Design and Visual Implementation of a Regional Energy Risk Superposition Model for Oil Tank Farms
Yufeng Yang,
Xixiang Zhang,
Shuyi Xie,
Shanqi Qu (),
Haotian Chen (),
Qiming Xu and
Guohua Chen
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Yufeng Yang: Institute of Science and Technology, China Oil & Gas Pipeline Network Corporation, Langfang 065000, China
Xixiang Zhang: Institute of Science and Technology, China Oil & Gas Pipeline Network Corporation, Langfang 065000, China
Shuyi Xie: State Key Laboratory of Oil and Gas Equipment, CNPC Tubular Goods Research Institute, Xi’an 710077, China
Shanqi Qu: Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
Haotian Chen: Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
Qiming Xu: Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
Guohua Chen: Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510640, China
Energies, 2024, vol. 17, issue 22, 1-18
Abstract:
Ensuring the safety of oil tank farms is essential to maintaining energy security and minimizing the impact of potential accidents. This paper develops a quantitative regional risk model designed to assess both individual and societal risks in oil tank farms, with particular attention to energy-related risks such as leaks, fires, and explosions. The model integrates factors like day–night operational variations, weather conditions, and risk superposition to provide a comprehensive and accurate evaluation of regional risks. By considering the cumulative effects of multiple hazards, including those tied to energy dynamics, and the stability and validity of the model are researched through Monte Carlo simulations and case application. The results show that the model enhances the reliability of traditional risk assessment methods, making it more applicable to oil tank farm safety concerns. Furthermore, this study introduces a practical tool that simplifies the risk assessment process, allowing operators and decision-makers to evaluate risks without requiring in-depth technical expertise. The methodology improves the ability to safeguard oil tank farms, ensuring the stability of energy supply chains and contributing to broader energy security efforts. This study provides a valuable method for researchers and engineers seeking to enhance regional risk calculation efficiency, with a specific focus on energy risks.
Keywords: energy security; oil tank farm; regional risk model; energy risk; quantitative risk assessment; visualization interface (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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