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Comparison of various metaheuristic algorithms to extract the optimal PEMFC modeling parameters

Comparison of various metaheuristic algorithms to extract the optimal PEMFC modeling parameters
Comparison of various metaheuristic algorithms to extract the optimal PEMFC modeling parameters

In this study, operating parameters of a semi-empirical mathematical model of a proton-exchange membrane fuel cell (PEMFC) are extracted and compared using various metaheuristic algorithms to analyze its behavior in a fast and economical manner before setting it up for application. Sum-squared error is employed as the objective function to find the values of seven unknown modeling parameters. The parameter extraction is carried out by using the polarization curve data of a 1000 W commercial PEMFC. Three different multi-attribute decision-making methods are used to rank the metaheuristic algorithms in terms of performance. The findings indicate that Moth Flame Algorithm is ranked first considering the sum-squared error (0.4389) and runtime (1054 s); whereas Grey Wolf Optimizer gives the best objective function efficiency (98.6034%) and lowest error rate (0.1096). It was also found that JAYA and Cuckoo Search are not convenient for parameter extraction of the specified fuel cell. Overall, the distinctive features of the study provide valuable insights and advancements in the field of fuel cell modeling and optimization.

MADM, Marine vessel, Metaheuristic algorithms, Optimization, Parameter extraction, PEMFC
0360-3199
1402-1420
Aykut Korkmaz, Suleyman
959074e1-2ec0-405c-b1ec-eeababef216b
Ayten Çetinkaya, Sera
39c705ba-7bd9-420e-aa0d-c77fb1cfbb7f
Yuksel, Onur
5138ebb7-a0f3-4308-907c-5baf1dd35360
Konur, Olgun
4d099dab-c4ae-4baa-a93a-cf6471c304e6
Emrah Erginer, K.
4476281e-eab0-4d15-8f40-9cfde2ccac47
Ozgur Colpan, C.
b3fce544-afd7-4815-a5cb-d947797a9dbc
Aykut Korkmaz, Suleyman
959074e1-2ec0-405c-b1ec-eeababef216b
Ayten Çetinkaya, Sera
39c705ba-7bd9-420e-aa0d-c77fb1cfbb7f
Yuksel, Onur
5138ebb7-a0f3-4308-907c-5baf1dd35360
Konur, Olgun
4d099dab-c4ae-4baa-a93a-cf6471c304e6
Emrah Erginer, K.
4476281e-eab0-4d15-8f40-9cfde2ccac47
Ozgur Colpan, C.
b3fce544-afd7-4815-a5cb-d947797a9dbc

Aykut Korkmaz, Suleyman, Ayten Çetinkaya, Sera, Yuksel, Onur, Konur, Olgun, Emrah Erginer, K. and Ozgur Colpan, C. (2024) Comparison of various metaheuristic algorithms to extract the optimal PEMFC modeling parameters. International Journal of Hydrogen Energy, 51, 1402-1420. (doi:10.1016/j.ijhydene.2023.05.347).

Record type: Article

Abstract

In this study, operating parameters of a semi-empirical mathematical model of a proton-exchange membrane fuel cell (PEMFC) are extracted and compared using various metaheuristic algorithms to analyze its behavior in a fast and economical manner before setting it up for application. Sum-squared error is employed as the objective function to find the values of seven unknown modeling parameters. The parameter extraction is carried out by using the polarization curve data of a 1000 W commercial PEMFC. Three different multi-attribute decision-making methods are used to rank the metaheuristic algorithms in terms of performance. The findings indicate that Moth Flame Algorithm is ranked first considering the sum-squared error (0.4389) and runtime (1054 s); whereas Grey Wolf Optimizer gives the best objective function efficiency (98.6034%) and lowest error rate (0.1096). It was also found that JAYA and Cuckoo Search are not convenient for parameter extraction of the specified fuel cell. Overall, the distinctive features of the study provide valuable insights and advancements in the field of fuel cell modeling and optimization.

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More information

Accepted/In Press date: 31 May 2023
e-pub ahead of print date: 16 June 2023
Published date: 2 January 2024
Additional Information: Funding Information: This research was supported by the Dokuz Eylül University's Scientific Research Projects with project number 2020.KB.MLT.012 . Publisher Copyright: © 2023 Hydrogen Energy Publications LLC
Keywords: MADM, Marine vessel, Metaheuristic algorithms, Optimization, Parameter extraction, PEMFC

Identifiers

Local EPrints ID: 486621
URI: http://eprints.soton.ac.uk/id/eprint/486621
ISSN: 0360-3199
PURE UUID: 66fb2bf1-92bb-4359-ae08-17818171bf71
ORCID for Suleyman Aykut Korkmaz: ORCID iD orcid.org/0000-0001-5972-6971

Catalogue record

Date deposited: 26 Jan 2024 18:03
Last modified: 18 Mar 2024 04:15

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Contributors

Author: Suleyman Aykut Korkmaz ORCID iD
Author: Sera Ayten Çetinkaya
Author: Onur Yuksel
Author: Olgun Konur
Author: K. Emrah Erginer
Author: C. Ozgur Colpan

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