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An integrated engineering-econometric analysis of residential balance point temperatures

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  • Dubin, Jeffrey A.

Abstract

This paper examines the theoretical and empirical properties of residential balance point temperatures. Heating-degree type measures in energy load temperature models are typically used because heating load should be zero when temperatures are larger than the base (balance point) level. Thermostat setting and the insulation properties of the residential shell determine the balance point temperature. Proper measurement of balance point temperatures is important in selecting the base temperature used in heating and cooling degree measures. I apply an engineering thermal load model to impute balance point temperatures for residential households in the Puget Sound Energy Washington service territory. The distribution of implied balance point temperatures suggests that heating degree measures base 65 °F inadequately capture the non-linear relationship between load and temperature due to prevalence of low balance point households.

Suggested Citation

  • Dubin, Jeffrey A., 2008. "An integrated engineering-econometric analysis of residential balance point temperatures," Energy Economics, Elsevier, vol. 30(5), pages 2537-2551, September.
    • Handle: RePEc:eee:eneeco:v:30:y:2008:i:5:p:2537-2551
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    References listed on IDEAS

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    1. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    2. Dubin, Jeffrey A & Henson, Steven E, 1988. "An Engineering/Econometric Analysis of Seasonal Energy Demand and Conservation in the Pacific Northwest," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(1), pages 121-134, January.
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    1. Hu, Wenxuan & Scholz, Yvonne & Yeligeti, Madhura & Deng, Ying & Jochem, Patrick, 2024. "Future electricity demand for Europe: Unraveling the dynamics of the Temperature Response Function," Applied Energy, Elsevier, vol. 368(C).
    2. Meng, Xiangxin & Yang, Liu & Wang, Shangyu & Lyu, Kailin & Cao, Qimeng & Liu, Yan, 2024. "Methods of determining thresholds of climate variables in building thermal design zoning in China," Energy, Elsevier, vol. 308(C).
    3. Park, Somin & Shim, Jisoo & Song, Doosam, 2021. "Issues in calculation of balance-point temperatures for heating degree-days for the development of building-energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Huang, Luling & Nock, Destenie, 2024. "Estimating the income-related inequality aversion to energy limiting behavior in the United States," Energy Economics, Elsevier, vol. 136(C).

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