server itself. Idle power draws of servers, kWes,idle , should be confirmed in the “Idle Power Typical or Single Configuration (W)” on the ENERGY STAR qualified product list .If not using the default values listed in REF _Ref392666317 \h Table 3169, utilization rates should be confirmed by examining the data center’s server performance software.SourcesAn ENERGY STAR qualified server has an “Idle Power Typical or Single Configuration (W)” listed in the qualified product list for servers. The EDC should use the server make and model number to obtain the kWes,idle variable used in the algorithms. The ENERGY STAR qualified server list is located at here: HYPERLINK "" .Utilization of a server can be derived from a data center’s server performance software. SEQ Table \* ARABIC \s 1 207: Terms, Values, and References for Engine Block Heater TimerTermUnitValuesSourceP, Average power consumption of engine block heaterkWEDC Data GatheringEDC Data GatheringDefault = 1.32Hours, Reduction in number of hours block heater is used per nightHours/dayEDC Data GatheringEDC Data GatheringDefault = 92Days, Number of operating days per yearDays/yearEDC Data GatheringEDC Data GatheringDefault = 652UF, Usage factorNoneEDC Data GatheringEDC Data GatheringDefault = 0.972Default SavingsDefault savings for this measure are shown in This data should be used, instead of the table below.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 208: Default Savings for Engine Block Heater TimerEnergy Savings (kWh)Peak Demand Reduction (kW)737.70Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures listed in REF _Ref395168432 \h Table 3170, when possible.The estimated utilization of the ENERGY STAR server for servers with one processor was based on the average of two sources, as follows.Glanz, James. Power Pollution and The Internet, The New York Times, September 22, 2012. This article cited to sources of average utilization rates between 6 to 12%.Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with 1 processor is approximately 20%.The estimated utilization of the ENERGY STAR server for servers with two processor was based on the average of two sources, as follows.Using Virtualization to Improve Data Center Efficiency, Green Grid White Paper, Editor: Richard Talaber, VMWare, 2009. A target of 50% server utilization is recommended when setting up a virtual host. Stakeholders interviewed during the development of the ENERGY STAR server specification reported that the average utilization rate for servers with two processors is approximately 30%.The default percentage savings on the ENERGY STAR server website was reported to be 30% on May 20th, 2014. In December 2013, ENERGY STAR stopped including full load power data as a field in the ENERGY STAR certified product list. In order to full load power required in the Uniform Methods Project algorithm for energy efficient servers, a ratio of idle power to full load power was estimated. The idle to full load power ratios were estimated based on the ENERGY STAR qualified product list from November 18th, 2013. SourcesGutierrez, Alfredo. Circulating Block Heater. Prepared for the California Technical Forum. HYPERLINK "" Wisconsin Focus on Energy 2018 Technical Reference Manual. Public Service Commission of Wisconsin. The Cadmus Group, Inc. 2018. Pg. 590. HYPERLINK "" High Frequency Battery ChargersTarget SectorCommercial and Industrial EstablishmentsMeasure UnitChargerMeasure Life15 years Source 1Measure VintageNew Construction, Replace on BurnoutEligibilityThis measure applies to industrial high frequency battery chargers, used for industrial equipment such as fork lifts, replacing existing SCR (silicon controlled rectifier) or ferroresonant charging technology. They have a greater efficiency than silicon controlled rectifier (SCR) or ferroresonant chargers. The baseline equipment is a SCR or ferroresonant battery charger system with minimum 8-hour shift operation five days per week. The energy efficient equipment is a high frequency battery charger system with a minimum power conversion efficiency of 90% and 8-hour shift operation five days per week.AlgorithmsAlgorithms for annual energy savings andThe ratios listed in REF _Ref395168432 \h Table 3170 are based on the average idle to full load ratios for all ENERGY STAR qualified servers in each server category.The coincident peak demand savings are shown below.ΔkWh= CAP ×DOD ×CHG × CRbasePCbase- CReePCee ?kWpeak=PFbasePCbase- PFeePCee ×VoltsDC ×AmpsDC1,000 ×CFDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 209: Terms, Values, and References for High Frequency Battery ChargersTermUnitValuesSourceCAP, Capacity of batterykWhEDC Data GatheringEDC Data GatheringDefault: 352DOD, Depth of dischargePercentDefault: 80%3CHG, Number of charges per yearNEDC Data GatheringEDC Data GatheringDefault: REF _Ref528243458 \h \* MERGEFORMAT Table 32104CRbase, Baseline charge return factorDecimalDefault: 1.24853, 5PCbase, Baseline power conversion efficiencyDecimalDefault: 0.843CRee, Efficient charge return factorDecimalDefault: 1.1073PCee, Efficient power conversion efficiencyDecimalDefault: 0.893PFbase, Power factor of baseline chargerDecimalDefault: 0.90953PFee, Power factor of high frequency chargerDecimalDefault: 0.93703VoltsDC, DC rated voltage of chargerVEDC Data GatheringEDC Data GatheringDefault: 486AmpsDC, DC rated amerage of chargerAEDC Data GatheringEDC Data GatheringDefault: 8161,000, Conversion factorWkW1,000Conversion FactorCF, Coincidence factorDecimalDefault for single shift or 2-shift: 0.25Default for 3-shift or 4-shift: 17Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 210: Default Values for Number of Charges Per YearOperation Facility Schedule(hours per day / days per week)Number of Charges Per YearSingle Shift (8/5)2602-Shift (16/5)5203-Shift (24/5)7804-Shift (24/7)1,092Default SavingsDefault savings for this measure are shown in the table below.Table STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 211: Default Savings for High Frequency Battery ChargingValueOperation Facility Schedule (hours per day / days per week)Single Shift (8/5) or Unknown2-Shift (16/5)3-Shift (24/5)4-Shift (24/7)Annual Energy Savings (kWh) 1,765.3 3,530.6 5,296.0 7,414.4 Peak Demand Savings (kW)0.0290.0290.1160.116Evaluation ProtocolFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEcos Consulting. Analysis of Standards Options for Battery Charger Systems. Prepared for the California IOUs. October 2010. Page 