Residential Measures



4404360-73796800200015494020002006606900096000-9906004460875June 2016 00June 2016 5653684222504000-9906001338580TECHNICAL REFERENCE MANUAL00TECHNICAL REFERENCE MANUAL-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 Standards15113020256569000960004404360-73796800-9906002919730State 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 Standards-9886951061720TECHNICAL REFERENCE MANUALVolume 2:Residential Measures00TECHNICAL REFERENCE MANUALVolume 2:Residential Measures-9906004460875August 201900August 20195653684222504000This Page Intentionally Left BlankTable of Contents TOC \o "1-3" \h \z \u HYPERLINK \l "_Toc423086937" 1 Introduction PAGEREF _Toc423086937 \h 1 HYPERLINK \l "_Toc423086938" 1.1 Purpose PAGEREF _Toc423086938 \h 1 HYPERLINK \l "_Toc423086939" 1.2 Using the TRM PAGEREF _Toc423086939 \h 1 HYPERLINK \l "_Toc423086940" 1.2.1 Measure Categories PAGEREF _Toc423086940 \h 2 HYPERLINK \l "_Toc423086941" 1.2.2 Customer and Program Specific Data PAGEREF _Toc423086941 \h 2 HYPERLINK \l "_Toc423086942" 1.2.3 End-use Categories & Thresholds for Using Default Values PAGEREF _Toc423086942 \h 3 HYPERLINK \l "_Toc423086943" 1.2.4 Applicability of the TRM for estimating Ex Ante (Claimed) savings PAGEREF _Toc423086943 \h 5 HYPERLINK \l "_Toc423086944" 1.3 Definitions PAGEREF _Toc423086944 \h 5 HYPERLINK \l "_Toc423086945" 1.4 General Framework PAGEREF _Toc423086945 \h 7 HYPERLINK \l "_Toc423086946" 1.5 Algorithms PAGEREF _Toc423086946 \h 7 HYPERLINK \l "_Toc423086947" 1.6 Data and Input Values PAGEREF _Toc423086947 \h 8 HYPERLINK \l "_Toc423086948" 1.7 Baseline Estimates PAGEREF _Toc423086948 \h 8 HYPERLINK \l "_Toc423086949" 1.8 Resource Savings in Current and Future Program Years PAGEREF _Toc423086949 \h 9 HYPERLINK \l "_Toc423086950" 1.9 Prospective Application of the TRM PAGEREF _Toc423086950 \h 10 HYPERLINK \l "_Toc423086951" 1.10 Electric Resource Savings PAGEREF _Toc423086951 \h 10 HYPERLINK \l "_Toc423086952" 1.11 Post-Implementation Review PAGEREF _Toc423086952 \h 10 HYPERLINK \l "_Toc423086953" 1.12 Adjustments to Energy and Resource Savings PAGEREF _Toc423086953 \h 11 HYPERLINK \l "_Toc423086954" 1.12.1 Coincidence with Electric System Peak PAGEREF _Toc423086954 \h 11 HYPERLINK \l "_Toc423086955" 1.12.2 Measure Retention and Persistence of Savings PAGEREF _Toc423086955 \h 11 HYPERLINK \l "_Toc423086956" 1.12.3 Interactive Measure Energy Savings PAGEREF _Toc423086956 \h 11 HYPERLINK \l "_Toc423086957" 1.12.4 Verified Gross Adjustments PAGEREF _Toc423086957 \h 11 HYPERLINK \l "_Toc423086958" 1.13 Calculation of the Value of Resource Savings PAGEREF _Toc423086958 \h 12 HYPERLINK \l "_Toc423086959" 1.14 Transmission and Distribution System Losses PAGEREF _Toc423086959 \h 12 HYPERLINK \l "_Toc423086960" 1.15 Measure Lives PAGEREF _Toc423086960 \h 13 HYPERLINK \l "_Toc423086961" 1.16 Custom Measures PAGEREF _Toc423086961 \h 13 HYPERLINK \l "_Toc423086962" 1.17 Impact of Weather PAGEREF _Toc423086962 \h 14 HYPERLINK \l "_Toc423086963" 1.18 Measure Applicability Based on Sector PAGEREF _Toc423086963 \h 14 HYPERLINK \l "_Toc423086964" 1.19 Algorithms for Energy Efficient Measures PAGEREF _Toc423086964 \h 15 HYPERLINK \l "_Toc423086965" 2 Residential Measures PAGEREF _Toc423086965 \h 17 HYPERLINK \l "_Toc423086966" 2.1 Lighting PAGEREF _Toc423086966 \h 17 HYPERLINK \l "_Toc423086967" 2.1.1 ENERGY STAR Lighting PAGEREF _Toc423086967 \h 17 HYPERLINK \l "_Toc423086968" 2.1.2 Residential Occupancy Sensors PAGEREF _Toc423086968 \h 25 HYPERLINK \l "_Toc423086969" 2.1.3 Electroluminescent Nightlight PAGEREF _Toc423086969 \h 27 HYPERLINK \l "_Toc423086970" 2.1.4 LED Nightlight PAGEREF _Toc423086970 \h 29 HYPERLINK \l "_Toc423086971" 2.1.5 Holiday Lights PAGEREF _Toc423086971 \h 31 HYPERLINK \l "_Toc423086972" 2.2 HVAC PAGEREF _Toc423086972 \h 34 HYPERLINK \l "_Toc423086973" 2.2.1 Electric HVAC PAGEREF _Toc423086973 \h 34 HYPERLINK \l "_Toc423086974" 2.2.2 Fuel Switching: Electric Heat to Gas/Propane/Oil Heat PAGEREF _Toc423086974 \h 45 HYPERLINK \l "_Toc423086975" 2.2.3 Ductless Mini-Split Heat Pumps PAGEREF _Toc423086975 \h 51 HYPERLINK \l "_Toc423086976" 2.2.4 ENERGY STAR Room Air Conditioners PAGEREF _Toc423086976 \h 57 HYPERLINK \l "_Toc423086977" 2.2.5 Room AC (RAC) Retirement PAGEREF _Toc423086977 \h 61 HYPERLINK \l "_Toc423086978" 2.2.6 Duct Sealing PAGEREF _Toc423086978 \h 67 HYPERLINK \l "_Toc423086979" 2.2.7 Furnace Whistle PAGEREF _Toc423086979 \h 73 HYPERLINK \l "_Toc423086980" 2.2.8 Programmable Thermostat PAGEREF _Toc423086980 \h 78 HYPERLINK \l "_Toc423086981" 2.2.9 Residential Whole House Fans PAGEREF _Toc423086981 \h 81 HYPERLINK \l "_Toc423086982" 2.2.10 Packaged Terminal Systems PAGEREF _Toc423086982 \h 83 HYPERLINK \l "_Toc423086983" 2.3 Domestic Hot Water PAGEREF _Toc423086983 \h 87 HYPERLINK \l "_Toc423086984" 2.3.1 Heat Pump Water Heaters PAGEREF _Toc423086984 \h 87 HYPERLINK \l "_Toc423086985" 2.3.2 Solar Water Heaters PAGEREF _Toc423086985 \h 93 HYPERLINK \l "_Toc423086986" 2.3.3 Fuel Switching: Electric Resistance to Fossil Fuel Water Heater PAGEREF _Toc423086986 \h 96 HYPERLINK \l "_Toc423086987" 2.3.4 Fuel Switching: Heat Pump Water Heater to Fossil Fuel Water Heater PAGEREF _Toc423086987 \h 100 HYPERLINK \l "_Toc423086988" 2.3.5 Water Heater Tank Wrap PAGEREF _Toc423086988 \h 106 HYPERLINK \l "_Toc423086989" 2.3.6 Water Heater Temperature Setback PAGEREF _Toc423086989 \h 109 HYPERLINK \l "_Toc423086990" 2.3.7 Water Heater Pipe Insulation PAGEREF _Toc423086990 \h 112 HYPERLINK \l "_Toc423086991" 2.3.8 Low Flow Faucet Aerators PAGEREF _Toc423086991 \h 114 HYPERLINK \l "_Toc423086992" 2.3.9 Low Flow Showerheads PAGEREF _Toc423086992 \h 120 HYPERLINK \l "_Toc423086993" 2.3.10 Thermostatic Shower Restriction Valve PAGEREF _Toc423086993 \h 125 HYPERLINK \l "_Toc423086994" 2.4 Appliances PAGEREF _Toc423086994 \h 129 HYPERLINK \l "_Toc423086995" 2.4.1 ENERGY STAR Refrigerators PAGEREF _Toc423086995 \h 129 HYPERLINK \l "_Toc423086996" 2.4.2 ENERGY STAR Freezers PAGEREF _Toc423086996 \h 137 HYPERLINK \l "_Toc423086997" 2.4.3 Refrigerator / Freezer Recycling with and without Replacement PAGEREF _Toc423086997 \h 141 HYPERLINK \l "_Toc423086998" 2.4.4 ENERGY STAR Clothes Washers PAGEREF _Toc423086998 \h 147 HYPERLINK \l "_Toc423086999" 2.4.5 ENERGY STAR Dryers PAGEREF _Toc423086999 \h 152 HYPERLINK \l "_Toc423087000" 2.4.6 Fuel Switching: Electric Clothes Dryer to Gas Clothes Dryer PAGEREF _Toc423087000 \h 155 HYPERLINK \l "_Toc423087001" 2.4.7 ENERGY STAR Dishwashers PAGEREF _Toc423087001 \h 158 HYPERLINK \l "_Toc423087002" 2.4.8 ENERGY STAR Dehumidifiers PAGEREF _Toc423087002 \h 161 HYPERLINK \l "_Toc423087003" 2.4.9 ENERGY STAR Water Coolers PAGEREF _Toc423087003 \h 164 HYPERLINK \l "_Toc423087004" 2.4.10 ENERGY STAR Ceiling Fans PAGEREF _Toc423087004 \h 166 HYPERLINK \l "_Toc423087005" 2.5 Consumer Electronics PAGEREF _Toc423087005 \h 169 HYPERLINK \l "_Toc423087006" 2.5.1 ENERGY STAR Televisions PAGEREF _Toc423087006 \h 169 HYPERLINK \l "_Toc423087007" 2.5.2 ENERGY STAR Office Equipment PAGEREF _Toc423087007 \h 173 HYPERLINK \l "_Toc423087008" 2.5.3 Smart Strip Plug Outlets PAGEREF _Toc423087008 \h 176 HYPERLINK \l "_Toc423087009" 2.6 Building Shell PAGEREF _Toc423087009 \h 180 HYPERLINK \l "_Toc423087010" 2.6.1 Ceiling / Attic and Wall Insulation PAGEREF _Toc423087010 \h 180 HYPERLINK \l "_Toc423087011" 2.6.2 ENERGY STAR Windows PAGEREF _Toc423087011 \h 187 HYPERLINK \l "_Toc423087012" 2.6.3 Residential New Construction PAGEREF _Toc423087012 \h 190 HYPERLINK \l "_Toc423087013" 2.6.4 Home Performance with ENERGY STAR PAGEREF _Toc423087013 \h 196 HYPERLINK \l "_Toc423087014" 2.6.5 ENERGY STAR Manufactured Homes PAGEREF _Toc423087014 \h 198 HYPERLINK \l "_Toc423087015" 2.6.6 Residential Air Sealing PAGEREF _Toc423087015 \h 204 HYPERLINK \l "_Toc423087016" 2.6.7 Crawl Space Wall Insulation PAGEREF _Toc423087016 \h 207 HYPERLINK \l "_Toc423087017" 2.6.8 Rim Joist Insulation PAGEREF _Toc423087017 \h 212 HYPERLINK \l "_Toc423087018" 2.7 Miscellaneous PAGEREF _Toc423087018 \h 217 HYPERLINK \l "_Toc423087019" 2.7.1 Pool Pump Load Shifting PAGEREF _Toc423087019 \h 217 HYPERLINK \l "_Toc423087020" 2.7.2 Variable Speed Pool Pumps (with Load Shifting Option) PAGEREF _Toc423087020 \h 220 HYPERLINK \l "_Toc423087021" 3 Commercial and Industrial Measures PAGEREF _Toc423087021 \h 225 HYPERLINK \l "_Toc423087022" 3.1 Lighting PAGEREF _Toc423087022 \h 225 HYPERLINK \l "_Toc423087023" 3.1.1 Lighting Improvements PAGEREF _Toc423087023 \h 225 HYPERLINK \l "_Toc423087024" 3.1.2 New Construction Lighting PAGEREF _Toc423087024 \h 235 HYPERLINK \l "_Toc423087025" 3.1.3 Lighting Controls PAGEREF _Toc423087025 \h 245 HYPERLINK \l "_Toc423087026" 3.1.4 Traffic Lights PAGEREF _Toc423087026 \h 248 HYPERLINK \l "_Toc423087027" 3.1.5 LED Exit Signs PAGEREF _Toc423087027 \h 251 HYPERLINK \l "_Toc423087028" 3.1.6 LED Channel Signage PAGEREF _Toc423087028 \h 254 HYPERLINK \l "_Toc423087029" 3.1.7 LED Refrigeration Display Case Lighting PAGEREF _Toc423087029 \h 257 HYPERLINK \l "_Toc423087030" 3.2 HVAC PAGEREF _Toc423087030 \h 260 HYPERLINK \l "_Toc423087031" 3.2.1 HVAC Systems PAGEREF _Toc423087031 \h 260 HYPERLINK \l "_Toc423087032" 3.2.2 Electric Chillers PAGEREF _Toc423087032 \h 269 HYPERLINK \l "_Toc423087033" 3.2.3 Water Source and Geothermal Heat Pumps PAGEREF _Toc423087033 \h 274 HYPERLINK \l "_Toc423087034" 3.2.4 Ductless Mini-Split Heat Pumps – Commercial < 5.4 tons PAGEREF _Toc423087034 \h 283 HYPERLINK \l "_Toc423087035" 3.2.5 Fuel Switching: Small Commercial Electric Heat to Natural gas / Propane / Oil Heat PAGEREF _Toc423087035 \h 288 HYPERLINK \l "_Toc423087036" 3.2.6 Small C/I HVAC Refrigerant Charge Correction PAGEREF _Toc423087036 \h 293 HYPERLINK \l "_Toc423087037" 3.2.7 ENERGY STAR Room Air Conditioner PAGEREF _Toc423087037 \h 298 HYPERLINK \l "_Toc423087038" 3.2.8 Controls: Guest Room Occupancy Sensor PAGEREF _Toc423087038 \h 302 HYPERLINK \l "_Toc423087039" 3.2.9 Controls: Economizer PAGEREF _Toc423087039 \h 306 HYPERLINK \l "_Toc423087040" 3.3 Motors and VFDs PAGEREF _Toc423087040 \h 310 HYPERLINK \l "_Toc423087041" 3.3.1 Premium Efficiency Motors PAGEREF _Toc423087041 \h 310 HYPERLINK \l "_Toc423087042" 3.3.2 Variable Frequency Drive (VFD) Improvements PAGEREF _Toc423087042 \h 322 HYPERLINK \l "_Toc423087043" 3.3.3 ECM Circulating Fan PAGEREF _Toc423087043 \h 325 HYPERLINK \l "_Toc423087044" 3.3.4 VSD on Kitchen Exhaust Fan PAGEREF _Toc423087044 \h 328 HYPERLINK \l "_Toc423087045" 3.4 Domestic Hot Water PAGEREF _Toc423087045 \h 330 HYPERLINK \l "_Toc423087046" 3.4.1 Heat Pump Water Heaters PAGEREF _Toc423087046 \h 330 HYPERLINK \l "_Toc423087047" 3.4.2 Low Flow Pre-Rinse Sprayers for Retrofit Programs PAGEREF _Toc423087047 \h 339 HYPERLINK \l "_Toc423087048" 3.4.3 Low Flow Pre-Rinse Sprayers for Time of Sale / Retail Programs PAGEREF _Toc423087048 \h 344 HYPERLINK \l "_Toc423087049" 3.4.4 Fuel Switching: Electric Resistance Water Heaters to Gas / Oil / Propane PAGEREF _Toc423087049 \h 349 HYPERLINK \l "_Toc423087050" 3.4.5 Fuel Switching: Heat Pump Water Heaters to Gas / Oil / Propane PAGEREF _Toc423087050 \h 355 HYPERLINK \l "_Toc423087051" 3.5 Refrigeration PAGEREF _Toc423087051 \h 364 HYPERLINK \l "_Toc423087052" 3.5.1 High-Efficiency Refrigeration/Freezer Cases PAGEREF _Toc423087052 \h 364 HYPERLINK \l "_Toc423087053" 3.5.2 High-Efficiency Evaporator Fan Motors for Reach-In Refrigerated Cases PAGEREF _Toc423087053 \h 368 HYPERLINK \l "_Toc423087054" 3.5.3 High-Efficiency Evaporator Fan Motors for Walk-in Refrigerated Cases PAGEREF _Toc423087054 \h 372 HYPERLINK \l "_Toc423087055" 3.5.4 Controls: Evaporator Fan Controllers PAGEREF _Toc423087055 \h 377 HYPERLINK \l "_Toc423087056" 3.5.5 Controls: Floating Head Pressure Controls PAGEREF _Toc423087056 \h 380 HYPERLINK \l "_Toc423087057" 3.5.6 Controls: Anti-Sweat Heater Controls PAGEREF _Toc423087057 \h 384 HYPERLINK \l "_Toc423087058" 3.5.7 Controls: Evaporator Coil Defrost Control PAGEREF _Toc423087058 \h 388 HYPERLINK \l "_Toc423087059" 3.5.8 Variable Speed Refrigeration Compressor PAGEREF _Toc423087059 \h 391 HYPERLINK \l "_Toc423087060" 3.5.9 Strip Curtains for Walk-In Freezers and Coolers PAGEREF _Toc423087060 \h 393 HYPERLINK \l "_Toc423087061" 3.5.10 Night Covers for Display Cases PAGEREF _Toc423087061 \h 402 HYPERLINK \l "_Toc423087062" 3.5.11 Auto Closers PAGEREF _Toc423087062 \h 405 HYPERLINK \l "_Toc423087063" 3.5.12 Door Gaskets for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc423087063 \h 408 HYPERLINK \l "_Toc423087064" 3.5.13 Special Doors with Low or No Anti-Sweat Heat for Low Temp Case PAGEREF _Toc423087064 \h 410 HYPERLINK \l "_Toc423087065" 3.5.14 Suction Pipe Insulation for Walk-In Coolers and Freezers PAGEREF _Toc423087065 \h 413 HYPERLINK \l "_Toc423087066" 3.5.15 Refrigerated Display Cases with Doors Replacing Open Cases PAGEREF _Toc423087066 \h 415 HYPERLINK \l "_Toc423087067" 3.5.16 Adding Doors to Existing Refrigerated Display Cases PAGEREF _Toc423087067 \h 417 HYPERLINK \l "_Toc423087068" 3.6 Appliances PAGEREF _Toc423087068 \h 419 HYPERLINK \l "_Toc423087069" 3.6.1 ENERGY STAR Clothes Washer PAGEREF _Toc423087069 \h 419 HYPERLINK \l "_Toc423087070" 3.7 Food Service Equipment PAGEREF _Toc423087070 \h 427 HYPERLINK \l "_Toc423087071" 3.7.1 High-Efficiency Ice Machines PAGEREF _Toc423087071 \h 427 HYPERLINK \l "_Toc423087072" 3.7.2 Controls: Beverage Machine Controls PAGEREF _Toc423087072 \h 432 HYPERLINK \l "_Toc423087073" 3.7.3 Controls: Snack Machine Controls PAGEREF _Toc423087073 \h 435 HYPERLINK \l "_Toc423087074" 3.7.4 ENERGY STAR Electric Steam Cooker PAGEREF _Toc423087074 \h 437 HYPERLINK \l "_Toc423087075" 3.7.5 ENERGY STAR Refrigerated Beverage Machine PAGEREF _Toc423087075 \h 442 HYPERLINK \l "_Toc423087076" 3.8 Building Shell PAGEREF _Toc423087076 \h 445 HYPERLINK \l "_Toc423087077" 3.8.1 Wall and Ceiling Insulation PAGEREF _Toc423087077 \h 445 HYPERLINK \l "_Toc423087078" 3.9 Consumer Electronics PAGEREF _Toc423087078 \h 450 HYPERLINK \l "_Toc423087079" 3.9.1 ENERGY STAR Office Equipment PAGEREF _Toc423087079 \h 450 HYPERLINK \l "_Toc423087080" 3.9.2 Office Equipment – Network Power Management Enabling PAGEREF _Toc423087080 \h 455 HYPERLINK \l "_Toc423087081" 3.9.3 Smart Strip Plug Outlets PAGEREF _Toc423087081 \h 458 HYPERLINK \l "_Toc423087082" 3.10 Compressed Air PAGEREF _Toc423087082 \h 460 HYPERLINK \l "_Toc423087083" 3.10.1 Cycling Refrigerated Thermal Mass Dryer PAGEREF _Toc423087083 \h 460 HYPERLINK \l "_Toc423087084" 3.10.2 Air-Entraining Air Nozzle PAGEREF _Toc423087084 \h 463 HYPERLINK \l "_Toc423087085" 3.10.3 No-Loss Condensate Drains PAGEREF _Toc423087085 \h 467 HYPERLINK \l "_Toc423087086" 3.10.4 Air Tanks for Load/No Load Compressors PAGEREF _Toc423087086 \h 472 HYPERLINK \l "_Toc423087087" 3.11 Miscellaneous PAGEREF _Toc423087087 \h 475 HYPERLINK \l "_Toc423087088" 3.11.1 ENERGY STAR Servers PAGEREF _Toc423087088 \h 475 HYPERLINK \l "_Toc423087089" 4 Agricultural Measures PAGEREF _Toc423087089 \h 480 HYPERLINK \l "_Toc423087090" 4.1 Agricultural PAGEREF _Toc423087090 \h 480 HYPERLINK \l "_Toc423087091" 4.1.1 Automatic Milker Takeoffs PAGEREF _Toc423087091 \h 480 HYPERLINK \l "_Toc423087092" 4.1.2 Dairy Scroll Compressors PAGEREF _Toc423087092 \h 483 HYPERLINK \l "_Toc423087093" 4.1.3 High Efficiency Ventilation Fans with and without Thermostats PAGEREF _Toc423087093 \h 486 HYPERLINK \l "_Toc423087094" 4.1.4 Heat Reclaimers PAGEREF _Toc423087094 \h 490 HYPERLINK \l "_Toc423087095" 4.1.5 High Volume Low Speed Fans PAGEREF _Toc423087095 \h 493 HYPERLINK \l "_Toc423087096" 4.1.6 Livestock Waterer PAGEREF _Toc423087096 \h 496 HYPERLINK \l "_Toc423087097" 4.1.7 Variable Speed Drive (VSD) Controller on Dairy Vacuum Pumps PAGEREF _Toc423087097 \h 499 HYPERLINK \l "_Toc423087098" 4.1.8 Low Pressure Irrigation System PAGEREF _Toc423087098 \h 503 HYPERLINK \l "_Toc423087099" 5 Demand Response PAGEREF _Toc423087099 \h 507 HYPERLINK \l "_Toc423087100" 5.1 Load Curtailment for Commercial and Industrial Programs PAGEREF _Toc423087100 \h 507 HYPERLINK \l "_Toc423087101" 5.2 Direct Load Control and Behavior-Based Demand Response Programs PAGEREF _Toc423087101 \h 511 HYPERLINK \l "_Toc423087102" 6 Appendices PAGEREF _Toc423087102 \h 515 HYPERLINK \l "_Toc423087103" 6.1 Appendix A: Measure Lives PAGEREF _Toc423087103 \h 515 HYPERLINK \l "_Toc423087104" 6.2 Appendix B: Relationship between Program Savings and Evaluation Savings PAGEREF _Toc423087104 \h 521 HYPERLINK \l "_Toc423087105" 6.3 Appendix C: Lighting Audit and Design Tool PAGEREF _Toc423087105 \h 522 HYPERLINK \l "_Toc423087106" 6.4 Appendix D: Motor & VFD Audit and Design Tool PAGEREF _Toc423087106 \h 523 HYPERLINK \l "_Toc423087107" 6.5 Appendix E: Eligibility Requirements for Solid State Lighting Products in Commercial and Industrial Applications PAGEREF _Toc423087107 \h 524 HYPERLINK \l "_Toc423087108" 6.5.1 Solid State Lighting PAGEREF _Toc423087108 \h 524 HYPERLINK \l "_Toc423087109" 6.6 Appendix F: Zip Code Mapping PAGEREF _Toc423087109 \h 526 HYPERLINK \l "_Toc14087374" 2Residential Measures PAGEREF _Toc14087374 \h 9 HYPERLINK \l "_Toc14087375" 2.1Lighting PAGEREF _Toc14087375 \h 9 HYPERLINK \l "_Toc14087376" ENERGY STAR Lighting PAGEREF _Toc14087376 \h 9 HYPERLINK \l "_Toc14087377" Residential Occupancy Sensors PAGEREF _Toc14087377 \h 13 HYPERLINK \l "_Toc14087378" LED and Electroluminescent Nightlights PAGEREF _Toc14087378 \h 15 HYPERLINK \l "_Toc14087379" Holiday Lights PAGEREF _Toc14087379 \h 17 HYPERLINK \l "_Toc14087380" 2.2HVAC PAGEREF _Toc14087380 \h 19 HYPERLINK \l "_Toc14087381" High Efficiency Equipment: ASHP, CAC, GSHP, PTAC, PTHP PAGEREF _Toc14087381 \h 19 HYPERLINK \l "_Toc14087382" High Efficiency Equipment: Ductless Heat Pumps with Midstream Delivery Option PAGEREF _Toc14087382 \h 24 HYPERLINK \l "_Toc14087383" ECM Circulation Fans PAGEREF _Toc14087383 \h 32 HYPERLINK \l "_Toc14087384" GSHP Desuperheaters PAGEREF _Toc14087384 \h 34 HYPERLINK \l "_Toc14087385" Air Conditioner & Heat Pump Maintenance PAGEREF _Toc14087385 \h 36 HYPERLINK \l "_Toc14087386" Fuel Switching: Electric Heat to Gas/Propane/Oil Heat PAGEREF _Toc14087386 \h 39 HYPERLINK \l "_Toc14087387" ENERGY STAR Room Air Conditioners PAGEREF _Toc14087387 \h 42 HYPERLINK \l "_Toc14087388" Room AC (RAC) Retirement PAGEREF _Toc14087388 \h 45 HYPERLINK \l "_Toc14087389" Duct Sealing & Duct Insulation PAGEREF _Toc14087389 \h 49 HYPERLINK \l "_Toc14087390" Air Handler Filter Whistles PAGEREF _Toc14087390 \h 53 HYPERLINK \l "_Toc14087391" ENERGY STAR? Certified Connected Thermostats PAGEREF _Toc14087391 \h 55 HYPERLINK \l "_Toc14087392" Furnace Maintenance PAGEREF _Toc14087392 \h 62 HYPERLINK \l "_Toc14087393" 2.3Domestic Hot Water PAGEREF _Toc14087393 \h 64 HYPERLINK \l "_Toc14087394" Heat Pump Water Heaters PAGEREF _Toc14087394 \h 64 HYPERLINK \l "_Toc14087395" Solar Water Heaters PAGEREF _Toc14087395 \h 70 HYPERLINK \l "_Toc14087396" Fuel Switching: Electric Resistance to Fossil Fuel Water Heater PAGEREF _Toc14087396 \h 73 HYPERLINK \l "_Toc14087397" Water Heater Tank Wrap PAGEREF _Toc14087397 \h 77 HYPERLINK \l "_Toc14087398" Water Heater Temperature Setback PAGEREF _Toc14087398 \h 80 HYPERLINK \l "_Toc14087399" Water Heater Pipe Insulation PAGEREF _Toc14087399 \h 83 HYPERLINK \l "_Toc14087400" Low Flow Faucet Aerators PAGEREF _Toc14087400 \h 85 HYPERLINK \l "_Toc14087401" Low Flow Showerheads PAGEREF _Toc14087401 \h 90 HYPERLINK \l "_Toc14087402" Thermostatic Shower Restriction Valves PAGEREF _Toc14087402 \h 95 HYPERLINK \l "_Toc14087403" Drain Water Heat Recovery Units PAGEREF _Toc14087403 \h 99 HYPERLINK \l "_Toc14087404" 2.4Appliances PAGEREF _Toc14087404 \h 103 HYPERLINK \l "_Toc14087405" ENERGY STAR Refrigerators PAGEREF _Toc14087405 \h 103 HYPERLINK \l "_Toc14087406" ENERGY STAR Freezers PAGEREF _Toc14087406 \h 111 HYPERLINK \l "_Toc14087407" Refrigerator / Freezer Recycling with and without Replacement PAGEREF _Toc14087407 \h 115 HYPERLINK \l "_Toc14087408" ENERGY STAR Clothes Washers PAGEREF _Toc14087408 \h 121 HYPERLINK \l "_Toc14087409" ENERGY STAR Clothes Dryers PAGEREF _Toc14087409 \h 125 HYPERLINK \l "_Toc14087410" Heat Pump Clothes Dryers PAGEREF _Toc14087410 \h 128 HYPERLINK \l "_Toc14087411" Fuel Switching: Electric Clothes Dryer to Gas Clothes Dryer PAGEREF _Toc14087411 \h 131 HYPERLINK \l "_Toc14087412" ENERGY STAR Dishwashers PAGEREF _Toc14087412 \h 133 HYPERLINK \l "_Toc14087413" ENERGY STAR Dehumidifiers PAGEREF _Toc14087413 \h 136 HYPERLINK \l "_Toc14087414" Dehumidifier Retirement PAGEREF _Toc14087414 \h 139 HYPERLINK \l "_Toc14087415" ENERGY STAR Ceiling Fans PAGEREF _Toc14087415 \h 142 HYPERLINK \l "_Toc14087416" ENERGY STAR Air Purifiers PAGEREF _Toc14087416 \h 145 HYPERLINK \l "_Toc14087417" 2.5Consumer Electronics PAGEREF _Toc14087417 \h 147 HYPERLINK \l "_Toc14087418" ENERGY STAR Office Equipment PAGEREF _Toc14087418 \h 147 HYPERLINK \l "_Toc14087419" Advanced Power Strips PAGEREF _Toc14087419 \h 151 HYPERLINK \l "_Toc14087420" 2.6Building Shell PAGEREF _Toc14087420 \h 154 HYPERLINK \l "_Toc14087421" Residential Air Sealing PAGEREF _Toc14087421 \h 154 HYPERLINK \l "_Toc14087422" Weather Stripping, Caulking, and Outlet Gaskets PAGEREF _Toc14087422 \h 159 HYPERLINK \l "_Toc14087423" Ceiling/Attic, Wall, Floor and Rim Joist Insulation PAGEREF _Toc14087423 \h 165 HYPERLINK \l "_Toc14087424" Basement or Crawl Space Wall Insulation PAGEREF _Toc14087424 \h 170 HYPERLINK \l "_Toc14087425" ENERGY STAR Windows PAGEREF _Toc14087425 \h 175 HYPERLINK \l "_Toc14087426" Residential Window Repair PAGEREF _Toc14087426 \h 178 HYPERLINK \l "_Toc14087427" 2.7Whole Home PAGEREF _Toc14087427 \h 181 HYPERLINK \l "_Toc14087428" Residential New Construction PAGEREF _Toc14087428 \h 181 HYPERLINK \l "_Toc14087429" ENERGY STAR Manufactured Homes PAGEREF _Toc14087429 \h 188 HYPERLINK \l "_Toc14087430" Home Energy Reports PAGEREF _Toc14087430 \h 193 HYPERLINK \l "_Toc14087431" 2.8Miscellaneous PAGEREF _Toc14087431 \h 197 HYPERLINK \l "_Toc14087432" Variable Speed Pool Pumps PAGEREF _Toc14087432 \h 197 HYPERLINK \l "_Toc14087433" 2.9Demand Response PAGEREF _Toc14087433 \h 200 HYPERLINK \l "_Toc14087434" Direct Load Control and Behavior-Based Demand Response Programs PAGEREF _Toc14087434 \h 200List of Figures TOC \h \z \c "Figure" HYPERLINK \l "_Toc423087110" Figure 21: Daily Load Shapes for Hot Water Measurers PAGEREF _Toc423087110 \h 115 HYPERLINK \l "_Toc423087111" Figure 22: Daily Load Shapes for Hot Water Measures PAGEREF _Toc423087111 \h 121 HYPERLINK \l "_Toc423087112" Figure 23: Daily Load Shapes for Hot Water Measures PAGEREF _Toc423087112 \h 126 HYPERLINK \l "_Toc423087113" Figure 24: Uo Baseline Requirements PAGEREF _Toc423087113 \h 201 HYPERLINK \l "_Toc423087114" Figure 31: Load shapes for hot water in four commercial building types PAGEREF _Toc423087114 \h 332 HYPERLINK \l "_Toc423087115" Figure 32: Energy to demand factors for four commercial building types PAGEREF _Toc423087115 \h 332 HYPERLINK \l "_Toc423087116" Figure 33: Dependence of COP on Outdoor Wetbulb Temperature PAGEREF _Toc423087116 \h 334 HYPERLINK \l "_Toc423087117" Figure 34: Load shapes for hot water in four commercial building types PAGEREF _Toc423087117 \h 340 HYPERLINK \l "_Toc423087118" Figure 35: Energy to demand factors for four commercial building types. PAGEREF _Toc423087118 \h 341 HYPERLINK \l "_Toc423087119" Figure 36: Load shapes for hot water in four commercial building types PAGEREF _Toc423087119 \h 345 HYPERLINK \l "_Toc423087120" Figure 37: Energy to demand factors for four commercial building types. PAGEREF _Toc423087120 \h 346 HYPERLINK \l "_Toc423087121" Figure 38: Load Shapes for Hot Water in Four Commercial Building Types PAGEREF _Toc423087121 \h 351 HYPERLINK \l "_Toc423087122" Figure 39: Energy to Demand Factors for Four Commercial Building Types PAGEREF _Toc423087122 \h 351 HYPERLINK \l "_Toc423087123" Figure 310: Load Shapes for Hot Water in Four Commercial Building Types PAGEREF _Toc423087123 \h 357 HYPERLINK \l "_Toc423087124" Figure 311: Energy to Demand Factors for Four Commercial Building Types PAGEREF _Toc423087124 \h 357 HYPERLINK \l "_Toc423087125" Figure 312: Dependence of COP on Outdoor Wetbulb Temperature PAGEREF _Toc423087125 \h 359 HYPERLINK \l "_Toc423087126" Figure 313: Utilization factor for a sample week in July PAGEREF _Toc423087126 \h 421 HYPERLINK \l "_Toc423087127" Figure 41: Typical Dairy Vacuum Pump Coincident Peak Demand Reduction PAGEREF _Toc423087127 \h 500 HYPERLINK \l "_Toc12609515" Figure 21: Daily Load Shapes for Hot Water MeasuresSource 2 PAGEREF _Toc12609515 \h 87 HYPERLINK \l "_Toc12609516" Figure 22: Daily Load Shapes for Hot Water MeasuresSource 2 PAGEREF _Toc12609516 \h 92 HYPERLINK \l "_Toc12609517" Figure 23: Daily Load Shapes for Hot Water MeasuresSource 2 PAGEREF _Toc12609517 \h 97 HYPERLINK \l "_Toc12609518" Figure 22: Daily Load Shapes for Hot Water MeasuresSource 2 PAGEREF _Toc12609518 \h 101 HYPERLINK \l "_Toc12609519" Figure 24: Example Regressions for Ductless Mini-splits in Climate Region A PAGEREF _Toc12609519 \h 156 HYPERLINK \l "_Toc12609520" Figure 25: Uo Baseline Requirements PAGEREF _Toc12609520 \h 191List of Tables TOC \h \z \c "Table" HYPERLINK \l "_Toc423087448" Table 11: End-Use Categories and Measures in the TRM PAGEREF _Toc423087448 \h 3 HYPERLINK \l "_Toc423087449" Table 12: kWh Savings Thresholds PAGEREF _Toc423087449 \h 4 HYPERLINK \l "_Toc423087450" Table 13: Periods for Energy Savings and Coincident Peak Demand Savings PAGEREF _Toc423087450 \h 10 HYPERLINK \l "_Toc423087451" Table 14: Line Loss Factors Used in the EE and DR Potential Studies As Provided by the EDCs PAGEREF _Toc423087451 \h 13 HYPERLINK \l "_Toc423087452" Table 21: ENERGY STAR Lighting - References PAGEREF _Toc423087452 \h 19 HYPERLINK \l "_Toc423087453" Table 22: Baseline Wattage by Lumen Output for General Service Lamps (GSL) PAGEREF _Toc423087453 \h 20 HYPERLINK \l "_Toc423087454" Table 23: Baseline Wattage by Lumen Output for Specialty Lamps PAGEREF _Toc423087454 \h 21 HYPERLINK \l "_Toc423087455" Table 24. Default Baseline Wattage for Reflector Bulbs PAGEREF _Toc423087455 \h 22 HYPERLINK \l "_Toc423087456" Table 25: Bulb and Fixture Hours of Use and Peak Coincidence Factor Values, by Room PAGEREF _Toc423087456 \h 22 HYPERLINK \l "_Toc423087457" Table 26: CFL and LED Energy and Demand HVAC Interactive Effects by EDC PAGEREF _Toc423087457 \h 23 HYPERLINK \l "_Toc423087458" Table 27: Residential Occupancy Sensors Calculations Assumptions PAGEREF _Toc423087458 \h 25 HYPERLINK \l "_Toc423087459" Table 28: Electroluminescent Nightlight - References PAGEREF _Toc423087459 \h 27 HYPERLINK \l "_Toc423087460" Table 29: LED Nightlight - References PAGEREF _Toc423087460 \h 29 HYPERLINK \l "_Toc423087461" Table 210: Holiday Lights Assumptions PAGEREF _Toc423087461 \h 32 HYPERLINK \l "_Toc423087462" Table 211: Residential Electric HVAC Measure Baseline Conditions PAGEREF _Toc423087462 \h 34 HYPERLINK \l "_Toc423087463" Table 212: Residential Electric HVAC - References PAGEREF _Toc423087463 \h 38 HYPERLINK \l "_Toc423087464" Table 213: Alternate Cooling EFLH PAGEREF _Toc423087464 \h 42 HYPERLINK \l "_Toc423087465" Table 214: Alternate Heating EFLH PAGEREF _Toc423087465 \h 42 HYPERLINK \l "_Toc423087466" Table 215: Default values for algorithm terms, Fuel Switching, Electric Heat to Gas Heat PAGEREF _Toc423087466 \h 47 HYPERLINK \l "_Toc423087467" Table 216: Alternate Heating EFLH for Air Source Heat Pumps PAGEREF _Toc423087467 \h 49 HYPERLINK \l "_Toc423087468" Table 217: Alternate Heating EFLH for Electric Furnaces PAGEREF _Toc423087468 \h 49 HYPERLINK \l "_Toc423087469" Table 218: Alternate Heating EFLH for Electric Baseboard Heating PAGEREF _Toc423087469 \h 49 HYPERLINK \l "_Toc423087470" Table 219: Alternate Heating EFLH for Fossil Fuel Furnaces PAGEREF _Toc423087470 \h 49 HYPERLINK \l "_Toc423087471" Table 220: Alternate Heating EFLH for Fossil Fuel Boilers PAGEREF _Toc423087471 \h 50 HYPERLINK \l "_Toc423087472" Table 221: DHP – Values and References PAGEREF _Toc423087472 \h 53 HYPERLINK \l "_Toc423087473" Table 222: DHP – Heating Zones PAGEREF _Toc423087473 \h 55 HYPERLINK \l "_Toc423087474" Table 223: ENERGY STAR Room AC - References PAGEREF _Toc423087474 \h 58 HYPERLINK \l "_Toc423087475" Table 224: RAC (without reverse cycle) Federal Minimum Efficiency and ENERGY STAR Version 4.0 Standards PAGEREF _Toc423087475 \h 58 HYPERLINK \l "_Toc423087476" Table 225: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.0 Standards PAGEREF _Toc423087476 \h 59 HYPERLINK \l "_Toc423087477" Table 226: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.0 Standards PAGEREF _Toc423087477 \h 59 HYPERLINK \l "_Toc423087478" Table 227: Deemed EFLH and Default Energy Savings PAGEREF _Toc423087478 \h 59 HYPERLINK \l "_Toc423087479" Table 228: Room AC Retirement Calculation Assumptions PAGEREF _Toc423087479 \h 63 HYPERLINK \l "_Toc423087480" Table 229: RAC Retirement-Only EFLH and Energy Savings by City PAGEREF _Toc423087480 \h 63 HYPERLINK \l "_Toc423087481" Table 230: Preliminary Results from ComEd RAC Recycling Evaluation PAGEREF _Toc423087481 \h 64 HYPERLINK \l "_Toc423087482" Table 231: Duct Sealing – Values and References PAGEREF _Toc423087482 \h 69 HYPERLINK \l "_Toc423087483" Table 232: Furnace Whistle - References PAGEREF _Toc423087483 \h 74 HYPERLINK \l "_Toc423087484" Table 233: EFLH for Various Cities in Pennsylvania (TRM Data) PAGEREF _Toc423087484 \h 74 HYPERLINK \l "_Toc423087485" Table 234: Assumptions and Results of Deemed Savings Calculations (Pittsburgh, PA) PAGEREF _Toc423087485 \h 74 HYPERLINK \l "_Toc423087486" Table 235: Assumptions and Results of Deemed Savings Calculations (Philadelphia, PA) PAGEREF _Toc423087486 \h 75 HYPERLINK \l "_Toc423087487" Table 236: Assumptions and Results of Deemed Savings Calculations (Harrisburg, PA) PAGEREF _Toc423087487 \h 75 HYPERLINK \l "_Toc423087488" Table 237: Assumptions and Results of Deemed Savings Calculations (Erie, PA) PAGEREF _Toc423087488 \h 75 HYPERLINK \l "_Toc423087489" Table 238: Assumptions and Results of Deemed Savings Calculations (Allentown, PA) PAGEREF _Toc423087489 \h 75 HYPERLINK \l "_Toc423087490" Table 239: Assumptions and Results of Deemed Savings Calculations (Scranton, PA) PAGEREF _Toc423087490 \h 76 HYPERLINK \l "_Toc423087491" Table 240: Assumptions and Results of Deemed Savings Calculations (Williamsport, PA) PAGEREF _Toc423087491 \h 76 HYPERLINK \l "_Toc423087492" Table 241: Residential Electric HVAC Calculation Assumptions PAGEREF _Toc423087492 \h 79 HYPERLINK \l "_Toc423087493" Table 242: Whole House Fan Deemed Energy Savings by PA City PAGEREF _Toc423087493 \h 82 HYPERLINK \l "_Toc423087494" Table 243: Variables for Residential Multifamily Packaged Terminal Systems PAGEREF _Toc423087494 \h 84 HYPERLINK \l "_Toc423087495" Table 244: PTS Baseline Efficiencies PAGEREF _Toc423087495 \h 85 HYPERLINK \l "_Toc423087496" Table 245: Heat Pump Water Heater Calculation Assumptions PAGEREF _Toc423087496 \h 89 HYPERLINK \l "_Toc423087497" Table 246: Equivalent Full Load Hours for Cooling Season PAGEREF _Toc423087497 \h 90 HYPERLINK \l "_Toc423087498" Table 247: Equivalent Full Load Hours for Heating Season PAGEREF _Toc423087498 \h 90 HYPERLINK \l "_Toc423087499" Table 248: Minimum Baseline Energy Factors Based on Tank Size PAGEREF _Toc423087499 \h 90 HYPERLINK \l "_Toc423087500" Table 249: EF De-rating Factor for Various Installation Locations PAGEREF _Toc423087500 \h 91 HYPERLINK \l "_Toc423087501" Table 250: Solar Water Heater Calculation Assumptions PAGEREF _Toc423087501 \h 94 HYPERLINK \l "_Toc423087502" Table 251: Minimum Baseline Energy Factors Based on Tank Size PAGEREF _Toc423087502 \h 94 HYPERLINK \l "_Toc423087503" Table 252: Calculation Assumptions for Fuel Switching Electric Resistance to Fossil Fuel Water Heater PAGEREF _Toc423087503 \h 97 HYPERLINK \l "_Toc423087504" Table 253: Minimum Baseline Energy Factors based on Tank Size PAGEREF _Toc423087504 \h 98 HYPERLINK \l "_Toc423087505" Table 254: Energy Savings and Demand Reductions for Fuel Switching, Domestic Hot Water Electric to Fossil Fuel PAGEREF _Toc423087505 \h 98 HYPERLINK \l "_Toc423087506" Table 255: Fuel Consumption for Fuel Switching, Domestic Hot Water Electric to Fossil Fuel PAGEREF _Toc423087506 \h 99 HYPERLINK \l "_Toc423087507" Table 256: Calculation Assumptions for Heat Pump Water Heater to Fossil Fuel Water Heaters PAGEREF _Toc423087507 \h 102 HYPERLINK \l "_Toc423087508" Table 257: Equivalent Full Load Hours for Cooling Season PAGEREF _Toc423087508 \h 103 HYPERLINK \l "_Toc423087509" Table 258: Equivalent Full Load Hours for Heating Season PAGEREF _Toc423087509 \h 103 HYPERLINK \l "_Toc423087510" Table 259: EF De-rating Factor for Various Installation Locations PAGEREF _Toc423087510 \h 104 HYPERLINK \l "_Toc423087511" Table 260: Energy Savings and Demand Reductions for Heat Pump Water Heater to Fossil Fuel Water Heater in Unknown Installation Location PAGEREF _Toc423087511 \h 104 HYPERLINK \l "_Toc423087512" Table 261: Gas, Oil, Propane Consumption for Heat Pump Water Heater to Fossil Fuel Water Heater PAGEREF _Toc423087512 \h 104 HYPERLINK \l "_Toc423087513" Table 262: Water Heater Tank Wrap – Default Values PAGEREF _Toc423087513 \h 106 HYPERLINK \l "_Toc423087514" Table 263: Deemed savings by water heater capacity PAGEREF _Toc423087514 \h 107 HYPERLINK \l "_Toc423087515" Table 264: Water Heater Temperature Setback Assumptions PAGEREF _Toc423087515 \h 110 HYPERLINK \l "_Toc423087516" Table 265: Default Energy Savings and Demand Reductions PAGEREF _Toc423087516 \h 111 HYPERLINK \l "_Toc423087517" Table 266: Low Flow Faucet Aerator Calculation Assumptions PAGEREF _Toc423087517 \h 116 HYPERLINK \l "_Toc423087518" Table 267: Low Flow Showerhead Calculation Assumptions PAGEREF _Toc423087518 \h 121 HYPERLINK \l "_Toc423087519" Table 268: Assumptions for Thermostatic Shower Restriction Valve PAGEREF _Toc423087519 \h 126 HYPERLINK \l "_Toc423087520" Table 269: Restriction Valve Calculation Assumptions PAGEREF _Toc423087520 \h 127 HYPERLINK \l "_Toc423087521" Table 270: Assumptions for ENERGY STAR Refrigerators PAGEREF _Toc423087521 \h 130 HYPERLINK \l "_Toc423087522" Table 271: Federal Standard and ENERGY STAR Refrigerators Maximum Annual Energy Consumption if Configuration and Volume Known PAGEREF _Toc423087522 \h 130 HYPERLINK \l "_Toc423087523" Table 272: Default Savings Values for ENERGY STAR Refrigerators PAGEREF _Toc423087523 \h 132 HYPERLINK \l "_Toc423087524" Table 273: ENERGY STAR Most Efficient Annual Energy Usage if Configuration and Volume Known PAGEREF _Toc423087524 \h 134 HYPERLINK \l "_Toc423087525" Table 274: Default Savings Values for ENERGY STAR Most Efficient Refrigerators PAGEREF _Toc423087525 \h 135 HYPERLINK \l "_Toc423087526" Table 275: Federal Standard and ENERGY STAR Freezers Maximum Annual Energy Consumption if Configuration and Volume Known PAGEREF _Toc423087526 \h 138 HYPERLINK \l "_Toc423087527" Table 276: Default Savings Values for ENERGY STAR Freezers PAGEREF _Toc423087527 \h 139 HYPERLINK \l "_Toc423087528" Table 277: Calculation Assumptions and Definitions for Refrigerator and Freezer Recycling PAGEREF _Toc423087528 \h 143 HYPERLINK \l "_Toc423087529" Table 278: Default values for Residential Refrigerator Recycling UEC PAGEREF _Toc423087529 \h 145 HYPERLINK \l "_Toc423087530" Table 279: Default values for Residential Freezer Recycling UEC PAGEREF _Toc423087530 \h 145 HYPERLINK \l "_Toc423087531" Table 280: ENERGY STAR Clothes Washers - References PAGEREF _Toc423087531 \h 148 HYPERLINK \l "_Toc423087532" Table 281: Federal Standards for Clothes Washers PAGEREF _Toc423087532 \h 150 HYPERLINK \l "_Toc423087533" Table 282: ENERGY STAR Product Specifications for Clothes Washers PAGEREF _Toc423087533 \h 150 HYPERLINK \l "_Toc423087534" Table 283: Default Clothes Washer Savings for PY8 and PY9 PAGEREF _Toc423087534 \h 150 HYPERLINK \l "_Toc423087535" Table 284: Calculation Assumptions for ENERGY STAR Clothes Dryers PAGEREF _Toc423087535 \h 153 HYPERLINK \l "_Toc423087536" Table 285: Combined Energy Factor for baseline and ENERGY STAR units PAGEREF _Toc423087536 \h 153 HYPERLINK \l "_Toc423087537" Table 286: Default Energy Savings and Demand Reductions for ENERGY STAR Clothes Dryers PAGEREF _Toc423087537 \h 153 HYPERLINK \l "_Toc423087538" Table 287 Electric Clothes Dryer to Gas Clothes Dryer – Values and Resources PAGEREF _Toc423087538 \h 155 HYPERLINK \l "_Toc423087539" Table 288: ENERGY STAR Dishwashers - References PAGEREF _Toc423087539 \h 158 HYPERLINK \l "_Toc423087540" Table 289: Federal Standard and ENERGY STAR v 5.0 Residential Dishwasher Standard PAGEREF _Toc423087540 \h 159 HYPERLINK \l "_Toc423087541" Table 290: Default Dishwasher Energy Savings PAGEREF _Toc423087541 \h 159 HYPERLINK \l "_Toc423087542" Table 291: ENERGY STAR Dehumidifier Calculation Assumptions PAGEREF _Toc423087542 \h 162 HYPERLINK \l "_Toc423087543" Table 292: Dehumidifier Minimum Federal Efficiency and ENERGY STAR Standards PAGEREF _Toc423087543 \h 162 HYPERLINK \l "_Toc423087544" Table 293: Dehumidifier Default Energy Savings PAGEREF _Toc423087544 \h 162 HYPERLINK \l "_Toc423087545" Table 294: ENERGY STAR Water Coolers – References PAGEREF _Toc423087545 \h 165 HYPERLINK \l "_Toc423087546" Table 295: Default Savings for ENERGY STAR Water Coolers PAGEREF _Toc423087546 \h 165 HYPERLINK \l "_Toc423087547" Table 296: Calculation Assumptions for ENERGY STAR Ceiling Fans PAGEREF _Toc423087547 \h 167 HYPERLINK \l "_Toc423087548" Table 297: Energy Savings and Demand Reductions for ENERGY STAR Ceiling Fans PAGEREF _Toc423087548 \h 168 HYPERLINK \l "_Toc423087549" Table 298: ENERGY STAR TVs - References PAGEREF _Toc423087549 \h 170 HYPERLINK \l "_Toc423087550" Table 299: TV power consumption PAGEREF _Toc423087550 \h 171 HYPERLINK \l "_Toc423087551" Table 2100: Deemed energy savings for ENERGY STAR Version 7.0 and ENERGY STAR Most Efficient TVs. PAGEREF _Toc423087551 \h 171 HYPERLINK \l "_Toc423087552" Table 2101: Deemed coincident demand savings for ENERGY STAR Version 7.0 and ENERGY STAR Most Efficient TVs PAGEREF _Toc423087552 \h 172 HYPERLINK \l "_Toc423087553" Table 2102: ENERGY STAR Office Equipment - References PAGEREF _Toc423087553 \h 174 HYPERLINK \l "_Toc423087554" Table 2103: ENERGY STAR Office Equipment Energy and Demand Savings Values PAGEREF _Toc423087554 \h 175 HYPERLINK \l "_Toc423087555" Table 2104: Smart Strip Plug Outlet Calculation Assumptions PAGEREF _Toc423087555 \h 178 HYPERLINK \l "_Toc423087556" Table 2105: Default Savings for Smart Strip Plug Outlets PAGEREF _Toc423087556 \h 179 HYPERLINK \l "_Toc423087557" Table 2106: Default values for algorithm terms, Ceiling/Attic and Wall Insulation PAGEREF _Toc423087557 \h 182 HYPERLINK \l "_Toc423087558" Table 2107: EFLH, CDD and HDD by City PAGEREF _Toc423087558 \h 185 HYPERLINK \l "_Toc423087559" Table 2108: ENERGY STAR Windows - References PAGEREF _Toc423087559 \h 188 HYPERLINK \l "_Toc423087560" Table 2109: Residential New Construction – References PAGEREF _Toc423087560 \h 192 HYPERLINK \l "_Toc423087561" Table 2110: Baseline Insulation and Fenestration Requirements by Component (Equivalent U-Factors) PAGEREF _Toc423087561 \h 192 HYPERLINK \l "_Toc423087562" Table 2111: Energy Star Homes - User Defined Reference Home PAGEREF _Toc423087562 \h 193 HYPERLINK \l "_Toc423087563" Table 2112: Home Performance with ENERGY STAR - References PAGEREF _Toc423087563 \h 197 HYPERLINK \l "_Toc423087564" Table 2113: ENERGY STAR Manufactured Homes– References PAGEREF _Toc423087564 \h 200 HYPERLINK \l "_Toc423087565" Table 2114: ENERGY STAR Manufactured Homes - User Defined Reference Home PAGEREF _Toc423087565 \h 201 HYPERLINK \l "_Toc423087566" Table 2115: Residential Air Sealing – Values and References PAGEREF _Toc423087566 \h 205 HYPERLINK \l "_Toc423087567" Table 2116: Default Unit Energy Savings per Reduced CFM50 for Air Sealing PAGEREF _Toc423087567 \h 205 HYPERLINK \l "_Toc423087568" Table 2117: Default Unit Coincident Peak Demand Savings per Reduced CFM50 for Air Sealing PAGEREF _Toc423087568 \h 206 HYPERLINK \l "_Toc423087569" Table 2118: Assumptions for Residential Crawl Space Insulation PAGEREF _Toc423087569 \h 208 HYPERLINK \l "_Toc423087570" Table 2119: Below-grade R-values PAGEREF _Toc423087570 \h 209 HYPERLINK \l "_Toc423087571" Table 2120: CDD by City PAGEREF _Toc423087571 \h 209 HYPERLINK \l "_Toc423087572" Table 2121: HDD by City PAGEREF _Toc423087572 \h 209 HYPERLINK \l "_Toc423087573" Table 2122: Efficiency of Heating System PAGEREF _Toc423087573 \h 210 HYPERLINK \l "_Toc423087574" Table 2123: EFLH by City PAGEREF _Toc423087574 \h 210 HYPERLINK \l "_Toc423087575" Table 2124: Default values for algorithm terms, Residential Rim Joist Insulation PAGEREF _Toc423087575 \h 213 HYPERLINK \l "_Toc423087576" Table 2125 CDD by City PAGEREF _Toc423087576 \h 214 HYPERLINK \l "_Toc423087577" Table 2126: HDD by City PAGEREF _Toc423087577 \h 214 HYPERLINK \l "_Toc423087578" Table 2127: Efficiency of Heating System PAGEREF _Toc423087578 \h 214 HYPERLINK \l "_Toc423087579" Table 2128: EFLH by City PAGEREF _Toc423087579 \h 215 HYPERLINK \l "_Toc423087580" Table 2129: Pool Pump Load Shifting Assumptions PAGEREF _Toc423087580 \h 217 HYPERLINK \l "_Toc423087581" Table 2130: Single Speed Pool Pump Specification PAGEREF _Toc423087581 \h 218 HYPERLINK \l "_Toc423087582" Table 2131: Residential VFD Pool Pumps Calculations Assumptions PAGEREF _Toc423087582 \h 221 HYPERLINK \l "_Toc423087583" Table 2132: Single Speed Pool Pump Specification PAGEREF _Toc423087583 \h 222 HYPERLINK \l "_Toc423087584" Table 31: EISA 2007 Standards for General Service Fluorescent Bulbs PAGEREF _Toc423087584 \h 226 HYPERLINK \l "_Toc423087585" Table 32: Assumed T-8 Baseline Fixtures for Removed T-12 Fixtures PAGEREF _Toc423087585 \h 226 HYPERLINK \l "_Toc423087586" Table 33: Variables for Retrofit Lighting PAGEREF _Toc423087586 \h 227 HYPERLINK \l "_Toc423087587" Table 34: Savings Control Factors Assumptions PAGEREF _Toc423087587 \h 228 HYPERLINK \l "_Toc423087588" Table 35: Lighting HOU and CF by Building Type for Screw-Based Bulbs PAGEREF _Toc423087588 \h 229 HYPERLINK \l "_Toc423087589" Table 36: Lighting HOU and CF by Building Type for Other General Service Lighting PAGEREF _Toc423087589 \h 229 HYPERLINK \l "_Toc423087590" Table 37: Street lighting HOU by EDC PAGEREF _Toc423087590 \h 230 HYPERLINK \l "_Toc423087591" Table 38: Interactive Factors for All Bulb Types PAGEREF _Toc423087591 \h 230 HYPERLINK \l "_Toc423087592" Table 39: Interactive Factors for Comfort Cooled Spaces for All Building Types PAGEREF _Toc423087592 \h 231 HYPERLINK \l "_Toc423087593" Table 310: Variables for New Construction Lighting PAGEREF _Toc423087593 \h 236 HYPERLINK \l "_Toc423087594" Table 311: Lighting Power Densities from ASHRAE 90.1-2007 Building Area Method PAGEREF _Toc423087594 \h 237 HYPERLINK \l "_Toc423087595" Table 312: Lighting Power Densities from ASHRAE 90.1-2007 Space-by-Space Method PAGEREF _Toc423087595 \h 238 HYPERLINK \l "_Toc423087596" Table 313: Baseline Exterior Lighting Power Densities PAGEREF _Toc423087596 \h 240 HYPERLINK \l "_Toc423087597" Table 314: Default Baseline Savings Control Factors Assumptions for New Construction Only PAGEREF _Toc423087597 \h 241 HYPERLINK \l "_Toc423087598" Table 315: Lighting Controls Assumptions PAGEREF _Toc423087598 \h 246 HYPERLINK \l "_Toc423087599" Table 316: Assumptions for LED Traffic Signals PAGEREF _Toc423087599 \h 248 HYPERLINK \l "_Toc423087600" Table 317: Default Values for Traffic Signal and Pedestrian Signage Upgrades PAGEREF _Toc423087600 \h 249 HYPERLINK \l "_Toc423087601" Table 318: LED Exit Signs Calculation Assumptions PAGEREF _Toc423087601 \h 251 HYPERLINK \l "_Toc423087602" Table 319: LED Exit Signs Calculation Assumptions PAGEREF _Toc423087602 \h 252 HYPERLINK \l "_Toc423087603" Table 320: LED Channel Signage Calculation Assumptions PAGEREF _Toc423087603 \h 255 HYPERLINK \l "_Toc423087604" Table 321: Power demand of baseline (neon and argon-mercury) and energy-efficient (LED) signs PAGEREF _Toc423087604 \h 256 HYPERLINK \l "_Toc423087605" Table 322: LED: Refrigeration Case Lighting – Values and References PAGEREF _Toc423087605 \h 258 HYPERLINK \l "_Toc423087606" Table 323: Variables for HVAC Systems PAGEREF _Toc423087606 \h 261 HYPERLINK \l "_Toc423087607" Table 324: HVAC Baseline Efficiencies PAGEREF _Toc423087607 \h 263 HYPERLINK \l "_Toc423087608" Table 325: Air Conditioning EFLHs for Pennsylvania Cities PAGEREF _Toc423087608 \h 265 HYPERLINK \l "_Toc423087609" Table 326: Air Conditioning Demand CFs for Pennsylvania Cities PAGEREF _Toc423087609 \h 266 HYPERLINK \l "_Toc423087610" Table 327: Heat Pump EFLHs for Pennsylvania Cities PAGEREF _Toc423087610 \h 267 HYPERLINK \l "_Toc423087611" Table 328: Electric Chiller Variables PAGEREF _Toc423087611 \h 270 HYPERLINK \l "_Toc423087612" Table 329: Electric Chiller Baseline Efficiencies (IECC 2009) PAGEREF _Toc423087612 \h 271 HYPERLINK \l "_Toc423087613" Table 330: Chiller EFLHs for Pennsylvania Cities PAGEREF _Toc423087613 \h 272 HYPERLINK \l "_Toc423087614" Table 331: Chiller Demand CFs for Pennsylvania Cities PAGEREF _Toc423087614 \h 272 HYPERLINK \l "_Toc423087615" Table 332: Water Source or Geothermal Heat Pump Baseline Assumptions PAGEREF _Toc423087615 \h 275 HYPERLINK \l "_Toc423087616" Table 333: Geothermal Heat Pump– Values and Assumptions PAGEREF _Toc423087616 \h 278 HYPERLINK \l "_Toc423087617" Table 334: Federal Baseline Motor Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc423087617 \h 281 HYPERLINK \l "_Toc423087618" Table 335: Ground/Water Loop Pump and Circulating Pump Efficiency PAGEREF _Toc423087618 \h 281 HYPERLINK \l "_Toc423087619" Table 336: Default Baseline Equipment Efficiencies PAGEREF _Toc423087619 \h 282 HYPERLINK \l "_Toc423087620" Table 337: DHP – Values and References PAGEREF _Toc423087620 \h 285 HYPERLINK \l "_Toc423087621" Table 338: Act 129 Sunset Dates for ENERGY STAR Furnaces PAGEREF _Toc423087621 \h 288 HYPERLINK \l "_Toc423087622" Table 339: ENERGY STAR Requirements for Furnaces and Boilers PAGEREF _Toc423087622 \h 289 HYPERLINK \l "_Toc423087623" Table 340: Variables for HVAC Systems PAGEREF _Toc423087623 \h 290 HYPERLINK \l "_Toc423087624" Table 341: HVAC Baseline Efficiency Values PAGEREF _Toc423087624 \h 291 HYPERLINK \l "_Toc423087625" Table 342: Refrigerant Charge Correction Calculations Assumptions PAGEREF _Toc423087625 \h 295 HYPERLINK \l "_Toc423087626" Table 343: Refrigerant charge correction COP degradation factor (RCF) for various relative charge adjustments for both TXV metered and non-TXV units. PAGEREF _Toc423087626 \h 296 HYPERLINK \l "_Toc423087627" Table 344: Variables for HVAC Systems PAGEREF _Toc423087627 \h 299 HYPERLINK \l "_Toc423087628" Table 345: RAC Federal Minimum Efficiency and ENERGY STAR Version 3.0 Standards PAGEREF _Toc423087628 \h 300 HYPERLINK \l "_Toc423087629" Table 346: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 3.0 Standards PAGEREF _Toc423087629 \h 300 HYPERLINK \l "_Toc423087630" Table 347: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 3.0 Standards PAGEREF _Toc423087630 \h 301 HYPERLINK \l "_Toc423087631" Table 348: Guest Room Occupancy Sensor – Values and References PAGEREF _Toc423087631 \h 303 HYPERLINK \l "_Toc423087632" Table 349: Energy Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc423087632 \h 303 HYPERLINK \l "_Toc423087633" Table 350: Energy Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc423087633 \h 303 HYPERLINK \l "_Toc423087634" Table 351: Peak Demand Savings for Guest Room Occupancy Sensors – Motels PAGEREF _Toc423087634 \h 304 HYPERLINK \l "_Toc423087635" Table 352: Peak Demand Savings for Guest Room Occupancy Sensors – Hotels PAGEREF _Toc423087635 \h 304 HYPERLINK \l "_Toc423087636" Table 353: Economizer – Values and References PAGEREF _Toc423087636 \h 307 HYPERLINK \l "_Toc423087637" Table 354: FCHr for PA Climate Zones and Various Operating Conditions PAGEREF _Toc423087637 \h 307 HYPERLINK \l "_Toc423087638" Table 355: Default HVAC Efficiencies for Non-Residential Buildings PAGEREF _Toc423087638 \h 308 HYPERLINK \l "_Toc423087639" Table 356: Building Mechanical System Variables for Premium Efficiency Motor Calculations PAGEREF _Toc423087639 \h 312 HYPERLINK \l "_Toc423087640" Table 357: Baseline Efficiencies for NEMA Design A and NEMA Design B Motors PAGEREF _Toc423087640 \h 313 HYPERLINK \l "_Toc423087641" Table 358: Baseline Motor Efficiencies for NEMA Design C Motors PAGEREF _Toc423087641 \h 314 HYPERLINK \l "_Toc423087642" Table 359: Default RHRS and CFs for Supply Fan Motors in Commercial Buildings PAGEREF _Toc423087642 \h 315 HYPERLINK \l "_Toc423087643" Table 360: Default RHRS and CFs for Chilled Water Pump (CHWP) Motors in Commercial Buildings PAGEREF _Toc423087643 \h 317 HYPERLINK \l "_Toc423087644" Table 361: Default RHRS and CFs for Cooling Tower Fan (CTF) Motors in Commercial Buildings PAGEREF _Toc423087644 \h 318 HYPERLINK \l "_Toc423087645" Table 362: Default RHRS and CFs for Heating Hot Water Pump (HHWP) Motors in Commercial Buildings PAGEREF _Toc423087645 \h 319 HYPERLINK \l "_Toc423087646" Table 363: Default RHRS and CFs for Condenser Water Pump Motors in Commercial Buildings PAGEREF _Toc423087646 \h 320 HYPERLINK \l "_Toc423087647" Table 364: Variables for VFD Calculations PAGEREF _Toc423087647 \h 322 HYPERLINK \l "_Toc423087648" Table 365: ESF and DSF for Typical Commercial VFD Installations PAGEREF _Toc423087648 \h 323 HYPERLINK \l "_Toc423087649" Table 366: ECM Circulating Fan – Values and References PAGEREF _Toc423087649 \h 326 HYPERLINK \l "_Toc423087650" Table 367: Default Motor Wattage (WATTSbase and WATTSee) for Circulating Fan PAGEREF _Toc423087650 \h 327 HYPERLINK \l "_Toc423087651" Table 368: VSD on Kitchen Exhaust Fan – Variables and References PAGEREF _Toc423087651 \h 329 HYPERLINK \l "_Toc423087652" Table 369: Typical water heating loads PAGEREF _Toc423087652 \h 331 HYPERLINK \l "_Toc423087653" Table 370: COP Adjustment Factors PAGEREF _Toc423087653 \h 333 HYPERLINK \l "_Toc423087654" Table 371: Heat Pump Water Heater Calculation Assumptions PAGEREF _Toc423087654 \h 335 HYPERLINK \l "_Toc423087655" Table 372: Minimum Baseline Energy Factor Based on Tank Size PAGEREF _Toc423087655 \h 336 HYPERLINK \l "_Toc423087656" Table 373: Energy Savings Algorithms PAGEREF _Toc423087656 \h 336 HYPERLINK \l "_Toc423087657" Table 374: Low Flow Pre-Rinse Sprayer Calculations Assumptions PAGEREF _Toc423087657 \h 342 HYPERLINK \l "_Toc423087658" Table 375: Low Flow Pre-Rinse Sprayer Calculations Assumptions PAGEREF _Toc423087658 \h 346 HYPERLINK \l "_Toc423087659" Table 376: Low Flow Pre-Rinse Sprayer Default Savings PAGEREF _Toc423087659 \h 347 HYPERLINK \l "_Toc423087660" Table 377: Commercial Water Heater Fuel Switch Calculation Assumptions PAGEREF _Toc423087660 \h 352 HYPERLINK \l "_Toc423087661" Table 378: Minimum Baseline Energy Factor Based on Tank Size PAGEREF _Toc423087661 \h 353 HYPERLINK \l "_Toc423087662" Table 379: Water Heating Fuel Switch Energy Savings Algorithms PAGEREF _Toc423087662 \h 353 HYPERLINK \l "_Toc423087663" Table 380: COP Adjustment Factors PAGEREF _Toc423087663 \h 358 HYPERLINK \l "_Toc423087664" Table 381: Heat Pump Water Heater Fuel Switch Calculation Assumptions PAGEREF _Toc423087664 \h 360 HYPERLINK \l "_Toc423087665" Table 382: Minimum Baseline Energy Factors Based on Tank Size PAGEREF _Toc423087665 \h 361 HYPERLINK \l "_Toc423087666" Table 383: Energy Savings Algorithms PAGEREF _Toc423087666 \h 361 HYPERLINK \l "_Toc423087667" Table 384: Refrigeration Cases - References PAGEREF _Toc423087667 \h 365 HYPERLINK \l "_Toc423087668" Table 385: Refrigeration Case Efficiencies (PY8) PAGEREF _Toc423087668 \h 365 HYPERLINK \l "_Toc423087669" Table 386: Refrigeration Case Savings (PY8) PAGEREF _Toc423087669 \h 366 HYPERLINK \l "_Toc423087670" Table 387: Freezer Case Savings (PY8) PAGEREF _Toc423087670 \h 366 HYPERLINK \l "_Toc423087671" Table 88: Refrigerator and Freezer Case Baseline Efficiencies (PY9-PY12) PAGEREF _Toc423087671 \h 366 HYPERLINK \l "_Toc423087672" Table 389: Variables for High-Efficiency Evaporator Fan Motor PAGEREF _Toc423087672 \h 369 HYPERLINK \l "_Toc423087673" Table 390: Variables for HE Evaporator Fan Motor PAGEREF _Toc423087673 \h 370 HYPERLINK \l "_Toc423087674" Table 391: PSC to ECM Deemed Savings PAGEREF _Toc423087674 \h 370 HYPERLINK \l "_Toc423087675" Table 392: Shaded Pole to ECM Deemed Savings PAGEREF _Toc423087675 \h 371 HYPERLINK \l "_Toc423087676" Table 393: Variables for High-Efficiency Evaporator Fan Motor PAGEREF _Toc423087676 \h 373 HYPERLINK \l "_Toc423087677" Table 394: Variables for HE Evaporator Fan Motor PAGEREF _Toc423087677 \h 374 HYPERLINK \l "_Toc423087678" Table 395: PSC to ECM Deemed Savings PAGEREF _Toc423087678 \h 374 HYPERLINK \l "_Toc423087679" Table 396: Shaded Pole to ECM Deemed Savings PAGEREF _Toc423087679 \h 375 HYPERLINK \l "_Toc423087680" Table 397: Evaporator Fan Controller Calculations Assumptions PAGEREF _Toc423087680 \h 378 HYPERLINK \l "_Toc423087681" Table 398: Floating Head Pressure Controls – Values and References PAGEREF _Toc423087681 \h 381 HYPERLINK \l "_Toc423087682" Table 399: Annual Savings kWh/HP by Location PAGEREF _Toc423087682 \h 382 HYPERLINK \l "_Toc423087683" Table 3100: Default Condenser Type Annual Savings kWh/HP by Location PAGEREF _Toc423087683 \h 382 HYPERLINK \l "_Toc423087684" Table 3101 Anti-Sweat Heater Controls – Values and References PAGEREF _Toc423087684 \h 385 HYPERLINK \l "_Toc423087685" Table 3102: Recommended Fully Deemed Impact Estimates PAGEREF _Toc423087685 \h 386 HYPERLINK \l "_Toc423087686" Table 3103: Evaporator Coil Defrost Control – Values and References PAGEREF _Toc423087686 \h 389 HYPERLINK \l "_Toc423087687" Table 3104: Savings Factor for Reduced Cooling Load PAGEREF _Toc423087687 \h 389 HYPERLINK \l "_Toc423087688" Table 3105: VSD Compressor – Values and References PAGEREF _Toc423087688 \h 392 HYPERLINK \l "_Toc423087689" Table 3106: Strip Curtain Calculation Assumptions PAGEREF _Toc423087689 \h 395 HYPERLINK \l "_Toc423087690" Table 3107: Default Energy Savings and Demand Reductions for Strip Curtains PAGEREF _Toc423087690 \h 396 HYPERLINK \l "_Toc423087691" Table 3108: Strip Curtain Calculation Assumptions for Supermarkets PAGEREF _Toc423087691 \h 397 HYPERLINK \l "_Toc423087692" Table 3109: Strip Curtain Calculation Assumptions for Convenience Stores PAGEREF _Toc423087692 \h 398 HYPERLINK \l "_Toc423087693" Table 3110: Strip Curtain Calculation Assumptions for Restaurants PAGEREF _Toc423087693 \h 399 HYPERLINK \l "_Toc423087694" Table 3111: Strip Curtain Calculation Assumptions for Refrigerated Warehouses PAGEREF _Toc423087694 \h 400 HYPERLINK \l "_Toc423087695" Table 3112: Night Covers Calculations Assumptions PAGEREF _Toc423087695 \h 403 HYPERLINK \l "_Toc423087696" Table 3113: Savings Factors PAGEREF _Toc423087696 \h 403 HYPERLINK \l "_Toc423087697" Table 3114: Auto Closers Calculation Assumptions PAGEREF _Toc423087697 \h 406 HYPERLINK \l "_Toc423087698" Table 3115: Refrigeration Auto Closers Deemed Savings PAGEREF _Toc423087698 \h 406 HYPERLINK \l "_Toc423087699" Table 3116: Door Gasket Assumptions PAGEREF _Toc423087699 \h 409 HYPERLINK \l "_Toc423087700" Table 3117: Door Gasket Savings Per Linear Foot for Walk-in and Reach-in Coolers and Freezers PAGEREF _Toc423087700 \h 409 HYPERLINK \l "_Toc423087701" Table 3118: Special Doors with Low or No Anti-Sweat Heat for Low Temp Case Calculations Assumptions PAGEREF _Toc423087701 \h 411 HYPERLINK \l "_Toc423087702" Table 3119: Insulate Bare Refrigeration Suction Pipes Calculations Assumptions PAGEREF _Toc423087702 \h 414 HYPERLINK \l "_Toc423087703" Table 3120: Insulate Bare Refrigeration Suction Pipes Savings per Linear Foot for Walk-in Coolers and Freezers of Restaurants and Grocery Stores PAGEREF _Toc423087703 \h 414 HYPERLINK \l "_Toc423087704" Table 3121: Assumptions for Adding Doors to Refrigerated Display Cases PAGEREF _Toc423087704 \h 416 HYPERLINK \l "_Toc423087705" Table 3122: Assumptions for Adding Doors to Refrigerated Display Cases PAGEREF _Toc423087705 \h 418 HYPERLINK \l "_Toc423087706" Table 3123: Commercial Clothes Washer Calculation Assumptions PAGEREF _Toc423087706 \h 422 HYPERLINK \l "_Toc423087707" Table 3124: Default Savings for Top Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings (PY8-PY9) PAGEREF _Toc423087707 \h 424 HYPERLINK \l "_Toc423087708" Table 3125: Default Savings for Front Loading ENERGY STAR Clothes Washer for Laundry in Multifamily Buildings (PY8-PY9) PAGEREF _Toc423087708 \h 424 HYPERLINK \l "_Toc423087709" Table 3126: Default Savings for Top Loading ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) PAGEREF _Toc423087709 \h 425 HYPERLINK \l "_Toc423087710" Table 3127: Default Savings Front Loading ENERGY STAR Clothes Washer for Laundromats (PY8-PY9) PAGEREF _Toc423087710 \h 425 HYPERLINK \l "_Toc423087711" Table 3128: Future Federal Standards for Clothes Washers (PY10-PY12) PAGEREF _Toc423087711 \h 426 HYPERLINK \l "_Toc423087712" Table 3129: Ice Machine Reference Values for Algorithm Components PAGEREF _Toc423087712 \h 428 HYPERLINK \l "_Toc423087713" Table 3130: Batch-Type Ice Machine Baseline Efficiencies (PY8-PY9) PAGEREF _Toc423087713 \h 429 HYPERLINK \l "_Toc423087714" Table 3131: Batch-Type Ice Machine ENERGY STAR Efficiencies (PY8-PY9) PAGEREF _Toc423087714 \h 429 HYPERLINK \l "_Toc423087715" Table 3132: Batch-Type Ice Machine Baseline Efficiencies (PY10-PY12) PAGEREF _Toc423087715 \h 430 HYPERLINK \l "_Toc423087716" Table 3133: Continuous Type Ice Machine Baseline Efficiencies (PY10-PY12) PAGEREF _Toc423087716 \h 430 HYPERLINK \l "_Toc423087717" Table 3134: Batch-Type Ice Machine ENERGY STAR Efficiencies (PY10-PY12) PAGEREF _Toc423087717 \h 431 HYPERLINK \l "_Toc423087718" Table 3135: Continuous Type Ice Machine ENERGY STAR Efficiencies (PY10-PY12) PAGEREF _Toc423087718 \h 431 HYPERLINK \l "_Toc423087719" Table 3136: Beverage Machine Control Calculation Assumptions PAGEREF _Toc423087719 \h 433 HYPERLINK \l "_Toc423087720" Table 3137: Beverage Machine Controls Energy Savings PAGEREF _Toc423087720 \h 434 HYPERLINK \l "_Toc423087721" Table 3138: Snack Machine Controls – Values and References PAGEREF _Toc423087721 \h 435 HYPERLINK \l "_Toc423087722" Table 3139: Steam Cooker - Values and References PAGEREF _Toc423087722 \h 439 HYPERLINK \l "_Toc423087723" Table 3140: Default Values for Electric Steam Cookers by Number of Pans PAGEREF _Toc423087723 \h 440 HYPERLINK \l "_Toc423087724" Table 3141: ENERGY STAR Refrigerated Beverage Vending Machine – Values and Resources PAGEREF _Toc423087724 \h 443 HYPERLINK \l "_Toc423087725" Table 3142: Default Beverage Vending Machine Energy Savings PAGEREF _Toc423087725 \h 443 HYPERLINK \l "_Toc423087726" Table 3143: Non-Residential Insulation – Values and References PAGEREF _Toc423087726 \h 446 HYPERLINK \l "_Toc423087727" Table 3144: Ceiling R-Values by Building Type PAGEREF _Toc423087727 \h 447 HYPERLINK \l "_Toc423087728" Table 3145: Wall R-Values by Building Type PAGEREF _Toc423087728 \h 448 HYPERLINK \l "_Toc423087729" Table 3146: ENERGY STAR Office Equipment - References PAGEREF _Toc423087729 \h 452 HYPERLINK \l "_Toc423087730" Table 3147: ENERGY STAR Office Equipment Measure Life PAGEREF _Toc423087730 \h 453 HYPERLINK \l "_Toc423087731" Table 3148: ENERGY STAR Office Equipment Energy and Demand Savings Values PAGEREF _Toc423087731 \h 453 HYPERLINK \l "_Toc423087732" Table 3149: Network Power Controls, Per Unit Summary Table PAGEREF _Toc423087732 \h 456 HYPERLINK \l "_Toc423087733" Table 3150: Smart Strip Calculation Assumptions PAGEREF _Toc423087733 \h 459 HYPERLINK \l "_Toc423087734" Table 3151: Cycling Refrigerated Thermal Mass Dryer – Values and References PAGEREF _Toc423087734 \h 461 HYPERLINK \l "_Toc423087735" Table 3152: Annual Hours of Compressor Operation PAGEREF _Toc423087735 \h 461 HYPERLINK \l "_Toc423087736" Table 3153: Coincidence Factors PAGEREF _Toc423087736 \h 461 HYPERLINK \l "_Toc423087737" Table 3154: Air-entraining Air Nozzle – Values and References PAGEREF _Toc423087737 \h 464 HYPERLINK \l "_Toc423087738" Table 3155: Baseline Nozzle Mass Flow PAGEREF _Toc423087738 \h 464 HYPERLINK \l "_Toc423087739" Table 3156: Air Entraining Nozzle Mass Flow PAGEREF _Toc423087739 \h 464 HYPERLINK \l "_Toc423087740" Table 3157: Average Compressor kW / CFM (COMP) PAGEREF _Toc423087740 \h 464 HYPERLINK \l "_Toc423087741" Table 3158: Annual Hours of Compressor Operation PAGEREF _Toc423087741 \h 465 HYPERLINK \l "_Toc423087742" Table 3159: Coincidence Factor PAGEREF _Toc423087742 \h 465 HYPERLINK \l "_Toc423087743" Table 3160: No-loss Condensate Drains – Values and References PAGEREF _Toc423087743 \h 468 HYPERLINK \l "_Toc423087744" Table 3161: Average Air Loss Rates (ALR) PAGEREF _Toc423087744 \h 469 HYPERLINK \l "_Toc423087745" Table 3162: Average Compressor kW/CFM (COMP) PAGEREF _Toc423087745 \h 469 HYPERLINK \l "_Toc423087746" Table 3163: Adjustment Factor (AF) PAGEREF _Toc423087746 \h 470 HYPERLINK \l "_Toc423087747" Table 3164: Annual Hours of Compressor Operation PAGEREF _Toc423087747 \h 470 HYPERLINK \l "_Toc423087748" Table 3165: Coincidence Factor PAGEREF _Toc423087748 \h 470 HYPERLINK \l "_Toc423087749" Table 13166: Assumptions for Air Tanks for Load/No Load Compressors PAGEREF _Toc423087749 \h 473 HYPERLINK \l "_Toc423087750" Table 3167: Annual Hours of Compressor Operation, HOURS PAGEREF _Toc423087750 \h 473 HYPERLINK \l "_Toc423087751" Table 3168: ENERGY STAR Server Measure Assumptions PAGEREF _Toc423087751 \h 476 HYPERLINK \l "_Toc423087752" Table 3169: ENERGY STAR Server Utilization Default Assumptions PAGEREF _Toc423087752 \h 476 HYPERLINK \l "_Toc423087753" Table 3170: ENERGY STAR Server Ratio of Idle Power to Full Load Power Factors PAGEREF _Toc423087753 \h 476 HYPERLINK \l "_Toc423087754" Table 41: Variables for Automatic Milker Takeoffs PAGEREF _Toc423087754 \h 481 HYPERLINK \l "_Toc423087755" Table 42: Variables for Dairy Scroll Compressors PAGEREF _Toc423087755 \h 484 HYPERLINK \l "_Toc423087756" Table 43: Variables for Ventilation Fans PAGEREF _Toc423087756 \h 487 HYPERLINK \l "_Toc423087757" Table 44: Default values for standard and high efficiency ventilation fans for dairy and swine facilities PAGEREF _Toc423087757 \h 488 HYPERLINK \l "_Toc423087758" Table 45. Default Hours for Ventilation Fans by Facility Type by Location (No Thermostat) PAGEREF _Toc423087758 \h 488 HYPERLINK \l "_Toc423087759" Table 46. Default Hours Reduced by Thermostats by Facility Type and Location PAGEREF _Toc423087759 \h 488 HYPERLINK \l "_Toc423087760" Table 47: Variables for Heat Reclaimers PAGEREF _Toc423087760 \h 491 HYPERLINK \l "_Toc423087761" Table 48: Variables for HVLS Fans PAGEREF _Toc423087761 \h 494 HYPERLINK \l "_Toc423087762" Table 49: Default Values for Conventional and HVLS Fan Wattages PAGEREF _Toc423087762 \h 494 HYPERLINK \l "_Toc423087763" Table 410. Default Hours by Location for Dairy/Poultry/Swine Applications PAGEREF _Toc423087763 \h 495 HYPERLINK \l "_Toc423087764" Table 411: Variables for Livestock Waterers PAGEREF _Toc423087764 \h 497 HYPERLINK \l "_Toc423087765" Table 412: Variables for VSD Controller on Dairy Vacuum Pump PAGEREF _Toc423087765 \h 501 HYPERLINK \l "_Toc423087766" Table 413: Variables for Low Pressure Irrigation Systems PAGEREF _Toc423087766 \h 504 HYPERLINK \l "_Toc423087767" Table 51: Definitions of Terms for Estimating C&I Load Curtailment PAGEREF _Toc423087767 \h 509 HYPERLINK \l "_Toc12609521" Table 21: Terms, Values, and References for ENERGY STAR Lighting PAGEREF _Toc12609521 \h 10 HYPERLINK \l "_Toc12609522" Table 22: Bulb and Fixture Hours of Use and Peak Coincidence Factor Values, by Room PAGEREF _Toc12609522 \h 11 HYPERLINK \l "_Toc12609523" Table 23: Energy and Demand HVAC Interactive Effects by EDC PAGEREF _Toc12609523 \h 12 HYPERLINK \l "_Toc12609524" Table 24: Terms, Values, and References for Residential Occupancy Sensors PAGEREF _Toc12609524 \h 14 HYPERLINK \l "_Toc12609525" Table 25: Terms, Values, and References for LED and Electroluminescent Nightlights PAGEREF _Toc12609525 \h 16 HYPERLINK \l "_Toc12609526" Table 26: Terms, Values, and References for Holiday Lights PAGEREF _Toc12609526 \h 18 HYPERLINK \l "_Toc12609527" Table 27: Terms, Values, and References for High Efficiency Equipment: ASHP, CAC, GSHP, PTAC, PTHP PAGEREF _Toc12609527 \h 21 HYPERLINK \l "_Toc12609528" Table 28: Default Baseline Equipment Efficiency for High Efficiency Equipment PAGEREF _Toc12609528 \h 23 HYPERLINK \l "_Toc12609529" Table 29: Default Oversize Factors for High Efficiency Equipment PAGEREF _Toc12609529 \h 23 HYPERLINK \l "_Toc12609530" Table 210: Terms, Values, and References for High Efficiency Equipment: Ductless Heat Pump PAGEREF _Toc12609530 \h 27 HYPERLINK \l "_Toc12609531" Table 211: Ductless Heat Pump Usage Zones PAGEREF _Toc12609531 \h 29 HYPERLINK \l "_Toc12609532" Table 212: Default Ductless Heat Pump Efficiencies PAGEREF _Toc12609532 \h 29 HYPERLINK \l "_Toc12609533" Table 213: Oversize and Duct Leakage Factors for High Efficiency Equipment PAGEREF _Toc12609533 \h 29 HYPERLINK \l "_Toc12609534" Table 214: Midstream DHP – SEER and EER Baseline Splits PAGEREF _Toc12609534 \h 29 HYPERLINK \l "_Toc12609535" Table 215: Midstream DHP – HSPF Baseline Splits PAGEREF _Toc12609535 \h 30 HYPERLINK \l "_Toc12609536" Table 216: Midstream DHP – DLFcool and OFcool Baseline Splits PAGEREF _Toc12609536 \h 30 HYPERLINK \l "_Toc12609537" Table 217: Midstream DHP – DLFheat and OFheat Baseline Splits PAGEREF _Toc12609537 \h 30 HYPERLINK \l "_Toc12609538" Table 218: Midstream DHP – Composite EFLH Values PAGEREF _Toc12609538 \h 30 HYPERLINK \l "_Toc12609539" Table 220: Terms, Values, and References for ECM Furnace Fan PAGEREF _Toc12609539 \h 33 HYPERLINK \l "_Toc12609540" Table 221: Terms, Values, and References for GSHP Desuperheater PAGEREF _Toc12609540 \h 35 HYPERLINK \l "_Toc12609541" Table 222: Terms, Values, and References for Air Conditioner & Heat Pump Maintenance PAGEREF _Toc12609541 \h 38 HYPERLINK \l "_Toc12609542" Table 224: Terms, Values, and References for Fuel Switching: Electric Heat to Gas Heat PAGEREF _Toc12609542 \h 41 HYPERLINK \l "_Toc12609543" Table 225: Terms, Values, and References for ENERGY STAR Room AC PAGEREF _Toc12609543 \h 43 HYPERLINK \l "_Toc12609544" Table 226: RAC (without reverse cycle) Federal Minimum Efficiency and ENERGY STAR Version 4.1 Standards PAGEREF _Toc12609544 \h 44 HYPERLINK \l "_Toc12609545" Table 227: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.1 Standards PAGEREF _Toc12609545 \h 44 HYPERLINK \l "_Toc12609546" Table 228: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.1 Standards PAGEREF _Toc12609546 \h 44 HYPERLINK \l "_Toc12609547" Table 229: Deemed EFLH and Default Energy Savings PAGEREF _Toc12609547 \h 45 HYPERLINK \l "_Toc12609548" Table 230: Terms, Values, and References for Room AC Retirement PAGEREF _Toc12609548 \h 47 HYPERLINK \l "_Toc12609549" Table 231: RAC Retirement-Only EFLH and Energy Savings by City PAGEREF _Toc12609549 \h 48 HYPERLINK \l "_Toc12609550" Table 232: Terms, Values, and References for Duct Sealing PAGEREF _Toc12609550 \h 51 HYPERLINK \l "_Toc12609551" Table 234: Distribution Efficiency by Climate Zone; Conditioned Air Type; Duct Location, Leakage & Insulation PAGEREF _Toc12609551 \h 52 HYPERLINK \l "_Toc12609552" Table 235: Distribution Efficiency Adders for Cond. Space (%) by Conditioned Air; Duct Location, Leakage & Insulation PAGEREF _Toc12609552 \h 52 HYPERLINK \l "_Toc12609553" Table 236: Terms, Values, and References for Air Handler Filter Whistle PAGEREF _Toc12609553 \h 54 HYPERLINK \l "_Toc12609554" Table 237: Default Air Handler Filter Whistle Savings PAGEREF _Toc12609554 \h 55 HYPERLINK \l "_Toc12609555" Table 238: Installation Classification PAGEREF _Toc12609555 \h 57 HYPERLINK \l "_Toc12609556" Table 239: Residential Electric HVAC Calculation Assumptions PAGEREF _Toc12609556 \h 58 HYPERLINK \l "_Toc12609557" Table 240: Cooling Energy Savings Factors (ESFcool) PAGEREF _Toc12609557 \h 59 HYPERLINK \l "_Toc12609558" Table 241: Heating Energy Savings Factors (ESFheat) PAGEREF _Toc12609558 \h 60 HYPERLINK \l "_Toc12609559" Table 242: Default Statewide Cooling Savings (kWh/yr) PAGEREF _Toc12609559 \h 60 HYPERLINK \l "_Toc12609560" Table 243: Default Statewide Heating Savings (kWh/yr) PAGEREF _Toc12609560 \h 61 HYPERLINK \l "_Toc12609561" Table 244: Default Statewide Total Heating and Cooling Savings (kWh/yr) PAGEREF _Toc12609561 \h 61 HYPERLINK \l "_Toc12609562" Table 245: Terms, Values, and References for Furnace Maintenance PAGEREF _Toc12609562 \h 63 HYPERLINK \l "_Toc12609563" Table 246: Default Savings per Input kBTU/h for Furnace Maintenance PAGEREF _Toc12609563 \h 64 HYPERLINK \l "_Toc12609564" Table 247: Terms, Values, and References for Heat Pump Water Heater PAGEREF _Toc12609564 \h 66 HYPERLINK \l "_Toc12609565" Table 248: Default Cooling and Heating System Efficiencies PAGEREF _Toc12609565 \h 67 HYPERLINK \l "_Toc12609566" Table 249: Draw Pattern Definitions PAGEREF _Toc12609566 \h 67 HYPERLINK \l "_Toc12609567" Table 250: Minimum Baseline Uniform Energy Factors Based on Rated Storage Volume and Draw Pattern PAGEREF _Toc12609567 \h 67 HYPERLINK \l "_Toc12609568" Table 251: UEF De-rating Factor for Various Installation Locations PAGEREF _Toc12609568 \h 69 HYPERLINK \l "_Toc12609569" Table 252: Terms, Values, and References for Solar Water Heater PAGEREF _Toc12609569 \h 72 HYPERLINK \l "_Toc12609570" Table 253: Terms, Values, and References for Fuel Switching: Electric Resistance to Fossil Fuel Water Heater PAGEREF _Toc12609570 \h 75 HYPERLINK \l "_Toc12609571" Table 254: Energy Savings & Demand Reductions for Fuel Switching, Domestic Hot Water Electric to Fossil Fuel PAGEREF _Toc12609571 \h 76 HYPERLINK \l "_Toc12609572" Table 255: Fuel Consumption for Fuel Switching, Domestic Hot Water Electric to Fossil Fuel PAGEREF _Toc12609572 \h 76 HYPERLINK \l "_Toc12609573" Table 256: Terms, Values, and References for Water Heater Tank Wrap PAGEREF _Toc12609573 \h 78 HYPERLINK \l "_Toc12609574" Table 257: Deemed savings by water heater capacity PAGEREF _Toc12609574 \h 79 HYPERLINK \l "_Toc12609575" Table 258: Terms, Values, and References for Water Heater Temperature Setback PAGEREF _Toc12609575 \h 82 HYPERLINK \l "_Toc12609576" Table 259: Default Energy Savings and Demand Reductions PAGEREF _Toc12609576 \h 82 HYPERLINK \l "_Toc12609577" Table 260: Terms, Values, and References for Water Heater Pipe Insulation PAGEREF _Toc12609577 \h 84 HYPERLINK \l "_Toc12609578" Table 261: Low Flow Faucet Aerator Calculation Assumptions PAGEREF _Toc12609578 \h 87 HYPERLINK \l "_Toc12609579" Table 262: Average Number of Faucets per Home PAGEREF _Toc12609579 \h 88 HYPERLINK \l "_Toc12609580" Table 263: Default Savings for Low Flow Faucet Aerators PAGEREF _Toc12609580 \h 88 HYPERLINK \l "_Toc12609581" Table 264: Terms, Values, and References for Low Flow Showerhead PAGEREF _Toc12609581 \h 92 HYPERLINK \l "_Toc12609582" Table 265: Default Savings for Low Flow Showerheads PAGEREF _Toc12609582 \h 93 HYPERLINK \l "_Toc12609583" Table 266: Terms, Values, and References for Thermostatic Shower Restriction Valve PAGEREF _Toc12609583 \h 97 HYPERLINK \l "_Toc12609584" Table 267: Default Savings for Thermostatic Restriction Valve PAGEREF _Toc12609584 \h 98 HYPERLINK \l "_Toc12609585" Table 264: Terms, Values, and References for Drain Water Heat Recovery Units PAGEREF _Toc12609585 \h 101 HYPERLINK \l "_Toc12609586" Table 265: Default Savings for Drain Water Heat Recovery Unit PAGEREF _Toc12609586 \h 102 HYPERLINK \l "_Toc12609587" Table 268: Terms, Values, and References for ENERGY STAR Refrigerators PAGEREF _Toc12609587 \h 105 HYPERLINK \l "_Toc12609588" Table 269: Federal Standard and ENERGY STAR Refrigerators Maximum Annual Energy Consumption if Configuration and Volume Known PAGEREF _Toc12609588 \h 105 HYPERLINK \l "_Toc12609589" Table 270: Default Savings Values for ENERGY STAR Refrigerators PAGEREF _Toc12609589 \h 107 HYPERLINK \l "_Toc12609590" Table 271: ENERGY STAR Most Efficient Annual Energy Usage if Configuration and Volume KnownSource 4 PAGEREF _Toc12609590 \h 108 HYPERLINK \l "_Toc12609591" Table 272: Default Savings Values for ENERGY STAR Most Efficient RefrigeratorsSource 4 PAGEREF _Toc12609591 \h 110 HYPERLINK \l "_Toc12609592" Table 273: Terms, Values, and References for ENERGY STAR Freezers PAGEREF _Toc12609592 \h 112 HYPERLINK \l "_Toc12609593" Table 274: Federal Standard and ENERGY STAR Freezers Maximum Annual Energy Consumption if Configuration and Volume Known PAGEREF _Toc12609593 \h 113 HYPERLINK \l "_Toc12609594" Table 275: Default