{"title":"面向缓解资源错配的考虑成本和风险的跨区域绿色氢供应优化策略","authors":"Chuandang Zhao , Xiaoling Song , Meng Yuan","doi":"10.1016/j.tre.2025.104433","DOIUrl":null,"url":null,"abstract":"<div><div>Low-cost green hydrogen can be produced via water electrolysis in regions with abundant renewable energy; however, the geographical mismatch between hydrogen supply and demand necessitates efficient production site and transport mode selection to ensure its cost-effectiveness and safety. This study addresses this challenge by developing the cross-regional hydrogen supply strategies optimization model under hydrogen supply costs and risks minimization goals for the government in areas with limited resources. A wind-solar-battery renewable energy system is proposed for green hydrogen production, incorporating tube trailers, liquid hydrogen trucks, and pipelines as transport options, to jointly determine optimal production site locations and transport routes. A hydrogen risk assessment method is proposed, which combines population density and transportation distance variables with a natural language processing-aided analysis of historical hydrogen accident frequencies. A case study conducted in Chongqing, China, demonstrates the model’s effectiveness through various scenario analyses. The study reveals a trade-off between cost and risk across different hydrogen supply strategies and identifies a negative power-law relationship between the distance of production sites and production costs, indicating that cost savings diminish as transport distances increase. Furthermore, sensitivity analysis is carried out to explore the uncertainties in hydrogen demand, the impacts of extreme heat weather, the technology development of tube-trailer storage and transport, and the policy support for risk and investment mitigation.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104433"},"PeriodicalIF":8.8000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mitigating resource mismatches-oriented optimal cross-regional green hydrogen supply strategy considering cost and risk\",\"authors\":\"Chuandang Zhao , Xiaoling Song , Meng Yuan\",\"doi\":\"10.1016/j.tre.2025.104433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Low-cost green hydrogen can be produced via water electrolysis in regions with abundant renewable energy; however, the geographical mismatch between hydrogen supply and demand necessitates efficient production site and transport mode selection to ensure its cost-effectiveness and safety. This study addresses this challenge by developing the cross-regional hydrogen supply strategies optimization model under hydrogen supply costs and risks minimization goals for the government in areas with limited resources. A wind-solar-battery renewable energy system is proposed for green hydrogen production, incorporating tube trailers, liquid hydrogen trucks, and pipelines as transport options, to jointly determine optimal production site locations and transport routes. A hydrogen risk assessment method is proposed, which combines population density and transportation distance variables with a natural language processing-aided analysis of historical hydrogen accident frequencies. A case study conducted in Chongqing, China, demonstrates the model’s effectiveness through various scenario analyses. The study reveals a trade-off between cost and risk across different hydrogen supply strategies and identifies a negative power-law relationship between the distance of production sites and production costs, indicating that cost savings diminish as transport distances increase. Furthermore, sensitivity analysis is carried out to explore the uncertainties in hydrogen demand, the impacts of extreme heat weather, the technology development of tube-trailer storage and transport, and the policy support for risk and investment mitigation.</div></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"204 \",\"pages\":\"Article 104433\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part E-Logistics and Transportation Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1366554525004740\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554525004740","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Mitigating resource mismatches-oriented optimal cross-regional green hydrogen supply strategy considering cost and risk
Low-cost green hydrogen can be produced via water electrolysis in regions with abundant renewable energy; however, the geographical mismatch between hydrogen supply and demand necessitates efficient production site and transport mode selection to ensure its cost-effectiveness and safety. This study addresses this challenge by developing the cross-regional hydrogen supply strategies optimization model under hydrogen supply costs and risks minimization goals for the government in areas with limited resources. A wind-solar-battery renewable energy system is proposed for green hydrogen production, incorporating tube trailers, liquid hydrogen trucks, and pipelines as transport options, to jointly determine optimal production site locations and transport routes. A hydrogen risk assessment method is proposed, which combines population density and transportation distance variables with a natural language processing-aided analysis of historical hydrogen accident frequencies. A case study conducted in Chongqing, China, demonstrates the model’s effectiveness through various scenario analyses. The study reveals a trade-off between cost and risk across different hydrogen supply strategies and identifies a negative power-law relationship between the distance of production sites and production costs, indicating that cost savings diminish as transport distances increase. Furthermore, sensitivity analysis is carried out to explore the uncertainties in hydrogen demand, the impacts of extreme heat weather, the technology development of tube-trailer storage and transport, and the policy support for risk and investment mitigation.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.