Table 21: 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 HOUeffbulb , Average hours of use per day per CFL 2.8 5 IEkWh , HVAC Interactive Effect for CFL or LED energy None EDC Data Gathering Default=Table 25 6 IEkW , HVAC Interactive Effect for CFL or LED demand None EDC Data Gathering Default= Table 25 6 ISReffbulbB , In-service rate per CFL or LED % 97% 2 WattsLED , Wattage of LED Watts EDC Data Gathering Data Gathering WattsTorch , Wattage of ENERGY STAR torchiere Watts EDC Data Gathering Data Gathering HOUTorch , 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 HOUIF , 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 HOUOF , 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 Decimal 0.091 3 Wattsfan , Wattage of ENERGY STAR Ceiling Fan light fixture Watts EDC Data Gathering Data Gathering HOUfan , Average hours of use per day per Ceiling Fan light fixture 3.5 4 ISRfan , In-service rate per Ceiling Fan fixture % 95% 4 Baseline Wattage Values – General Service Lamps N E V V T
Table 210: Residential Electric HVAC - References Component Unit Value Sources CAPYcool , The cooling capacity of the central air conditioner or heat pump being installed Btu/hr EDC Data Gathering AEPS Application; EDC Data Gathering CAPYheat , The heating capacity of the central air conditioner or heat pump being installed Btu/hr EDC Data Gathering AEPS Application; EDC Data Gathering SEERb , Seasonal Energy Efficiency Ratio of the Baseline Unit (split or package units) 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 (Central A/C) or 12 (ASHP) 2 Early Retirement: EDC Data Gathering Default= 8.69 14; EDC Data Gathering EERe , Energy Efficiency Ratio of the unit being installed For Central A/C: Or for ASHP: 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
EFLHcool , Equivalent Full Load Hours of operation during the cooling season for the average unit 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 4 Optional An EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis. Alternate EFLH Table (See Table 211); EDC Data Gathering EFLHheat , Equivalent Full Load Hours of operation during the heating season for the average unit 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 4 Optional An EDC can either use the Alternate EFLH Table or estimate its own EFLH based on customer billing data analysis. Alternate EFLH Table (See Table 212); EDC Data Gathering PSF , Proper Sizing Factor or the assumed savings due to proper sizing and proper installation None 0.05 5 MFcool , Maintenance Factor or assumed savings due to completing recommended maintenance on installed cooling equipment None 0.05 15 MFheat , Maintenance Factor or assumed savings due to completing recommended maintenance on installed heating equipment None 0.05 15 CF , Demand Coincidence Factor (See Section 1.5) Decimal 0.647 6 HSPFb , Heating Seasonal Replace on Burnout: 8.2 7
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 3.412 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 241 HW , Daily Hot Water Use 50 Table 241 Th , Hot Water Temperature °F 119 Table 241 Tc , Cold Water Temperature °F 55 Table 241 ETDF , Fixed “Energy to Demand Factor per desuperheater None 0.00008294 Table 241 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 0.105 18
Table 213: 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 2102, 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 214) 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 215) 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 216) 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
Assumption used in Illinois 2014 TRM, Ductless Heat Pumps Measure, pg. 531, footnote 877. Reasonable assumption when compared to and Residential HVAC and Distribution Research Implementation,. Berkeley Labs. May, 2002, pg 6. http://epb.lbl.gov/publications/pdf/lbnl-47214.pdf ENERGY STAR Measure Name Room Air Conditioners Target Sector Residential Establishments Measure Unit Room Air Conditioner Unit Energy Savings Varies Unit Peak Demand Reduction Varies Measure Life 9 years Vintage Replace on Burnout This measure relates to the purchase and installation of a room air conditioner meeting ENERGY STAR criteria. The general form of the equation for the ENERGY STAR Room Air Conditioners (RAC) measure savings algorithm is: Total Savings To 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 calculation.