Savings Values for ENERGY STAR Freezers PAGEREF _Toc12609594 \h 114 HYPERLINK \l "_Toc12609595" Table 276: Terms, Values, and References for Refrigerator and Freezer Recycling PAGEREF _Toc12609595 \h 118 HYPERLINK \l "_Toc12609596" Table 277: Terms, Values, and References for ENERGY STAR Clothes Washers PAGEREF _Toc12609596 \h 123 HYPERLINK \l "_Toc12609597" Table 278: Federal Standards and ENERGY STAR Specifications for Clothes WashersSource 2, 8 PAGEREF _Toc12609597 \h 124 HYPERLINK \l "_Toc12609598" Table 279: Default Clothes Washer Savings PAGEREF _Toc12609598 \h 124 HYPERLINK \l "_Toc12609599" Table 280: Terms, Values, and References for ENERGY STAR Clothes Dryers PAGEREF _Toc12609599 \h 126 HYPERLINK \l "_Toc12609600" Table 281: Combined Energy Factor for Federal Minimum Standard and ENERGY STAR Dryers PAGEREF _Toc12609600 \h 127 HYPERLINK \l "_Toc12609601" Table 282: Default Energy Savings and Demand Reductions for ENERGY STAR Clothes Dryers PAGEREF _Toc12609601 \h 127 HYPERLINK \l "_Toc12609602" Table 283: Terms, Values, and References for Heat Pump Clothes Dryers PAGEREF _Toc12609602 \h 129 HYPERLINK \l "_Toc12609603" Table 284: Default Savings for Heat Pump Clothes Dryers PAGEREF _Toc12609603 \h 130 HYPERLINK \l "_Toc12609604" Table 285: Terms, Values, and References for Fuel Switching: Electric Clothes Dryer to Gas Clothes Dryer PAGEREF _Toc12609604 \h 132 HYPERLINK \l "_Toc12609605" Table 286: Terms, Values, and References for ENERGY STAR Dishwashers PAGEREF _Toc12609605 \h 134 HYPERLINK \l "_Toc12609606" Table 287: Federal Standard and ENERGY STAR v 6.0 Residential Dishwasher Standard PAGEREF _Toc12609606 \h 135 HYPERLINK \l "_Toc12609607" Table 288: Default Dishwasher Energy Savings PAGEREF _Toc12609607 \h 135 HYPERLINK \l "_Toc12609608" Table 289: Terms, Values, and References for ENERGY STAR Dehumidifier PAGEREF _Toc12609608 \h 137 HYPERLINK \l "_Toc12609609" Table 290: Dehumidifier Minimum Federal Efficiency Standards PAGEREF _Toc12609609 \h 138 HYPERLINK \l "_Toc12609610" Table 291: Dehumidifier ENERGY STAR Standards PAGEREF _Toc12609610 \h 138 HYPERLINK \l "_Toc12609611" Table 292: Dehumidifier ENERGY STAR Most Efficient Criteria PAGEREF _Toc12609611 \h 138 HYPERLINK \l "_Toc12609612" Table 293: Dehumidifier Default Energy Savings PAGEREF _Toc12609612 \h 138 HYPERLINK \l "_Toc12609613" Table 294: Terms, Values, and References for Dehumidifier Retirement PAGEREF _Toc12609613 \h 141 HYPERLINK \l "_Toc12609614" Table 295: Dehumidifier Retirement Annual Energy Savings (kWh) PAGEREF _Toc12609614 \h 141 HYPERLINK \l "_Toc12609615" Table 296: Dehumidifier Retirement Peak Demand Reduction (kW) PAGEREF _Toc12609615 \h 141 HYPERLINK \l "_Toc12609616" Table 297: Default Dehumidifier Retirement Annual Energy Savings (kWh) PAGEREF _Toc12609616 \h 142 HYPERLINK \l "_Toc12609617" Table 298: Default Dehumidifier Retirement Peak Demand Reduction (kW) PAGEREF _Toc12609617 \h 142 HYPERLINK \l "_Toc12609618" Table 299: Terms, Values, and References for ENERGY STAR Ceiling Fans PAGEREF _Toc12609618 \h 144 HYPERLINK \l "_Toc12609619" Table 2100: Assumed Wattage of ENERGY STAR Ceiling Fans on High Setting PAGEREF _Toc12609619 \h 144 HYPERLINK \l "_Toc12609620" Table 2101: Energy Savings and Demand Reductions for ENERGY STAR Ceiling Fans PAGEREF _Toc12609620 \h 144 HYPERLINK \l "_Toc12609621" Table 2102: Terms, Values, and References for ENERGY STAR Air Purifier PAGEREF _Toc12609621 \h 146 HYPERLINK \l "_Toc12609622" Table 2103: Energy Savings Calculation Default Values PAGEREF _Toc12609622 \h 147 HYPERLINK \l "_Toc12609623" Table 2104: Demand Savings Calculation Default Values PAGEREF _Toc12609623 \h 147 HYPERLINK \l "_Toc12609624" Table 2105: Terms, Values, and References for ENERGY STAR Office Equipment PAGEREF _Toc12609624 \h 149 HYPERLINK \l "_Toc12609625" Table 2106: ENERGY STAR Office Equipment Energy and Demand Savings Values PAGEREF _Toc12609625 \h 150 HYPERLINK \l "_Toc12609626" Table 2107: Terms, Values, and References for Advanced Power Strips PAGEREF _Toc12609626 \h 153 HYPERLINK \l "_Toc12609627" Table 2108: Impact Factors for Advanced Power Strip Types PAGEREF _Toc12609627 \h 154 HYPERLINK \l "_Toc12609628" Table 2109: Default Savings for Advanced Power Strips PAGEREF _Toc12609628 \h 154 HYPERLINK \l "_Toc12609629" Table 2110: Terms, Values, and References for Residential Air Sealing PAGEREF _Toc12609629 \h 157 HYPERLINK \l "_Toc12609630" Table 2111: Default Residential Equipment Efficiency PAGEREF _Toc12609630 \h 158 HYPERLINK \l "_Toc12609631" Table 2112: Default Unit Energy Savings per Reduced CFM502 for Air Sealing PAGEREF _Toc12609631 \h 158 HYPERLINK \l "_Toc12609632" Table 2113: Default Unit Energy Savings per Reduced CFM50 for Air Sealing PAGEREF _Toc12609632 \h 158 HYPERLINK \l "_Toc12609633" Table 2114: Terms, Values, and References for Weather Stripping PAGEREF _Toc12609633 \h 161 HYPERLINK \l "_Toc12609634" Table 2115: Correlation Factor Source 2 PAGEREF _Toc12609634 \h 162 HYPERLINK \l "_Toc12609635" Table 2116: Latent Multiplier Values by Climate Reference City PAGEREF _Toc12609635 \h 162 HYPERLINK \l "_Toc12609636" Table 2118: Typical Reductions in Leakage Source PAGEREF _Toc12609636 \h 163 HYPERLINK \l "_Toc12609637" Table 2119: Default Annual Energy Savings PAGEREF _Toc12609637 \h 163 HYPERLINK \l "_Toc12609638" Table 2120: Default Summer Peak Demand Savings PAGEREF _Toc12609638 \h 164 HYPERLINK \l "_Toc12609639" Table 2121: Terms, Values, and References for Basement Wall Insulation PAGEREF _Toc12609639 \h 167 HYPERLINK \l "_Toc12609640" Table 2122: Default Base and Energy Efficient (Insulated) R Values PAGEREF _Toc12609640 \h 169 HYPERLINK \l "_Toc12609641" Table 2125: Terms, Values, and References for Basement or Crawl Space Insulation PAGEREF _Toc12609641 \h 172 HYPERLINK \l "_Toc12609642" Table 2126: Below-grade R-values PAGEREF _Toc12609642 \h 173 HYPERLINK \l "_Toc12609643" Table 2127: Terms, Values, and References for ENERGY STAR Windows PAGEREF _Toc12609643 \h 177 HYPERLINK \l "_Toc12609644" Table 2128: Default UESregion, system , kWh per Square Foot of Replaced Window PAGEREF _Toc12609644 \h 177 HYPERLINK \l "_Toc12609645" Table 2129: Terms, Values, and References for Residential Window Repair PAGEREF _Toc12609645 \h 180 HYPERLINK \l "_Toc12609646" Table 2130: Existing Infiltration Assumptions PAGEREF _Toc12609646 \h 181 HYPERLINK \l "_Toc12609647" Table 2131: Terms, Values, and References for Residential New Construction PAGEREF _Toc12609647 \h 183 HYPERLINK \l "_Toc12609648" Table 2128: Baseline Insulation and Fenestration Requirements by Component for Buildings Less Than 4 Stories (Equivalent U-Factors)Source 10 PAGEREF _Toc12609648 \h 184 HYPERLINK \l "_Toc12609649" Table 2129: Residential New Construction Baseline Building Values for Buildings Less Than 4 Stories PAGEREF _Toc12609649 \h 184 HYPERLINK \l "_Toc12609650" Table 2130: Baseline Insulation and Fenestration Requirements by Component for Buildings 4 Stories or Higher (Equivalent U-Factors)Source 13 PAGEREF _Toc12609650 \h 185 HYPERLINK \l "_Toc12609651" Table 2131: Residential New Construction Baseline Building Values for Buildings 4 Stories or Higher PAGEREF _Toc12609651 \h 186 HYPERLINK \l "_Toc12609652" Table 2136: ENERGY STAR Manufactured Homes– References PAGEREF _Toc12609652 \h 190 HYPERLINK \l "_Toc12609653" Table 2137: ENERGY STAR Manufactured Homes - User Defined Reference Home PAGEREF _Toc12609653 \h 191 HYPERLINK \l "_Toc12609654" Table 2138: Home Energy Report Persistence Example PAGEREF _Toc12609654 \h 194 HYPERLINK \l "_Toc12609655" Table 2139: Calculation of Avoided Decay and Incremental Annual Compliance Savings PAGEREF _Toc12609655 \h 195 HYPERLINK \l "_Toc12609656" Table 2143: Terms, Values, and References for HER Persistence Protocol PAGEREF _Toc12609656 \h 197 HYPERLINK \l "_Toc12609657" Table 2141: Terms, Values, and References for Variable Speed Pool Pumps PAGEREF _Toc12609657 \h 198 HYPERLINK \l "_Toc12609658" Table 2142: Single Speed Pool Pump Specification PAGEREF _Toc12609658 \h 199This Page Intentionally Left BlankResidential MeasuresThe following section of the TRM contains savings protocols for residential measures. This TRM does include an updated energy-to-demand factor for residential energy efficiency measures affecting the electric water heating end use. Due to time constraints, energy-to-demand factors for all other residential energy efficiency measures will be reviewed and updated in future TRMs.LightingENERGY STAR Lighting Measure NameENERGY STAR LightingTarget SectorResidential EstablishmentsMeasure UnitLight Bulb or FixtureUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure LifeCFL: 7.8 years,LED: 15 yearsVintageReplace on Burnout (Upstream)Early Replacement (Direct Install)Savings for residential energy efficient lighting products are based on a straightforward algorithm that calculates the difference between baseline and new wattage and the average daily hours of usage for the lighting unit being replaced. As of the writing of this TRM, federal standards for 2021 are uncertain. Baseline values in this measure represent the known EISA 2020 “backstop” provisions. An “in-service” rate is used to reflect the fact that not all lighting products purchased are actually installed. Lifetime savings is adjusted for the Energy Independence and Securities Act of 2007 (EISA) which includes a provision where bulbs sold after 2020 will need to meet a 45 lumens per watt standard (a “backstop” provision). The algorithms include default values for estimating savings from sales to non-residential customers.The parameter estimates in this section are for residential use only. If the split between residential and non-residential installations is unknown (e.g., an upstream program), EDCs can conduct data gathering to determine the percentage of bulbs sold and installed in various types of non-residential applications. EDCs should use the CF and hours of use by business type present in 3.1 REF _Ref395116780 \h Lighting for non-residential bulb savings estimates.EligibilityDefinition of Efficient EquipmentIn order for this measure protocol to apply, the high-efficiency equipment must be a screw-in ENERGY STAR CFL (general service or specialty bulb), screw-in ENERGY STAR LED bulb (general service or specialty bulb),) or LED fixture, ENERGY STAR fluorescent torchiere, ENERGY STAR indoor fluorescent fixture, ENERGY STAR outdoor fluorescent fixture, or an ENERGY STAR ceiling fan with a fluorescent light fixture.Definition of Baseline EquipmentThe baseline equipment is assumed to be a socket,bulb or fixture, torchiere, or ceiling fan with a standard or specialty incandescent light bulb(s).An adjustmentan efficacy equal to the baseline wattage for general service and specialty screw-in CFLs and LEDs is made to account for the Energy Independence and Security Act of 2007 (EISA 2007), which requires that all general service lamps and some specialty lamps between 40W and 100W meet minimum efficiency standards in terms of amount of light delivered45 lumens per unit of energy consumed. The standard was phased in between January 1, 2012 and January 1, 2014. This adjustment affects any efficient lighting where the baseline condition is assumed to be a general service, standard screw-in incandescent light bulb, or specialty, screw-in incandescent lamp.watt. For upstream buy-down, retail (time of sale), or efficiency kit programs, baseline wattages can be determined using the tables included in this protocolmethods described below. For direct install programs where wattage of the existing bulb is known, and the existing bulb was in working condition, wattage of the existing lamp removed by the program may be used in lieu ofas the tables belowbaseline wattage.AlgorithmsThe general form of the equation for the ENERGY STAR or other high-efficiency lighting energy savings algorithm is:Total Savings = Number of Units × Savings per UnitENERGY STAR Lighting:?kWhyr = Wattsbase-WattsEE1000 WkW × HOU× 1+IEkWh ×365.25daysyr ×ISR?kWpeak = Wattsbase-WattsEE1000 WkW ×CF× 1+IEkW ×ISREnergy and demand savings algorithms include a term to account for cross-sector sales (i.e., lamps that end up in non-residential use). Default values for non-residential terms are based on values in Vol. 3, Sec. 3.1.7 Lighting Improvements for Midstream ( HYPERLINK "" ). For direct install programs or other programs where it is known that all lamps will be in residential end uses, there are no non-residential energy or demand savings.?kWhres=Wattsbase-WattsEE1000WkW×1+IEkWh, res×ISRres×HOUres×365daysyr×1-CSS?kWhnon-res=Wattsbase-WattsEE1000WkW×1+IEkWh, non-res×ISRnon-res×HOUnon-res×365daysyr×CSS?kWpeak, res=Wattsbase-WattsEE1000 WkW×1+IEkW, res×ISRres×CFres×(1-CSS)?kWpeak, non-res=Wattsbase-WattsEE1000 WkW×1+IEkW,non-res×ISRnon-res×CFnon-res×CSSDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 1: Terms, Values, and References for ENERGY STAR Lighting - ReferencesComponentTermUnitValueSourcesWattsbase , Wattage of baseline case lamp/fixtureWattsEDC Data Gathering or REF _Ref373137256 \h \* MERGEFORMAT Table 22, REF _Ref376421603 \h \* MERGEFORMAT Table 23, & REF _Ref395116913 \h \* MERGEFORMAT Table 24see Baseline Wattage Values below 1WattsEE , Wattage of efficient case lamp/fixtureWattsEDC Data GatheringEDC Data GatheringHOUHOUres, Average hours of use per day per unit installed for residential usehoursday REF _Ref411524069 \h \* MERGEFORMAT Table 2522HOUnon-res, Average hours of use per day per unit installed for non-residential usehoursdayEDC Data Gathering Default = 2,5005IEkWh,res , HVAC Interactive Effect for CFL or LED energy for residential useNoneEDC Data GatheringDefault = REF _Ref395116944 \h \* MERGEFORMAT Table 263Exterior Fixtures: 0%3IEkW, res , HVAC Interactive Effect for CFL or LED demand for residential useNoneEDC Data GatheringDefault = REF _Ref376519636 \h \* MERGEFORMAT Table 26 REF _Ref395116944 \h Table 23Exterior Fixtures: 0%3IEkWh,non-res , HVAC Interactive Effect for LED energy for non-residential useNoneEDC Data GatheringDefault = 0%5IEkW,non- res , HVAC Interactive Effect for LED demand for non-residential useNoneEDC Data GatheringDefault = 19.2%5ISRISRres, In-service rate per incented product for residential use%EDC Data Gathering, Default = 92%4ISRnon-res, In-service rate per incented product for non-residential use%EDC Data Gathering, Default = 98%5CF CFres, Demand Coincidence Factor for residential useDecimalProportion REF _Ref411524069 \h \* MERGEFORMAT Table 2522CFnon-res, Demand Coincidence Factor for non-residential useProportionEDC Data Gathering,Default = 0.605CSS, Cross-sector sales. Share of incentivized lamps that go to non-residential uses.%EDC Data Gathering,Default = 7.4%6Variable Input ValuesBaseline Wattage Values – General Service LampsFor delivery methods where the install location is unknown, such as upstream programs, baseline wattage is dependent on lumens, shapelumen output. To determine the Wattsbase use the following formula:Wattsbase=Lumen Output÷45lumenswatt ,where Lumen Output is the rated light output of the efficient bulb, and EISA qualifications. Commonly used EISA exempt bulbs include 3-way bulbs, globes with ≥5” diameter or ≤749 in lumens, and candelabra base bulbs with ≤1049 lumens. See EISA legislation for the full list of exemptions. .For direct installation programs where the removed bulb is known, and the bulb is in working condition, EDCs may use the wattage of the replaced bulb in lieu of the tables below. For bulbs with lumens outside of the lumen bins provided, EDCs should use the manufacturer rated comparable wattage as the WattsBase. For EISA exempt bulbs, EDCs also have the option of using manufacturer rated comparable wattage as the WattsBase, rather than the tables below.formula.To determine the WattsBase for General Service Lamps , follow these steps:Identify the rated lumen output of the energy efficient lighting productIdentify if the bulb is EISA exemptIn REF _Ref373137256 \h \* MERGEFORMAT Table 22, find the lumen range into which the lamp falls (see columns (a) and (b).Find the baseline wattage (WattsBase) in column (c) or column (d). If the bulb is exempt from EISA legislation, use column (c), else, use column (d). Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 2: Baseline Wattage by Lumen Output for General Service Lamps (GSL)Minimum Lumens(a)Maximum Lumens(b)Incandescent EquivalentWattsBase (Exempt Bulbs)(c)WattsBase (Post-EISA 2007)(d)Wattsbase post 2020, (e)2000260015072231600199910072231100159975531880010996043154507994029931044925259Baseline values in REF _Ref373137256 \h Table 22 column (e), Wattsbase post 2020, should only be used in cost-effectiveness calculations for bulbs expected to be installed or remain in use past 2020. For these bulbs, Wattsbase column (d) should be used for the savings calculations until 2020, followed by the values in column (e) for the remainder of the measure life. For bulbs installed in 2020 and beyond, baseline values in column (e) should be used for the entirety of the measure life. For bulbs that do not fall within EISA regulations, such as exempt bulbs and bulbs with lumens greater than 2,600, the manufacturer rated equivalent wattage should be used as the baseline. The manufacturer rated wattage can vary by bulb type, but is usually clearly labeled on the bulb package. Note the EISA 2007 standards apply to general service incandescent lamps.?A complete list of the 22 incandescent lamps exempt from EISA 2007 is listed in the United States Energy Independence and Securities Act.Baseline Wattage Values – Specialty BulbsENERGY STAR provides separate equivalent incandescent wattages for specialty and decorative bulb shapes. These shapes include candle, globe, bullet, and shapes other than A-lamp bulbs. For these bulbs, use the WattsBase from REF _Ref395602541 \h Table 23.For EISA exempt specialty bulbs, use the Wattsbase value in column (c) in REF _Ref376421603 \h Table 23. Commonly used EISA exempt bulbs include 3-way bulbs, globes with ≥5” diameter or ≤749 lumens, and candelabra base bulbs with ≤1049 lumens. See the EISA legislation for the full list of exemptions.To determine the WattsBase for specialty/decorative lamps , follow these steps:Identify the rated lumen output of the energy efficient lighting product.Identify if the bulb is EISA exempt.In REF _Ref376421603 \h Table 23, find the lamp shape of the bulb (see columns (a) or (b)). REF _Ref376421603 \h In Table 23, find the lumen range into which the lamp falls (see columns (a) or (b)).Find the baseline wattage (WattsBase) in column (c) or column (d). If the bulb is exempt from EISA legislation, use column (c), else, use column (d). Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 3: Baseline Wattage by Lumen Output for Specialty LampsLumen Bins(decorative)(a)Lumen Bins(globe)(b)Incandescent EquivalentWattsBase (Exempt Bulbs)(c)WattsBase (Post-EISA 2007)(d)1100-130015072650-109910072575-6497553500-699500-5746043300-499350-4994029150-299250-349252590-149151570-891010Baseline Wattage Values – Reflector or Flood LampsReflector (directional) bulbs fall under legislation different from GSL and other specialty bulbs. For these bulbs, EDCs should use the default WattsBase (column (b)) in REF _Ref395116913 \h Table 24 below. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4. Default Baseline Wattage for Reflector BulbsBulb TypeLumen RangeWattsBaseNotes(a)Lower EndUpper End(b)ER30, BR30, BR40, or ER4020029930Exempt Bulb30044940Exempt Bulb45049945Exempt Bulb500141965R2020029930Exempt Bulb30044940Exempt Bulb40044940Exempt Bulb45071945Exempt BulbAll other R, PAR, ER, BR, BPAR, or similar bulb shapes, with diameter >2.5", other than those listed above200299303005994060084950850999551000130065Hours of Use and Peak Coincidence Factor ValuesIn the absence of more current EDC data gathering and analysis, the default values for daily hours of use (HOUHOUres) and coincidence factors (CFCFres) are below in REF _Ref411524069 \h \* MERGEFORMAT Table 252. The “all bulbs” HOUHOUres should be used for programs where it is known that the majority (> 90% or entirety) of the home’s sockets are retrofited with efficient lighting (e.g., a direct installation program that replaces most of the bulbs in a home). All other programs, including upstream programs, should default to the efficient HOUHOUres and CFCFres. Specific room-based HOUHOUres and CFCFres may be used for programs where the room-type of installation is known and recorded, otherwise the whole house or unknown room value should serve as the estimate. These HOU and CF estimates should be used for both CFL and LED technologies.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 52: Bulb and Fixture Hours of Use and Peak Coincidence Factor Values, by RoomRoomEfficient HOUHOUresEfficient CFCFresAll Bulbs HOUHOUresAll bulbs CFCFresBasement1.40.0351.70.066Bathroom2.80.1052.30.096Bedroom2.30.0731.80.064Closet1.20.0380.60.029Dining Room3.20.1182.70.108Exterior4.40.2743.90.265Hallway2.40.0851.90.076Kitchen4.40.1503.90.142Living Room4.10.1063.70.098Other2.10.0701.70.061Overall Household or unknown room3.00.1062.50.101Interactive Effects ValuesIn the absence of EDC data gathering and analysis, the default values for Energy and Demand HVAC Interactive Effects are below. These IE values should be used for both CFL and LED technologies. Exterior Fixtures should apply a 0% IE value. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 63: CFL and LED Energy and Demand HVAC Interactive Effects by EDCEDCIEkWh, resIEkW, resDuquesne8%13%FE (Met-Ed)-8%13%FE (Penelec)1%10%FE (Penn Power)0%20%FE (WPP)-2%30%PPL-6%12%PECO1%23%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.SourcesLumen bins and Pre-EISA baselines are consistent with ENERGY STAR lamp labeling requirements, Version 1.0. Post-EISA baselines are the maximum EISA complaint equivalent incandescent wattages based on EISA lumen bins. Reflector baselines are based on a triangulation of legislative requirements and a websearch of available bulbs.EISA standards require efficacy of 45 lumens/watt. HYPERLINK "" Statewide Evaluation Team (GDS Associates, Inc, Nexant, Research into Action, Apex Analytics LLC), “2014 Commercial & Residential Light Metering Study”, January 13, 2014. Based on data derived from Tables 1-2 & 1-3 but exclusive of inefficient bulbsGDS Simulation Modeling, September-November 2013. PECO values are based on an analysis of PY4 as performed by Navigant.The ISR is based on an installation rate “trajectory” and includes savings for all program bulbs that are believed to be installed within three years of purchase as established in the DOE Uniform Methods Project (UMP), Chapter 216: Residential Lighting Evaluation Protocol. February, 2015October 2017. This protocol estimates the three-year ISR based on a researched first year ISR. For the purposes of this TRM, a 79% first year ISR was used based on intercept surveys conducted in the PECO service territory (Navigant Consulting, Inc. “Final Annual Report to the Pennsylvania Public Utility Commission. Prepared for PECO. Program Year 5”. November, 2014.) Using the UMP trajectory, a total of 93% of all bulbs are installed within three years of purchase. Discounting the future savings back to the current program year reduces the ISR to 92%. Discount rate used was a weighted average nominal discount rate for all EDCs, 7.5%.The TRM algorithm does not adjust for lighting products sold to to customers outside the service territory (“leakage”), instead assuming that most leakage in Pennsylvania would occur back and forth between EDC service territories, and that leakage in and leakage out are offsetting.Additionally, the following studies were reviewed and analyzed to support the “Residential Lighting Markdown Impact Evaluation”:Nexus Market Research, “Impact Evaluation of the Massachusetts, Rhode Island and Vermont 2003 Residential Lighting Programs”, Final Report, October 1, 2004. Table 9-7.CFL Metering Study, Final Report. Prepared for PG&E, SDG&E, and SCE by KEMA, Inc. February 25, 2005. Table 4-1.Nexus Market Research, ""Process and Impact Evaluation of the Efficiency Maine Lighting Program"", April 2007. Table 1-7."Nexus Market Research, "Residential Lighting Markdown Impact Evaluation", Final Report, January 20, 2009. Table 6-1.KEMA, Inc., "Final Evaluation Report: Upstream Lighting Program." Prepared from the California Public Utilities Commission, February 8, 2010. Table 18.Itron, Inc. "Verification of Reported Energy and Peak Savings from the EmPOWER Maryland Energy Efficiency Programs." Prepared for the Maryland Public Service Commission, April 21, See Pennsylvania TRM Vol. 3, Sec. 3.1.7 Lighting Improvements for Midstream. HYPERLINK "" on a savings-weighted average of EDC-reported cross-sector sales values for PY6-PY9. HYPERLINK "" . Table 3-6.TecMarket Works, "Duke Energy Residential Smart Saver CFL Program in North Carolina and South Carolina", February 2011. Table 29.Glacier Consulting Group, LLC. “Adjustments to CFL Operating Hours-Residential.” Memo to Oscar Bloch, Wisconsin DOA. June 27, 2005.New Jersey’s Clean Energy Program Residential CFL Impact Evaluation and Protocol Review. KEMA, Inc. September 28, 2008. pg. 21.Residential Occupancy Sensors Measure NameENERGY STAR Occupancy SensorsTarget SectorResidential EstablishmentsMeasure UnitOccupancy SensorUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life10 yearsyearsSource 3VintageRetrofitSavings for residential occupancy sensors inside residential homes or common areas are based on a straightforward algorithm that calculates savings based on the wattage of the fixture(s) being controlled by the occupancy sensor, the daily run hours before installation and the daily run hours after installation. This protocol provides a deemed savings value for occupancy sensors sold through an upstream buy-down or retail (time of sale) program (and therefore the controlled wattage is unknown). EligibilityThis protocol is for the installation of occupancy sensors and/or connected (aka “smart”) lighting inside residential homes or common areas.Algorithms?kWhyr kWh =Wattscontrolled1000WkW ×RHold-RHnew ×365daysyrkWpeak = 0Definition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 74:: Terms, Values, and References for Residential Occupancy Sensors Calculations AssumptionsComponentTermUnitValueSourceWattscontrolled , Wattage of the fixture(s) being controlled by the occupancy sensorkWWEDC’sEDC Data GatheringDefault = 105.5 WAEPS Application; EDC’sEDC Data GatheringRHold , Daily run hours before installationHours2.51RHnew , Daily run hours after installationHours1.75 (70% of RHold)2Deemed SavingsFor occupancy sensors for which the controlled wattage is unknown, the deemed savings are 28.9 kWh/year per occupancy sensor. This value is based on the Phase III Market Potential Study for Pennsylvania.Source 4Evaluation 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.SourcesStatewide Evaluation Team (GDS Associates, Inc, Nexant, Research into Action, Apex Analytics LLC), “2014 Commercial & Residential Light Metering Study”, January 13, 2014. Lighting control savings fractions consistent with current programs offered by National Grid, Northeast Utilities, Long Island Power Authority, NYSERDA, and Energy Efficient VermontGDS Associates, Inc. (2007). Measure Life Report: Residential and Commercial/Industrial Lighting and HVAC Measures. Prepared for The New England State Program Working Group.Statewide Evaluation Team (GDS Associates, Inc, Nexant, Research into Action, Apex Analytics LLC), “2015 Energy Efficiency Potential Study for Pennsylvania”, February 27, 2015. HYPERLINK "" \t "_blank" LED and Electroluminescent NightlightNightlightsMeasure NameElectroluminescent NightlightTarget SectorResidential EstablishmentsMeasure UnitNightlightUnit Energy Savings29.49 kWhUnit Peak Demand Reduction0 kWMeasure Life8 yearsyearsSource 1VintageReplace on BurnoutSavings from installation of plug-in LED and electroluminescent nightlights are based on a straightforward algorithm that calculates the difference between existing and new wattage and the average daily hours of usage for the lighting unit being replaced. An “installation”in-service rate is used to modify the savings based upon the outcome of participant surveys, which will inform the calculation. Demand savings is assumed to be zero for this measure. EligibilityThis measure documents the energy savings resulting from the installation of an LED or electroluminescent night lightnightlight instead of a standard night lightnightlight. The target sector is primarily residential. AlgorithmsThe general form of the equation for the electroluminescent nightlight energy savings algorithm is:?kWhyr =((Wbase × HOUbase ) – (Wee × HOUee )) ×365daysyr× ISRNL1000WkW? kWh =Wbase × HOUbase – Wee × HOUee1000WkW× ISRNL×365daysyrkWpeak= 0 (assumed)Definition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 85:: Terms, Values, and References for LED and Electroluminescent Nightlight - ReferencesNightlightsComponentTermUnitValueSourcesWee ,Wbase, Watts per electroluminescentbaseline nightlightWattsEDC Data GatheringDefault = 0.0371Wbase ,Wee, Watts per baselineefficient nightlightWattsEDC Data GatheringDefault = 7values:LED = 1Electroluminescent = 0.032HOUbase, Daily hours HOUee, Hours-of-Use per day of electroluminescent use for baseline nightlighthoursday241231HOUee, HOUbase, Hours per baselineDaily hours of use for efficient nightlighthoursdayLED = 12Electroluminescent = 2423ISRNL, In-Service Rate per electroluminescentefficient nightlightNoneEDC Data GatheringDefault = 0.9720PA CFL ISR value4Deemed Energy SavingskWh/yr =7 × 12– .03 × 24× 365daysyr1000WkW × 0.97=29.49 kWhLED kWh=7 × 12– 1 × 121000WkW× 0.2× 365daysyr =5.3 kWhElectroluminescent kWh =7 × 12– 0.03 × 241000WkW× 0.2× 365daysyr =6.1 kWhEvaluation 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.SourcesLimelite Equipment Specification. Personal Communication, Ralph Ruffin, EI Products, 512-357-2776/ ralph@.Southern California Edison Company, “LED, Electroluminescent & Fluorescent Night Lights”, Work Paper WPSCRELG0029 Rev. 1, February 2009, ppp. 2 & p. –3.Limelite Equipment Specification. As these Personal Communication, Ralph Ruffin, EL Products, 512-357-2776/ ralph@.Electroluminescent nightlights are plugged in without a switch, the assumption is they will assumed to operate 24 hours per daycontinuously.LED NightlightMeasure NameLED NightlightTarget SectorResidential EstablishmentsMeasure UnitLED NightlightUnit Energy Savings25.49 kWhUnit Peak Demand Reduction0 kWMeasure Life8 yearsVintageReplace on BurnoutSavings from installation of LED nightlights are based on a straightforward algorithm that calculates the difference between existing and new wattage and the average daily hours of usage for the lighting unit being replaced. An “installation” rate is used to modify the savings based upon the outcome of participant surveys, which will inform the calculation. Demand savings is assumed to be zero for this measure.Eligibility This measure documents the energy savings resulting from the installation of an LED night light instead of a standard night light. The target sector is primarily residential. AlgorithmsAssumes a 1 Watt LED nightlight replaces a 7 Watt incandescent nightlight. The nightlight is assumed to operate 12 hours per day, 365 days per year; estimated useful life is 8 years (manufacturer cites 11 years 100,000 hours). Savings are calculated using the following algorithm:?kWhyr =(Wbase –WNL) × HOU × 365 daysyr1000 WkW × ISRkWpeak = 0 (assumed)Definition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9: LED Nightlight - ReferencesComponentUnitValueSourcesWbase , Watts per baseline WattsEDC Data GatheringDefault = 7EDC Data GatheringWNL ,Watts per LED NightlightWattsEDC Data GatheringDefault = 1EDC Data Gathering HOU , Hours-of-Usehoursday121ISRNL , In-Service Rate per LED nightlight%EDC Data GatheringDefault = 97%PA CFL ISR valueDeemed SavingsThe default energy savings is based on a delta watts assumption (Wbase – WNL) of 6 watts. kWh =6× 12 ×365 daysyr 1000 WkW× .97=25.49 kWhEvaluation 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.Based on ISR rates reported by FirstEnergy for nightlights in kits for PY9. See HYPERLINK "" SourcesSouthern California Edison Company, “LED, Electroluminescent & Fluorescent Night Lights”, Work Paper WPSCRELG0029 Rev. 1, February 2009, p. 2 & p. 3.Holiday LightsMeasure NameHoliday LightsTarget SectorResidential ApplicationsMeasure UnitOne 2550-bulb Strand of Holiday lightsUnit Energy Savings 21.2 kWh per strandUnit Peak Demand Reduction0 kWMeasure Life10 years,yearsSource 1, 2VintageReplace on BurnoutLED holiday lights reduce light strand energy consumption by up to 90%. Up to 25 strands can be connected end-to-end in terms of residential grade lights. Commercial grade lights require different power adapters and as a result, more strands can be connected end-to-end.EligibilityThis protocol documents the energy savings attributed to the installation of LED holiday lights indoors and outdoors. LED lights must replace traditional incandescent holiday lights.AlgorithmsAlgorithms yield kWh savings results per package (kWh/yr per package of LED holiday lights).?kWhyrC9 kWhC9 =INCC9-LEDC9 × #Bulbs × #Strands × HR1000WkW?kWhyrC7INCC9-LEDC9 × #Bulbs × #Strands × HOU1000WkW? kWhC7 =INCC7-LEDC7 × #Bulbs × #Strands × HR1000WkW?kWhyrminiINCC7-LEDC7 × #Bulbs × #Strands × HOU1000WkW? kWhmini =INCmini-LEDmini × #Bulbs × #Strands × HR1000WkWINCmini-LEDmini × #Bulbs × #Strands × HOU1000WkWKey assumptionsAll estimated values reflect the use of residential (50ct. per strand) LED bulb holiday lighting.Secondary impacts for heating and cooling were not evaluated.It is assumed that 50% of rebated lamps are of the “mini” variety, 25% are of the C7 variety, and 25% are of the C9 variety. If the lamp type is known or fixed by program design, then the savings can be calculated as described by the algorithms above. Otherwise, the savings for the mini, C7, and C9 varieties should be weighted by 0.5, 0.25 and 0.25, respectively, as in the algorithm below.?kWhyrDefault =%C9 ×?kWhyrC9+%C7 ×?kWhyrC7 kWhDefault =%C9 ×?kWhyrC9+%C7 ×?kWhyrC7+%mini ×?kWhyrminiDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 106:: Terms, Values, and References for Holiday Lights AssumptionsParameterUnitValueSourceLEDmini , Wattage of LED mini bulbsWatts/Bulb0.081INCmini , Wattage of incandescent mini bulbsWatts/Bulb0.481LEDC7 , Wattage of LED C7 bulbsWatts/Bulb0.481INCC7 , Wattage of incandescent C7bulbsWatts/Bulb6.01LEDC9 , Wattage of LED C9 bulbsWatts/Bulb2.01INCC9 , Wattage of incandescent C9 bulbsWatts/Bulb7.01%Mini , Percentage of holiday lights that are “mini”%50%1%C7 , Percentage of holiday lights that are “C7”%25%1%C9 , Percentage of holiday lights that are “C9”%25%1#Bulbs , Number of bulbs per strandBulbs/strandEDC Data GatheringDefault: 50 per strand3#Strands , Number of strands of lights per packagestrands/packageEDC Data GatheringDefault: 1 strand3HrHOU , Annual hours of operationHours/yr1501Deemed SavingsThe deemed savings for installation of LED C9, C7, and mini lights is 37.5 kWh, 41.4 kWh, and 3 kWh, respectively. The weighted average savings are 21.2 kWh per strand. There are no demand savings as holiday lights only operate at night. Since the lights do not operate in the summer, the coincidence factor for this measure is 0.0.Evaluation ProtocolThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings. As these lights are used on a seasonal basis, verification must occur in the winter holiday season. Given the relatively small amount of impact evaluation risk that this measure represents, and given that the savings hinge as heavily on the actual wattage of the supplanted lights than the usage of the efficient LED lights, customer interviews should be considered as an appropriate channel for verification.SourcesThe DSMore Michigan Database of Energy Efficiency Measures: Based on spreadsheet calculations using collected data values of lights per strand and strands per package at Home Depot and other stores.HVACElectric HVACHigh Efficiency Equipment: ASHP, CAC, GSHP, PTAC, PTHPMeasure NameElectric HVACTarget SectorResidential EstablishmentsMeasure UnitCentral AC Unit, ASHP Unit,, GSHP, PTAC or GSHPPTHP UnitUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure LifeVaries (See REF _Ref413846621 \h \* MERGEFORMAT Appendix A: Measure Lives)15Source 1VintageEarly Replacement, Replace on Burnout, Retrofit (Maintenance and Proper Sizing), Early ReplacementNew ConstructionThe methodThis measure defines the methods for determining energy impact savings from installation of residential high-efficiency cooling and heating equipment energy impact. Input data to savings is based on algorithms that determine a central air conditioner or heat pump’s cooling/heating energy use and peak demand contribution. Input data isare based both on fixed assumptions and data supplied from the high-efficiency equipment AEPS application form or EDC data gathering.The algorithms applicable for this program measure the energy savings directly related to the more efficient hardware installation.The algorithms applicable for this program measure the energy savings directly related to the more efficient hardware installation.Cooling savings may also be claimed under this measure for quality installation of properly sized new equipment.Larger commercial air conditioning and heat pump applications are dealt with in Section REF _Ref395170559 \r \h 3.2.3 of Volume 3: Commercial and Industrial Measures of this Manual, including GSHP systems over 65?kBtuhr.EligibilityEligibilityThis measure requires either:the purchase of an ENERGY STARa high-efficiency Central Air Conditioner, (CAC), Air Source Heat Pump, (ASHP), Ground Source Heat Pump, (GSHP), Packaged Terminal Air Conditioner (PTAC) or Packaged Terminal Heat Pump (PTHP). Cooling savings claimed from proper sizing of a central air conditioner, Central air conditioner or air source heat pump maintenance, Installation of a desuperheater on an existing Ground Source Heat Pump, or Installation of a new high efficiency fan on an existing furnace, or replacement of the air handler assembly with a new air handler containing a high efficiency fan. REF _Ref413242911 \h Table 211 shows the baseline conditions for each residential electric requires Manual J calculations, following of ENERGY STAR HVAC measure listed above. Quality Installation procedures, or similar calculations. Residential establishments with properly sized baseline equipment are excluded from claiming savings from proper sizing.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 11: Residential Electric HVAC Measure Baseline ConditionsMeasureBaseline ConditionENERGY STAR Air ConditionerEarly Retirement: Existing efficiency electric A/CReplace on Burnout: Standard efficiency electric A/CNew Construction or no existing cooling: Standard efficiency electric A/CHigh Efficiency Air Source Heat PumpHeating Baseline:Early Retirement: Existing efficiency electric heating systemReplace on Burnout or New Construction: Standard efficiency electric heating systemDe Facto Space Heating: Electric space heaters used as the primary heating source when an oil furnace or boiler has failed beyond repair Cooling Baseline:Early Retirement: Existing efficiency central A/C, ASHP, or room A/CReplace on Burnout: Standard efficiency central A/C, ASHP, or room A/CNew Construction or no existing cooling: Standard efficiency central A/CGround Source Heat PumpHeating Baseline:Early Retirement: Existing efficiency electric heating systemReplace on Burnout or New Construction: Standard efficiency electric heating systemCooling Baseline:Early Retirement: Existing efficiency central A/C, ASHP, or room A/CReplace on Burnout: Standard efficiency central A/C, ASHP, or room A/CNew Construction or no existing cooling: Standard efficiency central A/CProper sizing of a central air conditionerOversized new central air conditionerCentral air conditioner or air source heat pump maintenanceExisting cooling systemInstallation of a desuperheater on an existing Ground Source Heat PumpGround source heat pump without a desuperheaterInstallation of a new high efficiency fan on an existing furnace, or air handler replacement including a high effiency fanGas or electric furnace with a standard efficiency furnace fanThe high efficiency ASHP includes a baseline scenario for customers who are relying on space heaters as their primary heating source after their oil furnace or boiler failed and is beyond repair (referred to as de facto heating), and they do not have access to natural gas.AlgorithmsCentral A/C and Air Source Heat Pump (ASHP) (High Efficiency Equipment Only)AlgorithmsThis algorithm is used for the installation of new high efficiency A/C and ASHP equipmentair conditioners or heat pumps.ΔkWh/yr =ΔkWhcool+ΔkWhheat+ΔkWhPSFΔkWhcool =CAPYcool1000 WkW×1SEERb -1SEERe=CAPYcool×OFcoolSEERbase -1SEERee×EFLHcoolΔkWhcool (Room AC baseline only) =CAPYcool1000 WkW×OFRACSEERb -1SEERe×EFLHcool ΔkWhheat(ASHP Only) =CAPYheat1000 WkW×1HSPFb -1HSPFe×EFLHheat ΔkWhheat=CAPYheat×OFheatHSPFbase -1HSPFee×EFLHheatΔkWhPSF=CAPYcoolSEERee×PSF×EFLHcoolΔkW=ΔkWcool+ΔkWPSFΔkWcool=CAPYcool×OFcoolEERbase -1EERee ×CFΔkWPSF=CAPYcoolEERee×PSF×CFBaseline: Room Air Conditioner(s)ΔkWhheat (ASHP with de facto space heating baseline only)=CAPYheat1000 WkW×OFspaceheatHSPFb -1HSPFe×EFLHheatΔkWpeak =CAPYcool1000 WkW×1EERb -1EERe ×CF ΔkWpeak (Room AC baseline only) =CAPYcool1000 WkW×OFRACEERb -1EERe ×CF To determine the oversize factor for space heater baseline (OFspaceheat), EDCs may collect information about the total capacity of the (kBTU/hr) of existing space heaters. Capacity is determined using the total wattage of portable electric space heatersRACs (CAPYRAC) in use in the home. Capacity to determine the replaced capacity. An oversizing factor is calculated as follows:CAPYspaceheat=Wspaceheat ×3.412BtuW?hThe OFspaceheat will equalfrom the capacityratio of the existing portable space heaters divided by thebaseline to qualifying capacity of the new equipment.:OFspaceheat=CAPYspaceheatCAPYheatTo determine the oversize factor for room AC baseline (OFRAC), OFcool=CAPYRACCAPYcoolBaseline: Spaceheater(s), Electric BaseboardsEDCs may collect information about the capacity of the existing room ACs.space heaters, electric furnaces, or electric baseboards. Capacity is determined using the total wattage of room ACs electric heat in use in the home. Capacity is , where OFheat is the ratio of the existing electric capacity to the capacity of the new equipment:OFheat=kWSpaceheat ×3.412BTUW?hCAPYHeatQualifying: Ground Source Heat PumpGSHP efficiencies are typically calculated as follows:differently than air-source units, baseline and qualifying unit efficiencies should be converted as follows:CAPYRAC=WRAC ×3.412SEER= EERg × GSHPDF × GSEREER= EERg × GSPKHSPF=COPg × GSHPDF ×3.412BTUW?hQualifying: Package Terminal Heat Pumps, Package Terminal Air ConditionersSEER= EERHSPF= COP × 3.412BTUW?hDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 7: Terms, Values, and References for High Efficiency Equipment: ASHP, CAC, GSHP, PTAC, PTHPTermUnitValueSourcesCAPYcool , The cooling capacity of the equipment being installed kBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYheat , The heating capacity of the heat pump being installedkBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYRAC , The cooling capacity of the room AC for the RAC cooling baselinekBTU/hrEDC Data GatheringEDC Data GatheringkWspaceheat , The heating capacity of the space heaters in kilowatts.kWEDC Data GatheringEDC Data GatheringSEERbase , Seasonal Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data Gathering, Default see REF _Ref531779526 \h \* MERGEFORMAT Table 282; EDC Data GatheringSEERee , Seasonal Energy Efficiency Ratio of the qualifying unit being installedBTUW?hEDC Data GatheringAEPS Application; EDC Data GatheringEERbase , Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data Gathering, Default see REF _Ref531779526 \h \* MERGEFORMAT Table 283; EDC Data GatheringEERee , Energy Efficiency Ratio of the unit being installedBTUW?hEDC Data GatheringDefault: -0.0228 × SEER2 + 1.1522 × SEER4; EDC Data Gathering; AEPS ApplicationEERg , Energy Efficiency Ratio of a GSHP, this is measured differently than EER of an air source heat pump and must be convertedBTUW?hEDC Data GatheringHSPFbase , Heating Seasonal Performance Factor of the Baseline UnitBTUW?hEDC Data Gathering, Default see REF _Ref531779526 \h \* MERGEFORMAT Table 282; EDC Data GatheringHSPFee , Heating Seasonal Performance Factor of the unit being installedBTUW?hEDC Data GatheringAEPS Application; EDC Data GatheringPSF , Proper Sizing Factor or the assumed savings due to proper sizing and proper installationProportionNot properly sized or properly sized baseline equipment: 0Properly sized: 0.0510COPee , Coefficient of Performance of the unit being installed. This is a measure of the efficiency of a heat pumpProportionEDC Data GatheringAEPS Application; EDC Data GatheringOFcool , Oversize factorNoneEDC Data Gathering, Default see REF _Ref527537901 \h \* MERGEFORMAT Table 295OFheat , Oversize factorNoneEDC Data Gathering, Default see REF _Ref527537901 \h \* MERGEFORMAT Table 296GSER , Factor used to determine the SEER of a GSHP based on its EERgBTUW?h1.027GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitProportion0.84167GSHPDF , Ground Source Heat Pump De-rate FactorProportion0.8858EFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrSee EFLHcool in Vol. 1, App. A9EFLHheat , Equivalent Full Load Hours of operation during the heating season for the average unithoursyrSee EFLHheat in Vol. 1, App. A9CF , Demand Coincidence FactorProportionSee CF in Vol. 1, App. A9Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8: Default Baseline Equipment Efficiency for High Efficiency EquipmentEarly ReplacementReplace on Burnout /New ConstructionBaseline Equip.SEERbaseEERbaseHSPFbaseSEERbaseEERbaseHSPFbaseASHP13.511.48.21412.08.2CAC12.110.6a–1311.38.2GSHP15.016.6a10.91412.08.2Elec. Baseboard––3.412–––Elec. Furnace––3.241–––Space Heaters––3.412–––PTAC,,EERbase=10.9-(0.213×CAPYcool ) –EERbase=14.0-(0.3×CAPYcool ) –PTHP 15,16,17EERbase=10.8-(0.213×CAPYcool ) 3.412BtuW?h×2.9-0.026×CAPYcool EERbase=14.0-(0.3×CAPYcool ) 3.412BtuW?h×3.7-0.052×CAPYcool a. Calculated using the equation from Source 4Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9: Default Oversize Factors for High Efficiency EquipmentQualifyingOversize FactorExistingASHPCACElectric BaseboardElectric FurnaceGSHPRACSpace HeatersCAC, PTACOFcool1100110HPOFheat1111100.6OFcool1100110Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" Accessed December 2018For Early Replacement ASHP, CAC: Pennsylvania Act 129 2018 Residential Baseline Study [ HYPERLINK "" ] For Early Replacement GSHP: the values represent the minimum efficiency values for GSHP in BEopt v2.8.0. For Replace on Burnout/New Construction ASHP, CAC, GSHP: Federal Code of Regulations 10 CFR 430. HYPERLINK "" . For PTAC and PTHP: standards are based on requirements of ASHRAE 90.1-2016, Energy Standard for Buildings Except Low-Rise Residential Buildings, Table 6.8.1-4, HYPERLINK "" 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.“Methodology for Calculating Cooling and Heating Energy Input-Ratio (EIR) from the Rated Seasonal Performance Eefficiency (SEER OR HSPF)” (Kim, Baltazar, Haberl). April 2013 Accessed December 2018. HYPERLINK "" on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Assumptions used to calculate a default value for de facto heating system OF: Four (4) 1500W portable electric space heaters in use in the home with capacity of 4×1.5kW×3412BTUkW?h= 20,472 BTU, replaced by DHP with combined heating capacity of 36kBTU. OF=20,47236,000≈0.6VEIC estimate. Extrapolation of manufacturer data.McQuay Application Guide 31-008, Geothermal Heat Pump Design Manual, 2002. Engineering Estimate - See System Performance of Ground Source Heat PumpsBased on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" Energy Efficiency Partnerships, Inc., “Strategies to Increase Residential HVAC Efficiency in the Northeast”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01, p. 4.High Efficiency Equipment: Ductless Heat Pumps with Midstream Delivery OptionTarget SectorResidential EstablishmentsMeasure UnitDuctless Heat Pump UnitMeasure Life15 yearsSource 1VintageEarly Replacement, Replace on Burnout, New ConstructionENERGY STAR Version 5.0 ductless “mini-split” heat pumps technology is typically used to convert an electric resistance heated home into an efficient single or multi-zonal ductless heat pump system.Cooling savings may also be claimed under this measure for quality installation of properly sized new equipment, though not for equipment delivered through midstream programs.EligibilityOFRAC will equalThis protocol documents the energy savings attributed to ductless heat pumps. Eligible equipment must meet ENERGY STAR Version 5.0 requirements. The baseline heating system could be:Existing electric resistance heatingElectric space heaters used as the primary heating source when fossil fuel (other than natural gas) heating systems failed (referred to as de facto heating) A lower-efficiency ductless heat pump systemA ducted heat pumpElectric furnaceA non-electric fuel-based system.The baseline cooling system can be:A standard efficiency heat pump systemA central air conditioning systemcapacityA room air conditionerFor new construction or addition applications, the baseline assumption is a standard-efficiency ductless unit ( REF _Ref535142514 \h Table 212). DHP systems may be installed as the primary heating or cooling system for the house or as a secondary heating or cooling system for a single room. Cooling savings claimed from proper sizing requires Manual J calculations, following of ENERGY STAR HVAC Quality Installation procedures, or similar calculations. Residential establishments with properly sized baseline equipment are excluded from claiming savings from proper sizing.Midstream HVAC OverviewResidential ductless mini-split heat pumps midstream delivery programs will offer incentives on eligible products sold to trade allies and customers through residential sales channels such as distributors of HVAC 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. Midstream savings calculations rely on composite baseline information formulated by blending historical participant data from PECO’s downstream programs for PY8 to PY9 and PPL’s programs from PY8 to PY10Q1 with the existing PA TRM deemed values for the downstream incentive program. See “Midstream Composite Baseline Calculations” below. Cooling savings from proper sizing cannot be claimed under midstream delivery programs.AlgorithmsThe savings depend on three main factors: baseline condition, usage (primary or secondary heating system), and the capacity of the indoor unit. This algorithm is used for the installation of new high efficiency air conditioners or heat pumps. For non-midstream delivery methods, if there are multiple zones, each zone should be calculated separately. For midstream delivery, composite values are provided.ΔkWh=ΔkWhcool+ΔkWhheat+ΔkWhPSFΔkWhcool=CAPYcool×OFcool × DLFSEERbase -1SEERee×EFLHcool,zone×nMS zonesNote: Be sure to use EFLHcool of Room ACs for secondary cooling zones. See REF _Ref534624069 \h Table 211.ΔkWhheatdivided by =CAPYheat×OFheat × DLF HSPFbase -1HSPFee×EFLHheat,HP,zone×nMS zonesΔkWhPSF=CAPYcoolSEERee×PSF×EFLHcoolΔkW=ΔkWcool+ΔkWPSFΔkWcool=CAPYcool×OFcool × DLFEERbase -1EERee ×CF×nMS zonesΔkWPSF=CAPYcoolEERee×PSF×CFNote: Be sure to use EFLHheat of Secondary HP for secondary heating zones. See REF _Ref534624069 \h Table 211.Baseline: Room Air Conditioner(s)EDCs may collect information about the capacity of existing RACs (WRAC) in use in the home to determine the replaced capacity. An oversizing factor is calculated from the ratio of baseline to qualifying capacity:OFcool=CAPYRAC CAPYcoolBaseline: Spaceheater(s), Electric BaseboardsEDCs may collect information about the capacity of the existing space heaters, electric furnaces, or electric baseboards. Capacity is determined using the total wattage of wattage of electric heat in use, where OFheat is the ratio of the existing electric capacity to the capacity of the new equipment.:OFheat=kWSpaceheat ×3.412BTUW?hCAPYHeatDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 10: Terms, Values, and References for High Efficiency Equipment: Ductless Heat PumpTermUnitValueSourcesCAPYcool , The cooling capacity of the central air conditioner or heat pump being installed kBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYheat , The heating capacity of the heat pump being installedkBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYRAC , The cooling capacity of the room AC. Used only for the RAC cooling baselinekBTU/hrEDC Data GatheringEDC Data GatheringkWspaceheat , The heating capacity of the space heaters in watts.kWEDC Data GatheringEDC Data GatheringSEERbase , Seasonal Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data Gathering Default: REF _Ref531963176 \h \* MERGEFORMAT Table 212 or REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.1Midstream: 12.1EDC Data Gathering; 2; 10SEERee , Seasonal Energy Efficiency Ratio of the qualifying unit being installedBTUW?hEDC Data GatheringAEPS Application; EDC Data GatheringEERbase , Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data Gathering REF _Ref531963176 \h \* MERGEFORMAT Table 212EDC Data Gathering; 3EERee , Energy Efficiency Ratio of the unit being installedBTUW?hEDC Data GatheringDefault: -0.0228 × SEER ee2 + 1.1522 × SEER eeEDC Data Gathering; AEPS Application; 4HSPFbase , Heating Seasonal Performance Factor of the Baseline UnitBTUW?hEDC Data Gathering Default: REF _Ref531963176 \h \* MERGEFORMAT Table 212 or REF _Ref531779526 \h \* MERGEFORMAT Table 28 in REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.1Midstream: 6.7EDC Data Gathering; 2; 10HSPFee , Heating Seasonal Performance Factor of the unit being installedBTUW?hEDC Data GatheringAEPS Application; EDC Data GatheringPSF , Proper Sizing Factor or the assumed savings due to proper sizing and proper installationProportionMidstream Delivery, properly size baseline equipment, or not properly sized: 0Properly sized: 0.0511OFcool , Oversize factorNoneEDC Data Gathering Default: REF _Ref10729467 \h Table 213Midstream: 1.1EDC Data Gathering; 5OFheat , Oversize factorNoneEDC Data GatheringDefault: REF _Ref10729467 \h Table 213Midstream: 1.3EDC Data Gathering ;6DLF, “Duct Leakage Factor” accounts for the fact that a % of the energy is lost to duct leakage and conduction for ducted systems, but not ductless onesNoneDepends on baseline & efficient conditions: REF _Ref531955110 \h \* MERGEFORMAT Table 213Midstream, cooling: 1.02Midstream, heating: 1.017; 10zone, Primary or secondary usage level of a space, this affects EFLHcool and EFLHheat. For midstream delivery, use provided composite EFLH values.NoneSee REF _Ref534624069 \h \* MERGEFORMAT Table 211nMS zones, Average number of heating and cooling zones per site. Note: this factor applies to mid-stream delivery only.None1.1810EFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrSee EFLHcool in Vol. 1, App. AUse Room AC hours for secondary zones.Midstream: REF _Ref535141298 \h \* MERGEFORMAT Table 2188EFLHheat,HP , Equivalent Full Load Hours of operation during the heating season for the average unithoursyrSee EFLHheat in Vol. 1, App. AUse Secondary HP for secondary zones.Midstream: REF _Ref535141298 \h \* MERGEFORMAT Table 2188CF , Demand Coincidence FactorProportionSee CF in Vol. 1, App. A8Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 11: Ductless Heat Pump Usage ZonesUsage ZoneDefinitionPrimaryDining roomFamily roomHouse hallwayLiving roomKitchen areasRecreation roomSecondaryBasementBathroomBedroomLaundry/MudroomOffice/StudyStorage roomSunroom/Seasonal roomTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 12: Default Ductless Heat Pump EfficienciesBaseline Equip.Early ReplacementReplace on Burnout/New ConstructionSEERbaseEERbaseHSPFbaseSEERbaseEERbaseHSPFbaseDuctless1311.38.214128.2Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 13: Oversize and Duct Leakage Factors for High Efficiency EquipmentASHPCACDuctlessElectric BaseboardElectric FurnaceNew ConstructionRACSpace HeatersDLF1.151.15111.15111OFheat1.4011.41.4100.6OFcool1.41.5100110Midstream Composite Baseline CalculationsThe Midstream Delivery Program estimates the baseline system using composite values calculated from historical participant data. The composite values of the baseline inputs (SEER, EER, OF, DLF, and HSPF) are based on the PA TRM values and baseline heating and cooling system splits from historical PECO PY8 to PY9 and PPL PY8 to PY10Q1 data. The composite EFLH values assume a 50/50 split between primary and secondary installations and are a weighted average of EFLH values in Appendix A: Climate Dependent Values. REF _Ref525115770 \h Table 214 through REF _Ref535141298 \h Table 218 show the inputs for the calculation of each composite baseline value. The composite baseline values will be updated as needed from the downstream program participation data set.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 14: Midstream DHP – SEER and EER Baseline SplitsCooling TypeSEERbaseEERbaseSplitCentral AC13.011.34%DHP or ASHP14.012.08%No existing cooling for primary space13.011.329%No existing cooling for secondary space11.39.830%Room AC11.39.830%Composite 12.110.5100%Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 15: Midstream DHP – HSPF Baseline SplitsHeating TypeHSPFbaseSplitASHP8.23%Electric furnace3.21%Electric resistance or de facto space heaters3.432%No existing or non-electric heating8.257%Standard DHP8.28%Composite6.7100%Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 16: Midstream DHP – DLFcool and OFcool Baseline SplitsCooling TypeDLFcoolOFcoolSplitCentral AC1.151.58%Central ASHP1.151.45%Ductless Heat Pump1.001.019%Room AC1.001.069%Composite1.021.1100%Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 17: Midstream DHP – DLFheat and OFheat Baseline SplitsHeating TypeDLFheatOFheatSplitCentral ASHP1.151.46%De facto Space Heaters1.000.65%Ductless Heat Pump1.001.026%Electric Baseboard1.001.462%Electric Furnace1.151.41%Composite1.011.3100%Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 18: Midstream DHP – Composite EFLH Values Reference CityZoneComposite EFLHcoolComposite EFLHheatAllentownC3771040Binghamton, NYA2181277BradfordG1351445ErieI3071213HarrisburgE4791129PhiladelphiaD512906PittsburghH3561073ScrantonB3101143WilliamsportF3661085Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Federal Code of Regulations 10 CFR 430. HYPERLINK "" 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.“Methodology for Calculating Cooling and Heating Energy Input-Ratio (EIR) from the Rated Seasonal Performance Eefficiency (SEER OR HSPF)” (Kim, Baltazar, Haberl). April 2013 Accessed December 2018. HYPERLINK "" on REM/Rate modeling using models from the PA 2012 Potential Study. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Assumptions used to calculate a default value for de facto heating system OF: Four (4) 1500W portable electric space heaters in use in the home with capacity of 4×1.5kW×3412BTUkW?h= 20,472 BTU, replaced by DHP with combined heating capacity of 36kBTU. OF=20,47236,000≈0.6Assumption used in Illinois 2014 TRM, Ductless Heat Pumps Measure, p. 531, footnote 877. Reasonable assumption when compared to HYPERLINK "" and Residential HVAC and Distribution Research Implementation,. Berkeley Labs. May, 2002, p. 6. HYPERLINK "" on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" used to calculate a default value for de facto heating system OF: Four (4) 1500 W portable electric space heaters in use in the home with capacity of 1500 × 3.412 × 4 = 20,472 BTU, replaced by DHP with combined heating capacity of 36,000 BTU. OF = 20,472 / 36,000 = 0.6.PECO PY8 to PY9 Program Participation Data and PPL PY8 to PY10Q1 Program Participation DataNortheast Energy Efficiency Partnerships, Inc., “Strategies to Increase Residential HVAC Efficiency in the Northeast”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01, p. 4.ECM Circulation FansTarget SectorResidential EstablishmentsMeasure UnitECM Circulation FanMeasure Life15 yearsSource 1Measure VintageEarly Replacement, Replace on BurnoutThis protocol covers energy and demand savings associated with retrofit of permanent-split capacitor (PSC) evaporator fan motors in an air handling unit with an electronically commutated motor (ECM).EligibilityOFRAC=CAPYRACCAPYcoolCentral A/C (Proper Sizing)This measure is targeted to residential customers whose air handling equipment currently uses a standard low-efficiency permanent split capacitor (PSC) fan motor rather than an ECM.The targeted fan can supply heating or cooling 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 PSC fan motor.Efficient conditions are a circulating fan with an ECM.AlgorithmsThis algorithm is specifically intendedused for the installation of new units (Quality installation).high efficiency circulating fans, or air handler replacement that includes a high efficiency fan.kWhheat= ECMkW×EFLHheatkWhcool= ECMkW×EFLHcoolkW= ECMkW×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 19: Terms, Values, and References for ECM Furnace FanTermUnitValueSourcesECMkW, Reduced energy demand of the efficient ECM vs. baseline PSC motor.kWEDC Data Gathering,Default: 0.1162, EDC Data GatheringEFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrSee EFLHcool in Vol. 1, App. A3EFLHheat , Equivalent Full Load Hours of operation during the heating season for the average unithoursyrSee EFLHheat in Vol. 1, App. A3CF , Demand Coincidence FactorProportionSee CF in Vol. 1, App. A3Evaluation 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“Energy Savings from Efficient Furnace Fan Air Handlers in Massachusetts,” ACEEE, Sachs and Smith, 2003. For the purpose of calculating the total Resource Cost Test for Act 129, measure cannot claim savings for more than fifteen years.Cadmus (Public Service Commission of Wisconsin), “Focus on Energy Evaluated Deemed Savings Changes”, November 2014, Table 3 Description of Variables for Furnaces with ECM. HYPERLINK "" on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" \t "_blank" DesuperheatersTarget SectorResidential EstablishmentsMeasure UnitGSHP DesuperheaterMeasure Life15 yearsVintageRetrofitEligibilityInstallation of a desuperheater on an new or existing Ground Source Heat Pump to replace any type of electric water heater.AlgorithmsThis algorithm is used for the installation of a desuperheater for a GSHP unit.ΔkWh= EFSHUEF Base × HW × 365daysyr × 8.3BTUgal?℉ × Thot-Tcold 3,412 BTUkWh kW=?kWh×ETDFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 20: Terms, Values, and References for GSHP DesuperheaterTermUnitValueSourcesEFSH , Energy Factor per desuperheaterNone0.171, 2HW, Daily hot water useGallons/Day45.57Thot, Hot Water Temperature°F1193Tcold, Cold Water Temperature°F524UEFbase , Uniform Energy Factor of Electric Water HeaterNoneEDC Data Gathering,Default: 1.03EDC Data Gathering,5ETDF , Energy to Demand FactorNone0.000080476Evaluation 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 SavingsDefault savings are 446.7 kWh and 0.036 kW demand savings.Sources“Residential Ground Source Heat Pumps with Integrated Domestic Hot Water Generation: Performance Results from Long-Term Monitoring”, U.S. Department of Energy, November 2012.Desuperheater Study, New England Electric System, 1998 42 U.S.C.A 6295(i) (West Supp. 2011) and 10 C.F.R. 430.32 (x) (2011).Pennsylvania Statewide Residential End-Use and Saturation Study, 2014, HYPERLINK "" . Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" default value of 1.03 UEF includes both standard and heat pump electric water heaters. Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" , Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal, Aug/Sept. 2011. ΔkWh/yr = CAPYcool(SEERq × 1000 WkW )×EFLHcool × PSFΔkWpeak = CAPYcool(EERq × 1000 WkW)× CF×PSF Central A/C and ASHP (p. 95. HYPERLINK "" “Residential End Uses of Water, Version 2.” Water Research Foundation. (Apr 2016), p. 5. HYPERLINK "" Conditioner & Heat Pump Maintenance)Target SectorResidential EstablishmentsMeasure UnitCentral A/C, ASHP, Ductless Mini-Split HP, GSHP, PTAC or PTHP UnitMeasure Life3 yearsSource 1VintageRetrofitThis algorithm is used for measures providing services to maintain, service or tune-up refrigerant-driven Central A/C and ASHPheat pump units. The tune-up must include the following at a minimum:Check refrigerant charge level and correct as necessaryClean filters as neededInspect and lubricate bearingsInspect and clean condenser and, if accessible, evaporator coilEligibilityAn existing central A/C, air source heat pump, ground source heat pump, ductless mini-split heat pump, PTAC, or PTHP unit.AlgorithmskWh/yr =kWhcool+kWhheat ΔkWhcool =CAPYcool(1000 WkW × SEERm )×EFLHcool×MFcoolΔkWhheat(ASHP Only) =CAPYheat(1000WkW × HSPFm)× EFLHheat× MFheatΔkWpeak =CAPYcool(1000 WkW × EERm )× CF ×MFcoolΔkWhcool=CAPYcoolSEERbase×MF×EFLHcoolΔkWhheat=CAPYheatHSPFbase×MF× EFLHheat,HPΔkW=CAPYcoolEERbase×MF× CFGround Source Heat Pumps (GSHP)This algorithm is used for the installation of new GSHP units. For GSHP systems over 65,000 Btuhr, see commercial algorithm stated in Section REF _Ref395126757 \r \h 3.2.3.kWh/yr =kWhcool+kWhheatCOPsys =COPg × GSHPDFEERsys = EERg × GSHPDFkWhcool =CAPYcool1000 WkW× 1SEERb -1EERsys × GSER× EFLHcool kWhcool (RAC baseline only) =CAPYcool1000 WkW× OFRACSEERb -1EERsys × GSER× EFLHcoolkWhheat =CAPYheat1000 WkW × 1HSPFb -1COPsys × GSOP× EFLHheatkWhheat (space heater baseline only) =CAPYheat1000 WkW × OFspaceheatHSPFb -1COPsys × GSOP× EFLHheatkWpeak =CAPYcool1000 WkW× 1EERb -1EERsys × GSPK× CFkWpeak (RAC baseline only) =CAPYcool1000 WkW× OFRACEERb -1EERsys × GSPK× CFGSHP DesuperheaterThis algorithm is used for the installation of a desuperheater for a GSHP unit.kWh/yr = EFDSH × 1EFBase × HW × 365daysyr × 8.3lbgal × 1Btulb?℉ × (Thot-Tcold) 3412BtukWh= 511 kWhkWpeak =EDSH × ETDFFurnace High Efficiency FanThis algorithm is used for the installation of new high efficiency furnace fans, or air handler replacement that includes a high efficiency fan.kWh/yrheat= HFSkWh/yrcool= CFSkWpeak= PDFSDefinition of TermsGSHP efficiencies are typically calculated differently than air-source units and baseline efficiencies should be converted as follows:SEERbase= EERg × GSHPDF × GSEREERbase= EERg × GSPKHSPFbase=COPg × GSHPDF ×3.412BTUW?hPTAC and PTHPSEERbase = EERbaseDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 1221: Residential Electric HVAC - : Terms, Values, and References for Air Conditioner & Heat Pump Maintenance ComponentUnitValueSourcesCAPYcool , The cooling capacity of the central air conditioner or heat pump being installed Btu/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYheat , The heating capacity of the heat pump being installedBtu/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYspaceheat , The heating capacity of the space heaters when using the de facto heating baselineBtu/hrEDC Data GatheringEDC Data GatheringCAPYRAC , The cooling capacity of the room AC units. Used only for the RAC cooling baselineBtu/hrEDC Data GatheringEDC Data GatheringWspaceheat , The heating capacity of the space heaters in watts. Used only for the de facto heating baselineWattsEDC Data GatheringEDC Data GatheringWRAC , The cooling capacity of the room AC in watts. Used only for the RAC cooling baselineWattsEDC Data GatheringEDC Data GatheringSEERb , Seasonal Energy Efficiency Ratio of the Baseline Unit (split or package units)BtuW?hReplace on Burnout: 13 SEER (Central A/C) or 14 SEER (ASHP)1BtuW?hEarly RetirementEDC Data GatheringDefault = 11 (Central A/C) or12 (ASHP) or 11.3 (Room A/C),or 13 (no existing cooling)13; EDC Data GatheringSEERe , Seasonal Energy Efficiency Ratio of the qualifying unit being installedBtuW?hEDC Data GatheringAEPS Application; EDC Data GatheringSEERm , Seasonal Energy Efficiency Ratio of the Unit receiving maintenanceBtuW?hEDC Data GatheringDefault= 11 (Central A/C) or 12 (ASHP)13; EDC Data GatheringEERb , Energy Efficiency Ratio of the Baseline UnitBtuW?hReplace on Burnout: 11.3 (Central AC) or 12 (ASHP)2BtuW?hEarly Retirement:EDC Data GatheringDefault= 8.69 or 9.8 (Room AC) or 11.3 (no existing cooling)14; EDC Data GatheringEERe , Energy Efficiency Ratio of the unit being installedBtuW?hFor Central A/C:11.313 × SEEROr for ASHP:1214 × SEER2; EDC Data GatheringEERg , EER of the ground source heat pump being installed. Note that EERs of GSHPs are measured differently than EERs of air source heat pumps (focusing on entering water temperatures rather than ambient air temperatures). The equivalent SEER of a GSHP can be estimated by multiplying EERg by 1.02BtuW?hEDC Data GatheringAEPS Application; EDC’s Data GatheringEERsys , Ground Source Heat Pump effective system EERBtuW?hCalculatedCalculatedEERm , Energy Efficiency Ratio of the Unit receiving maintenanceBtuW?hEDC Data GatheringDefault= 8.6914; EDC Data GatheringGSER , Factor used to determine the SEER of a GSHP based on its EERgBtuW?h1.023EFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrAllentown Cooling = 487 HoursErie Cooling = 389 HoursHarrisburg Cooling = 551 HoursPhiladelphia Cooling = 591 HoursPittsburgh Cooling = 432 HoursScranton Cooling = 417 HoursWilliamsport Cooling = 422 Hours4OptionalAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref364157537 \h \* MERGEFORMAT Table 213); EDC Data GatheringEFLHheat , Equivalent Full Load Hours of operation during the heating season for the average unithoursyrAllentown Heating = 1,193 HoursErie Heating = 1,349 HoursHarrisburg Heating = 1,103 HoursPhiladelphia Heating = 1,060 HoursPittsburgh Heating = 1,209 HoursScranton Heating = 1,296 HoursWilliamsport Heating = 1,251 Hours4OptionalAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref364157543 \h \* MERGEFORMAT Table 214); EDC Data GatheringOFSpaceheat , Oversize factor applicable only for the de facto heating baseline where space heaters are used after a fossil fuel heating system has failed NoneEDC Data GatheringDefault = 0.621OFRAC , Oversize factor applicable only for the room AC baselineNoneEDC Data GatheringDefault = 1.04PSF , Proper Sizing Factor or the assumed savings due to proper sizing and proper installationNone0.055MFcool , Maintenance Factor or assumed savings due to completing recommended maintenance on installed cooling equipmentNone0.0515MFheat , Maintenance Factor or assumed savings due to completing recommended maintenance on installed heating equipmentNone0.0515HSPFm , Heating Seasonal Performance Factor of the unit receiving maintenanceBtuW?h6.920COPg , Coefficient of Performance. This is a measure of the efficiency of a heat pumpNoneEDC Data GatheringAEPS Application; EDC’s Data GatheringGSHPDF , Ground Source Heat Pump De-rate FactorNone0.88519(Engineering Estimate - See System Performance of Ground Source Heat Pumps)COPsys , Ground Source Heat Pump effective system COPVariableCalculatedCalculatedGSOP , Factor to determine the HSPF of a GSHP based on its COPgNone3.4128GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitNone0.84169EFDSH , Energy Factor per desuperheaterNone0.1710, 11EDSH , Fixed savings per desuperheaterkWh/yr567CalculatedCF , Demand Coincidence Factor (See Section REF _Ref374019547 \r \h \* MERGEFORMAT 1.5)Decimal0.6476HSPFb , Heating Seasonal Performance Factor of the Baseline UnitBtuW?hReplace on Burnout: 8.27BtuW?hEarly Replacement:EDC Data GatheringDefault = 6.9Electric resistance or de facto space heater default = 3.41220HSPFe , Heating Seasonal Performance Factor of the unit being installedBtuW?hEDC Data GatheringAEPS Application; EDC’s Data GatheringEFbase , Energy Factor of Electric Water HeaterNone0.945 REF _Ref423080151 \h Table 248HW , Daily Hot Water UseGallons/day50 REF _Ref274915443 \h Table 245Thot, , Hot Water Temperature°F119 REF _Ref274915443 \h Table 245Tcold,, Cold Water Temperature°F55 REF _Ref274915443 \h Table 245ETDF , Fixed “Energy to Demand Factor per desuperheaterNone0.00008047 REF _Ref274915443 \h \* MERGEFORMAT Table 245PDSH , Assumed peak-demand savings per desuperheaterkW0.05CalculatedHFS , Assumed heating season savings per furnace high efficiency fankWh31116CFS , Assumed cooling season savings per furnace high efficiency fankWh13517PDFS , Assumed peak-demand savings per furnace high efficiency fankW0.10518Alternate Equivalent Full Load Hour (EFLH) Tables REF _Ref364157537 \h \* MERGEFORMAT Table 213 and REF _Ref364157543 \h \* MERGEFORMAT Table 214 below show cooling EFLH and heating EFLH, respectively, by city and for each EDC’s housing demographics. EFLH values are only shown for cities that are close to customers in each EDC’s service territory. In order to determine the most appropriate EFLH value to use for a project, first select the appropriate EDC, then, from that column, pick the closest city to the project location. The value shown in that cell will be the EFLH value to use for the project. For more information on the following two tables, see Source 4.TermUnitValueSourcesCAPYcool , The cooling capacity of the central air conditioner or heat pump being installed kBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringCAPYheat , The heating capacity of the heat pump being installedkBTU/hrEDC Data GatheringAEPS Application; EDC Data GatheringMF , Maintenance Factor or assumed savings due to completing recommended maintenance on installed cooling equipmentProportion0.052EFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrSee EFLHcool in Vol. 1, App. A3EFLHheat,HP , Equivalent Full Load Hours of operation during the heating season for the average unithoursyrSee EFLHheat in Vol. 1, App. A3SEERbase , Seasonal Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.1EDC Data Gathering4HSPFbase , Heating Seasonal Performance Factor of the Baseline UnitBTUW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.1EDC Data Gathering4EERg , Energy Efficiency Ratio of a GSHP, this is measured differently than EER of an air source heat pump and must be convertedBTUW?hEDC Data GatheringDefault: 16.64EERbase , Energy Efficiency Ratio of the Baseline UnitBTUW?hEDC Data GatheringCOPg , Coefficient of Performance. This is a measure of the efficiency of a ground source heat pumpNoneEDC Data GatheringDefault: 3.6AEPS Application; EDC Data GatheringGSER , Factor used to determine the SEER of a GSHP based on its EERgBTUW?h1.025GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitProportion0.84165GSHPDF , Ground Source Heat Pump De-rate FactorProportion0.8856CF , Demand Coincidence FactorProportionSee CF in Vol. 1, App. A3Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 13: Alternate Cooling EFLHPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown431528453N/AN/AN/A523ErieN/A418N/A413N/A397N/AHarrisburg487N/A506580N/AN/AN/APhiladelphiaN/AN/A536N/AN/AN/A651PittsburghN/A468N/A458417448N/AScranton376454N/AN/AN/AN/AN/AWilliamsportN/AN/AN/A447N/AN/AN/ATable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 14: Alternate Heating EFLHPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown111210571122N/AN/AN/A1320ErieN/A1204N/A1317N/A1376N/AHarrisburg1028N/A10351077N/AN/AN/APhiladelphiaN/AN/A1001N/AN/AN/A1165PittsburghN/A1068N/A117512741234N/AScranton10231151N/AN/AN/AN/AN/AWilliamsportN/AN/AN/A1218N/AN/AN/ASystem Performance of Ground Source Heat PumpsGround Source heat pump nameplate AHRI ratings do not include auxiliary pumping energy for ground loop water distribution. Based on McQuay heat pump design guidelines (Ref. #19), it is estimated that approximately a 1/3 HP pump would be required to be paired with a 2.5 ton Ground Source Heat Pump (assuming 3 GPM//ton design flow and 200 ft./ton of 1-inch tubing). At 7.5 GPM, a 1/3 HP pump would consume approximately 0.23 kW (7.5 GPM @ 30 ft. head). Assuming a 2 kW load for the heat pump itself, this would amount to a roughly 11.5% increase in system energy. The system COP de-rate factor would then be 0.885.