45.Jacob V. Renquist, Brian Dickman, and Thomas H. Bradley, “Economic Comparison of fuel cell powered forklifts to battery powered forklifts”, International Journal of Hydrogen Energy Volume 37, Issue 17, (2012): 2Ryan Matley, “Measuring Energy Efficiency Improvements in Industrial Battery Chargers”, (ESL-IE-09-05-32, Energy Technology Conference, New Orleans, LA, May 12-15, 2009), 4.Values are based on an estimated one charge per 8-hour workday.Average of SCR and ferroresonant.Pacific Gas & Electric, “Emerging Technologies Program Application Assessment Report #0808”, Industrial Battery Charger Energy Savings Opportunities. May 29, 2009. Page 8, Table 3. Voltage and ampere rating based on the assumption of 35kWh battery with a normalized average amp-hour capacity of 760 Ah charged over a 7.5-hour charge cycle. HYPERLINK "" Pacific Gas & Electric, “Emerging Technologies Program Application Assessment Report #0808”, Industrial Battery Charger Energy Savings Opportunities. May 29, 2009. See discussion below Table 7. For single shifts and 2-shifts, the average charge cycle will begin at 5:00 PM. This equates to 1 hour during the PJM peak period (2 PM – 6 PM). For 3-shift and 4-shift, it is expected that the charger will be charging during the full peak period. HYPERLINK "" Demand ResponseLoad Curtailment for Commercial and Industrial ProgramsTarget SectorCommercial and Industrial EstablishmentsMeasure UnitN/AMeasure Life1 yearMeasure VintageDemand ResponseIn a C&I Load Curtailment (LC) program, end-use customers are provided a financial incentive to reduce the amount of electricity they take from the EDC during Demand Response events. This temporary factor was assumed to be 100% since the servers operate 24 hours per day, 365 days per year and the demand reduction in electricity consumption can be achieved in a number of ways. The specific load curtailment actions taken by program participants are outside of the scope of this protocol. Load curtailment is a dispatchable, event-based resource because the load impacts are only expected to occur on days when DR events are called. This is fundamentally different from non-dispatchable DR options such as dynamic pricing or permanent load shifting. This protocol only applies to dispatchable resources.Peak demand reductions associated with DR resources are defined as the difference between a customer’s actual (measured) electricity demand and the amount of electricity the customer would have demanded in the absence of the DR program incentive. The latter is inherently counterfactual because it never occurred and therefore cannot be measured and must be estimated. This estimate of how much electricity would have been consumed absent the DR program is analogous to the baseline condition for an energy efficiency measure. In this protocol, this estimate is referred to as the reference load. The reference load used to determine impacts from a LC program participant during a DR event shall be estimated using one of the following methods. The methods are in hierarchical order of preference based on expected accuracy. The EDCs are strongly encouraged to utilize the first three methodologies to verify achievement of demand reductions targets for the phase. In scenarios where an EDC determines a Customer Baseline (CBL) approach is more appropriate, the EDC should provide sound reasoning for the choice of the CBL approach as opposed to the first three methodologies.A comparison group analysis where the loads of a group of non-participating customers that are similar to participating customers with respect to observable characteristics (e.g. non-event weekday consumption) are used to estimate the reference load. A variety of matching techniques are available and the EDC evaluation contractor can choose the technique used to select the comparison group based on their professional judgment. The primary objective of statistical matching is to eliminate bias in the reference load during the most relevant load hours. The most relevant hours are those during the event, but hours immediately prior to and immediately following the event period are also important. As such, matching methods should focus on finding customers with loads during these critical hours that are as close as possible to the loads of participating customers for days that have weather and perhaps other conditions very similar to event days. If events are most likely to be called on hot days, hot non-event days should be used for statistical matching (and very cool days should be excluded). If need be, difference-in-differences techniques can be utilized to eliminate any pre-existing differences in consumption between the treatment and matched control group during estimation.A ‘within-subjects’ regression analysis where the loads of participating customers on non-event days are used to estimate the reference load. The regression equation should include temperature and other variables that influence usage as explanatory variables. This method is superior to the baseline methods discussed in (4).A hybrid Regression-Matching method where matching is used for most customers and regression methods are used to predict reference loads for any large customers who are too unique to have a good matching candidate. This approach allows for matching methods to be used when good matches are available without dropping unique customers who do not have valid matches from the analysis. The hybrid approach is also superior to the baseline methods discussed in (4).A CBL approach (1) with a weather adjustment to account for the more extreme conditions in place on event days or (2) without a weather adjustment in cases where loads are associated with non-weather-sensitive end-uses. In this approach, the reference load is estimated by calculating the average usage in the corresponding hours for selected days leading up to or following an event day. Multiplicative or additive same-day adjustments for the CBL are prohibited because of the day-ahead event notification. A variety of CBL methods are available to be used and the EDC contractor should provide justification for the specific method that is selected. Reference loads should generally be calculated separately for each participant, but aggregation of accounts or meters is permissible at the discretion of the EDC evaluation contractor. CBL methods are the least preferred of the four approaches, but may produce valid results in situations where customer