Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Coproduction Systems

IF 51.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chemical Reviews Pub Date : 2024-10-16 DOI:10.1039/d4ee02394c
Daniel Joseph Laky, Nicole P. Cortes, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel Zamarripa-Perez, Douglas A. Allan, John H. Brewer, Arun Iyengar, Maojian Wang, Anthony P. Burgard, David C. Miller, Alexander William Dowling
{"title":"Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Coproduction Systems","authors":"Daniel Joseph Laky, Nicole P. Cortes, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel Zamarripa-Perez, Douglas A. Allan, John H. Brewer, Arun Iyengar, Maojian Wang, Anthony P. Burgard, David C. Miller, Alexander William Dowling","doi":"10.1039/d4ee02394c","DOIUrl":null,"url":null,"abstract":"Decarbonization efforts across North America, Europe, and beyond rely on variable renewable energy sources such as wind and solar, as well as alternative fuels, such as hydrogen, to support the sustainable energy transition. These advancements have prompted a need for more flexibility in the electric grid to complement non-dispatchable energy sources and increased demand from electrification. Integrated energy systems are well suited to provide this flexibility, but conventional technoeconomic modeling paradigms neglect the time-varying dynamic nature of the grid and thus undervalue resource flexibility. In this work, we develop a computational optimization framework for dynamic market-based technoeconomic comparison of integrated energy systems that coproduce low-carbon electricity and hydrogen (e.g., solid oxide fuel cells, solid oxide electrolysis) against technologies that only produce electricity (e.g., natural gas combined cycle with carbon capture) or only produce hydrogen. Our framework starts with rigorous physics-based process models, built in the open-source Institute for the Design of Advanced Energy Systems (IDAES) modeling and optimization platform, for six energy process concepts. Using these rigorous models and a workflow to optimally design each technology, the framework is shown to be capable of evaluating new and emerging technologies in varying energy markets under a plethora of future scenarios (i.e., renewables penetration, carbon tax, etc.). Ultimately, our framework finds that solid oxide fuel cell-based coproduction systems achieve positive profits for 85% of the analyzed market scenarios. From these market optimization results, we use multivariate linear regression (R-squared values up to 0.99) to determine which electricity price statistics are most significant to predict the optimized annual profit of each system. The proposed framework provides a powerful tool for directly comparing flexible, multi-product energy process concepts to help discern optimal technology and integration options.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"68 1","pages":""},"PeriodicalIF":51.4000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Reviews","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1039/d4ee02394c","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Decarbonization efforts across North America, Europe, and beyond rely on variable renewable energy sources such as wind and solar, as well as alternative fuels, such as hydrogen, to support the sustainable energy transition. These advancements have prompted a need for more flexibility in the electric grid to complement non-dispatchable energy sources and increased demand from electrification. Integrated energy systems are well suited to provide this flexibility, but conventional technoeconomic modeling paradigms neglect the time-varying dynamic nature of the grid and thus undervalue resource flexibility. In this work, we develop a computational optimization framework for dynamic market-based technoeconomic comparison of integrated energy systems that coproduce low-carbon electricity and hydrogen (e.g., solid oxide fuel cells, solid oxide electrolysis) against technologies that only produce electricity (e.g., natural gas combined cycle with carbon capture) or only produce hydrogen. Our framework starts with rigorous physics-based process models, built in the open-source Institute for the Design of Advanced Energy Systems (IDAES) modeling and optimization platform, for six energy process concepts. Using these rigorous models and a workflow to optimally design each technology, the framework is shown to be capable of evaluating new and emerging technologies in varying energy markets under a plethora of future scenarios (i.e., renewables penetration, carbon tax, etc.). Ultimately, our framework finds that solid oxide fuel cell-based coproduction systems achieve positive profits for 85% of the analyzed market scenarios. From these market optimization results, we use multivariate linear regression (R-squared values up to 0.99) to determine which electricity price statistics are most significant to predict the optimized annual profit of each system. The proposed framework provides a powerful tool for directly comparing flexible, multi-product energy process concepts to help discern optimal technology and integration options.
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
氢电联产系统的市场优化和技术经济分析
北美、欧洲及其他地区的去碳化工作依靠风能和太阳能等可变可再生能源以及氢气等替代燃料来支持可持续能源转型。这些进步促使电网需要更大的灵活性,以补充不可调度的能源和电气化带来的更多需求。综合能源系统非常适合提供这种灵活性,但传统的技术经济建模模式忽视了电网的时变动态特性,从而低估了资源的灵活性。在这项工作中,我们开发了一个计算优化框架,用于基于动态市场的综合能源系统技术经济比较,该框架将联合生产低碳电力和氢气(如固体氧化物燃料电池、固体氧化物电解)的综合能源系统与只生产电力(如天然气联合循环与碳捕集)或只生产氢气的技术进行比较。我们的框架以严格的基于物理的工艺模型为起点,这些模型是在开源的先进能源系统设计研究所(IDAES)建模和优化平台上建立的,适用于六种能源工艺概念。利用这些严谨的模型和工作流程对每种技术进行优化设计,该框架能够在各种未来情景(如可再生能源渗透率、碳税等)下对不同能源市场中的新兴技术进行评估。最终,我们的框架发现,基于固体氧化物燃料电池的联合生产系统在 85% 的分析市场情景下都能实现正利润。根据这些市场优化结果,我们使用多元线性回归(R 平方值高达 0.99)来确定哪些电价统计数据对预测每个系统的优化年利润最有意义。所提出的框架为直接比较灵活的多产品能源流程概念提供了一个强大的工具,有助于确定最佳的技术和集成方案。
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
Chemical Reviews
Chemical Reviews 化学-化学综合
CiteScore
106.00
自引率
1.10%
发文量
278
审稿时长
4.3 months
期刊介绍: Chemical Reviews is a highly regarded and highest-ranked journal covering the general topic of chemistry. Its mission is to provide comprehensive, authoritative, critical, and readable reviews of important recent research in organic, inorganic, physical, analytical, theoretical, and biological chemistry. Since 1985, Chemical Reviews has also published periodic thematic issues that focus on a single theme or direction of emerging research.
期刊最新文献
The Analysis of Electron Densities: From Basics to Emergent Applications Asymmetric Orbital Hybridization at MXene-VO2-x Interface Stabilizes Oxygen Vacancies for Enhanced Reversibility in Aqueous Zinc-ion Battery Noncanonical Amino Acid Incorporation in Animals and Animal Cells. Issue Editorial Masthead Issue Publication Information
×
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