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.SourcesSourcesFederal Code of Regulations 10 CFR 430. 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.California Public Utilities Commission Database forVEIC estimate. Extrapolation of manufacturer data.Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Northeast Energy Efficiency Partnerships, Inc., “Strategies to Increase Residential HVAC Efficiency in the Northeast”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01, page 46. Straub, Mary and Switzer, Sheldon."Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. Found at HYPERLINK "" Federal Code of Regulations 10 CFR 430. HYPERLINK "" Engineering calculation, HSPF/COP=3.412.VEIC estimate. Extrapolation of manufacturer data.”Residential Ground Source Heat Pumps with Integrated Domestic Hot Water Generation: Performance Results from Long-Term Monitoring”, U.S. Department of Energy, November 2012.Desuperheater Study, New England Electric System, 1998 42 U.S.C.A 6295(i) (West Supp. 2011) and 10 C.F.R. 430.32 (x) (2011).Northeast Energy Efficiency Partnerships, Inc., “Benefits of HVAC Contractor Training”, (February 2006): Appendix C Benefits of HVAC Contractor Training: Field Research Results 03-STAC-01.2014 Pennsylvania Residential Baseline Study. The Act 129 2014 Residential Baseline Study may be found at HYPERLINK "" The same EER to SEER ratio used for SEER 13 units applied to SEER 10 units. EERm = (11.3/13) * 10.2013 Illinois Statewide TRM ( Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Energy Center of Wisconsin, “Central Air Conditioning in Wisconsin, Energy Center of Wisconsin, A Compilation of Recent Field Research”, May 2008).Scott Pigg (Energy Center of Wisconsin), “Electricity Use by New Furnaces: A Wisconsin Field Study”, Technical Report 230-1, October 2003, page 20. The average heating-mode savings of 400 kWh multiplied by the ratio of average heating degree days in PA compared to Madison, WI (5568/7172).Ibid, page 34. The average cooling-mode savings of 88 kWh multiplied by the ratio of average EFLH in PA compared to Madison, WI (749/487).Ibid, page 34. The average kW savings of 0.1625 multiplied by the coincidence factor from REF _Ref413846752 \h Table 211.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" Act 129 2018 Residential Baseline Study, HYPERLINK "" . Due to small sample size for GSHP in Pennsylvania Act 129 2018 Residential Baseline Study this value is lowest efficiency value from BEopt v2.8.0. PTAC and PTHP standards are based on requirements of ASHRAE 90.1-2016, Energy Standard for Buildings Except Low-Rise Residential Buildings, Table 6.8.1-4, HYPERLINK "" . VEIC estimate. Extrapolation of manufacturer data.McQuay Application Guide 31-008, Geothermal Heat Pump Design Manual, 2002. Engineering Estimate - See System Performance of Ground Source Heat PumpsBased on building energy model simulations and residential baseline characteristics determined from the 2014 Residential End-use Study and applied to an HSPF listing for 12 SEER Air Source Heat Pumps at HYPERLINK "" on July 28th, 2014.Assumptions used to calculate a default value for OFSpaceheat , the oversize factor for de facto space heaters: Four (4) 1500 W portable electric space heaters in use in the home with capacity of 1500 × 3.412 × 4 = 20,472 BTU, replaced by ASHP with heating capacity of 36,000 BTU. OF = 20,472 / 36,000 = 0.6.Fuel Switching: Electric Heat to Gas/Propane/Oil Heat Measure NameFuel Switching: Electric Heat to Gas/Propane/Oil HeatTarget SectorResidential EstablishmentsMeasure UnitGas, Propane, or Oil HeaterUnit Energy SavingsVariable based on system and locationUnit Peak Demand ReductionVariable based on system and locationMeasure Life2015 yearsVintageReplace on BurnoutVintageReplace on BurnoutThis protocol documents the energy savings attributed to converting from an existing electric heating system to a new natural gas, propane, or oil furnace or boiler in a residential home.The baseline for this measure is an existing residential home with an electric primary heating source. The heating source can be electric baseboards, electric furnace, or electric air source heat pump.Eligibility The target sector primarily consists of single-family residences.The retrofit condition for this measure is the installation of a new standard efficiency natural gas, propane, or oil furnace or boiler. 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). ENERGY 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.EquipmentEnergy Star RequirementsGas FurnaceFurnaceSource 1AFUE rating of 95% or greaterLess than or equal to 2.0% Furnace fan efficiencymust have electronically commutated fan motor (ECM)Less than or equal to 2.0% air leakageOil Furnace Source 1AFUE rating of 85% or greaterLess than or equal to 2.0% Furnace fan efficiencymust have electronically commutated fan motor (ECM)Less than or equal to 2.0% air leakageGas Boiler Source 2AFUE rating of 8590% or greaterOil Boiler Source 2AFUE rating of 87% or greaterAlgorithmsThe energy savings are the full energy consumption of the electric heating source minus the energy consumption of the fossil fuel furnace blower motor. EDC’sEDCs may use billing analysis using program participant data to claim measure savings, in lieu of the defaults provided in this measure protocol. The energy savings are obtained through the following formulas:Heating savings with electric furnace (assumes 10095% efficiency):Energy Impact:?kWhyrelec furnace =CAPYelec heat×EFLHelec furnace3412BtukWh? kWh =EFLHheat,non-HP×CAPYelec 3.241BTUWhHeating savings with electric baseboards (assumes 100% efficiency):Energy Impact:?kWhyrelec bb heat =CAPYelec heat×EFLHelec bb3412BtukWh-HPmotor×746Whp×EFLHfuel furnaceηmotor×1000WkW? kWh =EFLHheat,non-HP×CAPYelec3.412BTUWh-HPmotor×0.746kWhpηmotorHeating savings with electric air source heat pump:Energy Impact:ΔkWh/yrASHP heat =CAPYASHP heat ×EFLHASHP HSPFASHP×1000WkW - HPmotor×746WHP×EFLHfuel furnaceηmotor×1000WkWΔkWh =EFLHheat,HP×CAPYHP heatHSPF - EFLHheat,non-HP×HPmotor×0.746kWhpηmotorFor 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 is a significant electric savings, there is also an associated increase in natural gas energy consumption. While this gas 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 formulas:Gas consumption with fossil fuel furnace:Gas Consumption (MMBtu) =CAPY fuel heat × EFLHfuel furnaceAFUE fuel heat × 1,000,000BtuMMBtu?MMBTU = -?kWh×0.003412MMBTUkWhDefinition of TermsThe default values for each term are shown in the table below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 1522: Default values: Terms, Values, and References for algorithm terms, Fuel Switching,: Electric Heat to Gas HeatTermUnitsValueSourceCAPYelec heat , Total heating capacity of existing electric baseboards or electric furnaceBtuhrkBTUhrNameplateEDC Data GatheringEDC Data GatheringCAPYASHPCAPYHP heat , Total heating capacity of existing electric ASHPBtuhrkBTUhrNameplateEDC Data GatheringEDC Data GatheringCAPYfuel heat , Total heating capacity of new natural gas furnaceBtuhrNameplateEDC Data GatheringEFLHASHPEFLHheat,HP , Equivalent Full Load Heating hours for Air Source Heat PumpshoursyrAllentown = 1,193Erie = 1,349Harrisburg = 1,103Philadelphia = 1,060Pittsburgh = 1,209Scranton = 1,296Williamsport = 1,251See EFLHheat,HP values in Vol. 1, App. A2014 PA TRM REF _Ref414026079 \h Table 212, in Electric HVAC section3OptionalAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref373317790 \h \* MERGEFORMAT Table 216) or EDC Data GatheringEFLHelec furnace , Equivalent Full Load Heating hours for Electric Forced Air FurnaceshoursyrAllentown = 1,000Erie = 1,075Harrisburg = 947Philadelphia = 934Pittsburgh = 964Scranton = 1,034Williamsport = 1,0111OptionalAn EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref395128364 \h \* MERGEFORMAT Table 217) or EDC Data GatheringEFLHelec bbEFLHheat,non-HP , Equivalent Full Load Heating hours for Electric Baseboard systemsfurnaces, boilers, and electric baseboardshoursyrAllentown = 1,321Erie = 1,396Harrisburg = 1,265Philadelphia = 1,236Pittsburgh = 1,273Scranton = 1,357Williamsport = 1,354See EFLHheat,non-HP values in Vol. 1, App. A13OptionalAn EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref395128378 \h \* MERGEFORMAT Table 218) or EDC Data GatheringEFLHfuel furnace , Equivalent Full Load Heating hours for Fossil Fuel Furnace systemshoursyrAllentown = 1,022Erie = 1,098Harrisburg = 969Philadelphia = 955Pittsburgh = 985Scranton = 1,056Williamsport = 1,0331OptionalAn EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref364173198 \h \* MERGEFORMAT Table 219) or EDC Data GatheringEFLHfuel boiler , Equivalent Full Load Heating hours for Fuel BoilershoursyrAllentown = 1,334Erie = 1,411Harrisburg = 1,279Philadelphia = 1,249Pittsburgh = 1,283Scranton = 1,371Williamsport = 1,3541OptionalAn EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref373317812 \h \* MERGEFORMAT Table 220) or EDC Data GatheringHSPFASHPHSPF , Heating Seasonal Performance Factor for existing heat pumpBtuW ? hrBTUW ? hrEDC Data Gathering orDefault = 7.78.22010 PA TRM Table 2-10EDC Data Gathering4NameplateEDC Data GatheringAFUEfuel heat , Annual Fuel Utilization Efficiency for the new gas or oil furnace or boiler%EDC Data Gathering orDefault = 95% (natural gas/propaneDefaults:NG/LPG furnace) = 95%95% (natural gas/propane steamNG/LPG boiler) = 90%95% (natural gas/propane hot water boiler)85% (Oil furnace) = 85%85% (oil steamOil boiler)85% (oil hot water boiler) = 87%ENERGY STAR requirementEDC Data Gathering1,2NameplateEDC Data GatheringHPmotor , Gas Furnace blower motor horsepowerhpEDC Data Gathering orDefault = ?Average blower motor capacity for gas furnace (typical range = ? hp to ? hp)EDC Data Gathering5NameplateEDC Data Gatheringηmotor , Efficiency of furnace blower motor%EDC Data Gathering orDefault = 50%EDC Data GatheringTypical efficiency of ? HP blower motorAlternate Equivalent Full Load Hour (EFLH) Tables REF _Ref373317790 \h Table 216 through REF _Ref373317812 \h Table 220 below, show heating EFLH by city and for each EDC’s housing demographics. In order to determine the most appropriate EFLH value to use for a project, first select the type of electric heating equipment being replaced, then the appropriate EDC. Next, from the column, pick the closest city to the project location. The value shown in that cell will be the EFLH value to use for the project.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 16: Alternate Heating EFLH for Air Source Heat PumpsPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown1112105711221165126512261320Erie1255120412731317142013761494Harrisburg102897410351077117411381219Philadelphia98694010011039113410981165Pittsburgh1124106811331175127412341347Scranton1203115112181261136513211445Williamsport1161111011751218132012781392Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 17: Alternate Heating EFLH for Electric FurnacesPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown914890952991107910371100Erie98696410271064115011081183Harrisburg86683790094010279861041Philadelphia85482789393110189761021Pittsburgh88285491495010339941068Scranton9459229831020110710641144Williamsport924902961998108510431118Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 18: Alternate Heating EFLH for Electric Baseboard HeatingPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown1355120412801334135113551326Erie1432128713601408142614301395Harrisburg1300114412241280129812991271Philadelphia1272111511941247126812691242Pittsburgh1301115812301281129714311277Scranton1389124513171369138513851366Williamsport1373123013031351137113711394Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 19: Alternate Heating EFLH for Fossil Fuel FurnacesPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown9349199851023111610711106Erie100799510601098118811441190Harrisburg887865931973106410181048Philadelphia873855922962105510071027Pittsburgh900882945982106710241075Scranton96595110161053114410991149Williamsport9449319931031112110781124Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 20: Alternate Heating EFLH for Fossil Fuel BoilersPPLPenelecMet EdWest PennDuquesnePenn PowerPECOAllentown1366121412891346136313641347Erie1445129913701422144014401417Harrisburg1312115512341290130813091291Philadelphia1281112512051261127812801260Pittsburgh1315116912401294131113111292Scranton1400125613301378139913971386Williamsport1384123813131365138213831364Evaluation 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 REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models 40% oversizing of heat systems.Ductless Mini-Split Heat PumpsMeasure NameDuctless Heat PumpsTarget SectorResidential EstablishmentsMeasure UnitDuctless Heat PumpsUnit Energy SavingsVariable based on efficiency of systemsUnit Peak Demand ReductionVariable based on efficiency of systemsMeasure Life15 yearsVintageReplace on BurnoutENERGY STAR Version 5.0 ductless “mini-split” heat pumps 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 home into an efficient single or multi-zonal ductless heat pump system. Homeowners have the choice to install an ENERGY STAR qualified model or a standard efficiency model. EligibilityThis protocol documents the energy savings attributed to ductless mini-split heat pumps with energy efficiency performance of 15/12.5 SEER/EER and 8.5 HSPF or greater with inverter technology. The baseline heating system could be: Existing electric resistance heatingElectric space heaters used as the primary heating source when fossil fuel (other than natural gas) heating systems failed (referred to as de facto heating) A lower-efficiency ductless heat pump system A ducted heat pump Electric furnace A non-electric fuel-based system. The baseline cooling system can be: A standard efficiency heat pump system A central air conditioning system A room air conditionerIn addition, this could be installed in new construction or an addition. For new construction or addition applications, the baseline assumption is a standard-efficiency ductless unit. The DHP systems could be installed as the primary heating or cooling system for the house or as a secondary heating or cooling system for a single room.AlgorithmsThe savings depend on three main factors: baseline condition, usage (primary or secondary heating system), and the capacity of the indoor unit. The algorithm is separated into two calculations: single zone and multi-zone ductless heat pumps. The savings algorithm is as follows:Single Zone?kWhyr =?kWhyrcool+?kWhyrheat?kWhyrheat =CAPYheat1000WkW×OF×DLFHSPFbase-1HSPFee×EFLHheat?kWhyrcool =CAPYcool1000WkW×OF×DLFSEERbase-1SEERee×EFLHcool?kWpeak =CAPYcool1000WkW×OF×DLFEERbase-1EERee×CFMulti-Zone?kWhyr =?kWhyrcool+?kWhyrheat?kWhyrheat =CAPYheat1000WkW×OF×DLFHSPFbase 1-1HSPFee×EFLHheatzone 1+CAPYheat1000WkW×OF×DLFHSPFbase 2-1HSPFee×EFLHheatzone 2+…+CAPYheat1000WkW×OF×DLFHSPFbase n-1HSPFee×EFLHheatzone n?kWhyrcool =CAPYcool1000WkW×OF×DLFSEERbase 1-1SEERee×EFLHcoolzone 1+CAPYcool1000WkW×OF×DLFSEERbase 2-1SEERee×EFLHcoolzone 2+…+CAPYcool1000WkW×OF×DLFSEERbase n-1SEERee×EFLHcoolzone n?kWpeak =CAPYcool1000WkW×OF×DLFEERbase 1-1EERee×CFzone 1+CAPYcool1000WkW×OF×DLFEERbase 2-1EERee×CFzone 2+…+CAPYcool1000WkW×OF×DLFEERbase n-1EERee×CFzone nDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 21: DHP – Values and ReferencesTermUnitValuesSourcesCAPYcool, The cooling (at 47° F) capacity of the Ductless Heat Pump unitBtuhourEDC Data GatheringAEPS Application; EDC Data GatheringCAPYheat, The heating (at 47° F) capacity of the Ductless Heat Pump unitBtuhourEDC Data GatheringAEPS Application; EDC Data GatheringEFLH primary , Equivalent Full Load Hours of the primary system – If the unit is installed as the primary heating or cooling system, as defined in REF _Ref274917883 \h \* MERGEFORMAT Table 222hoursyearAllentown Cooling = 487 HoursAllentown Heating = 1,193 HoursErie Cooling = 389 HoursErie Heating = 1,349 HoursHarrisburg Cooling = 551 HoursHarrisburg Heating = 1,103 HoursPhiladelphia Cooling = 591 HoursPhiladelphia Heating = 1,060 HoursPittsburgh Cooling = 432 HoursPittsburgh Heating = 1,209 HoursScranton Cooling = 417 HoursScranton Heating = 1,296 HoursWilliamsport Cooling = 422 HoursWilliamsport Heating = 1,251 Hours1hoursyearAn EDC can either use the Alternate EFLH REF _Ref364157543 \h \* MERGEFORMAT Table 214 or estimate its own EFLH based on customer billing data analysisEDC Data GatheringEFLH secondary, Equivalent Full Load Hours of the secondary system – If the unit is installed as the secondary heating or cooling system, as defined in REF _Ref274917883 \h \* MERGEFORMAT Table 222hoursyearAllentown Cooling = 243 HoursAllentown Heating = 800 HoursErie Cooling = 149 HoursErie Heating = 994 HoursHarrisburg Cooling = 288 HoursHarrisburg Heating = 782 HoursPhiladelphia Cooling = 320 HoursPhiladelphia Heating = 712 HoursPittsburgh Cooling = 228 HoursPittsburgh Heating = 848 HoursScranton Cooling = 193 HoursScranton Heating = 925 HoursWilliamsport Cooling = 204 HoursWilliamsport Heating = 875 hours2, 3HSPFbase, “Heating Seasonal Performance Factor”- heating efficiency of baseline unitBtuW?hStandard DHP: 8.2Electric resistance or de facto space heaters: 3.412ASHP: 8.2Electric furnace: 3.242No existing or non-electric heating: use standard DHP: 8.24, 6SEERbase, “Seasonal Energy Efficiency Ratio” - Cooling efficiency of baseline unitBtuW?hDHP or ASHP: 14Central AC: 13Room AC: 11.3No existing cooling for primary space: use Central AC: 13No existing cooling for secondary space: use Room AC: 11.35, 6, 7HSPFee, “Heating Seasonal Performance Factor”- heating efficiency of installed DHPBtuW?hBased on nameplate information. Should be at least ENERGY STAR.AEPS Application; EDC Data GatheringSEERee, “Seasonal Energy Efficiency Ratio” - Cooling efficiency of installed DHPBtuW?hBased on nameplate information. Should be at least ENERGY STAR.AEPS Application; EDC Data GatheringOF, “Oversize factor” factor to account for the fact that the baseline unit is typically 40%-50% oversized. In the case of de facto space heaters, the baseline capacity is typically undersized.NoneEDC Data Gathering, whereOF=CAPYbaseCAPYeeDefault Depends on baseline condition:Central AC=1.5Central ASHP=1.4Electric Furnace=1.4Electric Baseboard=1.4De facto Space Heaters=0.6Room AC: 1.0Ductless Heat Pump: 1.01, 11 (de facto space heaters)DLF, “Duct Leakage Factor” accounts for the fact that a % of the energy is lost to duct leakage and conduction for ducted systems, but not ductless onesNoneDepends on baseline condition:Central AC=1.15Central ASHP=1.15Electric Furnace=1.15Electric Baseboard=1.00De facto Space Heaters= 1.00Room AC: 1.00Ductless Heat Pump: 1.010CF, Coincidence FactorDecimal0.6478EERbase, The Energy Efficiency Ratio of the baseline unit*BtuW?h= (11.3/13) X SEERbase for central AC or no existing cooling=(12/14) X SEERbase for DHP= 9.8 room AC5,9EERee, The Energy Efficiency Ratio of the installed DHPBtuW?h= (12/14) X SEEReeBased on nameplate information. Should be at least ENERGY STAR.AEPS Application; EDC Data Gathering*The existing EERbase value for ductless heat pumps applies to air source heat pumps (i.e., the EERbase value for ASHPs equals (12/14) x SEERbase).Definition of Heating ZoneDefinition of primary and secondary heating systems depends primarily on the location where the source heat is provided in the household, and shown in REF _Ref274917883 \h Table 222.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 22: DHP – Heating ZonesComponentDefinitionPrimary Heating ZoneLiving roomDining room House hallwayKitchen areasFamily RoomRecreation RoomSecondary Heating ZoneBedroom Bathroom Basement Storage RoomOffice/Study Laundry/MudroomSunroom/Seasonal RoomEvaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings. A sample of pre- and post-metering is recommended to verify heating and cooling savings but billing analysis will be accepted as a proper form of savings verification and evaluation.SourcesBased on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Secondary cooling load hours based on room air conditioner “corrected” EFLH work paper that adjusted the central cooling hours to room AC cooling hours; see Section REF _Ref395128849 \r \h \* MERGEFORMAT 2.2.5 Room AC Retirement measure.Secondary heating hours based on a ratio of HDD base 68 and base 60 degrees F. The ratio is used to reflect the heating requirement for secondary spaces is less than primary space as the thermostat set point in these spaces is generally lowered during unoccupied time periods. Using the relation HSPF=COP*3.412, HSPF = 3.412 for electric resistance heating. Electric furnace efficiency typically varies from 0.95 to 1.00, so similarly a COP of 0.95 equates to an HSPF of 3.241. U.S. Federal Standards for Residential Air Conditioners and Heat Pumps. Effective 1/1/2015. HYPERLINK "" 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 8/16/2010.SEER based on average EER of 9.8 for room AC unit. From Pennsylvania’s Technical Reference Manual.Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. Found at EER for SEER 13 unit. From Pennsylvania’s Technical Reference Manual.Assumption used in Illinois 2014 TRM, Ductless Heat Pumps Measure, pg. 531, footnote 877. Reasonable assumption when compared to HYPERLINK "" and Residential HVAC and Distribution Research Implementation,. Berkeley Labs. May, 2002, pg 6. HYPERLINK "" used to calculate a default value for de facto heating system OF: Four (4) 1500 W portable electric space heaters in use in the home with capacity of 1500 × 3.412 × 4 = 20,472 BTU, replaced by DHP with combined heating capacity of 36,000 BTU. OF = 20,472 / 36,000 = 0.6.ENERGY STAR Program Requirements: Product Specification for Boilers, v3.0. HYPERLINK "" STAR Program Requirements: Product Specification for Furnaces, v4.1. HYPERLINK "" on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" Act 129 2018 Residential Baseline Study, HYPERLINK "" blower motor capacity for gas furnace, typical range = ? to ? HP.ENERGY STAR Room Air ConditionersMeasure NameRoom Air ConditionersTarget SectorResidential EstablishmentsMeasure UnitRoom Air ConditionerUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life9 yearsyearsSource 1VintageReplace on BurnoutVintageReplace on BurnoutEligibility This measure relates to the purchase and installation of a room air conditioner meeting ENERGY STAR Version 4.01 criteria.AlgorithmsAlgorithmsThe general form of the equation for the ENERGY STAR Room Air Conditioners (RAC) measure savings algorithm is:Total Savings=Number of Room Air Conditioners× Savings per Room Air ConditionerTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of room air conditioners. The number of room air conditioners will be determined using market assessments and market tracking.As of June 1, 2014 RAC units will have a “CEER” rating as well as an “EER”.. CEER is the “Combined Energy Efficiency Ratio”,, which incorporates standby power into the calculation. This will be the value used in the ?kWhyr calculation. savings algorithm.?kWhyr =CAPY1000WkW×1CEERbase-1CEERee? kWh =CAPY×1CEERbase-1CEERee×EFLHRAC ?kWpeak =CAPY1000WkW×1CEERbase-1CEERee=CAPY×1CEERbase-1CEERee×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 23: Terms, Values, and References for ENERGY STAR Room AC - ReferencesComponentTermUnitValueSourcesCAPY, The cooling capacity of the room air conditioner (RAC) being installedBtuhrBTUhrEDC Data GatheringDefault = 7,5005CEERbase, Combined Energy Efficiency ratio of the baseline unitBtuW?hBTUW?hFederal Standard Values in: REF _Ref373318279 \h Table 224 REF _Ref373318325 \h Table 225 REF _Ref373318334 \h Table 226 Federal Standard Values in REF _Ref532395153 \h \* MERGEFORMAT Table 224, REF _Ref532395131 \h \* MERGEFORMAT Table 225, or REF _Ref532395052 \h \* MERGEFORMAT Table 226Default = 11.012CEERee, Combined Energy efficiency ratio of the RAC being installedBtuW?hBTUW?hEDC Data Gathering Default = ENERGY STAR values in: REF _Ref373318279 \h Table 224 REF _Ref373318325 \h Table 225 REF _Ref373318334 \h Table 226 in REF _Ref532395153 \h \* MERGEFORMAT Table 224, REF _Ref532395131 \h \* MERGEFORMAT Table 225, or REF _Ref532395052 \h \* MERGEFORMAT Table 22623EFLHRAC, Equivalent full load hours of the RAC being installedhoursyear REF _Ref373318399 \h \* MERGEFORMAT Table 227or alternate EFLHcool values × an Adjustment Factor in Section REF _Ref395189967 \r \h 2.2.5See EFLHRAC in Vol. 1, App. A34CF, Demand coincidence factorFractionProportionDefault: 0.30Or EDC data gatheringSee CF in Vol. 1, App. A4 REF _Ref373318279 \h \* MERGEFORMAT Table 224 REF _Ref532395153 \h Table 224 lists the minimum federal efficiency standards as of June 2014October 2018 and minimum ENERGY STAR efficiency standards for RAC units of various capacity ranges and 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 metric (CEER), which is a metric that incorporates energy use in all modes, including standby and off modes.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 24: RAC (without reverse cycle) Federal Minimum Efficiency and ENERGY STAR Version 4.01 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 24–27,9999.410.39.410.325,000 to 27,9999.010.3≥28,0009.09.99.410.3 REF _Ref373318325 \h \* MERGEFORMAT Table 225 REF _Ref532395131 \h Table 225 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 or less and a height of 11.2 inches or less. 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 or less.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 25: Casement-Only and Casement-Slider RAC Federal Minimum Efficiency and ENERGY STAR Version 4.01 StandardsCasementFederal Standard CEERENERGY STAR CEERCasement-only9.510.5Casement-slider10.411.4 REF _Ref373318334 \h \* MERGEFORMAT Table 226 REF _Ref532395052 \h Table 226 lists the minimum federal efficiency standards and minimum ENERGY STAR efficiency standards for reverse-cycle RAC units.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 26: Reverse-Cycle RAC Federal Minimum Efficiency Standards and ENERGY STAR Version 4.01 StandardsCapacity (BTU/h)Federal Standard CEER, with louvered sidesENERGY STAR CEER, with louvered sidesFederal Standard CEER, without louvered sidesENERGY STAR CEER, without louvered sides< 14,000n/an/a9.310.2≥ 14,0008.79.6< 20,0009.810.8n/an/a≥ 20,0009.310.2Default Savings REF _Ref413850900 \h \* MERGEFORMAT Table 227 provides deemed EFLH by city and default energy savings values (assuming CAPY=8,000 Btu/hr, louvered sides, no reverse cycle) if efficiency and capacity information is unknown. Alternate EFLHcool values from REF _Ref364157537 \h \* MERGEFORMAT Table 213 in Section REF _Ref395171402 \r \h 2.2.1 may be used in conjunction with the Adjustment Factor (AF) in Section 2.2.5 to find EFLHRAC if desired.Default energy savings values assume a CAPY=7,500 BTU/hrSource 5, louvered sides, no reverse cycle unit (CEERbase = 11.0, CEERee = 12.1).Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 27: Deemed EFLH and Default Energy SavingsCityClimate RegionEFLHRACReference CityΔkWh/yrΔkWpeakAllentownC151Allentown10.211.00.0202022ABinghamton, NY6.40.016GBradford4.00.014ErieI121Erie8.19.00.0202016HarrisburgE171Harrisburg11.514.10.0202028PhiladelphiaD183Philadelphia12.315.00.0202026PittsburghH134Pittsburgh9.010.50.0202023ScrantonB129Scranton8.79.10.0202020WilliamsportF131Williamsport8.810.70.0202024Evaluation 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.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.SourcesFederal standards: U.S. Department of Energy. Code of Federal Regulations. 10 CFR, part 430.32(b). Effective June 1, 2014. STAR Program Requirements Product Specification for Room Air Conditioners, Eligibility Criteria Version 4.0. October 26, 2015. HYPERLINK "" . October 26, 2015. on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps. Consistent with CFs found in RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" \t "_blank" average for all housing types from Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" AC (RAC) RetirementMeasure NameRoom A/C RetirementTarget SectorResidential EstablishmentsMeasure UnitRoom A/CUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life4 years3 yearsSource 1VintageEarly Retirement, Early ReplacementThis measure is defined as retirement and recycling without replacement of an operable but older and inefficient room AC (RAC) unit that would not have otherwise been recycled. The assumption is that these units will be permanently removed from the grid rather than handed down or sold for use in another location by another EDC customer, and furthermore that they would not have been recycled without this program. This measure is quite different from other energy-efficiency measures in that the energy/demand savings is not the difference between a pre- and post- configuration, but is instead the result of complete elimination of the existing RAC.EligibilityThe savings are not attributable to the customer that owned the RAC, but instead are attributed to a hypothetical user of the equipment had it not been recycled. Energy and demand savings is the estimated energy consumption of the retired unit over its remaining useful life (RUL). AlgorithmsAlthough this is a fully deemed approach, any of these values can and should be evaluated and used to improve the savings estimates for this measure in subsequent TRM revisions.Retirement-OnlyAll EDC programs are currently operated under this scenario. For this approach, impacts are based only on the existing unit, and savings apply only for the remaining useful life (RUL) of the unit.?kWhyr kWh =CAPY1000WkW×EERRetRACCAPYEERRetRAC×EFLHRAC?kWpeak =CAPY1000WkW×EERRet RAC×CFRACCAPYEERRetRAC×CFReplacement and RecyclingIt is not apparent that any EDCs are currently implementing the program in this manner, but the algorithms are included here for completeness. For this approach, the ENERGY STAR upgrade measure would have to be combined with recycling via a turn-in event at a retail appliance store, where the old RAC is turned in at the same time that a new one is purchased. Unlike the retirement-only measure, the savings here are attributed to the customer that owns the retired RAC, and are based on the old unit and original unit being of the same size and configuration. In this case, two savings calculations would be needed. One would be applied over the remaining life of the recycled unit, and another would be used for the rest of the effective useful life, as explained below.For the remaining useful life (RUL) of the existing RAC: The baseline value is the EER of the retired unit.?kWhyr =CAPY1000WkW×1EERRetRAC-1EERee? kWh =CAPY×1EERetRAC-1EERee×EFLHRAC?kWpeak =CAPY1000WkW×1EERRetRAC-1EERee=CAPY×1EERRetRAC-1EERee×CFRACCFAfter the RUL for (EUL-RUL) years: The baseline EER would revert to the minimum Federal appliance standard CEER. As of June 1, 2014 RAC units will have a “CEER” rating in addition to an “EER”. CEER is the “Combined Energy Efficiency Ratio”, which incorporates standby power into the calculation. This will be the value used in the ?kWhyr calculation. (CEER was not used in the previous equations, however, since older units were not qualified with this metric). kWh calculation.?kWhyr =CAPY1000WkW×1CEERbase-1CEERee? kWh =CAPY×1CEERbase-1CEERee×EFLHRAC?kWpeak =CAPY1000WkW×1CEERbase-1CEERee×CFRAC=CAPY×1CEERbase-1CEERee×CFDefinition of TermsCorrection of ES RAC EFLH Values:An additional step is required to determine EFLHRAC values. Normally, the EFLH values from the ENERGY STAR Room AC Calculator would be used directly, however, the current (July 2010) ES Room AC calculator EFLHs appear unreasonably high and are in the range of those typically used for the Central AC calculator. In reality, RAC full load hours should be much lower than for a CAC system and, as such, the EFLHRAC values were calculated from CAC EFLH values as follows:EFLHRAC = EFLH cool × AF Where:Note that when the ENERGY STAR RAC calculator values are eventually corrected in the ES calculator, the corrected EFLHES-RAC values can be used directly and this adjustment step can be ignored and/or deleted.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 28: Terms, Values, and References for Room AC Retirement Calculation AssumptionsComponentTermUnitValueSourcesEFLHRAC , Equivalent Full Load Hours of operation for the installed measure. In actuality, the number of hours and time of operation can vary drastically depending on the RAC location (living room, bedroom, home office, etc.).hours yr REF _Ref364172289 \h \* MERGEFORMAT Table 229See EFLHRAC in Vol. 1, App. A1EFLH cool , Full load hours from REM/Rate modelinghours yr REF _Ref364172289 \h \* MERGEFORMAT Table 2291hours yrThe Alternate EFLHCOOL values in REF _Ref364157537 \h \* MERGEFORMAT Table 213 may be usedAF , Adjustment factor for correcting current ES Room AC calculator EFLHs.None0.312CAPY , Rated cooling capacity (size) of the RAC unit.BtuhrkBTUhrEDC Data GatheringDefault: 7,8705003EERRetRAC , The Energy Efficiency Ratio of the unit being retired-recycled.BtuW?hBTUW?hDefault: 9.07; or EDC Data GatheringDefault: 9.84EERee , The Energy Efficiency Ratio for an ENERGY STAR RACBtuW?hBTUW?h12.156CEERbase , (for a 8,000 BTU/h unit), The Combined Energy Efficiency Ratio of a RAC that just meets the minimum federal appliance standard efficiency.BtuW?hBTUW?h10.911.05CEERee , (for a 8,000 BTU/h unit), The Combined Energy Efficiency Ratio for an ENERGY STAR RAC.BtuW?hBTUW?hEDC Data GatheringDefault=12.015CFracCF , Demand Coincidence Factor FractionProportionEDC Data GatheringDefault= 0.30See CF in Vol. 1, App. A72RAC Time Period Allocation Factors%65.1%, 34.9%, 0.0%, 0.0%6Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 29: RAC Retirement-Only EFLH and Energy Savings by CityClimate RegionReference CityOriginalHours (EFLH cool )CorrectedHours (EFLHRAC)Energy Impact(kWh)Demand Impact (kW)CAllentown487136.21511310.2603271ABinghamton, NY78.80.203GBradford49.00.167IErie389111.01210.203105EHarrisburg551173.71710.345148DPhiladelphia591185.21830.324159HPittsburgh432129.31340.282116BScranton417129112.50.249FWilliamsport422132.41310.299114Evaluation 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 LifeRoom Air Conditioner Retirement = 4 yearsFrom the PA TRM, the EUL for an ENERGY STAR Room Air Conditioner is 10 years, but the TRM does not provide an RUL for RACs. However, as shown in REF _Ref267483746 \h \* MERGEFORMAT Table 230, the results from a recent evaluation of ComEd’s appliance recycling program found a median age of 21 to 25 years for recycled ACs. For a unit this old, the expected life of the savings is likely to be short, so 4 years was chosen as a reasonable assumption based on these references:DEER database, presents several values for EUL/RUL for room AC recycling: HYPERLINK "" 0607 recommendation: EUL=9, RUL=1/3 of EUL = 3 years. The 1/3 was defined as a “reasonable estimate”, but no basis given.2005 DEER: EUL=15, did not have recycling RULAppliance Magazine and ENERGY STAR calculator: EUL=9 yearsCA IOUs: EUL=15, RUL=5 to 7“Out With the Old, in With the New: Why Refrigerator and Room Air Conditioner Programs Should Target Replacement to Maximize Energy Savings,” National Resources Defense Council, November 2001, page 21, 5 years stated as a credible estimate.From the PA TRM June 2010, if the ratio of refrigerator recycling measure life to ENERGY STAR measure life is applied: (8/13) * 10 years (for RAC) = 6 years for RAC recycling.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 30: Preliminary Results from ComEd RAC Recycling EvaluationAppliance TypeAge in YearsN0 to 56 to 1011 to 1516 to 2021 to 2526 to 3031 to 3536 to 40Over 40Room Air Conditioners0%5%7%18%37%18%5%6%5%—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 REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps. California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" \t "_blank" Atlantic TRM Version 17.0. April 28, 2010 Draft. May, 2017. Prepared by Vermont Energy Investment Corporation. An adjustment to the ES RAC EFLHs of 31% was used for the “Window A/C” measure. The average ratio of EFLH for Room AC provided in RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008 ( HYPERLINK "" %20Res%20RAC.pdf) to FLH for Central Cooling for the same location (provided by AHRI: <; is 31%. This factor was applied to the EFLH for Central Cooling provided for PA cities and averaged to come up with the assumption for EFLH for Room AC.” HYPERLINK "" average capacity of RAC units, 2014 Pennsylvania Act 129 2018 Residential Baseline Study. Massachusetts TRM, Version 1.0, October 23, 2009, “Room AC Retirement” measure, Page 52-54. Assumes an existing/recycled unit EER=9.07, reference is to weighted 1999 AHAM shipment data. This value should be evaluated and based on the actual distribution of recycled units in PA and revised in later TRMs if necessary. Other references include:ENERGY STAR website materials on Turn-In programs, if reverse-engineered indicate an EER of 9.16 is used for savings calculations for a 10 year old RAC. Another statement indicates that units that are at least 10 years old use 20% more energy than a new ES unit which equates to: 10.8 EER/1.2 = 9?EER, HYPERLINK "" HYPERLINK "" .“Out With the Old, in With the New: Why Refrigerator and Room Air Conditioner Programs Should Target Replacement to Maximize Energy Savings.” National Resources Defense Council, November Minimum Federal Standard for most common room AC type (8000-14,999 capacity range with louvered sides) per federal standards from 10/1/2000 to 5/31/2014. Note that this value is the EER value, as CEER were introduced later.ENERGY STAR Program Requirements Product Specification for Room Air Conditioners, Eligibility Criteria Version 4.1. October 26, 2015. HYPERLINK "" . Page 3, Cites a 7.5?EER as typical for a room air conditioner in use in 1990s. However, page 21 indicates an 8.0 EER was typical for a NYSERDA program.ENERGY STAR Version 4.0 and Federal Appliance Standard minimum CEER and EER for a 8000 Btu/hr unit with louvered sides. ENERGY STAR EER derived using version 4.0 CEER requirement and ratio of EER to CEER from Version 3.1. Version 3.1 has both EER and CEER requirements for each RAC size and type. Version 4.0 does not. Therefore, the ratio of EER requirement to CEER requirement for an 8000 Btu/h unit with louvered sides (11.3/11.2) was applied to the CEER requirement (12.0) in Version 4.0 to get an equivalent EER of 12.1. TRM June 2010, coincident demand factor and Time Period Allocation Factors for ENERGY STAR Room AC.Consistent with CFs found in RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008.Duct Sealing & Duct InsulationMeasure NameDuct SealingTarget SectorResidential EstablishmentsMeasure UnitOffice Equipment DeviceDuct Sealing and/or Insulation ProjectUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life(15max, 20 actual for TRC) years15 yearsSource 1VintageRetrofitVintageRetrofitThis measure describes evaluating the savings associated with performing duct sealing using mastic sealant or metal tape to the distribution system of homes with either central air conditioning or a ducted heating system. The measure also applies to insulating ductwork in unconditioned and semi-conditioned spaces of residential buildings.Three methodologies for estimating the savings associatedIf duct insulation is involved with sealing ducts are provided.the improvement, the first two require the use of a blower door and the thirdmethod, “Evaluation of Distribution Efficiency,” must be used to estimate energy savings.Evaluation of Distribution Efficiency – this methodology requires careful inspection of the duct the evaluation of three duct characteristics below, and use of the Building Performance Institute’s (BPI) “Guidance on Estimating Distribution Efficiency”,Source 2 which are summarized in REF _Ref531072530 \h Table 231 and REF _Ref527037772 \h Table 232 for convenience.Duct location, including percentage of duct work. found within the conditioned spaceModified Blower Door Subtraction – this method involves performing a whole house depressurization test, an envelope depressurization test that excludes duct leakage, and finally a duct leakage pressurization test under envelope depressurization. The subtraction of the envelope leakage in the second test from the whole house leakage in the first test, multiplied by a correction factor determined by the third test will provide an accurate measurement of the duct leakage to the outside. This technique is described in detail on p.44 of the Energy Conservatory Blower Door Manual; HYPERLINK "" leakage evaluation. The duct leakage assessment values are based on an assumption of 6.5% of assumed air handler flow (tight); 21% (average); or 35% (leaky).Source7 Duct insulation evaluationRESNET Test 803.7380 4.4.2 – this method involves the pressurization of the house to 25 Pascals with reference to outside and a simultaneous pressurization of the duct system to reach equilibrium with the envelope or inside pressure of zero Pascals. A blower door is used to pressurize the building to 25 Pascals with reference to outside, when that is achieved the duct blaster is used to equalize the pressure difference between the duct system and the house. The amount of air required to bring the duct system to zero Pascals with reference to the building is the amount of air leaking through the ductwork to the outside. This technique is described in detail in section 803.74.4.2 of the ANSI/RESNET/ICC 380 - 2016 Standards: of Distribution Efficiency – this methodology requires the evaluation of three duct characteristics below, and use of the Building Performance Institutes ‘Distribution Efficiency Look-Up Table; HYPERLINK "" Percentage of duct work found within the conditioned spaceDuct leakage evaluationDuct insulation evaluationEligibilityThe efficient condition is sealed duct work throughout the unconditioned space in the home. The existing baseline condition is leaky duct work within the unconditioned space in the home.AlgorithmsMethodology 1: Modified Blower Door Subtraction Evaluation of Distribution EfficiencyDetermine Duct Leakage rate before and after performing duct sealing CFM50DL=CFM50whole house – CFM50envelope only×SCFCalculate duct leakage reduction, convert to CFM25DL and factor in Supply and Return Loss FactorsΔCFM25DL = (CFM50DL (pre) -CFM50DL (post))×CONV×(SLF + RLF)Calculate Energy Savings ?kWhyrcooling = ?CFM25DLCapcool 12,000Btuhton×TCFM ×EFLH cool × Capcool SEER×1000WkW?kWhyrheating = ?CFM25DLCapheat 12,000Btuhton×TCFM ×EFLH heat × Capheat COP×3412BtukWhDetermine Distribution Efficiency by evaluating duct system before and after duct sealing using Building Performance Institute “Guidance on Estimating Distribution Efficiency” or the values reproduced from that document in REF _Ref531072530 \h Table 231 that match the duct system, and if the majority of the duct sytem is in conditioned space add the matching value from REF _Ref527037772 \h \* MERGEFORMAT Table 232, not to exceed 100%.?kWhcooling =DEpostcool - DEprecoolDEpostcool ×EFLHcool × CAPYcoolSEER ?kWhheating =DEpostheat - DEpreheatDEpostheat ×EFLHheat × CAPYheatHSPFMethodology 2: RESNET Test 803.7 Determine Duct Leakage rate before and after performing duct sealing ΔCFM25DB=CFM25BASE -– CFM25EECalculate Energy Savings Calculate Energy Savings ?kWhyrcooling = ?CFM25DBCapcool 12,000Btuhton×TCFM ×EFLH cool × Capcool SEER×1000WkW= ?CFM2525DBCAPYcool 12kBTUhton×TCFM ×EFLHcool × CAPYcool SEER?kWhyrheating = ?CFM25DBCapheat 12,000Btuhton×TCFM ×EFLH heat × Capheat COP×3412BtukWh?CFM2525DBCAPYheat 12kBTUhton×TCFM ×EFLHheat × CAPYheat HSPFMethodology 3: Evaluation of Distribution EfficiencyDetermine Distribution Efficiency by evaluating duct system before and after duct sealing using Building Performance Institute “Distribution Efficiency Look-Up Table” ?kWhyrcooling = DEafter - DEbeforeDEafter ×EFLH cool × CapcoolSEER ×1000WkW?kWhyrheating = DEafter - DEbeforeDEafter ×EFLH heat × CapheatCOP×3412BtukWhSummer Coincident Peak Demand Savings?kWpeak = ΔkWhcoolingEFLHcool ΔkWhcoolingEFLHcool × CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 3130: Duct Sealing –Terms, Values, and References for Duct SealingTermUnitValueSourceCF , Demand Coincidence Factor (See Section REF _Ref374020753 \r \h \* MERGEFORMAT 1.5) for central AC systemsDecimalProportionDefault = 0.647See CF in Vol. 1, App. A114CFM50whole house , Duct leakage at 50 Pascal pressure differentialft3minEDC Data GatheringEDC Data GatheringCFM25DB , Cubic feet per minute of air leaving the duct system at 25 Pascalsft3minEDC Data Gathering12CFM25BASE , Standard Duct Leakage test result at 25 Pascal pressure differential of the duct system prior to sealing, calculated from the duct blaster fan flow chartft3minEDC Data Gathering123CFM25DB , Cubic feet per minute of air leaving the duct system at 25 Pascalsft3minEDC Data Gathering3CFM25EE , Standard Duct Leakage test result at 25 Pascal pressure differential of the duct system after sealing, calculated from the duct blaster fan flow chartft3minEDC Data Gathering123CFM50envelope only , Standard Blower Door test result finding Cubic Feet per Minute at 50 Pascal pressure differentialft3minEDC Data GatheringEDC Data GatheringSCF , Subtraction Correction Factor to account for underestimation of duct leakage due to connections between the duct system and the home. Determined by measuring pressure in duct system with registers sealed, and using look up table provided by Energy ConservatoryNoneTable 4, on pg 45 of Minneapolis Blower Door? Operation Manual for Model 3 and Model 4 Systems (Source 10)7, 10Conv , Conversion factor from CFM50 to CFM25None0.642SLF , Supply Loss Factor (% leaks sealed located in Supply ducts x 1)NoneEDC Data GatheringDefault =0.54, EDC Data GatheringRLF , Return Loss Factor (Portion of % leaks sealed located in Return ducts x 0.5)NoneEDC Data GatheringDefault = 0.256, EDC Data GatheringCapcoolCAPYcool , Capacity of Air Cooling System BtukBTU/hrEDC Data GatheringEDC Data GatheringCapheatCAPYheat , Capacity of Air Heating SystemBtukBTU/hrEDC Data GatheringEDC Data GatheringTCFM , Conversion from tons of cooling to CFMCFMton40075SEER , Efficiency of cooling equipmentBtuW?hBTUW?hEDC Data GatheringDefault = 10Default: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.18, EDC Data Gathering6COPHSPF , Efficiency of Heating EquipmentNoneEDC Data GatheringDefault = 2.0Default: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.18, EDC Data Gathering6EFLHcool , Cooling equivalent full load hourshoursyearAllentown Cooling = 487 HoursErie Cooling = 389 HoursHarrisburg Cooling = 551 HoursPhiladelphia Cooling = 591 HoursPittsburgh Cooling = 432 HoursScranton Cooling = 417 HoursWilliamsport Cooling = 422 HoursSee EFLHcool in Vol. 1, App. A REF _Ref414026079 \h Table 2124OptionalAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See Section REF _Ref395171402 \r \h \* MERGEFORMAT 2.2.1); EDC Data GatheringEFLHheat , Heating equivalent full load hourshoursyearAllentown Heating = 1,193 HoursErie Heating = 1,349 HoursHarrisburg Heating = 1,103 HoursPhiladelphia Heating = 1,060 HoursPittsburgh Heating = 1,209 HoursScranton Heating = 1,296 HoursWilliamsport Heating = 1,251 HoursSee EFLHheat in Vol. 1, App. A REF _Ref414026079 \h Table 2124OptionalAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See Section REF _Ref395171402 \r \h \* MERGEFORMAT 2.2.1); EDC Data GatheringDEafterDEpost , Distribution efficiency after duct sealing and insulationNoneVariable REF _Ref531072530 \h Table 231, REF _Ref527037772 \h Table 232Not to exceed 100%7, 92DEbeforeDEpre , Distribution efficiency before duct sealing and insulationNoneVariable REF _Ref531072530 \h Table 231, REF _Ref527037772 \h Table 232Not to exceed 100%7, 92Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 31: Distribution Efficiency by Climate Zone; Conditioned Air Type; Duct Location, Leakage & InsulationInsulationLocationAtticBasementVented CrawlHVAC TypeHeatCoolHeatCoolHeatCoolLeakage \ CZ*4&564&564&564&564&564&56R-0Leaky69%64%61%61%93%92%81%92%74%71%76%90%Average73%68%64%66%94%94%87%95%78%74%83%93%Tight77%73%73%74%95%95%94%98%82%78%91%97%R-2Leaky76%73%65%67%94%94%83%92%80%78%78%91%Average82%79%74%75%96%95%88%95%85%83%85%94%Tight87%85%84%85%97%97%95%98%90%88%93%97%R-4+Leaky79%76%67%70%95%95%83%93%82%80%79%91%Average84%82%77%78%96%96%89%95%87%85%86%94%Tight90%89%87%88%98%98%95%98%92%91%94%97%R-8+Leaky80%78%69%71%95%95%83%93%84%82%79%91%Average86%84%79%80%97%97%89%95%89%87%87%94%Tight92%91%90%90%98%98%95%98%94%93%94%98%* Climate Regions A and G correspond to IECC Climate Zone 6, the rest of the state is IECC Climate Zone 4 or 5.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 32: Distribution Efficiency Adders for Cond. Space (%) by Conditioned Air; Duct Location, Leakage & InsulationLocationAtticBasementVented CrawlHVAC TypeHeatCoolHeatCoolHeatCool*Insulation \ Conditioned50%80%50%80%50%80%50%80%50%80%50%80%R-06%4%11%9%2%3%2%3%6%3%11%5%R-24%5%6%7%1%1%1%2%3%2%5%3%R-4+3%3%4%5%1%1%1%1%2%1%4%3%R-8+3%2%3%3%1%1%1%1%2%1%2%2%* In Climate Zone 6 (Climate Regions A & G), the cooling adder is fixed at 1% for ductwork in 80% conditioned space.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 Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, June 2007. HYPERLINK "" 25 Pascals is the standard assumption for typical pressures experienced in the duct system under normal operating conditions. To convert CFM50 to CFM25 you multiply by 0.64 (inverse of the “Can’t Reach Fifty” factor for CFM25; see Energy Conservatory Blower Door Manual).Assumes that for each percent of supply air loss there is one percent annual energy penalty. This assumes supply side leaks are direct losses to the outside and are not recaptured back to the house. This could be adjusted downward to reflect regain of usable energy to the house from duct leaks. For example, during the winter some of the energy lost from supply leaks in a crawlspace will probably be regained back to the house (sometimes 1/2 or more may be regained). More information provided in “Appendix E Estimating HVAC System Loss From Duct Airtightness Measurements” from HYPERLINK "" Assumes 50% of leaks are in supply ducts (Illinois Statewide TRM 2013).Assumes that for each percent of return air loss there is a half percent annual energy penalty. Note that this assumes that return leaks contribute less to energy losses than do supply leaks. This value could be adjusted upward if there was reason to suspect that the return leaks contribute significantly more energy loss than “average” (e.g. pulling return air from a super-heated attic), or can be adjusted downward to represent significantly less energy loss (e.g. pulling return air from a moderate temperature crawl space) . More information provided in “Appendix E Estimating HVAC System Loss from Duct Airtightness Measurements” from HYPERLINK "" Assumes 50% of leaks are in return ducts (Illinois Statewide TRM 2013).Illinois Statewide TRM, 2013, Section 5.3.4.Minimum Federal Standards for new Central Air Conditioners and Air Source Heat Pumps between 1990 and 2006 based on VEIC estimates.California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018. Limited to Act 129 maximum of 15 years.Building Performance Institute, Distribution Efficiency Table, HYPERLINK "" HYPERLINK "" . Reproduced by permission.Minneapolis Blower Door? Operation Manual for Model 3 and Model 4 Systems. HYPERLINK "" , Mary and Switzer, Sheldon."Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" Energy Services Network, Standards for Performance Testing. HYPERLINK "" WhistleBased on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" , Air conditioning & Refrigeration Distributors International HYPERLINK "" Act 129 2018 Residential Basline Study , HYPERLINK "" . Due to small sample sizes, GSHP is lowest efficiency value from BEopt v2.8.0, and PTAC and PTHP are minimum federal standard munication with Building Performance Institute.Air Handler Filter WhistlesMeasure NameFurnace WhistleTarget SectorResidential EstablishmentsMeasure UnitFurnaceFilter whistle (to promote regular filter change-out)Unit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life14 years5 yearsSource 6VintageRetrofitVintageRetrofitDirty air handler filters increase electricity consumption for the circulating fan. Filter whistles attach to the filter in the air handler, and make a sound when it is time to replace the filter.Source 7EligibilitySavings estimates are based on reduced furnace blower fan motor power requirements for winter and summer use of the blower fan motor. This furnaceair handler filter whistle measure applies to central forced-air furnaces, central AC and heat pump systems. Each table in this protocol (33 through 39) presents the annual kWh savings for each major urban center in Pennsylvania based on their respective estimated full load hours (EFLH). Where homes do not have A/C or heat pump systems for cooling, only the annual heating savings will apply.AlgorithmskWh=kWhheat+kWhcoolkWhheatkWh/yr =kWh/yrheat+kWh/yrcoolkWh/yrheat =kWmotor × EFLHheat × EI × ISRkWhcoolkWh/yrcool =kWmotor × EFLHcool × EI × ISR?kWpeak =?kWhyrcoolEFLHcool×CFkW=?kWhcool÷EFLHcool×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 3233: Furnace Whistle -: Terms, Values, and References for Air Handler Filter Whistle ComponentTermUnitValueSourceskWmotor , Average motor full load electric demand (kW)kW0.53771, 2EFLHheat , Estimated Full Load Hours (Heating ) for the EDC regionhoursyrVariable. See REF _Ref364421728 \h \* MERGEFORMAT Table 233See EFLHheat in Vol. 1, App. A REF _Ref414026079 \h Table 2125EFLHcool , Estimated Full Load Hours (Cooling) for the EDC region.hoursyrVariable. See REF _Ref364421728 \h \* MERGEFORMAT Table 233See EFLHcool in Vol. 1, App. A REF _Ref414026079 \h Table 2125EI , Efficiency Improvement%15%3, 62, 4ISR , In-service Rate%EDC Data GatheringDefault= 47.4 = 15%43CF , Coincidence FactorFractionProportion0.647See CF in Vol. 1., App. A5Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 33: EFLH for Various Cities in Pennsylvania (TRM Data)CityCooling load hoursHeating load hoursTotal load hoursAllentown4871,1931,681Erie3891,3491,739Harrisburg5511,1031,654Philadelphia5911,0601,651Pittsburgh 4321,2091,641Scranton4171,2961,713Williamsport4221,2511,673Default SavingsThe following table presents the assumptions and the results of the deemed savings calculations for each EDCreference location.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 34: Assumptions and Results of DeemedDefault Air Handler Filter Whistle Savings Calculations (Pittsburgh, PA)Climate RegionReference CityHeatingCoolingBlower Motor kWPittsburgh EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISRASHP kWhEstimated Savings (kWh)kWCAllentown7.710.54.90.003ABinghamton, NY9.812.72.80.002GBradford11.414.21.70.002HeatingI0.5Erie8.912.1,2096044.0695910.47400243EHarrisburg8.511.26.20.004DPhiladelphia6.59.26.60.004HPittsburgh8.010.84.60.003CoolingBScranton08.543211.42164.0248320.47400315TotalFWilliamsport1,6417.982010.99444.71230.00358Evaluation 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.SourceskWpeak = 0.0229 kW (Pittsburgh)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 35: Assumptions and Results of Deemed Savings Calculations (Philadelphia, PA)Blower Motor kWPhiladelphia EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,060530609790.47438Cooling0.5591296340440.47421Total1,65182694912459kWpeak = 0.0231 (Philadelphia)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 36: Assumptions and Results of Deemed Savings Calculations (Harrisburg, PA)Blower Motor kWHarrisburg EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,103552634830.47439Cooling0.5551276317410.47420Total1,65482795112459kWpeak = 0.0231 kW (Harrisburg)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 37: Assumptions and Results of Deemed Savings Calculations (Erie, PA)Blower Motor kWErie EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,3496757761010.47448Cooling0.5389195224290.47414Total1,7398691,00013062kWpeak = 0.0231 kW (Erie)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 38: Assumptions and Results of Deemed Savings Calculations (Allentown, PA)Blower Motor kWAllentown EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,193597686890.47442Cooling0.5487244280370.47417Total1,68184096612660kWpeak = 0.0231 kW (Allentown)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 39: Assumptions and Results of Deemed Savings Calculations (Scranton, PA)Blower Motor kWScranton EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,296648745970.47446Cooling0.5417208240310.47415Total1,71385798512961kWpeak = 0.0230 kW (Scranton)Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 40: Assumptions and Results of Deemed Savings Calculations (Williamsport, PA)Blower Motor kWWilliamsport EFLHClean Annual kWhDirty Annual kWhFurnace Whistle Savings (kWh)ISREstimated Savings (kWh)Heating0.51,251625719940.47444Cooling0.5422211243320.47415Total1,67383696212559kWpeak = 0.0228 kW (Williamsport)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.SourcesThe Sheltair Group HIGH EFFICIENCY FURNACE BLOWER MOTORS MARKET BASELINE ASSESSMENT provided BC Hydro cites Wisconsin Department of Energy [2003] analysis of electricity use from furnaces (see Blower Motor Furnace Study). The Blower Motor Study Table 17 (page 38) shows 505 Watts for PSC motors in space heat mode; last sentence of the second paragraph on page 38 states: " . . . multi-speed and single speed furnaces motors drew between 400 and 800 Watts, with 500 being the average value."Submitted to: Fred Liebich BC Hydro Tel. 604 453-6558 Email: fred.liebich@, March 31, 2004.FSEC, “Furnace Blower Electricity: National and Regional Savings Potential”, page 98 - Figure 1 (assumptions provided in Table 2, page 97) for a blower motor applied in prototypical 3-Ton HVAC for both PSC and BPM motors, at external static pressure of 0.8 in. w.g., blower motor Watt requirement is 452 Watts.Typical blower motor capacity for gas furnace is ? to ? HP, ? HP × 0.746kWhp=0.377kW.US DOE Office of Energy Efficiency and Renewable Energy - "Energy Savers" publication - "Clogged air filters will reduce system efficiency by 30% or more.” Savings estimates assume the 30% quoted is the worst case and typical households will be at the median or 15% that is assumed to be the efficiency improvement when furnace filters are kept clean.The In Service Rate is taken from an SCE Evaluation of 2000-2001 Schools Programs, by Ridge & Associates 8-31-2001, Table 5-19 Installation rates, Air Filter Alarm 47.4%.Straub, Mary and Switzer, Sheldon."Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" In Service Rate is the average of values reported by FirstEnergy EDCs for kits including an air handler furnace whistle for PY9. See HYPERLINK "" . “Maintaining Your Air Conditioner”. Accessed 7/16/2014. Says that replacing a dirty air filter with a clean one can lower total air conditioner energy consumption by 5-15%. Since the algorithms in this measure only take into account the blower fan energy use, a 15% savings seems reasonable.Programmable Thermostat Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" \t "_blank" Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Your Filter Connection, “What is a Furnace Filter Whistle?”. HYPERLINK "" . Accessed December, 2018.ENERGY STAR? Certified Connected ThermostatsMeasure NameProgrammable ThermostatTarget SectorResidential EstablishmentsHomes, including single or multifamily in-unit spacesMeasure UnitProgrammableResidential ThermostatUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life11years11 yearsSource 5VintageRetrofit, Replace on Burnout, or new constructionVintageRetrofitProgrammableENERGY STAR?-certified connected thermostats are used to control(CT) save heating and/or cooling loads in energy by operating residential buildings by modifying the temperature set-points during specified unoccupiedHVAC systems more efficiently. CTs that meet the ENERGY STAR? specification8 will have functions that are located in the home and nighttime hours. These units are expected to on the Internet (the cloud). Homes must have Wi-Fi to enable full operating capabilities.ENERGY STAR?-certified connected thermostats may replace either a manual thermostat and theor a conventional programmable thermostat. The energy savings assume an existing ducted HVAC system with either an air source heat pump, fossil fuel heating with central AC, or an electric furnace with central AC. Electric resistance heating and DX cooling. A standard programmable thermostat installed on a heat pumpbaseboard heating as the primary heating system is not eligible for savings to be claimed through this measure protocol because CTs are low voltage thermostats, which use 24 volts. Electric baseboard heating requires line-voltage thermostats, which can have negative energy consequences. However, the option exists to input higher efficiency levels if coupled with a newer unit. The EDCs will strive to educate the customers to use manufacturer default setback and setup settingsbe either 120 or 240 volts.EligibilityEligibilityThis measure documents the energy savings resulting from the following product installations:ENERGY STAR?-certified connected thermostat (CT)Savings are assessed in this protocol for three different installation scenarios:Customer self-installation of CT (no education).Under this scenario, customers purchase and install the CT on their own without any education on installing and operationg the thermostat (aside from any manufacturer instructions included in the CT box at the time of purchase). This scenario applies to upstream programs where EDCs discount the device cost at the point of purchase.Customer self-installation with education on installation and operation of CT.Under this scenario, customers purchase the program-qualified CT and, in order to receive the incentive, certify in the incentive application that they have completed the specified education on how to install and operate the thermostat. The education may consist of viewing of videos and/or completion of a short online training module on the installation and operational details of the thermostat.Professional installation with instructions on operating the CT.For professional installation with operational instructions, the thermostat must be installed by a utility representative, ICSP, or program affiliated trade ally, at the time of the installation, the installer must explain the operational details of the thermostat to the customer. It is important to note that professional installation by contractors unaffiliated with the program may not focus on the energy savings capabilities of the device and would not produce higher savings. For example, an electrician might only focus on the wiring needs and provide little or no direction to the homeowner on how to leverage device capabilities for energy savings.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 35: installation of a programmable thermostat instead to replace an existing standard thermostat. The target sector is Installation ClassificationInstallation Scenario Installation Cost Paid ByInstallation TypeCapacity Term(s)Thermostat installed by EDC contractor during audit or other visitEDCProfessionalEDC Data GatheringThermostat installed by contractor affiliated with EDC program (ICSP or trade ally) EDC or ParticipantProfessionalEDC Data GatheringThermostat installed by licensed electrical or HVAC contractor - invoice, work order, etc. provided ParticipantProfessionalEDC Data GatheringThermostat installed by homeowner or friend/family who certifies receiving education on operating the thermostat at the time of applying for the rebate.ParticipantSelf-Installation + EducationDefaultThermostat installed by licensed electrical or HVAC contractor - no invoice, work order or other documentation suppliedParticipantSelf-Installation + EducationDefaultThermostat installed by homeowner or friend/familyParticipantSelf-InstallationDefaultFinally, energy saving factor (ESF) values are specified based on whether the thermostat is installed by the customer (self-installation), the customer with education (self-installation + education), or by a professional contractor/utility representative (professional installation).AlgorithmsEnergy SavingsTotal savings are calculated as a combination of heating and cooling season savings. The heating savings calculation varies depending on whether heat is provided by a heat pump, electric furnace, or gas furnace. There are no heating savings for boilers.ΔkWh=?kWhcool+?kWhheatΔkWhcool=CAPYcool×EFLHcoolSEER×Effduct×ESFcoolΔkWhheat,HP=CAPYHP×EFLHheat,HPHSPF×Effduct×ESFheatΔkWhheat,elecfurrn=CAPYelecfurn×EFLHheat,non-HP3.412BTUW?h×Effduct×ESFheat×DFΔkWhheat,fuelfurn=HPmotor ×0.746kWHPηmotor×EFLHheat,non-HP×ESFheatDerate FactorHeating ESF estimates are largely based on results from studies looking at connected thermostats applied to natural gas furnaces. However, it is likely that customers with electric furnaces are already more conscious of managing their energy consumption than those with gas furnaces due to the higher cost of electric resistance heat, thus savings from a gas furnace study may be overstated if not adjusted.Blended BaselineThe ESF value applied in the equations above is determined based on the type of thermostat being replaced (manual, programmable, or unknown baseline), the existing heating and/or cooling HVAC equipment in the home, and the program design type. When a known blended baseline of manual and programmable thermostats is present, the following equation may be used to find the appropriate ESF value for the blended baseline.ESFconnected over mixed=ESFconnected over manual×%Manual+ESFconnected over prog.×%ProgrammableDemand SavingsConnected thermostats are expected to primarily residential. save energy during off-peak hours. No peak demand savings are assigned to this measure.Definition of TermsAlgorithmskWh/yr= ?kWhcool+ ?kWhheat ?kWhcool =CAPYcool 1000WkW × 1SEER × Effduct × EFLH cool×ESFcool?kWhheat =CAPYheat 1000WkW × 1HSPF×Effduct × EFLH heat×ESFheatkWpeak = 0Definition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4136: Residential Electric HVAC Calculation AssumptionsTermUnitValueSourcesCAPYcool, Capacity of air conditioning unitkBTUhrEDC Data Gathering ofNameplate dataEDC Data GatheringDefault = 30,000 / unit1CAPYHP, Normal heat capacity of Heat Pump System. kBTUhrEDC Data Gathering ofNameplate DataEDC Data GatheringDefault = 32,000 / unit1CAPYelecfurn, Normal heat capacity of Electric Furnace systemskBTUhrEDC Data Gathering ofNameplate dataEDC Data GatheringDefault = 60,249 / unit1SEER, Seasonal Energy Efficiency RatioBTUW?hEDC Data Gathering ofNameplate dataEDC Data GatheringDefault: CAC = 12.1Heat Pump = 13.51HSPFheat pump, Heating Seasonal Performance Factor of Heat PumpBTUW?hEDC Data Gathering ofNameplate dataEDC Data GatheringHeat Pump Default = 8.21Effduct, Duct System EfficiencyNone0.83EFLHcool, Equivalent Full Load Hours for CoolinghoursyrSee EFLHcool in Vol. 1, App. A4EFLHheat,HP, Equivalent Full Load Hours for ASHP SystemshoursyrSee EFLHheat,HP in Vol. 1, App. A4EFLHheat,non-HP Equivalent Full Load Hours for Electric or Gas FurnaceshoursyrSee EFLHheat,non-HP in Vol. 1, App. A4HPmotor, Gas furnace blower motor horsepowerHpEDC Data GatheringDefault = ?Average blower motor capacity for gas furnace (typical range = ? hp to ? hp)NameplateEDC Data Gatheringηmotor, Efficiency of furnace blower motor%EDC Data GatheringDefault = 50%Typical efficiency of ? hp blower motor%Programmable, % central AC systems with a programmable thermostatNoneEDC Data GatheringEDC Data GatheringForced Air Default = 58%1%Manual, % central AC systems with a manual thermostatNoneEDC Data GatheringEDC Data GatheringForced Air Default = 42%1ESFcool, cooling energy saving factorNoneSee REF _Ref449711812 \h \* MERGEFORMAT Table 237Composite of multiple sourcesESFheat, heating energy saving factorNoneSee REF _Ref449711827 \h \* MERGEFORMAT Table 238Composite of multiple sourcesDF, Derate Factor for Electric Resistance Heating SystemsNone0.85Professional Judgement REF _Ref449711812 \h \* MERGEFORMAT Table 237 and REF _Ref449711827 \h \* MERGEFORMAT Table 238 show ESF values for cooling and heating (percentage of heating or cooling consumption saved by thermostat type, installation type, and HVAC system type). Each value taken from a secondary literature study has a footnote with its corresponding reference. All other ESF values (without footnotes) were calculated from the referenced value to find ESF values for different baselines.