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Evaluating and ranking energy performance of office buildings using Grey relational analysis

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  • Lee, Wen-Shing
  • Lin, Yeong-Chuan

Abstract

Traditional methods of evaluating energy performance of building tend to focus on comparing the observed energy consumption with the average value of energy consumption by regression method or theoretical value calculated by simulation analysis. For evaluating and ranking the energy performance of buildings, this paper proposed a perspective of multiple objective outputs to evaluate the energy performance of buildings and then use a multiple attribute decision-making approach, Grey relational analysis (GRA), to rank the evaluated buildings. The energy performance of 47 office buildings in Taiwan were evaluated and ranked to serve as a case study to illustrate the procedure and effectiveness of the proposed approach.

Suggested Citation

  • Lee, Wen-Shing & Lin, Yeong-Chuan, 2011. "Evaluating and ranking energy performance of office buildings using Grey relational analysis," Energy, Elsevier, vol. 36(5), pages 2551-2556.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:2551-2556
    DOI: 10.1016/j.energy.2011.01.049
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    References listed on IDEAS

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    1. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    2. Huang, Sun-Jen & Chiu, Nan-Hsing & Chen, Li-Wei, 2008. "Integration of the grey relational analysis with genetic algorithm for software effort estimation," European Journal of Operational Research, Elsevier, vol. 188(3), pages 898-909, August.
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