Protocols for the residential sector quantify savings for measures typically found in residential areas under residential meters. Likewise, protocols for the C&I or Agriculture sectors quantify savings for measures typically found in C&I areas under C&I meters. However, there is some overlap where measure type, usage and the sector do not match. Protocols in the residential and C&I sections describe measure savings based on the application or usage characteristics of the measure rather than how the measure is metered. For example, if a measure is found in a residential environment but is metered under a commercial meter, the residential sector protocol is used. On the other hand, if a measure is found in a commercial or agricultural environment but is metered under a residential meter, the commercial or agricultural sector protocol is used. This is particularly relevant for residential appliances that frequently appear in small commercial spaces (commercial protocol) and residential appliances that are used in residential settings but are under commercial meters (multi-family residences). In addition, air sealing, duct sealing and ceiling/attic and wall insulation protocols and standards for residential measures should be used to estimate savings in two to four units multifamily complexes whereas air sealing and insulation protocols and standards for C&I measures should be applied in multifamily complexes with more than four units. Depending on the scale, an agricultural facility could be metered under a range of meters, but the agricultural measure protocol will supersede the meter type in the same fashion as listed for the other sectors. The following sections present measure-specific algorithms. Section 2 addresses residential sector measures and Section 3 addresses commercial and industrial sector measures. Section 4 addresses agricultural measures for residential, commercial, and industrial market sectors. ENERGY
Table : ENERGY STAR Lighting - References Component Unit Value Sources Wattsbase , Wattage of baseline case lamp/fixture Watts EDC Data Gathering or Table 22, Table 23 & Table 24 7 WattsCFL , Wattage of CFL Watts EDC Data Gathering Data Gathering CFLhours , Average hours of use per day per CFL 2.8 5 IEkWh , HVAC Interactive Effect for CFL energy None EDC Data Gathering Default=Table 25 6 IEkW , HVAC Interactive Effect for CFL demand None EDC Data Gathering Default= Table 25 6 ISRCFL , In-service rate per CFL % 97% 2 WattsLED , Wattage of LED Watts EDC Data Gathering Data Gathering IEkWh-LED , HVAC Interactive Effect for LED energy None EDC Data Gathering Default=Table 26 6 IEkW-LED , HVAC Interactive Effect for LED demand None EDC Data Gathering Default=Table 26 6 WattsTorch , Wattage of ENERGY STAR torchiere Watts EDC Data Gathering Data Gathering Torchhours , Average hours of use per day per torchiere 3.0 1 ISRTorch , In-service rate per Torchiere % 83% 2 WattsIF , Wattage of ENERGY STAR Indoor Fixture Watts EDC Data Gathering Data Gathering IFhours , Average hours of use per day per Indoor Fixture None 2.6 1 ISRIF , In-service rate per Indoor Fixture % 95% 2 WattsOF , Wattage of ENERGY STAR Outdoor Fixture Watts EDC Data Gathering Data Gathering OFhours , Average hours of use per day per Outdoor Fixture 4.5 1 ISROF , In-service rate per Outdoor Fixture % 87% 2 CF , Demand Coincidence Factor % 9.1% 3 WattsFan , Wattage of ENERGY STAR Ceiling Fan light fixture Watts EDC Data Gathering Data Gathering Fanhours , Average hours of use per day per Ceiling Fan light fixture 3.5 4 ISRFan , In-service rate per Ceiling Fan fixture % 95% 4
ENERGY STAR provides separate equivalent incandescent wattages for specialty and decorative bulb shapes. These shapes include candelabra base, globe, bullet, and shapes other than bulbs. For these bulbs, use the WattsBase from Table 23. For EISA exempt specialty bulbs, use the Wattsbase value in column (c) in 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 Table 23, find the lamp shape of the bulb (see columns (a) or (b)). 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 : Baseline Wattage by Lumen Output for Specialty Lamps Lumen Bins (decorative) (a) Lumen Bins (globe) (b) Incandescent Equivalent WattsBase (Pre-EISA 2007) (c) WattsBase (Post-EISA 2007) (d) 1100-1300 150 72 650-1099 100 72 575-649 75 53 500-699 500-574 60 43 300-499 350-499 40 29 150-299 250-349 25 25 90-149 15 15 70-89 10 10 Baseline Wattage Values – Reflector or Flood Lamps Reflector (directional) bulbs fall under legislation different from GSL and other specialty bulbs. For these bulbs, EDCs can use the manufacturer rated equivalent wattage as printed on the retail packaging, or use the default WattsBase (column (c)) in Table 24 below. Table . Default Baseline Wattage for Reflector Bulbs Bulb Type (a) Incandescent Equivalent (Pre-EISA) (b) WattsBase (Post-EISA) (c) PAR20 50 35 PAR30 50 35 R20 50 45 PAR38 60 55
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. Table : Holiday Lights Assumptions Parameter Unit Value Source LEDmini , Wattage of LED mini bulbs Watts 0.08 1 INCmini , Wattage of incandescent mini bulbs Watts 0.48 1 LEDC7 , Wattage of LED C7 bulbs Watts 0.48 1 INCC7 , Wattage of incandescent C7bulbs Watts 6.0 1 LEDC9 , Wattage of LED C9 bulbs Watts 2.0 1 INCC9 , Wattage of incandescent C9 bulbs Watts 7.0 1 WMini , Percentage of holiday lights that are “mini” % 50% 1 WC7 , Percentage of holiday lights that are “C7” % 25% 1 WC9 , Percentage of holiday lights that are “C9” % 25% 1 #Bulbs , Number of bulbs per strand bulbs/strand EDC Data Gathering Default: 25 per strand 3 #Strands , Number of strands of lights per package strands/package EDC Data Gathering Default: 1 strand 3 Hr , Annual hours of operation Hours/yr 150 1 The deemed savings for installation of LED C9, C7, and mini lights is 18.7 kWh, 20.7 kWh, and 1.5 kWh, respectively. The weighted average savings are 10.6 kWh per strand. There are no F A
Table : Residential Electric HVAC - References Component Unit Value Sources CAPYcool , The cooling capacity (output in Btuh) of the central air conditioner or heat pump being installed None EDC Data Gathering AEPS Application; EDC Data Gathering CAPYheat , The heating capacity (output in Btuh) of the central air conditioner or heat pump being installed None EDC Data Gathering AEPS Application; EDC Data Gathering SEERb , Seasonal Energy Efficiency Ratio of the Baseline Unit Replace on Burnout: 13 SEER (Central A/C) or 14 SEER (ASHP) 1 Early Retirement EDC Data Gathering Default = 11 (Central A/C) or 12 (ASHP) 13; EDC Data Gathering SEERe , Seasonal Energy Efficiency Ratio of the qualifying unit being installed EDC Data Gathering AEPS Application; EDC Data Gathering SEERm , Seasonal Energy Efficiency Ratio of the Unit receiving maintenance EDC Data Gathering Default= 11 (Central A/C) or 12 (ASHP) 13; EDC Data Gathering EERb , Energy Efficiency Ratio of the Baseline Unit Replace on Burnout: 11.3 2 EDC Data Gathering Default= 8.69 14; EDC Data Gathering EERe , Energy Efficiency Ratio of the unit being installed 2 EERg , 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 1.02 EDC Data Gathering AEPS Application; EDC’s Data Gathering EERsys , Ground Source Heat Pump effective system EER Calculated Calculated EERm , Energy Efficiency Ratio of the Unit receiving maintenance EDC Data Gathering Default= 8.69 14; EDC Data Gathering GSER , Factor used to determine the SEER of a GSHP based on its EERg 1.02 3