loads are fairly this measure is constant and are not highly sensitive or insensitive to weather conditions.The three International Data Corporation (IDC) studies indicate organizations replace their servers once every three to five yearsIDC (February 2012). “The Cost of Retaining Aging IT Infrastructure.” Sponsored by HP. Online. HYPERLINK "" IDC (2010). “Strategies for Server Refresh.” Sponsored by Dell. Online. HYPERLINK "" DC (August 2012). “Analyst Connection: Server Refresh Cycles: The Costs of Extending Life Cycles.” Sponsored by HP/Intel. Online. HYPERLINK "" weather conditions in place at the time of the event are always used to claim savings. Weather-normalized or extrapolation of impacts to other weather conditions is not permitted.Other curtailment event days – either Act 129 or PJM – should be removed when estimating the reference load for an Act 129 event day. Additionally, weekends, holidays, and shut down days may be removed when estimating reference loads. Where feasible, matching-based methods are capable of effectively removing selection bias and providing accurate impact estimates that are comparable to results from a randomized experiment and are generally superior to within-subjects approaches. Because of this, in situations where large and representative control pools are available, it is suggested that the comparison group approach be used.EligibilityIn order to be eligible for an EDC Load Curtailment program, a customer must have an hourly or sub-hourly revenue meter. Interval demand readings are necessary to calculate the reference load and estimate load impacts from DR events. Sub-metered loads may be used for accounts which do not have interval meters at the discretion of the SWE. AlgorithmsAnnual peak demand savings must be estimated using individual customer data (e.g. account, meter, or site as defined by program rules) regardless of which evaluation method is used. Program savings are the sum of the load impacts across all participants. The equations below provide mathematical definitions of the average peak period load impact estimate that would be calculated using an approved method.?kWpeak=i=1nΔkWinΔkWi= kW_Referencei- kW_MeterediDefinition of TermsTable STYLEREF 1 \s 3 SEQ Table \* ARABIC \s 1 212: Terms, Values, and References for C&I Load CurtailmentTermUnitValuesSourcen, Number of DR hours during a program year for the EDCHoursEDC Data GatheringEDC Data GatheringΔkWi, Estimated load impact achieved by an LC participant in hour i. This term can be positive (a load reduction) or negative (a load increase).kWEDC Data GatheringEDC Data GatheringkW_Referencei, Estimated customer load absent DR during hour ikWEDC Data GatheringEDC Data GatheringkW_Meteredi, Measured customer load during hour ikWEDC Data GatheringEDC Data GatheringDefault SavingsThere are no default savings for this measure.Evaluation ProtocolsThe evaluation protocols for the Load Curtailment measure follow the calculation methodologies described in this document. Evaluation of the measure should rely on a census of program participants unless a sampling approach (either of days or participants) is approved by the SWE. Detailed protocols for implementing the methodologies described above and the outputs that must be produced are provided in the Evaluation Framework. This Page Intentionally Left BlankAgricultural Measures The following section of the TRM contains savings protocols for agricultural measures that apply to both residential and commercial & industrial sector.Agricultural Automatic Milker Takeoffs Measure NameAutomatic Milker TakeoffsTarget SectorAgriculture (includes Residential and Commercial)Measure UnitMilker Takeoff SystemUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 years Source 1Measure Vintage RetrofitEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of automatic milker takeoffs on dairy milking vacuum pump systems. Automatic milker takeoffs shut off the suction on teats once a minimum flow rate is achieved. This reduces the load on the vacuum pump. This measure requires the installation of automatic milker takeoffs to replace pre-existing manual takeoffs on dairy milking vacuum pump systems. Equipment with existing automatic milker takeoffs is not eligible. In addition, the vacuum pump system serving the impacted milking units must be equipped with a variable speed drive (VSD) to qualify for incentives. Without a VSD, little or no savings will be realized. AlgorithmsThe annual energy savings are obtained through the following formulas:kWh=COWS×ESC ?kWpeak=?kWh×ETDFCFDefinition of TermsDefinition of TermsTable 41: Terms, Values, and ReferencesVariables for Automatic Milker TakeoffsTermUnitValuesSourceCOWS, Number of cows milked per day (not the number of individual milkings; each cow is assumed to be milked twice per day)CowsBased on customer applicationEDC Data GatheringESC, Annual Energy Savings per cow per yearkWhcowkWh?yrcow347.51, 2, 3, 4, 5, 6ETDF, Energy toCF, Demand Coincidence factorkWkWhDecimal0.000170001476Default SavingsThere are no default savings for this protocol. Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesIdaho Power Demand Side Management Potential Study – Volume II Appendices, Nexant, 2009.The ESC was calculated based on the following assumptions:Average herd size is 10275 cows in PA (Source 32)The typical dairy vacuum pump size for the average herd size is 10 horsepower (Source 4)Based on the herd size, average pump operating hours are estimated at 108 hours per day (or 0.10 hours per cow per day) (Source 54)A 12.5% annual energy saving factor (Source 65)Chuck Nicholson, Mark Stephenson, Andrew Novakovic: “Study to Support Growth and Competitiveness of theDavid W. Kammel: “Dairy Modernization: Growing Pennsylvania Dairy Industry”, 2017.Family Dairy Farms”, Biological Systems Engineering, University of Wisconsin. HYPERLINK "" HYPERLINK "" Average dairy vacuum pump size was estimated based on the Minnesota Dairy Project literature. HYPERLINK "" Mayer, David Kammel: “Dairy Modernization Works for Family Farms”, 2008. HYPERLINK "" . The paper asserts an average of 22.7 cows milked per hour prior to modernization. This TRM adopts a conservative estimate of 20 cows milked per hour. Annual pump operating hours areis based on the assumption that 15-20 cows are milked per hour and two milkings occur per day.Savings are based on the assumption that automatic milker take-offs eliminate open vacuum pump time associated with