Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate

IF 7 2区 工程技术 Q1 ENERGY & FUELS Sustainable Energy Technologies and Assessments Pub Date : 2025-03-01 Epub Date: 2025-01-27 DOI:10.1016/j.seta.2025.104200
Kangle Cheng , Shan He , Bing Hu
{"title":"Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate","authors":"Kangle Cheng ,&nbsp;Shan He ,&nbsp;Bing Hu","doi":"10.1016/j.seta.2025.104200","DOIUrl":null,"url":null,"abstract":"<div><div>To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation in some electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a power adaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzer efficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipment efficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations, combined with fuzzy PID control for real-time power optimization. A case study based on actual data from a hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers, the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared to traditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively. Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers, extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficient operation of hydrogen production systems under complex conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104200"},"PeriodicalIF":7.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825000311","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation in some electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a power adaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzer efficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipment efficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations, combined with fuzzy PID control for real-time power optimization. A case study based on actual data from a hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers, the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared to traditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively. Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers, extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficient operation of hydrogen production systems under complex conditions.
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
考虑电解机组效率和产氢率的多堆PEM光伏制氢系统功率自适应控制策略
针对多层叠制氢系统中部分电解槽在光伏发电功率波动情况下长时间低功率运行造成的效率低下和产氢问题,提出了一种质子交换膜电解槽功率自适应分配策略。该策略考虑了电解槽效率和制氢效率,包括电解效率、法拉第效率、辅助设备效率和转炉效率。采用屎壳虫优化算法进行离线计算,结合模糊PID控制进行实时功率优化。以新疆吐鲁番某氢能项目实际数据为例进行分析,结果表明,该方法在4台电解槽系统运行4500 min后,与传统的平均分配、菊花链分配和效率分配策略相比,总产氢量分别提高了9.94%、2.34%和4.87%。此外,该策略减少了电解槽的低功率和满负荷运行时间,延长了设备的使用寿命。该方法为保证制氢系统在复杂条件下稳定高效运行提供了一种新的解决方案。
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
Sustainable Energy Technologies and Assessments
Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment
CiteScore
12.70
自引率
12.50%
发文量
1091
期刊介绍: Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.
期刊最新文献
Winds of change – modelling the onshore wind energy landscape of Great Britain for Net Zero targets A multi-stage data- and knowledge-coupled decision support framework for sustainable CCUS project site selection Hydro–Photovoltaic–Storage complementary mechanism for sustainable energy absorption and operational performance A systematic review of scale-up methods in prospective life cycle assessment of emerging solar energy technologies An integrated ANN controller for regulating multiple AC/DC variables of two-stage grid-tied inverters
×
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:604180095
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