Energy Project Financing : Resources and Strategies for Success

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Appendix B 367


— the volume of make-up water supplied to the pool each
month, as recorded by a separate uncalibrated sub-meter;

— the cafeteria kitchen hot water temperature and the number
and rating of all kitchen equipment; and

— the open hours of the cafeteria kitchen and the value of food
sales each month.


  • The baseyear energy use is shown on the above utility accounts
    spanning the period January 1998 to December 1998.

  • The baseyear energy data were analyzed as follows. Multiple lin-
    ear regression was performed on monthly energy use and demand,
    metering period length, and degree days (DD). Degree days data
    were derived from mean daily dry bulb temperature published
    monthly by the government weather service for the city where
    the school is located. No significant correlation with weather was
    found for electric demand, summer electricity use in the field
    house or summer gas use. Analysis found reasonable correla-
    tion between weather and winter gas use and the main electric-
    ity meter’s winter consumption. Therefore no other independent
    variables were sought. The energy per DD and energy per day
    data shown below describe the characteristics of the straight line
    relationship found by the regression analyses:


————————————————————————————————
Electricity
Gas
Demand Consumption Consumption
————————————————————————————————
Account Number KHJR3333-597 766A234-593 766B122-601
Units 103 ft^3 (10^3 m^3 ) kW-mo kWh kWh
Annual Total 10,238 (290) 5,782 1,243,000 62,000
————————————————————————————————
DD Base 15°C 16°C 20°C
Winter Energy/DD 2.55 39.61 18.12
Regression Energy/Day 9.16 2,640 20.1
Analysis CV (RMSE) 9% 18% 5%
————————————————————————————————

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