milker take-offs separating from the cow or falling off during the milking process. The following conservative assumptions were made to determine energy savings associated with the automatic milker take-offs:There is 30 seconds of open vacuum pump time for every 8 cows milked.The vacuum pump has the ability to turn down during these open-vacuum pump times from a 90% VFD speed to a 40% VFD speed.Additionally, several case studies from the Minnesota Dairy Project include dairy pump VFD and automatic milker take-off energy savings that are estimated at 50-70% pump savings. It is assumed that the pump VFD savings are 46%, therefore the average remaining savings can be attributed to automatic milker take-offs. HYPERLINK "" Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. HYPERLINK "" Accessed from RTF website HYPERLINK "" on February 27, 2013.Dairy Scroll CompressorsTarget SectorAgricultureMeasure NameDairy Scroll CompressorsTarget SectorAgriculture (includes Residential and Commercial)Measure UnitCompressorMeasure Life15 years Source 1Unit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsMeasure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of a scroll compressor to replace an existing reciprocating compressor or the installation of a scroll compressor in a new construction application. The compressor is used to cool milk for preservation and packaging. The energy and demand savings per cow will depend on the installed scroll compressor energy efficiency ratio (EER), operating days per year, and the presence of a precooler in the refrigeration system. This measure requires the installation of a scroll compressor to replace an existing reciprocating compressor or to be installed in a new construction application. Existing farms replacing existing scroll compressors are not eligible. AlgorithmsThe energy and peak demand savings are dependent on the presence of a precooler in the system, and are obtained through the following formulas:kWh=CBTUEERbase-CBTUEERee×1?kW1,000?W1?kW1000?W×DAYS×COWS?kWpeak=?kWh×ETDFCFDefinition of TermsTable 42: Terms, Values, and ReferencesVariables for Dairy Scroll CompressorsTermUnitValuesSourceEERbase, Baseline compressor efficiencyBtuhr?WBaseline compressor manufacturers data based upon customer applicationEDC Data GatheringDefault: 5.8521EERee, Installed compressor efficiencyBtuhr?WFrom nameplateEDC Data GatheringCBTU, Heat load of milk per cow per day for a given refrigeration system BtuCow?daySystem without precooler: 2,864System with precooler: 9222, 3, 4DAYS, Milking days per yearDaysBased on customer applicationEDC Data GatheringDefault: 365 days/year3, 4, 5COWS, Average number of cows milked per day (not the number of individual milkings; each cow is assumed to be milked twice per day)CowsBased on customer applicationEDC Data GatheringETDF, Energy toCF, Demand Coincidence factor kWkWhDecimal0.000170001465Default SavingsDefault SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesPA Consulting Group for the State of Wisconsin Public Service Commission, Focus on Energy Evaluation. Business Programs: Measure Life Study. August 25, 2009. Appendix B HYPERLINK "" on the average EER data for a variety of reciprocating compressors from Emerson Climate Technologies. HYPERLINK "" on a specific heat value of 0.93 Btulb?℉ and density of 8.7 lb/gallon for whole milk. American Society of Heating Refrigeration and Air-conditioning Engineers Refrigeration Handbook, 2010, Ch.19.5.Based on delta T (temperature difference between the milk leaving the cow and the cooled milk in tank storage) of 59 °F for a system with no pre-cooler and 19 °F for a system with a pre-cooler. It was also assumed that an average cow produces 6 gallons of milk per day. KEMA 2009 Evaluation of IPL Energy Efficiency Programs, Appendix F, pg. 347. HYPERLINK "" on typical dairy parlor operating hours referenced for agriculture measures in California. California Public Utility Commission. Database for Energy Efficiency Resources (DEER) 2005. The DEER database assumes 20 hours of operation per day, but is based on much larger dairy farms (e.g. herd sizes > 300 cows). Therefore, the DEER default value was lowered to 8 hours per day, as the average herd size is 75 cows in Pennsylvania.Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. HYPERLINK "" Accessed from RTF website HYPERLINK "" on February 27, 2013.High Efficiency Ventilation Fans with and without ThermostatsMeasure NameHigh Efficiency Ventilation Fans with and without ThermostatsTarget SectorAgriculture (includes Residential and Commercial)Measure UnitFanUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life1510 years Source 1Measure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of high efficiency ventilation fans to replace standard efficiency ventilation fans or the installation of a high efficiency ventilation fans in a new construction application. The high efficiency fans move more cubic feet of air per watt compared to standard efficiency ventilation fans. Adding a thermostat control will reduce the number of hours that the ventilation fans operate. This protocol does not apply to circulation fans.This protocol applies to: (1) the installation of high efficiency ventilation fans in either new construction or retrofit applications where standard efficiency ventilation fans are replaced, and/or (2) the installation of a thermostat controlling either new efficient fans or existing fans. Default values are provided for dairy and swine applications. Other facility types are eligible; however, data must be collected for all default values. Note that savings are calculated per fan.AlgorithmsAlgorithmsThe annual energy savings are obtained through the following formulas:kWhfan= Qtystd×1Effstd×CFM×hours×11,000-Qtyhigh×1Effhigh×CFM×hours×11,000kWhtstat=1Effinstalled×CFM×hourststat×11,000kWhtotal=?kWhfan+?kWhtstat?kWpeak=?kWhfan×CFDefinition of Terms?kWh= 1Effstd-1Effhigh×CFM×HOURS×11,000?kWpeak=?kWh×ETDFDefinition of TermsTable 43: Terms, Values, and ReferencesVariables for Ventilation FansTermUnitValuesSourceQtystd, Quantity of the standard efficiency fansNoneBased on customer applicationEDC Data GatheringQtyhigh, Quantity of high efficiency fans that were installedNoneBased on customer applicationEDC Data GatheringEffstd, Efficiency of the standard efficiency fan at a static pressure of 0.1 inches watercfmWBased on customer applicationEDC Data GatheringDefault: values in REF _Ref350251205 \h \* MERGEFORMAT