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A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature

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  • Gelegenis, John J.

Abstract

A simplified second-degree expression is developed for the approximate estimation of annual heating degree-days to various base temperatures. The only data needed for the application of this relation is the degree-days value to some reference base temperature and the mean annual temperature of the location. No statistical analysis is required for the identification of the parameters of the suggested relation, and so it is location insensitive. The quadratic relation proved to be quite accurate when applied to data from many cities from Greece and other Countries. Apart from the estimation of heating degree-days, the suggested expression can be useful for analytical purposes, due to its explicit and simple form.

Suggested Citation

  • Gelegenis, John J., 2009. "A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature," Applied Energy, Elsevier, vol. 86(10), pages 1986-1994, October.
  • Handle: RePEc:eee:appene:v:86:y:2009:i:10:p:1986-1994
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    References listed on IDEAS

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    1. Al-Hadhrami, L.M., 2013. "Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 305-314.
    2. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
    3. Gelegenis, John & Mavrotas, George, 2017. "An analytical study of critical factors in residential cogeneration optimization," Applied Energy, Elsevier, vol. 185(P2), pages 1625-1632.
    4. Khuram Pervez Amber & Muhammad Waqar Aslam & Faraz Ikram & Anila Kousar & Hafiz Muhammad Ali & Naveed Akram & Kamran Afzal & Haroon Mushtaq, 2018. "Heating and Cooling Degree-Days Maps of Pakistan," Energies, MDPI, vol. 11(1), pages 1-12, January.

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