EERg Variable EDC Data Gathering AEPS Application; EDC’s Data Gathering EERsys Variable Calculated Calculated EERm Variable Default 8.69 SEER or EDC Data Gathering 14; EDC Data Gathering GSER Fixed 1.02 3 EFLHcool Default 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 Section 2.1.3); EDC Data Gathering EFLHheat Default 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 Section 2.1.3); EDC Data Gathering PSF Fixed 5% 5 MFcool Fixed 5% 15 MFheat Fixed 5% 15 CF Fixed 70% 6 HSPFb Fixed Replace on Burnout: 7.7 7 Variable Early Retirement: EDC Data Gathering EDC Data Gathering HSPFe Variable EDC Data Gathering AEPS Application; EDC’s Data Gathering HSPFm Fixed 6.8 13
Table 211: Assumptions and Results of Deemed Savings Calculations (Harrisburg, PA) Blower Motor kW Harrisburg EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings 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 Table 212: Assumptions and Results of Deemed Savings Calculations (Erie, PA) Blower Motor kW Erie EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings 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 Table 213: Assumptions and Results of Deemed Savings Calculations (Allentown, PA) Blower Motor kW Allentown EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings 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
PA TRM June 2010, coincident demand factor and Time Period Allocation Factors for ENERGY STAR Room AC. Measure Life Room Air Conditioner Retirement = 4 years From the PA TRM, the EUL for an ENERGY STAR Room Air Conditioner is 10 years, but the TRM does not provide an RUL for RACs. However, as shown in Table 224, the results from a recent evaluation of ComEd’s appliance recycling program found a median age of 21 to 25 years for recycled ACs. For a unit this old, the expected life of the savings is likely to be short, so 4 years was chosen as a reasonable assumption based on these references: DEER database, presents several values for EUL/RUL for room AC recycling: DEER 0607 recommendation: EUL=9, RUL=1/3 of EUL = 3 years. The 1/3 was defined as a “reasonable estimate”, but no basis given. 2005 DEER: EUL=15, did not have recycling RUL Appliance Magazine and ENERGY STAR calculator: EUL=9 years CA IOUs: EUL=15, RUL=5 to 7 “Out With the Old, in With the New: Why Refrigerator and Room Air Conditioner Programs Should Target Replacement to Maximize Energy Savings,” National Resources Defense Council, November 2001, page 21, 5 years stated as a credible estimate. From the PA TRM June 2010, if the ratio of refrigerator recycling measure life to ENERGY STAR measure life is applied: (8/13) * 10 years (for = 6 years for RAC recycling. Table 224: Preliminary Results from ComEd RAC Recycling Evaluation Appliance Type Age in Years N 0 to 5 6 to 10 11 to 15 16 to 20 21 to 25 26 to 30 31 to 35 36 to 40 Over 40 Room Air Conditioners 0% 5% 7% 18% 37% 18% 5% 6% 5% — Sources: Navigant Consulting evaluation of ComEd appliance recycling program.
For boilers, the annual pump energy consumption is negligible (<50 kWh per year) and not included in this calculation. There are no peak demand savings as it is a heating only measure. Although there is a significant electric savings, there is also an associated increase in natural gas energy consumption. While this gas consumption does not count against PA Act 129 energy savings, it is expected to be used in the program TRC test. The increased fossil fuel energy is obtained through the following formulas: Gas consumption with natural gas furnace: Definition of Terms CAPYelec heat = Total heating capacity of existing electric baseboards or electric furnace (BtuH) CAPYASHP heat = Total heating capacity of existing electric ASHP (BtuH) CAPYfuel heat = Total heating capacity of new natural gas furnace (BtuH) EFLHASHP = Equivalent Full Load Heating hours for Air Source Heat Pumps EFLHelec furnace = Equivalent Full Load Heating hours for Electric Forced Air Furnaces EFLHelec bb = Equivalent Full Load Heating hours for Electric Baseboard systems EFLHfuel furnace = Equivalent Full Load Heating hours for Fossil Fuel Furnace systems HSPFASHP = Heating Seasonal Performance Factor for existing heat pump (Btu/W▪hr) AFUEfuel heat = Annual Fuel Utilization Efficiency for the new gas furnace (%) HPmotor = Gas furnace blower motor horsepower (hp) ηmotor = Efficiency of furnace blower motor The default values for each term are shown in Table 238.
