Xu Yang , Bo Yang , Zhaojian Wang , Sicheng Liu , Xinping Guan
{"title":"解锁运输延误条件下氢供应商合作运营的灵活性","authors":"Xu Yang , Bo Yang , Zhaojian Wang , Sicheng Liu , Xinping Guan","doi":"10.1016/j.apenergy.2025.126152","DOIUrl":null,"url":null,"abstract":"<div><div>Hydrogen provides a pathway to the clean transition of the future energy mix, rendering hydrogen energy service providers (HESPs) an important role in hydrogen supply. Additionally, collaborative operation through vehicle-based hydrogen transportation exhibits great potential for mitigating source–load fluctuations of HESPs. However, current collaborations on hydrogen transportation primarily focus on route selection while neglecting delay risks, which may precipitate abrupt energy deficits during the scheduling of energy receivers. This work proposes a multi-HESP cooperative game that considers a deadline assignment mechanism to ensure the robustness of hydrogen delivery while fully unlocking the scheduling flexibility supported by the road network. Considering the transportation-time uncertainty, the distributionally robust joint chance constraint (DRJCC) is introduced to model delay uncertainties effectively and improve hydrogen delivery reliability. A customized approximation method is proposed to reformulate the DRJCC model into a tractable approximation with low conservatism while enhancing flexibility in decision-making under transportation delay uncertainty. Case studies verify that the proposed framework can improve the flexibility and enthusiasm of multi-HESP cooperation under the electricity–hydrogen transmission network.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"394 ","pages":"Article 126152"},"PeriodicalIF":10.1000,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlock the flexibility for cooperative operation of hydrogen providers under transportation delay\",\"authors\":\"Xu Yang , Bo Yang , Zhaojian Wang , Sicheng Liu , Xinping Guan\",\"doi\":\"10.1016/j.apenergy.2025.126152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Hydrogen provides a pathway to the clean transition of the future energy mix, rendering hydrogen energy service providers (HESPs) an important role in hydrogen supply. Additionally, collaborative operation through vehicle-based hydrogen transportation exhibits great potential for mitigating source–load fluctuations of HESPs. However, current collaborations on hydrogen transportation primarily focus on route selection while neglecting delay risks, which may precipitate abrupt energy deficits during the scheduling of energy receivers. This work proposes a multi-HESP cooperative game that considers a deadline assignment mechanism to ensure the robustness of hydrogen delivery while fully unlocking the scheduling flexibility supported by the road network. Considering the transportation-time uncertainty, the distributionally robust joint chance constraint (DRJCC) is introduced to model delay uncertainties effectively and improve hydrogen delivery reliability. A customized approximation method is proposed to reformulate the DRJCC model into a tractable approximation with low conservatism while enhancing flexibility in decision-making under transportation delay uncertainty. Case studies verify that the proposed framework can improve the flexibility and enthusiasm of multi-HESP cooperation under the electricity–hydrogen transmission network.</div></div>\",\"PeriodicalId\":246,\"journal\":{\"name\":\"Applied Energy\",\"volume\":\"394 \",\"pages\":\"Article 126152\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306261925008827\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925008827","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Unlock the flexibility for cooperative operation of hydrogen providers under transportation delay
Hydrogen provides a pathway to the clean transition of the future energy mix, rendering hydrogen energy service providers (HESPs) an important role in hydrogen supply. Additionally, collaborative operation through vehicle-based hydrogen transportation exhibits great potential for mitigating source–load fluctuations of HESPs. However, current collaborations on hydrogen transportation primarily focus on route selection while neglecting delay risks, which may precipitate abrupt energy deficits during the scheduling of energy receivers. This work proposes a multi-HESP cooperative game that considers a deadline assignment mechanism to ensure the robustness of hydrogen delivery while fully unlocking the scheduling flexibility supported by the road network. Considering the transportation-time uncertainty, the distributionally robust joint chance constraint (DRJCC) is introduced to model delay uncertainties effectively and improve hydrogen delivery reliability. A customized approximation method is proposed to reformulate the DRJCC model into a tractable approximation with low conservatism while enhancing flexibility in decision-making under transportation delay uncertainty. Case studies verify that the proposed framework can improve the flexibility and enthusiasm of multi-HESP cooperation under the electricity–hydrogen transmission network.
期刊介绍:
Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.