Table 226: Room AC Retirement Calculation Assumptions Component Unit Value EFLHRAC , 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.). Table 227 1 EFLH cool , Full load hours from REM/Rate modeling Table 227 1 The Alternate values in Table 211 may be used AF , Adjustment factor for correcting current ES Room AC calculator EFLHs. None 0.31 2 CAPY , Rated cooling capacity (size) of the RAC unit. EDC Data Gathering Default : 7,870 3 EERRetRAC , The Energy Efficiency Ratio of the unit being retired-recycled. Default: 9.07; or EDC Data Gathering 4 EERee , The Energy Efficiency Ratio for an ENERGY STAR RAC 11.3 5 CEERbase , (for a 8,000 Btu/h unit), The Combined Energy Efficiency Ratio of a RAC that just meets the minimum federal appliance standard efficiency. 10.9 5 CEERee , (for a 8,000 Btu/h unit), The Combined Energy Efficiency Ratio for an ENERGY STAR RAC. EDC Data Gathering Default=11.2 5 CFrac , Demand Coincidence Factor Fraction EDC Data Gathering Default= 0.30 7 RAC Time Period Allocation Factors % 65.1%, 34.9%, 0.0%, 0.0% 6 Table 227: RAC Retirement-Only EFLH and Energy Savings by City City Original Hours (EFLH cool ) Corrected Hours (EFLHRAC) Energy Impact (kWh) Demand Impact (kW) Allentown 487 151 131 0.2603 Erie 389 121 105 Harrisburg 551 171 148 Philadelphia 591 183 159 Pittsburgh 432 134 116 Scranton 417 129 112 Williamsport 422 131 114 Room Air Conditioner Retirement = 4 years A
Calculate Energy Savings Methodology 3: Evaluation of Distribution Efficiency Determine Distribution Efficiency by evaluating duct system before and after duct sealing using Building Performance Institute “Distribution Efficiency Look-Up Table” Summer Coincident Peak Demand Savings Table 229: Duct Sealing – Values and References Term Unit Value Source CF , Demand Coincidence Factor (See Section 1.5) for central AC systems Decimal Default = 0.647 11 CFM50whole house , Duct leakage at 50 Pascal pressure differential EDC Data Gathering EDC Data Gathering CFM25DB , Cubic feet per minute of air leaving the duct system at 25 Pascals EDC Data Gathering 12 CFM25BASE , Standard Duct Leakage test result at 25 Pascal pressure differential of the duct system prior to sealing, calculated from the duct blaster fan flow chart EDC Data Gathering 12 CFM25EE , Standard Duct Leakage test result at 25 Pascal pressure differential of the duct system after sealing, calculated from the duct blaster fan flow chart EDC Data Gathering 12 CFM50envelope only , Standard Blower Door test result finding Cubic Feet per Minute at 50 Pascal pressure differential EDC Data Gathering EDC Data Gathering SCF , 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 Conservatory None Table 4, on pg 45 of Minneapolis Blower Door™ Operation Manual for Model 3 and Model 4 Systems (Source 10) 7, 10 Conv , Conversion factor from CFM50 to CFM25 None 0.64 2 SLF , Supply Loss Factor (% leaks sealed located in Supply ducts x 1) None EDC Data Gathering 4, EDC Data Gathering
Table 232: 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 = 0.0229 kW (Pittsburgh) Table 233: 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 = 0.0231 (Philadelphia) Table 234: 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 = 0.0231 kW (Harrisburg) Table 235: 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 = 0.0231 kW (Erie)
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 271 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 269. Table 271: 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 1. 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
CWEE , % of total energy consumption for ENERGY STAR clothes washer mechanical operation % 9% 4 DHWbase , % of total energy consumption attributed to baseline clothes washer water heating % 37% 4 DHWEE , % of total energy consumption attributed to ENERGY STAR clothes washer water heating % 22% 4 , % of total energy consumption attributed to ENERGY STAR clothes washer water heating % EDC Data Gathering Appliance Saturation Studies Default: 43% 3 Dryerbase , % of total energy consumption for baseline clothes washer dryer operation % 54% 4 DryerEE , % of total energy consumption for ENERGY STAR clothes washer dryer operation % 69% 4 , Percentage of dryers that are electric % EDC Data Gathering Appliance Saturation Studies Default: 76% 3 , Percentage of homes with a dryer that use the dryer every time clothes are washed % Default= 95% Or EDC data gathering 5 , average duration of a clothes washer cycle hours 1 6 CF , Demand Coincidence Factor. The coincidence of average clothes washer demand to summer system peak Fraction 0.029 7 The default values for various fuel mixes are given in Table 279. Table 279: Default Clothes Washer Savings Fuel Mix