Table 238: Default values for algorithm terms, Fuel Switching, Electric Heat to Gas Heat Term Type Value Source CAPYelec heat Variable Nameplate EDC Data Gathering CAPYASHP heat Variable Nameplate EDC Data Gathering CAPYfuel heat Variable Nameplate EDC Data Gathering EFLHASHP Default 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 21, 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 Section 2.19.3) or EDC Data Gathering EFLHelec furnace Default 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 Section 2.19.3) or EDC Data Gathering EFLHelec bb Default 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 Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering
%Electric DHW Variable EDC Data Gathering Appliance Saturation Studies Default: 43% 3 %Dryerbase Fixed 54% 4 %DryerEE Fixed 69% 4 %Electric Dryer Variable EDC Data Gathering Appliance Saturation Studies Default: 64% 6 DSavCW Fixed 0.0147 7 CF Fixed 1 8 Sources: Energy Star Calculator, EPA research on available models. Accessed June 2013 EnergyStar Calculator, Average MEF and capacity of all ENERGY STAR qualified clothes washers. Accessed June 2013 3. Statewide average for all housing types from Pennsylvania Statewide Residential and Saturation Study, 2012, The percentage of total consumption that is used for the machine, water heating and dryer varies with efficiency. Perecentages were developed using the above parameters and using the U.S. Department of Energy’s Life-Cycle Cost and Payback Period tool, available at: EIA 2009 Residential Energy Consumption Survey (RECS) appliance data for the state of Pennsylvania. Energy and water savings based on Consortium for Energy Efficiency estimates. Assumes 75% of participants have gas water heating and 60% have gas drying (the balance being electric). Demand savings derived using NEEP screening clothes washer load shape. Coincidence factor already embedded in summer peak demand reduction estimate The default values for various fuel mixes are given in Table 262. Table 262: Default Clothes Washer Savings Fuel Mix ΔkWh Electric DHW/Electric Dryer 215 Use
actual wattage of the supplanted lights than the usage of the efficient LED lights, customer interviews should be considered as an appropriate channel for verification. Water Heater Tank Wrap Measure Name Water Heater Tank Wrap Target Sector Residential Measure Unit Tank Unit Energy Savings Varies Unit Peak Demand Reduction Varies Measure Life 7 years This measure applies to the installation of an insulated tank wrap or “blanket” to existing residential electric hot water heaters. The base case for this measure is a standard residential, tank-style, electric water heater with no external insulation wrap. Algorithms The annual energy savings for this measure are assumed to be dependent upon decreases in the overall heat transfer coefficient that are achieved by increasing the total R-value of the tank insulation. ΔkWh ΔkWpeak Definition of Terms Ubase = Overall heat transfer coefficient of water heater prior to adding tank wrap (Btu/Hr-F-ft2). Uinsul = Overall heat transfer coefficient of water heater after addition of tank wrap (Btu/Hr-F-ft2). R = 1/U Abase = Surface area of storage tank prior to adding tank wrap (square feet) Ainsul = Surface area of storage tank after addition of tank wrap (square feet). = Thermal efficiency of electric heater element
Capcool = Capacity of Air Cooling System (Btuh) Capheat = Capacity of heating system (Btuh) EFLHcool = Cooling equivalent full load hours SEER = Efficiency of cooling equipment EFLHheat = Heating equivalent full load hours TCFM = Conversion from tons of cooling to CFM COP = Efficiency of Heating Equipment DEafter = Distribution energy after duct sealing DEbefore = Distribution energy before duct sealing Table 298: Duct Sealing – Values and References Term Type Value Source CF Fixed 0.70 Table 2-1 CFM50Whole House Variable EDC Data Gathering EDC Data Gathering CFM50Envelope Only Variable EDC Data Gathering EDC Data Gathering SCF Variable Variable 5, 8 Conv Fixed 0.64 2 SLF Variable Default 0.5 or EDC Data Gathering 3, EDC Data Gathering RLF Variable Default 0.25 or EDC Data Gathering 4, EDC Data Gathering Cap Variable EDC Data Gathering EDC Data Gathering TCFM Fixed 400 5 SEER Variable Default 10 SEER or EDC Data Gathering 6, EDC Data Gathering COP Variable Default 2.0 COP or EDC Data Gathering 6, EDC Data Gathering EFLHcool Default Allentown Cooling = 487 Hours Erie Cooling = 389 Hours Harrisburg Cooling = 551 Hours Philadelphia Cooling = 591 Hours Pittsburgh Cooling = 432 Hours Table 21
