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Benchmarking the energy efficiency of commercial buildings

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  • Chung, William
  • Hui, Y.V.
  • Lam, Y. Miu

Abstract

Benchmarking energy-efficiency is an important tool to promote the efficient use of energy in commercial buildings. Benchmarking models are mostly constructed in a simple benchmark table (percentile table) of energy use, which is normalized with floor area and temperature. This paper describes a benchmarking process for energy efficiency by means of multiple regression analysis, where the relationship between energy-use intensities (EUIs) and the explanatory factors (e.g., operating hours) is developed. Using the resulting regression model, these EUIs are then normalized by removing the effect of deviance in the significant explanatory factors. The empirical cumulative distribution of the normalized EUI gives a benchmark table (or percentile table of EUI) for benchmarking an observed EUI. The advantage of this approach is that the benchmark table represents a normalized distribution of EUI, taking into account all the significant explanatory factors that affect energy consumption. An application to supermarkets is presented to illustrate the development and the use of the benchmarking method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:1:p:1-14
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    References listed on IDEAS

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    1. Haas, Reinhard, 1997. "Energy efficiency indicators in the residential sector : What do we know and what has to be ensured?," Energy Policy, Elsevier, vol. 25(7-9), pages 789-802.
    2. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    3. Monts, J.Kenneth & Blissett, Marlan, 1982. "Assessing energy efficiency and energy conservation potential among commercial buildings: A statistical approach," Energy, Elsevier, vol. 7(10), pages 861-869.
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