Table 2101: Smart Strip Plug Outlet Calculation Assumptions Parameter Unit Value Source kWcomp , Idle kW of computer system kW 0.0049 (5-plug) 0.00588 (7-plug) 1,2,4 HOUcomp , Daily hours of Computer idle time 20 1 kWTV , Idle kW of TV system kW 0.0085 (5-plug) 0.0102 (7-plug) 1,4 HOUTV , Daily hours of TV idle time 20 1 ISR , In-Service Rate Fraction EDC Data Gathering Default = 1.0 CF , Coincidence Factor Fraction Entertainment Center: 0.90 Unspecified Use: 0.832 3 kWh = 48.9 kWh (5-plug power strip, unspecified use or multiple purchsed) 58.7 kWh (7-plug power strip, unspecified use or multiple purchased) 62.1 kWh (5-plug power strip, entertainment center) 74.5 kWh (7-plug power strip, entertainment center) kWpeak = 0.0056 kW (5-plug power strip, unspecified use or multiple purchase) 0.0067 kW (7-plug power strip, unspecified use, or multiple purchased) 0.0077 kW (5-plug power strip, entertainment center) 0.0092 kW (7 plug power strip, entertainment center) The most appropriate evaluation protocol for this measure is verification of installation coupled with assignment of stipulated energy savings. “Electricity Savings Opportunities for Home Electronics and Other Plug-In Devices in Minnesota Homes”, Energy Center of Wisconsin, May 2010.
Nameplate EDC Data Gathering EERGSHP , Energy Efficiency Ratio of existing home ground source heat pump Default for Ground Source Heat Pump = 13.4 Default for Groundwater Source Heat Pump = 16.2 5 Nameplate EDC Gathering GSER , Factor to determine the SEER of a GSHP based on its EER None 1.02 6 COPGSHP , Coefficient of Performance for existing home ground source heat pump None Default for Ground Source Heat Pump = 3.1 Default for Groundwater Source Heat Pump = 3.6 5 Nameplate EDC Gathering GSOP , Factor to determine the HSPF of a GSHP based on its COP 3.412 7 GSHPDF , Ground Source Heat Pump De-rate Factor None 0.885 (Engineering Estimate - See 2.2.1) CFCAC , Demand Coincidence Factor for central AC systems Fraction 0.647 8 CFRAC , Demand Coincidence Factor for Room AC systems Fraction 0.647 9 CFASHP , Demand Coincidence Factor for ASHP systems Fraction 0.647 8 CFGSHP , Demand Coincidence Factor for GSHP systems Fraction 0.647 8 FRoom,AC , Adjustment factor to relate insulated area to area served by Room AC units None 0.38 Calculated CDD , Cooling Degree Days Table 2103 10 HDD , Heating Degree Days Table 2103 10 EFLHcool , Equivalent Full Load Cooling hours for Room AC Table 2103 11 EFLHcool RAC, Equivalent Full Load Cooling hours for Central AC and ASHP Table 2103 12
Savings adjustment factors and reduced EULs for standard T-8, HPT8 and T5 measures are in Table 32, Table 33, and Table 34 below. For all lighting fixture improvements (without control improvements), the following algorithms apply: Table 31: Variables for Retrofit Lighting Term Unit Values Source ,Connected load of the baseline lighting as defined by project classification kW See Standard Wattage Table in Appendix C Appendix , Connected load of the post-retrofit or lgithing system kW See Standard Wattage Table in Appendix Appendix , Savings factor for existing lighting control (percent of time the lights are off) None EDC Data Gathering EDC Data Gathering Default: See Table 35 See Table 35 , Demand Coincidence Factor Decimal EDC Data Gathering EDC Data Gathering Default: See Table 36 See Table 36 , Hours of Use – the average annual operating hours of the baseline lighting equipment, which if applied to full connected load will yield annual energy use. EDC Data Gathering EDC Data Gathering Default: See Table 36 See Table 36 , Interactive 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 Default: See Table 37 See Table 37 , Interactive Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from decreased indoor lighting wattage. None Default: See Table 37 See Table 37 Table 32: 2016 Savings Adjustment Factors and Adjusted EULs for Standard T-8 Measures Fixture Type Savings Adjustment Factor Adjusted EUL T12 EEmag ballast and 34 w lamps T12 EEmag ballast and 40 w lamps T12 mag ballast and 40 w lamps T12 EEmag ballast and 34 w lamps T12 EEmag ballast and 40 w lamps T12 mag ballast and 40 w lamps