Table 33: Baseline Exterior Lighting Power Densities Building Exterior Space Description LPD Uncovered Parking Area Parking Lots and Drives 0.15 W/ft2 Building Grounds Walkways less than 10 ft wide 1.0 W/linear foot Walkways 10 ft wide or greater 0.2 W/ft2 Plaza areas Special feature areas Stairways 1.0 W/ft2 Building Entrances and Exits Main entries 30 W/linear foot of door width Other doors 20 W/linear foot of door width Canopies and Overhangs Free standing and attached and overhangs 1.25 W/ft2 Outdoor sales Open areas (including vehicle sales lots) 0.5 W/ft2 Street frontage for vehicle sales lots in addition to “open area” allowance 20 W/linear foot Building facades 0.2 W/ft2 for each illuminated wall or surface or 5.0 W/linear foot for each illuminated wall or surface length Automated teller machines and night depositories 270 W per location plus 90 W per additional ATM per location Entrances and gatehouse inspection stations at guarded facilities 1.25 W/ft2 of uncovered area Loading areas for law enforcement, fire, ambulance, and other emergency service vehicles 0.5 W/ft2 of uncovered area Drive-through windows at fast food restaurants 400 W per drive-through Parking near 24-hour retail entrances 800 W per main entry
Table 321: Variables for HVAC Systems Component Type Value Source BtuH Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering EERbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 322 See Table 322 EERee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering SEERbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 322 See Table 322 SEERee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering COPbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 322 See Table 322 COPee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering HSPFbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 322 See Table 322 HSPFee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering CF Fixed 80% 2 EFLHcool Variable Based on Logging, BMS data or Modeling EDC’s Data Gathering Default values from Table 323 See Table 323 EFLHheat Variable Based on Logging, BMS data or Modeling EDC’s Data Gathering Default values from Table 324 See Table 324 Sources: The Equivalent Full Load Hours (ELFH) for Pennsylvania are calculated based on the degree day scaling methodology. The EFLH values reported in the Connecticut Program Savings Documentation were adjusted using full load hours (FLH) from the US DOE ENERGY STAR Calculator to account for differences in weather conditions. Degree day scaling ratios were calculated using heating degree day and cooling degree day values
Definition of Terms N = Number of motors replaced Wbase = Input wattage of existing/baseline evaporator fan motor Wee = Input wattage of new energy efficient evaporator fan motor LF = Load factor of evaporator fan motor DCEvapCool = Duty cycle of evaporator fan motor for cooler DCEvapFreeze = Duty cycle of evaporator fan motor for freezer DG = Degradation factor of compressor COP COPcooler = Coefficient of performance of compressor in the cooler COPfreezer = Coefficient of performance of compressor in the freezer PctCooler = Percentage of coolers in stores vs. total of freezers and coolers 8760 = Hours per year Table 335: Variables for High-Efficiency Evaporator Fan Motor Variable Type Value Source Wbase Variable Default Table 336 Nameplate Input Wattage EDC Data Gathering Wee Variable Default Table 336 Nameplate Input Wattage EDC Data Gathering LF Fixed 0.9 1 DCEvapCool Fixed 100% 2 DCEvapFreeze Fixed 94.4% 2 DG Fixed 0.98 3 COPcooler Fixed 2.5 1 COPfreezer Fixed 1.3 1 PctCooler Fixed 68% 4 Sources: PSC of Wisconsin, Focus on Energy Evaluation, Business Programs: Deemed Savings Manual V1.0, p. 4-103 to 4-106.