Table 4421Effhigh, Efficiency of the high efficiency fan at a static pressure of 0.1 inches water cfmWBased on customer application.EDC Data Gathering, 2, 3Default: values in REF _Ref350251205 \h \* MERGEFORMAT Table 441, 2, 3, 4Effinstalled, Efficiency at a static pressure of 0.1 inches water for the installed fans controlled by the thermostat cfmWBased on customer application.EDC Data Gathering, 2, 3Default values in REF _Ref350251205 \h \* MERGEFORMAT Table 44. If fans were not replaced, use the default values for Effstd. If fans were replaced, use the default values for Effhigh.1, 2, 3HOURShours, operating hours per year of the fan without thermostatHoursBased on customer applicationEDC Data GatheringDefault without thermostat:use values in REF _Ref350774060 \h \* MERGEFORMAT Table 45Default with thermostat: REF _Ref350781234 \h \* MERGEFORMAT Table 462, 51, 4CFM, cubic feet per minute of air movementft3minBased on customer application. This can vary for pre- and post-installation if the information is known for the pre-installation case.EDC Data GatheringDefault: values in REF _Ref350251205 \h \* MERGEFORMAT Table 4421hourststat, reduction in operating hours of the fan due to the thermostatHoursDefault values in REF _Ref350781234 \h \* MERGEFORMAT Table 4641,000, watts per kilowattwattskilowatt1,000Conversion FactorETDF, Energy to DemandCF, demand coincidence factorkWkWhDecimal0.000197Engineering calculationsTable STYLEREF 1 \s 4 SEQ Table \* ARABIC \s 1 4: Default values for standard and high efficiency ventilation fans for dairy and swine facilitiesFan Size (inches)High Efficiency Fan(cfm/W at 0.1 inches water)Standard Efficiency Fan(cfm/W at 0.1 inches water)CFM14 - -2312.49.23,60024 - -3515.311.26,27436 - -4719.215.010,83748 - 6122.717.822,626Table 45:. Default Hours for Ventilation Fans by Facility Type by Location (No Thermostat)Facility TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportDairy - Stall Barn5,0714,5964,3364,8075,1635,3905,0104,8435,020Dairy – Free-Stall or Cross-Ventilated Barn3,2992,6652,3652,9843,4363,7323,2312,9853,241Hog Nursery or Sow House5,864Hog Finishing House4,729Table STYLEREF 1 \s 4 SEQ Table \* ARABIC \s 1 6. Default Hours Reduced by Thermostats by Facility Type and LocationFacility TypeAllentownErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportUnknownDairy - Stall Barn3,2994572,6653,4582,3653,3672,9843,2853,4363,7324413,2315942,9853,4483,241Dairy – Free-Stall or Cross-Ventilated Barn1,6851,6351,6401,6271,6621,7361,669Hog Nursery or Sow House2,6292,9852,3232,1792,7322,8852,666Hog Finishing House*0000000Table STYLEREF 1 \s 4 SEQ Table \* ARABIC \s 1 6: Default Hours for Ventilation Fans by Facility Type by Location (With Thermostat) Facility TypeAllentownBinghamtonBradfordErieHarrisburgPhiladelphiaPittsburghScrantonWilliamsportDairy - Stall Barn3,4573,5623,5263,4583,3673,2853,4413,5943,448Dairy – Free-Stall or Cross-Ventilated Barn1,6851,6631,5741,6351,6401,6271,6621,7361,669Hog Nursery or Sow House3,2352,5812,1392,8793,5413,6853,1322,9793,198Hog Finishing House*4,7294,7294,7294,7294,7294,7294,7294,7294,729Unknown1,6851,6631,5741,6351,6401,6271,6621,7361,669* Hog finishing house ventilation needs are based on humidity; therefore a thermostat will not reduce the number of hours the fans operate.* Hog finishing house ventilation needs are based on humidity; therefore a thermostat will not reduce the number of hours the fans operate.Default SavingsThere are no default savings for this measure. Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. KEMA. 2009 Evaluation of IPL Energy Efficiency Programs, Appendix F, 2008. See Table H-5. HYPERLINK "" State University. Tunnel Ventilation for Tie Stall Dairy Barns. 2004. Downloaded from HYPERLINK "" from HYPERLINK "" . Static pressure reference point for dairy barns comes from page 3. The recommended static pressure is 0.125 to 0.1-inch inches water gauge.Iowa State University. Mechanical Ventilation Design Worksheet for Swine Housing. 1999. Downloaded from HYPERLINK "" . Static pressure reference point for swine housing comes from page 2. The recommended static pressure is 0.125 to 0.1 inches water for winter fans and 0.05 to 0.08 inches water for summer fans. A static pressure of 0.1 inches water was assumed for dairy barns and swine houses as it is a midpoint for the recommended values. Based on the methodology in KEMA’s evaluation of the Alliant Energy Agriculture Program (Source 1). Updated the hours for dairies and thermostats using TMY3 temperature data for PA, as fan run time is dependent on ambient dry-bulb temperature. For a stall barn, it was assumed 33% of fans are on 8,760 hours per year, 67% of fans are on when the temperature is above 50 degrees Fahrenheit, and 100% of the fans are on when the temperature is above 70 degrees Fahrenheit. For a cross-ventilated or free-stall barn, it was assumed 10% of fans are on 8,760 hours per year, 40% of fans are on when the temperature is above 50 degrees Fahrenheit, and 100% of the fans are on when the temperature is above 70 degrees Fahrenheit. The hours for hog facilities are based on humidity. These hours were not updated as the methodology and temperatures for determining these hours was not described in KEMA’s evaluation report and could not be found elsewhere. However, Pennsylvania and Iowa are in the same ASHRAE climate zone (5A) and so the Iowa hours provide a good estimate for hog facilities in Pennsylvania. Heat ReclaimersMeasure NameHeat ReclaimersTarget SectorAgriculture (includes Residential and Commercial)Measure UnitHeat ReclaimerUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of heat recovery equipment on dairy parlor milk refrigeration systems. The heat reclaimers recover heat from the refrigeration system and use it to pre-heat water used for sanitation, sterilization and cow washing.This measure requires the installation of heat recovery equipment on dairy parlor milk refrigeration systems to heat hot water. This measure only applies to dairy parlors with electric water heating equipment.AlgorithmsThe annualThe equipment installed must be one of the following pre-approved brands or equivalent: Century-Therm, Fre-Heater, Heat Bank, Sunset, Superheater, or Therma-Stor.AlgorithmsThe energy and peak demand savings are dependent on the presence of a precooler in the refrigeration system, and are obtained through the following formulas:kWh= ESηwater heater×DAYS×COWS×HEF?kWpeak=?kWh×ETDFCFDefinition of