classrooms 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 36: 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
Restrooms 0.9 Low (<25 ft. Floor to Ceiling Height) 1.2 Dressing/Locker/Fitting Room 0.6 High (>25 ft. Floor to Ceiling Height) 1.7 Corridor/Transition 0.5 Detailed Manufacturing 2.1 For Hospital 1.0 Equipment Room 1.2 For Manufacturing Facility 0.5 Control Room 0.5 Stairs—Active 0.6 Hotel/Motel Guest Rooms 1.1 Active Storage 0.8 Dormitory—Living Quarters 1.1 For Hospital 0.9 Museum Inactive Storage 0.3 General Exhibition 1.0 For Museum 0.8 Restoration 1.7 Electrical/Mechanical 1.5 Bank/Office—Banking Activity Area 1.5 Workshop 1.9 Religious Buildings Sales Area 1.7 Worship Pulpit, Choir 2.4 Fellowship Hall 0.9 Retail Sales Area [For accent lighting, see 9.3.1.2.1(c)] 1.7 Concourse 1.7 Sports Arena Ring Sports Area 2.7 Court Sports Area 2.3 Indoor Playing Field Area 1.4 Warehouse Fine Material Storage 1.4 Medium/Bulky Material Storage 0.9 Parking Garage—Garage Area 0.2 Transportation Airport—Concourse 0.6 Air/Train/Bus—Baggage Area 1.0 Terminal—Ticket Counter 1.5 Table 311: Baseline Exterior Lighting Power Densities
Efficiency ratings in kW/ton Table 327: Electric Chiller Variables Term Unit Values Source , The capacity of the chiller at site design conditions accepted by the program Tons Nameplate Data EDC Data Gathering , Design Rated Efficiency of the baseline chiller. Early Replacement: Nameplate Data EDC Data Gathering New Construction or Replace on Burnout: Default value from Table 328 See Table 328 , Design Rated Efficiency of the energy efficient chiller from the manufacturer data and equipment ratings in accordance with ARI Standards. Nameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in Table 328 EDC Data Gathering , Energy Efficiency Ratio of the baseline unit. Early Replacement: Nameplate Data EDC Data Gathering New Construction or Replace on Burnout: Default value from Table 328 See Table 328 , Energy Efficiency Ratio of the efficient unit from the manufacturer data and equipment ratings in accordance with ARI Standards. Nameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in Table 328 EDC Data Gathering , Integrated Part Load Value of the baseline unit. None or New Construction or Replace on Burnout: See Table 328 See Table 328 , Integrated Part Load Value of the efficient unit. None or Nameplate Data (ARI Standards 550/590). At minimum, must satisfy standard listed in Table EDC Data Gathering
328 , Demand Coincidence Factor Decimal See Table 330 1 , Equivalent Full Load Hours – The kWh during the entire operating season divided by the kW at design conditions. The most appropriate EFLH shall be utilized in the calculation. Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 329 1 Table 328: 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 Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 324 2 , Heating annual Equivalent Full Load Hours EFLH for Commercial HVAC for different occupancies Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 326 2 , Demand Coincidence Factor for Commercial HVAC Decimal See Table 325 2 , Demand Coincidence Factor for ground source loop pump Decimal If unit runs 24/7/365, CF=1.0; If unit runs only with heat pump unit compressor, See Table 325 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 333 See Table 333 , efficiency of base case ground loop pump at design point None Nameplate EDC Data Gathering If unknown, assume program compliance efficiency in Table 334 See Table 334 , Run hours of base case ground loop pump motor Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 324 and Table 326 2 , Horsepower of retrofit case ground loop pump motor HP Nameplate EDC Data Gathering
, Load factor of the retrofit 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 retrofit case ground loop pump motor None Nameplate EDC Data Gathering If unknown, assume the federal minimum efficiency requirements in Table 333 Table 333 , efficiency of retrofit case ground loop pump at design point None Nameplate EDC Data Gathering If unknown, assume program compliance efficiency in Table 334 See Table 334 , Run hours of retrofit case ground loop pump motor Hours Based on Logging, BMS data or Modeling EDC Data Gathering Default values from Table 324 and Table 326 2 3.412, conversion factor from kWh to kBtu 3.412 Conversion Factor 0.746, conversion factor from horsepower to kW 0.746 Conversion Factor Note: For water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance.
