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Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting

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  • Li, Shunxi
  • Su, Bowen
  • St-Pierre, David L.
  • Sui, Pang-Chieh
  • Zhang, Guofang
  • Xiao, Jinsheng

Abstract

Application of compressed natural gas in public transportation has attracted environmental and social attentions worldwide for natural gas' low air pollutants emission, low cost, and availability. Constructing a suitable compressed natural gas network for public transportation in a city has thus become an important topic for the theory and practice of applying the compressed natural gas, which is considered as a key measure to solve the energy crisis and city congestion. The present paper proposed an integrated decision-making process of compressed natural gas siting for public transportation based on the method of multi-objective optimization, fuzzy evaluating, and radar charting. Multi-objective optimization is used to find the initial feasible solution under the city's requirement in economic, availability, safety and so on. Fuzzy evaluation then provides the criteria of decision-making. Radar charting presents a clear vision of all the candidate solutions for decision-making based on the different feature of the city condition. To illustrate the proposed process, the present paper takes the city of Wuhan, China as the case study.

Suggested Citation

  • Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:11-17
    DOI: 10.1016/j.energy.2017.08.041
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    2. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).

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