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

Chunchang Zhang, Hu Sun, Yuanyuan Zhang, Gen Li (), Shibo Li, Junyu Chang and Gongqian Shi
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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

Sustainability, 2023, vol. 15, issue 19, 1-12

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.

Keywords: risk assessment; Bayesian network; lithium battery energy storage system; maritime transportation; fire accident (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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