Performance Factor of the Baseline Unit Early Replacement: EDC Data Gathering Default = 6.9 20 HSPFe , Heating Seasonal Performance Factor of the unit being installed EDC Data Gathering AEPS Application; EDC’s Data Gathering HSPFm , Heating Seasonal Performance Factor of the unit receiving maintenance 6.9 20 COPg , Coefficient of Performance. This is a measure of the efficiency of a heat pump None EDC Data Gathering AEPS Application; EDC’s Data Gathering GSHPDF , Ground Source Heat Pump De-rate Factor None 0.885 19 (Engineering Estimate - See System Performance of Ground Source Heat Pumps) COPsys , Ground Source Heat Pump effective system COP Variable Calculated Calculated GSOP , Factor to determine the HSPF of a GSHP based on its COPg None 3.413 8 GSPK , Factor to convert EERg to the equivalent EER of an air conditioner to enable comparisons to the baseline unit None 0.8416 9 EFDSH , Energy Factor per desuperheater None 0.17 10, 11 EDSH , Fixed savings per desuperheater kWh/yr 567 Calculated EFbase , Energy Factor of Electric Water Heater None 0.904 Table 242 HW , Daily Hot Water Use 50 Table 242 Th , Hot Water Temperature °F 123 Table 242 Tc , Cold Water Temperature °F 55 Table 242 ETDF , Fixed “Energy to Demand Factor per desuperheater None 0.00008294 Table 242 PDSH , Assumed peak-demand savings per desuperheater kW 0.05 Calculated HFS , Assumed heating season savings per furnace high efficiency fan kWh 311 16 CFS , Assumed cooling season savings per furnace high efficiency fan kWh 135 17 PDFS , Assumed peak-demand savings per furnace high efficiency fan kW 0.114 18
Table : Default values for algorithm terms, Fuel Switching, Electric Heat to Gas Heat Term Units Value Source CAPYelec heat , Total heating capacity of existing electric baseboards or electric furnace Nameplate EDC Data Gathering CAPYASHP heat , Total heating capacity of existing electric ASHP Nameplate EDC Data Gathering CAPYfuel heat , Total heating capacity of new natural gas furnace Nameplate EDC Data Gathering EFLHASHP , Equivalent Full Load Heating hours for Air Source Heat Pumps Allentown = 1,193 Erie = 1,349 Harrisburg = 1,103 Philadelphia = 1,060 Pittsburgh = 1,209 Scranton = 1,296 Williamsport = 1,251 2014 PA TRM Table 211, in Electric HVAC section Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Table 215) or EDC Data Gathering EFLHelec furnace , Equivalent Full Load Heating hours for Electric Forced Air Furnaces Allentown = 1,000 Erie = 1,075 Harrisburg = 947 Philadelphia = 934 Pittsburgh = 964 Scranton = 1,034 Williamsport = 1,011 1 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Table 216) or EDC Data Gathering EFLHelec bb , Equivalent Full Load Heating hours for Electric Baseboard systems Allentown = 1,321 Erie = 1,396 Harrisburg = 1,265 Philadelphia = 1,236 Pittsburgh = 1,273 Scranton = 1,357 Williamsport = 1,354 1 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Table 217) or EDC Data Gathering EFLHfuel furnace , Equivalent Full Load Heating hours for Fossil Fuel Furnace systems Allentown = 1,022 Erie = 1,098 Harrisburg = 969 Philadelphia = 955 Pittsburgh = 985 Scranton = 1,056 Williamsport = 1,033 1 Optional An EDC can either use the Alternate EFLH Table or Alternate EFLH Table
Table : DHP – Values and References Term Unit Values Sources CAPYcool , The cooling (at 47° F) capacity of the Ductless Heat Pump unit EDC Data Gathering AEPS Application; EDC Data Gathering CAPYheat , The heating (at 47° F) capacity of the Ductless Heat Pump unit EDC Data Gathering AEPS Application; EDC Data Gathering EFLH primary , Equivalent Full Load Hours of the primary system – If the unit is installed as the primary heating or cooling system, as defined in Table 221 Allentown Cooling = 487 Hours Allentown Heating = 1,193 Hours Erie Cooling = 389 Hours Erie Heating = 1,349 Hours Harrisburg Cooling = 551 Hours Harrisburg Heating = 1,103 Hours Philadelphia Cooling = 591 Hours Philadelphia Heating = 1,060 Hours Pittsburgh Cooling = 432 Hours Pittsburgh Heating = 1,209 Hours Scranton Cooling = 417 Hours Scranton Heating = 1,296 Hours Williamsport Cooling = 422 Hours Williamsport Heating = 1,251 Hours 1 An EDC can either use the Alternate EFLH Table 213 or estimate its own EFLH based on customer billing data analysis EDC Data Gathering EFLH secondary , Equivalent Full Load Hours of the secondary system – If the unit is installed as the secondary heating or cooling system, as defined in Table 221 Allentown Cooling = 243 Hours Allentown Heating = 800 Hours Erie Cooling = 149 Hours Erie Heating = 994 Hours Harrisburg Cooling = 288 Hours Harrisburg Heating = 782 Hours Philadelphia Cooling = 320 Hours Philadelphia Heating = 712 Hours Pittsburgh Cooling = 228 Hours Pittsburgh Heating = 848 Hours Scranton Cooling = 193 Hours Scranton Heating = 925 Hours Williamsport Cooling = 204 Hours Williamsport Heating = 875 hours 2, 3 HSPFbase , “Heating Seasonal Performance Factor”- heating efficiency of baseline unit Standard DHP: 8.2 Electric resistance: 3.413 ASHP: 8.2 Electric furnace: 3.242 No existing or non-electric heating: use standard DHP: 8.2 4, 6
SEERbase , “Seasonal Energy Efficiency Ratio” - Cooling efficiency of baseline unit DHP or ASHP: 14 Central AC: 13 Room AC: 11.3 No existing cooling for primary space: use Central AC: 13 No existing cooling for secondary space: use Room AC: 11.3 5, 6, 7 HSPFee , “Heating Seasonal Performance Factor”- heating efficiency of installed DHP Based on nameplate information. Should be at least ENERGY STAR. AEPS Application; EDC Data Gathering SEERee , “Seasonal Energy Efficiency Ratio” - Cooling efficiency of installed DHP Based on nameplate information. Should be at least ENERGY STAR. AEPS Application; EDC Data Gathering OF , “Oversize factor” factor to account for the fact that the baseline unit is typically 40%-50% oversized None Depends on baseline condition: Central AC=1.5 Central ASHP=1.4 Electric Furnace=1.4 Electric Baseboard=1.4 Room AC: 1.0 Ductless Heat Pump: 1.0 1 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 ones None Depends on baseline condition: Central AC=1.15 Central ASHP=1.15 Electric Furnace=1.15 Electric Baseboard=1.00 Room AC: 1.00 Ductless Heat Pump: 1.0 CF , Coincidence Factor % 64.7% 8 EERbase , The Energy Efficiency Ratio of the baseline unit = (11.3/13) X SEERb for DHP or central AC = 9.8 room AC 5,9 EERee , The Energy Efficiency Ratio of the installed DHP = (11.3/13) X SEERe Based on nameplate information. Should be at least ENERGY STAR. AEPS Application; EDC Data Gathering Definition of primary and secondary heating systems depends primarily on the location where the source heat is provided in the household, and shown in Table 221. F A