Table 341: Refrigerant Charge Correction Calculations Assumptions Term Unit Values Source , Unit capacity for cooling From nameplate EDC Data Gathering , Unit capacity for heating From nameplate EDC Data Gathering EER, Energy Efficiency Ratio. For A/C and heat pump units < 65,000 , SEER should be used for cooling savings. From nameplate EDC Data Gathering Default: See Table 323 See Table 323 IEER, Integrated energy efficiency ratio of the baseline unit. From nameplate EDC Data Gathering Default: See Table 323 See Table 323 SEER, Seasonal Energy Efficiency Ratio. For A/C and heat pump units > 65,000 , EER should be used for cooling savings. From nameplate EDC Data Gathering Default: See Table 323 See Table 323 HSPF, Heating Seasonal Performance Factor. For heat pump units > 65,000 , COP should be used for heating savings. From nameplate EDC Data Gathering Default: See Table 323 See Table 323 COP, Coefficient of Performance. For heat pump units < 65,000 , HSPF should be used for heating savings. None From nameplate EDC Data Gathering Default: See Table 323 See Table 323 , Equivalent Full-Load Hours for mechanical cooling Default: See Table 324 1 Based on Logging, BMS data or Modeling EDC Data Gathering , Equivalent Full-Load Hours for Heating See Table 326 1 RCF, COP Degradation Factor for Cooling None See Table 342 2 CF, Demand Coincidence Factor Decimal See Table 325 1 1000, convert from watts to kilowatts Conversion Factor 11.3/13, Conversion factor from SEER to EER, based on average EER of a SEER 13 unit None 3 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 348: Energy Savings for Guest Room Occupancy Sensors – Motels HVAC Type Baseline ESF; Energy Savings Factor (kWh/Ton) PTAC with Electric Resistance Heating Housekeeping Setback 559 No Housekeeping Setback 1,877 PTAC with Gas Heating Housekeeping Setback 85 No Housekeeping Setback 287 PTHP Housekeeping Setback 260 No Housekeeping Setback 1,023 Table 349: Energy Savings for Guest Room Occupancy Sensors – Hotels HVAC Type Baseline ESF; Energy Savings Factor (kWh/Ton) PTAC with Electric Resistance Heating Housekeeping Setback 322 No Housekeeping Setback 1,083 PTAC with Gas Heating Housekeeping Setback 259 No Housekeeping Setback 876 PTHP Housekeeping Setback 283 No Housekeeping Setback 1,113 Central Hot Water Fan Coil with Electric Resistance Heating Housekeeping Setback 245 No Housekeeping Setback 822 Central Hot Water Fan Coil with Gas Heating Housekeeping Setback 182 No Housekeeping Setback 615 Table 350: Peak Demand Savings for Guest Room Occupancy Sensors – Motels HVAC Type Baseline DSF; Demand Savings Factor (kW/Ton) PTAC with Electric Resistance Heating Housekeeping Setback 0.10 No Housekeeping Setback 0.28 PTAC with Gas Heating Housekeeping Setback 0.10 No Housekeeping Setback 0.28 PTHP Housekeeping Setback 0.10 No Housekeeping Setback 0.28
Table 352: Economizer – Values and References Term Unit Values Source , Savings factor; Annual cooling load savings per unit area of conditioned space in the building when compared with a baseline HVAC system with no economizer. 0.002 1 , Area of conditioned space served by controlled unit ft2 EDC Data Gathering , Free cooling hours with outdoor temperature between 60 and 70 F. Typical operating hour conditions are defined below with standard climate zones for PA. See Table 353 2 , 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) EDC Data Gathering Default: See Table 354 3 Table 353: FCHr for PA Climate Zones and Various Operating Conditions Location FCHr by Operating Schedule Operating Schedule 1 Shift, 5 days per week 2 Shift, 5 days per week 3 Shift, 5 days per week 24/7 Allentown 419 653 1057 1688 Erie 384 606 977 1563 Harrisburg 377 605 1000 1746 Philadelphia 413 634 1050 1694 Pittsburgh 401 603 947 1622 Scranton 465 705 1117 1787 Williamsport 383 605 1004 1682
