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Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

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  • Lin Li

    (School of Business, Hunan University, Changsha 410082, China
    These authors contributed equally to this work.)

  • Fangfang Fan

    (School of Business, Hunan University, Changsha 410082, China
    These authors contributed equally to this work.)

  • Li Ma

    (School of Business, Hunan University, Changsha 410082, China)

  • Ziran Tang

    (School of Business, Hunan University, Changsha 410082, China)

Abstract

With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation). Fuzzy Analytic Hierarchy Process (FAHP) is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.

Suggested Citation

  • Lin Li & Fangfang Fan & Li Ma & Ziran Tang, 2016. "Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:630-:d:73449
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    References listed on IDEAS

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    Cited by:

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    7. Xuhui Cong & Li Ma, 2018. "Performance Evaluation of Public-Private Partnership Projects from the Perspective of Efficiency, Economic, Effectiveness, and Equity: A Study of Residential Renovation Projects in China," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    8. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    9. Hong-Gang Peng & Jian-Qiang Wang, 2017. "Cloud decision model for selecting sustainable energy crop based on linguistic intuitionistic information," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(15), pages 3316-3333, November.

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