Table : ENERGY STAR Room AC - References Component Unit Value Sources CAPY , The cooling capacity of the room air conditioner (RAC) being installed EDC Data Gathering CEERbase , Combined Energy Efficiency ratio of the baseline unit Federal Standard Values in: Table 223 Table 224 Table 225 1 CEERee , Combined Energy efficiency ratio of the RAC being installed EDC Data Gathering Default = ENERGY STAR values in: Table 223 Table 224 Table 225 2 EFLHRAC , Equivalent full load hours of the RAC being installed Table 226 or alternate EFLHcool values an Adjustment Factor in Section 2.2.5 3 CF , Demand coincidence factor % Default: 30% Or EDC data gathering 4 Table 223 lists the minimum federal efficiency standards as of June 2014 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 : RAC (without reverse cycle) Federal Minimum Efficiency and ENERGY STAR Version 3.1 Standards Capacity (Btu/h) Federal Standard CEER, with louvered sides ENERGY STAR CEER, with louvered sides Federal Standard CEER, without louvered sides ENERGY STAR CEER, without louvered sides < 6,000 ≥11.0 11.0 10.0 10.2 6,000 to 7,999 F
Table : Furnace Whistle - References Component Unit Value Sources , Average motor full load electric demand (kW) kW 0.5 1, 2 EFLHHeat , Estimated Full Load Hours (Heating ) for the EDC region Variable. See Table 232 TRM Table 211 EFLHCool , Estimated Full Load Hours (Cooling) for the EDC region. Variable. See Table 232 TRM Table 211 EI , Efficiency Improvement % 15% 3, 6 ISR , In-service Rate % 47.4% 4 CF , Coincidence Factor % 64.7% 5 Table : EFLH for various cities in Pennsylvania (TRM Data) City Cooling load hours Heating load hours Total load hours Allentown 487 1,193 1,681 Erie 389 1,349 1,739 Harrisburg 551 1,103 1,654 Philadelphia 591 1,060 1,651 Pittsburgh 432 1,209 1,641 Scranton 417 1,296 1,713 Williamsport 422 1,251 1,673 The following table presents the assumptions and the results of the deemed savings calculations for each EDC. Table : Assumptions and Results of Deemed Savings Calculations (Pittsburgh, PA) Blower Motor kW Pittsburgh EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,209 604 695 91 0.474 43 Cooling 0.5 432 216 248 32 0.474 15 Total 1,641 820 944 123 58 kWpeak = 0.024 kW (Pittsburgh) A
Table : Assumptions and Results of Deemed Savings Calculations (Philadelphia, PA) Blower Motor kW Philadelphia EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,060 530 609 79 0.474 38 Cooling 0.5 591 296 340 44 0.474 21 Total 1,651 826 949 124 59 kWpeak = 0.025 kW (Philadelphia) Table : Assumptions and Results of Deemed Savings Calculations (Harrisburg, PA) Blower Motor kW Harrisburg EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,103 552 634 83 0.474 39 Cooling 0.5 551 276 317 41 0.474 20 Total 1,654 827 951 124 59 kWpeak = 0.025 kW (Harrisburg) Table : Assumptions and Results of Deemed Savings Calculations (Erie, PA) Blower Motor kW Erie EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,349 675 776 101 0.474 48 Cooling 0.5 389 195 224 29 0.474 14 Total 1,739 869 1,000 130 62 kWpeak = 0.025 kW (Erie) Table : Assumptions and Results of Deemed Savings Calculations (Allentown, PA) Blower Motor kW Allentown EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,193 597 686 89 0.474 42 Cooling 0.5 487 244 280 37 0.474 17 Total 1,681 840 966 126 60 kWpeak = 0.024 kW (Allentown)
Table : Residential Electric HVAC Calculation Assumptions Component Unit Value Sources CAPYCOOL , Capacity of air conditioning unit Btuh EDC Data Gathering of Nameplate data EDC Data Gathering Default= 32,000 1 CAPYHEAT , Normal heat capacity of Electric Furnace Btuh EDC Data Gathering of Nameplate Data EDC Data Gathering Default= 32,000 1 SEER , Seasonal Energy Efficiency Ratio EDC Data Gathering of Nameplate data EDC Data Gathering Default= 11.9 1 HSPF , Heating Seasonal Performance Factor of heat pump EDC Data Gathering of Nameplate data EDC Data Gathering Default= 3.413 (equivalent to electric furnace COP of 1) 2 Effduct , Duct System Efficiency None 0.8 3 ESFCOOL , Energy Saving Factor for Cooling None 0.02 4 ESFHEAT , Energy Saving Factor for Heating None 0.036 5 EFLHCOOL , Equivalent Full Load hour for Cooling Allentown Cooling = 487 Hours Erie Cooling = 389 Hours Harrisburg Cooling = 551 Hours Philadelphia Cooling = 591 Hours Pittsburgh Cooling = 432 Hours Scranton Cooling = 417 Hours Williamsport Cooling = 422 Hours 6 Optional Can use the more EDC-specific values in Table 212 Alternate EFLH Table 212 Optional An EDC can estimate it’s own EFLH based on customer billing data analysis. EDC Data Gathering EFLHHEAT , Full Load Hours for Heating Allentown Heating = 1,193 Hours Erie Heating = 1,349 Hours Harrisburg Heating = 1,103 Hours Philadelphia Heating = 1,060 Hours Pittsburgh Heating = 1,209 Hours Scranton Heating = 1,296 Hours Williamsport Heating = 1,251 Hours 6 Optional An EDC can use the Alternate EFLH values in Table 213 Alternate EFLH Table 213 Optional An EDC can estimate it’s own EFLH based on customer billing data analysis. EDC Data Gathering
ETDF (Energy to Demand Factor) is defined below: The 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). The parameters in the above equation are listed in Table 249. Table : Solar Water Heater Calculation Assumptions Component Unit Values Source EFbase , Energy Factor of baseline electric water heater Fraction See Table 250 3 Default= 0.904 (50 gallon) 3 EFee , Year-round average Energy Factor of proposed solar water heater Fraction EDC Data Gathering EDC Data Gathering Default=1.84 1 HW , Hot water used per day in gallons 50 4 Thot , Temperature of hot water 123 5 Tcold , Temperature of cold water supply 55 6 Default Baseline Energy Usage for an electric water heater without a solar water heater (kWh) Calculated 3,338 ETDF , Energy to Demand Factor (defined above) 0.00008047 2 Federal standards for Energy Factors (EF) are equal to 0.97 – (.00132 x Rated Storage in Gallons). The following table shows the baseline Energy Factors for various tank sizes: Table : Minimum Baseline Energy Factors Based on Tank Size Tank Size (gallons) Minimum Energy Factors 40 0.9172 50 0.9040 65 0.8842 80 0.8644 120 0.8116
