Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm
In the design of High-temperature proton exchange membrane fuel cells (HT-PEMFC), the thickness of the catalyst layer (CL) determines to some extent the strength of the electrochemical performance of the cell and its manufacturing cost. To achieve the goal of improving the cell performance and reduc...
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Elsevier
2022-11-01
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Series: | Energy Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201839X |
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author | Taiming Huang Jie Huang Mingchen Feng Dingxun Yi Xi Chen Changjie Ou Jing Zhang Yan Zhang Zhongmin Wan |
author_facet | Taiming Huang Jie Huang Mingchen Feng Dingxun Yi Xi Chen Changjie Ou Jing Zhang Yan Zhang Zhongmin Wan |
author_sort | Taiming Huang |
collection | DOAJ |
description | In the design of High-temperature proton exchange membrane fuel cells (HT-PEMFC), the thickness of the catalyst layer (CL) determines to some extent the strength of the electrochemical performance of the cell and its manufacturing cost. To achieve the goal of improving the cell performance and reducing the manufacturing cost, the genetic algorithm was employed to optimize the thickness of the cathode and anode catalytic layers. The thicknesses of the anode/cathode CLs were set as independent variables. The results showed that the best minimum adaptation value was determined as 0.03072. The thicknesses of the anode and cathode CLs are 0.0231 mm and 0.0315 mm, respectively. The performance improvement of the optimized model is approximately 6.8%. The optimization method used in the study can effectively improve the performance of HT-PEMFC and provide a reference for the design of HT-PEMFC. |
first_indexed | 2024-04-10T09:09:16Z |
format | Article |
id | doaj.art-d4b3bd41dce14592bf4e7d1eedfef535 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-04-10T09:09:16Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
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series | Energy Reports |
spelling | doaj.art-d4b3bd41dce14592bf4e7d1eedfef5352023-02-21T05:13:45ZengElsevierEnergy Reports2352-48472022-11-0181290512915Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithmTaiming Huang0Jie Huang1Mingchen Feng2Dingxun Yi3Xi Chen4Changjie Ou5Jing Zhang6Yan Zhang7Zhongmin Wan8Corresponding authors.; College of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCollege of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaCorresponding authors.; College of Mechanical Engineering, Hunan Institute of Science and Technology, Yueyang 414006, ChinaIn the design of High-temperature proton exchange membrane fuel cells (HT-PEMFC), the thickness of the catalyst layer (CL) determines to some extent the strength of the electrochemical performance of the cell and its manufacturing cost. To achieve the goal of improving the cell performance and reducing the manufacturing cost, the genetic algorithm was employed to optimize the thickness of the cathode and anode catalytic layers. The thicknesses of the anode/cathode CLs were set as independent variables. The results showed that the best minimum adaptation value was determined as 0.03072. The thicknesses of the anode and cathode CLs are 0.0231 mm and 0.0315 mm, respectively. The performance improvement of the optimized model is approximately 6.8%. The optimization method used in the study can effectively improve the performance of HT-PEMFC and provide a reference for the design of HT-PEMFC.http://www.sciencedirect.com/science/article/pii/S235248472201839XHT-PEMFCGenetic algorithmCatalytic layer thickness optimization |
spellingShingle | Taiming Huang Jie Huang Mingchen Feng Dingxun Yi Xi Chen Changjie Ou Jing Zhang Yan Zhang Zhongmin Wan Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm Energy Reports HT-PEMFC Genetic algorithm Catalytic layer thickness optimization |
title | Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm |
title_full | Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm |
title_fullStr | Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm |
title_full_unstemmed | Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm |
title_short | Optimization of the thickness of catalytic layer for HT-PEMFCs based on genetic algorithm |
title_sort | optimization of the thickness of catalytic layer for ht pemfcs based on genetic algorithm |
topic | HT-PEMFC Genetic algorithm Catalytic layer thickness optimization |
url | http://www.sciencedirect.com/science/article/pii/S235248472201839X |
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