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Straight-line correlations for annual energy-consumption predictions?

Author

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  • Deeble, V.C.
  • Probert, S.D.

Abstract

A method is described that enables the annual heating requirement of a building to be calculated with computational speed, yet sufficient accuracy for normal design purposes. The effects of small changes in the building's design on the annual energy requirement can be determined with this method. It combines a response-factor simulation of the building's heat-transfer performance on certain selected days, which, with a straight-line equation fitting routine, enables a prediction to be made of the thermal loads for the other days of the year.

Suggested Citation

  • Deeble, V.C. & Probert, S.D., 1986. "Straight-line correlations for annual energy-consumption predictions?," Applied Energy, Elsevier, vol. 25(1), pages 23-39.
  • Handle: RePEc:eee:appene:v:25:y:1986:i:1:p:23-39
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    Cited by:

    1. Chaudhary, Gaurav & New, Joshua & Sanyal, Jibonananda & Im, Piljae & O’Neill, Zheng & Garg, Vishal, 2016. "Evaluation of “Autotune” calibration against manual calibration of building energy models," Applied Energy, Elsevier, vol. 182(C), pages 115-134.
    2. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    3. Leung, Philip C.M. & Lee, Eric W.M., 2013. "Estimation of electrical power consumption in subway station design by intelligent approach," Applied Energy, Elsevier, vol. 101(C), pages 634-643.
    4. Zmeureanu, Radu & Renaud, Guillaume, 2008. "Estimation of potential impact of climate change on the heating energy use of existing houses," Energy Policy, Elsevier, vol. 36(1), pages 303-310, January.

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