文献类型：期刊文献

英文题名：Integrated capacity planning and layout optimization of hydrogen storage tank farms considering domino accidents

作者：Liu, Xin[2];Feng, Enbo[1,2];Zhang, Yu[2];Wang, Bing[2];Cao, Chenxi[1,2]

机构：[1]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2026

卷号：264

外文期刊名：INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录：;EI(收录号：20263221258818);Scopus(收录号：2-s2.0-105046549046);WOS:【SCI-EXPANDED(收录号:WOS:001843338600001)】；

基金：This work was supported by the National Science and Technology Major Special Project (2025ZD1607100), National Natural Science Foundation of China (62394343, 62394345), the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, Fundamental Research Funds for the Central Universities (222202617006) and Natural Science Foundation of Shanghai (24ZR1414900).

语种：英文

外文关键词：High-pressure hydrogen storage; Multi-objective optimization; Domino accident; Bayesian network; Inherent safety

摘要：Achieving economical and safe large-scale hydrogen storage remains a critical challenge in the transition toward net-zero energy and chemicals production. This paper proposes a multi-objective optimization framework integrating hydrogen-specific consequence models with Bayesian networks to quantify the higher-order domino frequency for the capacity planning and layout optimization of high-pressure tank farms. Uncertainty and sensitivity analyses indicate that domino frequencies exhibit limited uncertainty across different failure data sources, while those caused by collapse and medium leakage are highly sensitive to storage pressure. Optimization results reveal that two-specification configurations yield a superior cost-frequency balance. While singlespecification designs minimize both costs and domino frequencies, three-specification configurations lead to the lowest total accident frequencies. Additionally, the Pareto-optimal layouts frequently exhibit grouped arrangements of identical tanks and peripheral placement of higher-pressure tanks. The proposed decision-support framework can inform inherently safer and cost-efficient design of hydrogen storage infrastructure.