Table 386: Heat Pump Water Heater Fuel Switch Calculation Assumptions Term Unit Values Source , Energy Factor of baseline water heater None Default: >= 2 1 Nameplate EDC Data Gathering , Energy Factor of installed fossil fuel water heater* None >=0.67 for Natural Gas and Propane >=0.495 for Oil 7, EDC Data Gathering , Energy Factor of installed tankless water heater None >=0.82 7 , Fossil Fuel Water Heaters Derating Adjustment factor None Storage Water Heaters: 1.0 Tankless Water Heaters: 0.91 8 Load, Average annual load kBtu Varies 5 , Temperature of hot water °F 119 2 , Temperature of cold water supply °F 55 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 HW, Average annual gallons of use Gallons Default: See Table 384 Calculation EDC Data Gathering EDC Data Gathering RDF, Resistive Discount Factor None 0.90 6 , Energy Factor of baseline gas water heater, see 3.4.2 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.
Measure Name High-Efficiency Evaporator Fan Motors for Reach-In Refrigerated Cases Target Sector Commercial and Industrial Establishments Measure Unit Evaporator Fan Motor Unit Energy Savings Variable Unit Peak Demand Reduction Variable Measure Life 15 years Measure Vintage Early Replacement This protocol covers energy and demand savings associated with the replacement of existing shaded-pole evaporator fan motors or Permanent Split Capacitor (PSC) motors in reach-in refrigerated display cases with an Electronically Commutated (ECM). This measure is not applicable for new construction or replace on burnout projects. default savings option is offered if case temperature and/or motor size are not known. However, these parameters should be collected by EDCs for greatest accuracy. There are two sources of energy and demand savings through this measure: The direct savings associated with replacement of an inefficient motor with a more efficient one; The indirect savings of a reduced cooling load on the refrigeration unit due to less heat gain from the more efficient evaporator fan motor in the air-stream. Cooler
Table 394: 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 395 Table 395 , Input wattage of new energy efficient evaporator fan motor W Nameplate Input Wattage EDC Data Gathering Default values from Table 395 Table 395 , 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 395: 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 396: 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 3102: 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: 1/40 HP (16-23 Watt) 93 30 0.9 100% 0.98 2.5 0.0798 661 Cooler: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 100% 0.98 2.5 0.1090 902 Cooler: Shaded Pole to ECM: 1/15 HP (49 Watt) 191 75 0.9 100% 0.98 2.5 0.1470 1,216 Freezer: Shaded Pole to ECM: 1/40 HP (16-23 Watt) 93 30 0.9 94.4% 0.98 1.3 0.0955 790 Freezer: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 94.4% 0.98 1.3 0.1304 1,079 Freezer: Shaded Pole to ECM: 1/15 HP (49 Watt) 191 75 0.9 94.4% 0.98 1.3 0.1759 1,455 Table 3103: Default High-Efficiency Evaporator Fan Motor Deemed Savings Measure Cooler Weighted Demand Impact (kW) Cooler Weighted Energy Impact (kWh) Freezer Weighted Demand Impact (kW) Freezer Weighted Energy Impact (kWh) Default Demand Impact (kW) Default Energy Impact (kWh) PSC to ECM 0.0469 388 0.0561 464 0.0499 413 Shaded Pole to ECM 0.1258 1,041 0.1506 1,246 0.1335 1,105 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.
