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...

Full description

Bibliographic Details
Main Authors: Taiming Huang, Jie Huang, Mingchen Feng, Dingxun Yi, Xi Chen, Changjie Ou, Jing Zhang, Yan Zhang, Zhongmin Wan
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201839X
_version_ 1797901899537580032
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
record_format Article
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
work_keys_str_mv AT taiminghuang optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT jiehuang optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT mingchenfeng optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT dingxunyi optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT xichen optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT changjieou optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT jingzhang optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT yanzhang optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm
AT zhongminwan optimizationofthethicknessofcatalyticlayerforhtpemfcsbasedongeneticalgorithm