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Multi-Scale Risk-Informed Comprehensive Assessment Methodology for Lithium-Ion Battery Energy Storage System

Author

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  • Lingzhi Wang

    (School of Artificial Intelligence, Xiamen City University, Xiamen 361008, China)

  • Yang Bu

    (College of Energy, Xiamen University, Xiamen 361102, China)

  • Yichun Wu

    (College of Energy, Xiamen University, Xiamen 361102, China)

Abstract

Lithium-ion batteries (LIB) are prone to thermal runaway, which can potentially result in serious incidents. These challenges are more prominent in large-scale lithium-ion battery energy storage system (Li-BESS) infrastructures. The conventional risk assessment method has a limited perspective, resulting in inadequately comprehensive evaluation outcomes, which impedes the provision of dependable technical support for the scientific appraisal of intricate large-scale Li-BESS systems. This study presents a novel Li-BESS-oriented multi-scale risk-informed comprehensive assessment framework, realizing the seamless transmission of assessment information across various scales. The findings from a previous smaller-scale analysis serve as inputs for a larger scale. The evaluation process of this method is more scientifically rigorous and yields more comprehensive results compared to assessment technologies just relying on a single perspective. By utilizing the proposed comprehensive assessment methodology, this study utilized the emergency power supply of nuclear power plants (NPPs) as an application scenario, demonstrating the complete implementation process of the framework and conducting a comprehensive assessment of Li-BESS feasibility as an emergency power source for NPPs. Our findings propose a novel paradigm for the comprehensive assessment of Li-BESS, which is expected to serve as a scientific foundation for decision-making and technical guidance in practical applications.

Suggested Citation

  • Lingzhi Wang & Yang Bu & Yichun Wu, 2024. "Multi-Scale Risk-Informed Comprehensive Assessment Methodology for Lithium-Ion Battery Energy Storage System," Sustainability, MDPI, vol. 16(20), pages 1-24, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9046-:d:1502054
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    References listed on IDEAS

    as
    1. 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.
    2. Tan, Jiawei & Chen, Xingyu & Bu, Yang & Wang, Feng & Wang, Jialing & Huang, Xianan & Hu, Zhenda & Liu, Lin & Lin, Changzhui & Meng, Chao & Lin, Jian & Xie, Shan & Xu, Jinmei & Jing, Rui & Zhao, Yingru, 2024. "Incorporating FFTA based safety assessment of lithium-ion battery energy storage systems in multi-objective optimization for integrated energy systems," Applied Energy, Elsevier, vol. 367(C).
    3. Zhou, Zhizuan & Zhou, Xiaodong & Li, Maoyu & Cao, Bei & Liew, K.M. & Yang, Lizhong, 2022. "Experimentally exploring prevention of thermal runaway propagation of large-format prismatic lithium-ion battery module," Applied Energy, Elsevier, vol. 327(C).
    4. Xia, Quan & Ren, Yi & Wang, Zili & Yang, Dezhen & Yan, Peiyu & Wu, Zeyu & Sun, Bo & Feng, Qiang & Qian, Cheng, 2023. "Safety risk assessment method for thermal abuse of lithium-ion battery pack based on multiphysics simulation and improved bisection method," Energy, Elsevier, vol. 264(C).
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