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A holistic method to assess building energy efficiency combining D-S theory and the evidential reasoning approach


  • Yao, Runming
  • Yang, Yulan
  • Li, Baizhan


The assessment of building energy efficiency is one of the most effective measures for reducing building energy consumption. This paper proposes a holistic method (HMEEB) for assessing and certifying energy efficiency of buildings based on the D-S (Dempster-Shafer) theory of evidence and the Evidential Reasoning (ER) approach. HMEEB has three main features: (i) it provides both a method to assess and certify building energy efficiency, and exists as an analytical tool to identify improvement opportunities; (ii) it combines a wealth of information on building energy efficiency assessment, including identification of indicators and a weighting mechanism; and (iii) it provides a method to identify and deal with inherent uncertainties within the assessment procedure. This paper demonstrates the robustness, flexibility and effectiveness of the proposed method, using two examples to assess the energy efficiency of two residential buildings, both located in the ‘Hot Summer and Cold Winter’ zone in China. The proposed certification method provides detailed recommendations for policymakers in the context of carbon emission reduction targets and promoting energy efficiency in the built environment. The method is transferable to other countries and regions, using an indicator weighting system to modify local climatic, economic and social factors.

Suggested Citation

  • Yao, Runming & Yang, Yulan & Li, Baizhan, 2012. "A holistic method to assess building energy efficiency combining D-S theory and the evidential reasoning approach," Energy Policy, Elsevier, vol. 45(C), pages 277-285.
  • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:277-285 DOI: 10.1016/j.enpol.2012.02.032

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    References listed on IDEAS

    1. Yang, Yulan & Li, Baizhan & Yao, Runming, 2010. "A method of identifying and weighting indicators of energy efficiency assessment in Chinese residential buildings," Energy Policy, Elsevier, vol. 38(12), pages 7687-7697, December.
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    Cited by:

    1. Wei, F. & Wu, Q.H. & Jing, Z.X. & Chen, J.J. & Zhou, X.X., 2016. "Optimal unit sizing for small-scale integrated energy systems using multi-objective interval optimization and evidential reasoning approach," Energy, Elsevier, vol. 111(C), pages 933-946.


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