Factor Refrigerator/Cooler , Per door power consumption of cooler case ASHs without controls kW 0.109 1 , Percent of time cooler case ASH with controls will be off during the peak period None 20% 1 , Percent of time cooler case ASH with controls will be off annually None 85% 1 , Demand diversity factor of cooler, accounting for the fact that not all anti-sweat heaters in all buildings in the population are operating at the same time. None 1 3 , Coefficient of performance of cooler None 2.5 1 Freezer , Per door power consumption of freezer case ASHs without controls kW 0.191 1 , Percent of time freezer case ASH with controls will be off during the peak period None 10% 1 , Percent of time freezer case ASH with controls will be off annually None 75% 1 , Demand diversity factor of freezer, accounting for the fact that not all anti-sweat heaters in all buildings in the population are operating at the same time. None 1 3 , Coefficient of performance of freezer None 1.3 1 , Typical percent of cases that are medium-temperature refrigerator/cooler cases None 68% 4
Table 3115: Strip Curtain Calculation Assumptions for Supermarkets Term Unit Values Source Cooler Freezer , 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 0.88 0.88 1 Efficacy of the old strip curtain with Pre-existing curtain with no Pre-existing curtain unknown None 0.58 0.00 0.00 0.58 0.00 0.00 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 0.366 0.415 1 Minutes walk-in is open per day 132 102 1 , Doorway area 35 35 1 , Doorway height 7 7 1 , Dry-bulb temperature of infiltrating air, Rankine = Fahrenheit + 459.67 71 67 1 and 2 , Dry-bulb temperature of refrigerated air, Rankine = Fahrenheit + 459.67 37 5 1 , Density of the infiltration air, based on 55% RH 0.074 0.074 3 , Enthalpy of the infiltrating air, based on 55% RH. 26.935 24.678 3 , Density of the refrigerated air, based on 80% RH. 0.079 0.085 3 , Enthalpy of the refrigerated air, based on 80% RH. 12.933 2.081 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 3.07 1.95 1 and 2
The reference values for each component of the energy impact algorithm are shown in Table 3133. default duty cycle (D) is provided as based on referenced values from several studies, however, EDC data gathering may be used to adjust the duty cycle for custom applications. Table 3133: Ice Machine Reference Values for Algorithm Components Term Unit Values Source , Baseline ice machine energy usage per 100 lbs. of ice Table 3134 1 , High-efficiency ice machine energy usage per 100 lbs. of ice Table 3135 2 , Ice harvest rate per 24 hrs. Manufacturer Specs EDC Data Gathering , Duty cycle of ice machine expressed as a percentage of time machine produces ice None Custom EDC Data Gathering Default: 0.4 3 365, Days per year 365 Conversion Factor 100, Conversion to obtain energy per pound of ice 100 Conversion Factor 8760, Hours per year 8,760 Conversion Factor Ice maker type None Manufacturer Specs EDC Data Gathering , Demand Coincidence Factor Decimal 0.77 4
Table 3154: Air-entraining Air Nozzle – Values and References Term Unit Values Source , Baseline nozzle air mass flow CFM EDC Data Gathering Default: See Table 3155 1 , Energy efficient nozzle air mass flow CFM EDC Data Gathering Default: See Table 3156 2 , Ratio of compressor kW to CFM EDC Data Gathering Default: See Table 3157 3 , Annual hours of compressor operation EDC Data Gathering Default: See Table 3158 4 , Percent of hours when nozzle is in use None EDC Data Gathering Default: 5% 5 CF, Coincidence Factor Decimal EDC Data Gathering Default: See Table 3159 6 Table 3155: Baseline Nozzle Mass Flow Nozzle Diameter Air Mass Flow (CFM) 1/8” 21 1/4" 58 Table 3156: Air Entraining Nozzle Mass Flow Nozzle Diameter Air Mass Flow (CFM) 1/8” 6 1/4" 11
the ENERGY STAR qualified product list from November 18th, 2013. The ratios listed in Table 3166 are based on the average idle to full load ratios for all ENERGY STAR qualified servers in each server category. The coincident peak demand factor was assumed to be 100% since the servers operate 24 hours per day, 365 days per year and the demand reduction associated with this measure is constant. The three International Data Corporation (IDC) studies indicate organizations replace their servers once every three to five years IDC (February 2012). “The Cost of Retaining Aging IT Infrastructure.” Sponsored by HP. Online. IDC (2010). “Strategies for Server Refresh.” Sponsored by Dell. Online. DC (August 2012). “Analyst Connection: Server Refresh Cycles: The Costs of Extending Life Cycles.” Sponsored by HP/Intel. Online.
