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Fire Accident Risk Analysis of Lithium Battery Energy Storage Systems during Maritime Transportation

Author

Listed:
  • Chunchang Zhang

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Hu Sun

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Yuanyuan Zhang

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Gen Li

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Shibo Li

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Junyu Chang

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Gongqian Shi

    (Shanghai Merchant Ship Design Research Institute, Shanghai 201210, China)

Abstract

The lithium battery energy storage system (LBESS) has been rapidly developed and applied in engineering in recent years. Maritime transportation has the advantages of large volume, low cost, and less energy consumption, which is the main transportation mode for importing and exporting LBESS; nevertheless, a fire accident is the leading accident type in the transportation process of LBESS. This paper applied fault tree analysis and Bayesian network methods to evaluate the fire accident risk of LBESS in the process of maritime transportation. The Bayesian network was constructed via GeNIe 2.3 software, and the probability of LBESS fire accidents during maritime transportation was calculated based on the probability of basic events occurring. The results showed that an unsuitable firefighting system for putting out lithium battery fires, high humidity, and monitoring equipment without a real-time alarm function have the most significant influence on the occurrence of LBESS fire accidents during maritime transportation. The research work of this paper provides a theoretical basis for the risk assessment of LBESS during maritime transportation.

Suggested Citation

  • Chunchang Zhang & Hu Sun & Yuanyuan Zhang & Gen Li & Shibo Li & Junyu Chang & Gongqian Shi, 2023. "Fire Accident Risk Analysis of Lithium Battery Energy Storage Systems during Maritime Transportation," Sustainability, MDPI, vol. 15(19), pages 1-12, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14198-:d:1247700
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    References listed on IDEAS

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    1. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2011. "Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 925-932.
    2. Kabir, Golam & Sumi, Razia Sultana, 2014. "Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh," Energy, Elsevier, vol. 72(C), pages 717-730.
    3. Robert T. Clemen & Robert L. Winkler, 1999. "Combining Probability Distributions From Experts in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 19(2), pages 187-203, April.
    4. Lin, Shao & Ling, Ziye & Li, Suimin & Cai, Chuyue & Zhang, Zhengguo & Fang, Xiaoming, 2023. "Mitigation of lithium-ion battery thermal runaway and inhibition of thermal runaway propagation using inorganic salt hydrate with integrated latent heat and thermochemical storage," Energy, Elsevier, vol. 266(C).
    5. Wu, Wei-Shing & Yang, Chen-Feng & Chang, Jung-Chuan & Château, Pierre-Alexandre & Chang, Yang-Chi, 2015. "Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 515-524.
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