Table : Water Heater Temperature Setback Assumptions Component Unit Values Source , Energy Factor of water heater Fraction EDC data collection Default: Electric Storage= 0.904 HPWH= 2.0 1 , value of water heater tank, EDC Data Gathering Default: 8.33 , Surface Area of water heater tank, EDC Data Gathering Default: 24.99 50 gal. value in Table 2119 , Thermal efficiency of electric heater element (equiv. to COP for HPWH) Fraction Electric Storage: 0.97 HPWH: 2.1 2, 3 , Volume of hot water used per day, in gallons gallons/day 7.32 4, 5, 6, 7, 8 Thot_i , Temperature setpoint of water heater initially °F EDC Data Gathering Default: 130 9 Thot_f , Temperature setpoint water heater after setback °F EDC data collection Default: 123 10 ETDF , Energy To Demand Factor (defined above) 0.00008047 11 Note: The new Federal standards that go into effect 4/16/2015 will be incorporated into this measure in the 2016 TRM. These can be viewed at: The energy savings and demand reductions are prescriptive according to the above formulae. However, some values for common configurations are provided in Table 264 below. Table : Energy Savings and Demand Reductions Type Tank Size (gallons) (˚F) Energy Savings () Demand Reduction Electric Storage 50 8.33 24.99 10 0.97 0.904 151 0.0125 Electric Storage 50 8.33 24.99 5 0.97 0.904 76 0.0063 HPWH 50 8.33 24.99 10 2.1 2.0 69 0.0057 HPWH 50 8.33 24.99 5 2.1 2.0 35 0.0029
freezer with an automatic icemaker without through-the-door ice service. 7. defrost with freezer with ice service. 24.6 643 587 56 0.0062 5A. defrost with freezer with ice service. 25.4 710 648 62 0.0070 3A. All-refrigerators—automatic defrost. 12.2 288 259 29 0.0032 Compact Size Models: Less than 7.75 cubic feet and 36 inches or less in height 11A.Compact defrost. 3.3 245 220 24 0.0027 12. Compact automatic defrost 3.3 355 320 36 0.0040 13. Compact defrost with top-mounted freezer. 4.5 392 353 39 0.0044 15. Compact defrost with bottom-mounted freezer. 5.1 399 359 40 0.0045 ENERGY 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 Table 272 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 Table 270. Table : ENERGY STAR Most Efficient Annual Energy Usage if Configuration and Volume Known Refrigerator Category ENERGY STAR Most Efficient Maximum Annual Energy Usage in kWh/yr Refrigerator-freezers and refrigerators other than all-refrigerators with manual defrost. AV ≤ 65.6, Eann ≤ 6.79*AV + 191.3 AV > 65.6, Eann ≤ 637 2. Refrigerator-freezers—partial automatic defrost AV ≤ 65.6, Eann ≤ 6.79*AV + 191.3 AV > 65.6, Eann ≤ 637 3. Refrigerator-freezers—automatic defrost with top-mounted freezer without an automatic icemaker. AV ≤ 63.9, Eann ≤ 6.86*AV + 198.6 AV > 63.9, Eann ≤ 637
DEFAULT_kWhsaved Per UnitWITH NON ES REP = kWhsaved Per Unit NO REP – (REPLACEMENTUEC NON ES * PART_USE) = kWh Source for freezer UEC equation: Cadmus memo to Michigan Public Service Commission (August 2012) Freezer Unit Energy Consumption Equation Equation Intercept and Independent Variables Estimate Coefficient (Daily kWh) Intercept -2.297 Appliance Age (years) 0.401 Dummy: Manufactured Pre-1993 0.067 Appliance Size (cubic feet) 0.15 % of appliances that are chest freezers 0.854 Cooling Degree Days (CDD) 0.1046 Freezer Savings - No Replacement: DEFAULT_kWhsaved Per Unit NO REP= EXISTING_UEC * PART_USE =kWh Freezer Savings - Replacement with Energy Star Unit: DEFAULT_kWhsaved Per UnitWITH ES REP = DEFAULT kWhsaved Per Unit NO REP – (REPLACEMENTUEC ES * PART_USE) = kWh Freezer Savings - Replacement with non-Energy Star Unit: DEFAULT_kWhsaved Per UnitWITH NON ES REP = kWhsaved Per Unit NO REP – (REPLACEMENTUEC NON ES * PART_USE) = kWh The 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 PY4 data provided by each EDC for refrigerators and freezers removed in PY4. Once these input values were determined, they were substituted into the above equation in order to estimate the UEC for removed refrigerators and freezers for each EDC. Table 277 to Table 280 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. Note that equation inputs in Table 277 to Table 280 are provided for each appliance (refrigerators, then freezers) depending on whether the units were or were not replaced with a new unit.
Component Unit Value Sources CAPY , Average capacity of the unit EDC Data Gathering HOU , Annual hours of operation 1632 1 , Baseline unit liters of water per kWh consumed Table 291, Federal Standard 2 , ENERGY STAR qualified unit liters of water per kWh consumed EDC Data Gathering Default : Table 291, ENERGY STAR 3 CF , Demand Coincidence Factor % 40.5% 4 Table 291 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, Table 291 only presents standards for the range of dehumidifier capacities that savings can be claimed. Table : Dehumidifier Minimum Federal Efficiency and ENERGY STAR Standards Capacity (pints/day) Federal Standard () ENERGY STAR () ≤ 35 1.35 ≥ 1.85 > 35 ≤ 45 1.50 >45 ≤ 54 1.60 >54 < 75 1.70 75 ≤ 185 2.5 ≥ 2.80 The annual energy usage and savings of an ENERGY STAR unit over the federal minimum standard are presented in Table 292 for each capacity range. Table : Dehumidifier Default Energy Savings Capacity Range (pints/day) Default Capacity (pints/day) Federal Standard (kWh/yr) ENERGY STAR (kWh/yr) ΔkWh/yr ΔkWpeak ≤ 35 35 834 609 225 0.05584 > 35 ≤ 45 45 965 782 183 0.04541 >45 ≤ 54 54 1086 939 147 0.03648 >54 < 75 74 1,400 1,287 113 0.02804 75 ≤ 185 130 1,673 1,493 180 0.04467
ENERGY STAR Printer kWh/yr = ESavPRI kWpeak = DSavPRI ENERGY STAR Multifunction kWh/yr = ESavMUL kWpeak = DSavMUL ENERGY STAR Monitor kWh/yr = ESavMON kWpeak = DSavMON Table : ENERGY STAR Office Equipment - References Component Unit Value Sources ESavCOM , Electricity savings per purchased ENERGY STAR computer. ESavFAX , Electricity savings per purchased ENERGY STAR Fax Machine ESavCOP , Electricity savings per purchased ENERGY STAR Copier ESavPRI , Electricity savings per purchased ENERGY STAR Printer ESavMUL , Electricity savings per purchased ENERGY STAR Multifunction Machine ESavMON , Electricity savings per purchased ENERGY STAR Monitor kWh/yr See Table 2102 1 DSavCOM , Summer demand savings per purchased ENERGY STAR computer. DSavFAX , Summer demand savings per purchased ENERGY STAR Fax Machine DSavCOP , Summer demand savings per purchased ENERGY STAR Copier DSavPRI , Summer demand savings per purchased ENERGY STAR Printer DSavMUL , Summer demand savings per purchased ENERGY STAR Multifunction Machine DSavMON , Monitor kW/yr See Table 2102 2