TermsTable 47: Terms, Values, and ReferencesVariables for Heat ReclaimersTermUnitValuesSourceES, Energy savings for specified systemkWhcow?daySystem with precooler = 0.29System without precooler = 0.382, 3ES , Energy savings for specified systemkWhcow?daySystem with precooler: 0.29System without precooler: 0.381,2DAYS, Milking days per yeardaysyearBased on customer applicationEDC Data GatheringDefault: 36532COWS, Average number of cows milked per day (not the number of individual milkings; each cow is assumed to be milked twice per day)CowsBased on customer applicationEDC Data GatheringHEF, Heating element factorNoneHeat reclaimers with no back-up heat = 1.0Heat reclaimers with back-up heating elements = 0.5043ηwater heater, Electric water heater efficiencyNoneElectricStandard electric tank water heater = 0.90908High efficiency electric tank water heater = 0.93Heat pump water heater = 2.04, 5ETDF, Energy toCF, Demand Coincidence factorkWkWhDecimal0.00017000146Default SavingsDefault SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.Sources Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesState of Wisconsin. Focus on Energy Evaluation, Business Program: Measure Life Study Final Report: August 25, 2009. Appendix B. HYPERLINK "" Based on a specific heat value of 0.93 Btu/lb deg F and density of 8.7 lb/gallon for whole milk. American Society of Heating Refrigeration and Air-conditioning Engineers Refrigeration Handbook, 2010, Ch.19.5.Based on a delta T (temperature difference between the milk leaving the cow and the cooled milk in tank storage) of 59°F for a system without a pre-cooler and 19°F for a system with a pre-cooler. It was also assumed that a cow produces 6 gallons of milk per day (based on two milkings per day), requires 2.2 gallons of hot water per day, and the water heater delta T (between ground water and hot water) is 70°F. Evaluation of Alliant Energy Agriculture Program, Appendix F, 2008. HYPERLINK "" smaller dairy farms may not have enough space for an additional water storage tank, and will opt to install a heat reclaimer with a back-up electric resistance element. The HEF used in the savings algorithm is a conservative savings de-ration factor to account for the presence of back-up electric resistance heat. The HEF is based on the assumption that the electric resistance element in a heat reclaimer will increase the incoming ground water temperature by 40-50 °F before the water is heated by the heat reclaim coil.Pennsylvania Act 129 2018 Non-Residential Baseline Study, HYPERLINK "" water heater based on minimum electric water heater efficiencies defined in Table 504.2 of the 2009 International Energy Conservation Code (IECC). High efficiency water heater based on water heater efficiencies defined in REF _Ref395255456 \h Table 380: COP Adjustment Factors of the TRM. HYPERLINK "" on minimum heat pump water efficiencies defined by ENERGY STAR, 2009. HYPERLINK "" Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. HYPERLINK "" Accessed from RTF website HYPERLINK "" on February 27, 2013.High Volume Low Speed FansMeasure NameHigh Volume Low Speed FansTarget SectorAgriculture (includes Residential and Commercial)Measure UnitFanUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of High Volume Low Speed (HVLS) fans to replace conventional circulating fans. HVLS fans are a minimum of 16 feet long in diameter and move more cubic feet of air per watt than conventional circulating fans. Default values are provided for dairy, poultry, and swine applications. Other facility types are eligible, however, the operating hours assumptions should be reviewed and modified as appropriate.This measure requires the installation of HVLS fans in either new construction or retrofit applications where conventional circulating fans are replaced.AlgorithmsAlgorithmsThe annual energy and peak demand savings are obtained through the following formulas:kW= Wconventional-Whvls1,000kWh=?kW×HOURSHOU?kWpeak=?kW×CFDefinition of TermsTable 48: Terms, Values, and ReferencesVariables for HVLS FansTermUnitValuesSourceWconventional, Wattage of the removed conventional fansWBased on customer applicationEDC Data GatheringDefault: values in REF _Ref373321128 \h \* MERGEFORMAT Table 4921Whvls, Wattage of the installed HVLS fanWBased on customer applicationEDC Data GatheringDefault: REF _Ref373321128 \h \* MERGEFORMAT Table 49Default values in REF _Ref350251205 \h \* MERGEFORMAT Table 4421HOURSHOU, annual hours of operation of the fansHoursBased on customer applicationEDC Data GatheringDefault: values in REF _Ref394329436 \h \* MERGEFORMAT Table 410321,000,1000, conversion of watts per kilowattto kilowattswattskilowatts1,000Conversion factorFactorCF, CoincidenceDemand coincidence factorDecimal1.032Table STYLEREF 1 \s 4 SEQ Table \* ARABIC \s 1 9: Default Values for Conventional and HVLS Fan WattagesFan Size (ft)WhvlsWconventional≥ 16 and < 187614,497≥ 18 and < 208505,026≥ 20 and < 249405,555≥ 241,1196,613Table STYLEREF 1 \s 4 SEQ Table \* ARABIC \s 1 10:. Default Hours by Location for Dairy/Poultry/Swine ApplicationsLocationHoursHoursyearAllentown2,459446Binghamton1,526Bradford1,340Erie2,124107Harrisburg2,718717Philadelphia2,914Pittsburgh2,296292Scranton2,154145Williamsport2,371Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesState of Wisconsin. Focus on Energy Evaluation, Business Program: Measure Life Study Final Report: August 25, 2009. Appendix B. HYPERLINK "" . 2009 Evaluation of IPL Energy Efficiency Programs, Appendix F Group I Programs Volume 2. See Table H-17. HYPERLINK "" of hours above 65 degrees Fahrenheit. Based on TMY3 data. The coincidence factor has been set at 1.0 as the SWE believes all hours during the peak window will be above 65 degrees Fahrenheit.Livestock WatererMeasure NameLivestock WatererTarget SectorAgriculture (includes Residential and Commercial)Measure UnitLivestock Waterer SystemUnit Energy SavingsVariableUnit Peak Demand Reduction0 kWMeasure Life10 years Source 1Measure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of energy-efficient livestock waterers. In freezing climates no or low energy livestock waterers are used to prevent livestock water from freezing. These waterers are closed watering containers that typically use super insulation, relatively warmer ground water temperatures, and the livestock’s use of the waterer to keep water from freezing.This measure requires the installation of an energy efficient livestock watering system that is