A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System
The coupling of renewable energy sources with electrolyzers under stand-alone conditions significantly enhances the operational efficiency and improves the cost-effectiveness of electrolyzers as a technologically viable and sustainable solution for green hydrogen production. To address the configura...
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MDPI AG
2025-03-01
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| author | Suliang Ma Zeqing Meng Yang Mei Mingxuan Chen Yuan Jiang |
| author_facet | Suliang Ma Zeqing Meng Yang Mei Mingxuan Chen Yuan Jiang |
| author_sort | Suliang Ma |
| collection | DOAJ |
| description | The coupling of renewable energy sources with electrolyzers under stand-alone conditions significantly enhances the operational efficiency and improves the cost-effectiveness of electrolyzers as a technologically viable and sustainable solution for green hydrogen production. To address the configuration optimization challenge in hybrid electrolyzer systems integrating alkaline water electrolysis (AWE) and proton exchange membrane electrolysis (PEME), this study proposes an innovative methodology leveraging the morphological analysis of Pareto frontiers to determine the optimal solutions under multi-objective functions including the hydrogen production cost and efficiency. Then, the complementary advantages of AWE and PEME are explored. The proposed methodology demonstrated significant performance improvements compared with the single-objective optimization function. When contrasted with the economic optimization function, the hybrid system achieved a 1.00% reduction in hydrogen production costs while enhancing the utilization efficiency by 21.71%. Conversely, relative to the efficiency-focused optimization function, the proposed method maintained a marginal 5.22% reduction in utilization efficiency while achieving a 6.46% improvement in economic performance. These comparative results empirically validate that the proposed hybrid electrolyzer configuration, through the implementation of the novel optimization framework, successfully establishes an optimal balance between the economy and efficiency of hydrogen production. Additionally, a discussion on the key factors affecting the rated power and mixing ratio of the hybrid electrolyzer in this research topic is provided. |
| format | Article |
| id | doaj-art-31e91cbfe3434a42b4da41b53e71c2c7 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-31e91cbfe3434a42b4da41b53e71c2c72025-08-20T02:42:38ZengMDPI AGApplied Sciences2076-34172025-03-01156313510.3390/app15063135A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery SystemSuliang Ma0Zeqing Meng1Yang Mei2Mingxuan Chen3Yuan Jiang4School of Electrical and Control Engineering, North China University of Technology, Shijingshan District, Beijing 100144, ChinaSchool of Electrical and Control Engineering, North China University of Technology, Shijingshan District, Beijing 100144, ChinaSchool of Electrical and Control Engineering, North China University of Technology, Shijingshan District, Beijing 100144, ChinaChina Three Gorges Technology Co., Ltd., Xicheng District, Beijing 100032, ChinaSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Haidian District, Beijing 100083, ChinaThe coupling of renewable energy sources with electrolyzers under stand-alone conditions significantly enhances the operational efficiency and improves the cost-effectiveness of electrolyzers as a technologically viable and sustainable solution for green hydrogen production. To address the configuration optimization challenge in hybrid electrolyzer systems integrating alkaline water electrolysis (AWE) and proton exchange membrane electrolysis (PEME), this study proposes an innovative methodology leveraging the morphological analysis of Pareto frontiers to determine the optimal solutions under multi-objective functions including the hydrogen production cost and efficiency. Then, the complementary advantages of AWE and PEME are explored. The proposed methodology demonstrated significant performance improvements compared with the single-objective optimization function. When contrasted with the economic optimization function, the hybrid system achieved a 1.00% reduction in hydrogen production costs while enhancing the utilization efficiency by 21.71%. Conversely, relative to the efficiency-focused optimization function, the proposed method maintained a marginal 5.22% reduction in utilization efficiency while achieving a 6.46% improvement in economic performance. These comparative results empirically validate that the proposed hybrid electrolyzer configuration, through the implementation of the novel optimization framework, successfully establishes an optimal balance between the economy and efficiency of hydrogen production. Additionally, a discussion on the key factors affecting the rated power and mixing ratio of the hybrid electrolyzer in this research topic is provided.https://www.mdpi.com/2076-3417/15/6/3135hybrid electrolyzermulti-objective optimization problemPareto fronthydrogen production efficiencyhydrogen production economy |
| spellingShingle | Suliang Ma Zeqing Meng Yang Mei Mingxuan Chen Yuan Jiang A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System Applied Sciences hybrid electrolyzer multi-objective optimization problem Pareto front hydrogen production efficiency hydrogen production economy |
| title | A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System |
| title_full | A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System |
| title_fullStr | A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System |
| title_full_unstemmed | A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System |
| title_short | A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System |
| title_sort | multi optimization method for capacity configuration of hybrid electrolyzer in a stand alone wind photovoltaic battery system |
| topic | hybrid electrolyzer multi-objective optimization problem Pareto front hydrogen production efficiency hydrogen production economy |
| url | https://www.mdpi.com/2076-3417/15/6/3135 |
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