Table : Residential New Construction – References Component Unit Value Sources Heating kWhbase , Annual heating energy consumption of the baseline home in kWh, from software. kWh Software Calculated 1 Heating kWhq , Annual heating energy consumption of the qualifying home in kWh, from software. kWh Software Calculated 2 Cooling kWhbase , Annual cooling energy consumption of the baseline home in kWh, from software. kWh Software Calculated 1 Cooling kWhq , Annual cooling energy consumption of the qualifying home in kWh, from software. kWh Software Calculated 2 PLbase , Estimated peak cooling load of the baseline home in kbtuh, from software. kBtuh Software Calculated 3 EERbase . Energy Efficiency Ratio of the baseline unit. EDC Data Gathering or SEERb * BLEER 4 EERq , Energy Efficiency Ratio of the qualifying unit. EDC Data Gathering or SEERq * BLEER 4 SEERbase , Seasonal Energy Efficiency Ratio of the baseline unit. 13 5 BLEER , Factor to convert baseline SEERb to EERb. 0.87 6 PLq , Estimated peak cooling loadfor the qualifying home constructed, in kbtuh, from software. kBtuh Software Calculated 7 SEERq , SEER associated with the HVAC system in the qualifying home. EDC Data Gathering 8 CF , Demand Coincidence Factor (See Section 1.5) % 64.7 % 9 The following table lists the building envelope characteristics of the baseline reference home based on IRC 2009 for the three climate zones in Pennsylvania. Table : Baseline Insulation and Fenestration Requirements by Component (Equivalent U-Factors) Climate Zone Skylight U-Factor Ceiling Frame Wall Mass Wall Floor U-Factor Basement Wall U-Factor Slab R-Value &Depth Crawl Space Wall 4A 0.35 0.60 0.030 0.082 0.141 0.047 0.059 10, 2 ft 0.065 5A 0.35 0.60 0.030 0.060 0.082 0.033 0.059 10, 2 ft 0.065 6A 0.35 0.60 0.026 0.060 0.060 0.033 0.059 10, 4 ft 0.065 Table : Energy Star Homes - User Defined Reference Home Data Point Value Source
open-plan offices, and classrooms controls Pre-set scene selection 31% Institutional Tuning Adjustment of light levels through commissioning and technology to meet location specific needs or building policies; or provision of switches or controls for areas or groups of occupants; examples of the former include high-end trim dimming (also known as ballast tuning or reduction of ballast factor), task tuning and lumen maintenance Dimmable ballasts 36% On-off or dimmer switches for tuning 36% Multiple Types Includes combination of any of the types described above. Occupancy and personal tuning, daylighting and occupancy are most common. Occupancy and personal tuning/ daylighting and occupancy 38% Table : Lighting HOU and CF by Building Type or Function Building Type HOU CF Source Auto Related 4,056 0.62* 10 Daycare 2,590 0.62* 11 Dusk-to-Dawn / Exterior Lighting 3,833 0.00 5 Education – School 1,632 0.31 4 Education – College/University 2,348 0.76 4 Grocery 4,660 0.87 4 Health/Medical – Clinic 3,213 0.73 4 Hospitals 5,182 0.80 4 Industrial Manufacturing – 1 Shift 2,857 0.57 9 Industrial Manufacturing – 2 Shift 4,730 0.57 9 Industrial Manufacturing – 3 Shift 6,631 0.57 9 Libraries 2,566 0.62* 12 Lodging – Guest Rooms 914 0.09 4 Lodging – Common Spaces 7,884 0.90 4 Multi-Family (Common Areas) - & Low-rise 5,950 0.62* 6 Nursing Home 4,160 0.62* 7 Office 2,567 0.61 4 Parking Garages 6,552 0.62* 13 Public Order and Safety 5,366 0.62* 14 Public Assembly (one shift) 2,610 0.62* 7 Public Services (nonfood) 3,425 0.62* 8 Restaurant 3,613 0.65 4
Table : LED Exit Signs Calculation Assumptions Term Unit Values Source , Connected load of baseline lighting as defined by project classification kW Actual Wattage EDC Data Gathering Single-Sided Incandescent: 0.020 kW Dual-Sided Incandescent: 0.040 kW Single-Sided Fluorescent: 0.009 kW Dual-Sided Fluorescent: 0.020 kW Appendix C: Lighting Audit and Design Tool , Connected load of the post-retrofit or energy-efficient lighting kW Actual Wattage EDC Data Gathering Single-Sided: 0.002 kW Dual-Sided: 0.004 kW Appendix C: Lighting Audit and Design Tool , Demand Coincidence Factor None 1.0 1 , Hours of – the average annual operating hours of the baseline lighting equipment. Hours 8,760 1 , Interactive HVAC Energy Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary energy savings in cooling required which results from decreased indoor lighting wattage. None See: Table 36 Table 36 , Interactive HVAC Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from decreased indoor lighting wattage. None See: Table 36 Table 36 Single-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled Spaces Dual-Sided LED Exit Signs replacing Incandescent Exit Signs in Cooled Spaces
< 65,000 12.1 EER 12.3 IEER N/A > 65,000 and <135,000 12.1 EER 12.3 IEER N/A > 135,000 and < 240,000 12.5 EER 12.7 IEER N/A > 240,000 and < 760,000 12.4 EER 12.6 IEER N/A > 760,000 11.0 EER 11.1 IEER N/A Evaporatively-Cooled Air Conditioners < 65,000 12.1 EER 12.3 IEER N/A > 65,000 and <135,000 12.1 EER 12.3 IEER N/A > 135,000 and < 240,000 12.0 EER 12.2 IEER N/A > 240,000 and < 760,000 11.9 EER 12.1 IEER N/A > 760,000 11.0 EER 11.1 IEER N/A Note: For air-source air conditioners and air-source heat pumps, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Table : Air Conditioning EFLHs for Pennsylvania Cities Space and/or Building Type Allentown Erie Harrisburg Philadelphia Pittsburgh Scranton Williamsport Assembly 753 607 820 1,087 706 629 685 Education - Community College 603 436 620 695 557 515 594 Education - Primary School 250 154 277 302 255 204 208 Education - Relocatable Classroom 301 198 326 359 303 229 246 Education - Secondary School 249 204 327 375 262 219 264 Education - University 677 520 693 773 630 550 595 Grocery 654 636 453 536 638 434 442 Health/Medical - Hospital 1,030 1,038 892 1,059 788 1,022 1,013
327 , Demand Coincidence Factor None See Table 329 1 , Equivalent Full Load Hours – The kWh during the entire operating season divided by the kW at design conditions. The most appropriate EFLH from shall be utilized in the calculation. Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 328 1 Table : Electric Chiller Baseline Efficiencies (IECC 2009) Chiller Type Size Path Path Source Air Cooled Chillers < 150 tons Full load: 9.562 EER IPLV: 12.500 EER N/A 2 >=150 tons Full load: 9.562 EER IPLV: 12.750 EER N/A Water Cooled Positive Displacement or Reciprocating Chiller < 75 tons Full load: 0.780 kW/ton IPLV: 0.630 kW/ton Full load: 0.800 kW/ton IPLV: 0.600 kW/ton >=75 tons and < 150 tons Full load: 0.775 kW/ton IPLV: 0.615 kW/ton Full load: 0.790 kW/ton IPLV: 0.586 kW/ton >=150 tons and < 300 tons Full load: 0.680 kW/ton IPLV: 0.580 kW/ton Full load: 0.718 kW/ton IPLV: 0.540 kW/ton >=300 tons Full load: 0.620 kW/ton IPLV: 0.540 kW/ton Full load: 0.639 kW/ton IPLV: 0.490 kW/ton Water Cooled Centrifugal Chiller <300 tons Full load: 0.634 kW/ton IPLV: 0.596 kW/ton Full load: 0.639 kW/ton IPLV: 0.450 kW/ton >=300 tons and < 600 tons Full load: 0.576 kW/ton IPLV: 0.549 kW/ton Full load: 0.600 kW/ton IPLV: 0.400 kW/ton >=600 tons Full load: 0.570 kW/ton Full load: 0.590 kW/ton