thermostatically controlled and has a minimum of two inches of factory-installed insulation with a minimum thickness of two inches. Savings algorithms are for one unit. .AlgorithmsThe annual energy savings are obtained through the following formula:?kWh=QTY×OPRHS×ESW×HRTNo demand savings are expected for this measure, as the energy savings occur during the winter months. The annual energy savings are obtained through the following formula:Definition of Terms?kWh=OPRHS×ESW×HRTDefinition of TermsTable 411: Terms, Values, and ReferencesVariables for Livestock WaterersTermUnitValuesSourceOPRHS, Annual operating hours HoursAllentown = 1,498Binghamton = 2,083Bradford = 2,510Erie = 1,778Harrisburg = 1,309Philadelphia = 1,090Pittsburgh = 1,360Scranton = 1,718Williamsport = 1,5752ESW, Change in connected load (deemed)Kilowatts waterer0.503, 4, 5HRT, % heater run timeNone80%6QTY, Number of livestock waterers installedNoneBased on customer applicationEDC Data GatheringOPRHS, Annual operating hours HoursAllentown = 1,489Erie = 1,768Harrisburg = 1,302Philadelphia = 1,090Pittsburgh = 1,360Scranton = 1,718Williamsport = 1,5741ESW, Change in connected load (deemed)Kilowatts waterer0.502, 3, 4HRT, % heater run timeNone80%5Default SavingsThere are no default savings for this measure. Evaluation Protocols For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesState of Wisconsin. Focus on Energy Evaluation, Business Program: Measure Life Study Final Report: August 25, 2009. Appendix B. HYPERLINK "" on TMY3 data for various climate zones in Pennsylvania. The annual operating hours represent the annual hours when the outdoor air dry-bulb temperature is less than 32 °F, and it is assumed that the livestock waterer electric resistance heaters are required below this temperature to prevent water freezing.Field Study of Electrically Heated and Energy Free Automated Livestock Water Fountains - Prairie Agricultural Machinery Institute, Alberta and Manitoba, 1994.Facts Automatic Livestock Waterers Fact Sheet, December 2008. HYPERLINK "$department/deptdocs.nsf/all/agdex5421/$file/716c52.pdf" $department/deptdocs.nsf/all/agdex5421/$file/716c52.pdf Connecticut Farm Energy Program: Energy Best Management Practices Guide, 2010. HYPERLINK "" The Regional Technical Forum (RTF) analyzed metered data from three baseline livestock waterers and found the average run time of electric resistance heaters in the waterers to be approximately 80% for average monthly temperatures similar to Pennsylvania climate zones. This run time factor accounts for warmer make-up water being introduced to the tank as livestock drinking occurs. HYPERLINK "" Downloaded on May 30th, 2013: HYPERLINK "" Speed Drive (VSD) Controller on Dairy Vacuum Pumps Measure NameVSD Controller on Dairy Pumps Vacuum PumpsTarget SectorAgriculture (includes Residential and Commercial)Measure UnitDairy Vacuum Pump VSDUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Source 1Measure VintageRetrofit or New ConstructionEligibilityThe following protocol for the calculation of energy and demand savings applies to the installation of a variable speed drive (VSD) and controls on a dairy vacuum pump. The vacuum pump operates during the milk harvest and equipment washing on a dairy farm. The vacuum pump creates negative air pressure that draws milk from the cow and assists in the milk flow from the milk receiver to either the bulk tank or the receiver bowl. Dairy vacuum pumps are more efficient with VSDs since they enable the motor to speed up or slow down depending on the pressure demand. The energy savings for this measure is based on pump capacity and hours of use of the pump.This measure requires the installation of a VSD and controls on dairy vacuum pumps, or the purchase of dairy vacuum pumps with variable speed capability. Pre-existing pumps with VSD’s are not eligible for this measure.AlgorithmsThe annual energy savings are obtained through the following formulae:kWh=HP×0.746 kWHP×LFηmotor0.746×LFηmotor×ESF×DHRS×ADAYS?kWpeak=?kWh×ETDFCFEnergy to DemandCoincidence Factor An average of pre and post kW vacuum pump power meter data from five dairy farms in the Pacific Northwest are used to create the vacuum pump demand load profile in REF _Ref364075019 \h \* MERGEFORMAT Figure 41.Source 2 Because dairy vacuum pump operation does not vary based on geographical location, the average peak demand reduction obtained from these five sites can be applied to Pennsylvania. There are no seasonal variations in cow milking times, as dairy farms milk cows year round, so the load profile below applies to 365 days of operation. The average percent demand reduction for these five sites during the coincident peak demand period of June through September between noon and 8 pm is 46%, which is consistent with the energy savings factors and demand savings estimated for the sources cited in this protocol. Based on this data, the energy to demand coincidence factor is estimated by dividing the average peak coincident demand kW reduction by kWh savings for a 1 horsepower motor. The result is an energy to demanda coincidence factor equal to 0.00014. Note that this value has been adapted from a definition of peak period that differs from the definition in Pennsylvania. Figure 41: Typical Dairy Vacuum Pump Coincident Peak Demand ReductionDefinition of TermsDefinition of TermsTable 412: Terms, Values, and ReferencesVariables for VSD Controller on Dairy Vacuum PumpTermUnitValuesSourceMotor HP, Rated horsepower of the motorHPNameplateEDC Data Gathering0.746, conversion factor from horsepower to kWkWHP0.746Conversion FactorLF, Load Factor. Ratio between the actual load and the rated load. The default value is 0.90 NoneBased on spot metering and nameplateEDC Data GatheringDefault: 90%3Default: 90%1ηmotor, Motor efficiency at the full-rated load. For VFD installations, this can be either an energy efficient motor or standard efficiency motor. NoneNameplateEDC Data GatheringESF, Energy Savings Factor. Percent of baseline energy consumption saved by installing VFD.None46%4, 5DHRS, Daily run hours of the motorHours/DayBased on customer applicationEDC Data GatheringDefault: 8 4, 5ESF, Energy Savings Factor. Percent of baseline energy consumption saved by installing VFD.None46%2, 3DHRS, Daily run hours of the motorHoursBased on customer applicationEDC Data GatheringDefault: 8 hoursday2, 3ADAYS, Annual operating daysDaysBased on customer applicationEDC Data GatheringDefault: 365 daysyear4, 52, 3ETDF, Energy toCF, Demand Coincidence factorkWkWhDecimal0.0001453Default SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Default SavingsThere are no default savings for this measure.Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesRegional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. Accessed from RTF website HYPERLINK "" on February 27, 2013. Pre and post power meter data for five sites were used to establish RTF energy savings for this measure, and raw data used to generate the load profile referenced in this protocol can be found in the zip file on the “BPA Case Studies” tab.Southern California Edison, Dairy Farm Energy Management Guide: California, p. 11, 2004.California Public Utility Commission. Database for Energy Efficiency Resources (DEER) 2005. The DEER database assumes 20 hours of operation per day, but is based on much larger dairy farms (e.g. herd sizes > 300 cows). Therefore, the DEER default value was lowered to 8 hours per day, as the average heard size in 75 cows in Pennsylvania. Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. Accessed from RTF website HYPERLINK "" on February 27, 2013.is significantly less in Pennsylvania. Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. Accessed from RTF website HYPERLINK "" on February 27, 2013.Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Agricultural: Variable Frequency Drives-Dairy, FY2012, V1.2. HYPERLINK "" Low Pressure Irrigation SystemMeasure NameLow Pressure Irrigation SystemTarget SectorAgriculture and Golf Courses (includes Residential and Commercial)Measure UnitIrrigation SystemUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life5 years Source 1Measure VintageReplace on Burnout or New ConstructionEligibilityThe following protocol for the measurements of energy and demand savings applies to the installation of a low-pressure irrigation system, which reducesthus reducing the amount of energy required to apply the same amount of water as a baseline system. The amount of energy saved per acre will depend on the actual operating pressure decrease, the pumping plant efficiency, the amount of water applied, and the number of nozzle, sprinkler or micro irrigation system conversions made to the system. This measure requires a minimum of 50% reduction in irrigation pumping pressure through the installation of a low-pressure irrigation system in agriculture or golf course applications. The pressure reduction can be achieved in several ways, such as nozzle or valve replacement, sprinkler head replacement, alterations or retrofits to the pumping plant, or drip irrigation system installation, and is left up to the discretion of the owner. Pre and post retrofit pump pressure measurements are required. AlgorithmsThe annual energy savings are obtained through the following formulas:Agriculture applications: ?kWh=ACRES×PSIbase-PSIeff×GPM11,714PSI ×GPMHP× ηmotor×0.746 kWHP×OPRHS=ACRES×PSIbase-PSIeff×GPM11,714 gpm?psiHP × ηmotor×0.746kWHP×OPRHSIrrigation HoursGrowing Season?kWpeak=?kWh×ETDF=?kWhyr×CF Golf Course applications:?kWh=PSIbase-PSIeff×GPM21,714PSI ×GPMHP×ηmotor×0.746 kWHP×DHRS×ADAYS=PSIbase-PSIeff×GPM21,714gpm psiHP×ηmotor×0.746kWHP×DHRS×MONTHS×30avg. daysmonthNo peak demand savings may be claimed for golf course applications as watering typically occurs during non-peak demand hours.Definition of TermsTable 413: Terms, Values, and ReferencesVariables for Low Pressure Irrigation SystemsTermUnitValuesSourceACRES, Number of acres irrigatedAcresBased on customer applicationEDC Data Gathering,1PSIbase, Baseline pump pressure, must be measured and recorded prior to installing low-pressure irrigation equipment.Pounds per square inch (psi)Based on pre retrofit pressure measurements taken by the installerEDC Data Gathering,1PSIeff, Installed pump pressure, must be measured and recorded after the installation of low-pressure irrigation equipment by the installer. Pounds per square inch (psi)Based on post retrofit pressure measurements taken by the installerEDC Data Gathering,1GPM1, Pump flow rate per acre for agriculture applications.Gallons per minute (gpm) per acreBased on pre retrofit flow measurements taken by the installerEDC Data Gathering,1GPM2, Pump flow rate for pumping system for golf courses.Gallons per minute (gpm)Based on pre retrofit flow measurements taken by the installerEDC Data Gathering,11,7141714, Constant used to calculate hydraulic horsepower for conversion between horsepower and pressure and flowPSI ×GPMHPNone1,714HP=PSI ×GPM1714Conversion FactorOPHRS, Average irrigation hours per growing season for agricultureHoursBased on customer applicationEDC Data GatheringDHRS, Hours of watering per day for golf coursesHours/DayBased on customer applicationEDC Data GatheringADAYS, Annual operating daysMONTHS, Number of months of irrigation for golf coursesDaysMonthsBased on customer applicationEDC Data Gatheringηmotor, Pump motor efficiency NoneBased on customer applicationEDC Data GatheringLook up pump motor efficiency based on the pump nameplate horsepower (HP) from customer application and nominal efficiencies defined in REF _Ref533680101 \h Table 366 and REF _Ref413757896 \h Table 367 REF _Ref364075144 \h \* MERGEFORMAT Table 3562ETDF, Energy to demandCF, Demand coincidence factor for agriculturekWkWhDecimal0.00263, 4Default SavingsThere are no default savings for this measure. Evaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. REF _Ref533680101 \h \* MERGEFORMAT Table 366 and REF _Ref413757896 \h \* MERGEFORMAT Table 367 containBased on Alliant Energy program evaluation assumptions for low-flow pressure irrigation systems. Evaluation of Alliant Energy Agriculture Program, Appendix F, 2008. HYPERLINK "" REF _Ref364075144 \h Table 356 contains federal motor efficiency values by motor size and type. If existing motor nameplate data is not available, these tables will be used to establish motor efficiencies. The CF was only estimated for agricultural applications, and was determined by using the following formula CF=?kW savings per acre?kWhyr savings per acre. Pennsylvania census data was used to estimate an average ?kW savings/acre and ?kWh/yr/savings/acre value. Pamela Kanagy. Farm and Ranch Irrigation. Pennsylvania Agricultural Statistics 2009-2010. HYPERLINK "" Irrigation Water Withdrawals, 20152000 by the U.S. Geological Society. Table 7. HYPERLINK "" HYPERLINK "" Page Intentionally Left Blank ................
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