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Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective

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  • Guo, Sen
  • Zhao, Huiru

Abstract

Selecting the most sustainable site plays an important role in the life cycle of electric vehicle charging station (EVCS), which needs to consider some conflicting criteria. Different from the previous studies which mostly utilize programming (optimization) models, this paper employed a multi-criteria decision-making (MCDM) method to consider some subjective but important criteria for EVCS site selection. To reflect the ambiguity and vagueness due to the subjective judgments of decision makers, fuzzy TOPSIS method was applied to select the optimal EVCS site. Based on academic literatures, feasibility research reports and expert opinions in different fields, the evaluation index system for EVCS site selection was built from sustainability perspective, which consists of environmental, economic and social criteria associated with a total of 11 sub-criteria. Then, the criteria performances of different alternatives and criteria weights were judged by five groups of expert panels in the fields of environment, economy, society, electric power system and transportation system. Finally, the EVCS site alternatives were ranked by employing fuzzy TOPSIS method. The result shows EVCS site A2 located at Changping district in Beijing obtains the highest ranking score and should be selected as the optimal site. Meanwhile, the environmental and social criteria are paid more attentions from decision makers than economic criteria. The sensitivity analysis results indicate the alternative A2 always secures its top ranking no matter how sub-criteria weights change. It is effective and robust to apply fuzzy TOPSIS method into EVCS site selection. This paper provides a new research perspective for site selection and also extends the application domains of fuzzy TOPSIS method.

Suggested Citation

  • Guo, Sen & Zhao, Huiru, 2015. "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective," Applied Energy, Elsevier, vol. 158(C), pages 390-402.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:390-402
    DOI: 10.1016/j.apenergy.2015.08.082
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    1. Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2013. "Infrastructure Planning for Electric Vehicles with Battery Swapping," Management Science, INFORMS, vol. 59(7), pages 1557-1575, July.
    2. Ding, Huajie & Hu, Zechun & Song, Yonghua, 2015. "Value of the energy storage system in an electric bus fast charging station," Applied Energy, Elsevier, vol. 157(C), pages 630-639.
    3. Capasso, Clemente & Veneri, Ottorino, 2015. "Experimental study of a DC charging station for full electric and plug in hybrid vehicles," Applied Energy, Elsevier, vol. 152(C), pages 131-142.
    4. He, Fang & Wu, Di & Yin, Yafeng & Guan, Yongpei, 2013. "Optimal deployment of public charging stations for plug-in hybrid electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 47(C), pages 87-101.
    5. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    6. Chung, Sung Hoon & Kwon, Changhyun, 2015. "Multi-period planning for electric car charging station locations: A case of Korean Expressways," European Journal of Operational Research, Elsevier, vol. 242(2), pages 677-687.
    7. Sathaye, Nakul & Kelley, Scott, 2013. "An approach for the optimal planning of electric vehicle infrastructure for highway corridors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 15-33.
    8. Bilgen, S., 2014. "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 890-902.
    9. Wang, Endong, 2015. "Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach," Applied Energy, Elsevier, vol. 146(C), pages 92-103.
    10. Lele, Sharachchandra M., 1991. "Sustainable development: A critical review," World Development, Elsevier, vol. 19(6), pages 607-621, June.
    11. Mao-Sheng Liao & Gin-Shuh Liang & Chin-Yuan Chen, 2013. "Fuzzy grey relation method for multiple criteria decision-making problems," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3065-3077, October.
    12. Heng Li & Jun Peng & Weirong Liu & Zhiwu Huang, 2015. "Stationary Charging Station Design for Sustainable Urban Rail Systems: A Case Study at Zhuzhou Electric Locomotive Co., China," Sustainability, MDPI, vol. 7(1), pages 1-17, January.
    13. Jun, Dong & Tian-tian, Feng & Yi-sheng, Yang & Yu, Ma, 2014. "Macro-site selection of wind/solar hybrid power station based on ELECTRE-II," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 194-204.
    14. Sadeghi-Barzani, Payam & Rajabi-Ghahnavieh, Abbas & Kazemi-Karegar, Hosein, 2014. "Optimal fast charging station placing and sizing," Applied Energy, Elsevier, vol. 125(C), pages 289-299.
    15. Nansai, Keisuke & Tohno, Susumu & Kono, Motoki & Kasahara, Mikio & Moriguchi, Yuichi, 2001. "Life-cycle analysis of charging infrastructure for electric vehicles," Applied Energy, Elsevier, vol. 70(3), pages 251-265, November.
    16. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    17. Zhang, Yanxia & Wang, Haikun & Liang, Sai & Xu, Ming & Liu, Weidong & Li, Shalang & Zhang, Rongrong & Nielsen, Chris P. & Bi, Jun, 2014. "Temporal and spatial variations in consumption-based carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 60-68.
    18. Tieju Ma & Jiangjiang Zhao & Shijian Xiang & Ya Zhu & Peipei Liu, 2014. "An Agent-Based Training System for Optimizing the Layout of AFVs' Initial Filling Stations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(4), pages 1-6.
    19. Liu, Jian, 2012. "Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing," Energy Policy, Elsevier, vol. 51(C), pages 544-557.
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