, Coefficient of Performance of the new ground source, groundwater source, or water source heat pump being installed None Nameplate data (ARI or AHAM) EDC Data Gathering , Cooling annual Equivalent Full Load Hours EFLH for Commercial HVAC for different occupancies Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 323 2 , Heating annual Equivalent Full Load Hours EFLH for Commercial HVAC for different occupancies Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 325 2 , Demand Coincidence Factor for Commercial HVAC None See Table 324 2 , Demand Coincidence Factor for ground source loop pump None If unit runs 24/7/365, CF=1.0; If unit runs only with heat pump unit compressor, See Table 324 2 , Horsepower of base case ground loop pump motor HP Nameplate EDC Data Gathering , Load factor of the base case ground loop pump motor; ratio of the peak running load to the nameplate rating of the pump motor. None Based on spot metering and nameplate EDC Data Gathering Default: 75% 1 , efficiency of base case ground loop pump motor None Nameplate EDC Data Gathering If unknown, assume the federal minimum efficiency requirements in Table 332 See Table 332 , efficiency of base case ground loop pump at design point None Nameplate EDC Data Gathering If unknown, assume program compliance efficiency in Table 333 See Table 333 , Run hours of base case ground loop pump motor Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 323 and Table 325 2 , Horsepower of retrofit case ground loop pump motor HP Nameplate EDC Data Gathering
There are no default savings for this measure. For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Phase II Evaluation Framework provides specific guidelines and requirements for evaluation procedures. Based on Nexant’s eQuest Modeling Analysis 2014. Measure Name Controls: Guest Room Occupancy Sensor Target Sector Commercial and Industrial Establishments Measure Unit Occupancy Sensor Unit Energy Savings Variable Unit Peak Demand Reduction Variable Measure Life 15 years This protocol applies to the installation of a control system in hotel guest rooms to automatically adjust the temperature setback during unoccupied periods. Savings are based on the management of the guest room’s set temperatures and controlling the HVAC unit for various occupancy modes. The savings are per guestroom controlled, rather than per sensor, for suites. This measure is targeted to hotel customers whose guest rooms are equipped with energy management thermostats replacing manual heating/cooling temperature set-point and fan On/Off/Auto thermostat controls. Acceptable baseline conditions are hotel guest rooms with manual heating/cooling temperature set-point and fan On/Off/Auto thermostat controls. Efficient conditions are hotel/motel guest rooms with energy management controls of the heating/cooling temperature set-points and operation state based on occupancy modes.
Table : Heat Pump Water Heater Calculation Assumptions Term Unit Values Source , Energy Factor of baseline water heater None See Table 374 1 , Energy Factor of proposed efficient water heater None Default: 2.2 Program Design Nameplate EDC Data Gathering Load, Average annual Load kBTU Varies 5 , Temperature of hot water Degrees Fahrenheit 119 °F 2 , Temperature of cold water supply Degrees Fahrenheit 55 °F 3 ETDF, Energy to Demand Factor None 0.000178 4 ,COP Adjustment factor None 0.80 if outdoor 1.09 if indoor 1.30 if in kitchen 4 RDF, Resistive Discount Factor None 0.90 6 HW, Average annual gallons of use Gallons Default: See Table 371 Calculation EDC Data Gathering EDC Data Gathering , Energy Factor of baseline gas water heater None 0.594 7 Energy Factors based on Tank Size Federal Standards for Energy Factors are equal to . The following table shows the Energy Factors for various tank sizes. Table : Minimum Baseline Energy Factor Based on Tank Size Tank Size (gallons) Minimum Energy Factors (Ebase) 40 0.9172 50 0.9040 65 0.8842 80 0.8644 120 0.8116
Table : Refrigeration Case Savings Volume Annual Energy Savings (kWh) Demand Impacts (kW) Glass Door Solid Door Glass Door Solid Door V < 15 722 268 0.0824 0.0306 15 ≤ < 30 683 424 0.0779 0.0484 30 ≤ V < 50 763 838 0.0871 0.0957 50 ≤ 927 1,205 0.1058 0.1427 Table : Freezer Case Savings Volume (ft3) Annual Energy Savings (kWh) Demand Impacts (kW) Glass Door Solid Door Glass Door Solid Door V < 15 1,901 814 0.2170 0.0929 15 ≤ < 30 1,992 869 0.2274 0.0992 30 ≤ V < 50 4,417 1,988 0.5042 0.2269 50 ≤ 6,680 3,405 0.7625 0.3887 For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Phase II Evaluation Framework provides specific guidelines and requirements for evaluation procedures. Energy Conservation Program: Energy Conservation Standards for Commercial Refrigerators, Freezers, and Refrigerator-Freezers. Pg. 538 ENERGY STAR Program Requirements for Commercial Refrigerators and Freezers. Version 2.1 Northeast Energy Efficiency Partnerships, Mid Atlantic TRM Version 3.0. March 2013. Calculated from Itron eShapes, which is 8760 hourly data by end use for Update New York.
Table : Variables for High-Efficiency Evaporator Fan Motor Term Unit Values Source , Number of motors replaced None EDC Data Gathering EDC Data Gathering , Input wattage of existing/baseline evaporator fan motor W Nameplate Input Wattage EDC Data Gathering Default values from Table 393 Table 393 , Input wattage of new energy efficient evaporator fan motor W Nameplate Input Wattage EDC Data Gathering Default values from Table 393 Table 393 , Load factor of evaporator fan motor None 0.9 1 , Duty cycle of evaporator fan motor for cooler None 100% 2 , Duty cycle of evaporator fan motor for freezer None 94.4% 2 , Degradation factor of compressor COP None 0.98 3 , Coefficient of performance of compressor in the cooler None 2.5 1 , Coefficient of performance of compressor in the freezer None 1.3 1 , Percentage of coolers in stores vs. total of freezers and coolers None 68% 3 , Hours per year 8,760 Conversion Factor Table : Variables for HE Evaporator Fan Motor Motor Category Weighting Percentage (population) Motor Output Watts SP Efficiency SP Input Watts PSC Efficiency PSC Input Watts ECM Efficiency ECM Input Watts 1-14 watts (Using 9 watt as industry average) 91% 9 18% 50 41% 22 66% 14 16-23 watts (Using 19.5 watt as industry average) 3% 19.5 21% 93 41% 48 66% 30 1/20 HP (~37 watts) 6% 37 26% 142 41% 90 66% 56
Table : Shaded Pole to PSC Deemed Savings Measure Wbase (Shaded Pole) Wee (PSC) LF DCEvap DG COP per case Temp Demand Impact (kW) Energy Impact (kWh) Cooler: Shaded Pole to PSC: 1-14 Watt 50 22 0.9 100% 0.98 2.5 0.0355 311 Cooler: Shaded Pole to PSC: 16-23 Watt 93 48 0.9 100% 0.98 2.5 0.0574 503 Cooler: Shaded Pole to PSC: 1/20 HP (37 Watt) 142 90 0.9 100% 0.98 2.5 0.0660 578 Freezer: Shaded Pole to PSC: 1-14 Watt 50 22 0.9 94.4% 0.98 1.3 0.0425 373 Freezer: Shaded Pole to PSC: 16-23 Watt 93 48 0.9 94.4% 0.98 1.3 0.0687 602 Freezer: Shaded Pole to PSC: 1/20 HP (37 Watt) 142 90 0.9 94.4% 0.98 1.3 0.0790 692
