Hydrogen leakage risk analysis of hydrogen emergency power supply vehicles using the AET-RM method

被引:4
|
作者
Wang, Tianwen [1 ]
Liu, Hao [1 ]
Gao, Yuan [1 ]
Chen, Wen [2 ]
Liu, Zhigang [2 ]
Liu, Shi [2 ]
Yang, Yi [2 ]
Liang, Chonggan [2 ]
机构
[1] Tongji Univ, Clean Energy Automot Engn Ctr, Sch Automot Studies, Shanghai 201804, Peoples R China
[2] China Southern Power Grid Technol Co Ltd, Guangzhou 518026, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrogen fuel emergency power supply; vehicles; Hydrogen leakage; Risk analysis; AHP; EWM; TOPSIS; Risk matrix; ACCIDENTS; FACILITY;
D O I
10.1016/j.ijhydene.2024.07.056
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In recent years, research and application of hydrogen fuel emergency power supply vehicle technologies have been steadily advancing. However, due to the highly flammable and explosive nature of hydrogen gas, the safety risk of hydrogen leakage has been taken seriously. Addressing the current inadequacies in the understanding of hydrogen leakage risks, unclear sources of risk, incomplete coverage of risk scenarios, and insufficiencies in risk assessment methods associated with hydrogen fuel emergency power supply vehicles, this study firstly establishes a multi-scenario and multi-factor coupled hydrogen leakage risk event database and an accident risk system. This effort focuses on the diversity of application scenarios, types of hydrogen leakage hazards and complexity of interfering factors. Subsequently, by refining existing risk assessment methods, a more balanced subjective-objective evaluation and more granular risk ratings approach, termed AET-RM, is proposed, which ensures finer risk grading. Finally, through this method, the types of hydrogen leakage hazards and their harm boundaries are clarified, achieving a systematic and precise graded quantitative assessment of risk sources, probabilities, and consequences. The study results indicate that the established event database contains no risk events rated as I (acceptable) or V (unacceptable). There are 37 events classified as low risk (rating II), accounting for 17.54% of the total. Medium-risk events (rating III) comprise 142 incidents, making up 67.30%, while high-risk events (rating IV) include 32 cases, representing 15.17%. The highest risk score, determined by the AET-RM method, pertains to a risk event in the power generation scenario, Contingencies: metal corrosion within the battery.
引用
收藏
页码:909 / 920
页数:12
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