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 37: Cooling Energy Savings Factors (ESFcool)Installation TypeBaselineASHP CoolingCAC CoolingUpstream buy-down (Customer Self-Installation)Unknown Mix Default 4.8%a4.8%aCustomer Self-Installation with EducationUnknown Mix Default 7.5%b7.5%bProfessional InstallationManual11.3%c11.3%cConventional Programmable9.3%d9.3%da Source 6b Cooling savings are based on average of savings from unknown mix default with customer self-installation and average of professional installation savings from manual and programmable thermostats. In this case, 7.5%=((11.3%×0.42 + 9.3%×0.58) + 4.8% ) / 2c Average of cooling savings estimates from multiple studies. Sources: 2, 7, 9, 12, d The ESF value is applied here subtracts the assumed savings value from programmable thermostats in the 2016 Pennsylvania TRM (2.0%) from the manual thermostat baseline ESF.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 38: Heating Energy Savings Factors (ESFheat)Program TypeBaselineAir Source Heat PumpFurnace/Boiler Heating (Electric or Fossil)Upstream buy-down (Customer Self-Installation)Unknown Mix Default 6.4%a6.4%aCustomer Self-Installation with EducationUnknown Mix Default 7.9%b7.9%bProfessional InstallationManual11.5%c11.5%cConventional programmable7.9%d7.9%da Average of heating estimates from two studies. Sources: 9, 11b Heating savings are based on average of savings from unknown mix default with customer self-installation and average of professional installation savings from manual and programmable thermostats. In this case, 7.9%=((11.5%×0.42 + 7.9%×0.58) + 6.4% ) / 2c Average of four heating savings estimates from four studies. Sources: 7, 10, 12d The ESF value for a is applied here as an estimate until information becomes available showing different savings incented through a direct install program.Default Savings REF _Ref534016569 \h Table 239 through REF _Ref534016543 \h Table 241 provide deemed energy savings values by program type, HVAC system type, and baseline thermostat style using statewide average EFLH values. If an EDC wishes to calculate default savings for an upstream delivery model specific to their service territory, the climate region weights in Table 1-6 and the EFLH values in Table 1-8 can be used with the algorithms and assumptions in this protocol. The values in Table 1-6 and Table 1-8 are also included in the MS Excel Appendix A calculator (Climate Dependent Values). Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 39: Default Statewide Cooling Savings (kWh/yr)Program TypeBaselineASHP CoolingCAC CoolingUpstream buy-down (Customer Self-Installation)Unknown Mix Default 6977Customer Self-Installation with EducationUnknown Mix Default 108120Professional InstallationManual163182Conventional programmable134150Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 40: Default Statewide Heating Savings (kWh/yr)Program TypeBaselineASHP with Electric Auxiliary HeatingElectric FurnaceFossil Fuel Furnace (Fan Only)Upstream buy-down (Customer Self-Installation)Unknown Mix Default 4201,21348Customer Self-Installation with EducationUnknown Mix Default 5191,49960Professional InstallationManual7562,18087Conventional programmable5191,49860Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 41: Default Statewide Total Heating and Cooling Savings (kWh/yr)Program TypeBaselineASHP with Electric AuxCAC w/ Electric FurnaceCAC w/ Gas (Fan)Upstream buy-down (Customer Self-Installation)Unknown Mix Default 4901,290125Customer Self-Installation with EducationUnknown Mix Default 6271,619180Professional InstallationManual9182,362268Conventional programmable6531,647209Evaluation 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. Evaluation contractors may choose to propose independent assessments of the ESF factors to the SWE in their EM&V plans. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesComponentUnitValueSourcesCAPYCOOL, Capacity of air conditioning unitBtuhrEDC Data Gathering ofNameplate dataEDC Data GatheringDefault= 32,0001CAPYHEAT, Normal heat capacity of Electric FurnaceBtuhrEDC Data Gathering ofNameplate DataEDC Data GatheringDefault= 32,0001SEER , Seasonal Energy Efficiency RatioBtuW?hEDC Data Gathering ofNameplate dataEDC Data GatheringDefault= 11.91HSPF , Heating Seasonal Performance Factor of heat pumpBtuW?hEDC Data Gathering ofNameplate dataEDC Data GatheringDefault= 3.412 (equivalent to electric furnace COP of 1)2Effduct , Duct System EfficiencyNone0.83ESFCOOL , Energy Saving Factor for CoolingNone0.024ESFHEAT , Energy Saving Factor for HeatingNone0.0365EFLHCOOL , Equivalent Full Load hour for CoolinghoursdayAllentown Cooling = 487 HoursErie Cooling = 389 HoursHarrisburg Cooling = 551 HoursPhiladelphia Cooling = 591 HoursPittsburgh Cooling = 432 HoursScranton Cooling = 417 HoursWilliamsport Cooling = 422 Hours6OptionalCan use the more EDC-specific values in REF _Ref364157537 \h \* MERGEFORMAT Table 213Alternate EFLH REF _Ref364157537 \h \* MERGEFORMAT Table 213OptionalAn EDC can estimate it’s own EFLH based on customer billing data analysis.EDC Data GatheringEFLHHEAT , Full Load Hours for HeatinghoursdayAllentown Heating = 1,193 HoursErie Heating = 1,349 HoursHarrisburg Heating = 1,103 HoursPhiladelphia Heating = 1,060 HoursPittsburgh Heating = 1,209 HoursScranton Heating = 1,296 HoursWilliamsport Heating = 1,251 Hours6OptionalAn EDC can use the Alternate EFLH values in REF _Ref364157543 \h \* MERGEFORMAT Table 214Alternate EFLH REF _Ref364157543 \h \* MERGEFORMAT Table 214OptionalAn EDC can estimate its own EFLH based on customer billing data analysis.EDC Data GatheringEvaluation 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.SourcesData set from the 2012 Pennsylvania Residential End-Use and Saturation Study submitted to Pennsylvania PUC by GDS Associates, Nexant, and Mondre: HYPERLINK "" Federal Standard for new Central Air Conditioners/Heat Pumps between 1990 and 2006.Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . EnerNOC, Xcel Energy: In-Home Smart Device Pilot. Public Service Company of Colorado,” March, 2014, HYPERLINK "" York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in Commercial and Industrial Programs, September 1, 2009. HYPERLINK "$FILE/90_day_CI_manual_final_9-1-09.pdf" $FILE/90_day_CI_manual_final_9-1-09.pdfDEER 2005 cooling savings for climate zone 16, assumes a variety of thermostat usage patterns.“Programmable Thermostats. Report to KeySpan Energy Delivery on Energy Savings and Cost Effectiveness”, GDS Associates, Marietta, GA. 2002. 3.6% factor includes 56% realization rate.Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Residential Whole House FansBased on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Navigant Consulting, Inc., “Illinois Smart Thermostat – Annual and Seasonal kWh Savings – Impact Findings,” February 26, 2016. HYPERLINK "" Cadmus Group, Inc., “Vectren: Evaluation of 2013–2014 Programmable and Smart Thermostat Program,” January 2014, HYPERLINK "" Star Program Requirements for Connected Thermostat Products HYPERLINK "" V1.0 12/23/2016Apex Analytics LLC, “Energy Trust of Oregon Nest Thermostat Smart Thermostat Pilot Evaluation,” March 1, 2016, HYPERLINK "" Analytics LLC, “Energy Trust of Oregon Nest Thermostat Heat Pump Control Pilot Evaluation,” October 10, 2014, HYPERLINK "" Consulting, Inc., “Residential Smart Thermostats: Impact Analysis – Gas Preliminary Findings,” December 16, 2015, HYPERLINK "" Cadmus Group, Inc., “Wi-Fi Programmable Controllable Thermostat Pilot Program Evaluation,:September 2012, HYPERLINK "" MaintenanceMeasure NameWhole House FansTarget SectorResidential EstablishmentsMeasure UnitWhole House FanPer FurnaceUnit Energy SavingsVaries by location (187 kWh/yr to 232 kWh/yr)Unit Peak Demand Reduction0 kWMeasure Life15 years2 yearsSource 1VintageRetrofitVintageRetrofitThis Regular preventative maintenance of residential furnaces provides numerous potential benefits including increased efficiency, increased comfort, reduced repairs and increased safety. This protocol covers the calculation of energy savings associated with preventative maintenance of a residential furnace.Eligibilitymeasure applies to the installation of a whole house fan. The use of a whole house fan will offset existing central air conditioning loads. Whole house fans operate when the outside temperature is less than the inside temperature, and serve to cool the house by drawing cool air in through open windows and expelling warmer air through attic vents. The baseline is taken to be an existing home with central air conditioning (CAC) and without a whole house fan.The retrofit The measure requires that an approved technician inspect, clean and adjust the furnace. This service must include the following:Measure combustion efficiency and temperature rise with flue analyzerCheck and replace filter if necessaryClean burners, pilot and pilot tube, flame baffle, heat exchanger and blower Check and adjust gas pressure to manufacturer’s recommendationInspect the condition of the heat exchanger(s)Check that flue and venting are operating properlyCheck fan belt and replace if necessaryInspect wiring for this measure is the installation of a new whole house fan. loose connectionsCheck for correct line and load voltage and amperageCheck safety locks for proper operationThe algorithms and savings are valid for servicing once every two years. If serviced more frequently,EligibilityThis protocol documents the energy savings for the installation of a whole house fan to be used as a compliment to an existing central HVAC system. The target sector is primarily residential. the energy savings factor (ESF) will need to be re-evaluated.AlgorithmsThe annual energy savings for this measure result from reduced air conditioning operation. While running, whole house fans can consume up to 90% less power than typical residential central air conditioning units. Energy savings for this measure are based on whole house fan energy savings values reported byobtained through the energy modeling software, REM/Rate.Model AssumptionsThe savingsfollowing formula. There are reported on a “per house” basis with a modeled baseline cooling provided by a SEER 10 Split A/C unit.Savings derived from a comparison between a naturally ventilated home and a home with a whole-house fan.2181 square-foot single-family detached home built over unconditioned basement.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 42: Whole House Fan Deemed Energy Savings by PA CityCityAnnual Energy Savings (kWh/house)Allentown204Erie200Harrisburg232Philadelphia229Pittsburgh199Scranton187Williamsport191This measure assumes no demand savings as whole house fans are generally only used during milder weather (spring/fall and overnight). 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.Packaged Terminal SystemsMeasure NamePackaged Terminal SystemsTarget SectorResidential Multifamily BuildingsMeasure UnitPTHP, PTACUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 years Measure VintageReplace on Burnout, New Construction, or Early ReplacementThe method for determining residential multifamily high-efficiency cooling and heating equipment energy impact savings is based on algorithms that determine a PTAC or PTHP energy use and peak demand contribution. Input data is based both on fixed assumptions and data supplied from the high-efficiency equipment AEPS application form or EDC data gathering. The algorithms applicable for this program measure the energy savings directly related to the more efficient hardware installation. Commercial PTHP and PTAC applications are dealt with in Section REF _Ref423021657 \r \h 3.2.1.EligibilityThis measure requires the purchase of high-efficiency packaged terminal heat pumps or packaged terminal air conditioners and installation in a multifamily building. The baseline unit is a standard efficiency PTAC or PTHP. The following sections detail how this measure’s energy and demand savings are determined.kWh=kWmotor × EFLHheat,non-HP × ESFAlgorithmsPackaged Terminal AC (PTAC)kWhyr=CAPYcool1000 WkW×1EERbase -1EERee×EFLHcool?kWpeak=CAPYcool1000 WkW×1EERbase -1EERee ×CFPackaged Terminal Heat Pump (PTHP)kWhyr=?kWh/yrcool+?kWh/yrheatkWh/yrcool=CAPYcool1000 WkW×1EERbase -1EERee×EFLHcoolkWh/yrheat=CAPYheat1000 WkW×13.412×1COPbase-1COPee×EFLHheat?kWpeak=CAPYcool1000 WkW×1EERbase -1EERee ×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4342: Variables: Terms, Values, and References for Residential Multifamily Packaged Terminal SystemsFurnace MaintenanceTermUnitValuesSourceCAPYcool, Rated cooling capacity of the energy efficient unitkWmotor , Average motor full load electric demandBtuhrkWNameplate data (AHRI or AHAM)0.377EDC Data Gathering2CAPYheat, Rated heating capacity of the energy efficient unitBtuhrNameplate data (AHRI or AHAM)EDC Data GatheringEERbase , Energy Efficiency Ratio of the Baseline UnitBtuW?hNew Construction or Replace on Burnout:Default values from REF _Ref411005817 \h \* MERGEFORMAT Table 244See REF _Ref411005817 \h \* MERGEFORMAT Table 244BtuW?hEarly replacement:Nameplate data (AHRI or AHAM)EDC Data GatheringEERee , Energy Efficiency Ratio of the unit being installedBtuW?hNameplate data (AHRI or AHAM)EDC Data GatheringEFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unithoursyrAllentown Cooling = 487 HoursErie Cooling = 389 HoursHarrisburg Cooling = 551 HoursPhiladelphia Cooling = 591 HoursPittsburgh Cooling = 432 HoursScranton Cooling = 417 HoursWilliamsport Cooling = 422 Hours1hoursyrAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref413225004 \h \* MERGEFORMAT Table 213); EDC Data GatheringEFLHheatEFLHheat,non-HP , Equivalent full load Hours of operation during the heating season for the average unithourshoursyrHours/yearAllentown Heating = 1,193 HoursErie Heating = 1,349 HoursHarrisburg Heating = 1,103 HoursPhiladelphia Heating = 1,060 HoursPittsburgh Heating = 1,209 HoursScranton Heating = 1,296 HoursWilliamsport Heating = 1,251 HoursSee EFLHheat,non-HP in Vol. 1, App. A13hoursyrAn EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis.Alternate EFLH Table (See REF _Ref413225018 \h \* MERGEFORMAT Table 214); EDC Data GatheringCF , Demand Coincidence Factor Fraction0.6472COPee , Coefficient of Performance of the energy efficient unit. ESF, Energy savings factorNoneEDC Data Gathering2%AEPS Application; EDC’s Data Gathering4COPbase, Coefficient of Performance of the baseline unitNoneNew Construction or Replace on Burnout:Default values from REF _Ref411005817 \h \* MERGEFORMAT Table 244See REF _Ref411005817 \h \* MERGEFORMAT Table 244NoneEarly Replacement: EDC Data GatheringAEPS Application; EDC’s Data GatheringDefault SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4443: PTS Baseline Efficiencies: Default Savings per Input kBTU/h for Furnace MaintenanceEquipment Climate RegionTypeCooling Baseline (EERbase)Reference CityHeating Baseline (COPbase)Energy Savings(kWh per 1 input kBTU/h)Packaged Terminal Systems (Nonstandard Size) - Replacement , CAllentown6.8PTAC (cooling)A10.9 - (0.213 x CAPYcool / 1000) Binghamton, NYN/A8.7PTHP G10.8 - (0.213 x CAPYcool / 1000) Bradford2.9 - (0.026 x CAPYcool / 1000) 10.2Packaged Terminal Systems (Standard Size) – New Construction , IErie7.9PTAC (cooling)E12.5 - (0.213 x CAPYcool / 1000) HarrisburgN/A 7.5DPhiladelphia5.7HPittsburgh7.1BScranton7.5PTHP F12.3 - (0.213 x CAPYcool / 1000) Williamsport3.2 - (0.026 x CAPYcool / 1000) 7.0Default 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 REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.Straub, Mary and Switzer, Sheldon."Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. Found at HYPERLINK "" Act on Energy Commercial Technical Reference Manual No. 2010-4, 9.2.3 Gas Forced-Air Furnace Tune-up.Average blower motor capacity for gas furnace (typical range = ? hp to ? hp). Converted to kW with 1 HP = 0.7547 kW.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" of Minnesota, Technical Reference Manual for Energy Conservation Improvement Programs, Version 2.0. HYPERLINK "" Hot WaterHeat Pump Water HeatersMeasure NameHeat Pump Water HeatersTarget SectorResidential EstablishmentsMeasure UnitWater HeaterUnit Energy SavingsVariable based on energy factorsUnit Peak Demand ReductionVariable based on energy factorsMeasure Life10 yearsyearsSource 1VintageReplace on BurnoutHeat Pump Water Heaters take heat from the surrounding air and transfer it to the water in the tank, unlike conventional water heaters, which use either gas (or sometimes other fuel) burners or electric resistance heating coils to heat the water.EligibilityThis protocol documents the energy savings attributed to heat pump water heaters with Uniform Energy Factors meeting Energy Star Criteria Version 3.0.2.Source 2 The target sector primarily consists of single-family residences.AlgorithmsThe energy savings calculation utilizes average performance data for available residential heat pump and standard electric resistance water heaters and typical water usage for residential homes. The algorithms take into account interactive effects between the water heater and HVAC system when installed inside conditioned space. The energy savings are obtained through the following formula:?kWhyr =1EFbase-1EFee×Fderate×HW×365daysyr×8.3lbsgal×1Btulbs?℉×Thot-Tcold3412BtukWh+?kWhyrie, cool+?kWhyrie, heatInclude below interactive effects calculations only when water heater is installed inside conditioned space with electric heating and cooling. ?kWh =1UEFbase-1UEFee×Fderate×HW×365daysyr×8.3BTUgal?℉×Tout-Tin3412BTUkWh+?kWhie, cool-?kWhie, heatInclude below interactive effects calculations only when water heater is installed inside conditioned space with electric heating and cooling.If either electric heating or electric cooling is absent, then the respective interactive effect will equal zero.When installed outside of conditioned space, both interactive effects will equal zero, and the appropriate Fderate in REF _Ref405447215 \h Table 249 REF _Ref533706253 \h Table 248 will account for reduced performance due to cooler annual temperatures.If installation location is unknown, (such as with midstream delivery programs), use the ‘Default’ value for Fderate in REF _Ref405447215 \h Table 249 REF _Ref533706253 \h Table 248 and both interactive effects will equal zero.?kWhyrie, cool = HW×8.3lbsgal×1Btulbs?℉×Thot-Tcold×EFLHcool24hrsday×SEER×1000WkW?kWhyrie, heat = -HW×8.3lbsgal×1Btulbs?℉×Thot-Tcold×EFLHheat24hrsday×HSPF×1000WkW?kWhie, cool = HW×8.3 BtuGal×°F×Tout-Tin×EFLHcool24hrsday×SEER×1000WkW?kWhie, heat = HW×8.3 BtuGal×°F×Tout-Tin×EFLHheat24hrsday×HSPF×1000WkWFor heat pump water heaters, demand savings result primarily from a reduced connected load. However, since the interactive effects during the heating season have no effect on the peak demand, the heating season interactive effects are subtracted from the total kWh savings before the ETDF is applied. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average demand between 2 PM and 6 PM on summer weekdays to the total annual energy usage.kWpeak = ETDF ×kWhyr-?kWhyrie, heatkWpeak= ETDF ×kWh-?kWhie, heatETDF (Energy to Demand Factor) is defined below:ETDF = Average DemandSummer WD 2-6 PMAnnual Energy UsageThe ratio of the average demand between 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from an electric water heater metering study performed by BG&E (pg 95 of .Source 6).10Definition of TermsThe parameters in the above equation are listed in REF _Ref274915443 \h Table 245.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4544:: Terms, Values, and References for Heat Pump Water Heater Calculation AssumptionsComponentTermUnitValuesSourceEFbase,UEFbase, Uniform Energy Factor of baseline water heaterNoneSee REF _Ref364434750 \h \* MERGEFORMAT Table 248See REF _Ref533706168 \h \* MERGEFORMAT Table 247Default=: 0.945 (EF for 92 (50 gallongal., medium draw)1, 73EFee,UEFee, Uniform Energy Factor of proposed efficient water heaterNonegallonsEDC Data GatheringDefault :≤55 GallonsGals: 2.000Default >55 GallonsGal: 2.22092HW , Hot water used per day in gallonsgallonsday5045.524Vr, Rated storage volume of baseline water heatergallonsEDC Data GatheringEDC Data GatheringThotTout, Temperature of hot water°F11935TcoldTin, Temperature of cold water supply°F555246Fderate, COP De-rating factor FractionProportion REF _Ref395110180 \h \* MERGEFORMAT Table 249 REF _Ref533706253 \h \* MERGEFORMAT Table 24857, and discussion belowEFLHcool , Equivalent Full Load Hours for coolinghoursyr REF _Ref393268857 \h \* MERGEFORMAT Table 246See EFLHcool in Vol. 1, App. A68EFLHheat , Equivalent Full Load Hours for heatinghoursyr REF _Ref393269462 \h \* MERGEFORMAT Table 247See EFLHheat in Vol. 1, App. A68HSPF , Heating Seasonal Performance Factor of heating equipmentBtuW?hBTUW?hEDC Data GatheringDefault= 6.9 see REF _Ref534895883 \h Table 24579SEER , Seasonal Energy Efficiency Ratio of cooling equipmentBtuW?hBTUW?hEDC Data GatheringDefault= 11 see REF _Ref534895883 \h Table 24579ETDF , Energy to Demand Factor (defined above)kWkWh/yrkWkWhyr0.00008047810Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4645: Equivalent Full Load Hours for: Default Cooling Seasonand Heating System EfficienciesCityTypeSEEREFLHcoolHSPFAllentownCentral Air Conditioner48712.1N/AErieRoom Air Conditioner38911.4N/AHarrisburgAir-Source Heat Pump55113.58.2PhiladelphiaGround-Source Heat Pump59115.010.9Ductless Mini-SplitPittsburgh43214.98.9ScrantonElectric Resistance417N/A3.412Williamsport422Uniform Energy Factors Based on Rated Storage Volume and Draw PatternThe current Federal Standards for electric water heater Uniform Energy Factors (UEF) vary based on rated storage volume and draw pattern. This standard, which went into effect at the end of 2016, replaces the old federal standard equal to 0.96-(0.0003×Rated Storage in Gallons) for tanks equal to or smaller than 55 gallons and 2.057 – (0.00113×Rated Storage) for tanks larger than 55 gallons. REF _Ref533706168 \h Table 247 shows the formulas to calculate the minium UEF for various tanks sizes using both the new standard with draw patterns, and the pre-draw pattern standard, which will likely be more common in replacements through 2021. Pre-calculated UEF values are provided for common tank sizes. Draw patterns are defined in the Federal Standard test procedures for water heaters as illustrated in REF _Ref10628935 \h Table 246.Source 12Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4746: Equivalent Full Load Hours for Heating Season: Draw Pattern DefinitionsTypeCityEFLHheatDraw PatternMax. Daily Hot Water Draw (gallons)First Hour Rating (FHR) (gallons)StorageAllentown1,193Very Small100 <= FHR < 18Erie1,349Low3818 <= FHR < 51Harrisburg1,103Medium5551 <= FHR < 75Philadelphia1,060High84FHR >= 75Pittsburgh1,209Scranton1,296Williamsport1,251Energy 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 in Gallons) for tanks equal to or smaller than 55 gallons. For tanks larger than 55 gallons, the minimum Energy Factor is 2.057 – 0.00113*(Rated Storage in Gallons). The following table shows the Energy Factors for various tank sizes.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4847: Minimum Baseline Uniform Energy Factors Based on Tank SizeRated Storage Volume and Draw PatternTank SizeRated Storage Volume (gallons)Draw PatternUEF CalculationMinimum Energy Factor (EFBase)UEF40>=20 gal and <=55 galPre-20170.9489600-(0.0003×Vr)50Very Small0.9458808-(0.0008×Vr)Low0.9254-(0.0003×Vr)Medium0.9307-(0.0002×Vr)High0.9349-(0.0001×Vr)>55 gal and <=120 galPre-20170.9600-(0.0003×Vr)Very Small0.8808-(0.0008×Vr)Low0.9254-(0.0003×Vr)Medium0.9307-(0.0002×Vr)High0.9349-(0.0001×Vr)40Pre-20170.9600-(0.0003×Vr)0.95Very Small0.8808-(0.0008×Vr)0.85Low0.9254-(0.0003×Vr)0.91Medium0.9307-(0.0002×Vr)0.92High0.9349-(0.0001×Vr)0.9350Pre-20170.9600-(0.0003×Vr)0.95Very Small0.8808-(0.0008×Vr)0.84Low0.9254-(0.0003×Vr)0.91Medium0.9307-(0.0002×Vr)0.92High0.9349-(0.0001×Vr)0.9365Pre-20172.057-(0.00113×Vr)1.9849880Very Small1.9679236-(0.0011×Vr)1.85Low2.0440-(0.0011×Vr)1.97Medium2.1171-(0.0011×Vr)2.05High2.2418-(0.0011×Vr)2.1780Pre-20172.057-(0.00113×Vr)1.97Very Small1.9236-(0.0011×Vr)1.84Low2.0440-(0.0011×Vr)1.96Medium2.1171-(0.0011×Vr)2.03High2.2418-(0.0011×Vr)2.15120Pre-20172.057-(0.00113×Vr)1.92192Very Small1.9236-(0.0011×Vr)1.79Low2.0440-(0.0011×Vr)1.91Medium2.1171-(0.0011×Vr)1.99High 2.2418-(0.0011×Vr)2.11Heat Pump Water Heater EnergyUEF De-rating FactorThe Uniform Energy Factors (UEF) are determined from a DOE testing procedure that is carried out at 67.5?F5°F dry bulb and 56°F wet bulb temperatures. However, the average dry and wet bulb temperatures in PA are in the range of 50-56?F DB and 45-50 °F WB. The heat pump performance is temperature and humidity dependent, therefor the location and type of installation is significant. To account for this, an EFa UEF de-rating factor (Fderate) has been adapted from a 2013 NEEA HPWH field study (.Source 5).7 The results used are for “Heating Zone 1”, which is comprised of Olympia, WA and Portland, OR and have average dry and wet bulb temperatures (51?F DB, 47?F WB and 55?F DB, 49?F WB, respectively) comparable to Pennsylvania.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 4948: EFUEF De-rating Factor for Various Installation LocationsInstallation LocationFderateInside Conditioned Space0.98Unconditioned Garage0.85Unconditioned Basement0.72Default0.87Default SavingsDefault savings for the installation of heat pump water heaters not located inside conditioned space are calculated using the formulas below.?kWh/yr = 1EFbase-1EFee×Fderate×2841.27 kWh/yr1UEFbase-1UEFee×Fderate×2706.75kWhyr?kWpeak =1EFbase-1EFee×Fderate×0.22864 kW=?kWh 12426.83kWhkWEvaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with calculation of energy and demand savings using above algorithms.SourcesSourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.ENERGY STAR Program Requirements for Residential Water Heaters. HYPERLINK "" . Federal Standards for Residential Water Heaters. Effective April 16, 2015. “Residential End Uses of Water, Version 2.” Water Research Foundation. (Apr 2016), p. 5. HYPERLINK "" Act 129 2018 Residential Baseline Study, HYPERLINK "" . Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies, 2013. Residential Energy Consumption Survey, EIA, 2009. Pennsylvania Statewide Residential End-Use and Saturation Study, 2014. Mid-Atlantic TRM Version 3.0, March 2013, footnote #314NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies, 2013. HYPERLINK "" HYPERLINK "" (Note: when this source discusses “ducted” vs “non-ducted” systems it refers to the water heater’s heat pump exhaust, not to the HVAC ducts.)Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.2014 Pennsylvania Residential Baseline Study. Presented to the PUC by GDS Associates.Consistent with Sections REF _Ref395171402 \w \h 2.2.1 REF _Ref395171402 \h Electric HVAC.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" \t "_blank" Act 129 2018 Residential Baseline Study, HYPERLINK "" . Due to small sample size for GSHP in Pennsylvania Act 129 2018 Residential Baseline Study this value is lowest efficiency value from BEopt v2.8.0.Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal, Aug/Sept. 2011. p. 95. STAR Product Specifications for Residential Water Heaters Version 3.0. Effective April 15, 2016. HYPERLINK "" . Federal Standard Uniform Test Method for Measuring the Energy Consumption of Water Heaters. Effective December 15, 2015. HYPERLINK "" Solar Water HeatersMeasure NameSolar Water HeatersTarget SectorResidential EstablishmentsMeasure UnitWater HeaterDefault Unit Energy Savings1,462.5 kWhDefault Unit Peak Demand Reduction0.2419 kWMeasure Life15 yearsyearsSource 1VintageRetrofitVintageRetrofitSolar water heaters utilize solar energy to heat water, which reduces electricity required to heat water.EligibilityThis protocol documents the energy savings attributed to solar water in PA. The target sector primarily consists ofis single-family residences with an existing eletric water heater.AlgorithmsThe energy savings calculation utilizes average performance data for available residential solar and standard water heaters and typical water usage for residential homes. The energy savings are obtained through the following formula:?kWhyr =1EFbase-1EFee×HW×365daysyr×8.3lbsgal×1Btulbs?℉×Thot-Tcold3412BtukWhThe energy factor used in the above equation represents an average energy factor of market available solar water heaters. ?kWh =1UEFbase-1UEFee×HW×365daysyr×8.3BTUgal?℉×Tout-Tin3412BTUkWhThe demand reduction is taken as the annual energy usage of the baseline water heater multiplied by the ratio of the average demand between 2PM and 6PM on summer weekdays to the total annual energy usage. Note that this is a different formulation than the demand savings calculations for other water heaters. This modification of the formula reflects the fact that a solar water heater’s capacity is subject to seasonal variation, and that during the peak summer season, the water heater is expected to fully supply all domestic hot water needs.kWpeak= ETDF × kWhyrbase kWhbaseWhere:Where: kWhyrbase=1EFbase×HW×365daysyr×8.3lbsgal×1Btulbs?℉×Thot-Tcold3412BtukWhkWhbase =1UEFbase×HW×365daysyr×8.3BTUgal?℉×Tout-Tin3412BTUkWhETDF (Energy to Demand Factor) is defined below:ETDF = Average DemandSummer WD 2 PM- 6 PMAnnual Energy UsageThe ratio of the average demand between 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from an electric water heater metering study performed by BG&E (pg 95 of .Source 2). Definition of TermsThe parameters in the above equation are listed in REF _Ref364172988 \h \* MERGEFORMAT Table 250.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 5049:: Terms, Values, and References for Solar Water Heater Calculation AssumptionsComponentTermUnitValuesSourceEFbase ,UEFbase, Uniform Energy Factor of baseline electric water heaterFractionProportionSee REF _Ref364435023 \h \* MERGEFORMAT Table 251EDC Data Gathering3EDC Data GatheringDefault = 0.945(50 gallon)9034EFee , UEFee, Year-round average Uniform Energy Factor of proposed solar water heaterFractionProportionEDC Data GatheringEDC Data GatheringDefault=1.84 (for tanks ≤55 gallons) = 2.6212HW, Hot water used per day in gallonsgallonsday5045.545Thot Tout, Temperature of hot water°F11956Tcold Tin, Temperature of cold water supply°F555267ETDF, Energy to Demand Factor (defined above)kWkWh/yrkWkWhyr0.0000804723Energy 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 in Gallons ) for tanks equal to or smaller than 55 gallons. For tanks larger than 55 gallons, the minimum Energy Factor is 2.057 – (0.00113*Rated Storage). The following table shows the baseline Energy Factors for various tank sizes:Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 51: Minimum Baseline Energy Factors Based on Tank SizeTank Size (gallons)Minimum Energy Factors40 0.94850 0.94565 1.98480 1.967120 1.921Default SavingsThe partially-deemed algorithm forDefault energy and demand savings are as follows:ΔkWh = 1,974.4 kWhΔkW = 0.2420 kWEvaluation ProtocolsFor most projects, the appropriate evaluation protocol is to verifyattributable to the installation of a solar water heaterand proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is given belowto 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.?kWhyr =1EFbase-1EFee×2841.27 kWhyr?kWpeak =1EFbase×0.22864 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.SourcesSourcesENERGY STAR Solar Water Heater Benefits and Savings. Accessed 8/8/2014. HYPERLINK "" average energy factor for all solar water heaters with collector areas of 50 ft2 or smaller is from . As a cross check, we have calculated that the total available solar energy in PA for the same set of solar collectors is about twice as much as the savings claimed herein – that is, there is sufficient solar capacity to actualize an average energy factor of 1.84. Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal, Aug/Sept. 2011. p. 95. is mean UEF for standard electric standalone water heaters from Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . Federal Standards for Residential Water Heaters. Effective April 16, 2015. HYPERLINK "" Residential Energy Consumption Survey, EIA, 2009.Pennsylvania Statewide Residential End-Use and Saturation Study, 2014., HYPERLINK "" TRM Version 3.0, March 2013, footnote #314Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" Switching: Electric Resistance to Fossil Fuel Water HeaterMeasure NameFuel Switching: Electric Resistance to Fossil Fuel Water HeaterTarget SectorResidentialMeasure UnitWater HeaterUnit Energy Savings3,006.6 kWh/yrUnit Peak Demand Reduction0.2419 kWGas, Fossil Fuel Consumption IncreaseGas: 14.47 MMBtu/yrPropane: 14.47 MMBtu/yrOil: 16.57 MMBtu/yrMeasure LifeGas:11 yearsyearsSource 1Propane: 11 yearsOil: 8 years Source 1VintageReplace on BurnoutEligibilityVintageReplace on BurnoutNatural gas, 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-fired unit. EligibilityThis protocol documents the energy savings attributed to converting from a standard electric resistance water heater to an ENERGY STAR Version 3.02 natural gas or propane water heater or an oil 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.The target sector primarily consists of single-family residences.AlgorithmsThe energy savings calculation utilizes average performance data for available residential standard electric and fossil fuel-fired water heaters and typical water usage for residential homes. Because there is little electric energy associated with a fossil fuel-fired 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/yr = 1EFElec,bl×HW ×365 daysyr×1 BTUlb?°F× 8.3lbgal×Thot-Tcold3412BtukWhkWh = 1UEFbase,elec×HW ×365 daysyr×8.3BTUgal?℉×Tout-Tin3412BTUkWhAlthough 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/yr) = 1EFinstalled×HW ×365daysyr×1 BTUlb?°F×8.3lbgal×Thot-Tcold1,000,000BtuMMBtuMMBTU = 1UEFinstalled×HW ×365 daysyr×8.3Btugal?℉×Tout-Tin1,000,000BTUMMBTUDemand savings result from the removal of the connected load of the electric water heater. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage between2between 2 PM and 6 PM on summer weekdays to the total annual energy usage.kWpeak= ETDF × ?kWhyr= ETDF×?kWhETDF (Energy to Demand Factor) is defined below: ETDF = Average DemandSummer WD 2PM- 6 PMAnnual Energy UsageThe ratio of the average energy usage between 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from an electric water heater metering study performed by BG&E (pg 95 of .Source 7). Definition of TermsThe parameters in the above equation are listed in REF _Ref275509591 \h \* MERGEFORMAT Table 252 below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 5250: Calculation Assumptions: Terms, Values, and References for Fuel Switching: Electric Resistance to Fossil Fuel Water HeaterComponentTermUnitValuesSourceEFelec,bl ,UEF base,elec , Uniform Energy Factor of baseline water heaterFractionProportionEDC Data GatheringDefault: REF _Ref395110327 \h \* MERGEFORMAT Table 253Default: REF _Ref533706168 \h \* MERGEFORMAT Table 247 in the REF _Ref14093862 \h \* MERGEFORMAT Heat Pump Water Heaters section12EFinstalledUEFinstalled, NG , Uniform Energy Factor of installed natural gas water heaterFractionProportionEDC Data GatheringDefault:≤55 Gallons= 0.67>55 Gallons= 0.7723EFinstalledUEFinstalled,Propane , Uniform Energy Factor of installed propane water heaterFractionProportionEDC Data GatheringDefault:≤55 Gallons= 0.67>55 Gallons= 0.7723EFinstalledUEFinstalled,Tankless Water Heater , Uniform Energy Factor of installed tankless water heaterFractionProportionEDC Data GatheringDefault: ≥0.9023EFinstalled,Oil , Energy Factor of installed oil water heater*FractionEDC Data GatheringDefault: ≥0.5853HW , Hot water used per day in gallonsgallonsday5045.54ThotTout , Temperature of hot water°F1195TcoldTin , Temperature of cold water supply°F55526ETDF , Energy to Demand Factor (defined above)kWkWh/yrkWkWhyr0.000080477Uniform Energy Factors based on Tank SizeRated Storage Volume and Draw PatternAs of 4/16/2015,The current Federal Standards for electric water heater Uniform Energy Factors are(UEF) vary based on rated storage volume and draw pattern. This standard, which went into effect at the end of 2016, replaces the old federal standard equal to 0.96-(0.0003*×Rated Storage in Gallons) for tanks equal to or smaller than 55 gallons. and 2.057 – (0.00113×Rated Storage) for tanks larger than 55 gallons, the minimum Energy Factor is 2.057 – (0.00113*Rated . REF _Ref533706168 \h Table 247 in the REF _Ref14093323 \h \* MERGEFORMAT Heat Pump Water Heaters sectionStorage). The following table shows the Energy FactorsUEF for various tanktanks sizes using both the new standard with draw patterns, and the pre-draw pattern standard, which will likely be more common in replacements through 2021.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 53: Minimum Baseline Energy Factors based on Tank SizeTank Size (gallons)Minimum Energy Factors (EFelec, bl)40 0.94850 0.94565 1.98480 1.967120 1.921Default SavingsThe electric savings for the installation of a fossil fuel water heater should be calculated using the partially deemed algorithm below.?kWhyr =1EFelec, bl×2841.27 kWhyr ?kWh =1UEFbase,elec×HW ×365daysyr×8.3Btugal?℉×Tout-Tin3412BTUkWh?kWpeak =1EFelec, bl×0.22864 kW= ETDF × ?kWhThe default savings for the installation of a 50 gallon natural gas/propane/oil water heater in place of a standard electric water heater are listed in REF _Ref275542465 \h Table 25451, below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 5451: Energy Savings and& Demand Reductions for Fuel Switching, Domestic Hot Water Electric to Fossil FuelElectric unit Energy FactorUEFEnergy Savings (kWh/yr)Demand Reduction (kW)0.945923006.62,938.90.24192365The default fossil fuel consumption for the installation of a standard efficiency natural gas/propane/oil water heater in place of a standard electric water heater is listed in REF _Ref275542466 \h \* MERGEFORMAT Table 25552 below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 5552: Fuel Consumption for Fuel Switching, Domestic Hot Water Electric to Fossil FuelFuel TypeEnergy FactorUEFFossil Fuel Consumption (MMBTU/yr)Gas0.6714.4713.78Propane0.6714.4713.78Oil0.58516.57Note: 10.87 gallons of propane provide 1 MMBTU of heat.Evaluation Protocolspropane The most appropriate evaluation protocol for this measure is equivalent to 10.87 gals of propane, and 1 MMBtuverification of oil is equivalent to 7.19 galsinstallation coupled with assignment of oilstipulated energy savings.Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.SourcesSourcesDEER Effective Useful Life values, accessed Oct. 2018. HYPERLINK "" . Federal Standards for Residential Water Heaters. Effective April 16, 2015. Order requires fuel switching to ENERGY STAR measures, not standard efficiency measures. The Energy Factor has therefore been updated to reflect the EnergyStarEnergy Star 3.2 standard for Gas Storage Water Heaters beginning September 1, 2010. From Residential Water Heaters Key Product Criteria. HYPERLINK "" HYPERLINK "" Accessed June 2013 Oct. 2018. For the Commission Order see p. 42 of the TRC Final Test Order.Federal Standards are 0.68 -0.0019 x Rated Storage in Gallons for oil-fired storage water heater. For a 50-gallon tank this 0.585. HYPERLINK "" “Energy Conservation Program for Consumer Products: Test Procedure for Water Heaters”, Federal Register / Vol. 63, No. 90, p. 26005-26006. “Residential End Uses of Water, Version 2.” Water Research Foundation. (Apr 2016), p. 5. HYPERLINK "" Statewide Residential End-Use and Saturation Study, 2014. , HYPERLINK "" TRM Version 3.0, March 2013, footnote #314Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" , Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept, 2011. p. 95. Switching: Heat Pump Water Heater to Fossil Fuel Water Heater Tank WrapMeasure NameFuel Switching: Heat Pump Water Heater to Fossil Fuel HeaterTarget SectorResidentialMeasure UnitWater HeaterTankUnit Energy Savings1,632.9 kWh/yr (for EF = 2.0)Unit Peak Demand Reduction0.1314kWGas, Fossil Fuel Consumption IncreaseGas: 14.47 MMBtu/yrPropane: 14.47 MMBtu/yrOil: 16.57 MMBtu/yrMeasure LifeGas:11 yearsPropane: 11 yearsOil: 8 years7 yearsSource 5 VintageReplace on BurnoutSwitching to a natural gas, propane or oil water heater from a heat pump water heater reduces electric energy usage and peak demand. EligibilityThis protocol documents the energy savings attributed to converting from a standard heat pump water heater to an ENERGY STAR Version 3.0 natural gas or propane water heater and 0.585 for an oil water heater. 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.The target sector primarily consists of single-family residences.AlgorithmsThe energy savings calculation utilizes average performance data for available residential standard heat pump water heaters and fossil fuel-fired water heaters and typical water usage for residential homes. Because there is little electric energy associated with a fossil fuel-fired water heater, the energy savings are the full energy utilization of the heat pump water heater. The energy savings are obtained through the following formula:kWh/yr = 1EFHP,bl×FDerate×HW×365 daysyr ×1 BTUlb?°F × 8.3lbgal×Thot-Tcold3412BtukWh+?kWhyrie, cool+?kWhyrie, heatInclude below interactive effects calculations only when water heater is installed inside conditioned space with electric heating and cooling. If either electric heating or cooling is absent, then the respective interactive effect will equal zero. When installed outside of conditioned space, both interactive effects will equal zero and the appropriate Fderatein REF _Ref405447672 \h Table 259 will account for reduced performance due to cooler annual temperatures. If installation location is unknown, use the ‘Default’ value for Fderate in REF _Ref405447672 \h Table 259 and both interactive effects will equal zero.?kWhyrie, cool =HW×8.3lbsgal×1Btulbs?℉×Thot-Tcold×EFLHcool24hrsday×SEER×1000WkW?kWhyrie, heat =-HW×8.3lbsgal×1Btulbs?℉×Thot-Tcold×EFLHheat24hrsday×HSPF×1000WkWAlthough 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 energy is obtained through the following formula:Fuel Consumption (MMBtu/yr) = 1EFinstalled × H W × 365daysyr × 1 BTUlb?°F × 8.3lbgal × Thot-Tcold1,000,000BtuMMBtuDemand savings result from the removal of the connected load of the heat pump water heater. However, since the interactive effects during the heating season have no effect on the peak demand, the heating season interactive effects are subtracted from the total kWh savings before the ETDF is applied. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average demand between 2 PM and 6 PM on summer weekdays to the total annual energy usage.?kWpeak =ETDF × kWhyr-?kWhyrie, heatETDF (Energy to Demand Factor) is defined below:ETDF = Average DemandSummer WD 2PM- 6 PMAnnual Energy UsageThe ratio of the average energy usage between 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from an electric water heater metering study performed by BG&E (pg 95 of Source 8). Definition of TermsThe parameters in the above equation are listed in REF _Ref275510763 \h \* MERGEFORMAT Table 256.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 56: Calculation Assumptions for Heat Pump Water Heater to Fossil Fuel Water HeatersComponentUnitValuesSourceEFHP,bl , Energy Factor of baseline heat pump water heaterFractionDefault = 2.0 or EDC Data Gathering1EFinstalled, NG . Energy Factor of installed natural gas water heaterFractionEDC Data GatheringDefault:≤55 Gallons= 0.67>55 Gallons= 0.772EFinstalled, Propane , Energy Factor of installed propane water heaterFractionEDC Data GatheringDefault:≤55 Gallons= 0.67>55 Gallons= 0.772EFinstalled,Tankless Water Heater , Energy Factor of installed tankless water heaterFractionEDC Data gatheringDefault= 0.902EFinstalled,Oil , Energy Factor of installed oil water heaterFraction>=0.585 or EDC Data Gathering3HW , Hot water used per day in gallonsgallonsday504Thot , Temperature of hot water°F1195Tcold , Temperature of cold water supply°F556FDerate , COP De-rating factor Fraction REF _Ref393700487 \h \* MERGEFORMAT Table 2597, and discussion belowEFLHcool , Equivalent Full Load Hours for coolinghoursyr REF _Ref395110399 \h \* MERGEFORMAT Table 2578EFLHheat , Equivalent Full Load Hours for heatinghoursyr REF _Ref393699945 \h \* MERGEFORMAT Table 2588HSPF , Heating Seasonal Performance FactorBtuW?hEDC Data GatheringDefault= 6.99SEER , Seasonal Energy Efficiency RatioBtuW?hEDC Data GatheringDefault= 119ETDF, Average Usage per Average Energy UsagekWkWh/yr0.0000804710Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 57: Equivalent Full Load Hours for Cooling SeasonCityEFLHcoolAllentown487Erie389Harrisburg551Philadelphia591Pittsburgh432Scranton417Williamsport422Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 58: Equivalent Full Load Hours for Heating SeasonCityEFLHheatAllentown1,193Erie1,349Harrisburg1,103Philadelphia1,060Pittsburgh1,209Scranton1,296Williamsport1,251Heat Pump Water Heater Energy FactorThe Energy Factors are determined from a DOE testing procedure that is carried out at 67.5?F dry bulb and 56 °F wet bulb temperatures. However, the average dry and wet bulb temperatures in PA are in the range of 50-56?F DB and 45-50 °F WB. The heat pump performance is temperature and humidity dependent, therefore the location and type of installation is significant. To account for this, an EF de-rating factor (Fderate) has been adapted from a 2013 NEEA HPWH field study (Source 7). The results used are for “Heating Zone 1”, which is comprised of Olympia, WA and Portland, OR and have average dry and wet bulb temperatures (51?F DB, 47?F WB and 55?F DB, 49?F WB, respectively) which is comparable to Pennsylvania.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 59: EF De-rating Factor for Various Installation LocationsInstallation LocationFderateInside Conditioned Space0.98Unconditioned Garage0.85Unconditioned Basement0.72Default0.87Default SavingsThe savings for the installation of a fossil fuel water heater in place of a heat pump water heater not located inside conditioned space should be calculated using the partially deemed algorithm below.?kWhyr =1EFHP, bl×FDerate×2841.27kWhyr?kWpeak =1EFHP, bl×FDerate×0.22864 kWThe fossil fuel consumption should be calculated using the partially deemed algorithm below.Fossil Fuel Consumption (MMBtu/yr) = 1EFNG, inst×9.694MMBtuyrThe default savings for the installation of a 50 gallon fossil fuel-fired water heater in place of a standard heat pump water heater in an unknown, default location are listed in REF _Ref275542468 \h Table 260 below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 60: Energy Savings and Demand Reductions for Heat Pump Water Heater to Fossil Fuel Water Heater in Unknown Installation LocationHeat Pump unit Energy FactorEnergy Savings (kWh)Demand Reduction (kW)2.01632.90.1314The default gas consumption for the installation of an ENERGY STAR natural gas, propane or oil water heater in place of a standard heat pump water heater is listed in REF _Ref413852687 \h Table 261 below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 61: Gas, Oil, Propane Consumption for Heat Pump Water Heater to Fossil Fuel Water HeaterFuel TypeEnergy FactorGas Consumption (MMBtu/yr)Gas0.6714.47Propane0.6714.47Oil0.58516.57Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings. SourcesHeat pump water heater efficiencies have not been set in a Federal Standard. However, the Federal Standard for water heaters does refer to a baseline efficiency for heat pump water heaters as EF = 2.0 “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–mission Order requires fuel switching to ENERGY STAR measures, not standard efficiency measures. The Energy Factor has therefore been updated to reflect the EnergyStar standard for Gas Storage Water Heaters beginning September 1, 2010. From Residential Water Heaters Key Product Criteria. HYPERLINK "" Accessed June 2013 Federal Standards are 0.67 -0.0019 x Rated Storage in Gallons. Federal Standards are 0.67 -0.0019 x Rated Storage in Gallons. For a 40-gallon tank this is 0.594. “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. 30Federal Standards are 0.68 -0.0019 x Rated Storage in Gallons for oil-fired storage water heater. For a 50-gallon tank this 0.585. HYPERLINK "" “Energy Conservation Program for Consumer Products: Test Procedure for Water Heaters”, Federal Register / Vol. 63, No. 90, p. 26005-26006. Pennsylvania Statewide Residential End-Use and Saturation Study, 2014.Mid-Atlantic TRM Version 3.0, March 2013, footnote #314NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies, 2013. HYPERLINK "" (Note: when this source discusses “ducted” vs “non-ducted” systems it refers to the water heater’s heat pump exhaust, not to the HVAC ducts.)Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners and 40% oversizing of heat pumps.2014 Pennsylvania Residential Baseline Study. Presented to the PUC by GDS Associates. Consistent with Sections REF _Ref395171402 \w \h 2.2.1 REF _Ref395171402 \h Electric HVAC.Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal, Aug/Sept. 2011. HYPERLINK "" Heater Tank Wrap Measure NameWater Heater Tank WrapTarget SectorResidentialMeasure UnitTankUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life7 yearsVintageRetrofitThis measure applies to the installation of an insulated tank wrap or “blanket” to existing residential electric hot water heaters.The base case for this measure is a standard residential, tank-style, electric water heater with no external insulation wrap.EligibilityThis measure documents the energy savings attributed to installing an insulating tank wrap on an existing electric resistance water heater. The target sector is residential.The U.S. Department of Energy recommends adding a water heater wrap of at least R-8 to any water heater with an existing R-value less than R-24.Source 6AlgorithmsThe annual energy savings for this measure are assumed to be dependent upon decreases in the overall heat transfer coefficient that are achieved by increasing the total R-value of the tank insulation. ?kWhyr QUOTE = UbaseAbase- UinsulAinsul×(Tsetpoint- Tambient)3412 × ηElec ×HOU =Ubase×Abase-Uinsul×Ainsul×(Tsetpoint-Tambient)3412 × ηElec×HOU?kWh=HOU3412BTUkWh×ηElec×AbaseRbase-AinsulRinsul×Tsetpoint-TambientΔkWpeak QUOTE = ?kWhHOU ×CF =?kWhHOU×CF=?kWhHOU×CFDefinition of TermsDefinition of TermsThe U.S. Department of Energy recommends adding a water heater wrap of at least R-8 to any water heater with an existing R-value less than R-24. The default inputs for the savings algorithms are given in REF _Ref278888764 \h Table 262. Actual tank and blanket U-values can be used in the above algorithms as long as make/model numbers of the tank and blanket are recorded and tracked by the EDC.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6253: : Terms, Values, and References for Water Heater Tank Wrap – Default ValuesComponentTermUnitValueSourceRbase , R-value is a measure of resistance to heat flow and is equalprior to 1/Ubaseadding tank wrapHr?F?ft2BtuDefault: 8.312 or EDC Data Gathering1Rinsul , R-value is a measure of resistance to heat flow and is equal to 1/Uinsulafter addition of tank wrapHr?℉?ft2BtuDefault: 20 or EDC Data Gathering2Ubase , Overall heat transfer coefficient of water heater prior to adding tank wrapBtuHr?℉?ft2=1/RbaseUinsul , Overall heat transfer coefficient of water heater after addition of tank wrapBtuHr?℉?ft2=1/RinsulAbase , Surface area of storage tank prior to adding tank wrapft2See REF _Ref278967935 \h \* MERGEFORMAT Table 26354Ainsul , Surface area of storage tank after addition of tank wrapft2See REF _Ref278967935 \h \* MERGEFORMAT Table 26354ηElec , Thermal efficiency of electric heater elementNoneProportion0.983Tsetpoint , Temperature of hot water in tank?F11954Tambient , Temperature of ambient air?F7054HOU , Annual hours of use for water heater tankHours/yr87608,7604CF , Demand Coincidence Factor DecimalProportion1.04Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6354: Deemed savings by water heater capacityCapacity (gal)RbaseRinsulAbase (ft2)Ainsul (ft2)ΔkWhΔkW3081619.1620.94139.40.015930101819.1620.9496.60.011030122019.1620.9470.60.00813081819.1620.94158.10.018030102019.1620.94111.60.012730122219.1620.9482.80.00944081623.1825.31168.90.019340101823.1825.31117.10.013440122023.1825.3185.50.00984081823.1825.31191.50.021940102023.1825.31135.10.015440122223.1825.31100.30.01145081624.9927.06183.90.021050101824.9927.06127.80.014650122024.9927.0693.60.01075081824.9927.06208.00.023750102024.9927.06147.10.016850122224.9927.06109.40.01258081631.8434.14237.00.027180101831.8434.14165.30.018980122031.8434.14121.50.01398081831.8434.14267.40.030580102031.8434.14189.60.021680122231.8434.14141.40.0161Evaluation 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.SourcesConservative estimate of R-12.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.SourcesResults and Methodology of the Engineering Analysis for Residential Water Heater Efficiency Standards, PNNL, 1998.The water heater wrap is assumed to be a fiberglass blanket with R-8, increasing the total to R-20.AHRI Directory. All electric storage water heaters have a recovery efficiency of 0.98. HYPERLINK "" is assumed that the tank wrap will insulate the tank during all hours of the year.2014 Residential SWE Baseline Study. GDS Associates.Pennsylvania Statewide Residential End-Use and Saturation Study, 2014, HYPERLINK "" Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.“Energy Savers”, U.S. Department of Energy, accessed June, 2018 HYPERLINK "" Heater Temperature SetbackMeasure NameWater Heater Temperature SetbackTarget SectorResidential EstablishmentsMeasure UnitWater Heater TemperatureUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life4 years2 yearsSource 10VintageRetrofitIn homes where the water heater setpoint temperature is set high, savings can be achieved by lowering the setpoint temperature. The recommended lower setpoint is 120?F, but EDCs may substitute another if needed. Savings occur only when the lower temperature of the hot water does not require the use of more hot water. Savings do not occur in applications such as a shower or faucet where the user adjusts the hot water flow to make up for the lower temperature. Clothes washer hot water use and water heater tank losses are included in the savings calculation, but shower, faucet, and dishwasher use are not included due to expected behavioral and automatic (dishwasher) adjustments in response to lower water temperature. It is expected that the net energy use for the dish washer hot water will remain the same after a temperature reduction because dishwashers will adjust hot water temperature to necessary levels using internal heating elements.EligibilityThis protocol documents the energy savings attributed to reducing the electric or heat pump water heater temperature setpoint. The primary target sector primarily consists ofis single-family residences.AlgorithmsThe annual energy savings calculation utilizes average performance data for available residential water heaters and typical water usage for residential homes. The energy savings are obtained through the following formula, where the first term in the parentheses corresponds to tank loss savings and the second to clothes washer savings:?kWhyr =Atank×Thot i-Thot f×8760hrsyrRtank×ηelec×3412BtukWh +VHW×8.3lbgal×365daysyr×1Btu?F?lb×Thot i-Thot f3412BtukWh×EFWH?kWh =Thot i-Thot f3412BTUkWh×Atank×8760hrsyrRtank×ηelec +Cycleswash×VHW×8.3BTUgal?℉UEFWHDemand savings result from reduced hours of operation of the heating element, rather than a reduced connected load. The demand reduction is taken as the annual energy savings multiplied by the ratio of the average demand between2between 2 PM and 6 PM on summer weekdays to the total annual energy usage.kWpeak= ETDF×?kWhyr kWhETDF (Energy to Demand Factor) is defined below:ETDF = Average DemandSummer WD 2PM- 6 PMAnnual Energy UsageThe ratio of the average demand between 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from an electric water heater metering study performed by BG&E (pg 95 of .Source 2). 8Definition of TermsThe parameters in the above equation are listed in REF _Ref373318876 \h \* MERGEFORMAT Table 264 below. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6455:: Terms, Values, and References for Water Heater Temperature Setback Assumptions ComponentUnitValuesSourceEFWH , Energy Factor of water heaterFractionEDC data collectionDefault:Electric Storage= 0.904HPWH= 2.01Rtank , R value of water heater tank, hr?℉?ft2BtuEDC Data GatheringDefault: 8.3Atank , Surface Area of water heater tank, ft2EDC Data GatheringDefault: 24.9950 gal. value in REF _Ref405448038 \h \* MERGEFORMAT Table 265ηelec , Thermal efficiency of electric heater element (equiv. to COP for HPWH)DecimalElectric Storage: 0.98HPWH: 2.12, 3VHW , Volume of hot water used per day by clothes washer, in gallonsgallons/day7.324, 5, 6, 7Thot_i , Temperature setpoint of water heater initially°FEDC Data GatheringDefault: 1308Thot_f , Temperature setpoint water heater after setback°FEDC data collectionDefault: 1199ETDF , Energy To Demand Factor (defined above)kWkWh/yr0.0000804710TermUnitValuesSourceUEFWH , Uniform Energy Factor of water heaterProportionEDC data collectionDefault:Electric Storage= 0.90HPWH= 2.001Rtank , R value of water heater tankhr?℉?ft2BTUEDC Data GatheringDefault: 129Atank , Surface Area of water heater tankft2EDC Data GatheringDefault: 24.9950 gal. value in REF _Ref278967935 \h Table 254ηelec , Thermal efficiency of electric heater element (equiv. to COP for HPWH)ProportionElectric Storage: 0.98HPWH: 2.102, 3VHW , Volume of hot water used per cycle by clothes washergallons/cycle74Cycleswash , Number of clothes washer cycles per yearcyclesyrClothes washer present:251No clothes washer: 05Thot_i , Temperature setpoint of water heater initially°FEDC Data GatheringDefault: 1306Thot_f , Temperature setpoint of water heater after setback°FEDC data collectionDefault: 1197ETDF , Energy To Demand Factor (defined above)kWkWhyr0.000080478Default SavingsThe energy savings and demand reductions are prescriptive according to the above formulae. However, some values for common configurations are provided in REF _Ref377134732 \h \* MERGEFORMAT Table 265 REF _Ref377134732 \h \* MERGEFORMAT Table 256, below.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6556: Default Energy Savings and Demand ReductionsTypeTank Size (gallons)CycleswashRtankAtankThot i-Thot f (?F)ηelecUEFWHEnergy Savings (?kWhyr)kWh)Demand Reduction (?KWpeak)kWpeak)Electric Storage5008.324.99130-1190.980.90490165.960.00.01330048Electric Storage w/Clothes Washer2510.980.90112.00.0090HPWH5008.324.99130-1192.12.00076.228.00.00610023HPWH w/Clothes Washer2512.12.0051.50.0041Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of water heater temperature setpoint coupled with assignment of stipulated energy savings.SourcesPrevious Federal Standards from 2004-2015 are 0.97 -0.00132 x Rated Storage in Gallons. For a 50-gallon tank this is 0.90490. “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. The previous, long-standing requirements are used since this is a Retrofit measure applied to existing equipment, not new equipment.AHRI Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" Energy Management Program Energy Cost Calculator, March 2010 (visited October 23, 2018) HYPERLINK "" using “Frequency of clothes washer use” and “Frequency of dryer use” data for the Mid-Atlantic region from U.S. Department of Energy. 2015 Residential Energy Consumption Survey (2015). HYPERLINK "" assumptionNEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" Usage based on AWWA Research Foundation, 1998, Residential End Uses of Water, found in EPA's Water Sense guide: HYPERLINK "" Clothes washer hot water use per capita per day adjusted for current water use per load and using PA Census Data. Hot water comprises 28% of total water in clothes washer load.Federal minimum Water Factor standards (9.5) and Energy Star minimum Water Factor standards (6.0) for clothes washers, Section 2.26, “Energy Star Clothes Washers”. Average capacity of base (3.19 cu. ft.) and energy efficient (3.64 cu. ft.) clothes washers, REF _Ref377134627 \h \* MERGEFORMAT Table 2111, Section 2.26.Households with Energy Star Clothes Washers 2009 (36%), “Energy Star Product Retrospective: Clothes Washers”, 2012. Used to determine current weighted average gallons per load (27.3 gal)2007-2011 U.S. Census Data for Pennsylvania (2.47 persons per household average).Engineering assumptionPennsylvania Statewide Residential End-Use and Saturation Study, 2014. , HYPERLINK "" , Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/SeptStraub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal, Aug/Sept. 2011., 2011. p. 95. HYPERLINK "" estimate of R-12Illinois Statewide Technical reference Manual for Energy Efficiency Version 7.0. Effective January 1, 2019. HYPERLINK "" Heater Pipe InsulationMeasure NameElectric Water Heater Pipe InsulationTarget SectorResidential EstablishmentsMeasure UnitWater HeaterUnit Energy Savings9.43 kWh per foot of installed insulationUnit Peak Demand Reduction0.000759 kW per foot of installed insulationMeasure Life13 yearsyearsSource 3VintageRetrofitThis measure relates to the installation of foam insulation on exposed pipe in unconditioned space, ?” thick. The baseline for this measure is a standard efficiency 50 gallon electric water heater (EFUEF=0.9049207) with an annual energy usage of 31432,939 kWh. EligibilityThis protocol documents the energy savings for an electric water heater attributable to insulating exposed pipe in unconditioned space, ?” thick. to R-3 or above. The target sector primarily consists of residential establishments.AlgorithmsThe annual energy savings are assumed to be 3% of the annual energy use of an electric water heater (3143kWh2,939 kWh), or 94.2988.2 kWh based on 10 feet of ?” thick insulation. (equal to R-3 on a ?” pipe). This estimate is based on a recent report prepared by the ACEEE for the State of Pennsylvania (Source 1). On a per foot basis, this is equivalent to 9.438.82 kWh.ΔkWh/yr= 9.43= 8.82 kWh/yr per foot of installed insulationThe summer coincident peak kW savings are calculated as follows:ΔkWpeak= ΔkWh ×ETDFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 57: Terms, Values, and References for Water Heater Pipe InsulationTermUnitValueSourceΔkWh/yr , annual energy savings per foot of installed pipe insulationkWh/yrft9.431ETDF, Energy to Demand FactorkWkWh/yr0.000080472ΔkWpeak , Summer peak kW savings per foot of installed pipe insulationkWft0.000759ΔkWh, annual energy savings per foot of installed pipe insulationkWhyrft8.821ETDF, Energy to Demand FactorkWkWhyr0.000080472ΔkWpeak , Summer peak kW savings per foot of installed pipe insulationkWft0.00071-The demand reduction is taken as the annual energy savings multiplied by the ratio of the average energy usage during 2 PM to 6 PM on summer weekdays to the total annual energy usage. The Energy to Demand Factor is defined as:ETDF = Average DemandSummer WD 2PM-6PMAnnual 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 an electric water heater metering study performed by BG&E (pg 95 of .Source 2).Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.SourcesAmerican Council for an Energy-Efficient Economy, Summit Blue Consulting, Vermont Energy Investment Corporation, ICF International, and Synapse Energy Economics, Potential for Energy Efficiency, Demand Response, and Onsite Solar Energy in Pennsylvania, Report Number E093, April 2009, p. 117.Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011., 2011. p. 95. HYPERLINK "" Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed November 13, 2018Low Flow Faucet AeratorsMeasure NameLow Flow Faucet AeratorsTarget SectorResidential EstablishmentsMeasure UnitAeratorUnit Energy SavingsVaries by installation locationUnit Peak Demand ReductionVaries by installation locationMeasure Life10 yearsyearsSource 1VintageRetrofit, New ConstructionInstallation of low-flow faucet aerators is an inexpensive and lasting approach for water conservation. These efficient aerators reduce water consumption and consequently reduce hot water usage and save energy associated with heating the water. This protocol presents the assumptions, analysis and savings from replacing standard flow aerators with low-flow aerators in kitchens and bathrooms.The low-flow kitchen and bathroom aerators will save on the electric energy usage due to the reduced demand of hot water. The maximum flow rate of qualifying kitchen and bathroom aerators is 1.5 gallons per minute. EligibilityThis protocol documents the energy savings attributable to efficient low flow aerators in residential applications. The savings claimed for this measure are attainable in homes with standard resistive water heaters. Laminar flow restrictors are also eligible. The maximum flow rate of qualifying equipment is 1.5 gallons per minute. Homes with non-electric water heaters do not qualify for this measure.AlgorithmsThe energy savings and demand reduction are obtained through the following calculations:?kWhyr=ISR×ELEC×GPMbase-GPMlow×Tperson/day×Npersons×365daysyr×DF×Tout-Tin×8.3Btugal?℉#faucets×3412BtukWh×RE?kWh = GPMbase-GPMlow× 8.3BTUgal?℉ × Tout- Tin 3412BTUkWh×RE × DF×Tperson-day×Npersons × 365daysyrNfaucets-home ×ISR ×ELEC?kWpeak =?kWhyr× kWh×ETDFWhere:ETDF =CFHOUCF =%faucet use, peak×Tperson/day×Npersons#faucets×240minutesdaily peakETDF =CFHOU= %faucet use, peak×60minuteshour365daysyr×240minutesdaily peakGiven:CF =%faucet use, peak×Tperson-day×NpersonsNfaucets-home×240minutesdaily peakHOU =Tperson/day×Npersons×365daysyr#faucets×60minuteshourTperson-day×Npersons×365daysyrNfaucets-home×60minuteshourThe ratio of the average energy usage during 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from average daily load shape data collected for faucets from an Aquacraft, Inc study.Source 2 The average daily load shapes (percentages of daily energy usage that occur within each hour) are plotted in REF _Ref413853075 \h Figure 21 REF _Ref525730652 \h Figure 21 below (symbol FAU represents faucets).Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 1: Daily Load Shapes for Hot Water Measurers MeasuresSource 2Definition of Terms REF AquaCraft \* MERGEFORMAT Definition of TermsThe parameters in the above equation are defined in REF _Ref364434804 \h Table 266. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6658: Low Flow Faucet Aerator Calculation AssumptionsTermUnitValueSourceGPMbase , Average baseline flow rate of aerator (GPM)gallons minuteDefault =2.2Or EDC Data Gathering orDefault = 2.213GPMlow , Average post measure flow rate of aerator (GPM)gallons minuteEDC Data Gathering orDefault = 1.5Or EDC Data Gathering13Tperson-day , Average time of hot water usage per person per day (minutes)minutes dayKitchen=4.5Bathroom=1.6Unknown=6.124Npersons , Average number of persons per householdpersons houseDefault SF=2.45Default MF=1.97Default Unknown=2.45Or EDC Data Gathering311Tout , Average mixed water temperature flowing from the faucet (?F)?FKitchen=93Bathroom=86Unknown= 87.846Tin , Average temperature of water entering the house (?F)?F55525, 67RE , Recovery efficiency of electric water heaterDecimalProportionDefault: Standard: 0.98HPWH: 2.17, 128, 10ETDF, Energy To Demand FactorkW kWhyr0.00013482#faucetsNfaucets-home , Average number of faucets in the homefaucets houseSF:Kitchen=1.0Bathroom=3.0Unknown=4.0MF:Kitchen=1.0Bathroom=1.7Unknown=2.7Unknown Home Type:Kitchen=1.0Bathroom=2.8Unknown=3.8Or EDC Data Gathering,Default see REF _Ref533698302 \h Table 25995DF , Percentage of water flowing down drain%Kitchen=75%Bathroom=90%Unknown=79.5%109ISR , In Service Rate%VariableEDC Data Gathering,Kit Delivery Default: 28%Direct Install Default: 100%EDC Data Gathering, 12ELEC , Percentage of homes with electric water heat%Default: Unknown=4335%Or EDC Data Gathering:Electric = 100%Fossil Fuel = 0.0%115%faucet use, peak , percentage of daily faucet use during PJM peak period%19.5%82For example, a direct installed (ISR=100%) kitchen low flow faucet aerator in a single family electric DHW (ELEC=100%) home:ΔkWh = 1.0 * 1.0 * (((2.2 – 1.5) * 4.5 * 2.4 * 365 * (93 – 55) * 8.3 * (1/3412) * 0.75 / 0.98) / 1)= 195.2 kWhFor example, a direct installed (ISR=100%) low flow faucet aerator in unknown faucet in an unknown family type electric DHW (ELEC=100%) home:ΔkWh = 1.0 * 1.0 * (((2.2 – 1.5) * 6.1 * 2.6 * 365 * (87.8 – 55) * 8.3 * (1/3412) * 0.795 / 0.98) / 4.0)= 63.7 kWh per faucetDefault SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 59: Average Number of Faucets per HomeHousing TypeFaucet LocationELEC(water heater fuel)Unit Energy Savings (kWh)Unit Demand Savings (kW)Faucet TypeSingle FamilyKitchenMultifamilyUnknown (43%)83.90.0112BathroomUnknown (43%)9.70.0013UnknownUnknown (43%)26.00.0035MultifamilyKitchenUnknown (43%)1.166.51.01.0.0089BathroomUnknown (43%)2.213.61.22.0.0018UnknownUnknown (43%)3.330.52.23.0.0041Statewide (Unknown Housing Type)KitchenUnknown (43%)83.90.0112BathroomUnknown (43%)10.40.0014UnknownUnknown (43%)27.40.0037Single FamilyKitchenElectric (100%)195.20.0262BathroomElectric (100%)22.60.0030UnknownElectric (100%)60.50.0081MultifamilyKitchenElectric (100%)154.50.0207BathroomElectric (100%)31.60.0042UnknownElectric (100%)71.00.0095Statewide (Unknown Housing Type)KitchenElectric (100%)195.20.0262BathroomElectric (100%)24.30.0033UnknownElectric (100%)63.70.0085Default SavingsDefault savings assume an electric resistance storage water heater with RE = 0.98.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 60: Default Savings for Low Flow Faucet AeratorsHousing TypeFaucet LocationWater Heater Fuel (% electric)Kit Delivery:Unit Energy Savings (kWh)Kit Delivery:Unit Demand Savings (kW)Direct Install:Unit Energy Savings (kWh)Direct Install:Unit Demand Savings (kW)Single FamilyKitchenUnknown (35%)19.50.002669.80.0094BathroomUnknown (35%)3.50.000512.30.0017UnknownUnknown (35%)8.20.001129.20.0039MultifamilyKitchenUnknown (35%)14.60.002052.20.0070BathroomUnknown (35%)4.30.000615.40.0021UnknownUnknown (35%)8.30.001129.80.0040Statewide (Unknown Housing Type)KitchenUnknown (35%)21.50.002976.80.0103BathroomUnknown (35%)3.80.000513.60.0018UnknownUnknown (35%)9.00.001232.10.0043Single FamilyKitchenElectric (100%)55.80.0075199.50.0267BathroomElectric (100%)9.90.001335.30.0047UnknownElectric (100%)23.40.003183.40.0112MultifamilyKitchenElectric (100%)41.80.0056149.20.0200BathroomElectric (100%)12.30.001744.00.0059UnknownElectric (100%)23.80.003285.10.0114Statewide (Unknown Housing Type)KitchenElectric (100%)61.40.0082219.40.0294BathroomElectric (100%)10.90.001538.80.0052UnknownElectric (100%)25.70.003491.80.0123Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering. SourcesCalifornia’s Database of Energy Efficiency Resources (DEER), updated 2/5/2014. HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the ETDF. algorithm components. The CF for faucets is found to be 0.00413: [% faucet use during peak × (TPerson-Day× NPerson) /(Nfaucets-home)] / 240 (minutes in peak period) = [19.5% × (6.1 x 2.5 / 3.0)] / 240 =0.00413. The Hours for faucets is found to be 30.9: (TPerson-Day× NPersons× 365) /(Nfaucets-home) / 60 = (6.1 x 2.5 x 365) / 3.0 / 60 = 30.9. The resulting FED is calculated to be 0.000134: CF / Hours = 0.00413 / 30.9 =0.000134.SourcesCadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Baseline GPM of replaced aerators is set to the federal minimum GPM of 2.2. The GPM of new aerators is set to the typical rated GPM value of 1.5 GPM. Discounted GPM flow rates were not applied because the “throttle factor” adjustment was found to have been already accounted for in the mixed water temperature variable. Additionally, the GPMBase was set to a default value of 2.2 due to the inability to verify what the GPM flow rate was of the replaced faucet. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. If aerator location is known, use the corresponding kitchen/bathroom value. If unknown, use 6.1 min/person/day as the average length of use value, which is the total for the household: kitchen (4.5 min/person/day) + bathroom (1.6 min/person/day) = 6.1 min/person/day.Table 4-7, section 4.2.4. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2014. For The Pennsylvania Public Utility Commission .Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" 7. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. The study finds that the average mixed water temperature flowing from the kitchen and bathroom faucets is 93?F and 86?F, respectively. If the faucet location is unknown, 87.8?F is the corresponding value to be used, which was calculated by taking a weighted average of faucet type (using the statewide values): (((1*×93)+(+3*×86))/()/(1+3) = 87.8.Table 9Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" . Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Inlet water temperatures were measured and a weighted average based upon city populations was used to calculate the value of 55?F. A good approximation of annual average water main temperature is the average annual ambient air temperature. Average water main temperature = 55° F based on: HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the FED algorithm components. The CF for faucets is found to be 0.00339: [% faucet use during peak × (TPerson-Day× NPerson) /(F/home)] / 240 (minutes in peak period) = [19.5% × (6.1 x 2.6 / 3.8)] / 240 =0.00339. The Hours for faucets is found to be 25.4: (TPerson-Day× NPersons× 365) /(F/home) / 60 = (6.1 x 2.6 x 365) / 3.8 / 60 = 25.4. The resulting FED is calculated to be0.000134: CF / Hours = 0.00328 / 25.4 =0.000134. Table 4-68, section 4.6.3. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2012. For The Pennsylvania Public Utility Commission.Illinois TRM Effective June 1, 2013. Faucet usages are at times dictated by volume, only “directly down the drain” usage will provide savings. Due to the lack of a metering study that has determined this specific factor, the Illinois Technical Advisory Group has deemed these values to be 75% for the kitchen and 90% for the bathroom. If the aerator location is unknown an average of 79.5% should be used which is based on the assumption that 70% of household water runs through the kitchen faucet and 30% through the bathroom (0.7*×0.75)+( + 0.3*×0.9)=.) = 0.795.NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. Figure 4-17, Section 4.6.1 of the 2014 Pennsylvania Statewide Residential End-Use and Saturation Study. This study finds that only 43% of households statewide have an electric water heater. As such, if the proportion of households with electric water heaters is unknown, deemed savings should only be applied to 43% of the study group. NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" HYPERLINK "" Community Survey 5-Year (2013-2017) Estimates for 2017. HYPERLINK "" . Average of PY9 values for kit delivery for FirstEnergy EDCs. HYPERLINK "" Flow ShowerheadsMeasure NameLow Flow ShowerheadsTarget SectorResidential EstablishmentsMeasure UnitWater HeaterUnit Energy SavingsPartially DeemedUnit Peak Demand ReductionPartially DeemedMeasure Life9 yearsVintageRetrofitMeasure Life9 yearsSource 1VintageRetrofit, New ConstructionThis measure relates to the installation of a low flow (generally 1.5 GPM) showerhead in bathrooms in homes with an electric water heater. The baseline is a standard showerhead using 2.5 GPM.EligibilityThis protocol documents the energy savings attributable to replacing a standard showerhead with an energy efficient low flow showerhead for electric water heaters. The target sector primarily consists of residencesresidential establishments.AlgorithmsAlgorithmsThe annual energy savings are obtained through the following formula:?kWhyr=ISR×ELEC×GPMbase-GPMlow×Tperson/day×Npersons×Nshowers/day×365daysyr×Tout-Tin×8.3Btugal?℉#showers×3412BtukWh×RE?kWh = GPMbase-GPMlow× 8.3BTUgal?℉ × Tout- Tin 3412BTUkWh×RE × Tperson-day×Npersons × Nshowers-day×365daysyrNshowerheads-home×ISR ×ELEC ?kWpeak =?kWhyr× kWh×ETDFWhere:Where:ETDF =CFHOUCF =%shower use, peak×Tpersonday×Npersons×Nshowersday#showers×240minutesdaily peakETDF =CFHOU= %shower use, peak×60minuteshour365daysyr×240minutesdaily peakGiven:CF =%shower use, peak×Tperson-day×Npersons×Nshowers-dayNshowerheads-home×240minutesdaily peakHOU =Tperson/day×Npersons×Nshowers/day×365daysyr#showers×60minuteshourTperson-day×Npersons×Nshowers-day×365daysyrNshowerheads-home×60minuteshourThe ratio of the average energy usage during 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from average daily load shape data collected for showerheads from an Aquacraft, Inc study.Source 2 The average daily load shapes (percentages of daily energy usage that occur within each hour) during are plotted in REF _Ref373320516 \h Figure 22 REF _Ref525828253 \h Figure 22 below (symbol SHOW represents showerheads).Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 2: Daily Load Shapes for Hot Water MeasuresMeasuresSource 2 REF AquaCraft Definition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6761:: Terms, Values, and References for Low Flow Showerhead Calculation AssumptionsTermUnitValueSourceGPMbase , Gallons per minute of baseline showerheadgallons minuteDefault value = 2.51GPMlow , Gallons per minute of low flow showerheadgallons minuteDefault value = 1.5 or EDC Data Gathering2Tperson/day , Average time of shower usage per person (minutes)minutes day7.83Npersons , Average number of persons per householdpersons houseDefault SF=2.4Default MF=1.9Default unknown=2.4Or EDC Data Gathering4Nshowers/day , Average number of showers per person per dayshowersperson day0.65#showers , Average number of showers in the homeshowers houseOr EDC Data GatheringDefault SF=1.3Default MF=1.1Default unknown = 1.26Tout , Assumed temperature of water used by showerhead° F1017Tin , Assumed temperature of water entering house° F557,8RE , Recovery efficiency of electric water heaterDecimalDefault: 0.98HPWH: 2.19, 12ETDF , Energy To Demand FactorkW kWhyr0.0000801310ISR , In Service Rate%VariableEDC Data GatheringELEC , Percentage of homes with electric water heat%Default: Unknown=43%Or EDC Data Gathering:Electric = 100%Fossil Fuel = 0.0%11%shower use, peak , percentage of daily shower use during PJM peak period%11.7%10For example, a direct-installed (ISR=100%) 1.5 GPM low flow showerheadGPMbase , Gallons per minute of baseline showerheadgallons minuteEDC Data Gathering orDefault = 2.53GPMlow , Gallons per minute of low flow showerheadgallons minuteEDC Data GatheringTperson-day , Average time of shower usage per person (minutes)minutes day7.85Npersons , Average number of persons per householdpersons houseEDC Data Gathering orDefault SF=2.5Default MF=1.7Default unknown=2.56Nshowers-day , Average number of showers per person per dayshowersperson day0.67Nshowerheads-home , Average number of showers in the homeshowers houseEDC Data Gathering orDefault SF=1.6Default MF=1.1Default unknown = 1.58Tout , Assumed temperature of water used by showerhead° F1019Tin , Assumed temperature of water entering house° F5210RE , Recovery efficiency of electric water heaterProportionDefault: Standard: 0.98HPWH: 2.111, 13ETDF , Energy To Demand FactorkW kWhyr0.0000801412ISR , In Service Rate%EDC Data Gathering,Kit Default = 35%Direct Install Default = 100%EDC Data Gathering,14ELEC , Percentage of homes with electric water heat%EDC Data Gathering orDefault: Unknown=35%Electric = 100%Fossil Fuel = 0.0%8%shower use, peak , percentage of daily shower use during PJM peak period%11.7%12Default SavingsDefault savings assume an electric resistance storage water heater with RE = 0.98.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 62: Default Savings for Low Flow ShowerheadsHousing TypeLow Flow Rate (gpm)Water Heater Fuel (% electric)Energy Savings per Unit (kWh)Demand Savings per Unit (kW)Kit DeliveryDirect InstallKit DeliveryDirect InstallSingle Family2.0Unknown (35%)19.956.80.00160.00461.75Unknown (35%)29.885.20.00240.00681.5Unknown (35%)39.8113.60.00320.0091Multifamily2.0Unknown (35%)19.756.20.00160.00451.75Unknown (35%)29.584.30.00240.00681.5Unknown (35%)39.3112.40.00320.0090Statewide (Unknown Housing Type)2.0Unknown (35%)21.260.60.00170.00491.75Unknown (35%)31.890.90.00250.00731.5Unknown (35%)42.4121.20.00340.0097Single Family2.0Electric (100%)56.8162.30.00460.01301.75Electric (100%)85.2243.50.00680.01951.5Electric (100%)113.6324.60.00910.0260Multifamily2.0Electric (100%)56.2160.50.00450.01291.75Electric (100%)84.3240.80.00680.01931.5Electric (100%)112.4321.10.00900.0257Statewide (Unknown Housing Type)2.0Electric (100%)60.6173.10.00490.01391.75Electric (100%)90.9259.70.00730.02081.5Electric (100%)121.2346.30.00970.0278Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering.SourcesEfficiency Vermont, Technical Reference User Manual: Measure Savings Algorithms and Cost Assumptions, TRM User Manual No. 2008-53, 07/18/08, HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. in a single family electric DHW (ELEC=100%) home:ΔkWh = 1.0 * 1.0 * [(2.5 – 1.5) * 7.8 * 0.6 * 2.4 * 365 * (101 - 55) * 8.3 * (1/3412) / 0.98] / 1.3360.1 = kWhFor example, a direct-installed (ISR=100%) 1.5 GPM low flow showerhead in an unknown family type home with electric DHW (ELEC=100%) where the number of showers is not known:ΔkWh = 1.0 * 1.0* [(2.5 – 1.5) * 7.8* 0.6 * 2.4 * 365 * (101 - 55) * 8.3 * (1/3412) / 0.98] / 1.2390.1 = kWh HYPERLINK "" SavingsHousing TypeLow Flow Rate (gpm)ELEC (water heater fuel)Unit Energy Savings (kWh)Unit Demand Savings (kW)Single Family2.0Unknown (43%)77.40.00621.75Unknown (43%)116.10.00931.5Unknown (43%)154.80.0124Multifamily2.0Unknown (43%)72.40.00581.75Unknown (43%)108.70.00871.5Unknown (43%)144.90.0116Statewide (Unknown Housing Type)2.0Unknown (43%)83.90.00671.75Unknown (43%)125.80.01011.5Unknown (43%)167.70.0134Single Family2.0Electric (100%)180.00.01441.75Electric (100%)270.10.02161.5Electric (100%)360.10.0289Multifamily2.0Electric (100%)168.40.01351.75Electric (100%)252.70.02021.5Electric (100%)336.90.0270Statewide (Unknown Housing Type)2.0Electric (100%)195.00.01561.75Electric (100%)292.60.02341.5Electric (100%)390.10.0313Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering.SourcesCadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Uses the federal minimum GPM allowed as the baseline for the replaced showerheads, corresponding to 2.5 GPM.Illinois TRM Effective June 1, 2013. Allows for varying flow rate of the low-flow showerhead, most notably values of 2.0 GPM, 1.75 GPM and 1.5 GPM. Custom or actual values are also allowed for.Table 6. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. The study compared shower length by single-family and multifamily populations, finding no statistical difference in showering times. For the energy-saving analysis, the study used the combined single-family and multifamily average shower length of 7.8 minutes.American Community Survey 5-Year (2013-2017) Estimates for 2017. HYPERLINK "" . Table 8. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Table 4-7, section 4.2.4. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2014. For The Pennsylvania Public Utility Commission .For each shower fixture metered, the evaluation team knew the total number of showers taken, duration of time meters remained in each home, and total occupants reported to live in the home. From these values average showers taken per day, per person was calculated. The study compared showers per day, per person by single-family and multifamily populations, finding no statistical difference in the values. For the energy-saving analysis, the study used the combined single-family and multifamily average showers per day, per person of 0.6.Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Temperature sensors provided the mixed water temperature readings resulting in an average of 101?F.Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the ETDF algorithm components. The CF for showerheads is found to be 0.00380: [% showerhead use during peak × (TPerson-Day × NPerson × Nshowers-day) /( Nshowerheads-home)] / 240 (minutes in peak period) = [11.7% × (7.8 x 2.5 x 0.6 / 1.5)] / 240 = 0.00371. The Hours for showerheads is found to be 47.5: (TPerson-Day× NPersons× 365) /( Nshowerheads-home) / 60 = (7.8 x 2.5 x 0.6 x 365) / 1.5 / 60 = 47.5. The resulting ETDF is calculated to be 0.00008014: CF / Hours = 0.00380 / 47.5 = 0.00008014.NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" of PY9 values for kit delivery for FirstEnergy EDCs. HYPERLINK "" Thermostatic Shower Restriction ValvesTarget SectorResidential EstablishmentsMeasure UnitWater HeaterMeasure Life15 yearsSource 1VintageRetrofitThis measure relates to the installation of a device that reduces hot water usage during shower warm-up by way of a thermostatic shower restriction valve, reducing hot water waste during shower warm-up.EligibilityThis protocol documents the energy savings attributable to installing a thermostatic restriction valve, device, or equivalent product on an existing showerhead. Only homes with electric water heaters are eligible. Savings associated with this measure may be combined with a low flow showerhead as the sum of the savings of the two measures. The target sector primarily consists of residences.AlgorithmsThe annual energy savings are obtained through the following formula:?kWh = ISR ×ELEC × GPMbase× 8.3BTUgal?℉ × Tout- Tin 3412BTUkWh×RE × BehavioralWasteSeconds ×Npersons × Nshowers-day×365daysyr60 secmin×Nshowerheads-home ΔkWpeak=ΔkWh × ETDF The ratio of the average energy usage during 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from average daily load shape data collected for showerheads from an Aquacraft, Inc study.Source 2 The average daily load shapes (percentages of daily energy usage that occur within each hour) during are plotted in REF _Ref533692635 \h Figure 23: Daily Load Shapes for Hot Water Measures below (symbol SHOW represents showerheads).Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 3: Daily Load Shapes for Hot Water MeasuresSource 2Definition of TermsDefault savings assume an electric resistance storage water heater with RE = 0.98.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 63: Terms, Values, and References for Thermostatic Shower Restriction ValveParameterUnitValueSourceGPMBase, Gallons per minute of baseline showerheadgallonsminEDC Data Gathering orDefault:Standard shower head=2.5Low Flow Shower Head=1.53Npersons, Average number of persons per householdpersonshouseholdEDC Data Gathering orDefault:SF=2.5MF=1.7Unknown=2.54NShowers-Day, Average number of showers per person per dayshowersday0.65Nshowerheads-home, Average number of showerhead fixtures in the homeNoneEDC Data Gathering orDefault:SF=1.6MF=1.1Unknown = 1.56Tout, Assumed temperature of water used by showerhead° FEDC Data Gathering orDefault: 1047Tin, Assumed temperature of water entering house° F528RE, Recovery efficiency of electric water heaterProportionDefault: 0.98HPWH: 2.19, 11ETDF, Energy To Demand FactorkW kWhyr0.0000801410ISR, In Service Rate%EDC Data GatheringDefault: 100%EDC Data GatheringELEC, Percentage of homes with electric water heat%EDC Data Gathering orDefault: Electric = 100%Fossil Fuel = 0.0%Unknown=35%6BehavioralWasteSeconds, TimesecEDC Data Gathering orDefault = 597Default SavingsDefault savings values should only be used for direct install delivery.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 64: Default Savings for Thermostatic Restriction ValveApplicationBaseline Flowrate (GPM)Water Heater Fuel(% electric)Energy Savings (kWh/yr)Peak Demand Reduction (kW)Single Family2.5Unknown (35%)38.00.00302Unknown (35%)30.40.00241.5Unknown (35%)22.80.0018Multifamily2.5Unknown (35%)37.60.00302Unknown (35%)30.10.00241.5Unknown (35%)22.60.0018Unknown / Default Housing Type2.5Unknown (35%)40.50.00322Unknown (35%)32.40.00261.5Unknown (35%)24.30.0019Single Family2.5Electric (100%)108.60.00872Electric (100%)86.90.00701.5Electric (100%)65.10.0052Multifamily2.5Electric (100%)107.40.00862Electric (100%)85.90.00691.5Electric (100%)64.40.0052Unknown / Default Housing Type2.5Electric (100%)115.80.00932Electric (100%)92.70.00741.5Electric (100%)69.50.0056Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering.SourcesUniform Plumbing Code (UPC) certification under the International Association of Plumbing and Mechanical Officials standard IGC 244-2007a stipulates device must meet 10,000 cycles without failure. Measure life: [10,000 cycles / (Npersons x Nshowers-day x 365)] = [10,000 / (2.5 x 0.6 x 365)] = 18 years. Note that measure life is calculated to be 18 years; however, PA Act 129 savings can be claimed for no more than 15 years.Aquacraft, Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Uses the federal minimum GPM allowed as the baseline for the replaced showerheads, corresponding to 2.5 GPM.American Community Survey 5-Year (2013-2017) Estimates for 2017. HYPERLINK "" . Table 8. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. For each shower fixture metered, the evaluation team knew the total number of showers taken, duration of time meters remained in each home, and total occupants reported to live in the home. From these values average showers taken per day, per person was calculated. The study compared showers per day, per person by single-family and multifamily populations, finding no statistical difference in the values. For the energy-saving analysis, the study used the combined single-family and multifamily average showers per day, per person of 0.6.Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . PPL Electric 2014 ShowerStart Pilot Study. Cadmus memo to PPL Electric in November 2014. The previous Tout value was based on the average water temperature of the entire shower, whereas this pilot study Tout value is based on the average water temperature of the period after the user resumed the water flow by pulling the ShowerStart cord. This pilot study Tout value is more accurate than the previous value because it excludes the warmup phase of the shower and thus reflects the temperature of the water saved by the ShowerStart device during the behavioral waste period more accurately. The BehavioralWasteSeconds value represents the average time the ShowerStart device is engaged during a shower. The BehavioralWasteSeconds value includes instances when the user did not engage the ShowerStart device (instances when BehavioralWasteSeconds = 0s).Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" Aquacraft, Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the Table 4-67, section 4.6.3. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2014. For The Pennsylvania Public Utility Commission. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Temperature sensors provided the mixed water temperature readings resulting in an average of 101?F. Inlet water temperatures were measured and a weighted average based upon city populations was used to calculate the value of 55?F.A good approximation of annual average water main temperature is the average annual ambient air temperature. Average water main temperature = 55° F based on: HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the FEDETDF algorithm components. The CF for showerheads is found to be 0.0037100380: [% showerhead use during peak × (TPerson-Day × NPerson) /(S/ × Nshowers-day) /( Nshowerheads-home)] / 240 (minutes in peak period) = [11.7% × (7.8 x 2.65 x 0.6 / 1.65)] / 240 = 0.0037100380. The Hours for showerheads is found to be 46.347.5: (TPerson-Day× NPersons× 365) /(S/ Nshowerheads-home) / 60 = (7.8 x 2.65 x 0.6 x 365) / 1.65 / 60 = 46.347.5. The resulting FEDETDF is calculated to be 0.0000801300008014: CF / Hours = 0.00371 / 46.300380 / 47.5 = 0.00008013. 00008014.Figure 4-17, Section 4.6.1 of the 2014 Pennsylvania Statewide Residential End-Use and Saturation Study. This study finds that only 43% of households statewide have an electric water heater. As such, if the proportion of households with electric water heaters is unknown, deemed savings should only be applied to 43% of the study group. NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" Shower Restriction ValveMeasure NameThermostatic Shower Restriction ValveNEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" Water Heat Recovery UnitsTarget SectorResidential EstablishmentsMeasure UnitWater HeaterUnit Energy SavingsPartially DeemedUnit Peak Demand ReductionPartially DeemedMeasure Life10 yearsVintageRetrofitThis measure relates to the installation of a device that reduces hot water usage during shower warm-up by way of a thermostatic shower restriction valve, reducing hot water waste during shower warm-up.EligibilityThis protocol documents the energy savings attributable to installing a thermostatic restriction valve, device, or equivalent product on an existing showerhead. Only homes with electric water heaters are eligible, and the Savings associated with this measure may be combined with a low flow showerhead as the sum of the savings of the two measures. The target sector primarily consists of residences.AlgorithmsThe annual energy savings are obtained through the following formula:Measure UnitDrain Water Heat Recovery UnitMeasure Life15 yearsSource 12VintageRetrofit, New ConstructionThis measure relates to the installation of a vertical drain water heat recovery unit in homes with electric water heaters. Drain water heat recovery units capture waste heat from shower grey water and use it to preheat cold water that is delivered to the shower mixing valve, the water heater, or both. Savings are calculated per drain water heat recovery unit. A term is included to accommodate multifamily buildings with multiple units’ drains connected to a single drain water heat recovery unit.EligibilityThis protocol documents the energy savings attributable to installing a vertical drain water heat recovery unit to a shower drain pipe. The target sector primarily consists of residences.Algorithms?kWhyr = ISR ×ELEC × GPMbase 60 secmin × UH ×UE × Tout- Tin × Npersons × Nshowers-dayShome ×BehavioralWasteSeconds RE ×365daysyr ΔkWpeak =ΔkWh × ETDF The annual energy savings are obtained through the following formula:?kWh = Tout- Tin×8.3BTUgal?℉×GPM×Tperson-day×Npersons×Nshowers-day×Nunits×365daysyr×SF3412BTUkWh×RE ?kWpeak =? kWh×ETDFWhere:ETDF =CFHOUGiven:CF =%shower use, peak×Tperson-day×Npersons×Nshowers-day240minutesdaily peakHOU =Tperson-day×Npersons×Nshowers-day×365daysyr60minuteshourThe ratio of the average energy usage during 2 PM and 6 PM on summer weekdays to the total annual energy usage is taken from average daily load shape data collected for showerheads from an Aquacraft, Inc study.Source 8 The average daily load shapes (percentages of daily energy usage that occur within each hour) during are plotted in REF _Ref413853329 \h Figure 23 REF _Ref525828253 \h Figure 22 below (symbol SHOW represents showerheads).Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 34: Daily Load Shapes for Hot Water MeasuresMeasuresSource 2 REF AquaCraft Definition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6865: Assumptions: Terms, Values, and References for Thermostatic Shower Restriction ValveDrain Water Heat Recovery UnitsParameterUnitValueSourceGPMBase, Gallons per minute of baseline showerheadgallonsminEDC Data GatheringDefault:Standard shower head=2.5Low Flow Shower Head=1.51Npersons, Average number of persons per householdpersonshouseholdDefault SF=2.4Default MF=1.9Default unknown=2.4Or EDC Data Gathering2NShowers-Day, Average number of showers per person per dayshowersday0.63days/yeardaysyr365S/home, Average number of showerhead fixtures in the homeNoneDefault SF=1.3Default MF=1.1Default unknown = 1.2Or EDC Data Gathering4Tout, Assumed temperature of water used by showerhead° F104Or EDC Data Gathering5Tin, Assumed temperature of water entering house° F556,7UH, Unit ConversionBtuGal×°F8.3ConventionUE, Unit ConversionkWhBtu1/3412ConventionRE, Recovery efficiency of electric water heaterDecimalDefault: 0.98HPWH: 2.17, 10ETDF, Energy To Demand FactorkW kWhyr0.000080138ISR, In Service Rate%VariableEDC Data GatheringELEC, Percentage of homes with electric water heat%Default: Unknown=43%Or EDC Data Gathering:Electric = 100%Fossil Fuel = 0.0%9BehavioralWasteSeconds, TimesecDefault = 59 or EDC Data Gathering5TermUnitValueSourceTout, Assumed temperature of water used by showerhead° F1015Tin, Assumed temperature of water entering house° F526GPM, Gallons per minute of showerheadgallons minuteDefault standard = 2.5Low-flow = EDC Data Gathering1Tperson-day, Average time of shower usage per person (minutes)minutes day7.82Npersons, Average number of persons per householdpersons houseEDC Data Gathering orDefault SF=2.5Default MF=1.7Default unknown=2.53Nshowers-day, Average number of showers per person per dayshowersperson day0.64Nunits, Number of units in a multifamily building with drains connected to the drain water heat recovery unit.UnitsSF: 1MF: 1 or EDC Data Gathering -SF, Water heating energy savings factor%30%10, 11RE, Recovery efficiency of electric water heaterProportionDefault: 0.98HPWH: 2.17, 9ETDF , Energy To Demand FactorkW kWhyr0.000080138%shower use, peak, percentage of daily shower use during PJM peak period%11.7%8Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 6966: Restriction Valve Calculation Assumptions: Default Savings for Drain Water Heat Recovery UnitApplicationBaseline Flowrate (GPM)ELEC (water heater fuel)Energy Savings (kWh/yr)Peak Demand Reduction (kW)Therm SavingsSingle Family2.5Unknown (43%)52.00.00425.32Unknown (43%)41.60.00334.31.5Unknown (43%)31.20.00253.2Multifamily2.5Unknown (43%)48.60.003952Unknown (43%)38.90.003141.5Unknown (43%)29.20.00233Unknown / Default Housing Type2.5Unknown (43%)56.30.00455.82Unknown (43%)45.10.00364.61.5Unknown (43%)33.80.00273.5Single Family2.5Electric (100%)120.90.00975.32Electric (100%)96.70.00774.31.5Electric (100%)72.50.00583.2Multifamily2.5Electric (100%)113.10.009152Electric (100%)90.50.007341.5Electric (100%)67.90.00543Unknown / Default Housing Type2.5Electric (100%)131.00.01055.82Electric (100%)104.80.00844.61.5Electric (100%)78.60.00633.5Housing TypeFlow Rate (gpm)Energy Savings per Unit (kWh)Demand Savings per Unit (kW)Electric ResistanceHPWHElectric ResistanceHPWHSingle Family/ Unknown2.5365.7170.70.02930.01372.0292.6136.50.02340.01091.75256.0119.50.02050.00961.5219.4102.40.01760.0082Multifamily2.5248.7116.10.01990.00932.0198.992.80.01590.00741.75174.181.20.01390.00651.5149.269.60.01200.0056Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering.SourcesCadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Uses the federal minimum GPM allowed as the baseline for the replaced showerheads, corresponding to 2.5 GPM.Table 4-7, section 4.2.4. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2014. For The Pennsylvania Public Utility Commission.Table 6. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. The study compared shower length by single-family and multifamily populations, finding no statistical difference in showering times. For the energy-saving analysis, the study used the combined single-family and multifamily average shower length of 7.8 minutes.American Community Survey 5-Year (2013-2017) Estimates for 2017. HYPERLINK "" . Table 8. Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. For each shower fixture metered, the evaluation team knew the total number of showers taken, duration of time meters remained in each home, and total occupants reported to live in the home. From these values average showers taken per day, per person was calculated. The study compared showers per day, per person by single-family and multifamily populations, finding no statistical difference in the values. For the energy-saving analysis, the study used the combined single-family and multifamily average showers per day, per person of 0.6.Cadmus and Opinion Dynamics Evaluation Team. Showerhead and Faucet Aerator Meter Study. For Michigan Evaluation Working Group. June 2013. Temperature sensors provided the mixed water temperature readings resulting in an average of 101?F.Using Rock Spring, PA (Site 2036) as a proxy, the mean of soil temperature at 40 inch depth is 51.861. Calculated using Daily SCAN Standard - Period of Record data from April 1999 to December 2018 from the Natural Resource Conservation Service Database. HYPERLINK "" . Methodology follows Missouri TRM 2017 Volume 2: Commercial and Industrial Measures. p. 78. HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" , Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the Table 4-67, section 4.6.3. GDS Associates, Inc. Pennsylvania Statewide Residential End-Use Saturation Study, 2014. For The Pennsylvania Public Utility Commission. PPL Electric 2014 ShowerStart Pilot Study. Cadmus memo to PPL Electric in November 2014. The previous Tout value was based on the average water temperature of the entire shower, whereas this pilot study Tout value is based on the average water temperature of the period after the user resumed the water flow by pulling the ShowerStart cord. This pilot study Tout value is more accurate than the previous value because it excludes the warmup phase of the shower and thus reflects the temperature of the water saved by the ShowerStart device during the behavioral waste period more accurately. The BehavioralWasteSeconds value represents the average time the ShowerStart device is engaged during a shower. The BehavioralWasteSeconds value includes instances when the user did not engage the ShowerStart device (instances when BehavioralWasteSeconds = 0s).A good approximation of annual average water main temperature is the average annual ambient air temperature. Average water main temperature = 55° F based on: HYPERLINK "" Directory. All electric storage water heaters have a recovery efficiency of .98. HYPERLINK "" Aquacraft, Inc., Water Engineering and Management. The end use of hot water in single family homes from flow trace analysis. 2001. HYPERLINK "" . The statewide values were used for inputs in the FEDETDF algorithm components. The CF for showerheads is found to be 0.0037100380: [% showerhead use during peak × (TPerson-Day × NPerson) /(S/ × Nshowers-day) /( Nshowerheads-home)] / 240 (minutes in peak period) = [11.7% × (7.8 x 2.65 x 0.6 / 1.65)] / 240 = 0.0037100380. The Hours for showerheads is found to be 46.347.5: (TPerson-Day× NPersons× 365) /(S/ Nshowerheads-home) / 60 = (7.8 x 2.65 x 0.6 x 365) / 1.65 / 60 = 46.347.5. The resulting FEDETDF is calculated to be 0.0000801300008014: CF / Hours = 0.00371 / 46.300380 / 47.5 = 0.00008013. Figure 4-17, Section 4.6.1 of the 2014 Pennsylvania Statewide Residential End-Use and Saturation Study. This study finds that only 43% of households statewide have an electric water heater. As such, if the proportion of households with electric water heaters is unknown, deemed savings should only be applied to 43% of the study group00008014.NEEA Heat Pump Water Heater Field Study Report. Prepared by Fluid Market Strategies. October 22, 2013. HYPERLINK "" HYPERLINK "" Recovery from Wastewater Using a Gravity-Film Heat Exchanger, Department of Energy Federal Energy Management Program. U.S. DOE Federal Energy Management Program report DOE/EE-0247 Revised. July, 2005. Lower end of 30 – 50% range estimated for different devices and installation configurations (equal, unequal to water heater, and unequal to shower). HYPERLINK "" et al., Drain Water Heat Recovery Characterization and Modeling, Sustainable Buildings and Communities, Natural Resources Canada, Ottawa, June 29, 2007. HYPERLINK "" , Talbot, Kaufman, “Emerging Hot Water Technologies and Practices for Energy Efficiency as of 2011,” ACEEE, February 2012. Note that measure life is defined as 30 years; however, PA Act 129 Legislation caps measure life at 15 years.AppliancesENERGY STAR RefrigeratorsMeasure NameRefrigeratorsTarget SectorResidential EstablishmentsMeasure UnitRefrigeratorUnit Energy SavingsVaries by ConfigurationUnit Peak Demand ReductionVaries by ConfigurationMeasure Life12 years14 yearsSource 1VintageReplace on BurnoutVintageReplace on BurnoutEligibilityThis measure is for the purchase and installation of a new refrigerator meeting ENERGY STAR or ENERGY STAR Most Efficient criteria. An ENERGY STAR refrigerator is about 10 percent more efficient than the minimum federal government standard. The ENERGY STAR Most Efficient is a new certification that identifies the most efficient products among those that qualify for ENERGY STAR. ENERGY STAR Most Efficient refrigerators must be at least 15 percent more efficient than the minimum federal standard.AlgorithmsThe general form of the equation for the ENERGY STAR Refrigerator measure savings algorithm is:Total Savings=Number of Refrigerators × Savings per RefrigeratorTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of refrigerators. The number of refrigerators will be determined using market assessments and market tracking.If the volume and configuration of the refrigerator is known, the baseline model’s annual energy consumption (kWhbase) may be determined using REF _Ref395182543 \h \* MERGEFORMAT Table 271. REF _Ref533166067 \h Table 268.The efficient model’s annual energy consumption (kWhee or kWhme ) may be determined using manufacturers’ test data for the given model. Where test data is not available the algorithms in REF _Ref395182543 \h \* MERGEFORMAT Table 271 REF _Ref533166067 \h Table 268 and REF _Ref395182622 \h \* MERGEFORMAT Table 273 REF _Ref533166078 \h Table 270 for “ENERGY STAR and ENERGY STAR Most Efficient maximum energy usage in kWh/year” may be used to determine the efficient energy consumption for a conservative savings estimate.ENERGY STAR RefrigeratorΔkWh/yr=kWh base – kWheeΔkWpeak=(kWh base – kWhee)×=kWh base – kWhee×ETDFENERGY STAR Most Efficient RefrigeratorΔkWh/yr=kWh base – kWhmeΔkWpeak=kWh base – kWhme×ETDF Definition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 7067: Assumptions: Terms, Values, and References for ENERGY STAR RefrigeratorsTermUnitValueSourcekWhbase , Annual energy consumption of baseline unitkWh/yr REF _Ref393960948 \h \* MERGEFORMAT Table 271EDC Data GatheringDefault = REF _Ref533166067 \h \* MERGEFORMAT Table 26812kWhee , Annual energy consumption of ENERGY STAR qualified unitkWh/yrEDC Data GatheringDefault = REF _Ref393960948 \h \* MERGEFORMAT Table 271 REF _Ref533166067 \h \* MERGEFORMAT Table 26823kWhme , Annual energy consumption of ENERGY STAR Most Efficient qualified unitkWh/yrEDC Data GatheringDefault = REF _Ref393960979 \h \* MERGEFORMAT Table 273 REF _Ref533706929 \h \* MERGEFORMAT Table 26934ETDF , Energy to Demand FactorkWkWh/yrkWkWhyr0.0001119000161445Refrigerator energy use is characterized by configuration (top freezer, bottom freezer, etc.), volume, whether defrost is manual or automatic and whether there is through-the-door ice. If this information is known, annual energy consumption (kWhbase) of the federal standard model may be determined using REF _Ref395182543 \h Table 271. REF _Ref533166067 \h Table 268. The efficient model’s annual energy consumption (kWhee or kWhme) may be determined using manufacturer’s test data for the given model. Where test data is not available, the algorithms in REF _Ref395182543 \h Table 271 REF _Ref533166067 \h Table 268 and REF _Ref395182622 \h Table 273 REF _Ref533706929 \h Table 269 for “ENERGY STAR and ENERGY STAR Most Efficient maximum energy usage in kWh/year” may be used to determine efficient energy consumption for a conservative savings estimate. The term “AV” in the equations refers to “Adjusted Volume” in ft3, where AV = (Fresh Volume) + 1.63 x (Freezer Volume). The term “AV” in the equations refers to “Adjusted Volume” in ft3. For Category 1 and 1A “All-refrigerators”:AV=Fresh Volume+Freezer VolumeFor all other categories:AV=Fresh Volume+1.76×Freezer VolumeTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 7168: Federal Standard and ENERGY STAR Refrigerators Maximum Annual Energy Consumption if Configuration and Volume KnownRefrigerator CategoryFederal Standard Maximum Usage in kWh/yrENERGY STAR Maximum Energy Usage in kWh/yrStandard Size Models: 7.75 cubic feet or greater1. Refrigerator-freezers and refrigerators other than all-refrigerators with manual defrost.7.99AV99 × AV + 225.07.19 *× AV + 202.51A. All-refrigerators—manual defrost.6.79AV79 × AV + 193.66.11 *× AV + 174.22. Refrigerator-freezers—partial automatic defrost7.99AV99 × AV + 225.07.19 *× AV + 202.53. Refrigerator-freezers—automatic defrost with top-mounted freezer without an automatic icemaker.8.07AV07 × AV + 233.77.26 *× AV + 210.33-BI. Built-in refrigerator-freezer—automatic defrost with top-mounted freezer without an automatic icemaker.9.15AV15 × AV + 264.98.24 *× AV + 238.43I. Refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.8.07AV07 × AV + 317.77.26 *× AV + 294.33I-BI. Built-in refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.9.15AV15 × AV + 348.98.24 *× AV + 322.43A. All-refrigerators—automatic defrost.7.07AV07 × AV + 201.66.36 *× AV + 181.43A-BI. Built-in All-refrigerators—automatic defrost.8.02AV02 × AV + 228.57.22 *× AV + 205.74. Refrigerator-freezers—automatic defrost with side-mounted freezer without an automatic icemaker.8.51AV51 × AV + 297.87.66 *× AV + 268.04-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer without an automatic icemaker.10.22AV22 × AV + 357.49.20 *× AV + 321.74I. Refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker without through-the-door ice service.8.51AV51 × AV + 381.87.66 *× AV + 352.04I-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker without through-the-door ice service.10.22AV22 × AV + 441.49.20 *× AV + 405.75. Refrigerator-freezers—automatic defrost with bottom-mounted freezer without an automatic icemaker.8.85AV85 × AV + 317.07.97 *× AV + 285.35-BI. Built-In Refrigerator-freezers—automatic defrost with bottom-mounted freezer without an automatic icemaker.9.40AV40 × AV + 336.98.46 *× AV + 303.25I. Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.8.85AV85 × AV + 401.07.97 *× AV + 369.35I-BI. Built-In Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.9.40AV40 × AV + 420.98.46 *× AV + 387.25A. Refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service.9.25AV25 × AV + 475.48.33 *× AV + 436.35A-BI. Built-in refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service.9.83AV83 × AV + 499.98.85 *× AV + 458.36. Refrigerator-freezers—automatic defrost with top-mounted freezer with through-the-door ice service.8.40AV40 × AV + 385.47.56 *× AV + 355.37. Refrigerator-freezers—automatic defrost with side-mounted freezer with through-the-door ice service.8.54AV54 × AV + 432.87.69 *× AV + 397.97-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer with through-the-door ice service.10.25AV25 × AV + 502.69.23 *× AV + 460.7Compact Size Models: Less than 7.75 cubic feet and 36 inches or less in height11. Compact refrigerator-freezers and refrigerators other than all-refrigerators with manual defrost.9.03AV03 × AV + 252.38.13 *× AV + 227.pact all-refrigerators—manual defrost.7.84AV84 × AV + 219.17.06 *× AV + 197.212. Compact refrigerator-freezers—partial automatic defrost5.91AV91 × AV + 335.85.32 *× AV + 302.213. Compact refrigerator-freezers—automatic defrost with top-mounted freezer.11.80AV80 × AV + 339.210.62 *× AV + 305.313I. Compact refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker.11.80AV80 × AV + 423.210.62 *× AV + 389.313A. Compact all-refrigerators—automatic defrost.9.17AV17 × AV + 259.38.25 *× AV + 233.414. Compact refrigerator-freezers—automatic defrost with side-mounted freezer.6.82AV82 × AV + 456.96.14 *× AV + 411.214I. Compact refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker.6.82AV82 × AV + 540.96.14 *× AV + 495.215. Compact refrigerator-freezers—automatic defrost with bottom-mounted freezer.11.80AV80 × AV + 339.210.62 *× AV + 305.315I. Compact refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker.11.80AV80 × AV + 423.210.62 *× AV + 389.3The default values for each configuration are given in REF _Ref413853573 \h Table 272.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 7269: Default Savings Values for ENERGY STAR RefrigeratorsRefrigerator CategoryAssumed Adjusted Volume of Unit (cubic feet) Source 6Conventional Unit Energy Usage in kWh/yrENERGY STAR Energy Usage in kWh/yrΔkWh/yrΔkWpeak1A. All-refrigerators—manual defrost.12.215.127629624926728300.003100482. Refrigerator-freezers—partial automatic defrost12.215.132234629031132350.003600563A. All-refrigerators3I. Refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.17.915.146230842427838310.004200504I3I. Refrigerator-freezers—automatic defrost with sidetop-mounted freezer with an automatic icemaker without through-the-door ice service.22.7257549752645549410.005500675I4I. Refrigerator-freezers—automatic defrost with bottomside-mounted freezer with an automatic icemaker without through-the-door ice service.20.028.157862152956749540.0055008775A. Refrigerator-freezersfreezer—automatic defrost with sidebottom-mounted freezer with through-the-door ice service.24.631.564376658769856680.006201105A5I. Refrigerator-freezerfreezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.25.424.871062064856762540.007000867. Refrigerator-freezers3A. All-refrigerators—automatic defrost with side-mounted freezer with through-the-door ice service.12.230.528869325963229610.00320098Compact Size Models: Less than 7.75 cubic feet and 36 inches or less in pact all-refrigerators—manual defrost.3.34.124525122022624250.0027004012. Compact refrigerator-freezers—partial automatic defrost3.34.1355360320324360.0040005813. Compact refrigerator-freezers—automatic defrost with top-mounted freezer.4.5.639240535336539400.0044006515. Compact refrigerator-freezers—automatic defrost with bottom-mounted freezer.5.16.339941435937240410.00450067ENERGY STAR Most Efficient annual energy consumption (kWhme) may be determined using manufacturer’s test data for the given model. Where test data is not available, the algorithms in REF _Ref395182622 \h \* MERGEFORMAT Table 273 REF _Ref533166078 \h \* MERGEFORMAT Table 270 for “ENERGY STAR Most Efficient maximum energy usage in kWh/year” may be used to determine efficient energy consumption for a conservative savings estimate. Baseline annual energy usage consumption (kWhbase) of the federal standard model may be determined using REF _Ref405449068 \h \* MERGEFORMAT Table 271. “Eann” REF _Ref533166067 \h \* MERGEFORMAT Table 268. Eann stands for Maximum Annual Energy Usage.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 7370: ENERGY STAR Most Efficient Annual Energy Usage if Configuration and Volume KnownKnownSource 4Refrigerator CategoryENERGY STAR Most Efficient Maximum Annual Energy Usage in kWh/yr1. Refrigerator-freezers and refrigerators other than all-refrigerators with manual defrost.AV ≤ 65.671.5, Eann ≤ 6.79*39 × AV + 191.3180.0AV > 65.671.5, Eann ≤ 6372. Refrigerator-freezers—partial automatic defrostAV ≤ 65.671.5, Eann ≤ 6.79*39 × AV + 191.3180.0AV > 65.671.5, Eann ≤ 6373. Refrigerator-freezers—automatic defrost with top-mounted freezer without an automatic icemaker.AV ≤ 63.9, Eann ≤ 6.86*AV + 198.6AV > 63.9, Eann ≤ <637 kWh/yr3-BI. Built-in refrigerator-freezer—automatic defrost with top-mounted freezer without an automatic icemaker.AV ≤ 63.9, Eann ≤ 6.86*AV + 198.6AV > 63.9, Eann ≤ <637 kWh/yr3I. Refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 51.6, Eann ≤ 6.86*AV + 282.6AV > 51.6, Eann ≤ <637 kWh/yr3I-BI. Built-in refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 51.6, Eann ≤ 6.86*AV + 282.6AV > 51.6, Eann ≤ <637 kWh/yr4. Refrigerator-freezers—automatic defrost with side-mounted freezer without an automatic icemaker.AV ≤ 53.058.6, Eann ≤ 7.23*6.81 × AV + 253.1322.2AV > 53.058.6, Eann ≤ 6374-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer without an automatic icemaker.AV ≤ 53.058.6, Eann ≤ 7.23*6.81 × AV + 253.1322.2AV > 53.058.6, Eann ≤ 6374I. Refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 41.446.2, Eann ≤ 7.23*6.81 × AV + 337.1322.2AV > 41.446.2, Eann ≤ 6374I-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 41.446.2, Eann ≤ 7.23*6.81 × AV + 337.1322.2AV > 41.446.2, Eann ≤ 6375. Refrigerator-freezers—automatic defrost with bottom-mounted freezer without an automatic icemaker.AV ≤ 48.854.2, Eann ≤ 7.52*08 × AV + 269.5253.6AV > 48.854.2, Eann ≤ 6375-BI. Built-In Refrigerator-freezers—automatic defrost with bottom-mounted freezer without an automatic icemaker.AV ≤ 48.854.2, Eann ≤ 7.52*08 × AV + 269.5253.6AV > 48.854.2, Eann ≤ 6375I. Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 37.742.3, Eann ≤ 7.52*08 × AV + 353.5337.6AV > 37.742.3, Eann ≤ 6375I-BI. Built-In Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.AV ≤ 37.742.3, Eann ≤ 7.52*08 × AV + 353.5337.6AV > 37.742.3, Eann ≤ 6375A. Refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service.AV ≤ 28.032.4, Eann ≤ 7.86*40 × AV + 416.7397.1AV > 28.0, Eann ≤ 6375A-BI. Built-in refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service.AV ≤ 28.032.4, Eann ≤ 7.86*40 × AV + 416.7397.1AV > 28.0, Eann ≤ 6376. Refrigerator-freezers—automatic defrost with top-mounted freezer with through-the-door ice service.AV < 41.5, Eann ≤ 7.14*AV + 340.2AV > 41.5, Eann ≤ <637 kWh/yr7. Refrigerator-freezers—automatic defrost with side-mounted freezer with through-the-door ice service.AV ≤ 35.340.1, Eann ≤ 7.26*6.83 × AV + 380.5363.0AV > 35.3, Eann ≤ 6377-BI. Built-In Refrigerator-freezers—automatic defrost with side-mounted freezer with through-the-door ice service.AV ≤ 35.340.1, Eann ≤ 7.26*6.83 × AV + 380.5363.0AV > 35.3, Eann ≤ 637Default SavingsDefault SavingsThe defaultTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 71: Default Savings Values for each ENERGY STAR Most Efficient RefrigeratorsSource 4Refrigerator CategoryAssumed Adjusted Volume of Unit (ft3) Source 7Conventional Unit Energy Usage in kWh/yrENERGY STAR Most Efficient Consumption in kWh/yr Source 4 ΔkWhΔkWpeak1. Refrigerator-freezers and refrigerators other than all-refrigerators with manual defrost.15.1296277200.00322. Refrigerator-freezers—partial automatic defrost15.1346277690.01123I. Refrigerator-freezers—automatic defrost with top-mounted freezer with an automatic icemaker without through-the-door ice service.22.2497397990.01604I. Refrigerator-freezers—automatic defrost with side-mounted freezer with an automatic icemaker without through-the-door ice service.28.16215141070.01735A. Refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service. 31.57666301370.02205I. Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service. 24.8593513800.01297. Refrigerator-freezers—automatic defrost with side-mounted freezer with through-the-door ice service.30.56935711220.0197Evaluation 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 for Residential Refrigerators and Freezers, Effective 9/14/2014. HYPERLINK "" STAR Program Requirements Product Specifications for Residential Refrigerators and Freezers Version 5.0. Effective 9/15/2014. HYPERLINK "" STAR Most Efficient 2019 Recognition Criteria for Refrigerator-Freezers. Table 2. HYPERLINK "" with the conversion factors in the Mid-Atlantic, Illinois, and Wisconsin TRMs. Derived from: (Temperature Adjustment Factor × Load Shape Adjustment Factor)/8760 hours. The temperature adjustment factor is 1.23 and is based on Blasnik, Michael, "Measurement and Verification of Residential Refrigerator Energy Use, Final Report, 2003-2004 Metering Study", July 29, 2004 (p. 47) and assuming 78% of refrigerators are in cooled space (based on BGE Energy Use Survey, Report of Findings, December 2005; Mathew Greenwald & Associates) and 22% in un-cooled space. The load shape adjustment factor is 1.15, based on the same report.ENERGY STAR Appliances Calculator. Accessed July 2018. HYPERLINK "" STAR Most Efficient volumes taken from average sizes of qualified units. Energy Star Qualified Models. Accessed July 25, 2018. HYPERLINK "" STAR FreezersTarget SectorResidential EstablishmentsMeasure UnitFreezerMeasure Life11 yearsSource 4VintageReplace on BurnoutEligibilityThis measure is for the purchase and installation of a new freezer meeting ENERGY STAR criteria. An ENERGY STAR freezer must be at least 10 percent more efficient than the minimum federal government standard.AlgorithmsTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of freezers. The number of freezers will be determined using market assessments and market tracking.If the volume and configuration of the freezer is known, the baseline model’s annual energy consumption (kWhbase) may be are determined using REF _Ref533707311 \h Table 272. The efficient model’s annual energy consumption (kWhee) may be determined using manufacturer’s test data for the given model. Where test data is not available the algorithms in REF _Ref533165960 \h Table 273 for “ENERGY STAR Maximum Energy Usage in kWh/year” may be used to determine the efficient energy consumption for a conservative savings estimateENERGY STAR FreezerΔkWh=kWh base- kWheeΔkWpeak=kWh base- kWhee×ETDFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 72: Terms, Values, and References for ENERGY STAR FreezersTermUnitValueSourcekWhbase , Annual energy consumption of baseline unitkWh/yrEDC Data GatheringDefault = REF _Ref533165960 \h \* MERGEFORMAT Table 2731kWhee , Annual energy consumption of ENERGY STAR qualified unitkWh/yrEDC Data GatheringDefault = REF _Ref533165960 \h \* MERGEFORMAT Table 2732ETDF , Energy to Demand FactorkWkWhyr0.00016143Freezer energy use is characterized by configuration (upright, chest or compact), volume and whether defrost is manual or automatic. If this information is known, annual energy consumption of the federal minimum efficiency standard model may be determined using REF _Ref533707311 \h Table 272. The efficient model’s annual energy consumption (kWhee) may be determined using manufacturers’ test data for the given model. Where test data is not available, the algorithms in REF _Ref533165960 \h Table 273 for “ENERGY STAR maximum energy usage in kWh/year” may be used to determine efficient energy consumption for a conservative savings estimate. The term “AV” in the equations refers to “Adjusted Volume,” which is AV = 1.76 × Freezer Volume.Table STYLEREF 1 \s 2given in REF _Ref332024588 \h \* MERGEFORMAT Table 274 SEQ Table \* ARABIC \s 1 73: Federal Standard and ENERGY STAR Freezers Maximum Annual Energy Consumption if Configuration and Volume KnownFreezer CategoryFederal Standard Maximum Usage (kWh/yr)ENERGY STAR Maximum Energy Usage (kWh/yr)8. Upright freezers with manual defrost.5.57 × AV + 193.75.01 × AV + 174.39. Upright freezers with automatic defrost without an automatic icemaker.8.62 × AV + 228.37.76 × AV + 205.59I. Upright freezers with automatic defrost with an automatic icemaker.8.62 × AV + 312.37.76 × AV + 289.59-BI. Built-In Upright freezers with automatic defrost without an automatic icemaker.9.86 × AV + 260.98.87 × AV + 234.89I-BI. Built-in upright freezers with automatic defrost with an automatic icemaker.9.86 × AV + 344.98.87 × AV + 318.810. Chest freezers and all other freezers except compact freezers.7.29 × AV + 107.86.56 × AV + 97.010A. Chest freezers with automatic defrost.10.24 × AV + 148.19.22 × AV + 133.316. Compact upright freezers with manual defrost.8.65 × AV + 225.77.79 × AV + 203.117. Compact upright freezers with automatic defrost.10.17 × AV + 351.99.15 × AV + 316.718. Compact chest freezers.9.25 × AV + 136.88.33 × AV + 123.1The default values for each configuration are given in REF _Ref533707546 \h Table 274. Note that a compact freezer is defined as a freezer that has a volume less than 7.75 cubic feet and is 36 inches or less in height.Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 74: Default Savings Values for ENERGY STAR Most Efficient RefrigeratorsFreezersRefrigerator CategoryAssumed Volume of Unit (cubic feet)Conventional Unit Energy Usage in kWh/yrENERGY STAR Most Efficient Consumption in kWh/yrΔkWh/yrΔkWpeak5. Refrigerator-freezers—automatic defrost with bottom-mounted freezer without an automatic icemaker.14.3449358910.01025I. Refrigerator-freezers—automatic defrost with bottom-mounted freezer with an automatic icemaker without through-the-door ice service.26.2633538950.01065A. Refrigerator-freezer—automatic defrost with bottom-mounted freezer with through-the-door ice service.32.17726311410.0158Freezer CategoryAverage Unit Adj. Volume (ft3)Conventional UsageSource 5 (kWh/yr)ENERGY STAR Usage Source 5 (kWh/yr)ΔkWhΔkWpeak8. Upright freezers with manual defrost.12.6264237270.00439. Upright freezers with automatic defrost without an automatic icemaker.24.7441397440.007110. Chest freezers and all other freezers except compact freezers.18.5243218250.003916. Compact upright freezers with manual defrost.3.7257231260.004217. Compact upright freezers with automatic defrost.7.7430387430.007018. Compact chest freezers.8.9219197220.0035Evaluation 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.SourcesFederal Standards for Residential Refrigerators and Freezers, Effective 9/14/2014. STAR Program Requirements Product Specifications for Residential Refrigerators and Freezers Version 5.0. Effective 9/15/2014. with the conversion factors in the Mid-Atlantic, Illinois, and Wisconsin TRMs. Derived from: (Temperature Adjustment Factor × Load Shape Adjustment Factor)/8760 hours. The temperature adjustment factor is 1.23 and is based on Blasnik, Michael, "Measurement and Verification of Residential Refrigerator Energy Use, Final Report, 2003-2004 Metering Study", July 29, 2004 (p. 47) and assuming 78% of refrigerators are in cooled space (based on BGE Energy Use Survey, Report of Findings, December 2005; Mathew Greenwald & Associates) and 22% in un-cooled space. The load shape adjustment factor is 1.15, based on the same report.California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.ENERGY STAR Qualified Refrigerators and Freezers. Accessed October 2018. HYPERLINK "" / Freezer Recycling with and without ReplacementENERGY STAR Recognition Criteria for Most Efficient Refrigerator-Freezers. Table 2. HYPERLINK "" of Energy and Capacity Savings Potential In Iowa. Quantec in collaboration with Summit Blue Consulting, Nexant, Inc., A-TEC Energy Corporation, and Britt/Makela Group, prepared for the Iowa utility Association, February 2008. HYPERLINK "" STAR FreezersMeasure NameFreezersTarget SectorResidential EstablishmentsMeasure UnitFreezerUnit Energy SavingsVaries by ConfigurationUnit Peak Demand ReductionVaries by ConfigurationMeasure Life12Without Replacement: Source 1Refrigerator: 5 years Freezer: 4 yearsWith Replacement (see Measure Life below):Refrigerator: 6 years Freezer: 5 yearsVintageReplace on BurnoutEligibility This measure is for the purchase and installation of a new freezer meeting ENERGY STAR criteria. An ENERGY STAR freezer must be at least 10 percent more efficient than the minimum federal government standard. AlgorithmsThe general form of the equation for the ENERGY STAR Freezer measure savings algorithm is:Total Savings=Number of Freezers × Savings per FreezerTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of freezers. The number of freezers will be determined using market assessments and market tracking.If the volume and configuration of the freezer is known, the baseline model’s annual energy consumption (kWhbase) may be are determined using REF _Ref413853655 \h Table 275. The efficient model’s annual energy consumption (kWhee) may be determined using manufacturer’s test data for the given model. Where test data is not available the algorithms in REF _Ref395183179 \h \* MERGEFORMAT Table 276 for “ENERGY STAR Maximum Energy Usage in kWh/year” may be used to determine the efficient energy consumption for a conservative savings estimateENERGY STAR FreezerΔkWh/yr=kWh base- kWheeΔkWpeak=(kWh base- kWhee)×ETDFDefinition of TermsTermUnitValueSourcekWhbase , Annual energy consumption of baseline unitkWh/yr REF _Ref394906323 \h \* MERGEFORMAT Table 2751kWhee , Annual energy consumption of ENERGY STAR qualified unitkWh/yrEDC Data GatheringDefault= REF _Ref394906323 \h \* MERGEFORMAT Table 2752ETDF , Energy to Demand FactorkWkWh/yr0.00011193Freezer energy use is characterized by configuration (upright, chest or compact), volume and whether defrost is manual or automatic. If this information is known, annual energy consumption of the federal minimum efficiency standard model may be determined using REF _Ref413853655 \h \* MERGEFORMAT Table 275. The efficient model’s annual energy consumption (kWhee) may be determined using manufacturers’ test data for the given model. Where test data is not available, the algorithms in REF _Ref395183179 \h \* MERGEFORMAT Table 276 for “ENERGY STAR maximum energy usage in kWh/year” may be used to determine efficient energy consumption for a conservative savings estimate. The term “AV” in the equations refers to “Adjusted Volume,” which is AV = 1.73 x Total Volume. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 75: Federal Standard and ENERGY STAR Freezers Maximum Annual Energy Consumption if Configuration and Volume KnownFreezer CategoryFederal Standard Maximum Usage in kWh/yearENERGY STAR Maximum Energy Usage in kWh/year8. Upright freezers with manual defrost.5.57AV + 193.75.01 * AV + 174.39. Upright freezers with automatic defrost without an automatic icemaker.8.62AV + 228.37.76 * AV + 205.59I. Upright freezers with automatic defrost with an automatic icemaker.8.62AV + 312.37.76 * AV + 289.59-BI. Built-In Upright freezers with automatic defrost without an automatic icemaker.9.86AV + 260.98.87 * AV + 234.89I-BI. Built-in upright freezers with automatic defrost with an automatic icemaker.9.86AV + 344.98.87 * AV + 318.810. Chest freezers and all other freezers except compact freezers.7.29AV + 107.86.56 * AV + 97.010A. Chest freezers with automatic defrost.10.24AV + 148.19.22 * AV + 133.316. Compact upright freezers with manual defrost.8.65AV + 225.77.79 * AV + 203.117. Compact upright freezers with automatic defrost.10.17AV + 351.99.15 * AV + 316.718. Compact chest freezers.9.25AV + 136.88.33 * AV + 123.1The default values for each configuration are given in REF _Ref332024807 \h \* MERGEFORMAT Table 276. Note that a compact freezer is defined as a freezer that has a volume less than 7.75 cubic feet and is 36 inches or less in height.Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 76: Default Savings Values for ENERGY STAR FreezersFreezer CategoryAverage Adjusted Volume of Qualified Units in ft3Conventional Unit Energy Usage in kWh/yrENERGY STAR Energy Usage in kWh/yrΔkWh/yrΔkWpeak8. Upright freezers with manual defrost.Currently no qualified units9. Upright freezers with automatic defrost without an automatic icemaker.24.7441419220.002510. Chest freezers and all other freezers except compact freezers.18.5243215280.003116. Compact upright freezers with manual defrost.3.7258232260.002917. Compact upright freezers with automatic defrost.7.7430367630.007118. Compact chest freezers.8.9219177420.0047Evaluation 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.SourcesFederal Standards for Residential Refrigerators and Freezers, Effective 9/14/2014. HYPERLINK "" STAR Program Requirements Product Specifications for Residential Refrigerators and Freezers Version 5.0. Effective 9/15/2014. HYPERLINK "" of Energy and Capacity Savings Potential In Iowa. Quantec in collaboration with Summit Blue Consulting, Nexant, Inc., A-TEC Energy Corporation, and Britt/Makela Group, prepared for the Iowa utility Association, February 2008. HYPERLINK "" Refrigerator / Freezer Recycling with and without ReplacementMeasure NameRefrigerator/Freezer Recycling and ReplacementTarget SectorResidential EstablishmentsMeasure UnitRefrigerator or FreezerDefault Unit Annual Energy Savings- RefrigeratorsVaries by EDCDefault Unit Peak Demand Reduction- RefrigeratorsVaries by EDCDefault Unit Annual Energy Savings- FreezersVaries by EDCDefault Unit Peak Demand Reduction- FreezersVaries by EDCMeasure Life (no replacement)8 yearsVintageEarly Retirement, Early ReplacementEligibilityRefrigerator recycling programs are designed to save energy through the removal of old-but operable refrigerators from service. By offering free pickup, providing incentives, and disseminating information about the operating cost of old refrigerators, these programs are designed to encourage consumers to:Discontinue the use of secondary refrigeratorsRelinquish refrigerators previously used as primary units when they are replaced (rather than keeping the old refrigerator as a secondary unit)Prevent the continued use of old refrigerators in another household through a direct transfer (giving it away or selling it) or indirect transfer (resale on the used appliance market).Commonly implemented by third-party contractors (who collect and decommission participating appliances), these programs generate energy savings through the retirement of inefficient appliances. The decommissioning process captures environmentally harmful refrigerants and foam and enables the recycling of the plastic, metal, and wiring components.This protocol applies to both residential and non-residential sectors, as refrigerator and freezer usage and energy usage are assumed to be independent of customer rate class.. The savings algorithms are based on regression analysis of metered data on kWh consumption from other States. The savings algorithms for this measure can be applied to refrigerator and freezer retirements or early replacements meeting the following criteria:Existing, working refrigerator or freezer 10-30 cubic feet in size (savings do not apply if unit is not working)Unit is a primary or secondary unitEDCs can use data gathering to calculate program savings using the savings algorithms, the Existing Unit Energy Consumption (UEC) regression equation coefficients, and actual program year recycled refrigerator/freezer data.AlgorithmsEDCs can use the default values listed for each EDC in REF _Ref405388560 \h Table 278 and REF _Ref405388562 \h Table 279 orThe total annual energy savings (kWh/yr) achieved from recycling old-but-operable refrigerators are calculated using the following general algorithms:Energy SavingsΔkWh=N×UEC-kWhee×PARTUSENote that lifetime savings will be calculated with this same general algorithm but with an adjusted measure life.Unit Energy ConsumptionSource 2To calculate the UEC of the existing refrigerator or freezer an EDC can calculate program savings using the savings algorithms, the Existing UEC regression equation coefficients, and actual program year recycled refrigerator/freezer data. An EDC’s use of actual program year data can provide a more accurate annual ex ante savings estimate than default values would due to the changing mix of recycled appliance models from year-to-year.The kWhee of the efficient refrigerator may be determined using manufacturers’ test data for the given model. If test data are not available, the algorithms in REF _Ref533166067 \h Table 268 or REF _Ref533166078 \h Table 270 may be used to determine the efficient energy consumption for ENERGY STAR and ENERGY STAR Most Efficient models, respectively.The kWhee of the efficient freezers may be determined using manufacturers’ test data for the given model. If test data are not available, the algorithms in REF _Ref533165960 \h Table 273 may be used to determine the efficient unit’s energy consumption.Note that if the unit is being recycled without replacement, the REPLACEMENTUEC variable takes on the value of zero.UECRefrigerator = 365.25 days×0.582+0.027×AGE +1.055×PRE1990+0.067×AV –1.977×CONFIGsingle-door+1.071×CONFIGside-by-side+0.605×PRIMARY+0.02×UNCONDITIONED×CDD÷365.25daysyear-0.045×UNCONDITIONED×HDD÷365.25daysyear UECFreezer= 365.25 days×-0.955+0.0454×AGE +0.543×PRE1990+0.120×AV+0.298×CONFIGchest+0.082×UNCONDITIONED×CDD÷365.25daysyear-0.031×UNCONDITIONED×HDD÷365.25daysyearAdjusted Volume (AV)The adjusted volume equations below account for the greater load of freezer compartments compared to compartments for fresh food. For Category 1 and 1A “All-refrigerators”:AV=Fresh Volume+Freezer VolumeFor all other categories:AV=Fresh Volume+1.76×Freezer VolumeAlgorithmsThe total energy savings (kWh/yr) achieved from recycling old-but-operable refrigerators is calculated using the following general algorithm:ΔkWh/yr = N * EXISTING_UEC * PART_USEWhen calculating net savings (kWh/yr) EDCs should review the SWE team Appliance Retirement NTG protocols in the Pennsylvania Evaluation Framework, which – like the gross savings protocols presented here – follow the recommendations of the U.S. DOE Uniform Method Project, Savings Protocol for Refrigerator Retirement, April 2013.Peak Demand SavingsUse the below algorithm to calculate the peak demand savings. Multiply the annual kWh savings by an Energy to Demand Factor (ETDF), which is supplied in REF _Ref405469710 \h \* MERGEFORMAT Table 277 below.ΔkWpeak=?kWh/yr×ETDFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 77: Calculation Assumptions and Definitions for Refrigerator and Freezer RecyclingComponentUnitValuesSourceEXISTING_UEC , The average annual unit energy consumption of participating refrigerators and freezers for Program year 5. REF _Ref405388560 \h \* MERGEFORMAT Table 278 and REF _Ref405388562 \h \* MERGEFORMAT Table 279 below provide the equation inputs needed to calculate the UEC for removed refrigerators and freezers respectively as well as the calculation of the default Unit Energy Consumption value for refrigerators or freezers for each EDC.kWh/yrEDC Data GatheringOr Default = REF _Ref405388560 \h \* MERGEFORMAT Table 278 and REF _Ref405388562 \h \* MERGEFORMAT Table 2791, 2PART_USE , The portion of the year the average refrigerator or freezer would likely have operated if not recycled through the program%EDC Data Gathering According to Section 4.3 of UMP ProtocolDefault:Refrigerator= 96.9%Freezer= 98.5%7N , The number of refrigerators recycled through the programNoneEDC Data GatheringETDF , Energy to Demand FactorkWkWh/yr0.00011198UEC Equations and Default ValuesFor removed refrigerators, the annual Unit Energy Consumption (UEC) is based upon regression analyses of data from refrigerators metered and recycled through five utilities. The UEC for removed refrigerators was calculated specifically for each utility using data collected from each utility’s Program Year Five (PY5) Appliance Removal programs. Therefore, each UEC represents the average ages, sizes, etc of the fleet of refrigerators removed in Program Year Five. Existing UECRefrigerator = 365.25*(0.582 + 0.027*(average age of appliance) + 1.055*(% of appliances manufactured before 1990)+0.067*(number of cubic feet) – 1.977*( % of single door units)+1.071*(% of side-by-side)+0.605*(% of primary usage)+0.02*(unconditioned space CDDs)- 0.045*(unconditioned HDDs)) = kWh Source for refrigerator UEC equation: US DOE Uniform Method Project, Savings Protocol for Refrigerator Retirement, April 2013.Refrigerator UEC (Unit Energy Consumption) EquationEquation Intercept and Independent VariablesEstimate Coefficient (Daily kWh)Intercept0.582Appliance Age (years)0.027Dummy: Manufactured Pre-19901.055Appliance Size (cubic feet)0.067Dummy: Single-Door Configuration-1.977Dummy: Side-bu-Side Configuration1.071Dummy: Percent of Primary Usage (in absence of program)0.6054Interaction: Located in Unconditioned space x CDDs0.02Interaction: Located in Unconditioned space x HDDs-0.045Existing UECFreezer= 365.25 days*-0.955+0.0454*average age of appliance +0.543*% of appliances manufactured pre-1990+0.120*average number of cubic feet+0.298*% of appliances that are chest freezers-0.031*[HDDs]+0.082*CDDs= kWh Source for freezer UEC equation: Rocky Mountain Power Utah See ya later, refrigerator?: Program Evaluation Report 2011-2012. The Cadmus Group. 2013. (Used on recommendation of Doug Bruchs, author of UMP Refrigerator Recycling Protocol).Freezer UEC (Unit Energy Consumption) EquationEquation Intercept and Independent VariablesEstimate Coefficient (Daily kWh)Intercept-0.955Appliance Age (years)0.0454Dummy: Manufactured Pre-19900.543Appliance Size (cubic feet)0.120% of appliances that are chest freezers0.298Interaction: Located in Unconditioned space x HDDs-0.031Interaction: Located in Unconditioned space x CDDs0.082The Commission has computed the EDC-specific values that are needed for input to the regression equations for determining the Unit Energy Consumption based on Act 129 PY5 data provided by each EDC for refrigerators and freezers removed in PY5. REF _Ref405388560 \h \* MERGEFORMAT Table 278 and REF _Ref405388562 \h \* MERGEFORMAT Table 279 below provide the equation inputs needed to calculate the UEC for removed refrigerators and freezers, respectively. Note, however, that the percent of program units that were manufacturered prior to 1990 is expected to decline over time as more of these older units either fail or are already recycled through the program. Because these input values will be dropping each year, EDC data gathering – rather than default values – are required for this one input. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 78: Default values for Residential Refrigerator Recycling UECVariable NameDuquesnePECOPPLMet EdPenelecPenn PowerWest Penn PowerAppliance Age (years)16.98720.67429.41423.38326.60326.98823.966Manufactured Pre-1990EDC Data GatheringAppliance Size (cubic feet)17.58019.01818.34018.72517.90118.51218.096Single-Door Configuration0.0510.0460.0520.0380.0490.0440.050Side-by-Side Configuration0.1510.2450.1920.2260.1720.2270.197Percent of Primary Usage0.4490.2020.6520.1950.5740.4960.489Unconditioned space x CDDs0.6411.9450.3561.7500.5530.8060.801Unconditioned space x HDDs5.0698.1502.0789.7235.9576.3766.340Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 79: Default values for Residential Freezer Recycling UECVariable NameDuquesnePECOPPLMet EdPenelecPenn PowerWest Penn PowerAppliance Age (years)31.97327.58637.48728.96431.06230.99131.316Dummy: Manufactured Pre-1990EDC Data GatheringAppliance Size (cubic feet)15.52515.15715.74215.47115.84115.95315.892% of appliances that are chest freezers0.2510.1980.2790.3590.2920.3270.276Interaction: Located in Unconditioned space x HDDs10.1489.2414.92710.95011.40210.49510.800Interaction: Located in Unconditioned space x CDDs1.2832.2050.8431.9711.0581.3271.365Part-Use FactorWhen calculating default per unit kWh savings for a removed refrigerator or freezer, it is necessary to calculate and apply a “Part-Use” factor. “Part-use” is an appliance recycling-specific adjustment factor used to convert the UEC (determined through the methods detailed above) into an average per-unit deemed savings value. The UEC itself is not equal to the default savings value, because: (1) the UEC model yields an estimate of annual consumption, and (2) not all recycled refrigerators and freezers would have operated year-round had they not been decommissioned through the program.In Program Year 3, the Commission determined that the average removed refrigerator was plugged in and used 96.972.8% of the year and the average freezer was plugged in and used 9884.5% of the year. Thus,Source 4 These are the default valuevalues for the part-use factor is 96.9% (and 98.5%) based on program year 3 data for all EDCs.. EDCs may elect to calculate an EDC-specific part-use factor for a specific program year. In the event an EDC desires to calculate an EDC-specific part-use factor, EDCs should use the methodology described in section 4.3 of the DOE, Uniform Methods Project protocol.Source 3Peak Demand SavingsUse the below algorithm to calculate the peak demand savings. Multiply the annual kWh savings by an Energy to Demand Factor (ETDF), which is supplied below.