Table : LED: Refrigeration Case Lighting – Values and References Term Unit Values Source EDC Data , Connected wattage of baseline fixtures W EDC Data Gathering Gathering EDC Data , Connected wattage of efficient fixtures W EDC Data Gathering Gathering EDC Data , Number of doors None EDC Data Gathering Gathering EDC Data Gathering , Annual operating hours 1 Default: 6,205 Refrigerator and , Interactive Effects factor for energy to account for cooler: 0.41 None 2 cooling savings from efficient lighting Freezer: 0.52 , Coincidence factor Decimal 0.92 3 Conversion , Conversion factor from watts to kilowatts 1000 Factor Default savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data. For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. Theobald, M. A., Emerging Technologies Program: Application Assessment Report #0608, LED Supermarket Case Lighting Grocery Store, Northern California, Pacific Gas and Electric Company, January 2006. <>. Assumes 6,205 annual operating hours and 50,000 lifetime hours. Most case lighting runs continuously (24/7) but some can be controlled. 6,205 annual hours of use can be used to represent the mix. Using grocery store hours of use (4,660 hr) is too conservative since case lighting is not tied to store lighting. Values adopted from Hall, N. et al, New York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in Commercial and Industrial Programs, TecMarket Works, September 1, 2009. Methodology adapted from Kuiken et al, of Wisconsin Public Service Commission of “State Wisconsin Focus on Energy Evaluation Business Programs: Deemed Savings Parameter KEMA, November 13, 2009, assuming summer coincident peak period is Development”,
Table : LED: Refrigeration Case Lighting – Values and References Term Unit Values Source , Connected wattage of baseline fixtures W EDC Data Gathering EDC Data Gathering , Connected wattage of efficient fixtures W EDC Data Gathering EDC Data Gathering , Number of doors None EDC Data Gathering EDC Data Gathering , Annual operating hours EDC Data Gathering Default: 6,205 1 , Interactive Effects factor for energy to account for cooling savings from efficient lighting None Refrigerator and cooler: 0.41 Freezer: 0.52 2 , Coincidence factor Decimal 0.92 3 , Conversion factor from watts to kilowatts 1000 Conversion Factor Default savings may be claimed using the algorithms above and the variable defaults. EDCs may also claim savings using customer specific data. For most projects, the appropriate evaluation protocol is to verify installation and proper selection of default values. For projects using customer specific data for open variables, the appropriate evaluation protocol is to verify installation and proper application of TRM protocol along with verification of open variables. The Pennsylvania Evaluation Framework provides specific guidelines and requirements for evaluation procedures. Theobald, M. A., Emerging Technologies Program: Application Assessment Report #0608, LED Supermarket Case Lighting Grocery Store, Northern California, Pacific Gas and Electric Company, January 2006. <>. Assumes 6,205 annual operating hours and 50,000 lifetime hours. Most case lighting runs continuously (24/7) but some can be controlled. 6,205 annual hours of use can be used to represent the mix. Using grocery store hours of use (4,660 hr) is too conservative since case lighting is not tied to store lighting. Values adopted from Hall, N. et al, New York Standard Approach for Estimating Energy Savings from Energy Efficiency Measures in Commercial and Industrial Programs, TecMarket Works, September 1, 2009. Methodology adapted from Kuiken et al, “State of Wisconsin Public Service Commission of Wisconsin Focus on Energy Evaluation Business Programs: Deemed Savings Parameter Development”, KEMA, November 13, 2009, assuming summer coincident peak period is
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