Table 337: 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 338: 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 339: 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: 1/20 HP (37 Watt) 142 56 0.9 94.4% 0.98 1.3 0.1308 1146 Table 340: 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) Shaded Pole to PSC 0.0380 333 0.0455 399 0.0404 354 PSC to ECM 0.0129 113 0.0154 135 0.0137 120 Shaded Pole to ECM 0.0509 446 0.0609 534 0.0541 474
Table 344: 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 345: 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
using the formula for CEE Tier 2 specifications. The two energy consumption values are then applied to the energy savings algorithm above. Table 352: Ice Machine Energy Usage Ice machine type Ice harvest rate (H) (lbs/day) Baseline energy use per 100 lbs of ice (kWhbase) High-efficiency energy use per 100 lbs of ice (kWhhe) Ice-Making Head <450 10.26 – 0.0086*H 9.23 – 0.0077*H ≥450 6.89 – 0.0011*H 6.20 – 0.0010*H Remote-Condensing w/out remote compressor <1000 8.85 – 0.0038*H 8.05 – 0.0035*H ≥1000 5.1 4.64 Remote-Condensing with remote compressor <934 8.85 – 0.0038*H 8.05 – 0.0035*H ≥934 5.3 4.82 Self-Contained <175 18 – 0.0469*H 16.7 – 0.0436*H ≥175 9.8 9.11 Measure Life Measure life = 10 years. Sources: Karas, A., Fisher, D. (2007), A Field Study to Characterize Water and Energy Use of Commercial Ice-Cube Machines and Quantify Saving Potential, Food Service Technology Center, December 2007, Energy-Efficient Products, How to Buy an Energy-Efficient Commercial Ice Machine, U.S. Department of Energy, Energy Efficiency and Renewable Energy, accessed August 2010 at Wall and Ceiling Insulation Wall and ceiling insulation is one of the most important aspects of the energy system of a building. Insulation dramatically minimizes energy expenditure on heating and cooling. Increasing the R-value of wall insulation above building code requirements generally lowers heating and
new Fixed 0.79 0.83 1 old with Pre-existing curtain with no Pre-existing curtain unknown Fixed 0.58 0.00 0.34 0.58 0.00 0.30 1 CD Fixed 0.348 0.421 1 topen (minutes/day) Fixed 38 9 1 A (ft2) Fixed 21 21 1 H (ft) Fixed 7 7 1 Ti (°F) Fixed 68 64 1 and 2 Tr (°F) Fixed 39 5 1 ρi Fixed 0.074 0.075 3 hi Fixed 25.227 23.087 3 ρr Fixed 0.079 0.085 3 hr Fixed 13.750 2.081 3 COPadj Fixed 3.07 1.95 1 and 2 Table 361: Strip Curtain Calculation Assumptions for Restaurant Component Type Value Source Cooler Freezer new Fixed 0.80 0.81 1 old with Pre-existing curtain with no Pre-existing curtain unknown Fixed 0.58 0.00 0.33 0.58 0.00 0.26 1 CD Fixed 0.383 0.442 1 topen (minutes/day) Fixed 45 38 1 A (ft2) Fixed 21 21 1 H (ft) Fixed 7 7 1 Ti (°F) Fixed 70 67 1 and 2 Tr (°F) Fixed 39 8 1 ρi Fixed 0.074 0.074 3
Eligibility For this measure, a no-heat/low-heat clear glass door must be installed on an upright display case. It is limited to door heights of 57 inches or more. Doors must have either heat reflective treated glass, be gas filled, or both. This measure applies to low temperature cases only—those with a case temperature below 0°F. Doors must have 3 or more panes. Total door rail, glass, and frame heater amperage (@ 120 volt) cannot exceed 0.39 amps per linear foot for low temperature display cases. Rebate is based on the door width (not including case frame). Algorithms The energy savings and demand reduction are obtained through the following calculations adopted from California’s Southern California Edison. Assumptions: Indoor Dry-Bulb Temperature of 75oF and Relative Humidity of 55%, (4-minute opening intervals for 16-second), neglect heat conduction through doorframe / assembly. Compressor Savings (excluding condenser): Δ kWcompressor = [Q-coolingsvg/EER/1000] Δ kWhcompressor = Δ kW x EFLH Q-coolingsvg = Q-cooling x K-ASH Anti-Sweat