ΔkWpeak=?kWh×ETDFDefinition of Terms “Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 75: Terms, Values, and References for Refrigerator and Freezer Recycling Evaluation Protocol”, April 2013. TermUnitValuesSourceN , The number of refrigerators recycled through the programNoneEDC Data GatheringPART_USE , The portion of the year the average refrigerator or freezer would likely have operated if not recycled through the program%EDC Data Gathering According to Section 4.4 of UMP ProtocolDefault: Refrigerator= 72.8%Freezer= 84.5%4ETDF , Energy to Demand FactorkWkWhyr0.00016145AGE, age of applianceyearsEDC Data GatheringPRE1990, Fraction of appliances manufactured before 1990%EDC Data GatheringAV, Adjusted Volume/calculated as described aboveft3EDC Data GatheringCONFIGsingle-door, Fraction of refrigerators with single-door configuration%EDC Data GatheringCONFIGside-by-side, Fraction of refrigeraors with side-by-side configuration%EDC Data GatheringCONFIGchest, Fraction of freezers with chest configuration%EDC Data GatheringPRIMARY, Fraction of appliances in primary use (in absence of program)%EDC Data GatheringUNCONDITIONED, Fraction of appliances located in Unconditioned space%EDC Data GatheringDefault: Refrigerator=8%Freezer=45%9CDD, Cooling degree days°F-day/yearSee CDD in Vol. 1, App. A10HDD, Heating degree days°F-day/yearSee HDD in Vol. 1, App. A10kWhee , Annual energy consumption of ENERGY STAR qualified unitkWh/yrEDC Data GatheringRefrigerator Default: See REF _Ref533166067 \h \* MERGEFORMAT Table 268 or REF _Ref533166078 \h \* MERGEFORMAT Table 270 in Sec. REF _Ref533691790 \w \h 2.4.1 ENERGY STAR RefrigeratorsFreezer Default: See REF _Ref533165960 \h \* MERGEFORMAT Table 273 in Sec. REF _Ref535145385 \r \h 2.4.2 ENERGY STAR Freezers7, 8Refrigerator energy use is characterized by configuration (top freezer, bottom freezer, etc.), volume, whether defrost is manual or automatic and whether there is through-the-door ice. The efficient model’s annual energy consumption may be determined using manufacturer’s test data for the given model. If test data are not available, the algorithms REF _Ref533166067 \h \* MERGEFORMAT Table 268 or REF _Ref533166078 \h \* MERGEFORMAT Table 270 in Sec. REF _Ref533691790 \w \h \* MERGEFORMAT 2.4.1 REF _Ref533691776 \h \* MERGEFORMAT ENERGY STAR Refrigerators in may be used to determine the efficient energy consumption for ENERGY STAR and ENERGY STAR Most Efficient models, respectively. The default values for each configuration are reported in REF _Ref533706929 \h \* MERGEFORMAT Table 269 (ENERGY STAR) or REF _Ref533692316 \h \* MERGEFORMAT Table 271 (ENERGY STAR Most Efficient) in Sec. REF _Ref533691790 \w \h \* MERGEFORMAT 2.4.1, ENERGY STAR Refrigerators.Freezer energy use is characterized by configuration (upright, chest or compact), volume and whether defrost is manual or automatic. The efficient model’s annual energy consumption may be determined using manufacturers’ test data for the given model. If test data are not available, the algorithms in REF _Ref533165960 \h \* MERGEFORMAT Table 273 in Sec. REF _Ref535145295 \r \h 2.4.2, ENERGY STAR Freezers may be used to determine the efficient unit’s energy consumption. The default values for each configuration are reported in REF _Ref533707546 \h \* MERGEFORMAT Table 274 in the REF _Ref535145273 \h ENERGY STAR Freezers section. Note that a compact freezer is defined as a freezer that has a volume less than 7.75 cubic feet and is 36 inches or less in height.Measure LifeThe measure lives for refrigerators and freezers recycled without replacement are 5 years and 4 years, respectively, from the California DEER EUA table. These values represent 1/3 of the EUL of a new refrigerator or freezer.For refrigerators and freezers recycled with replacement, the adjusted measure life is 6 years for refrigerators and 5 years for freezers.Adjusted Measure Life Rationale:Refrigerator/freezer recycling with replacement programs commonly calculate savings over two periods, the RUL of the existing unit, and the remainder of the EUL of the efficient unit beyond the RUL of the existing unit. For the first period of savings (the RUL of the existing unit), the energy savings are equal to the savings difference between the existing baseline unit and the ENERGY STAR unit; the RUL can be assumed to be 1/3 of the measure EUL of the ENERGY STAR unit. For the second period of savings (the remaining EUL of the efficient unit), the energy savings are equal to the difference between a Federal Standard unit and the ENERGY STAR unit. The EUL of a new ENERGY STAR refrigerator is 12 years (see the REF _Ref14093914 \h ENERGY STAR Refrigerators section). However, a study of a low-income refrigerator replacement program for SDG&E (2006) found that among the program’s target population, refrigerators are likely to be replaced less frequently than among average customers. As a result, the report updating the California DEER database recommended an EUL of 18 years for such programs.Source 6To simplify the calculation of savings and remove the need to calculate two different savings, an adjusted value for measure life of 6 years for both low-income specific and non-low-income specific programs can be used with the savings difference between the existing baseline unit and the ENERGY STAR unit over the adjusted measure life. The 6-year adjusted measure life is derived by averaging the lifetime savings of a non-low-income replacement with a 12-year measure life and a low-income replacement with an 18-year measure life. The derivation of the 6-year adjusted measure life can be demonstrated with an example of a typical refrigerator replacement with an ENERGY STAR unit. Assuming a refrigerator of type 5l in the REF _Ref14093940 \h ENERGY STAR Refrigerators section with an adjusted volume of 20 ft3, annual savings would be 578 kWh for the RUL of the existing baseline unit and annual savings of 49 kWh for the remaining EUL.In the case of a non-low-income program there is an RUL of 4 years for the existing unit (1/3 * 12 = 4) and a remaining EUL of the efficient unit of 8 years (2/3 * 12 = 8). The lifetime savings are equal to 2,706 kWh (578 kWh/yr * 4 yrs + 49 kWh / yr * 8 yrs), resulting in an adjusted measure life of 5 years: 2,706 kWh / 578 kWh/yr = 5 years. In the case of a low-income program there is an RUL of 6 years for the existing unit (1/3 * 18 = 6) and a remaining EUL of the efficient unit of 12 years (2/3 * 18 = 12). The lifetime savings are equal to 4,059 kWh (578 kWh/yr * 6 yrs + 49 kWh / yr * 12 yrs), resulting in an adjusted measure life of 7 years: 4,059 kWh / 578 kWh/yr = 7 years. Averaging the two lifetime savings values results in an adjusted measure life of 6 years (3,383 kWh / 578 kWh/yr = 6 years) that can be used for both low-income specific and non-low-income specific programs.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.US DOE Uniform Method Project, Savings Protocol for Refrigerator Retirement, April 2017. HYPERLINK "" 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, Uniform Methods Project protocol titled “Refrigerator Recycling Evaluation Protocol”, prepared by Doug Bruchs and Josh Keeling of the Cadmus Group, April 2013.September 2013. HYPERLINK "" on a Cadmus survey of 510 PPL participants in PY8.Consistent with the conversion factors in the Mid-Atlantic, Illinois, and Wisconsin TRMs. Derived from: (Temperature Adjustment Factor × Load Shape Adjustment Factor)/8760 hours. The temperature adjustment factor is 1.23 and is based on Blasnik, Michael, "Measurement and Verification of Residential Refrigerator Energy Use, Final Report, 2003-2004 Metering Study", July 29, 2004 (p. 47) and assuming 78% of refrigerators are in cooled space (based on BGE Energy Use Survey, Report of Findings, December 2005; Mathew Greenwald & Associates) and 22% in un-cooled space. The load shape adjustment factor is 1.15, based on the same report.2004–2005 Final Report: A Measurement and Evaluation Study of the 2004-2005 Limited Income Refrigerator Replacement & Lighting Program, Prepared for: San Diego Gas & Electric, July 31, 2006Federal Standards for Residential Refrigerators and Freezers, Effective 9/14/2014. HYPERLINK "" STAR Program Requirements Product Specifications for Residential Refrigerators and Freezers Version 5.0. Effective 9/15/2014. Rocky Mountain Power Utah See ya later, refrigerator?: Program Evaluation Report 2011-2012. The Cadmus Group. 2013.2009-2010 Pacific Power/Rocky Mountain Power Impact Evaluations - PacifiCorp has impact evaluations for CA, ID, UT, WA, and WY that contain an earlier version of the multi-state Appliance Recycling Program regression models for both refrigerators and freezers. The Statewide Evaluator reviewed the report for the State of Washington, but all states include the same models and are publicly available online. The model coefficients can be found on pages 16 and 17 of the Washington document. HYPERLINK "" Ontario Power Authority Impact Evaluation - This evaluation? report contains a regression equation for annual consumption for refrigerators only (the freezer sample was too small). That equation can be found on page 10 of the OPA evaluation report. See HYPERLINK "" Vermont; Technical Reference User Manual (TRM). 2008. TRM User Manual No. 2008-53. Burlington, VT 05401. July 18, 2008.Mid Atlantic TRM Version 2.0. July 2011. Prepared by Vermont Energy Investment Corporation. Facilitated and managed by Northeast Energy Efficiency Partnerships.Based on program year 3 data for all EDCs.Assessment of Energy and Capacity Savings Potential In Iowa. Quantec in collaboration with Summit Blue Consulting, Nexant, Inc., A-TEC Energy Corporation, and Britt/Makela Group, prepared for the Iowa utility Association, February 2008. HYPERLINK "" HYPERLINK "" average for all housing types from Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" SWE Team Calculations with data from the National Solar Radiation Database. 1991–2005 Update: Typical Meteorological Year 3. NREL. HYPERLINK "" STAR Clothes WashersMeasure NameClothes WashersTarget SectorResidential EstablishmentsMeasure UnitClothes WasherUnit Energy SavingsVaries by Fuel MixUnit Peak Demand ReductionVaries by Fuel MixMeasure Life11 yearsyearsSource 1VintageReplace on BurnoutThis measure is for the purchase and installation of a clothes washer meeting ENERGY STAR eligibility criteria. ENERGY STAR clothes washers use less energy and hot water than non-qualified models.EligibilityThis protocol documents the energy savings attributed to purchasing an ENERGY STAR clothes washer instead of a standard one. 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. The target sector is residential.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. The number of clothes washers will be determined using market assessments and market tracking.Per unit energy and demand savings are given by the following algorithms:kWhyr= kWh=Cycles× CAPYbaseIMEFbase×CWbase+DHWbase×%ElectricDWH+Dryerbase×%ElectricDryer×%dry/wash-CAPYeeIMEFee×CWee+DHWee×%ElectricDWH+Dryeree×%ElectricDryer×%dry/wash CAPYbaseIMEFbase×CWbase+DHWbase×%ElecDWH+Dryerbase×%ElecDryer×%drywash-CAPYeeIMEFee×CWee+DHWee×%ElecDWH+Dryeree×%ElecDryer×%drywash?kWpeak =kWhyrCycles×timecycle=kWhCycles × Timecycle × CFWhere IMEF is the Integrated Modified Energy Factor, which is the energy performance metric for clothes washers. IMEF is defined as:IMEF is the quotient of the cubic foot 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), the energy required for removal of the remaining moisture in the wash load (D), and the combined low-power mode energy consumption (L). The higher the value, the more efficient the clothes washer is.Source 2IMEF=C(M+E+D+L)CM+E+D+LDefinition of TermsDefinition of TermsThe default values for the terms in the algorithms are listed in REF _Ref405449562 \h Table 280. If unit information is known (such as capacity, IMEF, fuel mix) then actual values should be used.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8076: : Terms, Values, and References for ENERGY STAR Clothes Washers - ReferencesTermUnitValueSourceCAPYbase , Capacity of baseline clothes washerft3EDC Data GatheringDefault: 3.105EDC Data Gathering1CAPYEE , Capacity of ENERGY STAR clothes washerft3EDC Data GatheringDefault: 3.5EDC Data Gathering1Default: 3.102IMEFbase , Integrated Modified Energy Factor of baseline clothes washerft3kWhcycle REF _Ref405449680 \h \* MERGEFORMAT Table 281 REF _Ref532214369 \h \* MERGEFORMAT Table 27718IMEFEE , Integrated Modified Energy Factor of ENERGY STAR clothes washer (can also use IMEF, which has same units)ft3kWhcycleEDC Data GatheringDefault: REF _Ref532214369 \h \* MERGEFORMAT Table 277EDC Data Gathering2Default: REF _Ref411264398 \h \* MERGEFORMAT Table 2822Cycles , Number of clothes washer cycles per yearcyclesyr26025135CWbase , % of total energy consumption for baseline clothes washer mechanical operation%98.1%4CWEE , % of total energy consumption for ENERGY STAR clothes washer mechanical operation%95.8%4DHWbase , % of total energy consumption attributed to baseline clothes washer water heating%3726.5%4DHWEE , % of total energy consumption attributed to ENERGY STAR clothes washer water heating%2231.2%4%ElectricDWH, % of total energy consumption attributed to ENERGY STAR clothes washer water heating%ElecDWH, % of water heaters that are electric%EDC Data GatheringDefault: 35%Appliance Saturation StudiesEDC Data Gathering3Default: 43%3Dryerbase , % of total energy consumption for baseline clothes washer dryerwasherdryer operation %5465.4%4DryerEE , % of total energy consumption for ENERGY STAR clothes washer dryer operation%6963.0%4%ElectricDryer%ElecDryer , Percentage of dryers that are electric%EDC Data GatheringDefault: 74%Appliance Saturation StudiesEDC Data Gathering3Default: 76%3%dry/wash%drywash , Percentage of homes with a dryer that use the dryer every time clothes are washed%Default= 9596%Or EDC data gathering5timecycleTimecycle , average duration of a clothes washer cyclehours1.046CF , Demand Coincidence Factor. The coincidence of average clothes washer demand to summer system peakFractionProportion0.0297Future Standards ChangesAs of March 7, 2015 new The current federal minimum efficiency standardsstandard for clothes washers will take effect. Further efficiency standards for top-loading clothes washers gowent into effect beginningon January 1, 2018. The 2015 efficiency standards for front-loading clothes washers will continue, and is not scheduled to be effective in 2018.change until 2024. The efficiency standards and the effective TRM in which these standards become the baseline are detailed in REF _Ref405449680 \h Table 281 and REF _Ref411264398 \h Table 282 REF _Ref532214369 \h Table 277.Note that the current standards are based on the MEF and WF, but beginning 3/7/2015 the standards will be based on the Integrated Modified Energy Factor (IMEF) and Integrated Water Factor (IWF). The IMEF incorporates energy use in standby and off modes and includes updates to the provisions of per-cycle measurements. The IWF more accurately represents consumer usage patterns as compared to the current metric. Previous standards were based on MEF and WF.The corresponding ENERGY STAR updates do not include Compact washers, so these will not be included in the measure.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8177: Federal Standards and ENERGY STAR Specifications for Clothes WashersWashersSource 2, 8PY8 and PY9PY10+ConfigurationMinimum IMEFENERGY STARMinimum IMEFTop-loading, Standard1.29571.572.06Front-loading, Standard1.841.842.76Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8278: ENERGY STAR Product Specifications for: Default Clothes WashersWasher SavingsFuel MixPY8 and PY9Washer TypePY10+kWh?kWpeakENERGY STARMinimum IMEFENERGY STARMinimum IMEFElectric DHW/Electric DryerTop-Loading, Standard129.2.06Pending0.0144Front-Loading154.70.0172Electric DHW/Gas DryerTop-Loading35.80.0040Front-Loading47.40.0053Gas DHW/Electric DryerTop-Loading114.00.0127Front-Loading127.50.0142Gas DHW/Gas DryerTop-Loading20.60.0023Front-Loading, Standard20.2.38Pending0.0022Default (35% Electric DHW, 75% Electric Dryer)Top-Loading95.00.0106Front-Loading109.10.0121Default SavingsThe default values for various fuel mixes are given in REF _Ref421030046 \h Table 283. These are valid for PY8 and PY9 only.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 83: Default Clothes Washer Savings for PY8 and PY9Fuel MixWasher TypekWhyr?kWpeakElectric DHW/Electric DryerTop-Loading230.20.0247Front-Loading99.20.0106Electric DHW/Gas DryerTop-Loading166.10.0178Front-Loading96.50.0104Gas DHW/Electric DryerTop-Loading85.10.0091Front-Loading11.70.0013Gas DHW/Gas DryerTop-Loading21.00.0023Front-Loading8.90.0010Default (43% Electric DHW, 76% Electric Dryer)Top-Loading132.10.0142Front-Loading48.70.0052Evaluation 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 Calculator, EPA research on available models. Accessed June 2013Accessed August 2018. HYPERLINK "" Energy Star Calculator, Average MEF and capacity of all ENERGY STAR qualified clothes washers. Accessed June 2013 Clothes Washers Product Specification Version 7.0. HYPERLINK "" Statewide average for all housing types from Pennsylvania Statewide Residential Baseline Study, 2014.Act 129 2018 Residential Baseline Study, 2018, HYPERLINK "" percentage of total consumption that is used for the machine, water heating and dryer varies with efficiency. Percentages were developed using the above parameters and using the U.S. Department of Energy’s Life-Cycle Cost and Payback Period tool, available at: Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment. Residential Clothes Dryers and Room Air Conditioners, Chapter 7. Clothes Dryer Frequency from Table 7.3.3 for Electric Standard. HYPERLINK "" Calculated using “Frequency of clothes washer use” and “Frequency of dryer use” data for the Mid-Atlantic region from U.S. Department of Energy. 2015 Residential Energy Consumption Survey (2015). HYPERLINK "" data from Navigant Consulting “EmPOWER Maryland Draft Final Evaluation Report Evaluation Year 4 (June 1, 2012 – –May 31, 2013) Appliance Rebate Program.” March 21, 2014, pagep. 36. Same value as used in and 20152018 Mid Atlantic TRM V 8.0. 1.04 hours/cycle derived from 254 cycles/yr and 265 hours/yr run time.Value from Clothes Washer Measure, Mid Atlantic TRM 2014. Metered data from Navigant Consulting “EmPOWER Maryland Draft Final Evaluation Report Evaluation Year 4 (June 1, 2012 – May 31, 2013) Appliance Rebate Program.” March 21, 2014, pagep. 36.U.S. Department of Energy. 10 CFR Parts 429 and 430. Energy Conservation Program: Energy Conservation Standards for Residential Clothes Washers. Direct Final Rule. HYPERLINK "" ENERGY STAR Clothes DryersMeasure NameENERGY STAR Clothes DryersTarget SectorResidentialMeasure UnitClothes DryerUnit Energy SavingsVaries by Dryer typeUnit Peak Demand ReductionVaries by Dryer typeMeasure Life13 years12 yearsSource 4VintageReplace on BurnoutVintageReplace on BurnoutENERGY STAR Clothes Dryers are more efficient than standard ones, and thus save energy. They have a higher CEF (Combined Energy Factor) that standard dryers, and may incorporate a moisture sensor to reduce excessive drying of clothes and prolonged drying cycles.EligibilityThis protocol documents the energy savings attributed to purchasing an electric ENERGY STAR Dryer that meets or exceeds the CEFee requirement in REF _Ref405449771 \h Table 284 REF _Ref532217892 \h Table 280 instead of a standard dryer. 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. The target sector is residential.AlgorithmsThe energy savings are obtained through the following formulas:kWhyr = Cycleswash×%dry/wash×Loadavg×1CEFbase-1CEFee1CEFbase-1CEFee×Loadavg×Cycleswash×%drywash?kWpeak =1CEFbase-1CEFee×Loadavgtimecycle×=1CEFbaseTimebase-1CEFeeTimeee×Loadavg×CFDefinition of TermsThe parameters in the above equation are listed in REF _Ref395183908 \h Table 284.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8479: Calculation Assumptions: Terms, Values, and References for ENERGY STAR Clothes DryersComponentTermUnitValuesSourceCycleswash , Number of washing machine cycles per yearcycles/yr250251 cycles/year1Loadavg , Weight of average dryer load, in pounds per loadlbs/loadStandard Dryer: 8.45 lbs/loadCompact Dryer: 3.000 lbs/load2, 3%dry/wash%drywash , Percentage of homes with a dryer that use the dryer for every time clothes are washedload%9596%Or EDC data gathering31CEFbase , Combined Energy Factor of baseline dryer, in lbs/kWhlbs/kWh REF _Ref394303518 \h \* MERGEFORMAT Table 285 REF _Ref532217892 \h Table 280 or EDC Data Gathering43CEFee , Combined Energy Factor of ENERGY STAR dryer, in lbs/kWhlbs/kWh REF _Ref394303518 \h \* MERGEFORMAT Table 285 REF _Ref532217892 \h Table 280 or EDC Data Gathering52timecycleTimebase , Duration of averagebaseline dryer drying cycle in hoursHours/ cycleDefault: 1 houror EDC Data GatheringDefault = 1.0AssumptionTimeee , Duration of efficient dryer drying cycleHours/ cycleEDC Data GatheringDefault = 1.0AssumptionCFCF , Coincidence FactorFractionProportion0.0420296Based on CF assumption for Clothes WashersTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8580: Combined Energy Factor for baselineFederal Minimum Standard and ENERGY STAR unitsDryersProduct TypeCEFbase (lbs/kWh)CEFee (lbs/kWh)Vented Electric, Standard(4.4 ft? or greater capacity)3.733.93Vented Electric, Compact (120V)(less than 4.4 ft? capacity)3.613.80Vented Electric, Compact (240V) (less than 4.4 ft? capacity)3.273.45Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8681: Default Energy Savings and Demand Reductions for ENERGY STAR Clothes DryersProduct TypeEnergy Savings (kWh/yr)Demand Reduction(kW)Vented Electric, Standard(4.4 ft? or greater capacity)25.0527.80.00480033Vented Electric, Compact (120V)(less than 4.4 ft? capacity)9.0310.00.00170012Vented Electric, Compact (240V)(less than 4.4 ft? capacity)10.411.50.00200014Evaluation ProtocolsEvaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with calculation of energy and demand savings using above algorithms.SourcesStatewide average for all housing types from Pennsylvania Statewide Residential Baseline, 2014.Test Loads for Compact and Standard Dryer in Appendix D2 to Subpart B of Part 430—Uniform Test Method for Measuring the Energy Consumption of Calculated using “Frequency of clothes washer use” and “Frequency of dryer use” data for the Mid-Atlantic region from U.S. Department of Energy. 2015 Residential Energy Consumption Survey (2015). HYPERLINK "" Star. “Clothes Dryers. HYPERLINK "" Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment. Residential Clothes Dryers and Room Air Conditioners, Chapter 7. Clothes Dryer Frequency from Table 7.3.3 for Electric Standard. HYPERLINK "" Standard for Clothes Dryers, Effective January 1, 2015. HYPERLINK "" Key Product Criteria. “ ENERGY STAR Specification for Clothes Dryers Version 1.0, Effective January 1, 2015. HYPERLINK "" HYPERLINK "" Maine Power Company. “Residential End-Use Metering Project”. 1988. Using 8760 data for electric clothes dryers, calculating the CF according to the PJM peak definition.Fuel Switching: ElectricFederal Code of Regulations 10 CFR 430. HYPERLINK "" Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Heat Pump Clothes Dryer to Gas Clothes DryerDryersMeasure NameFuel Switch: Electric Clothes Dryer to Gas Clothes DryerTarget SectorResidential EstablishmentsMeasure UnitFuel Switch: Electric Clothes Dryer to GasPer Clothes DryerUnit Energy Savings567 kWh-2.04 MMBtu (increase in gas consumption)Unit Peak Demand Reduction0.096 kWMeasure Life14 years13 yearsSource 1VintageReplace on Burnout, New ConstructionHeat pump clothes dryers are more energy-efficient than standard dryers. A conventional dryer heats air, passes it through the clothing drum, and exhausts the hot air. A heat pump dryer works by circulating hot air through the clothing drum, extracting moisture from the clothing that becomes condensation after passing over an evaporator coil, then reheating the air before it passes through the drum again. The heat pump dryer saves energy by recirculating the warm air, requiring less heat to reach the desired temperature, and because the process requires a lower air temperature overall to dry clothes. EligibilityThis protocol documents the energy savings attributed to installing a heat pump clothes dryer that meets or exceeds the default CEFee requirements in REF _Ref532218756 \h Table 282. The target sector is residential.AlgorithmsThe following algorithms shall be used to calculate the annual energy savings and coincident peak demand savings for this measure:kWh= 1CEFbase-1CEFee×Loadavg×Cycleswash×%drywash?kWpeak=1CEFbaseTimebase-1CEFeeTimeee×Loadavg×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 82: Terms, Values, and References for Heat Pump Clothes DryersTermUnitValuesSourceΔkWh , Annual Energy SavingskWh/yr REF _Ref532218619 \h \* MERGEFORMAT Table 283-ΔkWpeak , Peak Demand SavingskW REF _Ref532218619 \h \* MERGEFORMAT Table 283-Cycleswash , Number of washing machine cycles per yearcycles/yrEDC Data GatheringDefault = 2512Loadavg , Weight of average dryer loadlbs/cycleStandard = 8.45Compact = 3.003%drywash , Percentage of washed loads that get dried%Default = 96%2CEFbase , Combined Energy Factor of baseline dryer, in lbs/kWhlbs/kWhEDC Data GatheringSee CEFbase of REF _Ref532217892 \h \* MERGEFORMAT Table 280 in Sec. REF _Ref534706333 \r \h \* MERGEFORMAT 04CEFee , Combined Energy Factor of heat pump dryer, in lbs/kWhlbs/kWhEDC Data GatheringDefault:≥4.4 ft3 (std) = 4.50<4.4 ft3 (cmpct) = 4.715Timebase , Duration of baseline dryer drying cycleHours/ cycleEDC Data GatheringDefault = 1.0AssumptionTimeee , Duration of efficient dryer drying cycleHours/ cycleEDC Data GatheringHeat Pump = 1.26CF , Coincidence FactorNoneEDC Data GatheringDefault = 0.029Based on CF assumption for Clothes WashersDefault SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 83: Default Savings for Heat Pump Clothes DryersHeat Pump TypeEnergy Savings (kWh/yr)Peak Demand Reduction (kW)4.4 ft? or greater capacity93.40.0203Less than 4.4 ft3 capacity, 120 V46.80.0087Less than 4.4 ft3 capacity, 240 V67.60.0112Evaluation 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 PennsylvaniaI Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesENERGY STAR, ENERGY STAR Market & Industry Scoping Report - Residential Clothes Dryers, November 2011. HYPERLINK "" using “Frequency of clothes washer use” and “Frequency of dryer use” data for the Mid-Atlantic region from U.S. Department of Energy. 2015 Residential Energy Consumption Survey (2015). HYPERLINK "" Star. “Clothes Dryers Key Product Criteria. “ ENERGY STAR Specification for Clothes Dryers Version 1.0, Effective January 1, 2015. HYPERLINK "" . Code of Federal Regulations, Part 430, Subpart C, Energy and Water Conservation Standards. HYPERLINK "" STAR, Certified Clothes Dryers. HYPERLINK "" (Examined the “ventless” dryers and removed dryers that were condensing and not heat pump. Then took the average CEF of the two different capacity bins.)CLASP, SEDI and Ecova, Analysis of Potential Energy Savings from Heat Pump Clothes Dryers in North America, March 2013. HYPERLINK "" Switching: Electric Clothes Dryer to Gas Clothes DryerTarget SectorResidential EstablishmentsMeasure UnitFuel Switch: Electric Clothes Dryer to Gas Clothes DryerMeasure Life12 yearsSource 1VintageReplace on BurnoutThis protocol outlines the savings associated to purchasing an ENERGY STAR gas clothes dryers to replace an electric dryer. The measure characterization and savings estimates are based on average usage per person and average number of people per household. Therefore, this is a deemed measure with identical savings applied to all installation instances, applicable across all housing types.EligibilityThis measure is targeted to residential customers that purchase an ENERGY STAR gas clothes dryer rather than an electric dryer.AlgorithmskWhyrkWh=kWhbase-kWhgas=597577-30=567547MMBtu= -2.04-1.99kWpeak=?kWhyrCycleswash×%wash/dry×timecycle×CF= 0.096 kW=? kWhCycleswash×%washdry×Timecycle×CF= 0.066 Definition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8784: Terms, Values, and References for Fuel Switching: Electric Clothes Dryer to Gas Clothes Dryer – Values and ResourcesTermUnitValuesSourcekWh, Annual electricity savings, deemedkWhyrEDC Data GatheringDefault = 567CalculatedkWhbase, Baseline annual electricity consumption of electric dryer, deemedkWhyrEDC Data GatheringDefault = 5971kWhgas , Annual electricity consumption of gas dryer, deemedkWhyrEDC Data GatheringDefault = 302MMBtu, Weighted average gas fuel increaseMMBtuEDC Data GatheringDefault = -2.0430.003412, Conversion factorMMBtukWhEDC Data GatheringDefault = 0.003412NoneCycleswash , Number of washing machine cycles per yearcycles/yr2604%dry/wash , Percentage of homes with a dryer that use the dryer every time clothes are washed%95%5timecycle , Duration of average drying cycle in hourshoursEDC Data GatheringDefault= 1AssumptionCF, Coincidence FactorFractionEDC Data GatheringDefault = 0.0426kWhbase, Baseline annual electricity consumption of electric dryer, deemedkWhyr5772, 3kWhgas , Annual electricity consumption of gas dryer, deemedkWhyr304MMBtu, Weighted average gas fuel savings (negative indicates increase in consumption)MMBTU-1.995Cycleswash , Number of washing machine cycles per yearcycles/yr2516%drywash , Percentage of homes with a dryer that use the dryer every time clothes are washed%96%6Timecycle , Duration of average drying cycle in hourshours1AssumptionCF, Coincidence FactorProportion0.029Based on CF assumption for Clothes WashersDefault SavingsSavings estimates for this measure are fully deemed and may be claimed using the algorithms above and the deemed variable inputs.ΔkWh = 547 kWhΔkW = 0.066Evaluation ProtocolsEvaluation ProtocolsThe appropriate evaluation protocol is to verify installation and proper selection of deemed values.SourcesCalifornia Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, . Accessed December 2018.Statewide average for all housing types from Pennsylvania Act 129 2018 Residential Baseline Study, 2018, HYPERLINK "" Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment. Residential Clothes Dryers and Room Air Conditioners, Chapter 7. SourcesENERGY STAR Market and Industry Scoping Report. Residential Clothes Dryers. November, 2011. Pg. 7. Using Average Annual Energy Use in kWh for Vented Electric, Standard and scaling to Pennsylvania cycles/yr from 283 cycles/yr. i.e.: 684 kWh * (260 * 95%)/283 = 567 kWh. HYPERLINK "" Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment. Residential Clothes Dryers and Room Air Conditioners, Chapter 7. Median annual electricity consumption of gas dryers from Table 7.3.4: Electric Standard and Gas Clothes Dryer: Average Annual Energy Consumption Levels by Efficiency HYPERLINK "" Ibid. Median annual electricity consumption of gas dryersNegative gas fuel savings indicate increase in fuel consumption. Average annual consumption for ENERGY STAR qualified gas units as of 6/22/2015: 685.3kWh/yr. Scaling from 283 cycles/yr (national 2005 RECS) to Pennsylvalia251×96%=241 cycles/yr (260*95%): 598.1Mid-Atlantic 2015 RECS): 583.5 kWh/yr. Converting to MMBTU: 598.1*583.5×0.003412 = 2.041.99 MMBTU/yr.Statewide average for all housing types from Pennsylvania Statewide Residential End-Use and Saturation Study, 2014.Calculated using “Frequency of clothes washer use” and “Frequency of dryer use” data for the Mid-Atlantic region from U.S. Department of Energy. 2015 Residential Energy Consumption Survey (2015). HYPERLINK "" Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment. Residential Clothes Dryers and Room Air Conditioners, Chapter 7. Clothes Dryer Frequency from Table 7.3.3 for Electric Standard. HYPERLINK "" Maine Power Company. “Residential End-Use Metering Project”. 1988. Using 8760 data for electric clothes dryers, calculating the CF according to the PJM peak definition.ENERGY STAR DishwashersMeasure NameDishwashersTarget SectorResidential EstablishmentsMeasure UnitDishwasherUnit Energy SavingsVaries by Water Heating Fuel MixUnit Peak Demand ReductionVaries by Water Heating Fuel MixMeasure Life10 yearsyearsSource 1VintageReplace on BurnoutVintageReplace on BurnoutEligibilityThis measure is for the purchase and installation of a dishwasher meeting ENERGY STAR eligibility criteria. ENERGY STAR dishwashers use less energy and hot water than non-qualified models.AlgorithmsThe general form of the measure savings equation for the ENERGY STAR Dishwasher measure savings algorithmDishwashers is:Total Savings=Number of Dishwashers × Savings per DishwasherTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of dishwashers. The number of dishwashers will be determined using market assessments and market tracking.Per unit energy and demand savings algorithms for dishwashers utilizing electrically heated hot water:?kWhyr = kWhbase-kWhee × %kWhOP+%kWhheat×%ElectricDHW× %kWhOP+%kWhheat×%ElectricDHW?kWpeak =?kWhyrHOU×CFDefinition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8885:: Terms, Values, and References for ENERGY STAR Dishwashers - ReferencesComponentUnitValueSourcekWhbase , Annual energy consumption of baseline dishwasherkWh/yr3551kWhee , Annual energy consumption of ENERGY STAR qualified unitkWh/yr2951TermUnitValueSourcekWhbase, Annual energy consumption of baseline dishwasherkWh/yr3071, 6kWhee, Annual energy consumption of ENERGY STAR qualified unitkWh/yr2701, 7%kWhop , Percentage of unit dishwasher energy consumption used for operation%44%1%kWhheat , Percentage of dishwasher unit energy consumption used for water heating%56%1%ElectricDW, Percentage of dishwashers assumed to utilize electrically heated hot water%EDC Data GatheringDefault = 4331.7%2HOU , Hours of use per yearhours/yr2343CF, Demand Coincidence Factor. The coincidence of average dishwasher demand to summer system peakFractionProportion0.0264, 5ENERGY STAR qualified dishwashers must use less than or equal to the water and energy consumption values given in REF _Ref332901367 \h \* MERGEFORMAT Table 289. REF _Ref532224765 \h Table 286. Note, as of May 30, 2013, ENERGY STAR compact dishwashers have the same maximum water and energy consumption requirements as the federal standard and therefore are not included in the TRM since there is not energy savings to be calculated for installation of an ENERGY STAR compact dishwasher. A standard sized dishwasher is defined as any dishwasher that can hold 8 or more place settings and at least six serving pieces.Source 6Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 8986: Federal Standard and ENERGY STAR v 56.0 Residential Dishwasher StandardProduct TypeFederal StandardStandardSource 6ENERGY STAR v 5.06.0Source 7Water(gallons per cycle)Energy(kWh per year)Water(gallons per cycle)Energy(kWh per year)Standard≤ 6.505.0≤ 355307 ≤ 4.253.5≤ 295270The default savings values for electric and non-electric water heating and the default fuel mix from REF _Ref391901122 \h \* MERGEFORMAT Table 288 are given in REF _Ref332917075 \h \* MERGEFORMAT Table 290. REF _Ref532224779 \h Table 287.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9087: Default Dishwasher Energy SavingsWater Heating?kWhyr?kWpeakElectric (%ElectricDHW = 100%)6037.00.0066700411Non-Electric (%ElectricDHW = 0%)26.416.30.0029300181Default Fuel Mix (%ElectricDHW = 43%)4022.80.0045300254Evaluation 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 Appliances Calculator. Accessed July 2013.2018. Energy Star Calculator, EPA research on available models. Accessed August 2018. HYPERLINK "" Statewide average for all housing types from Pennsylvania Statewide Residential Baseline Study, 20142018.2014 Pennsylvania Residential Baseline Study. Submitted by GDS Associates, April 2014.2014 Pennsylvania Residential Baseline Study, HYPERLINK "" . HOU=(3 loads/week)×(52 weeks/yr)×(1.5 hours/load). 3 load/week comes from 2014 Baseline study. 1.5 hours/load is assumption used by Efficiency Vermont and Illinois Statewide TRMs Calculated from Itron eShapes, 8760 hourly data by end use for Missouri, as provided by Ameren. This is the CF value for ENERGY STAR Dishwashers from Illinois Statewide TRM Version 37.0, June 20142018.Illinois Statewide Technical reference Manual for Energy Efficiency Version 7.0. Effective January 1, 2019. HYPERLINK "" Department of ENERGY Website. Appliance and Equipment Standards. Accessed Aug. 2018. HYPERLINK "" Key product Criteria. Accessed Aug. 2018. HYPERLINK "" STAR DehumidifiersMeasure NameDehumidifiersTarget SectorResidential EstablishmentsMeasure UnitDehumidifierUnit Energy SavingsVaries based on capacityUnit Peak Demand ReductionVaries based on capacity Measure Life12 yearsyearsSource 1VintageReplace on BurnoutENERGY STAR qualified dehumidifiers are 15 percent more efficient than non-qualified models due to more efficient refrigeration coils, compressors and fans. ENERGY STAR Most Efficient dehumidifiers are 23 percent more efficient than standard products.Source 6EligibilityThis protocol documents the energy and demand savings attributed to purchasing an ENERGY STAR or ENERGY STAR Most Efficient dehumidifier instead of a standard one. Dehumidifiers must meet ENERGY STAR Version 34.0 Product Specifications to qualify. The target sector is residential.AlgorithmsThe general form of the equation for the ENERGY STAR Dehumidifier measure savings algorithm is:Total Savings=Number of Dehumidifiers × Savings per DehumidifierTo determine resource savings, the per-unit estimates in the algorithms will be multiplied by the number of dehumidifiers. The number of dehumidifiers will be determined using market assessments and market tracking.Per unit energy and demand savings algorithms:?kWhyr = CAPY×0.473literspint24hoursday CAPY×0.473literspint24hoursday ×HOU × 1LkWhbase - 1LkWhee1LkWhbase - 1LkWhee ?kWpeak =?kWhyrHOU×CFDefinition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9188: : Terms, Values, and References for ENERGY STAR Dehumidifier Calculation AssumptionsComponentUnitValueSourcesCAPY , Average capacity of the unitpintsdayEDC Data GatheringHOU , Annual hours of operationhoursyr16321LkWhbase , Baseline unit liters of water per kWh consumedliterskWh REF _Ref373320697 \h \* MERGEFORMAT Table 292, Federal Standard Column2LkWhee , ENERGY STAR qualified unit liters of water per kWh consumedliterskWhEDC Data GatheringDefault : REF _Ref373320697 \h \* MERGEFORMAT Table 292, ENERGY STAR Column3CF , Demand Coincidence Factor Fraction0.4054 REF _Ref332277298 \h \* MERGEFORMAT Table 292 shows the federal standard minimum efficiency and ENERGY STAR standards, effective October 1, 2012. Federal standards do not limit residential dehumidifier capacity, but since ENERGY STAR standards do limit the capacity to 185 pints per day, REF _Ref413854652 \h Table 292 only presents standards for the range of dehumidifier capacities that savings can be claimed. TermUnitValueSourcesCAPY , Average capacity of the unitpintsdayEDC Data GatheringEDC Data GatheringHOU , Annual hours of operationhoursyr1,6321LkWhbase , Baseline unit liters of water per kWh consumedliterskWh REF _Ref535144719 \h Table 2892LkWhee , ENERGY STAR qualified unit liters of water per kWh consumedliterskWhEDC Data GatheringDefault: REF _Ref534647003 \h \* MERGEFORMAT Table 290 or REF _Ref534647046 \h \* MERGEFORMAT Table 2913, 5CF , Demand Coincidence Factor Proportion0.4054 REF _Ref535144719 \h Table 289 shows the federal standard minimum efficiency standards. Federal standards are effective as of June 13, 2019. REF _Ref534647003 \h Table 290 shows ENERGY STAR 4.0 standards effective as of October 25, 2016. REF _Ref534647046 \h Table 291 shows ENERGY STAR Most Efficient 2018 criteria, effective January 2018. Federal standards and ENERGY STAR Most Effiecient criteria distinguish between portable dehumidifiers (designed to dehumidify a confined living space and plugged into an electrical outlet) and whole-home dehumidifiers (incorporated into the home’s HVAC system and designed to dehumidify all conditioned spaces).Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9289: Dehumidifier Minimum Federal Efficiency andStandardsTypeCapacity(pints/day)Federal Standard(LkWhbase)Portable dehumidifier≤ 25≥ 1.30> 25 to ≤ 50≥ 1.60> 50≥ 2.80Whole-home dehumidifierProduct Case Volume(ft3)Federal Standard(LkWhbase)≤ 8≥ 1.77> 8≥ 2.41Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 90: Dehumidifier ENERGY STAR StandardsCapacity(pints/day)Federal Standard(LkWhbase)ENERGY STAR(LkWhee)≤ 351.35≥ 1.85> 35 ≤ 451.50>45 ≤ 541.60>54 < 751.7075 ≤ 1852.5≥ 2.80Capacity(pints/day)ENERGY STAR(LkWhee)< 75≥ 2.0075 to ≤ 185≥ 2.80Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 91: Dehumidifier ENERGY STAR Most Efficient CriteriaTypeCapacity(pints/day)ENERGY STAR(LkWhe)Portable< 75≥ 2.20Whole House< 75≥ 2.30Default SavingsThe annual energy usage and savings of an ENERGY STAR unit over the federal minimum standard are presented in REF _Ref373320705 \h \* MERGEFORMAT Table 293 REF _Ref535144656 \h Table 292 for each capacity range.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9392: Dehumidifier Default Energy SavingsCapacity Range(pints/day)Default Capacity(pints/day)Federal Standard(kWh/yr)ENERGY STAR(kWh/yr)ΔkWh/yrΔkWpeak≤ 35358346092250.05584> 35 ≤ 45459657821830.04541>45 ≤ 545410869391470.03648>54 < 75741,4001,2871130.0280475 ≤ 1851301,6731,4931800.04467Evaluation ProtocolsEfficient ProductCapacity Range(pints/day)Default Capacity(pints/day)Federal Standard(kWh/yr)Efficient Standard(kWh/yr)ΔkWh/yrΔkWpeakENERGY STAR≤ 25251.32.02160.05372> 25 to ≤ 50501.62.02010.04989ENERGY STAR Most Efficient - Portable≤ 25251.32.22530.06279> 25 to ≤ 50501.62.22740.06803ENERGY STAR Most Efficient – Whole House with product case volume ≤ 8 ft3 < 75631.772.32640.06547Evaluation 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.SourcesThe Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures.SourcesENERGY STAR Appliance Savings Calculator. UpdatedAccessedd August, 2013.2018. HYPERLINK "" US Department of ENERGY Website. Appliance and Equipment Standards. Accessed June 2014. STAR Program Requirements Product Specification for Dehumidifiers, Eligibility Criteria Version 3.0. HYPERLINK "" . Accessed November 2, 2018. Metering in PA and Ohio by ADM from 7/17/2013 to 9/22/2013. 31 Units metered. Assumes all non-coincident peaks occur within window and that the average load during this window is representative of the June PJM days as well.ENERGY STAR Water Coolers ENERGY STAR Most Efficient 2018 Recognition Criteria: Dehumidifiers. Accessed November 2, 2018. HYPERLINK "" STAR Most Efficient 2019 memo. Accessed November 2, 2018. HYPERLINK "" RetirementMeasure NameENERGY STAR Water CoolersTarget SectorResidential EstablishmentsMeasure UnitWater CoolerDehumidifierUnit Energy SavingsCold Water Only: 47.5 kWhHot & Cold Storage: 481.8 kWhHot & Cold On-Demand: 733.7 kWhUnit Peak Demand ReductionCold Water Only: 0.00532 kWHot & Cold Storage: 0.0539 kWHot & Cold On-Demand: 0.0821 kWMeasure Life104 yearsVintageReplace on BurnoutEarly RetirementThis measure is defined as retirement and recycling without direct EDC replacement of an operable but older and inefficient room dehumidifier unit that would not have otherwise been recycled. The assumption is that these units will be permanently removed from the grid rather than handed down or sold for use in another location by another EDC customer, and furthermore that they would not have been recycled without this program. This measure is quite different from other energy-efficiency measures in that the energy/demand savings is not the difference between a pre- and post- configuration, but is instead the result of complete elimination of the existing dehumidifier.EligibilityThis protocol estimates savings for installing ENERGY STAR Water Coolers compared to standard efficiency equipment in residential applications. The measurement of savings are not attributable to the customer that owned the dehumidifier, but instead are attributed to a hypothetical user of the equipment had it not been recycled. Energy and demand savings is based on a deemed savings value multiplied by the quantitythe estimated energy consumption of the measure.EligibilityIn order for this measure protocol to apply, the high-efficiency equipment must meet the ENERGY STAR 2.0 efficiency criteria: Cold Only or Cook & Cold Units ≤0.16 kWh /day, Hot & Cold Storage Units ≤0.87 kWh/day, and Hot & Cold On-Demand ≤0.18 kWh/day.AlgorithmsThe general form of the equation for the ENERGY STAR Water Coolers measure savings algorithms is:Total Savings=Number of Water Coolers × Savings per Water CoolerTo determine resource savings, the perretired unit estimates in the algorithms will be multiplied by the number of water coolers. Per unit savings are primarily derived from the May 2012 release of the ENERGY STAR calculator for water coolers. over its remaining useful life (RUL).AlgorithmsPerImpacts are based only on the existing unit, and savings apply only for the remaining useful life (RUL) of the unit.The energy savings and demand savings algorithms:reduction of this measure were established using actual metered residential dehumidifier usage data.The metered data was best fit with a polynomial which is second order in temperature humidity index and first order in capacity:Source 1kWh = -8.36?10-3×THIPJM2+1.19×THIPJM+4.07?10-2×CAPY+ -38.37where:THIPJM= DB-0.55×1-RH×DB-58for DB ≥ 58°F= DBfor DB < 58°FSimilarly, demand was modeled with the following capacity-dependent linear regression:Source 2kW=1.3?10-3×CAPY+ 1.07?10-1Definition of Terms?kWh = kWhbase-kWhee×365daysyear?kWpeak =?kWh ×ETDFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 93: Terms, Values, and References for Dehumidifier RetirementTermUnitValueSourcesCAPY , Average capacity of the unitpintsdayEDC Data GatheringDefault: 51 pt/dayEDC Data Gathering3THI , Temperature Humidity Index-Calculated4DB , Dry bulb temperature℉See Source5RH , Relative humidity%See Source5The results of the kWh calculation for typical dehumidifier capacities in each of the Climate Regions are presented in the following table. For capacity values not listed in the table, it is acceptable to calculate a value by linear interpolation of the savings values for the adjacent capacities.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 94: ENERGY STAR Water Coolers – References Dehumidifier Retirement Annual Energy Savings (kWh)ComponentUnitValueSourceskWhbase , Energy use of baseline water coolerkWh/dayCold Only: 0.29Hot & Cold: 2.191kWhee , Energy use of ENERGY STAR water coolerkWh/dayCold Only: 0.16Hot & Cold Storage: 0.87Hot & Cold On-Demand: 0.18or EDC Data Gathering2HOU , Annual hours of useHours/year87603ETDF , Energy to Demand FactorkWkWh/yr0.00011193Default SavingsAnnual kWh Savings by Climate RegionClimate RegionReference CityCapacity (pints per day)253035404550606570110CAllentown6286566847127407688248528811105ABradford386404422440458476512530547691GBinghamton470492513534556577620641663834IErie557582607632656681731756781979EHarrisburg6566867157457748048638929221158DPhiladelphia72675879182385688895498610191280HPittsburgh6056326596867137407958228491066BScranton5776036286546807067587848101016FWilliamsport6516807097387677978558849131146The peak kW reduction for recycling a dehumidifier was taken to be equal to the peak demand of the existing unit. These results are presented in the following table:Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 95: Dehumidifier Retirement Peak Demand Reduction (kW)Capacity253035404550606570110kW0.13930.14580.15230.15880.16530.17180.18480.19130.19790.2499Default Savings for ENERGY STAR Water CoolersCooler Type?kWh?kWpeakCold Only47.5 kWh0.00532 kWHot & Cold Storage481.8 kWh0.0539 kWHot & Cold On-Demand733.7 kWh0.0821 kWSourcesENERGY STAR Water Coolers For programs that do not track capacity, an “unknown” category has been provided based on the weighted average capacity of dehumidifier sales data:Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 96: Default Dehumidifier Retirement Annual Energy Savings (kWh)Annual kWh Savings by Climate RegionRegionReference CityDefaultCAllentown774ABradford479GBinghamton, NY581IErie686EHarrisburg810DPhiladelphia895HPittsburgh746BScranton711FWilliamsport802Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 97: Default Dehumidifier Retirement Peak Demand Reduction (kW)CapacityDefaultkW0.1731Evaluation ProtocolsCalculator (Calculator updated: May 2013).For most projects, the appropriate evaluation protocol is to verify retirement and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify retirement 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 were used. ENERGY STAR Product Specifications for Water Coolers Version 2.0. HYPERLINK "" Assumed to have similar behavior as a refrigerator, and thus uses same ETDF as used in refrigerator measures: Assessment of Energy and Capacity Savings Potential In Iowa. Quantec in collaboration with Summit Blue Consulting, Nexant, Inc., A-TEC Energy Corporation, and Britt/Makela Group, prepared for the Iowa utility Association, February 2008. HYPERLINK "" Metering in PA and Ohio by ADM from 7/17/2013 to 9/22/2013. 31 Units metered; five-minute interval power data was recorded. 58% of the units were Energy Star rated.Ibid., by Act 129 Peak Demand windowStatewide average for all housing types from Pennsylvania Act 129 2018 Residential Baseline Study, 2018, HYPERLINK "" . “PJM Manual 19: Load Forecasting and Analysis Revision: 32”. p. 14. HYPERLINK "" . Accessed January 2019.National Solar Radiation Database. 1991–2005 Update: Typical Meteorological Year 3. NREL. HYPERLINK "" STAR Ceiling FansMeasure NameENERGY STAR Ceiling FansTarget SectorResidential EstablishmentsMeasure UnitCeiling Fan UnitUnit Energy SavingsVaries by Ceiling Fan TypeUnit Peak Demand ReductionVaries by Ceiling Fan TypeMeasure Life2015 years for fan,,Source 1 See Section 2.1.1 REF _Ref303086637 \r \h 2.1.1 for lightingVintageReplace on BurnoutVintageReplace on BurnoutENERGY STAR ceiling fans require a more efficient CFM/Watt rating at the low, medium, and high settings than standard ceiling fans as well as ENERGY STAR qualified lighting for those with light kits included. Both of these features save energy compared to standard ceiling fans.EligibilityThis protocol documents the energy savings attributed to installing an ENERGY STAR Version 34.0 ceiling fan (with or without a lighting kit) in lieu of a standard efficiency ceiling fan. meeting the January 21, 2020 federal efficiency requirements.Source 2 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. The target sector primarily consists of single-family residences.AlgorithmsThe total energy savings is equal to the savings contribution of the fan plus the savings contribution of the lighting, if applicable. If the ENERGY STAR fan does not include a lighting kit, then kWhlighting=0. These algorithms do not seek to estimate the behavioral change attributable to the use of a ceiling fan vs. a lower AC setting.The energy savings are obtained through the following formula:kWhyrtotal kWh = kWhfan+kWhlightingkWhfan =%low×Lowbase-Lowee+%med×Medbase-Medee+%high×Highbase-Highee×1 kW1000 W =Wfan×1 kW1000 W×HOUfan×365daysyr kWhlighting =kWh from Section REF _Ref303086637 \r \h 2.1.1: ENERGY STAR Lightingthe REF _Ref303086637 \h ENERGY STAR Lighting sectionDemand savings result from the lower connected load of the ENERGY STAR fan and ENERGY STAR lighting. Peak demand savings are estimated using a Coincidence Factor (CF).?kWpeak, total =?kWpeak, fan+?kWpeak, lightingkWpeak, fan =%low×Lowbase-Lowee+%med×Medbase-Medee+%high×Highbase-Highee×1 kW1000 W=Wfan×1 kW1000 W×CFfan?kWpeak, lighting =?kWpeak from Sectionthe REF _Ref303086637 \r \h 2.1.1: ENERGY STAR Lighting REF _Ref303086637 \h ENERGY STAR Lighting sectionDefinition of TermsDefinition of TermsThe parameters in the above equations are listed in REF _Ref395185659 \h Table 296.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9698: Calculation Assumptions: Terms, Values, and References for ENERGY STAR Ceiling FansComponentUnitValuesSource%low , percentage of low setting use%40%1%med , percentage of medium setting use%40%1%high , percentage of high setting use%20%1Lowbase , Wattage of low setting, baselineWatts15 Watts1Medbase , Wattage of medium setting, baselineWatts34 Watts1Highbase , Wattage of high setting, baselineWatts67 Watts1Lowee , Wattage of low setting, ENERGY STARWattsEDC Data GatheringDefault: 4.8 Watts2, 3Medee , Wattage of medium setting, ENERGY STARWattsEDC Data GatheringDefault: 18.2 Watts2, 3Highee , Wattage of high setting, ENERGY STARWattsEDC Data GatheringDefault: 45.9 Watts2, 3HOUfan , fan daily hours of use hoursdayEDC Data GatheringDefault: 3.0 hours/day1CFfan , Demand Coincidence FactorFractionEDC Data GatheringDefault: 0.0914CFlighting , Demand Coincidence FactorFractionSee Section REF _Ref395185685 \r \h \* MERGEFORMAT 2.14Default SavingsWfan, Weighted average wattage reduction from ENERGY STAR ceiling fanWattsDefault: See REF _Ref532477018 \h Table 2992, 3, 5, 6HOUfan , fan daily hours of use hoursdayEDC Data GatheringDefault: 3.0 hours/day4CFfan , Demand Coincidence FactorProportionEDC Data GatheringDefault: 0.0917CFlighting , Demand Coincidence FactorProportionSee Section REF _Ref395185685 \r \h \* MERGEFORMAT 2.17Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 9799: Assumed Wattage of ENERGY STAR Ceiling Fans on High SettingCeiling Fan TypeDiameter, D (inches)Wfan (Watts)Standard and Low-Mount High SpeedSmall Diameter (HSSD) Ceiling FansD ≤ 36036 < D < 7823D ≥ 78”31Hugger Ceiling Fan36 < D < 7833Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 100: Energy Savings and Demand Reductions for ENERGY STAR Ceiling Fans Product TypeEnergy Savings (kWh)Demand Reduction (kW)Fan Only16.00.00132Product Type(Fan Only)Diameter, D (inches)Energy Savings (kWh)Demand Reduction (kW)Standard and Low-Mount High Speed Small Diameter (HSSD) Ceiling FansD ≤ 3600.00036 < D < 78250.002D ≥ 78340.002Hugger Ceiling Fan36 < D < 78360.003Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with calculation of energy and demand savings using above algorithms.SourcesSourcesResidential and C&I Lighting and HVAC Report Prepared for SPWG, 2007. p. C-2.Energy and water conservation standards and their compliance dates.10 C.F.R. § 430.32.See ENERGY STAR Ceiling Fans Work Paper 2018.12.5.xlsx for calculations and description of methodology.ENERGY STAR Lighting Fixture and Ceiling Fan Calculator. Updated September, 2013.ENERGY STAR Ceiling? Program Requirements Product Specification for Residential Ceiling Fans and Ceiling Fan Light Kits Eligibility Criteria Version 34.0ENERGY STAR Certified Ceiling Fan List,Fans | EPA ENERGY STAR. HYPERLINK "" . Accessed April 3, 201412/5/2018.EmPOWER Maryland 2012 Final Evaluation Report: Residential Lighting Program, Prepared by Navigant Consulting and the Cadmus Group, Inc., March 2013, Table 50.Consumer ElectronicsENERGY STAR TelevisionsAir Purifiers Measure NameENERGY STAR TelevisionsTarget SectorResidential EstablishmentsMeasure UnitTelevision UnitUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life6 yearsVintageReplace on BurnoutENERGY STAR certified televisions are on average over 25 percent more energy efficient than conventional models, saving energy in all usage modes: sleep, idle, and on.EligibilityMeasure UnitNumber of Air Purifiers installedMeasure Life9 yearsSource 1VintageReplace on Burnout, Early Replacement, Retrofit, New ConstructionAn air purifier (cleaner) is a portable electric appliance that removes dust and fine particles from indoor air. This measure applies to characterizes the purchase of an and installation of a unit meeting the efficiency specifications of ENERGY STAR in place of or instead of a baseline model.EligibilityTV meeting Version 7.0 standards. Version 7.0 standards are effective as of October 30, 2015. Additionally, in 2012This measure targets residential customers who purchase and install an air purifier that meets ENERGY STAR introduced the specifications rather than installing a non-ENERGY STAR Most Efficient designation, which recognizes the most efficient of the unit. In order to qualify, installed air purifiers must meet the following efficiency specifications of ENERGY STAR qualified televisions.:The baseline equipment is a TV meeting ENERGY STAR Version 6.1 requirements.AlgorithmsEnergy Savings (per TV):?kWh/yr =Wbase, active- Wee, active1000WkW× HOUactive× 365daysyrCoincident Demand Savings (per TV):?kWpeak = Wbase,active- Wee, active1000WkW × CFSavings calculations are based on power consumption whileMust produce a minimum 50 ft3/min Clean Air Delivery Rate (CADR) for Dust to be considered under this specification.Minimum Performance Requirement: 2.0 CADR/Watt (Dust)Standby Power Requirement: 2.0 Watts or less. Qualifying models that perform secondary consumer functions (e.g. clock, remote control) must meet the TV is in active mode only, as requirements for standby power requirement.UL Safety Requirement: Models that emit ozone as a byproduct of air cleaning must meet UL Standard 867 (ozone production must not exceed 50ppb)AlgorithmsareThe following algorithms shall be used to calculate the sameannual energy savings and coincident peak demand savings for both baseline and new units. this measure:kWh= kWhBase-kWhEStar?kWpeak=CF ×?kWhHOURSDefinition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 98101: Terms, Values, and References for ENERGY STAR TVs - ReferencesAir PurifierComponentUnitValueSourceHOURSactive , number of hours per day that a typical TV is on (active mode turned on and in usehoursday51Wbase,active, power use (in Watts) of baseline TV while in on mode (i.e. active mode turned on and operating).WattsSee REF _Ref275256585 \h \* MERGEFORMAT Table 2992Wee, active,, Power use of ENERGY STAR Version 6.0 or ENERGY STAR Most Efficient TV while in on mode (i.e. active mode turned on and operating)WattsSee REF _Ref275256585 \h \* MERGEFORMAT Table 2993CF, Demand Coincidence Factor Fraction0.174On Mode Power Consumption RequirementsPon_max=78.5 ×tanh0.0005A-140+ 0.038 + 14Where:Pon_max is the maximum allowable On Mode Power consumption in Watts. All ENERGY STAR Televisions must use 0.5 watts or less while in Sleep Mode (i.e. standby-passive mode).A is the viewable screen area of the product in sq. inches, calculated by multiplying the viewable image width by the viewable image heighttanh is the hyperbolic tangent functionENERGY STAR Most Efficient Televisions must meet all of the program requirements of ENERGY STAR Version 7.0 as well as the following additional requirement:Pon_max=65.5 ×tanh0.00046A-140+ 0.01 + 14.5Where: Pon_max is the maximum allowable On Mode Power consumption in Watts.A is the viewable screen area of the product in sq. inches, calculated by multiplying the viewable image width by the viewable image heighttanh is the hyperbolic tangent function.TermUnitValuesSourcekWhBase, Baseline kWh consumption per yearkWh/yearEDC Data GatheringDefault = See REF _Ref465261161 \h \* MERGEFORMAT Table 21021kWhEStar, ENERGY STAR kWh consumption per yearkWh/yearEDC Data GatheringDefault = See REF _Ref465261161 \h \* MERGEFORMAT Table 21021HOURS, Average hours of use per yearHours/yearEDC Data GatheringDefault = 5,8401CF, Summer Peak Coincidence Factor NoneEDC Data GatheringDefault = 0.671, 2Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 99102: TV power consumption: Energy Savings Calculation Default ValuesDiagonal Screen Size (inches)Baseline Active Power Consumption [Wbase,active]ENERGY STAR V. 7.0 Active Power Consumption [Wee,active]ENERGY STAR Most Efficient Power Consumption [Wee,active]< 2016151420 < 3030221930 < 4050322740 < 5072443650 < 60925747≥ 60996352Deemed SavingsDeemed annual energy savings for ENERGY STAR 7.0 and ENERGY STAR Most Efficient TVs are given in REF _Ref275251571 \h Table 2100. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 100: Deemed energy savings for ENERGY STAR Version 7.0 and ENERGY STAR Most Efficient TVs.Diagonal Screen Size (inches)Energy SavingsENERGY STAR V. 7.0 TVs (kWh/year)Energy Savings ENERGY STAR Most Efficient TVs (kWh/yr)< 201320 < 30152030 < 40344340 < 50526650 < 606382≥ 606585Coincident demand savings are given in REF _Ref405366181 \h Table 2101.Clean Air Delivery Rate (CADR) (ft3/min)CADR Used in CalculationBaseline Unit Energy Consumption (kWh/yr)ENERGY STAR Unit Energy Consumption (kWh/yr)?kWhCADR 51-10075441148293CADR 101-150125733245488CADR 151-2001751,025342683CADR 201-2502251,317440877CADR Over 2502751,6095371,072Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 101103: Deemed coincident demand savings for ENERGY STAR Version 7.0 and ENERGY STAR Most Efficient TVs: Demand Savings Calculation Default ValuesClean Air Delivery Rate (CADR) (ft3/min)CADR Used in CalculationΔkWpeakCADR 51-100750.0336CADR 101-1501250.0560CADR 151-2001750.0784CADR 201-2502250.1006CADR Over 2502750.1230Evaluation 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.SourcesDiagonal Screen Size (inches)Coincident Demand Savings ENERGY STAR V. 7.0 (kW)Coincident Demand Savings ENERGY STAR Most Efficient (kW)< 200.000050.000320 < 300.00140.001930 < 400.00310.004040 < 500.00490.006250 < 600.00590.0076≥ 600.00600.0079Evaluation 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.SourcesCalculations assume TV is in on mode (or turned on) for 5 hours per day and sleep/standby mode for 19 hours per day. Based on assumptions from ENERGY STAR Calculator, ’EPA Research on Available Models, 2012, accessed June 2013, HYPERLINK "" HYPERLINK "" on ENERGY STAR Version 5.3 requirements, from ENERGY STAR Program Requirements for Televisions, Partner Commitments, accessed November 2013, HYPERLINK "" on ENERGY STAR Version 6.0 requirements, from ENERGY STAR Program Requirements for Televisions, Partner Commitments, accessed November 2013, HYPERLINK "" Value for Efficient Televisions in Efficiency Vermont TRM, 2013. The Efficiency Vermont Peak definition is June-August, 1-5PM non-holiday weekdays, close to the PJM peak definition.ENERGY STAR, ENERGY STAR Appliance Calculator, last updated October 2016. HYPERLINK "" appliance use is equally likely at any hour of the day or night.Consumer ElectronicsENERGY STAR Office EquipmentMeasure NameENERGY STAR Office EquipmentTarget SectorResidential EstablishmentsMeasure UnitOffice Equipment DeviceUnit Energy Savings REF _Ref395186257 \h \* MERGEFORMAT Table 2103Unit Peak Demand Reduction REF _Ref395186257 \h \* MERGEFORMAT Table 2103Measure LifeLifeSource 1Computer: 4 yearsMonitor: 4 yearsFax: 4 yearsPrinter: 5 yearsCopier: 6 yearsMultifunction Device: 6 yearsVintageReplace on BurnoutEligibility This protocol estimates savings for installing ENERGY STAR office equipment compared to standard efficiency equipment in residential applications. The measurement of energy and demand savings is based on a deemed savings value multiplied by the quantity of the measure. The target sector is primarily residential.AlgorithmsAlgorithmsThe general form of the equation for the ENERGY STAR Office Equipment measure annual savings is:Total Savings=Number of Units× Savings per UnitTo determine resource savings, the per-unit estimates 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 ComputerkWh/yr= ESavCOMkWpeak= DSavCOMENERGY STAR Fax MachinekWh/yr= ESavFAXkWpeak= DSavFAXENERGY STAR CopierkWh/yr= ESavCOPkWpeak= DSavCOPENERGY STAR PrinterkWh/yr= ESavPRIkWpeak= DSavPRIENERGY STAR Multifunction DevicekWh/yr= ESavMULkWpeak= DSavMULENERGY STAR MonitorkWh/yr= ESavMONkWpeak= DSavMONDefinition of TermsDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 102104:: Terms, Values, and References for ENERGY STAR Office Equipment - ReferencesComponentUnitValueSourcesESavCOM , Electricity savings per purchased ENERGY STAR computer.ESavFAX , 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 MonitorkWh/yrSee REF _Ref395186257 \h \* MERGEFORMAT Table 21031DSavCOM , Summer demand savings per purchased ENERGY STAR computer.DSavFAX , 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 , MonitorkW/yrSee REF _Ref395186257 \h \* MERGEFORMAT Table 21032TermUnitValueSourcesESavCOM , Electricity savings per purchased ENERGY STAR computer.ESavFAX , 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 DeviceESavMON , Electricity savings per purchased ENERGY STAR MonitorkWh/yrSee REF _Ref532482968 \h Table 21051DSavCOM , Summer demand savings per purchased ENERGY STAR computer.DSavFAX , 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 DeviceDSavMON , MonitorkW/yrSee REF _Ref532482968 \h Table 21051Default SavingsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 103105: ENERGY STAR Office Equipment Energy and Demand Savings ValuesMeasureEnergy Savings (ESav)Summer Peak Demand Savings (DSav)SourceComputer (Desktop)119 kWh/yr0.0161 kW1Computer (Laptop)22 kWh/yr0.0030 kW1Fax Machine (laser)16 kWh/yr0.0022 kW1Copier (monochrome)1 images/min ≤ 537 kWh/yr0.0050 kW 5 < images/min ≤ 1526 kWh/yr0.0035 kW 15 < images/min ≤ 209 kWh/yr0.0012 kW 20 < images/min ≤ 3042 kWh/yr0.0057 kW 30 < images/min ≤ 4050 kWh/yr0.0068 kW 40 < images/min ≤ 65186 kWh/yr0.0251 kW 65 < images/min ≤ 82372 kWh/yr0.0502 kW 82 < images/min ≤ 90469 kWh/yr0.0633 kW images/min > 90686 kWh/yr0.0926 kWPrinter (laser, monochrome)1 images/min ≤ 537 kWh/yr0.0050 kW 5 < images/min ≤ 1526 kWh/yr0.0035 kW 15 < images/min ≤ 2023 kWh/yr0.0031 kW 20 < images/min ≤ 3042 kWh/yr0.0057 kW 30 < images/min ≤ 4050 kWh/yr0.0068 kW 40 < images/min ≤ 65181 kWh/yr0.0244 kW 65 < images/min ≤ 82372 kWh/yr0.0502 kW 82 < images/min ≤ 90542 kWh/yr0.0732 kW images/min > 90686 kWh/yr0.0926 kWPrinter (Ink Jet)6 kWh/yr0.0008 kW1Multifunction (laser, monochrome)1 s ≤ 557 kWh/yr0.0077 kW 5 < s ≤ 1048 kWh/yr0.0065 kW 10 < s ≤ 2652 kWh/yr0.0070 kW 26 < s ≤ 3093 kWh/yr0.0126 kW 30 < s ≤ 50248 kWh/yr0.0335 kW 50 < s ≤ 68420 kWh/yr0.0567 kW 68 < s ≤ 80597 kWh/yr0.0806 kW s > 80764 kWh/yr0.1031 kWMultifunction (Ink Jet)6 kWh/yr0.0008 kW1Monitor24 kWh/yr0.0032 kW1MeasureEnergy Savings(ESav, kWh)Demand Savings (DSav, kW)SourceComputer (Desktop)1190.01611Computer (Laptop)220.00301Fax Machine (laser)160.00221Copier (monochrome)≤ 5images/min370.005015 < images/min ≤ 15260.003515 < images/min ≤ 20100.001120 < images/min ≤ 30420.005730 < images/min ≤ 40500.006840 < images/min ≤ 651810.024465 < images/min ≤ 823720.050282 < images/min ≤ 904690.0633> 90 images/min6860.0926Printer (laser, monochrome)≤ 5 images/min370.005015 < images/min ≤ 15260.003515 < images/min ≤ 20240.003120 < images/min ≤ 30420.005730 < images/min ≤ 40500.006840 < images/min ≤ 651810.024465 < images/min ≤ 823720.050282 < images/min ≤ 905420.0732> 90 images/min6860.0926Printer (Ink Jet)60.00081Multifunction Device (laser, monochrome)≤ 5 images/min570.007715 < images/min ≤ 10480.006510 < images/min ≤ 26520.007026 < images/min ≤ 30930.012630 < images/min ≤ 502480.033550 < images/min ≤ 684200.056768 < images/min ≤ 805970.0806> 80 images/min7640.1031Multifunction Device (Ink Jet)60.00081Monitor240.00321Evaluation 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 ENERGY STAR Office Equipment Calculator HYPERLINK "" (Referenced latest version released in December 2014October 2016). Default values were used. 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. 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.Smart Strip Plug OutletsAdvanced Power Strips Measure NameSmart Strip Plug OutletsTarget Sector Residential Establishments Measure Unit Per SmartAdvanced Power Strip Unit Energy SavingsTier 1:48.9 kWh (5-plug, unspecified use or multiple purchased)58.7 kWh (7-plug, unspecified use or multiple purchased)62.1 kWh (5-plug, Entertainment Center)74.5 kWh (7-plug, Entertainment Center)Tier 2:204.18 kWh (unspecified use or multiple purchased)307.42 kWh (Entertainment Center)Unit Peak Demand ReductionTier 1:0.0056 kW (5-plug, unspecified use or multiple purchased)0.0067 kW (7-plug, unspecified use or multiple purchased)0.0077 kW (5-plug, Entertainment Center)0.0092 kW (7-plug, Entertainment Center)Tier 2:0.0194 (unspecified use or multiple purchased)0.0316 kW (Entertainment Center)Measure Life 5 yearsyearsSource 4Vintage RetrofitSmart Advanced Power Strips (APS) are power stripssurge protectors that contain a number of power-saver sockets. There are two types of smart power stripsAPS: Tier 1 and Tier 2.Tier 1 smart stripsAPS have a master control socket arrangement and will shut 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 smart stripsAPS deliver additional functionality beyond that of a Tier 1 unit, as Tier 2 units manage both standby and active power consumption. The Tier 2 smart stripsAPS manage standby power consumption by turning off devices from a control event; this could be a TV or other item powering off, which then powers off the controlled outlets to save energy. Active power consumption is managed by the Tier 2 unit by monitoring a user’s engagement or presence in a room by either or both infrared remote signals sensing or motion sensing. 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. There are two types of Tier 2 APS available on the market. Tier 2 Infrared (IR) detect signals sent by remote controls to identify activity, while Tier 2 Infrared-Occupancy Sensing (IR-OS) use remote signals as well as an occupancy sensing component to detect activity and sense for times to shut down. Due to uncertainty surrounding the differences in savings for each technology, the Tier 2 savings are blended into a single number. EligibilityEligibilityThis protocol documents the energy savings attributed to the installation of Advanced Power Strips. The most likely area of application is in residential spaces, i.e. single-family and multifamily homes. smart strip plugs. The most likely area of application is in residential spaces, i.e. single-family and multifamily homes. However, commercial applications are also appropriate for smart Advanced Power Strips (see Volume 3, Section REF _Ref423022101 \r \h 3.9.3 Smart3.9.3 Advanced Power Strip Plug Outlets). HYPERLINK "" . The protocol considers usage of smartAdvanced Power Strips with home office systems and home entertainment systems.AlgorithmsThe saving algorithm for Tier 1 smart strips uses the number of plugs on each strip as a factor in the calculations. It is expected that approximately three to five items will be plugged into each 5-plug power strip, and that five to six items will be plugged into a 7-plug power strip. The saving algorithm for Tier 2 smart strips uses an average entertainment center or home office energy consumption, as documented in secondary data sources, and a field-trial-tested estimated saving factor as the basis for the saving calculations.AlgorithmsThe energy savings and demand reduction for Tier 1 smart strip plugand Tier 2 APS outlets are obtained using standard standby or low power wattages for typical entertainment center and home office components. The energy from several recently conducted field studies, with the savings and demand reduction for Tier 2 smart strip plug outlets are obtained using the average household entertainment center and home office component usages multiplied by an energyestimates applied to measured in-service rates (ISR) and realization rates (RR) to determine final savings factor. .The energy savings and demand reduction are calculated for both home office and home entertainment use for Tier 1 strips, and only for home entertainment use for Tier 2 strips. For Tier 1 strips, if the intended use of the power strip is not specified, or if multiple power strips are purchased, the algorithm for “unspecified use” should be applied. If it is known that the power strip is intended to be used for an entertainment center, the “entertainment center” algorithm should be applied.Tier 1 Smart Strip:kWh/yr unspecified use = (kWcomp idle × HOUcomp idle)+(kWTVidle × HOUTV idle)2× 365daysyr× ISR = 48.9 kWh (5-plug); 58.7 kWh (7-plug)kWh/yr entertainment center = kWTV idle×HOU TV idle× 365daysyr× ISR = 62.1 kWh (5-plug); 74.5 kWh (7-plug)kWpeak unspecified use = CF × (kWcomp idle + kWTV idle)2× ISR =0.0056 kW (5-plug); 0.0067 kW (7-plug)kWpeak entertainment center = CF × kWTV idle × ISR =0.0077 kW (5-plug); 0.0092 kW (7-plug), while the “home office” algorithm should be applied if it is being used in a home office setting. For Tier 2 Smart Strip:kWh entertainment center= kWhTV ×ESF×ISR = 307.42 kWhkWh unspecified use= (kWhcomp + kWhTV )2×ESF×ISR = 204.18 kWhkWpeak entertainment center= CF× ?kWh entertainment center8760 hoursyr×ISR = 0.0316 kWkWpeak unspecified use= CF× (?kWh comp + ?kWh entertainment center)2 × 8760 hoursyr×ISR =0.0194 kWDefinition of TermsThe parameters instrips, the above equation are listed in REF _Ref413855028 \h Table 2102..Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 104: Smart Strip Plug Outlet Calculation AssumptionsParameterUnitValueSourcekWcomp idle , Idle kW of computer systemkW0.0049 (5-plug)0.00588 (7-plug)1,2,4HOUcomp idle , Daily hours of Computer idle timehoursday201kWTV idle , Idle kW of TV systemkW0.0085 (5-plug)0.0102 (7-plug)1,4HOUTV idle , Daily hours of TV idle timehoursday201kWhTV , Annual kWh of TV systemkWhEDC Data GatheringDefault= 602.84kWhCpmp , Annual kWh of computer systemkWhEDC Data GatheringDefault= 197.94ISR , In-Service RateFractionEDC Data GatheringDefault = 1.0CF , Coincidence FactorFractionEntertainment Center= 0.90Computer System= 0.763Unspecified Use= 0.8323ESF, Energy Savings Factor. Percent of baseline energy consumption saved by installing the measureFractionEntertainment Center: 0.515Deemed SavingsThe defaultend use is assumed to be a home entertainment center and the savings calculatedvary based on the parameters identified above are provided in REF _Ref405386699 \h \* MERGEFORMAT Table 2105.type of Tier 2 strip, IR, IR-OS, or unspecified.