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Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization

Author

Listed:
  • Kuikui Li

    (School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China)

  • Yanming Wang

    (School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China
    Research Center of Intelligent Ventilation, China University of Mining & Technology, Xuzhou 221116, China)

  • Yongchang Zhang

    (School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China
    Research Center of Intelligent Ventilation, China University of Mining & Technology, Xuzhou 221116, China)

  • Shasha Wang

    (School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China)

  • Xiangyu Zou

    (School of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China
    Research Center of Intelligent Ventilation, China University of Mining & Technology, Xuzhou 221116, China)

Abstract

As a large number of new energy is employed as the driving force for the operation and transportation machinery of underground space projects, the lithium battery load in confined spaces, such as working faces, roadways and tunnels increases in geometric progression, and the coupled risks of heat damage and smoke poisoning caused by possible fires become more serious. In this paper, experimental and numerical methods were implemented to study the propagation mechanism of heat- and mass-induced disasters under catastrophic conditions, and a quantitative characterization model of multiple risk factors of thermal runaway and toxic gas diffusion of battery fire was proposed. The fuzzy analytical hierarchy process (FAHP) was conducted to calculate and grade the risk of lithium battery fire in a typical mine working face under multiple factors, including hazard source, personnel, working environment and emergency response. In addition, a quantitative early warning and control model was established for identified high-risk probability events. The results promote the quantitative and scientific development of multiple risk assessment and decision-making of confined space fire.

Suggested Citation

  • Kuikui Li & Yanming Wang & Yongchang Zhang & Shasha Wang & Xiangyu Zou, 2022. "Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization," IJERPH, MDPI, vol. 20(1), pages 1-26, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:456-:d:1016905
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    References listed on IDEAS

    as
    1. Pengyang Gao & Jingshi Shang & Jinkun Wu & Zheng Mu & Meiqin Suo & Jingjing Fan & Yunpu Zheng & Yao Cheng & Yuchun Wang, 2022. "Distribution, Risk Assessment, and Source Identification of Potentially Toxic Elements in the Sediments of the Upper Reaches of Zhanghe River, Haihe Basin," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
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