Operational Economics of Renewable Energy-Hydrogen System With Hydrogen-Powered Transportation

IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2024-09-25 DOI:10.1109/TSG.2024.3465505
Xinyi Lai;Jiajia Yang;Fushuan Wen;Zhao Yang Dong
{"title":"Operational Economics of Renewable Energy-Hydrogen System With Hydrogen-Powered Transportation","authors":"Xinyi Lai;Jiajia Yang;Fushuan Wen;Zhao Yang Dong","doi":"10.1109/TSG.2024.3465505","DOIUrl":null,"url":null,"abstract":"Green hydrogen, produced from renewable energy sources, is undergoing a global resurgence as a clean energy solution driving decarbonization and fueling sustainable mobility. However, the major challenge facing the hydrogen economy is its scalability, particularly in the transportation sector. In response, this research develops innovative business models that utilize the low-emission attributes of green hydrogen to alleviate its financial constraints. The decrease in costs, in turn, can stimulate the growth of green hydrogen-powered transportation and facilitate the transition toward a carbon-neutral future. Key components of the proposed business workflow are elaborated, mathematical formulations of market parameters are derived, and case studies are presented to demonstrate the feasibility and efficiency of the proposed business models. Notably, the results demonstrate that the substantial costs associated with current hydrogen-powered transportation can be effectively subsidized in the proposed business models. Under current carbon emission prices of 92 USD/ton, the levelized cost of driving can be halved. Furthermore, these models create new opportunities for stakeholders across the entire hydrogen-powered transportation value chain, contributing to the overall prosperity and growth of the hydrogen industry. This highlights the significance and promising potential of the proposed business models within the green hydrogen credit framework.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 1","pages":"718-727"},"PeriodicalIF":8.6000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10693480/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Green hydrogen, produced from renewable energy sources, is undergoing a global resurgence as a clean energy solution driving decarbonization and fueling sustainable mobility. However, the major challenge facing the hydrogen economy is its scalability, particularly in the transportation sector. In response, this research develops innovative business models that utilize the low-emission attributes of green hydrogen to alleviate its financial constraints. The decrease in costs, in turn, can stimulate the growth of green hydrogen-powered transportation and facilitate the transition toward a carbon-neutral future. Key components of the proposed business workflow are elaborated, mathematical formulations of market parameters are derived, and case studies are presented to demonstrate the feasibility and efficiency of the proposed business models. Notably, the results demonstrate that the substantial costs associated with current hydrogen-powered transportation can be effectively subsidized in the proposed business models. Under current carbon emission prices of 92 USD/ton, the levelized cost of driving can be halved. Furthermore, these models create new opportunities for stakeholders across the entire hydrogen-powered transportation value chain, contributing to the overall prosperity and growth of the hydrogen industry. This highlights the significance and promising potential of the proposed business models within the green hydrogen credit framework.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可再生能源-氢系统与氢动力交通的运行经济性
绿色氢是由可再生能源生产的,作为一种推动脱碳和促进可持续交通的清洁能源解决方案,它正在全球复苏。然而,氢经济面临的主要挑战是其可扩展性,特别是在交通运输领域。为此,本研究开发了创新的商业模式,利用绿色氢的低排放属性来缓解其财务约束。成本的降低反过来又可以刺激绿色氢动力交通的发展,并促进向碳中和未来的过渡。详细阐述了所建议的业务流程的关键组成部分,推导了市场参数的数学公式,并提出了案例研究来证明所建议的业务模型的可行性和效率。值得注意的是,研究结果表明,在拟议的商业模式中,与当前氢动力交通相关的大量成本可以得到有效的补贴。在目前92美元/吨的碳排放价格下,平准化的驾驶成本可以减半。此外,这些模型为整个氢动力运输价值链的利益相关者创造了新的机会,为氢工业的整体繁荣和增长做出了贡献。这凸显了绿色氢信用框架内拟议商业模式的重要性和前景潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
期刊最新文献
A “Smart Model-then-Control” Strategy for the Scheduling of Thermostatically Controlled Load Predictive Health Management of Smart Meters: Daily Measurement Error Forecasting Under Complex Environmental Conditions A Hybrid LSTM-Transformer Model for Power Load Forecasting Two-Timescale Online Optimization of Behind-the-Meter Battery Storage for Stacked Revenue by Providing Multi-Services Multi-time Scale Frequency Regulation Control of Virtual Power Plant Based on Fuzzy Sets
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1