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 105: Tier 1 Default Savings for Smart Strip Plug OutletsEnergy Savings (kWh)Peak Demand Reduction (kW)UsageTier 1 Smart Strip48.9 (5-plug)0.0056Unspecified use or multiple purchased58.7 (7-plug)0.0067Unspecified use or multiple purchased62.1 (5-plug)0.0077Entertainment Center74.5 (7-plug)0.0092Entertainment CenterTier 2 Smart Strip307.420.0316Entertainment Center204.180.0194Unspecified use or multiple purchasedEvaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.Sources“Electricity Savings Opportunities for Home Electronics and Other Plug-In Devices in Minnesota Homes”, Energy Center of Wisconsin, May 2010. “Smart Plug Strips”, ECOS, July 2009.CF Values of Standby Losses for Entertainment Center and Home Office in Efficiency Vermont TRM, 2013, pg 16. Developed through negotiations between Efficiency Vermont and the Vermont Department of Public Service.“Advanced Power Strip Research Report”, NYSERDA, August 2011.:ΔkWht1_unspecified= Annual_Usageunspecified x ERPt1_unspecified × ISR x RRΔkWh t1_entertainment= Annual_Usageentertainment x ERPt1_entertainment × ISR x RRΔkWh t1_office= Annual_Usageoffice x ERPt1_office × ISR x RRΔkWpeak, t1_unspecified= Loadunspecified x ERPpeak, t1_unspecified x ISRΔkWpeak, t1_entertainment= Loadentertainment x ERPpeak, t1_entertainment x ISRΔkWpeak, t1_home office= Loadoffice x ERPpeak, t1_office x ISRTier 2 Advanced Power Strips:ΔkWht2= Annual_Usageentertainment x ERP t2 × ISR x RRΔkWpeak, t2= Loadentertainment x ERPpeak, t2 x ISRDefinition of Terms“Tier 2 Advanced Power Strip Evaluation for Energy Saving Incentive,” California Plug Load Research Center, 2014. HYPERLINK "" ShellCeiling / Attic and Wall Insulation Measure NameCeiling/Attic and Wall InsulationTarget SectorResidential EstablishmentsMeasure UnitInsulation AdditionUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life15 yearsVintageRetrofitEligibilityThis measure applies to installation/retrofit of new or additional insulation in a ceiling/attic, or walls of existing residential homes or apartment units in multifamily complexes with a primary electric heating and/or cooling source. The installation must achieve a finished ceiling/attic insulation rating of R-38 or higher, and/or must add wall insulation of at least an R-6 or greater rating.The baseline for this measure is an existing residential home with a ceiling/attic insulation R-value less than or equal to R-30, and wall insulation R-value less than or equal to R-11, with an electric primary heating source and/or cooling source.AlgorithmsThe savings values are based on Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 106: Terms, Values, and References for Advanced Power StripsParameter Unit Value Source Annual_Usageentertainment, Annual usage of home entertainment systemkWh4711Annual_Usageoffice, Annual usage of home office systemkWh3991Annual_Usageunspecified, Annual usage of unspecified end-usekWh4491Loadentertainment, Demand of home enertainment systemkW0.0583Loadoffice, Demand of home office systemkW0.0443Loadunspecified, Demand of unspecified end-usekW0.0523ERP, energy reduction percentage%See REF _Ref529976133 \h \* MERGEFORMAT Table 21071ERPpeak, energy reduction percentage during peak period%See REF _Ref529976133 \h \* MERGEFORMAT Table 21071ISR, In-service Rate%EDC Data Collection or see REF _Ref529976133 \h \* MERGEFORMAT Table 2107 2RR, Realization Rate kWh0.922The following algorithms.Cooling savings with central A/C:ΔkWh/yrCAC =CDD × 24hrday × DUASEERCAC × 1000WkW × AHF × Aroof 1Rroof,bl -1Rroof,ee +Awall1Rwall,bl -1Rwall,ee?kWpeak-CAC = ?kWhCACEFLHcool × CFCACCooling savings with room A/C:ΔkWh/yrRAC =CDD × 24hrday × DUA × FRoom ACEERRAC × 1000WkW × AHF×Aroof 1Rroof,bl -1Rroof,ee +Awall1Rwall,bl -1Rwall,ee?kWpeak-RAC = ?kWhRACEFLHcool RAC × CFRACCooling savings with electric air-to-air heat pump:ΔkWh/yrASHP cool =CDD × 24hrday × DUASEERASHP × 1000WkW × AHF×Aroof 1Rroof,b l -1Rroof,ee +Awall1Rwall,bl -1Rwall,ee ΔkWpeak-ASHP cool = ΔkWhASHP coolEFLHcool × CFASHPCooling savings with electric ground source heat pump:ΔkWh/yrGSHP cool =CDD×24hrday×DUAEERGSHP×GSHPDF×GSER×1000WkW×AHF×Aroof 1Rroof,bl-1Rroof,ee+Awall1Rwall,bl-1Rwall,eeΔkWpeak-GSHP cool = ΔkWhGSHP coolEFLHcool×CFGSHPHeating savings with electric ground source heat pump:ΔkWh/yrGSHP heat =HDD×24hrdayCOPGSHP×GSHPDF×GSOP×1000WkW×Aroof 1Rroof,bl-1Rroof,ee+Awall1Rwall,bl-1Rwall,eeΔkWpeak-GSHP heat = 0Heating savings with electric air-to-air heat pump:ΔkWh/yrASHP heat =HDD × 24hrdayHSPFASHP × 1000WkW × Aroof 1Rroof,bl-1Rroof,ee +Awall1Rwall,bl-1Rwall,eeΔkWpeak-ASHP heat = 0Heating savings with electric baseboard or electric furnace heat (assumes 100% efficiency):ΔkWh/yrelec heat =HDD × 24hrday3412BtukWh × Aroof 1Rroof,bl -1Rroof,ee +Awall1Rwall,bl-1Rwall,ee ?kWpeak-elec heat = 0Definition of TermsThe default valuestable shows the Energy Reduction Percentage (ERP) and In-Service Rate (ISR) for each term are shown in REF _Ref373317861 \h Table 2106. The default values for heating and cooling days and hours are given in REF _Ref364173236 \h Table 2106.strip type and end use.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 107: Impact Factors for Advanced Power Strip TypesStrip TypeEnd-UseERPERPpeakISRTier 1Home Entertainment Center27%20%86%Tier 1Home Office21%18%86%Tier 1Unspecified25%19%86%Tier 2Home Entertainment Center44%41%74%Default Savings Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 106108: Default valuesSavings for algorithm terms, Ceiling/Attic and Wall InsulationAdvanced Power StripsAPS TypeEnd UseEnergy Savings (kWh)Peak Demand Reduction (kW)Tier 1Home Entertainment Center100.60.010Tier 1Home Office66.30.007Tier 1Unspecified use or multiple purchased88.80.009Tier 2Home Entertainment Center141.10.018Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings.Sources“RLPNC 17-3: Advanced Power Strip Metering Study,” Massachusetts Programs Administrators and EEAC, (Mar. 2019), HYPERLINK "" “RLPNC 17-4 and 17-5: Products Impact Evaluation of In-service and Short-Term Retention Rates Study,” Massachusetts Programs Administrators and EEAC, (Oct. 2018), HYPERLINK "" reported in correspondence with authors of Source 1 and Source 2.California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.?Building ShellResidential Air SealingTarget SectorResidential Establishments, limited to single family detached housesMeasure UnitResidential Air SealingMeasure Life15 years Source 5VintageRetrofitThermal shell air leaks are sealed through strategic use and installation of air-tight materials. Leaks are detected and leakage rates measured with the assistance of a blower-door test. This measure applies to the sealing of thermal shell air leaks in existing residential homes with a primary electric heating and/or cooling source.EligibilityThe baseline for this measure is the existing air leakage as determined through approved and appropriate test methods using a blower door. The baseline condition of a building upon first inspection significantly impacts the opportunity for cost-effective energy savings through air-sealing.Air sealing materials and diagnostic testing should meet all qualification criteria for program eligibility. The initial and final tested leakage rates should be performed in such a manner that the identified reductions can be properly discerned, particularly in situations where multiple building envelope measures may be implemented simultaneously.For example, if air sealing, duct sealing and insulation are all installed as a whole home retrofit, efforts should be made to isolate the CFM reductions from each measure individually. This may require performance of a blower door test between each measure installation. Alternatively, the baseline blower door test may be performed after the duct sealing is completed, then air sealing measures installed and the retrofit blower door test completed prior to installation of the new insulation.This measure is applicable to single family detached (including manufactured and mobile homes) houses only.AlgorithmsTo calculate kWh add together the cooling and heating savings calculated using the appropriate coefficients from REF _Ref534357985 \h Table 2111 and REF _Ref410995149 \h Table 2112 for the matching equipment type and climate region in the algorithm below. For example, if a residence has gas heat with Central AC, there is no heating component to the savings calculations. If a residence has Electric Resistance heating and no AC, calculate the savings for “Baseboard” heating. Ductless installations such as baseboards and mini-split heat pumps should substitute 100% for DuctprotoDuctbase. Values for Ductbase may be generated through measurement or by selecting an appropriate value from REF _Ref531072530 \h Table 231 in Sec. REF _Ref12380838 \w \h 2.2.9.?kWhcool= ηprotoηbase×DuctprotoDuctbase×acool100,000 ×CFM50base2-CFM50ee2+bcool×CFM50base-CFM50ee?kWhheat= ηprotoηbase×DuctprotoDuctbase×aheat100,000 ×CFM50base2-CFM50ee2+ bheat ×CFM50base-CFM50ee?kWh= ?kWhcool+ ?kWhheat?kWpeak=?kWhcool÷EFLHcool×CFNote: The savings equations above are based on quadratic regressions because cooling savings fall off quickly with changes in infiltration in heating dominated climates, whereas some heating technologies exhibit escalating savings as in the example plot below. This results in small coefficients for the squared term, which are therefore multiplied by 105 to simplify REF _Ref534357985 \h Table 2111 and REF _Ref410995149 \h Table 2112.Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 5: Example Regressions for Ductless Mini-splits in Climate Region ADefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 109: Terms, Values, and References for Residential Air SealingTermUnitValuesSourceCFM50base , Baseline infiltration at 50 PaCFM50Measured, EDC Data GatheringEDC Data GatheringCFM50ee , Infiltration at 50 Pa post air sealingCFM50Measured, EDC Data GatheringEDC Data GatheringDuctbase , Baseline duct efficiencyNoneEDC Data Gathering: measured value, or appropriate value selected from REF _Ref531072530 \h Table 231 in Sec. REF _Ref12380838 \w \h 2.2.9EDC Data GatheringDuctproto , Prototype duct efficiencyNoneDefault: See REF _Ref531072530 \h Table 231 in Sec. REF _Ref12380838 \w \h 2.2.9 for “R-2 Average Basement + 50% Conditioned”1ηbase , Baseline equipment efficiencyvariesMeasured, EDC Data GatheringDefault: ηprotoEDC Data Gatheringηproto , Prototype equipment efficiencyvariesSee REF _Ref532304605 \h \* MERGEFORMAT Table 21102a system , Unit Energy Savings per CFM502 of air leakage reductionkWhyrCFM502See REF _Ref532305512 \h \* MERGEFORMAT Table 21113b system , Unit Energy Savings per CFM50 of air leakage reductionkWhyrCFM50See REF _Ref410995149 \h \* MERGEFORMAT Table 21123EFLHcool , Equivalent Full Load Cooling hourshoursyearSee EFLHcool in Vol.1, App. A4CF, Demand Coincidence FactorProportionSee CF in Vol.1, App. A4Default Unit Energy Savings Coefficient & Equipment Efficiency TablesSavings may be claimed using the algorithms above and the algorithm’s input default values below, in conjunction with customer-specific blower door test data. Site specific data from blower door testing is required to be used in conjunction with these default energy savings values, as outlined in the algorithms.TermUnitValueSourceAroof , Area of the ceiling/attic with upgraded insulationft2VariesEDC Data GatheringAwall , Area of the wall with upgraded insulationft2VariesEDC Data GatheringDUA , Discretionary Use Adjustment to account for the fact that people do not always operate their air conditioning system when the outside temperature is greater than 65F.None0.751AHF , Attic Heating Factor increases cooling load to home due to attic temperatures being warmer than ambient outdoor air temperature on sunny days.None1.0562, 3Rroof,bl , Assembly R-value of ceiling/attic before retrofit°F?ft2?hrBtu5Un-insulated attic164.5” (R-13) of existing attic insulation226” (R-19) of existing attic insulation3010” (R-30) of existing attic insulationExisting Assembly R-valueEDC Data GatheringRroof,ee , Assembly R-value of ceiling/attic after retrofit°F?ft2?hrBtu38Retrofit to R-38 total attic insulation49Retrofit to R-49 total attic insulationRetrofit Assembly R-valueEDC Data GatheringRwall,bl , Assembly R-value of wall before retrofit°F?ft2?hrBtuDefault = 5.015 Assumes existing, un-insulated wall with 2x4 studs @ 16” o.c., w/ wood/vinyl sidingExisting Assembly R-valueEDC Data GatheringRwall,ee , Assembly R-value of wall after retrofit°F?ft2?hrBtuDefault = 11.0Assumes adding R-6 per DOE recommendationsRetrofit Assembly R-valueEDC Data GatheringSEERCAC , Seasonal Energy Efficiency Ratio of existing home central air conditionerBtuW?hrDefault for equipment installed before 1/23/2006 = 10Default for equipment installed after 1/23/2006 = 134NameplateEDC Data GatheringEERRAC , Average Energy Efficiency Ratio of existing room air conditionerBtuW?hrDefault = 9.8DOE Federal Test Procedure 10 CFR 430, Appendix F (Used in ES Calculator for baseline)NameplateEDC Data GatheringSEERASHP , Seasonal Energy Efficiency Ratio of existing home air source heat pumpBtuW?hrDefault for equipment installed before 1/23/2006 = 10Default for equipment installed after 1/23/2006 = 13Default for equipment installed after 6/1/2015 = 144NameplateEDC Data GatheringHSPFASHP , Heating Seasonal Performance Factor for existing home heat pumpBtuW?hrDefault for equipment installed before 1/23/2006 = 6.8Default for equipment installed after 1/23/2006 = 7.7Default for equipment installed after 6/1/2015 = 8.244NameplateEDC Data GatheringEERGSHP , Energy Efficiency Ratio of existing home ground source heat pumpBtuW?hrDefault for Ground Source Heat Pump = 13.4Default for Groundwater Source Heat Pump = 16.25NameplateEDC GatheringGSER , Factor to determine the SEER of a GSHP based on its EERNone1.026COPGSHP , Coefficient of Performance for existing home ground source heat pumpNoneDefault for Ground Source Heat Pump = 3.1Default for Groundwater Source Heat Pump = 3.65NameplateEDC GatheringGSOP , Factor to determine the HSPF of a GSHP based on its COPBtuW?hr3.4127GSHPDF , Ground Source Heat Pump De-rate FactorNone0.885(Engineering Estimate - See REF _Ref395171402 \r \h \* MERGEFORMAT 2.2.1)CFCAC , Demand Coincidence Factor for central AC systemsFraction0.6478CFRAC , Demand Coincidence Factor for Room AC systemsFraction0.6479CFASHP , Demand Coincidence Factor for ASHP systemsFraction0.6478CFGSHP , Demand Coincidence Factor for GSHP systemsFraction0.6478FRoom,AC , Adjustment factor to relate insulated area to area served by Room AC unitsNone0.38CalculatedCDD , Cooling Degree Days°F ?Days REF _Ref373929803 \h \* MERGEFORMAT Table 210710HDD , Heating Degree Days°F ?Days REF _Ref373929803 \h \* MERGEFORMAT Table 210710EFLHcool , Equivalent Full Load Cooling hours for Room AC hoursyear REF _Ref373929803 \h \* MERGEFORMAT Table 210711EFLHcool RAC, Equivalent Full Load Cooling hours for Central AC and ASHPhoursyear REF _Ref373929803 \h \* MERGEFORMAT Table 210712Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 110: Default Residential Equipment EfficiencyCoolingHeatingASHPCentral ACMini-splitGSHPASHPBase-boardElectric FurnaceMini-splitGSHPEfficiency1512.114.916.68.5118.93.6UnitsSEERSEERSEEREERHSPFCOPCOPHSPFCOPTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 107111: EFLH, CDD and HDD by City: Default Unit Energy Savings per Reduced CFM502 for Air SealingCityEFLHcool(Hours)EFLHcool RAC(Hours)CDD (Base 65)HDD (Base 65)Allentown4872437875830Erie3891496206243Harrisburg5512889555201Philadelphia59132012354759Pittsburgh4322287265829Scranton4171936116234Williamsport4222047096063Alternate EFLH values from REF _Ref364157537 \h Table 213 and REF _Ref364157543 \h Table 214 in Section REF _Ref395185383 \r \h 2.1 may also be used for central air conditioners and air source heat pumps. The tables show cooling EFLH and heating EFLH, respectively, by city and for each EDC’s housing demographics. EFLH values are only shown for cities that are close to customers in each EDC’s service territory. In order to determine the most appropriate EFLH value to use for a project, first select the appropriate EDC, then, from that column, pick the closest city to the project location. The value shown in that cell will be the EFLH value to use for the project.Attic Heating Effect on Cooling LoadsOn sunny days, attic temperatures can be 20%-35% higher than ambient outdoor air temperatures during the 7 hours between 9 AM and 4 PM and 6%-8% higher for the 4 hours from 7 AM to 9 AM and 4 PM to 6 PM.13 The remaining 13 hours of the day there was no significant difference seen between attic temperature and outdoor air temperature; this results in an average hourly temperature difference between the attic and outdoor air of approximately +9% over the course of a 24 hour period, but only on sunny days. According to NOAA climatic data for Pennsylvania cities (Allentown, Erie, Harrisburg, Philadelphia, and Pittsburgh) for June through August, it is sunny or partly cloudy an average of 62% of the days.14 It is assumed that there is an attic heating effect on both sunny and partly cloudy days, but not on cloudy days; therefore, an appropriate attic heating factor would be 1.056 based on the fact that the average hourly difference between attic temperature and outdoor air temperature is approximately +5.6% (9% x 62%). Evaluation ProtocolsClimate RegionReference CityacoolaheatASHPCentral ACMini-splitGSHPASHPBase-boardElectric FurnaceMini-splitGSHPCAllentown-0.042-0.0760.090.0235.0641.1663.4850.9440.413ABinghamton0.0280.0180.0870.0463.3351.2714.6530.9860.293GBradford0.0430.020.0670.060.1121.5154.5451.1730.283IErie0.0220.0040.0580.0275.671.3184.3091.0660.367EHarrisburg-0.079-0.1250.126-0.0664.4881.2423.4880.8860.112DPhiladelphia-0.08-0.1210.0960.0023.0781.0042.2080.7920.286HPittsburgh-0.014-0.0530.0750.0794.6571.1852.7780.930.497BScranton0.004-0.0290.0860.0584.8451.214.0730.9580.411FWilliamsport-0.037-0.0320.1040.0525.1751.1813.4770.9250.392Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 112: Default Unit Energy Savings per Reduced CFM50 for Air SealingClimate RegionReference CitybcoolbheatASHPCentral ACMini-splitGSHPASHPBase-boardMini-splitElectric FurnaceGSHPCAllentown0.0250.0330.0040.0070.9511.9660.8642.1380.616ABinghamton-0.0010.001-0.002-0.0071.9482.3931.4482.5990.788GBradford-0.007-0.005-0.007-0.0112.7032.8032.0013.0320.951IErie0.0040.001-0.003-0.0041.2792.2381.0982.4230.726EHarrisburg0.0550.0660.0250.0331.0922.1941.0322.3780.709DPhiladelphia0.050.0610.0170.0230.5891.6040.5731.7520.498HPittsburgh0.0190.0260.005-0.0021.0511.9580.992.1250.612BScranton0.0090.013-0.002-0.0041.252.0561.0042.240.659FWilliamsport0.020.0230.001-0.0011.0481.9810.9322.1580.627Evaluation ProtocolsThe appropriate evaluation protocol for this measure is desk audit verification that the pre and post blower door tests were performed in accordance with industry standards. Verification through desk audits require confirmation of the proper application of the TRM protocol using default unit energy and demand savings values in coordination with blower door test results. Field verification of each test or re-test is not required.SourcesPennsylvania Act 129 2018 Residential Baseline, HYPERLINK "" efficiencies were chosen based on weighted single-family detached results from the 2017 Pennsylvania Residental Baseline, standardized equipment library entries (ASHP), and expertise (GSHP).Based on modelling using BEopt v2.8.0 performed by NMR Group, Inc. Unit energy savings were calculated by modeling a prototypical Pennsylvania single family detached house with statewide average characteristics determined through the Pennsylvania Act 129 2018 Residential Baseline. Simulations for each equipment-climate region combination were performed at multiple levels of air leakage (1, 2, 3, 4, 5, 6, 7, 8, 10, 15, 20, and 25 ACH50). The heating or cooling loads for each system combination were then fitted with separate quadratic regressions, the coefficients of which are the UES values. Supporting files can be found at HYPERLINK "" . Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service, HYPERLINK "" Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, GDS Associates, 2007Weather Stripping, Caulking, and Outlet GasketsTarget SectorResidential EstablishmentsMeasure UnitPer ProjectMeasure Life15 yearsVintageRetrofitResidential structures can lose significant amounts of heat through the infiltration of unconditioned outside air into the conditioned space. Infiltration enters conditioned spaces in a variety of ways: building joints, gaps in door and window frames, basement and attic penetrations (electrical and plumbing) and recessed light fixtures. Air sealing measures like adding weather stripping, caulking and installing outlet gaskets can reduce the amount of infiltration and the related heating and cooling for a building.EligibilityTo be eligible:Weather stripping must be installed on doors, windows, or attic hatches/doors.Caulking and/or spray foam sealant must be applied to window frames, door frames or plumbing/electrical penetrations.Gaskets must be installed on electrical outlets.In addition, this measure is limited to projects with less than 400 kWh of savings. Projects with 400 kWh or more of savings should follow the HYPERLINK \l "_Residential_Air_Sealing" REF _Ref534295556 \h Residential Air Sealing section. AlgorithmsThere are two approaches that can be utilized to estimate savings due to air sealing, one using algorithms requiring EDC data gathering, and a default savings method when data are unavailable. The annual energy and peak demand savings are obtained through the following formulas:kWhcool=1.08×CFM50×CDD×24hrday×ISRN×SEER×1,000WkW×LM×DUAkWhheat=1.08×CFM50×HDD×24hrday×ISRN×HSPF×1,000WkWkWh =kWhcool+kWhheat<400 kWhIf > 400 kWh use Sec. REF _Ref534295556 \r \h \* MERGEFORMAT 2.6.1?kWpeak=kWhcool×PCFGround Source Heat Pumps (GSHP)GSHP efficiencies are typically calculated differently than air-source units, baseline and qualifying unit efficiencies should be converted as follows should be converted as follows:SEER= EERg × GSHPDF × GSERHSPF=COPg × GSHPDF ×3.412BTUW?hPTAC and PTHPSEER = EERDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 113: Terms, Values, and References for Weather StrippingTermUnitValuesSource1.08, Conversion factor that converts CFM air (at 70°F) to BTU/hr-°FBTU×minhr×°F×ft31.08-CFM50, Reduction in air leakage at a test pressure of 50 Pascals CFMSee REF _Ref477438969 \h \* MERGEFORMAT Table 21161, 4CDD, Cooling degree-days°F-day/yearSee CDD values in Vol. 1, App. A10HDD, Heating degree-days°F-day/yearSee HDD values in Vol. 1, App. A10ISR, In-service rateNoneKit delivery: EDC Data GatheringDirect install = 1EDC Data GatheringLM, Latent multiplier to convert the calculated sensible load to the total (sensible and latent) loadNoneSee REF _Ref470605105 \h \* MERGEFORMAT Table 21155DUA, Discretionary use adjustment to account for uncertainty in predicting cooling system usage patterns of occupantsNone0.753N, Correlation factor. This factor accounts for four environmental characteristics that may influence infiltration, which include climate, building height, wind shielding and building leakinessNoneSee REF _Ref534294501 \h \* MERGEFORMAT Table 2114Default = 16.72SEER, Cooling system seasonal efficiencyBtuW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h 2.2.17HSPF, Heating system seasonal efficiencyBtuW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h 2.2.17EER , Energy Efficiency Ratio of a GSHP, this is measured differently than EER of an air source heat pump and must be convertedBTUW?hEDC Data Gathering-COP, Coefficient of Performance. This is a measure of the efficiency of a heat pumpNoneEDC Data Gathering-GSER , Factor used to determine the SEER of a GSHP based on its EERgBTUW?h1.028GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitProportion0.84168GSHPDF , Ground Source Heat Pump De-rate FactorProportion0.8859PCF, Peak demand savings conversion factorkW/kWh0.000017 (1.7×10-5)6Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 114: Correlation Factor Source 2Shielding/Stories11.523Well-shielded22.220.017.815.5Normal18.516.714.813.0Exposed16.715.013.311.7Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 115: Latent Multiplier Values by Climate Reference CityClimate RegionReference CityLMCAllentown9.0ABinghamton, NY6.75GBradford16.0IErie13.0EHarrisburg5.6DPhiladelphia7.8HPittsburgh7.3BScranton9.3FWilliamsport9.5Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 116: Typical Reductions in Leakage Source 1TechnologyApplicationΔCFM50 Source 4Weather StrippingSingle Door25.5 CFM/doorDouble Door0.73 CFM/ft2Casement Window0.036 CFM/lf of crackDouble Horizontal Slider, Wood0.473 CFM/lf of crackDouble-Hung 1.618 CFM/lf of crackDouble-Hung, with Storm Window 0.164 CFM/lf of crackAverage Weatherstripping0.639 CFM/lf of crackCaulkingPiping/Plumbing/Wiring Penetrations10.9 CFM eachWindow Framing, Masonry1.364 CFM/ft2Window Framing, Wood0.382 CFM/ft2Door Frame, Masonry1.018 CFM/ft2Door Frame, Wood0.364 CFM/ft2Average Window/Door Caulking0.689 CFM/lf of crackAverage Window/Door Caulking and Weather Stripping 0.664 CFM/lf of crackGasketElectrical Outlets6.491 CFM eachDefault SavingsIf the information needed to utilize the algorithms is unavailable, the default savings listed below may be used. The default savings are based on a home with a 12.1 SEER CAC and electric resistance heat (COP=1). The default savings assume direct install of measures. To use default savings for kit delivery measures, EDCs must determine an ISR multiplier through independent research.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 117: Default Annual Energy SavingsClimate RegionReference CityCooling Savings (kWh)Heating Savings (kWh)Caulked Penetrations (per pen.)Weather Stripping, Caulking and Sealing(per 10 lf)Outlet Gaskets(per gasket)Caulked Penetrations (per pen.)Weather Stripping, Caulking and Sealing(per 10 lf)Outlet Gaskets(per outlet)CAllentown7.3174.4574.35728.17817.16516.780ABinghamton, NY2.8751.7521.71234.99721.31920.841GBradford3.4332.0912.04440.93024.93324.374IErie7.9174.8234.71432.20719.61919.179EHarrisburg6.6034.0223.93230.46618.55918.143DPhiladelphia9.4265.7425.61323.97114.60214.275HPittsburgh5.6663.4523.37429.01417.67417.278BScranton5.9283.6113.53030.55618.61418.196FWilliamsport7.2844.4374.33828.58117.41117.020Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 118: Default Summer Peak Demand SavingsClimate RegionReference CityCaulked Penetrations (ΔkW/ pen.)Weather Stripping, Caulking and Sealing (ΔkW/10 lf)Outlet Gaskets(ΔkW/gasket)CAllentown0.00012440.00007580.0000741ABinghamton, NY0.00004890.00002980.0000291GBradford0.00005840.00003560.0000348IErie0.00013460.00008200.0000801EHarrisburg0.00011220.00006840.0000668DPhiladelphia0.00016020.00009760.0000954HPittsburgh0.00009630.00005870.0000574BScranton0.00010080.00006140.0000600FWilliamsport0.00012380.00007540.0000737Evaluation 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. For kit delivery, EDCs should estimate in-service rate through customer surveys.SourcesASHRAE, 2001 AHSRAE Handbook – Fundamentals, Table 1.ENERGY STAR Home Sealing Specification, Version 1.0. October 2001. HYPERLINK "" Center of Wisconsin, “Central Air Conditioning in Wisconsin, A Compilation of Recent Field Research,” May 2008. HYPERLINK "" ΔCFM50 is estimated by dividing the ELA by 0.055. See p. 83, The Energy Conservatory, Minneapolis Blower Door Operation Manual, HYPERLINK "" values calculated as total load (sensible + latent) divided by sensible load, from sensible and latent values in Harriman et al. "Dehumidification and Cooling Loads from Ventilation Air." ASHRAE Journal. November 1997. , Evaluation of the Weatherization Residential Assistance Partnership (WRAP) and Helps Programs, September 2010. HYPERLINK "" For all systems excluding ground source heat pumps: Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . Due to small sample size in residential baseline, the lowest efficiency options available in BEopt were chosen as defaults for ground source heat pumps.VEIC estimate. Extrapolation of manufacturer data.McQuay Application Guide 31-008, Geothermal Heat Pump Design Manual, 2002. Engineering Estimate - See System Performance of Ground Source Heat PumpsPA SWE Team Calculations with data from the National Solar Radiation Database. 1991–2005 Update: Typical Meteorological Year 3. NREL. HYPERLINK "" , Wall, Floor and Rim Joist InsulationTarget SectorResidential EstablishmentsMeasure UnitPer ProjectMeasure Life15 years Sources 1, 2VintageRetrofitThis protocol covers the calculation of energy and demand savings associated with insulating ceilings/attics, walls, floors above vented crawlspaces, and rim joists in residential buildings. EligibilityCeiling/Attic or Wall InsulationThis measure applies to installation/retrofit of new or additional insulation in a ceiling/attic, or walls of existing residential homes or apartment units in multifamily complexes with a primary electric heating and/or cooling source. The installation must achieve a finished ceiling/attic insulation rating of R-49 or higher, and/or must add wall insulation of at least an R-6 or greater rating.Source 12Floor InsulationThis measure requires the installation of new insulation to the floors of existing residential buildings with vented (unconditioned) crawlspaces and a primary electric heating and/or cooling source. The installation must achieve a finished floor insulation R-value of R-30 or higher, except for homes in IECC Climate Zone 4, where R-19 is permissable.Source 12Rim Joist InsulationThis measure protocol applies to the installation of insulation in the rim joists of residential homes. This includes the rim joists of unvented crawlspaces and the rim joists between the first and second floor of a residence. The insulation should have either a minimum R-10 continuous insulated sheathing on the interior or exterior of the home, or R-13 cavity insulation at the interior of the rim joist. Because of the difficulty of a proper air-sealed installation, using fiberglass batts between the joists is not usually recommended. The insulation should be sprayed foam or rigid foam.Source 3AlgorithmsThe annual energy and peak demand savings are obtained through the following formulas. Note that these equations are applied separately for each ceiling / attic, wall, floor, and rim joist component upgraded.kWhcool,component=1Rbase-1Ree×Acomponent×1-FF×24hrday×CDD×DUASEER×1,000WkW×FRAC ×AHFkWhheat,component=1Rbase-1Ree×Acomponent×1-FF×24hrday×HDDHSPF×1,000WkWkWh=componentskWhcool+kWhheat?kWpeak=?kWhcoolEFLHcool×CFGround Source Heat Pumps (GSHP)GSHP efficiencies are typically calculated differently than air-source units, baseline and qualifying unit efficiencies should be converted as follows should be converted as follows:SEER= EERg × GSHPDF × GSERHSPF=COPg × GSHPDF ×3.412BTUW?hPTAC and PTHPSEER = EERDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 119: Terms, Values, and References for Basement Wall InsulationTermUnitValuesSource?kWhcool, Annual cooling energy savingskWh/yearCalculated-?kWhheat, Annual heating energy savingskWh/yearCalculated-Rbase , R-value of existing insulation°F.ft2.hr/BTUEDC Data GatheringDefault: REF _Ref11337130 \h Table 21209, 10Ree , R-value of insulation added °F.ft2.hr/BTUEDC Data GatheringDefault: REF _Ref11337130 \h Table 21209, 10A , Area of component being insulated Ft2EDC Data Gathering-FF , Framing factor, designed to account for space that is occupied by framingNoneIf externally applied or non-floor component = 0%If studs and cavity = 12%4CDD , Annual cooling degree-days, base 65°F°F-day/yearSee CDD in Vol 1., App. A15HDD , Annual heating degree-days, base 65°F°F-day/yearSee HDD in Vol 1., App. A15EFLHcool , Equivalent full load cooling hours Hours/yearSee EFLHcool in Vol 1., App. A14DUA , Discretionary use adjustment to account for uncertainty in predicting cooling system usage patterns of occupantsNone0.755SEER, Cooling system seasonal efficiencyBtuW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h 2.2.16HSPF, Heating system seasonal efficiencyBTUW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h 2.2.16FRAC , Adjustment factor to relate insulated area to area served by room air conditionersNoneIf Room AC = 0.38If non-Room AC = 1.07COPg, Coefficient of Performance. This is a measure of the efficiency of a heat pumpNoneEDC Data Gathering-EERg , Energy Efficiency Ratio of a GSHP, this is measured differently than EER of an air source heat pump and must be convertedBTUW?hEDC Data GatheringDefault = 16.6-GSER , Factor used to determine the SEER of a GSHP based on its EERgBTUW?h1.0212GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitProportion0.841612GSHPDF , Ground Source Heat Pump De-rate FactorProportion0.88513CF , Coincidence factorNoneSee CF in Vol. 1, App. A14AHF , Adjustment for cooling savings to account for inaccuracies in engineering algorithms.None1.21 if adding attic ins., 1.0 if not8Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 120: Default Base and Energy Efficient (Insulated) R ValuesComponentExisting ConditionValue (°F?ft2?hrBtu)Rceil,base, Assembly R-value of ceiling/attic before retrofitUn-insulated attic54.5” (R-13) of existing attic insulation166” (R-19) of existing attic insulation2210” (R-30) of existing attic insulation30Rceil,ee, Assembly R-value of ceiling/attic after retrofitRetrofit to R-49 total attic insulation49Rwall,base, Assembly R-value of wall before retrofitAssumes existing, un-insulated wall with 2x4 studs @ 16” o.c., w/ wood/vinyl siding5Rwall,ee, Assembly R-value of wall after retrofitAssumes adding R-6 per DOE recommendations11Rfloor,base, R-value of floor before retrofit Thermal resistance of existing floor insulation above crawlspace3.96Rfloor,ee, R-value of floor after retrofitThermal resistance of insulation added to floor above crawlspaceEDC Data GatheringRrimjoistbase, R-value of rim joist before retrofitBaseline R-value of rim joist2.5Rrimjoistee, R-value of rim joist after retrofitR-value of installed spray foam or rigid foam insulation applied to rim joistEDC 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.Sources“GDS Associates, Inc., Measure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures, 2007. HYPERLINK "" State of Ohio Energy Efficiency Technical Reference Manual,”, prepared for the Public Utilities Commission of Ohio by Vermont Energy Investment Corporation. August 6, 2010.”Improving Attic Thermal Performance”, Home Energy, November 2004.NOAA Climatic Data for Pennsylvania cities- Cloudiness (mean number of days Sunny, Partly Cloudy, and Cloudy), HYPERLINK "" DOE Federal Standards for Central Air Conditioners and Heat Pumps. HYPERLINK "" efficiency standards for Ground and Groundwater Source Heat Pumps. IECC 2009.Minnesota Department of Commerce, Home Envelope, An Energy Guide to Help You Keep the Outside Out and the Inside In. HYPERLINK "" 2001A. “Characterization of Framing Factors for Low-Rise Residential Building Envelopes in California” - Public Interest Energy Research ProgramVEIC estimate. Extrapolation of manufacturer data.: Final Report, Publication Number: 500-02-002, Dec 2001. HYPERLINK "" .Energy Center of Wisconsin, “Central Air Conditioning in Wisconsin, A Compilation of Recent Field Research,” HYPERLINK "" For all systems excluding ground source heat pumps: Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . Due to small sample size in residential baseline, the lowest efficiency options available in BEopt were chosen as defaults for ground source heat pumps.From PECO baseline study, average home size = 2,323 ft2, average number of room AC units per home = 2.1. Average Room AC capacity = 10,000 BTU/hr per ENERGY STAR Room AC Calculator, which serves 425 ft2 (average between 400 and 450 ft2 for 10,000 BTU/hr unit per ENERGY STAR Room AC sizing chart). FRAC = (425 ft2 × 2.1)/(2,323 ft2) = 0.38.Illinois Statewide Technical Reference Manual, Version 7.0. September 28, 2018. HYPERLINK "" .Used eQuest 3.64 to derive roof assembly R-values. When insulation is added between the joists as in most insulation up to R-30 (10”), the assembly R-value is based on a parallel heat transfer calculation of the insulation and joists, rather than a series heat transfer.2009 ASHRAE Fundamentals, Chapter 25 and 26. Method from “Total Thermal Resistance of a Flat Building Assembly” in Chapter 25. Values from Chapter 26: interior air film = 0.68, 1.5" wooden rim joist = 1.65, exterior air film = 0.17. Total= 2.50 °F-ft2-h/BTUEngineering calculation, HSPF/COP=2015 International Energy Conservation Code, Table R402.1.2: Insulation and Fenestration Requirements by Component. HYPERLINK "" estimate. Extrapolation of manufacturer data.McQuay Application Guide 31-008, Geothermal Heat Pump Design Manual, 2002. Engineering Estimate - See System Performance of Ground Source Heat Pumps3.412Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" Consistent with CFs found in RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008. Climatography of the United States No. 81. Monthly Station Normals of Temperature, Precipitation, and Heating and Cooling Degree Days 1971-2000, 36 Pennsylvania. NOAA. HYPERLINK "" on REM/Rate modeling using modelsthe Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" SWE Team Calculations with data from the National Solar Radiation Database. 1991–2005 Update: Typical Meteorological Year 3. NREL. HYPERLINK "" or Crawl Space Wall InsulationTarget SectorResidential EstablishmentsMeasure UnitInsulation AdditionMeasure Life15 years Source 1VintageRetrofitThis protocol covers the calculation of energy and demand savings associated with insulating foundation walls in basements and crawl spaces in residential homes. Cooling savings are only produced from insulation improvements to above-grade portions of the wall, since the below-grade portions are expected to be cooler than the temperature set point of the building. Heating savings will be produced from the entire insulation improvement, though in varying quantities depending on whether above or below grade.EligibilityThis measure protocol applies to the installation of insulation to the walls of basements or unvented crawl space walls in existing residential buildings.Research has shown that vented crawlspaces that are sealed and insulated operate similarly to basements in providing benefits such as energy savings, comfort, moisture control, long-term durability, and healthier air quality.Source 2 Sealing the crawl space must follow the required PA building codes, including covering the earth with a Class I vapor retarder and providing ventilation of at least 1cfm per 50 ft2 of crawlspace. In addition, sealing of the crawlspace must not block access to the space. Basement or crawl space insulation should have either a minimum R-10 continuous insulated sheathing on the interior or exterior of the home, or R-13 cavity insulation at the interior of the crawl space wall in IECC Climate Zone 4, and R-15 continuous or R-19 cavity insulation in zones 5 or 6.Source 3AlgorithmsPA 2012 Potential Study. EFLH calculated from kWh consumption forSavings are due to a reduction in cooling and heating requirements due to insulation.kWh=kWhcool+ kWhheatkWhcool=1Rbase-1Rbase+Ree× L×Hag×1-FF×CDD×24hrdaySEER×1,000WkW×DUA×FRACkWhheat=1Rbase-1Rbase+Ree×Hag+1Rbase+REarth-1Rbase+REarth+Ree×Hbg×L×1-FF×HDD×24hrdayHSPF×1,000WkW×AF?kWpeak=kWhcoolEFLHcool×CFGround Source Heat Pumps (GSHP)GSHP efficiencies are typically calculated differently than air-source units, baseline and qualifying unit efficiencies should be converted as follows should be converted as follows:SEER= EERg × GSHPDF × GSERHSPF=COPg × GSHPDF ×3.412BTUW?hPTAC and PTHPSEER = EERDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 121: Terms, Values, and References for Basement or Crawl Space InsulationTermUnitValuesSourceRbase, baseline R-value of foundation wall°F-ft2-h/BTUEDC Data GatheringDefault = existing nominal R-value + 1; Minimum = 1. (An uninsulated wall is assumed to be R-1.)4REarth, average R-value for the thermal resistance of the Earth at the height of insulated foundation wall below grade (Hbg)°F-ft2-h/BTU REF _Ref413166561 \h \* MERGEFORMAT Table 21225Ree, R-value of installed spray foam, rigid foam, or cavity insulation applied to foundation wall°F-ft2-h/BTUEDC Data GatheringEDC Data GatheringL, length of foundation wall around the entire insulated perimeterftEDC Data GatheringEDC Data GatheringHag, height of insulated foundation wall above gradeftEDC Data GatheringEDC Data GatheringHbg, height of insulated foundation wall below gradeftEDC Data GatheringEDC Data GatheringFF, framing factor, adjustment to account for area of framing when cavity insulation is usedProportionIf externally applied = 0%If studs and cavity = 25%6CDD, cooling degree days matched to basement or crawlspace condition (conditioned/unconditioned). Insulation in unconditioned spaces is modeled by reducing the degree days to reflect the smaller but non-zero contribution to heating and cooling load.°F-daySee CDD in Vol. 1 App. A13HDD, heating degree days matched to basement or crawlspace condition (conditioned/unconditioned). Insulation in unconditioned spaces is modeled by reducing the degree days to reflect the smaller but non-zero contribution to heating and cooling load.°F-daySee HDD in Vol. 1 App. A13DUA, Discretionary Use Adjustment, adjustment for times when AC is not operating even though conditions may call for itProportion0.757FRAC , Adjustment factor to relate insulated area to area served by room air conditionersNoneIf Room AC = 0.38If non-Room AC = 1.014SEER, Cooling system seasonal efficiencyBTUW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.18HSPF, Heating system seasonal efficiencyProportionEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.18AF, adjustment factor, accounts for prescriptive engineering algorithms overestimating savingsProportion0.889COP, Coefficient of Performance. This is a measure of the efficiency of a heat pumpNoneEDC Data Gathering-EER , Energy Efficiency Ratio of a GSHP, this is measured differently than EER of an air source heat pump and must be convertedBTUW?hEDC Data Gathering-GSER , Factor used to determine the SEER of a GSHP based on its EERgBTUW?h1.0211GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unitProportion0.841611GSHPDF , Ground Source Heat Pump De-rate FactorProportion0.88512EFLHcool, equivalent full-load hours of air conditioninghoursEDC Data Gathering orSee EFLHcool in Vol. 1 App. AEDC Data Gathering10CF, coincidence factorProportionSee CF in Vol. 1 App. A10 REF _Ref413166561 \h Table 2122 should be used to determine the average thermal resistance of the Earth (REarth) at the height of foundation wall below grade (Hbg). Use a crawl space wall that is 5 ft in height as an example of proper use of the table. If the crawl space wall is 5 ft in height and 1 ft is above grade (Hag = 1 ft), then the remaining 4 ft are below grade (Hbg = 4 ft). To determine the REarth for that below-grade wall height, look for the column for Hbg = 4ft in REF _Ref413166561 \h Table 2122. REarth in this example is therefore 6.42 °F-ft2-h/BTU.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 122: Below-grade R-valuesHbg (ft)012345678REarth (°F-ft2-h/BTU)2.443.474.415.416.427.468.469.5310.69Default 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.SourcesMeasure Life Report, Residential and Commercial/Industrial Lighting and HVAC Measures Prepared for The New England State Program Working Group, HYPERLINK "" . Measure life for insulation is 25 years. Note that PA Act 129 savings can be claimed for no more than 15 years, thus the 15 year measure life.USDOE, Guide to Closing and Conditioning Ventilated Crawlspaces, HYPERLINK "" International Energy Conservation Code, Table R402.1.2: Insulation and Fenestration Requirements by Component. HYPERLINK "" ASHRAE Fundamentals, Table 16 – Wall Conduction Time Series; total R = 0.95 for a wall built from 200mm LW CMU with fill insulation.Illinois Statewide Technical Reference Manual, Version 7.0. September 28, 2018. HYPERLINK "" 2001A. “Characterization of Framing Factors for Low Rise Residential Building Envelopes in California” - Public Interest Energy Research Program: Final Report, Publication Number: 500-02-002, Dec 2001. HYPERLINK "" Center of Wisconsin, May 2008 metering study; “Central Air Conditioning in Wisconsin, A Compilation of Recent Field Research”, p31. HYPERLINK "" . Models assume 50% over-sizing of air conditioners and 40% oversizing of For all systems excluding ground source heat pumps.: Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" . Due to small sample size in residential baseline, the lowest efficiency options available in BEopt were chosen as defaults for ground source heat pumps.“Home Energy Services Impact Evaluation”, August 2012. Based on comparing algorithm derived savings estimate and evaluated bill analysis estimate. HYPERLINK "" PA TRM Section 2.2.4 Room AC Retirement.Based on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" estimate. Extrapolation of manufacturer data.McQuay Application Guide 31-008, Geothermal Heat Pump Design Manual, 2002. Engineering Estimate - See System Performance of Ground Source Heat PumpsPA SWE Team Calculations with data from the National Solar Radiation Database. 1991–2005 Update: Typical Meteorological Year 3. NREL. HYPERLINK "" PECO baseline study, average home size = 2,323 ft2, average number of room AC units per home = 2.1. Average Room AC capacity = 10,000 BTU/hr per ENERGY STAR Room AC Calculator, which serves 425 ft2 (average between 400 and 450 ft2 for 10,000 BTU/hr unit per ENERGY STAR Room AC sizing chart). FRAC = (425 ft2 × 2.1)/(2,323 ft2) = 0.38.ENERGY STAR Windows Measure NameENERGY STAR WindowsTarget SectorResidential EstablishmentsMeasure UnitWindow AreaUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure Life(15 max, but 20 for TRC) yearsyearsSource 1VintageReplace on BurnoutRetrofitEligibilityThis protocol documents the energy savings for replacing existing windows in a residence with ENERGY STAR certified windows. The target sector is primarily residential. AlgorithmsAlgorithmsThe general form of the equation for the ENERGY STAR or other high-efficiency windows energy savings’ algorithms is:Total SavingskWh =kWhcool+kWhheatkWhcool =Area of Window ft2 × Savingsft2× ηprotoηbase× UESregion,systemkWhheat =Area of Window ft2 ×ηprotoηbase × UESregion,systemkW =kWhcool EFLHcool×CFEnergy savings depend on three components: a unit energy savings value (UES) developed from prototype home energy models, the ratio of the efficiency of the cooling and heating equipment in the home to the values in the prototype home (ηprotoηbase), and the window area. To calculate energy savings, look up the efficiency value for the applicable equipment type in the Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534295897 \r \h \* MERGEFORMAT 2.2. This is ηproto. For ηbase, use the corresponding value for the equipment in the home, or the default value of ηproto (i.e., a ratio of 1). Calculate the ratio. Then look up the value for UES in REF _Ref532475125 \h Table 2124 for the correct equipment type and climate reference city. Multiply these values by the window area to get cooling or heating savings.Definition of TermsTo determine resource savings, the per-square-foot estimates in the algorithms will be multiplied by the number of square feet of window area. The number of square feet of window area will be determined using market assessments and market tracking. Some of these market tracking mechanisms are under development. The per-unit energy and demand savings estimates are based on prior building simulations of windows.Savings’ estimates for ENERGY STAR Windows are based on modeling a typical 2,500 square foot home using REM Rate, the home energy rating tool. Savings are per square foot of qualifying window area. Savings will vary based on heating and cooling system type and fuel. These fuel and HVAC system market shares will need to be estimated from prior market research efforts or from future program evaluation results.Heat Pump HVAC System:kWh/yr= ESavHP kWpeak= DSavHP × CFElectric Heat/Central Air Conditioning:kWh/yr= ESavRESCAC kWpeak= DSavCAC× CFElectric Heat/No Central Air Conditioning:kWh/yr=ESavResNoCACkWpeak=DSavNOCAC × CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 108123: ENERGY STAR Windows -Terms, Values, and References for ENERGY STAR WindowsComponentUnitValueSourcesESavHP , Electricity savings (heating and cooling) with heat pump installedkWhft22.23951HP Time Period Allocation FactorsNoneSummer/On-Peak 10%Summer/Off-Peak 7%Winter/On-Peak 40%Winter/Off-Peak 44%2ESavRES/CAC , Electricity savings with electric resistance heating and central AC installed.kWhft24.01Res/CAC Time Period Allocation FactorsNoneSummer/On-Peak 10%Summer/Off-Peak 7%Winter/On-Peak 40%Winter/Off-Peak 44%2ESavRES/NOCAC , Electricity savings with electric resistance heating and no central AC installedkWhft23.971Res/No CAC Time Period Allocation FactorsNoneSummer/On-Peak 3%Summer/Off-Peak 3%Winter/On-Peak 45%Winter/Off-Peak 49%2DSavHP , Summer demand savings with heat pump installed.kWft20.0006021DSavCAC , Summer demand savings with central AC installed.kWft20.0006021DSavNOCAC , Summer demand savings with no central AC installed.kWft20.001CF , Demand Coincidence FactorDecimal0.6473TermUnitValueSourcesUESregion,system, Climate region dependent electricity savings for efficient glazingkWhft2See REF _Ref532475125 \h \* MERGEFORMAT Table 21242ηbase , Baseline heating or cooling equipment efficiencyvariesMeasured, EDC Data GatheringDefault: ηprotoηproto , Prototype heating or cooling equipment efficiencyvariesSee Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.13EFLHcool , Equivalent Full Load Cooling hourshoursyearSee EFLHcool in Vol. 1, App. A4CF, Demand Coincidence FactorProportionSee CF in Vol. 1, App. A4Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 124: Default UESregion, system , kWh per Square Foot of Replaced WindowReference CityCoolingHeatingASHPCentral ACMini-splitGSHPASHPElectric FurnaceBase-boardMini-splitGSHPAllentown0.661.500.590.572.863.403.122.100.95Binghamton0.460.650.470.364.504.604.283.561.27Bradford0.351.100.340.255.575.517.864.631.58Erie0.510.510.460.414.074.814.073.121.35Harrisburg0.750.820.730.662.843.913.172.401.06Philadelphia0.860.830.760.861.682.535.851.310.68Pittsburgh0.660.660.640.603.063.823.062.281.07Scranton0.590.680.570.503.363.833.552.581.06Williamsport0.650.460.610.582.993.475.082.190.96Evaluation 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.Based on modelling using BEopt v2.8.0 performed by NMR Group, Inc. Unit energy savings were calculated by modeling a prototypical Pennsylvania single family detached house with statewide average characteristics determined through the Pennsylvania Act 129 2018 Residential Baseline Study. Simulations for each equipment-climate region combination were performed for plain double-plane (0.49 U, 0.56 SHGC) and triple-pane ENERGY STAR (0.27 U, 0.26 SHGC) windows. The difference in heating and cooling loads were then apportioned evenly among the 322 square feet of windows in the prototype home yielding the UES values.Pennsylvania Act 129 2018 Residential Baseline, HYPERLINK "" on the Phase III SWE team’s analysis of regional HVAC runtime data collected from ecobee’s Donate Your Data research service. HYPERLINK "" Window RepairTarget SectorResidential EstablishmentsMeasure UnitPer window repairedMeasure Life15 years Source 1VintageRetrofitMost residential windows lose some heat to air leakage, which is typically measured in infiltration per window area (CFM/ft2). In 2004, the National Fenestration Rating Council (NFRC) listed a range of typical air leakage rates from 0.06 CFM/ft2 to 1.0 CFM/ft2, though actual air leakage will vary based on the condition of individual windows. Windows with compression seals (e.g. casement and awning windows) can achieve lower infiltration rates than sliding windows with felt seals.Source 2 Currently, the NFRC states that most windows now range between 0.1 and 0.3 CFM/ft2. Source 3Repairs to wooden windows are recommended to include the following as part of the repair:Source 4Remove the sashes by removing the interior stops and parting bead of the window frame.Clean the frames and sashes of any flaking paint or other coatings that may impede the proper installation of gaskets and seals.Caulk and seal the corners and joints in the window frame. This includes all joints between the sill and jambs as well as between the casings and frames.Cut grooves into the sashes where new gaskets will be installed.Prime and paint the window frames and sashes.Install new gaskets around the perimeter of the sashes. V-groove type gaskets will likely work the best at the jambs and meeting rails, while bubble gaskets work well at the head and sill interface.Reinstall the sashes, meeting rails, and interior stops.As part of the work, if the weight pockets are retained, clean and lubricate pulleys, replace the sash cords or chains, and balance the weights as part of the work.The weight and balance system could also be abandoned and replaces with a spring-loaded tape balance. The weight pockets can then be insulated and sealed, improving the overall thermal performance of the window frame-to-rough opening interface.EligibilityTo be eligible, the window’s weatherstripping must be repaired or replaced in addition to an assessment—and possible repair—of the condition of the window sash. AlgorithmsThe annual energy savings are obtained through the following formula. Any cooling savings resulting from this measure are considered negligible. Since the estimated savings are based on heating, there is no anticipated impact on demand during the peak period (June through August, 2 p.m. to 6 p.m.).kWh=N×1.08 ×CFM×IRF×OF×HDD×24hrdayHSPFCFM=CFM/ft2× ADefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 125: Terms, Values, and References for Residential Window RepairTermUnitValuesSourceN , Number of windowsWindowsEDC Data Gathering-1.08 , Conversion factor that converts CFM air (at 70°F) to BTU/hr-°FBTU×minhr×°F×ft31.08-CFM , Infiltration of existing windowCFMCalculated-CFM/ft2 , Infiltration rate of existing windowCFM/ft2See REF _Ref486599750 \h \* MERGEFORMAT Table 21265, 7*A , Individual window areaft2EDC Data Gathering-IRF , Infiltration reduction factorNone60%6OF , Orientation factor, relating the prevailing wind direction to building fa?ade orientationNone25%5*HDD , Heating degree-days °F-daySee HDD in Vol. 1, App F.-HSPF, Heating system efficiencyBTUW?hEDC Data GatheringDefault: See Early Replacement values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \r \h \* MERGEFORMAT 2.2.11* Assumes a typical window size of 24 inches by 48 inches (8 ft2), that a repaired window has a 1 in 4 chance of being on the windward face of a building at a given time, and based on “Only windows on windward elevations exhibit air infiltration at any one time.” Source 5 The infiltration rates are provided in Source 5. The infiltration rates in Source 5 reflect infiltration at 1.56 lb/ft2 (25 mph winds), which is higher than 10 mph average wind speed for Pennsylvania’s heating season (estimated at October through March). According to Ensewiler’s Formula (see below), at wind speeds of 10 mph the pressure difference across a window is 0.26 lb/ft2. Using the the fact that 0.1 CFM/ft2 at 6.24 lb/ft2 is equivalent to 0.04 CFM/ft2 at 1.56 lb/ft2 (Source 5), and the relationship between flow rate and pressure from Source 7 the infiltration rates were extrapolated to the values tabulated in REF _Ref486599750 \h Table 2126.P=0.00256×V2Where,P = Pressure difference across window, lb/ft2V = Wind velocity, mphSource 7 establishes the relationship between flow rate and pressure:q=C×ΔPnWhere,q = Flow rate per unit area, CFM/ft2C = flow coefficient, CFM/ft2 / (lb/ft2)nΔP = pressure difference across window (lb/ft2)n = flow exponentTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 126: Existing Infiltration AssumptionsWindow TypeInfiltration Rate (CFM/ft2)Non-weatherstripped single- or double-hung or sliding window6.0Weatherstrippied single- or double-hung or sliding window ORnon-weatherstripped awning or casement windows2.4Weatherstripped awning or casement windows1.2Default 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.SourcesFrom REMRATE Modeling of a typical 2,500 sq. ft. NJ home. Savings expressed on a per-square-foot of window area basis. New Brunswick climate data. Time period allocation factors used in cost-effectiveness analysis.Based on reduction in peak cooling load. Straub, Mary and Switzer, Sheldon."Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" Prorated based on 12% of the annual degree days falling in the summer period and 88% of the annual degree days falling in the winter period.Pennsylvania Act 129 2018 Residential Baseline Study, HYPERLINK "" , John and Dorsi, Chris. Residential Energy, 4th Edition. 2004.The National Fenestration Rating Council, “The NFRC Label,” HYPERLINK "" Baker, P. Measure Guideline: Wood Window Repair, Rehabilitation and Replacement. December 2012. HYPERLINK "" Wausau Window and Wall Systems, “Air Infiltration Energy Usage,” HYPERLINK "" James, Shapiro, Flanders and Hemenway, Testing the Energy Performance of Wood Windows in Cold Climates, August 30, 1996. HYPERLINK "" Shaw, C.Y. and Jones, L. Air Tightness and Air Infiltration of School Buildings, 1979. HYPERLINK "" HomeResidential New ConstructionMeasure NameResidential New ConstructionTarget SectorResidential EstablishmentsMeasure UnitMultipleUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure LifeVariesVintageNew ConstructionEligibilityThis protocol documents the energy savings attributed to improvements to the construction of residential homes abovebuildings compared to the baseline homeof a minimally code-compliant building, as calculated by the appropriate energy modeling software. This measure may be applied to attached or as determined by deemed savings values.detached single-family homes and to multifamily residential buildings that meet the following requirements:Source 12All units must be individually metered.Each unit must have its own residential-grade heating, cooling, and water heating equipment.The building must be under 6 stories.Dwelling units must comprise at least 80% of the occupable space of the building.Multifamily buildings of 4 stories and higher are subject to the commercial building code and hence have different baseline specifications than buildings subject to residential building code requirements. Savings for multifamily buildings may be claimed only for savings generated in the residential spaces of the building.AlgorithmsAlgorithmsInsulation Up-Grades, Efficient Windows, Air Sealing, Efficient HVAC Equipment and Duct Sealing (Weather-Sensitive Measures):Energy and peak demand savings due to improvements in the above mentioned measures infor Residential New Construction programs will be a direct output of accredited Home Energy Ratings (HERS) software that meets the applicable Mortgage Industry National Home Energy Rating System Standards. REM/Rate is cited here as an example of an accredited software which can be used to estimate savings for this program. REM/Rate has a module that compares the calculated by comparing outputs of energy models of the as-designed unit or building to a minimally code-compliant baseline unit or building. The characteristics of the energy efficient home to the baseline/reference home and calculates savings. For residential new construction, the baseline baseline unit or building thermal envelope and/or system characteristics shall be based on the current state-adopted 2009 International ResidentialEnergy Conservation Code (IRC 2009).IECC) 2015.The Modeled energy and peak demand savings shall be produced by a RESNET accredited software program or the Passive House accreditation software packages (Passive House Planning Package and WUFI Passive), though both Passive House tools require the user to separately model the code baseline reference design to calculate energy and demand savings for weather-sensitive measures .For multifamily buildings, savings may be calculated by modeling the building’s individual units using any approved software. Savings may also be calculated for the entire building using Passive House accreditation software, or under RESNET multifamily sampling protocols. Energy savings will be calculated from the software output using the following algorithm:Energy savings of the qualified homeunit/building (kWh/yr)= (Heating kWh base - Heating kWhq) + (Cooling kWh base– Cooling kWhq)kWh= kWhbase-kWheePeak demand savings are based on reduction in peak cooling loads. Neither the RESNET accredited software nor Passive House accreditation software allow calculations of peak demand savings for end uses other than cooling equipment, which is assumed to be active during the peak period. Additional demand savings may be claimed under this measure, but these additional demand savings must be calculated using the algorithms from the applicable measure elsewhere in the TRM. For example, to claim demand savings from a refrigerator, demand savings for that end use must be calculated using the demand savings algorithms in Sec. REF _Ref12544403 \w \h 2.4.1 REF _Ref12544376 \h ENERGY STAR Refrigerators. Claiming additional demand savings may require additional EDC data collection than required to generate the energy model.The system peak electric demand savings for weather-sensitive measures will be calculated from the software output with the following algorithm, which is based on compliance and certification of the energy efficient home to the EPA’s ENERGY STAR for New Homes’ program standard:Peak demand of the baseline home PLbase EERbase = /unit=PLbaseEERbasePeak demand of the qualifying home = PLq EERq /unit=PLeeEEReeCoincident system peak electric demand savings (kW)kWpeak = Peak demand of the baseline home/unit – Peak demand of the qualifying home/unit Definition of TermsA summary of the input values and their data sources follows: = (Peak demand of the baseline home – Peak demand of the qualifying home) × CFHot Water, Lighting, and Appliances (Non-Weather-Sensitive Measures):Quantification of additional energy and peak demand savings due to the installation of high-efficiency electric water heaters, lighting and other appliances will be based on the algorithms presented for these measures in Section 2 (Residential Measures) of this Manual. Where the TRM algorithms involve deemed savings, e.g. lighting, the savings in the baseline and qualifying homes should be compared to determine the actual savings of the qualifying home above the baseline. In instances where REM/Rate calculated parameters or model inputs do not match TRM algorithm inputs, additional data collection is necessary to use the TRM algorithms. One such example is lighting. REM/Rate requires an input of percent of lighting fixtures that are energy efficient whereas the TRM requires an exact fixture count. Another example is refrigerators, where REM/Rate requires projected kWh consumed and the TRM deems savings based on the type of refrigerator.It is also possible to have increases in consumption or coincident peak demand instead of savings for some non-weather sensitive measures. For example, if the amount of efficient lighting in a new home is less than the amount assumed in the baseline (IRC 2009), the home will have higher energy consumption and coincident peak demand for lighting, even though it still qualifies for the program.According to Architectural Energy Corporation, the developer of the REM/Rate model, this model does account for the interaction of energy savings due to the installation of high efficiency lighting or appliances with the energy used in a home for space conditioning. Architectural Energy Corporation staff explained to the Statewide Evaluator that lighting and appliance energy usage is accounted for in the REM/Rate model, and the model does adjust energy use due to the installation of high efficiency lighting and appliances. Definition of TermsA summary of the input values and their data sources follows:Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 109127: : Terms, Values, and References for Residential New Construction – ReferencesComponentUnitValueSourcesHeating kWhbase, Annual heating energy consumption of the baseline home, from software.kWhSoftware Calculated1Heating kWhq, Annual heating energy consumption of the qualifying home, from software.kWhSoftware Calculated2Cooling kWhbase, Annual cooling energy consumption of the baseline home, from software.kWhSoftware Calculated1Cooling kWhq, Annual cooling energy consumption of the qualifying home, from software.kWhSoftware Calculated2PLbase, Estimated peak cooling load of the baseline home, from software.kBtu/hrSoftware Calculated3EERbase. Energy Efficiency Ratio of the baseline unit.BtuW?hEDC Data Gathering or SEERb * BLEER4EERq, Energy Efficiency Ratio of the qualifying unit.BtuW?hEDC Data Gathering or SEERq * BLEER4SEERbase, Seasonal Energy Efficiency Ratio of the baseline unit.BtuW?h1314 (ASHP)5BLEER, Factor to convert baseline SEERb to EERb.BtuW?h0.876PLq, Estimated peak cooling load for the qualifying home constructed, from software.kBtu/hrSoftware Calculated7SEERq, SEER associated with the HVAC system in the qualifying home.BtuW?hEDC Data Gathering8CF , Demand Coincidence Factor (See Section REF _Ref374020361 \r \h \* MERGEFORMAT 1.5)Decimal0.6479TermUnitValueSourceskWhbase , Annual energy consumption of the baseline home/unit/building.kWhSoftware Calculated1kWhee , Annual energy consumption of the qualifying home/unit/building.kWhSoftware Calculated2PLbase , Estimated peak cooling load of the baseline home/unit.kBTU/hrSoftware Calculated3PLee, Estimated peak cooling load for the qualifying home/unit.kBTU/hrSoftware Calculated5EERbase , Energy Efficiency Ratio of the baseline unit.BTUW?hEDC Data GatheringDefault: -0.0228 × SEERbase2 + 1.1522 × SEERbase4EERee , Energy Efficiency Ratio of the qualifying unit.BTUW?hEDC Data GatheringDefault: -0.0228 × SEERee2 + 1.1522 × SEERee4SEERbase , Seasonal Energy Efficiency Ratio of the baseline unit.BTUW?h1314 (ASHP)8SEERee , SEER associated with the HVAC system in the qualifying home.BTUW?hEDC Data Gathering6Model inputs for baseline homeVariesLess than 4 stories: See REF _Ref12550443 \h Table 2128 and REF _Ref377134627 \h Table 21294 stories and higher: See REF _Ref12550357 \h Table 2130 and REF _Ref12550464 \h Table 2131The following table lists the building envelope characteristics of the baseline reference home based on IRC 20092015 IECC for the three climate zones in Pennsylvania.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 110128: Baseline Insulation and Fenestration Requirements by Component for Buildings Less Than 4 Stories (Equivalent U-Factors)Source 10IECC Climate ZoneFenestration U-FactorSkylight U-FactorCeiling U-FactorFrame Wall U-FactorMass Wall U-FactorFloorU-FactorBasement WallU-FactorSlabR-Value & DepthCrawl Space WallU-Factor4A0.350.60550.0300260.0820600.1410980.0470.05910, 2 ft0.0655A0.35320.60550.0300260.0600.0820.0330.05905010, 2 ft0.0650556A0.35320.60550.0260.0600450.0600.0330.05905010, 4 ft0.065055Climate Region D and York County are CZ4A, Climate Region A and G are CZ6A, everything else is CZ5A.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 111129: Energy Star Homes - User Defined Reference Home: Residential New Construction Baseline Building Values for Buildings Less Than 4 StoriesData PointValueSourceAir Infiltration Rate75.0 ACH50 for the whole house137Duct Leakage12 cfm25 (124 CFM25 (4 cubic feet per minute per 100 square feet of conditioned space when tested at 25 pascals)137Duct InsulationSupply and return ducts in attics shall be insulated to a minimum of R-8. where ≥3” in diameter and a minimum of R-6 where <3” in diameter. All other ducts not located completely inside the building thermal envelope shall be insulated to a minimum of R-6 where ≥3” in diameter and a minimum of R-4.2 where <3” in diameter.107Duct Location50% in conditioned space, 50% unconditioned spaceProgram DesignMechanical VentilationNoneA continuous whole-house ventilation system with efficiency of 2.8 CFM/Watt and airflow defined by Table M1507.3.3(1) of 2015 IRC1011LightingUse baseline wattage as defined in the REF _Ref303086637 \h ENERGY STAR Lighting section. AppliancesUse DefaultUse baseline values as defined in applicable TRM measure for each appliance.Thermostat SetbackMaintain zone temperature down to 55 oF (13 oC) or up to 85 oF (29 oC)107Temperature Set PointsHeating: 70°FCooling: 78°F107Heating EfficiencyFurnace80% AFUE118Gas Fired Steam Boiler8082% AFUE118 Oil Fired Steam or Gas Fired Hot Water Boiler8284% AFUE118Oil Fired Steam Boiler85% AFUE8Oil Fired Hot Water Boiler8486% AFUE118Combo Water Heater76% AFUE (recovery efficiency)118 Air Source Heat Pump8.2 HSPF10 Geothermal Heat Pump7.7 HSPF10 PTAC /ASHP, GSHP, PTHPNot differentiated from air source HPSee New Construction values in REF _Ref531779526 \h Table 28 in Sec. REF _Ref534371933 \w \h 2.2.1. For ductless heat pumps, use value for ASHP.10Cooling Efficiency Central Air ConditioningAll types13.0 SEERSee New Construction values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \w \h \* MERGEFORMAT 2.2.1. For ductless heat pumps, use value for ASHP.10 Air Source Heat Pump14.0 SEER10 Geothermal Heat Pump13 SEER (11.2 EER)10 PTAC / PTHPNot differentiated from central AC10 Window Air ConditionersNot differentiated from central AC10Domestic WH EfficiencyElectric≥20 gal and ≤55 gal: EF = 0.969307 - 0.0003*(0002×(Vs)>55 gal and ≤120 gal: EF = 2.0571171 - 0.00113*(0011×(Vs)129Natural Gas≥20 gal and ≤55 gal: EF = 0.6756483 – (0.0015*0017×Vs)>55 gal and ≤100 gal: EF = 0.80127897 – (0.00078*0004× Vs)Vs: Rated Storage Volume – the water storage capacity of a water heater (in gallons)127Additional Water Heater Tank InsulationNoneTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 130: Baseline Insulation and Fenestration Requirements by Component for Buildings 4 Stories or Higher (Equivalent U-Factors)Source 13IECC Climate ZoneBuilding Element4A5A6AFixed Fenestration U-Factor 0.380.380.36Operable Fenestration U-Factor 0.450.450.43Skylight U-Factor0.500.500.50Roof U-Factor, Insulation entirely above roof deck0.0320.0320.032Roof U-Factor, Metal building0.0350.0350.035Roof U-Factor, Attic and other0.0270.0270.027Above Grade Wall U-Factor, Mass0.0900.0800.071Above Grade Wall U-Factor, Metal building0.0520.0520.052Above Grade Wall U-Factor, Metal framed0.0640.0640.057Above Grade Wall U-Factor, Wood framed and other0.0640.0640.051Below Grade Wall C-Factor0.1190.1190.119Floor U-Factor, Mass0.0740.0640.057Floor U-Factor, Joist/framing0.0330.0330.033Slab-on-grade Floors, F-Factor, Unheated0.540.540.52Slab-on-grade Floors, F-Factor, Heated0.650.650.58Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 131: Residential New Construction Baseline Building Values for Buildings 4 Stories or HigherData PointValueSourceAir Infiltration Rate0.4 cfm/ft214Duct InsulationSupply and return ducts and plenums shall be insulated with a minimum of R-6 insulation where located in unconditioned spaces and where located outside the building with a minimum of R-8 insulation in Climate Zone 4A and a minimum of R-12 insulation in Zones 5A and 6A. Where located within the building envelope assembly, the duct or plenum shall be separated from the building exterior or unconditioned or exempt spaces by a minimum of R-8 insulation in Climate Zone 4A and a minimum of R-12 insulation in Zones 5A and 6A.15Mechanical Ventilation0.35 ACH but not less than 15 cfm/person16LightingUse baseline wattage as defined in the REF _Ref303086637 \h ENERGY STAR Lighting section. AppliancesUse baseline values as defined in applicable TRM measure for each appliance.Thermostat SetbackMaintain zone temperature down to 55 oF (13 oC) or up to 85 oF (29 oC)7Temperature Set PointsHeating: 70°FCooling: 78°F7Heating EfficiencyFurnace80% AFUE8Gas Fired Steam Boiler82% AFUE8Gas Fired Hot Water Boiler84% AFUE8Oil Fired Steam Boiler85% AFUE8Oil Fired Hot Water Boiler86% AFUE8Combo Water Heater76% AFUE (recovery efficiency)8ASHP, GSHP, PTHPSee New Construction values in REF _Ref531779526 \h Table 28 in Sec. REF _Ref534371933 \w \h 2.2.1. For ductless heat pumps, use value for ASHP.Cooling EfficiencyAll typesSee New Construction values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \w \h \* MERGEFORMAT 2.2.1. For ductless heat pumps, use value for ASHP.Domestic WH EfficiencyElectric≥20 gal and ≤55 gal: EF = 0.9307 - 0.0002×(Vs)>55 gal and ≤120 gal: EF = 2.1171 - 0.0011×(Vs)9Natural Gas≥20 gal and ≤55 gal: EF = 0.6483 – (0.0017×Vs)>55 gal and ≤100 gal: EF = 0.7897 – (0.0004× Vs)Vs: Rated Storage Volume – the water storage capacity of a water heater (in gallons)7Additional Water Heater Tank InsulationNoneEvaluation 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.SourcesCalculation of annual energy consumption of a baseline home from the home energy rating tool based on the reference home energy characteristics.Calculation of annual energy consumption of an energy efficient home from the home energy rating tool based on the qualifying home energy characteristicsCalculation of peak load of baseline home from the home energy rating tool based on the reference home energy characteristics.If the EER of the unit is know, use the EER. If only the SEER is known, then use SEER * BLEER to estimate the EER.Federal Register, Vol. 66, No. 14, Monday, January 22, 2001/Rules and Regulations, p. 7170-7200.Ratio to calculate EER from SEER based average EER for SEER 13 units.Calculation of peak load of energy efficient home from the home energy rating tool based on the qualifying home energy characteristics.Calculation of peak load of baseline home from the home energy rating tool based on the reference home energy characteristics.