Table : PSC to ECM Deemed Savings Measure Wbase (PSC) Wee (ECM) LF DCEvap DG COP per case Temp Demand Impact (kW) Energy Impact (kWh) Cooler: PSC to ECM: 1-14 Watt 22 14 0.9 100% 0.98 2.5 0.0105 92 Cooler: PSC to ECM: 16-23 Watt 48 30 0.9 100% 0.98 2.5 0.0228 200 Cooler: PSC to ECM: 1/20 HP (37 Watt) 90 56 0.9 100% 0.98 2.5 0.0433 380 Freezer: PSC to ECM: 1-14 Watt 22 14 0.9 94.4% 0.98 1.3 0.0126 110 Freezer: PSC to ECM: 16-23 Watt 48 30 0.9 94.4% 0.98 1.3 0.0273 239 Freezer: PSC to ECM: 1/20 HP (37 Watt) 90 56 0.9 94.4% 0.98 1.3 0.0518 454 Table : Shaded Pole to ECM Deemed Savings Measure Wbase (Shaded Pole) Wee (ECM) LF DCEvap DG COP per case Temp Demand Impact (kW) Energy Impact (kWh) Cooler: Shaded Pole to ECM: 1-14 Watt 50 14 0.9 100% 0.98 2.5 0.0461 404 Cooler: Shaded Pole to ECM: 16-23 Watt 93 30 0.9 100% 0.98 2.5 0.0802 703 Cooler: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 100% 0.98 2.5 0.1093 958 Freezer: Shaded Pole to ECM: 1-14 Watt 50 14 0.9 94.4% 0.98 1.3 0.0551 483 Freezer: Shaded Pole to ECM: 16-23 Watt 93 30 0.9 94.4% 0.98 1.3 0.0960 841 Freezer: Shaded Pole to ECM: 142 56 0.9 94.4% 0.98 1.3 0.1308 1146
Table : Strip Curtain Calculation Assumptions for Refrigerated Warehouses Term Unit Values Source , Efficacy of the new strip curtain – an efficacy of 1 corresponds to the strip curtain thwarting all infiltration, while an efficacy of zero corresponds to the absence of strip curtains. None 0.89 1 Efficacy of the old strip curtain with Pre-existing curtain with no Pre-existing curtain unknown None 0.58 0.00 0.54 1 Discharge Coefficient: empirically determined scale factors that account for differences between infiltration as rates predicted by application Bernoulli’s law and actual observed infiltration rates None 0.425 1 Minutes walk-in door is open per day 494 1 , Doorway area 80 1 , Doorway height 10 1 , Dry-bulb temperature of infiltrating air, Rankine = Fahrenheit + 459.67 59 1 and 2 , Dry-bulb temperature of refrigerated air, Rankine = Fahrenheit + 459.67 28 1 , Density of the infiltration air, based on 55% RH 0.076 3 , Enthalpy of the infiltrating air, based on 55% RH. 20.609 3 , Density of the refrigerated air, based on 80% RH. 0.081 3 , Enthalpy of the refrigerated air, based on 80% RH. 9.462 3 , Time-dependent (weather dependent) coefficient of performance of the refrigeration system. Based on nominal COP of 1.5 for freezers and 2.5 for coolers. None 1.91 1 and 2 The most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings according to store type. The strip curtains are not expected to be installed directly. As such, the program tracking / evaluation effort must capture the following key information: Fraction of strip curtains installed in each of the categories (e.g. freezer / cooler and store type) Fraction of customers that had pre-existing strip curtains
, the R-value of the ceiling insulation and support structure before the additional insulation is installed None For new construction buildings and when variable is unknown for existing buildings: See Table 3142 and Table 3143 for values by building type EDC Data Gathering; 2, 4 , the R-value of the wall insulation and support structure before the additional insulation is installed None For new construction buildings and when variable is unknown for existing buildings: See Table 3142 and Table 3143 for values by building type EDC Data Gathering; 3, 4 , Total R-value of all insulation after the additional insulation is installed None EDC Data Gathering EDC Data Gathering; , Equivalent full load cooling hours None Based on Logging, BMS data or Modeling EDC Data Gathering Default: See Table 323 5 , Demand Coincidence Factor None See Table 324 5 , Efficiency of existing HVAC equipment. Depending on the size and age, this will either be the SEER, IEER, or EER (use EER only if SEER or IEER are not available) Nameplate EDC Data Gathering Default: See Table 322 See Table 322 , Efficiency of the heating system None Nameplate EDC Data Gathering Default: See Table 322 See Table 322 Table : Ceiling R-Values by Building Type Building Type Ceiling Ri-Value (New Construction) Ceiling Ri-Value (Existing) Large Office Large Retail Lodging Health Education Grocery 20 9 Small Office Warehouse 24.4 13.4 Small Retail Restaurant Convenience Store 20 9
Acceptable baseline conditions are a non-cycling (e.g. continuous) air dryer with a capacity of 600 cfm or below. The replacement of desiccant, deliquescent, heat-of-compression, membrane, or other types of dryers does not qualify under this measure. Efficient conditions are a cycling thermal mass dryer with a capacity of 600 cfm or below. Table : Cycling Refrigerated Thermal Mass Dryer – Values and References Term Unit Values Source , Compressor output per HP EDC Data Gathering Default: 4 EDC Data Gathering 1 , Nominal HP rating of the air compressor motor HP Nameplate data EDC Data Gathering CFM/kWdryer, Ratio of compressor CFM to dryer kW EDC Data Gathering Default: 0.0087 EDC Data Gathering 2 , Chilled coil response time derate Hours EDC Data Gathering Default: 0.925 EDC Data Gathering 2 , Average compressor operating capacity None EDC Data Gathering Default: 65% EDC Data Gathering 3 , Annual hours of compressor operation EDC Data Gathering Default: See Table 3150 EDC Data Gathering 4 CF, Coincidence Factor None EDC Data Gathering Default: See Table 3151 EDC Data Gathering 5
Table : Air-entraining Air Nozzle – Values and References Term Unit Values Source , Baseline nozzle air mass flow CFM EDC Data Gathering Default: See Table 3153 1 , Energy efficient nozzle air mass flow CFM EDC Data Gathering Default: See Table 3154 2 , Ratio of compressor kW to CFM EDC Data Gathering Default: See Table 3155 3 , Annual hours of compressor operation EDC Data Gathering Default: See Table 3156 4 , Percent of hours when nozzle is in use None EDC Data Gathering Default: 5% 5 CF, Coincidence Factor None EDC Data Gathering Default: See Table 3157 6 Table : Baseline Nozzle Mass Flow Nozzle Diameter Air Mass Flow (CFM) 1/8” 21 1/4" 58 Table : Air Entraining Nozzle Mass Flow Nozzle Diameter Air Mass Flow (CFM) 1/8” 6 1/4" 11
Table : Variables for Dairy Scroll Compressors Term Unit Values Source , Baseline compressor efficiency None Baseline compressor manufacturers data based upon customer application EDC Data Gathering Default: 5.85 1 , Installed compressor efficiency None From nameplate EDC Data Gathering Heat load of milk per cow per day for a given refrigeration system System without precooler: 2,864 System with precooler: 922 2, 3 , Operating hours per day Customer application EDC Data Gathering Default: 8 hours 4 , Milking days per year Days Based on customer application EDC Data Gathering Default: 365 days/year 3, 4 , Average number of cows milked per day Cows Based on customer application EDC Data Gathering , Demand Coincidence factor None 0.00014 5 There are no default savings for this measure. For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Phase II Evaluation Framework provides specific guidelines and requirements for evaluation procedures.
