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Optimization of Emergency Alternatives for Hydrogen Leakage and Explosion Accidents Based on Improved VIKOR

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  • Fangming Cheng

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Zhuo Li

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Chang Su

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Jiao Qu

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Meng Jiang

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Hanzhang Ge

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Linan Wang

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

  • Ziyan Gou

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Xi’an Key Laboratory of Urban Public Safety and Fire Rescue, Xi’an 710054, China)

Abstract

Hydrogen leakage and explosion accidents have obvious dangers, ambiguity of accident information, and urgency of decision-making time. These characteristics bring challenges to the optimization of emergency alternatives for such accidents. Effective emergency decision making is crucial to mitigating the consequences of accidents and minimizing losses and can provide a vital reference for emergency management in the field of hydrogen energy. An improved VIKOR emergency alternatives optimization method is proposed based on the combination of hesitant triangular fuzzy set (HTFS) and the cumulative prospect theory (CPT), termed the HTFS-CPT-VIKOR method. This method adopts the hesitant triangular fuzzy number to represent the decision information on the alternatives under the influence of multi-attributes, constructs alternatives evaluation indicators, and solves the indicator weights by using the deviation method. Based on CPT, positive and negative ideal points were used as reference points to construct the prospect matrix, which then utilized the VIKOR method to optimize the emergency alternatives for hydrogen leakage and explosion accidents. Taking an accident at a hydrogen refueling station as an example, the effectiveness and rationality of the HTFS-CPT-VIKOR method were verified by comparing with the existing three methods and conducting parameter sensitivity analysis. Research results show that the HTFS-CPT-VIKOR method effectively captures the limited psychological behavior characteristics of decision makers and enhances their ability to identify, filter, and judge ambiguous information, making the decision-making alternatives more in line with the actual environment, which provided strong support for the optimization of emergency alternatives for hydrogen leakage and explosion accidents.

Suggested Citation

  • Fangming Cheng & Zhuo Li & Chang Su & Jiao Qu & Meng Jiang & Hanzhang Ge & Linan Wang & Ziyan Gou, 2023. "Optimization of Emergency Alternatives for Hydrogen Leakage and Explosion Accidents Based on Improved VIKOR," Energies, MDPI, vol. 16(22), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:22:p:7631-:d:1282497
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Venko Beschkov & Evgeniy Ganev, 2023. "Perspectives on the Development of Technologies for Hydrogen as a Carrier of Sustainable Energy," Energies, MDPI, vol. 16(17), pages 1-23, August.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(C).
    5. Horst Zank, 2001. "Cumulative Prospect Theory for Parametric and Multiattribute Utilities," Mathematics of Operations Research, INFORMS, vol. 26(1), pages 67-81, February.
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