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A critical appraisal of energy-signature models


  • Hammarsten, Stig


The use of different energy-signature (ES) models for energy consumption predictions and building parameter estimations is reviewed. For predictions using time-steps of one day or longer, static ES models are found to be useful. Recommendations for the choice of model are given. The use of ES models for the estimation of building parameters, e.g. for an energy audit, should only be done with great caution, as there can be considerable errors. The development of more sophisticated dynamic models may solve some of the problems encountered with the static models discussed here.

Suggested Citation

  • Hammarsten, Stig, 1987. "A critical appraisal of energy-signature models," Applied Energy, Elsevier, vol. 26(2), pages 97-110.
  • Handle: RePEc:eee:appene:v:26:y:1987:i:2:p:97-110

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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. repec:eee:energy:v:129:y:2017:i:c:p:70-78 is not listed on IDEAS
    3. repec:gam:jsusta:v:9:y:2017:i:10:p:1877-:d:115670 is not listed on IDEAS
    4. Henchoz, Samuel & Weber, Céline & Maréchal, François & Favrat, Daniel, 2015. "Performance and profitability perspectives of a CO2 based district energy network in Geneva's City Centre," Energy, Elsevier, vol. 85(C), pages 221-235.
    5. Olofsson, Thomas & Mahlia, T.M.I., 2012. "Modeling and simulation of the energy use in an occupied residential building in cold climate," Applied Energy, Elsevier, vol. 91(1), pages 432-438.
    6. Allard, I. & Olofsson, T. & Hassan, O.A.B., 2013. "Methods for energy analysis of residential buildings in Nordic countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 306-318.
    7. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    8. Fumo, Nelson & Rafe Biswas, M.A., 2015. "Regression analysis for prediction of residential energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 332-343.

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