Table : Variables for HVLS Fans Term Unit Values Source , Wattage of the removed conventional fans W Based on customer application EDC Data Gathering Default values in Table 49 1 , Wattage of the installed HVLS fan Based on customer application EDC Data Gathering Default values in Table 44 1 , annual hours of operation of the fans Hours Based on customer application EDC Data Gathering Default values in Table 410 2 , conversion of watts to kilowatts 1,000 Conversion Factor , Demand coincidence factor None 1.0 2 Table 49: Default Values for Conventional and HVLS Fan Wattages Fan Size (ft) ≥ 16 and < 18 761 4,497 ≥ 18 and < 20 850 5,026 ≥ 20 and < 24 940 5,555 ≥ 24 1,119 6,613
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16507 Erie 16508 Erie 16509 Erie 16510 Erie 16511 Erie 16512 Erie 16514 Erie 16515 Erie 16522 Erie 16530 Erie 16531 Erie 16532 Erie 16533 Erie 16534 Erie 16538 Erie 16541 Erie 16544 Erie 16546 Erie 16550 Erie 16553 Erie 16554 Erie 16563 Erie 16565 Erie 16601 Pittsburgh 16602 Pittsburgh 16603 Pittsburgh 16611 Harrisburg 16613 Pittsburgh 16616 Pittsburgh 16617 Williamsport 16619 Pittsburgh 16620 Williamsport 16621 Harrisburg 16622 Harrisburg 16623 Harrisburg 16624 Pittsburgh 16625 Pittsburgh 16627 Pittsburgh 16629 Pittsburgh 16630 Pittsburgh 16631 Harrisburg 16633 Harrisburg 16634 Harrisburg 16635 Pittsburgh 16636 Pittsburgh 16637 Pittsburgh 16638 Harrisburg 16639 Pittsburgh 16640 Pittsburgh 16641 Pittsburgh 16644 Pittsburgh 16645 Pittsburgh 16646 Pittsburgh 16647 Harrisburg 16648 Pittsburgh 16650 Harrisburg 16651 Williamsport 16652 Harrisburg 16654 Harrisburg 16655 Pittsburgh 16656 Pittsburgh 16657 Harrisburg 16659 Harrisburg 16660 Harrisburg 16661 Williamsport 16662 Harrisburg 16663 Williamsport 16664 Pittsburgh 16665 Pittsburgh 16666 Williamsport 16667 Pittsburgh 16668 Pittsburgh 16669 Harrisburg 16670 Pittsburgh 16671 Williamsport 16672 Harrisburg 16673 Pittsburgh 16674 Harrisburg 16675 Pittsburgh 16677 Williamsport 16678 Harrisburg 16679 Harrisburg 16680 Williamsport 16681 Williamsport 16682 Pittsburgh 16683 Williamsport 16684 Williamsport 16685 Harrisburg 16686 Williamsport 16689 Harrisburg 16691 Harrisburg 16692 Pittsburgh 16693 Harrisburg 16694 Harrisburg 16695 Harrisburg 16698 Williamsport 16699 Pittsburgh 16701 Erie 16720 Williamsport 16724 Williamsport 16725 Erie 16726 Erie 16727 Erie 16728 Erie 16729 Erie 16730 Williamsport 16731 Williamsport 16732 Erie 16733 Erie 16734 Erie 16735 Erie 16738 Erie 16740 Erie 16743 Williamsport 16744 Erie 16745 Erie 16746 Williamsport 16748 Williamsport 16749 Williamsport 16750 Williamsport 16801 Williamsport 16802 Williamsport 16803 Williamsport 16804 Williamsport 16805 Williamsport 16820 Williamsport 16821 Williamsport 16822 Williamsport 16823 Williamsport 16825 Williamsport 16826 Williamsport 16827 Williamsport 16828 Williamsport 16829 Williamsport 16830 Williamsport 16832 Williamsport 16833 Williamsport 16834 Williamsport 16835 Williamsport 16836 Williamsport 16837 Williamsport
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18039 Philadelphia 18040 Allentown 18041 Philadelphia 18042 Allentown 18043 Allentown 18044 Allentown 18045 Allentown 18046 Allentown 18049 Allentown 18050 Allentown 18051 Allentown 18052 Allentown 18053 Allentown 18054 Philadelphia 18055 Allentown 18056 Allentown 18058 Allentown 18059 Allentown 18060 Allentown 18062 Allentown 18063 Allentown 18064 Allentown 18065 Allentown 18066 Allentown 18067 Allentown 18068 Allentown 18069 Allentown 18070 Philadelphia 18071 Allentown 18072 Allentown 18073 Philadelphia 18074 Philadelphia 18076 Philadelphia 18077 Philadelphia 18078 Allentown 18079 Allentown 18080 Allentown 18081 Philadelphia 18083 Allentown 18084 Philadelphia 18085 Allentown 18086 Allentown 18087 Allentown 18088 Allentown 18091 Allentown 18092 Allentown 18098 Allentown 18099 Allentown 18101 Allentown 18102 Allentown 18103 Allentown 18104 Allentown 18105 Allentown 18106 Allentown 18109 Allentown 18175 Allentown 18195 Allentown 18201 Scranton 18202 Scranton 18210 Scranton 18211 Allentown 18212 Allentown 18214 Allentown 18216 Allentown 18218 Allentown 18219 Scranton 18220 Allentown 18221 Scranton 18222 Scranton 18223 Scranton 18224 Scranton 18225 Scranton 18229 Allentown 18230 Allentown 18231 Allentown 18232 Allentown 18234 Scranton 18235 Allentown 18237 Allentown 18239 Scranton 18240 Allentown 18241 Allentown 18242 Allentown 18244 Allentown 18245 Allentown 18246 Scranton 18247 Scranton 18248 Allentown 18249 Scranton 18250 Allentown 18251 Scranton 18252 Allentown 18254 Allentown 18255 Allentown 18256 Allentown 18301 Scranton 18302 Scranton 18320 Scranton 18321 Scranton 18322 Allentown 18323 Scranton 18324 Scranton 18325 Scranton 18326 Scranton 18327 Allentown 18328 Scranton 18330 Allentown 18331 Allentown 18332 Scranton 18333 Allentown 18334 Scranton 18335 Scranton 18336 Scranton 18337 Scranton 18340 Scranton 18341 Allentown 18342 Scranton 18343 Allentown 18344 Scranton 18346 Scranton 18347 Scranton 18348 Scranton 18349 Scranton 18350 Scranton 18351 Allentown 18352 Allentown 18353 Allentown 18354 Allentown 18355 Scranton 18356 Allentown 18357 Scranton 18360 Allentown 18370 Scranton 18371 Scranton 18372 Scranton 18373 Scranton 18401 Scranton 18403 Scranton 18405 Scranton 18407 Scranton 18410 Scranton
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19565 Allentown 19567 Harrisburg 19601 Allentown 19602 Allentown 19603 Allentown 19604 Allentown 19605 Allentown 19606 Allentown 19607 Allentown 19608 Allentown 19609 Allentown 19610 Allentown 19611 Allentown 19612 Allentown 19640 Allentown