“Methodology for Calculating Cooling and Heating Energy Input-Ratio (EIR) from the Rated Seasonal Performance Eefficiency (SEER OR HSPF)” (Kim, Baltazar, Haberl). April 2013 Accessed December 2018. HYPERLINK "" of peak load of energy efficient home from the home energy rating tool based on the qualifying home energy characteristics.SEER of HVAC unit in energy efficient qualifying home.Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. Found at HYPERLINK "" .2009 International Residential Code (IRC 2009, Sections N1102 – N1104)2015 International Energy Conservation Code §R401-R404. HYPERLINK "" Electronic Code of Federal Register / Vol. 73, No. 145 / Monday, July 28, 2008 / Rules and Regulations, p. 43611-43613, 10 CFR Part 430, Subpart C, §430.32, “Energy Conservation Program for Consumer Products: Energy and Water Conservation Standards for Residential Furnaces and Boilers.”.” HYPERLINK "" \l "se10.3.430_132" . Current as of November 13, 2018.US Federal Standards for Residential Water Heaters. Effective April 16, 2015. International ResidentialEnergy Conservation Code Table N1102R402.1.2. Table N1102.1.24 Equivalent U-Factors presents the R-Value requirements of Table N1102R402.1.12 in an equivalent U-Factor format. Users may choose to follow Table N1102R402.1.12 instead. IRC 20092015 IECC supersedes this table in case of discrepancy. Additional requirements per Section N1102§R402 of IRC 20092015 IECC must be followed even if not listed here. HYPERLINK "" Home Performance with ENERGY STAR 2015 International Residential Code, Table M1507.3.3(1): Continuous Whole-House Mechanical Ventilation System Airflow Rate Requirements. HYPERLINK "" EPA ENERGY STAR Multifamily New Construction Program Decision Tree, Version 1.3. HYPERLINK "" International Energy Conservation Code Table C402.1.4 Equivalent U-Factors presents the R-Value requirements of Table C402.1.3 in an equivalent U-Factor format. Users may choose to follow Table C402.1.3 instead. 2015 IECC supersedes this table in case of discrepancy. Additional requirements per §C402 of 2015 IECC must be followed even if not listed here. HYPERLINK "" International Energy Conservation Code §C403.2.9. HYPERLINK "" International Energy Conservation Code §C402.5. HYPERLINK "" International Mechanical Code, Table 403.3.1.1: Minimum Ventilation Rates. HYPERLINK "" STAR Manufactured Homes Measure NameHome Performance with ENERGY STARTarget SectorResidential EstablishmentsManufactured homesMeasure UnitMultipleVariableUnit Energy SavingsVariesUnit Peak Demand ReductionVariesMeasure LifeYears15 YearsSource 14VintageNew ConstructionEligibilityThis measure applies to manufactured homes compliant to and certified by EPA’s ENERGY STAR Manufactured Home’ program standard.AlgorithmsVintageRetrofitIn order to implement Home Performance with ENERGY STAR, there are various standards a program implementer must adhere to in order to deliver the program. These standards, along with operational guidelines on how to navigate through the HPwES program can be found on the ENERGY STAR website. Minimum requirements, Sponsor requirements, reporting requirements, and descriptions of the performance and prescriptive based options can be found in the v. 1.5 Reference Manual. The program implementer must use software that meets a national standard for savings calculations from whole-house approaches such as home performance. The software program implementer must adhere to at least one of the following standards:A software tool whose performance has passed testing according to the National Renewable Energy Laboratory’s HERS BESTEST software energy simulation testing protocol.Software approved by the US Department of Energy’s Weatherization Assistance Program.RESNET approved rating software.There are numerous software packages that comply with these standards. Some examples of the software packages are REM/Rate, EnergyGauge, TREAT, and HomeCheck. These examples are not meant to be an exhaustive list of software approved by the bodies mentioned above.EligibilityThe efficient condition is the performance of the residential home as modeled in the approved software after home performance improvements have been made. The baseline condition is the same home modeled prior to any energy efficiency improvements. AlgorithmsThere are no algorithms associated with this measure as the energy savings are shown through modeling software. For modeling software that provides 8760 energy consumption data, the following algorithm may be used as guidance to determine and peak demand savings:?kWpeak =Average kWPJM PEAKbase-Average kWPJM PEAKeeDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 112: Home Performance with ENERGY STAR - ReferencesComponentUnitValuesSourceAverage kWPJM PEAK , Average demand during the PJM Peak PeriodkWEDC Data Gathering1Evaluation 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.SourcesThe coincident summer peak period is defined as the period between the hour ending 15:00 Eastern Prevailing Time (EPT) and the hour ending 18:00 EPT during all days from June 1 through August 31, inclusive, that is not a weekend or federal holiday.ENERGY STAR Manufactured HomesMeasure NameENERGY STAR? Manufactured HomesTarget SectorResidential EstablishmentsMeasure UnitVariableUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 YearsVintageNew ConstructionEligibilityThis measure applies to ENERGY STAR Manufactured Homes.AlgorithmsInsulation Upgrades, Efficient Windows, Air Sealing, Efficient HVAC Equipment and Duct Sealing (Weather-Sensitive Measures):Energy and peak demand savings due to improvements in the above measures in in the ENERGY STAR Manufactured Homes programs will be a direct output of accredited Home Energy Ratings (HERS) software that meets the applicable Mortgage Industry National Home Energy Rating System Standards. REM/Rate is cited here as an example of an accredited software which can be used to estimate savings for this program. REM/Rate has a module that compares the energy characteristics of the energy efficient home to the baseline/reference home and calculates savings. calculated by comparing outputs of energy models of the as-designed home to a minimally code-compliant baseline home. Modeled energy and peak demand savings shall be produced by a RESNET accredited software program. For ENERGY STAR Manufactured Homes, the baseline building thermal envelope and/or system characteristics shall be based on the current Manufactured Homes Construction and Safety Standards (HUD Code). For this measure a manufactured home “means a structure, transportable in one or more sections, which in the traveling mode, is eight body feet or more in width or forty body feet or more in length, or, when erected on site, is three hundred twenty or more square feet, and which is built on a permanent chassis and designed to be used as a dwelling with or without a permanent foundation when connected to the required utilities, and includes the plumbing, heating, air conditioning, and electrical systems contained therein.”Source 14The Energy savings for weather-sensitive measures will be calculated from the software output using the following algorithm:Energy savings of the qualified home (kWh/yr)kWh= (Heating kWhbase– Heating kWhee) + (Cooling kWhbase– Cooling kWhee)kWh= kWhbase-kWhqPeak demand savings are based on reduction in peak cooling loads. The RESNET accredited software does not offer output to allow calculations of peak demand savings for end uses other than cooling equipment, which is assumed to be active during the peak period. Additional demand savings may be claimed under this measure, but these additional demand savings must be calculated using the algorithms from the applicable measure elsewhere in the TRM. For example, to claim demand savings from a refrigerator, demand savings for that end use must be calculated using the demand savings algorithms in Sec. REF _Ref12544403 \w \h 2.4.1 REF _Ref12544376 \h ENERGY STAR Refrigerators. Claiming additional demand savings may require additional EDC data collection than required to generate the energy model.The system peak electric demand savings for weather-sensitive measures will be calculated from the software output with the following algorithm, which is based on compliance and certification of the energy efficient home to the EPA’s ENERGY STAR Manufactured Home’ program standard:Peak demand of the baseline home=PLbPLbaseEERbbasePeak demand of the qualifying home=PLqEERqCoincident system peak electric demand savings (kW)kWpeak = Peak demand of the baseline home – Peak demand of the qualifying home Definition of TermskWpeak = (Peak demand of the baseline home – Peak demand of the qualifying home) × CF Hot Water, Lighting, and Appliances (Non-Weather-Sensitive Measures):Quantification of additional energy and peak demand savings due to the installation of high-efficiency electric water heaters, lighting and other appliances will be based on the algorithms presented for these measures in Section 2 (Residential Measures) of this Manual. Where the TRM algorithms involve deemed savings, e.g. lighting, the savings in the baseline and qualifying homes should be compared to determine the actual savings of the qualifying home above the baseline. In instances where REM/Rate calculated parameters or model inputs do not match TRM algorithm inputs, additional data collection is necessary to use the TRM algorithms. One such example is lighting. REM/Rate requires an input of percent of lighting fixtures that are energy efficient whereas the TRM requires an exact fixture count. Another example is refrigerators, where REM/Rate requires projected kWh consumed and the TRM deems savings based on the type of refrigerator.According to Architectural Energy Corporation, the developer of the REM/Rate model, this model does account for the interaction of energy savings due to the installation of high efficiency lighting or appliances with the energy used in a home for space conditioning. Architectural Energy Corporation staff explained to the Statewide Evaluator that lighting and appliance energy usage is accounted for in the REM/Rate model, and the model does adjust energy use due to the installation of high efficiency lighting and appliances. It was verified in the RESNET? Standard that lighting and appliances are account for as internal gains and will represnet an interaction with the HVAC systems. Definition of TermsA summary of the input values and their data sources follows:Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 113132: ENERGY STAR Manufactured Homes– ReferencesComponentUnitValueSourcesHeating kWhbase, Annual heating energy consumption of the baseline home kWhSoftware Calculated1Heating kWhee, Annual heating energy consumption of the qualifying home kWhSoftware Calculated1Cooling kWhbase, Annual cooling energy consumption of the baseline home kWhSoftware Calculated1Cooling kWhee, Annual cooling energy consumption of the qualifying homekWhSoftware Calculated1TermUnitValueSourceskWhbase, Esitmated annual energy consumption of the baseline home kWhSoftware Calculated1kWhq, Esimtated annual energy consumption of the qualifying home kWhSoftware Calculated1PLb, Estimated peak cooling load of the baseline homekBTU/hSoftware Calculated1PLq, Estimated peak cooling load for the qualifying home.kBTU/hSoftware Calculated1EERb, Energy Efficiency Ratio of the baseline unit.BtuW?hBTUW?hEDC Data Gathering or SEERb * BLEERDefault: -0.0228 × SEERbase2 + 1.1522 × SEERbase2EERq, Energy Efficiency Ratio of the qualifying unit.BtuW?hBTUW?hEDC Data Gathering or SEERq * BLEERDefault: -0.0228 × SEERee2 + 1.1522 × SEERee2SEERb, Seasonal Energy Efficiency Ratio of the baseline unit.BtuW?hBTUW?h1314 (ASHP)43BLEER, Factor to convert baseline SEERb to EERb.BtuW?hEDC Data GatheringDefault = 11.313ASHP Default = 12143PLq, Estimated peak cooling load for the qualifying home constructed, in kBtu/hr, from software.kBtu/hSoftware Calculated1SEERq, SEER associated with the HVAC system in the qualifying home.BtuW?hBTUW?hEDC Data Gathering54CF, Demand Coincidence Factor (See Section REF _Ref374020361 \r \h \* MERGEFORMAT 1.5)Model inputs for baseline homeVariesDecimalEDC Data GatheringDefault = 0.647See REF _Ref387398559 \h Table 21336The HUD Code defines required insulation levels as an average envelope Uo valueU0 factor per zone. In Pennsylvania zone 3 requirements apply with a required Uo valueU0-factor of 0.079. This value cannot be directly used to define a baseline envelope R-values because the Uo valueU0-factor is dependent on both the size of the manufactured homes and insulating levels together. However, because manufactured homes are typically built to standard dimensions baseline U-valuesfactors can be estimated with reasonable accuracy.Figure STYLEREF 1 \s 2 SEQ Figure \* ARABIC \s 1 46: Uo Baseline RequirementsThe HUD Code-required insulation levels can be expressed as a set of estimated envelope parameters to be used in REM/Rate’s user defined reference home function.. Using typical manufactured home sizes, these values are expressedincluded below along with federal standard baseline parameters below in REF _Ref387398559 \h Table 2114133.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 114133: ENERGY STAR Manufactured Homes - User Defined Reference HomeData PointValueSourceWallsU-valuefactor 0.0906, 7, 8CeilingsU-valuefactor 0.0456, 7, 8FloorU-valuefactor 0.0456, 7, 8WindowsU-valuefactor 0.596, 7, 8DoorsU-Valuefactor 0.336, 7, 8Air Infiltration Rate10 ACH5076Duct LeakageRESNET/HERSApproved model package default76Duct InsulationRESNET/HERSApproved model package default76Duct LocationSupply 100% manufactured home belly, Return 100% conditioned space98Mechanical Ventilation0.035 CFM/sqftft2 Exhaust87Lighting Systems0% CFL 10% pin based (Default assumption)Use baseline wattage as defined in the REF _Ref303086637 \h ENERGY STAR Lighting section. 10AppliancesUse DefaultUse baseline values as defined in applicable TRM measure for each appliance.7Setback Thermostat SetbackNon-Programmable thermostat76Temperature Set PointsHeating: 70°FCooling: 78°F1110Heating EfficiencyFurnace80% AFUE123Gas Fired Steam Boiler8082% AFUE123 Oil Fired Steam or Gas Fired Hot Water Boiler8284% AFUE123Oil Fired Steam Boiler85% AFUE3Oil Fired Hot Water Boiler8486% AFUE123Combo Water Heater76% AFUE (recovery efficiency)123Electric Resistance3.412 HSPF87ASHP, GSHP, PTHP, Ductless heat pumpSee New Construction values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \w \h \* MERGEFORMAT 2.2.1. For ductless heat pumps, use value for ASHP.Cooling Efficiency Central Air ConditioningAll types13.0 SEERSee New Construction values in REF _Ref531779526 \h \* MERGEFORMAT Table 28 in Sec. REF _Ref534371933 \w \h \* MERGEFORMAT 2.2.1. For ductless heat pumps, use value for ASHP.4 Air Source Heat Pump14.0 SEER4 Geothermal Heat Pump13.0 SEER (11.2 EER)4 PTAC / PTHPNot differentiated from central AC4 Window Air ConditionersNot differentiated from central AC4Domestic WH EfficiencyElectric≥20 gal and ≤55 gal: EFUEF = 0.969307 - 0.0003*(0002×(Vs)>55 gal and ≤120 gal: EFUEF = 2.0571171 - 0.00113*(0011×(Vs)Default = 0.9481311Natural Gas≥20 gal and ≤55 gal: EFUEF = 0.6756483 – (0.0015*0017×Vs)>55 gal and ≤100 gal: EFUEF = 0.80127897 – (0.00078*0004× Vs)Default = 0.615Vs: Rated Storage Volume – the water storage capacity of a water heater (in gallons)1412Additional Water Heater Tank InsulationNone1513Evaluation ProtocolsThe most appropriate evaluation protocol for this measure is verification of installation coupled with EDC data gathering.SourcesCalculation of annual energy and peak load consumption of a baseline home from the home energy rating tool based on the reference home energy characteristics.If the EER of the unit is known, use the EER. If only the SEER is known, then use SEER * BLEER to estimate the EER.Ratio to calculate EER from SEER based average EER for SEER 13 units.“Methodology for Calculating Cooling and Heating Energy Input-Ratio (EIR) from the Rated Seasonal Performance Efficiency (SEER OR HSPF)” (Kim, Baltazar, Haberl). April 2013 Accessed December 2018. HYPERLINK "" Code of Federal Register / October 31, 2011 / Rules and Regulations, 10 CFR Part 430, “2011-10-31 Subpart C, §430.32, “Energy Conservation Program for Consumer Products: Energy and Water Conservation Standards for Residential Furnaces and Residential Central Air Conditioners and Heat Pumps; Notice.” HYPERLINK "" \l "se10.3.430_132" . Current as of effective date and compliance dates for direct final rule.” HYPERLINK "" \l "!documentDetail;D=EERE-2011-BT-STD-0011-0058" November 13, 2018.SEER of HVAC unit in energy efficient qualifying home.SEER of HVAC unit in energy efficient qualifying home.Straub, Mary and Switzer, Sheldon.". "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011., 2011. p. 95. HYPERLINK "" STAR QUALIFIED MANUFACTURED HOMES-Guide for Retailers with instructions for installers and HVAC contractors / June 2007 / ( ))Electronic Code of Federal Regulations, 24 CFR Part 3280, Manufactured Home Construction and Safety Standards. HYPERLINK "" Accessed November 16, 2018.Standard manufactured home construction24 CFR Part 3280-MANUFACTURED HOMES CONSTRUCTION AND SAFETY STANDARD( HYPERLINK "" )Standard manufactured home constructionNot a requirement of the HUD Code.20092015 International Residential Code (IRC2009, Sections N1102-N1104)Federal Register / Vol. 73, No. 145 / Monday, July 28, 2008 / Rules and Regulations, p. 43611-43613, 10 CFR Part 430, “Energy Conservation Program for Consumer Products: Energy Energy Conservation Standards for Residential Furnaces and Boilers.”Code §R401-R404.US Federal Standards for Residential Water Heaters. Effective April 16, 2015. For a 40-gallon tank this is 0.948. . US Federal Standards for Residential Water Heaters. Effective April 16, 2015. For a 40-gallon tank this is 0.615 requirement in code or federal regulation.NREL, Northwest Energy Efficient Manufactured Housing Program Specification Development, T.Huges, B. Peeks February 2013. HYPERLINK "" Energy ReportsResidential Air SealingMeasure NameResidential Air SealingTarget SectorResidential EstablishmentsMeasure UnitResidential Air SealingHouseholdUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsSpecified in protocolVintageRetrofitVintageRetrofitThermal shell air leaks are sealed through strategic use and installation of air-tight materials. Leaks are detected and leakage rates measured with the assistance of a blower-door test. This measure applies to the sealing of thermal shell air leaks in existing residential homes or apartment units in multifamily complexes with a primary electric heating and/or cooling source.EligibilityThe baseline for this measure is the existing air leakage as determined through approved and appropriate test methods using a blower door. The baseline condition of a building upon first inspection significantly impacts the opportunity for cost-effective energy savings through air-sealing.Air sealing materials and diagnostic testing should meet all qualification criteria for program eligibility. The initial and final tested leakage rates should be performed in such a manner that the identified reductions can be properly discerned, particularly in situations where multiple building envelope measures may be implemented simultaneously.For example, if air sealing, duct sealing and insulation are all installed as a whole home retrofit, efforts should be made to isolate the CFM reductions from each measure individually. This may require performance of a blower door test between each measure installation. Alternatively, the baseline blower door test may be performed after the duct sealing is completed, then air sealing measures installed and the retrofit blower door test completed prior to installation of the new insulation.This measure is applicable to single family detached houses only.AlgorithmsTo calculate kWh/yr, add together the appropriate cooling and heating UES terms from REF _Ref389208554 \h \* MERGEFORMAT Table 2116 for use in the algorithm below. If a residence has gas heat with Central AC, use only the “Central AC Cooling” UES. If a residence has Electric Resistance heating (either baseboard or electric furnace) and no AC, use only the “Resistance Heating” UES.?kWh/yr = CFM50base-CFM50ee× UEScity, systemTo calculate kWpeak, select the appropriate cooling UDS term from REF _Ref410995149 \h \* MERGEFORMAT Table 2117 for use in the algorithm below. If a residence has no Air Conditioning, UDS will equal 0.?kWpeak=CFM50base-CFM50ee× UDScity, systemDefinition of TermsHome Energy Report (HER) programs encourage conservation through greater awareness of consumption patterns and engagement with EDC resources to help reduce usage and lower bills. HER program vendors provide participants with account-specific information that allows customers to view various aspects of their energy use over time. Behavioral reports compare energy use of recipient homes with clusters of similar homes and provide comparisons with other efficient and average homes. This so-called “neighbor” comparison is believed to create cognitive dissonance in participants and spur them to modify their behavior to be more efficient. Reports also include a variety of seasonally appropriate energy-saving tips that are tailored for the home and are often used to promote other EDC program offerings. Historically, HERs have been largely issued on paper via the USPS, but EDCs and their vendors are increasingly moving toward email reports and digital portals to promote increased engagement and conserve resources. This protocol applies to residential HER programs regardless of delivery mode.A growing list of evaluation studies, including analyses of HER persistence by the Phase II and Phase III Pennsylvania Statewide Evaluation team, have observed energy savings among HER recipient households for two years after HER exposure was discontinued. The persistence of HER savings has implications for calculation of first-year energy savings and cost-effectiveness. This protocol provides guidance to EDCs and their evaluation contractors for calculating first-year incremental savings and lifetime savings from HER programs using a multi-year measure life with “decay” perspective. This multi-year persistence perspective is a departure from prior phases of Act 129, which assumed a 1-year measure life for HER programs.Because Act 129 goals are based on first-year incremental savings, accounting for persistence will yield reduced first-year compliance savings from EDC programs that continue to expose the same homes to HER messaging year after year. The core assumption in this protocol is an annual decay rate of 31.3%. To illustrate the concept of decay consider a hypothetical cohort of 20,000 treatment group homes that have been receiving HERs for two years. REF _Ref530573453 \h Table 2134 shows the average kWh savings per treatment group home by year as measured through a billing analysis of the randomized control trial design. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 115134: Residential Air Sealing – Values and ReferencesTermUnitValuesSourceCFM50base , Baseline infiltration at 50 PaCFM50Measured, EDC Data GatheringCFM50ee, Infiltration at 50 Pa post air sealingCFM50Measured, EDC Data GatheringUEScity, system, Unit Energy Savings per CFM50 of air leakage reductionkWhyrCFM50See REF _Ref389208554 \h \* MERGEFORMAT Table 21161UDScity, system, Unit Demand Savings per CFM50 of air leakage reduction, coincident with PJM peakkWCFM50See REF _Ref410995149 \h Table 21172Default Unit: Home Energy and Demand Savings TablesReport Persistence ExampleSavings may be claimed using the algorithms above and the algorithm’s input default values below, in conjunction with customer-specific blower door test data. Site specific data from blower door testing is required to be used in conjunction with these default energy savings values, as outlined in the algorithms.YearAvg. kWh Savings per Home11502250For Year 3, the EDC can choose to either continue issuing HERs to the treatment group homes or stop treating them. If the EDC stops issuing HERs to the treatment group in Year 3, little or no cost will be incurred. If the EDC continues issuing HERs to the treatment group in Year 3, a full year of program delivery costs will be incurred. The key question is “what are the incremental energy savings associated with the decision to mail HERs in Year 3?” REF _Ref530573464 \h Table 2135 shows the components of this calculation.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 116135: Default Unit EnergyCalculation of Avoided Decay and Incremental Annual Compliance Savings per Reduced CFM50 for Air SealingYearAvg. kWh Savings per HomeAvg. kWh Savings Absent Year 3 TreatmentAvg. kWh Savings with Year 3 Treatment115022503250×(1-0.313/2) = 210.9260In this hypothetical example the incremental first-year savings achieved by the HER program in Year 3 is 49.1 kWh (260 – 210.9). This is the sum of two separate factors.Avoided Decay = 39.1 kWh. The avoided decay is the difference between the Year 2 savings and the assumed annual rate of decay. Because the decay rate is assumed to be linear the average amount of decay over the year is equal to half of the decay at the end of the year. The 210.9 kWh value in REF _Ref530573464 \h Table 2135 is an estimate of what would have happened absent any further program effort. Some kWh savings persist, but at a lower rate than observed in Year 2, when households were actively receiving HER messaging. By continuing to issue HERs in Year 3, the EDC avoids this savings decay.Change in the Average Treatment Effect = 10 kWh. The “Avg. kWh Savings with Year 3 Treatment” column of REF _Ref530573464 \h Table 2135 shows an average kWh savings value of 260 kWh per household. This is an increase of 10 kWh over the Year 2 measurement of 250 kWh per household. Many HER programs show growth in the average rate of savings over time as participants continue to respond to the messaging. This component of the calculation of the calculation could also be negative if the Year 3 savings measurement was smaller than the Year 2 measurement. HER savings can fluctuate based on weather and the measurement is inherently noisy because of the small effect size.The following algorithms and default assumptions provide guidance on calculating and reporting compliance savings from HER programs in Phase IV of Act 129. Several assumptions that straddle technical and policy considerations are listed below.The change in perspective from a 1-year EUL to a multi-year with decay approach creates an issue of unaccounted for lifetime savings from Phase III HER programs. Specifically, HER cohorts that were active in PY12 will be assumed to have persistent savings in PY13 even though persistent savings were not accounted for in Phase III TRC calculations. This is unavoidable with a change in accounting methods and best handled at the beginning of a Phase IV. It has no bearing on Phase III compliance savings. The assumed annual rate of decay for Act 129 HER programs is based on an analysis of mature programs where treatment group homes received HER messaging for multiple years. Studies have also consistently shown that it takes time for HER savings to mature. For Phase IV of Act 129, new HER cohorts will continue to assume a 1-year EUL during the first year of HER exposure. The persistence and decay assumptions outlined in this protocol will take effect for Year 2 of exposure. Years of exposure are mapped to Act 129 program years. If a cohort begins receiving HER messaging in December (halfway through the program year), that program year is still Year 1, and the following program year is Year 2 with regard to application of persistence assumptions. Act 129 HER programs should always be delivered as a randomized control trial (RCT), but EDCs have significant flexilbility in designing new HER cohorts. New cohorts can be composed of a mix of past HER recipients and control group homes or non-recipients. Randomization should ensure a balanced mix across the new treatment and control group and the billing analysis will capture the savings associated with exposing the new treatment group to HERs, but not the control group. When a new cohort is created, accounting always begins at Year 1, even if some of the treatment and control group homes have received HER messaging previously.Over time, households close their EDC accounts. The most common reason is because the occupant is moving, but other possibilities exist. This account “churn” happens at a fairly predictable rate for an EDC service territory and can be forecasted with some degree of certainty. Calculating persistent HER savings in future program years requires both an assumption of the savings decay rate and an assumption of the churn rate.AlgorithmsThe equations for incremental first-year savings from HER programs are:Year 1 and 2 of HER Exposure:?kWhY = ATE* Treatment Accounts*Days Where ATE is the average daily savings determined through a billing regression analysis, minus the average daily uplift (kWh/day). The uplift of the HER program is determined by examining the cumulative difference in other EE program savings between the treated population and the control group since the inception of the HER cohort. If an EDC elects to treat an HER cohort for a 3rd year or beyond the equation for incremental first-year savings is:Year 3 and Beyond of HER Exposure:?kWhY =ATE- ATE Y-1* 1-Decay2* Treatment Accounts*DaysThe equations for calculating lifetime savings from a program year of HER exposure are given below. For Year 1, the lifetime savings are equal to the first-year savings. For the Year 2 and beyond of HER exposure the lifetime savings include both the savings measured at the meter via billing analysis and persistent savings from future program years. The equations below do not include the discount rate, but EDC evaluation contractors should use an approved discount rate to calculate the net present value of future savings when performing the TRC test. Year 1 of HER Exposure (where Y = 1):?kWhY, lifetime = ATE* Treatment Accounts*Days Year 2 and Beyond of HER Exposure (where Y >= 2):?kWhY, lifetime = ?kWhY* 1+X=1X=31-Decay*X-0.5*1-ChurnXFor year two and onwards, the lifetime savings are simply a function of the decay rate and customer churn assumption, accounted for the current year and across the three future years where savings persist. In this case, it may be helpful to consider the sum in the formula above a scalar that adjusts that program year’s savings. For example, in a hypothetical program with 200 kWh of total incremental annual savings in its second year of program delivery, the lifetime savings associated with the second year of program year delivery would be 200 * 2.44 = 488kWh, where the 2.44 factor is the ratio of the lifetime savings to the incremental first-year savings. The 2.44 approximation factor is valid for programs that rely on the default decay and churn assumptions. EDCs that use the ‘EDC Data Gathering’ option for one or both of these parameters would need to calculate the appropriate lifetime:first-year ratio for the parameter values selected. Definition of TermsCityUEScity, systemAir Source Heat PumpElectric ResistanceGround Source Heat PumpASHP CoolingASHP HeatingCentral AC CoolingResistance HeatingGSHP CoolingGSHP HeatingAllentown0.02301.23400.02772.25680.00540.8389Erie0.01141.59130.01632.64530.00.9851Harrisburg0.03221.05290.03772.01760.00980.7432Philadelphia0.05480.90900.06211.83480.02210.6644Pittsburgh0.02001.34830.02442.21120.00230.8190Scranton0.01251.30740.01632.23800.00.8341Williamsport0.01551.27120.01992.17160.00.8052Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 117136: Default Unit Coincident Peak Demand Savings per Reduced CFM50 for Air Sealing: Terms, Values, and References for HER Persistence ProtocolCityUDScity, systemASHP CoolingCentral AC CoolingGSHP CoolingAllentown0.0000420.0000450.000018Erie0.0000250.0000260.000004Harrisburg0.0000540.0000580.000025Philadelphia0.0000610.0000660.000030Pittsburgh0.0000400.0000430.000015Scranton0.0000310.0000340.000007Williamsport0.0000360.0000390.000014Evaluation ProtocolsThe appropriate evaluation protocol for this measure is desk audit verification that the pre and post blower door tests were performed in accordance with industry standards. Verification through desk audits require confirmation of the proper application of the TRM protocol using default unit energy and demand savings values in coordination with blower door test results. Field verification of each test or re-test is not required.SourcesBased on BEopt Modeling with EnergyPlus performed by GDS Associates. UES values were calculated by modeling a prototypical Pennsylvania single family detached house with statewide average characteristics determined through the 2014 Pennsylvania Residential Baseline Study. Three different heating/cooling combinations (ASHP, Central AC with resistance heating, and GSHP) were separately modeled and a simulation of each combination was performed at four levels of air leakage (3, 7, 11, and 15 ACH50). The heating and cooling results at the four air leakage levels for each heating/cooling combination were then fitted with linear regressions, the slopes of which are the UES values (units of kWhyrCFM50 ). This procedure was performed for each city using the statewide prototypical Pennsylvania house and the appropriate TMY3 weather file for that city. Based on BEopt Modeling with EnergyPlus performed by GDS Associates. UDS values were calculated by modeling a prototypical Pennsylvania single family detached house with statewide average characteristics determined through the 2014 Pennsylvania Residential Baseline Study. Three different heating/cooling combinations (ASHP, Central AC with resistance heating, and GSHP) were separately modeled and a simulation of each combination was performed at four levels of air leakage (3, 7, 11, and 15 ACH50). The coincident peak cooling demand results at the four air leakage levels for each heating/cooling combination were then fitted with linear regressions, the slopes of which are the UDS values (units of kWCFM50 ). This procedure was performed for each city using the statewide prototypical Pennsylvania house and the appropriate TMY3 weather file for that city. UDS represent coincident peak demand savings, thus the coincidence factor is already incorporated into the values.Crawl Space Wall InsulationMeasure NameCrawl Space InsulationParameterUnitValueSource?kWhY, kWh savings per home in the program year being evaluatedTotal Incremental Annual kWh Savings of an HER cohortEDC Data GatheringEDC Data GatheringATE Average Treatment Effect, net of Daily UpliftkWh/day per householdEDC Data GatheringEDC Data GatheringTreatment Accounts, number of active homes in the treatment group Households (EDC account number)EDC Data GatheringEDC Data GatheringDays , average number of post-treatment days in the analysis period per householdDaysEDC Data GatheringEDC Data GatheringDecay, Annual rate of decay of the HER effect when exposure is discontinued-Default: 31.3%1EDC Data GatheringChurn, Average annual reduction in participating households due to account closures, move-out etc.-Default: 6%2EDC Data GatheringEvaluation ProtocolsThis protocol deals with the measure life and persistence aspects of HER programs. Chapter 6.1 of the Pennsylvania Evaluation Framework provides detailed guidance on other aspects of HER evaluation protocols.SourcesPennsylvania Statewide Evaluation Team. Residential Behavioral Program Persistence Study. HYPERLINK "" SWE Analysis of average annual churn rate among Phase III EDC cohorts.MiscellaneousVariable Speed Pool PumpsTarget SectorResidential EstablishmentsMeasure UnitVFD Pool PumpsMeasure Life10 yearsSource 4VintageReplace on BurnoutIn this measure a variable speed pool pump must be purchased and installed on a residential pool to replace an existing constant speed pool pump. Residential variable frequency drive pool pumps can be adjusted so that the minimal required flow is achieved for each application. Reducing the flow rate results in significant energy savings because pump power and pump energy usage scale with the cubic and quadratic powers of the flow rate respectively. Additional savings are achieved because the VSD pool pumps typically employ premium efficiency motors.EligibilityTo qualify for this rebate a variable speed pool pump must be purchased and installed on a residential pool to replace an existing constant speed pool pump.AlgorithmsThis protocol documents the energy savings attributed to variable frequency drive pool pumps in various pool sizes. The target sector primarily consists of single-family residences. There are no demand savings for this measure.kWh= kWhbase – kWhVFDkWhbase =HOUss×kWss× DayskWhVFD=HOU VFD, clean×kW VFD, clean+HOU VFD, filter×kW VFD, filter× Measure UnitInsulation AdditionUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsVintageRetrofitA residential crawl space is a structural foundation that is tall enough for a person to crawl within the space to perform any necessary maintenance. This measure protocol applies to the installation of insulation in the crawl space walls of residential homes. The baseline is a crawl space that has no insulation.EligibilityThis measure protocol applies to the installation of insulation in the unvented crawl space walls of residential homes. Research has shown that vented crawlspaces that are sealed and insulated operate similarly to basements in providing benefits such as energy savings, comfort, moisture control, long-term durability, and healthier air quality. Sealing the crawl space must follow the required PA building codes, including covering the Earth with a Class I vapor retarder and providing ventilation of at least 1cfm per 50 ft2 of crawlspace. In addition, sealing of the crawlspace must not block access to the space. The insulation should have either a minimum R-10 continuous insulated sheathing on the interior or exterior of the home, or R-13 cavity insulation at the interior of the crawl space wall.AlgorithmsSavings are due to a reduction in cooling and heating requirements due to insulation.kWh/yr=kWhcool+ kWhheatkWhcool=1Rbase-1Rbase+Ree× L×Hag×1-FF×CDD×24×DUA1000×SEERkWhheat=1Rbase-1Rbase+Ree×Hag+1Rbase+REarth-1Rbase+REarth+Ree×Hbg×L×1-FF×HDD×243412×heat×AF?kWpeak=kWhcoolEFLHcool×CFDefinition of TermsDayskW= kWss-kWhVFDHOU VFD, clean+HOU VFD, filter×Days×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 118137: Assumptions for Residential Crawl Space Insulation: Terms, Values, and References for Variable Speed Pool PumpsTermUnitValuesSourceRbase, baseline R-value of foundation wall°F-ft2-h/BtuEDC Data GatheringDefault = 1.731REarth, average R-value for the thermal resistance of the Earth at the height of insulated crawlspace wall below grade (Hbg)°F-ft2-h/Btu REF _Ref413166561 \h Table 21192Ree, R-value of installed spray foam, rigid foam, or cavity insulation applied to crawlspace wall°F-ft2-h/BtuEDC Data GatheringEDC Data GatheringL, length of crawlspace wall around the entire insulated perimeterftEDC Data GatheringEDC Data GatheringHag, height of insulated crawlspace wall above gradeftEDC Data GatheringEDC Data GatheringHbg, height of insulated crawlspace wall below gradeftEDC Data GatheringEDC Data GatheringFF, framing factor, adjustment to account for area of framing when cavity insulation is usedFractionSpray foam : 0.0External rigid foam: 0.0Studs and cavity insulation: 0.25324, conversion factorhours/day24CDD, cooling degree days°F-day REF _Ref406702095 \h \* MERGEFORMAT Table 21204HDD, heating degree days°F-day REF _Ref406702095 \h \* MERGEFORMAT Table 21204DUA, Discretionary Use Adjustment, adjustment for times when AC is not operating even though conditions may call for itFraction0.7551000, conversion factorBtu/kBtu1000SEER, Seasonal Energy Efficiency Ratio of cooling system BtuW?hEDC Data GatheringDefault = 11 (Central A/C) or12 (ASHP)6heat, efficiency of heating systemFractionEDC Data Gathering REF _Ref406702125 \h \* MERGEFORMAT Table 21226AF, adjustment factor, accounts for prescriptive engineering algorithms overestimating savingsFraction0.887EFLHcool, equivalent full-load hours of air conditioninghoursEDC Data Gathering REF _Ref406702095 \h \* MERGEFORMAT Table 21208CF, coincidence factorFractionCentral AC: 0.647Room AC: 0.30ASHP: 0.647GSHP: 0.6479, 10Default Savings REF _Ref413166561 \h Table 2119 should be used to determine the average thermal resistance of the Earth (REarth) at the height of crawlspace wall below grade (Hbg). Use a crawlspace wall that is 5ft in height as an example of proper use of the table. If the crawlspace wall is 5 ft in height and 1ft is above grade (Hag = 1ft), then the remaining 4ft are below grade (Hbg = 4ft). To determine the REarth for that below-grade wall height, look for the column for Hbg = 4ft in REF _Ref413166561 \h Table 2119. REarth in this example is therefore 6.42 °F-ft2-h/BTU.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 119: Below-grade R-valuesHbg (ft)012345678REarth (°F-ft2-h/BTU)2.443.474.415.416.427.468.469.5310.69Insulation in unconditioned spaces (standard crawlspace) is modeled by reducing the degree days to reflect the smaller but non-zero contribution to heating and cooling load.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 120: CDD by CityCityConditioned SpaceCDD (Base 65°F)Unconditioned SpaceCDD (Base 75°F)Allentown787317Erie620173Harrisburg955337Philadelphia1235292Pittsburgh726249Scranton611222Williamsport709256Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 121: HDD by CityCityConditioned SpaceHDD (Base 65°F)Unconditioned SpaceHDD (Base 50°F)Allentown58302439Erie62432883Harrisburg52012250Philadelphia47592406Pittsburgh58292552Scranton62342806Williamsport60632684Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 122: Efficiency of Heating SystemSystem TypeHSPF EstimateheatEffective COP Estimate(HSPF/3.412)*0.85Heat Pump6.91.7ResistanceN/A1Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 123: EFLH by CityCityEFLHcool(Hours)Allentown487Erie389Harrisburg551Philadelphia591Pittsburgh432Scranton417Williamsport422Evaluation 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.Sources2009 ASHRAE Fundamentals, Chapter 25 and 26. Method from “Total Thermal Resistance of a Flat Building Assembly” in Chapter 25. Values from Chapter 26: interior air film = 0.68, 7" concrete or CMU wall = 0.88, exterior air film = 0.17. Total= 1.73 °F-ft2-h/Btu ASHRAE Fundamentals Handbook, 1977. Adapted from Table 1, page 24.4 ASHRAE Fundamentals Handbook, 2009. Adapted from Chapter 27, page 27.4Climatography of the United States No. 81. Monthly Station Normals of Temperature, Precipitation, and Heating and Cooling Degree Days, 1971-2000, 36 Pennsylvania. NOAA. HYPERLINK "" Center of Wisconsin, May 2008 metering study; “Central Air Conditioning in Wisconsin, A Compilation of Recent Field Research”, p31. HYPERLINK "" Pennsylvania Residential Baseline Study. HYPERLINK "" An 85% distribution efficiency is then applied to account for duct losses for heat pumps.“Home Energy Services Impact Evaluation”, August 2012. Based on comparing algorithm derived savings estimate and evaluated bill analysis estimate. HYPERLINK "" , “Verifying ACCA Manual S Procedures,” HYPERLINK "" Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners. Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008. HYPERLINK "" Joist InsulationMeasure NameRim Joist InsulationTarget SectorResidential EstablishmentsMeasure UnitInsulation AdditionUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life15 yearsVintageRetrofitResidential rim joists are often left uninsulated, leading to inefficiencies in cooling and heating. This measure protocol applies to the installation of insulation in the rim joists of residential homes. The baseline is a rim joist that has no insulation.EligibilityThis measure protocol applies to the installation of insulation in the rim joists of residential homes. This includes the rim joists of unvented crawlspaces and the rim joists between the first and second floor of a residence. The insulation should have either a minimum R-10 continuous insulated sheathing on the interior or exterior of the home, or R-13 cavity insulation at the interior of the rim joist., Because of the difficulty of a proper air-sealed installation, using fiberglass batts between the joists is not usually recommended. The insulation should be sprayed foam or rigid foam.AlgorithmsSavings are due to a reduction in cooling and heating requirements resulting from insulation addition.kWh/yr=kWhcool+ kWhheatkWhcool=1Rbase-1Rbase+Ree× L×H×CDD×24×DUA1000×SEERkWhheat=1Rbase-1Rbase+Ree×L×H×HDD×243412×heat×AF?kWpeak=kWhcoolEFLHcool×CFDefinition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 124: Default values for algorithm terms, Residential Rim Joist InsulationTermUnitValuesSourceRbase, baseline R-value of rim joist°F-ft2-h/BtuEDC Data GatheringDefault = 2.501Ree, R-value of installed spray foam or rigid foam insulation applied to rim joist°F-ft2-h/BtuEDC Data GatheringEDC Data GatheringL, length of rim joist around the entire insulated perimeterftEDC Data GatheringEDC Data GatheringH, height of insulated rim joistftEDC Data GatheringEDC Data Gathering24, conversion factorhours/day24CDD, cooling degree days°F-day REF _Ref413167103 \h \* MERGEFORMAT Table 21252HDD, heating degree days°F-day REF _Ref413167089 \h \* MERGEFORMAT Table 21262DUA, Discretionary Use Adjustment, adjustment for times when AC is not operating even though conditions may call for itNone0.7531000, conversion factorBtu/kBtu1000SEER, Seasonal Energy Efficiency Ratio of cooling system BtuW?hEDC Data GatheringDefault = 11 (Central A/C) or12 (ASHP)4heat, efficiency of heating systemNoneEDC Data Gathering REF _Ref413167067 \h \* MERGEFORMAT Table 21274AF, adjustment factor, accounts for prescriptive engineering algorithms overestimating savingsNone0.885EFLHcool, equivalent full-load hours of air conditioninghoursEDC Data Gathering REF _Ref413167039 \h \* MERGEFORMAT Table 21286CF, coincidence factorDecimalCentral AC: 0.647Room AC: 0.30ASHP: 0.647GSHP: 0.6477, 8Default SavingsInsulation in unconditioned spaces (standard crawlspace) is modeled by reducing the degree days to reflect the smaller but non-zero contribution to heating and cooling load.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 125 CDD by CityCityConditioned SpaceCDD (Base 65°F)Unconditioned SpaceCDD (Base 75°F)Allentown787317Erie620173Harrisburg955337Philadelphia1235292Pittsburgh726249Scranton611222Williamsport709256Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 126: HDD by CityCityConditioned SpaceHDD (Base 65°F)Unconditioned SpaceHDD (Base 50°F)Allentown58302439Erie62432883Harrisburg52012250Philadelphia47592406Pittsburgh58292552Scranton62342806Williamsport60632684Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 127: Efficiency of Heating SystemSystem TypeHSPF EstimateheatEffective COP Estimate(HSPF/3.412)*0.85Heat Pump6.91.7ResistanceN/A1Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 128: EFLH by CityCityEFLHcool(Hours)Allentown487Erie389Harrisburg551Philadelphia591Pittsburgh432Scranton417Williamsport422Evaluation 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.Sources2009 ASHRAE Fundamentals, Chapter 25 and 26. Method from “Total Thermal Resistance of a Flat Building Assembly” in Chapter 25. Values from Chapter 26: interior air film = 0.68, 1.5" wooden rim joist = 1.65, exterior air film = 0.17. Total= 2.50 °F-ft2-h/BTU Climatography of the United States No. 81. Monthly Station Normals of Temperature, Precipitation, and Heating and Cooling Degree Days 1971-2000, 36 Pennsylvania. NOAA. HYPERLINK "" Center of Wisconsin, May 2008 metering study; “Central Air Conditioning in Wisconsin, A Compilation of Recent Field Research”, p31. HYPERLINK "" Pennsylvania Residential Baseline Study. HYPERLINK "" An 85% distribution efficiency is then applied to account for duct losses for heat pumps.“Home Energy Services Impact Evaluation”, August 2012. Based on comparing algorithm derived savings estimate and evaluated bill analysis estimate. HYPERLINK "" , “Verifying ACCA Manual S Procedures,” HYPERLINK "" Based on REM/Rate modeling using models from the PA 2012 Potential Study. EFLH calculated from kWh consumption for cooling and heating. Models assume 50% over-sizing of air conditioners. Straub, Mary and Switzer, Sheldon. "Using Available Information for Efficient Evaluation of Demand Side Management Programs". Study by BG&E. The Electricity Journal. Aug/Sept. 2011. HYPERLINK "" RLW Report: Final Report Coincidence Factor Study Residential Room Air Conditioners, June 23, 2008. HYPERLINK "" Pump Load ShiftingMeasure NamePool Pump Load ShiftingTarget SectorResidential EstablishmentsMeasure UnitPool Pump Load ShiftingUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life1 yearVintageRetrofitResidential pool pumps can be scheduled to avoid the 2 PM to 6 PM peak period.EligibilityThis protocol documents the energy savings attributed to schedule residential single speed pool pumps to avoid run during the peak hours from 2 PM to 6 PM. The target sector primarily consists of single-family residences. This measure is intended to be implemented by trade allies that participate in in-home audits, or by pool maintenance professionals.AlgorithmsThe residential pool pump reschedule measure is intended to produce demand savings, but if the final daily hours of operation are different than the initial daily hours of operation, an energy savings (or increase) may result. The demand savings result from not running pool pumps during the peak hours of 2 PM to 6 PM. kWh/yr =?hoursday× Daysoperating × kWpumpkWpeak = (CFpre - CFpost)× kWpumpThe peak coincident factor, CF, is defined as the average coincident factor during 2 PM to 6 PM on summer weekdays. Ideally, the demand coincidence factor for the supplanted single-speed pump can be obtained from the pump’s time clock. The coincidence factor is equal to the number of hours that the pump was set to run between 2 PM and 6 PM, divided by 4. Definition of TermsTable STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 129: Pool Pump Load Shifting AssumptionsComponentUnitValueSourcehours/day , The change in daily operating hours.hoursday02kWpump , Electric demand of single speed pump at a given flow rate. This quantity should be measured or taken from REF _Ref364423999 \h \* MERGEFORMAT Table 2129kW1.364 kW or See REF _Ref364158106 \h \* MERGEFORMAT Table 2130 REF _Ref364158106 \h \* MERGEFORMAT Table 2130CFpre , Peak coincident factor of single speed pump from 2 PM to 6 PM in summer weekday prior to pump rescheduling. This quantity should be inferred from the timer settingsDecimal0.3063CFpost , Peak coincident factor of single speed pump from 2 PM to 6 PM in summer weekday after pump rescheduling. This quantity should be inferred from the new timer settings. Decimal0.02Daysoperating , Days per year pump is in operation. This quantity should be recorded by applicant.daysyr1221HOUSS , Hours of operation per day for Single Speed Pump. This quantity should be recorded by the applicant. hoursdayEDC Data GatheringDefault = 11.42HOUVFD,filter , Hours of operation per day for Variable Frequency Drive Pump on filtration mode.hoursdayEDC Data GatheringDefault = 10.02HOUVFD,clean , Hours of operation per day for Variable Frequency Drive Pump on cleaning mode.hoursdayEDC Data GatheringDefault = 2.02Days , Pool pump days of operation per year. daysyr1222kWSS , Electric demand of single speed pump at a given flow rate. This quantity should be recorded by the applicant or looked up through the horsepower in REF _Ref364158269 \h \* MERGEFORMAT Table 2138. KilowattsEDC Data GatheringDefault =1.364 kW or See REF _Ref364158269 \h \* MERGEFORMAT Table 21381 or REF _Ref364158269 \h \* MERGEFORMAT Table 2138kWVFD, filter , Electric demand of variable frequency drive pump during filtration mode.KilowattsEDC Data GatheringDefault = 0.252kWVFD, clean , Electric demand of variable frequency drive pump during cleaning mode.KilowattsEDC Data GatheringDefault = 0.752CF, Coincidence factorNoneEDC Data GatheringDefault = 0.314Average Single Speed Pump Electric DemandSince this measure involves functional pool pumps, actual measurements of pump demand are encouraged. If this is not possible, then the pool pump power can be inferred from the nameplate horsepower. REF _Ref373318619 \h \* MERGEFORMAT Table 2130 REF _Ref364174773 \h \* MERGEFORMAT Table 2138 shows the average service factor (over-sizing factor), motor efficiency, and electrical power demand per pump size based on California Energy Commission (CEC) appliance database for single speed pool pump..Source 1 Note that the power to horsepower ratios appear high because many pumps, in particular those under 2 HP, have high ‘service factors’. The true motor capacity is the product of the nameplate horsepower and the service factor.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 130138: Single Speed Pool Pump SpecificationPump Horse Power (HP)Average Pump Service FactorAverage Pump Motor EfficiencyAverage Pump Power (kW)0.501.620.660.9460.751.290.651.0811.001.280.701.3061.501.190.751.5122.001.200.782.0402.501.110.772.1823.001.210.792.666Evaluation ProtocolThe most appropriate evaluation protocol for this measure is verification of pool pump run time as well as verification of hours of operation coincident with peak demand.SourcesENERGY STAR Pool Pump Calculator. Updated December 2013. Days of operation are for Pennsylvania (4 months/yr).Program is designed to shift load to off-peak hours, not necessarily to reduce load.Derived from Pool Pump and Demand Response Potential, DR 07.01 Report, SCE Design and Engineering, Table 16. Calculated using the average of the 3 regions. The pool pump operating schedule is not weather dependent, but operator dependent. This is noted on page 22, paragraph 2 of the source. HYPERLINK "" Variable Speed Pool Pumps (with Load Shifting Option)Measure NameResidential VSD Pool PumpsTarget SectorResidential EstablishmentsMeasure UnitVFD Pool PumpsUnit Energy SavingsVariableUnit Peak Demand ReductionVariableMeasure Life10 yearsVintageReplace on BurnoutThis measure has two potential components. First, a variable speed pool pump must be purchased and installed on a residential pool to replace an existing constant speed pool pump. Second, the variable speed pool pump may be commissioned such that it does not operate in the 2 PM to 6 PM period (on weekdays). This second, optional step is referred to as load shifting. Residential variable frequency drive pool pumps can be adjusted so that the minimal required flow is achieved for each application. Reducing the flow rate results in significant energy savings because pump power and pump energy usage scale with the cubic and quadratic powers of the flow rate respectively. Additional savings are achieved because the VSD pool pumps typically employ premium efficiency motors. Since the only difference between the VSD pool pump without load shifting and VSD pool pump with load shifting measures pertains to the pool pump operation schedule, this protocol is written in such that it may support both measures at once.EligibilityTo qualify for the load shifting rebate, the pumps are required to be off during the hours of 2 PM to 6 PM weekdays. This practice results in additional demand reductions. AlgorithmsThis protocol documents the energy savings attributed to variable frequency drive pool pumps in various pool sizes. The target sector primarily consists of single-family residences.kWh/yr = kWh/yrbase - kWh/yrVFDkWh/yrbase =HOU ss×kW ss× DayskWh/yrVFD =HOU VFD, clean×kW VFD, clean+HOU VFD, filter×kW VFD, filter× DaysThe demand reductions are obtained through the following formula:kWpeak = kWbasepeak - kWVFDpeakkWbasepeak = (CFSS × kWSS) kWVFDpeak = HOU peak, clean×kW VFD, clean+HOU peak, filter×kW VFD, filter4 hours×CFVFDThe peak coincidence factor, CF, is defined as the average coincidence factor during 2 PM to 6 PM on summer weekdays. Ideally, the demand coincidence factor for the supplanted single-speed pump can be obtained from the pump’s time clock. The coincidence factor is equal to the number of hours that the pump was set to run between 2 PM to 6 PM, divided by 4. If this information is not available, the recommended daily hours of operation to use are 5.18 and the demand coincidence factor is 30.6%. These operation parameters are derived from the 2011 Mid Atlantic TRM.Definition of TermsThe parameters in the above equation are listed below. Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 131: Residential VFD Pool Pumps Calculations AssumptionsComponentUnitValuesSourceHOUSS , Hours of operation per day for Single Speed Pump. This quantity should be recorded by the applicant. hoursdayEDC Data GatheringDefault = 11.42HOUVFD,filter , Hours of operation per day for Variable Frequency Drive Pump on filtration mode. This quantity should be recorded by the applicant.hoursdayEDC Data GatheringDefault = 10.02HOUVFD,clean , Hours of operation per day for Variable Frequency Drive Pump on cleaning mode. This quantity should be recorded by the applicant.hoursdayEDC Data GatheringDefault = 22Days , Pool pump days of operation per year. daysyr1222kWSS , Electric demand of single speed pump at a given flow rate. This quantity should be recorded by the applicant or looked up through the horsepower in REF _Ref364158269 \h \* MERGEFORMAT Table 2132. KilowattsEDC Data GatheringDefault =1.364 kW or See REF _Ref364158269 \h \* MERGEFORMAT Table 21321 and REF _Ref373318619 \h \* MERGEFORMAT Table 2130 or REF _Ref364158269 \h \* MERGEFORMAT Table 2132kWVFD, filter , Electric demand of variable frequency drive pump during filtration mode. This quantity should be measured and recorded by the applicant.KilowattsEDC Data GatheringDefault = 0.252kWVFD, clean , Electric demand of variable frequency drive pump during cleaning mode. This quantity should be measured and recorded by the applicant.KilowattsEDC Data GatheringDefault = 0.752HOUpeak,filter , Average daily hours of operation during peak period (between 2pm and 6pm) for Variable Frequency Drive Pump on filtration mode. This quantity should be recorded by the applicant.hoursdayEDC Data GatheringDefault = 44HOUpeak,clean , Average daily hours of operation during peak period (between 2pm and 6pm) for Variable Frequency Drive Pump on cleaning mode. This quantity should be recorded by the applicant.hoursdayEDC Data GatheringDefault = 04CFSS , Peak coincident factor of single speed pump from 2 PM to 6 PM in summer weekday. This quantity can be deduced from the pool pump timer settings for the old pump. FractionEDC Data GatheringDefault= 0.3065CFVFD , Peak coincident factor of VFD pump from 2 PM to 6 PM in summer weekday. This quantity should be inferred from the new timer settings. FractionEDC Data GatheringAverage Single Speed Pump Electric DemandSince this measure involves functional pool pumps, actual measurements of pump demand are encouraged. If this is not possible, then the pool pump power can be inferred from the nameplate horsepower. REF _Ref364174773 \h \* MERGEFORMAT Table 2132 shows the average service factor (over-sizing factor), motor efficiency, and electrical power demand per pump size based on California Energy Commission (CEC) appliance database for single speed pool pump. Note that the power to horsepower ratios appear high because many pumps, in particular those under 2 HP, have high ‘service factors’. The true motor capacity is the product of the nameplate horsepower and the service factor.Table STYLEREF 1 \s 2 SEQ Table \* ARABIC \s 1 132: Single Speed Pool Pump SpecificationPump Horse Power (HP)Average Pump Service FactorAverage Pump Motor EfficiencyAverage Pump Power (kW)0.501.620.660.9460.751.290.651.0811.001.280.701.3061.501.190.751.5122.001.200.782.0402.501.110.772.1823.001.210.792.666Electric Demand and Pump Flow RateThe electric demand on a pump is related to pump flow rate, pool hydraulic properties, and the pump motor efficiency. For VFD pumps that have premium efficiency (92%) motors, a regression is used to relate electric demand and pump flow rates using the data from Southern California Edison’s Innovative Designs for Energy Efficiency (InDEE) Program. This regression reflects the hydraulic properties of pools that are retrofitted with VSD pool pumps. The regression is:Demand (W) = = 0.0978f2 + 10.989f +10.281Where f is the pump flow rate in gallons per minute. This regression can be used if the flow rate is known but the wattage is unknown. However, most VFD pool pumps can display instantaneous flow and power. Power measurements or readings in the final flow configuration are encouraged.Default SavingsThe energy savings and demand reductions are prescriptive according to the above formulae. All other factors held constant, the sole difference between quantifying demand reductions for the VSD Pool Pump and the VSD Pool Pump with Load Shifting measures resides in the value of the parameter CFVFD.Default energy and demand savings are as follows:ΔkWh = 1,409 kWhΔkW = 0.3195 kWEvaluation ProtocolThe most appropriate evaluation protocol for this measure is verification of installation coupled with survey on run time and speed settings. It may be helpful to work with pool service professionals in addition to surveying customers to obtain pump settings, as some customers may not be comfortable operating their pump controls. Working with a pool service professional may enable the evaluator to obtain more data points and more accurate data.Sources“CEC Appliances Database – Pool Pumps.” California Energy Commission. Updated Feb 2008. Accessed March 2008. HYPERLINK "%20http"" STAR Pool Pump Calculator. Updated December 2013. kW values are derived from gallons/minute and Energy Factor (gallons/Wh) for each speed. Days of operation are for Pennsylvania (4 months/yr). HYPERLINK "" default value for HOUVFD,clean is set to zero so that in the absence of multiple VFD mode data the algorithms reduce to those found in the 2014 Pennsylvania TRM (which only have one variable for HOUVFD and kWVFD). The Default values for HOUpeak,filter and HOUpeak,clean are given as 4 and 0, respectively, to collapse the formula to [ kWVFDpeak = kWVFDfilter x CFVFD ] in the absence of the additional necessary data.California Public Utilities Commission Database for Energy Efficient Resources (DEER) EUL Support Table for 2020, HYPERLINK "" . Accessed December 2018.Derived from values for 2pm-6pm for all pool pumps in Pool Pump and Demand Response Potential, DR 07.01 Report, SCE Design and Engineering, Table 16. HYPERLINK "" Demand ResponseThe primary focus of this section of the TRM is to provide technical guidance for estimating the load impacts of demand response programs. The methods discussed are aimed at providing accurate estimates of the true load impacts at the program level. EDCs and CSPs may use alternate methods for quarterly reporting of ex ante impacts or to calculate financial settlements with participating customers, but the methods detailed in the TRM should be used to verify achievement of Phase IV demand reduction targets. In some instances, the analysis may be carried out at the individual customer level, however, the outcome of interest is the aggregate load reduction (MW) that is caused by the program.Direct Load Control and Behavior-Based Demand Response ProgramsTarget SectorResidential EstablishmentsMeasure UnitN/AMeasure LifeDirect Load Control: 11 yearsBehavioral DR: 1 yearMeasure VintageN/AThe protocols for Act 129 covering Direct Load Control (DLC) and Behavior-Based demand response programs are intended to give guidance to the EDCs when dispatching and evaluating the load impacts of an event over the course of Phase IV. In these programs, residential and small commercial customers either allow EDCs to remotely reduce equipment run time during peak hours (DLC programs) or reduce their loads voluntarily in response to a combination of incentive payments, messaging and/or other behavioral stimuli. Behavior-based demand response programs are ones that have a goal of reducing electric load during peak load hours. Examples of behavior-based demand response programs include utility programs that request customers to reduce electric loads during peak load hours voluntarily, programs where customers are provided with real-time information on the cost of electricity and can then take action voluntarily to reduce electric loads during high cost hours and other similar information programs. For purposes of the Pennsylvania TRM, behavior-based demand response programs do not include utility information programs that are based on consumer education or marketing and have a goal of reducing electricity use on a year round basis, including non-peak load hours.For DLC programs, the participants may elect to receive incentive payments for allowing a signaled device to control or limit the power draw of certain HVAC, electric water heating, or swimming pool pump equipment at a participant’s home, contributing to the reduction of peak demand. For measurement purposes, peak demand reductions are defined as the difference between a customer’s actual (measured) electricity demand, and an estimate of the amount of electricity the customer would have demanded in the absence of the program incentive. The estimate of this counterfactual outcome is referred to as the reference load throughout this protocol.EDCs must use one of the evaluation approaches below when estimating peak period load reductions that result from DLC and behavior-based programs. The approaches are not equivalent in terms of their ability to produce accurate and robust results and are therefore listed in descending order of desirability. Because of these differences in performance, EDCs shall use Option 2 only under circumstances when Option 1 is infeasible and shall similarly use Option 3 only under circumstances where both Option 1 and Option 2 are infeasible. In situations where Option 1 and/or 2 are not utilized, justification(s) must be provided by the EDC. EDCs with interval meter data available should use it to estimate load impacts. For DLC and behavior-based programs where advanced metering infrastructure (AMI) data is not available for all participants, estimates based on a sample of metered homes is permissible at the discretion of the SWE.An analysis based on an experimental design that makes appropriate use of random assignment so that the reference load is estimated using a representative control group of program participants. The most common type of design satisfying this criteria is a randomized control trial (RCT), but other designs may also be used. The specific design used can be selected by the EDC evaluation contractor based on their professional experience. It is important to note that experimental approaches to evaluation generally require the ability to call events at the individual device level. An operations strategy must be determined ahead of time in order to ensure that an appropriate control group is available for the analysis. A comparison group analysis where the loads of a group of non-participating customers that are similar to participating homes with respect to observable characteristics (e.g. electricity 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. 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. A good match will result in the loads of treatment and comparison group being virtually identical on non-event days. Difference-in-differences estimators should be used in the analysis to control for any remaining non-event day differences after matching.A ‘within-subjects’ analysis where the loads of participating customers on non-event days are used to estimate the reference load. This can be accomplished via a regression equation that relates loads to temperature and other variables that influence usage. The regression model should be estimated using hot days that would be similar to an event. Including cooler days in the model can degrade accuracy because it puts more pressure on accurately modeling the relationship between weather and load across a broad temperature spectrum, which is hard because the relationship is not linear. Reducing the estimating sample to relevant days reduces that modeling challenge, or a ‘day-matching’ technique with a day-of or weather adjustment to account for the more extreme conditions in place on event days. The 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.EligibilityIn order to be eligible for the direct load control program, a customer must have a signaled device used to control the operability of the equipment specified to be called upon during an event. All residential and small commercial customers are eligible to participate in the behavior-based program. Algorithms Calculated using The specific algorithms(s) used to estimate the demand impacts caused by DLC and behavior-based programs will depend on the specific method of evaluation used. In general, regression-based estimates are most preferred, due to their ability to produce more precise impact estimates and quantitative measures of uncertainty. Details on specific types of equations that can be used for each evaluation approach are provided in the Pennsylvania Evaluation Framework. Annual 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. Equations 1 and 2 provide mathematical definitions of the average of the 3 regions. The pool pump operating schedule is not weather dependent, but operator dependent. This is noted on page 22, paragraph 2 of the source. HYPERLINK "" peak period load impact estimate that would be calculated using an approved method.?kWpeak=i=1nΔkWin(1)ΔkWi= kWReferencei- kWMeteredi(2)Definition of TermsTable STYLEREF 1 \s 22: Definition of Terms for Estimating DLC and Behavior-based Load ImpactsTermUnitValuesSourcen, 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 GatheringkWReferencei , Estimated customer load absent DR during hour ikWEDC Data GatheringEDC Data GatheringkWMeteredi , Measured customer load during hour ikWEDC Data GatheringEDC Data GatheringDefault SavingsDefault savings are not available for DLC or behavior-based programs.Evaluation Protocols and Required ReportingTechnical details of the evaluation protocols for Direct Load Control measures and Behavior-based DR programs are described in the Pennsylvania Evaluation Framework. The end result of following the protocols will be a common set of outputs that allow for an “apples-to-apples” comparison of load impacts across different DR resource options, event conditions and time. These outputs are designed to ensure that the documentation of methods and results allows knowledgeable reviewers to judge the quality and validity of the impact estimates. 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