Table 43: Variables for Ventilation Fans Term Unit Values Source , Quantity of the standard efficiency fans None Based on customer application EDC Data Gathering , Quantity of high efficiency fans that were installed None Based on customer application EDC Data Gathering , Efficiency of the standard efficiency fan at a static pressure of 0.1 inches water Based on customer application EDC Data Gathering Default values in Table 44 1 , Efficiency of the high efficiency fan at a static pressure of 0.1 inches water Based on customer application. EDC Data Gathering, 2, 3 Default values in Table 44 1, 2, 3 , Efficiency at a static pressure of 0.1 inches water for the installed fans controlled by the thermostat Based on customer application. EDC Data Gathering, 2, 3 Default values in Table 44. If fans were not replaced, use the default values for. If fans were replaced, use the default values for . 1, 2, 3 , operating hours per year of the fan without thermostat Hours Based on customer application EDC Data Gathering Default use values in Table 45 1, 4 , cubic feet per minute of air movement Based on customer application. This can vary for pre- and post-installation if the information is known for the pre-installation case. EDC Data Gathering Default values in Table 44 1 , reduction in operating hours of the fan due to the thermostat Hours Default values in Table 46 4 1,000, watts per kilowatt 1,000 Conversion Factor , demand coincidence factor Decimal 0.000197 Engineering calculations Table 44: Default values for standard and high efficiency ventilation fans for dairy and swine facilities Fan Size (inches) High Efficiency Fan (cfm/W at 0.1 inches water) Standard Efficiency Fan (cfm/W at 0.1 inches water) CFM 14-23 12.4 9.2 3,600 24-35 15.3 11.2 6,274 36-47 19.2 15.0 10,837 48 - 61 22.7 17.8 22,626
Golf Course applications: No peak demand savings may be claimed for golf course applications as watering typically occurs during non-peak demand hours. Table 413: Variables for Low Pressure Irrigation Systems Term Unit Values Source , Number of acres irrigated Acres Based on customer application EDC Data Gathering,1 , Baseline pump pressure, must be measured and recorded prior to installing low-pressure irrigation equipment. Pounds per square inch (psi) Based on pre retrofit pressure measurements taken by the installer EDC Data Gathering,1 , Installed pump pressure, must be measured and recorded after the installation of low-pressure irrigation equipment by the installer. Pounds per square inch (psi) Based on post retrofit pressure measurements taken by the installer EDC Data Gathering,1 , Pump flow rate per acre for agriculture applications. Gallons per minute (gpm) Based on pre retrofit flow measurements taken by the installer EDC Data Gathering,1 , Pump flow rate for pumping system for golf courses. Gallons per minute (gpm) Based on pre retrofit flow measurements taken by the installer EDC Data Gathering,1 1714, Constant used to calculate hydraulic horsepower for conversion between horsepower and pressure and flow None Conversion Factor , Average irrigation hours per growing season for agriculture Hours Based on customer application EDC Data Gathering , Hours of watering per day for golf courses Hours Based on customer application EDC Data Gathering , Number of months of irrigation for golf courses Months Based on customer application EDC Data Gathering , Pump motor efficiency None Based on customer application EDC Data Gathering Look up pump motor efficiency based on the pump nameplate horsepower (HP) from customer application and nominal efficiencies defined in Table 354 2 , Demand coincidence factor for agriculture Decimal 0.0026 3, 4
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