Heater Savings: Δ kWASH = Δ ASH / 1000 Δ kWhASH = Δ kWASH x t Definition of Terms The variables in the above equation are defined below: Q-cooling = Case rating by manufacturer (Btu/hr/door) Q-coolingsvg = Cooling savings (Btu/hr/door) Δ kWcompressor = Compressor power savings (kW/door) Δ kWASH = Reduction due to ASH (kW/door) K-ASH = % of cooling load reduction due to low anti-sweat heater (Btu/hr/door reduction) Δ ASH = Reduction in ASH power per door (watts/door) Δ kWhcompressor = Annual compressor energy savings (excluding condenser energy), (kWh/door) Δ kWhASH = Annual Reduction in energy (kWh/door) EER = Compressor rating from manufacturer (Btu/hr/Watts)
Table 3112: Floating Head Pressure Controls – Values and References Component Type Values Sources Variable EDC Data Gathering EDC Data Gathering kWh/HP Fixed Table 3113 1 COP Variable Based on design conditions EDC Data Gathering Default: Condensing Unit; Refrigerator (Medium Temp: 28 °F – 40 °F): 2.55 COP Freezer (Low Temp: -20 °F – 0 °F): 1.32 COP Remote Condenser; Refrigerator (Medium Temp: 28 °F – 40 °F): 2.49 COP Freezer (Low Temp: -20 °F – 0 °F): 1.45 COP 2 Tons Variable EDC Data Gathering EDC Data Gathering 4.715 Fixed Engineering Estimate 3 Sources: The deemed savings values were derived from the Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Floating Head Pressure Controls for Single Compressor Systems, FY2010, V1. Using RTF Deemed saving estimates for the NW climate zone, data was extrapolated to Pennsylvania climate zones by using cooling degree days comparison based on the locale. The given COP values are averaged based on the data from: Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Floating Head Pressure Controls for Single Compressor Systems, FY2010, V1. Conversion factor for compressor horsepower per ton: Table 3113: Annual Savings kWh/HP by Location Climate Zone Condensing Unit (kWh/HP) Remote Condenser (kWh/HP) Refrigerator (Medium Temp) Freezer (Low Temp) Default (Temp Unknown) Refrigerator (Medium Temp) Freezer (Low Temp) Default (Temp Unknown) Allentown 630 767 674 380 639 463 Erie 681 802 720 438 657 508
Table 3121: Heat Pump Water Heater Fuel Switch Calculation Assumptions Component Type Values Source EFbase, Energy Factor of baseline water heater Variable Default: 2 1 Nameplate EDC Data Gathering EFfuel, Energy Factor of installed fossil fuel water heater* Variable >=0.575 for Natural Gas and Propane >=0.495 for Oil 7, EDC Data Gathering Load, Average annual Load in kBTU Fixed Varies 5 Thot, Temperature of hot water Fixed 120 °F 2 Tcold, Temperature of cold water supply Fixed 55 °F 3 EnergyToDemandFactor Fixed 0.0001916 4 FAdjust, COP Adjustment factor Fixed 0.80 if outdoor 1.09 if indoor 1.30 if in kitchen 4 HW, Average annual gallons of Use Variable Default: See Table 3119 Calculation EDC Data Gathering EDC Data Gathering ResistiveDiscountFactor Fixed 0.90 6 EFNG, base, Energy Factor of baseline gas water heater Fixed 0.594 7 * For tankless water heaters, the EF should be at least 0.82 Sources: Federal Standards are 0.97 -0.00132 x Rated Storage in Gallons. Heat pump water heaters require an EF of at least 2.0. “Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct Heating Equipment, and Pool Heaters” US Dept of Energy Docket Number: EE–2006–BT-STD–0129, p. 30 Many states have plumbing codes that limit shower and bathtub water temperature to 120 °F. Mid-Atlantic TRM, footnote #24 The load shapes can be accessed online: DEER Database Engineering Estimate Federal Standards are 0.67 -0.0019 x Rated Storage in Gallons. For a 50-gallon tank this is 0.575 for natural gas/propane and 0.495 for oil. For a 40-gallon tank this is 0.594 for natural gas. “Energy Conservation Program: Energy Conservation Standards for
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