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Demand Side Management Performance Evaluation for Commercial Enterprises

Author

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  • Jun Dong

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Huijuan Huo

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Sen Guo

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Demand Side Management in power systems plays an important role in ensuring a reliable power supply and protecting the environment. Demand Side Management in the commercial sector is vital for sustainable development during China’s industrial restructuring. A hybrid multi-criteria decision making framework for evaluating Demand Side Management performance of commercial enterprises is proposed from a sustainability perspective. A fuzzy Analytic Hierarchy Process is employed to determine the weights of the criteria and a fuzzy technique for order preference by similarity to an ideal solution is applied to rank Demand Side Management performance. An evaluation index system is built, containing economic, social, environmental and technical criteria associated with 15 sub-criteria. Four groups of expert panels from government departments, research institutions, electricity utilities and commercial enterprises gave judgments on criteria weights and criteria performances for alternatives. The effectiveness of the proposed hybrid framework was demonstrated through a case study in Beijing, in which Demand Side Management performances of four alternatives were ranked. Sensitivity analysis results indicate that the hybrid framework is robust.

Suggested Citation

  • Jun Dong & Huijuan Huo & Sen Guo, 2016. "Demand Side Management Performance Evaluation for Commercial Enterprises," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:10:p:1041-:d:80767
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    References listed on IDEAS

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    Cited by:

    1. Jun Dong & Rong Li & Hui Huang, 2018. "Performance Evaluation of Residential Demand Response Based on a Modified Fuzzy VIKOR and Scalable Computing Method," Energies, MDPI, vol. 11(5), pages 1-27, April.
    2. Peipei You & Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method," Sustainability, MDPI, vol. 9(12), pages 1-15, December.

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