Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer

In this paper, the problem concerned is to find the optimum values of the seven uncertain parameters ξ1, ξ2, ξ3, ξ4, λ, Rc, and β of the semi-empirical equation that defines the proton exchange membrane fuel cell (PEMFC) polarization (I/V) relationship using a recent optimization technique, the mari...

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Autores principales:	Ahmed H. Yakout, Hany M. Hasanien, Hossam Kotb
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Fuel cell MPA Optimization methods Steady state modeling Distributed generation Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/ce079335e4754a369b0a139ddfa9a5ce
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id	oai:doaj.org-article:ce079335e4754a369b0a139ddfa9a5ce
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spelling	oai:doaj.org-article:ce079335e4754a369b0a139ddfa9a5ce2021-11-22T04:22:03ZProton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer2090-447910.1016/j.asej.2021.04.014https://doaj.org/article/ce079335e4754a369b0a139ddfa9a5ce2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S209044792100191Xhttps://doaj.org/toc/2090-4479In this paper, the problem concerned is to find the optimum values of the seven uncertain parameters ξ1, ξ2, ξ3, ξ4, λ, Rc, and β of the semi-empirical equation that defines the proton exchange membrane fuel cell (PEMFC) polarization (I/V) relationship using a recent optimization technique, the marine predator algorithm (MPA). The main target of this study is to obtain a very precise PEMFC steady state model. The MPA mimics the different random movements of marine predators when foraging and is believed to always converge to a stable value. Three popular stacks namely the Ballard Mark 5 kW, BCS stack 500 W, and Temasek 1 kW are investigated and efficiently modeled. Numerical results show the high accuracy of the MPA-based model when compared with other recently published optimization techniques.Ahmed H. YakoutHany M. HasanienHossam KotbElsevierarticleFuel cellMPAOptimization methodsSteady state modelingDistributed generationEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3765-3774 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fuel cell MPA Optimization methods Steady state modeling Distributed generation Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Fuel cell MPA Optimization methods Steady state modeling Distributed generation Engineering (General). Civil engineering (General) TA1-2040 Ahmed H. Yakout Hany M. Hasanien Hossam Kotb Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
description	In this paper, the problem concerned is to find the optimum values of the seven uncertain parameters ξ1, ξ2, ξ3, ξ4, λ, Rc, and β of the semi-empirical equation that defines the proton exchange membrane fuel cell (PEMFC) polarization (I/V) relationship using a recent optimization technique, the marine predator algorithm (MPA). The main target of this study is to obtain a very precise PEMFC steady state model. The MPA mimics the different random movements of marine predators when foraging and is believed to always converge to a stable value. Three popular stacks namely the Ballard Mark 5 kW, BCS stack 500 W, and Temasek 1 kW are investigated and efficiently modeled. Numerical results show the high accuracy of the MPA-based model when compared with other recently published optimization techniques.
format	article
author	Ahmed H. Yakout Hany M. Hasanien Hossam Kotb
author_facet	Ahmed H. Yakout Hany M. Hasanien Hossam Kotb
author_sort	Ahmed H. Yakout
title	Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
title_short	Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
title_full	Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
title_fullStr	Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
title_full_unstemmed	Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer
title_sort	proton exchange membrane fuel cell steady state modeling using marine predator algorithm optimizer
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ce079335e4754a369b0a139ddfa9a5ce
work_keys_str_mv	AT ahmedhyakout protonexchangemembranefuelcellsteadystatemodelingusingmarinepredatoralgorithmoptimizer AT hanymhasanien protonexchangemembranefuelcellsteadystatemodelingusingmarinepredatoralgorithmoptimizer AT hossamkotb protonexchangemembranefuelcellsteadystatemodelingusingmarinepredatoralgorithmoptimizer
_version_	1718418249246310400

Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer

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