THERMAL SCIENCE

International Scientific Journal

Hamid Abdi

,

Noureddine Ait Messaoudene

,

Lioua Kolsi

,

Messaoud Belazzoug

MULTI-OBJECTIVE OPTIMIZATION OF OPERATING PARAMETERS OF A PEMFC UNDER FLOODING CONDITIONS USING THE NON-DOMINATED SORTING GENETIC ALGORITHM

ABSTRACT
In the present study, the performance of a proton exchange membrane fuel cells is studied under cathode flooding conditions. A 2-D model of water and heat management based on the laws of conservation and electrochemical equations is used. The performance of the proton exchange membrane cell is evaluated on the basis of the computed average current density and its distribution along the channels. Operating parameters are optimized with the objective of maximizing average current density while minimizing its variations. The problem is formulated into a multi-objective form that is solved by the non-dominated sorting genetic algorithm-II to find the optimal Pareto front. The results of the base case are compared to those of the optimized cell. A 38.94% increase in average current density and a 38.8% decrease in standard deviation are obtained.
KEYWORDS
PEMFC, Cathode flooding, NSGA-II, Current-voltage characteristic
PAPER SUBMITTED: 2018-02-11
PAPER REVISED: 2018-04-03
PAPER ACCEPTED: 2018-04-16
PUBLISHED ONLINE: 2018-05-12
DOI REFERENCE: https://doi.org/10.2298/TSCI180211144A
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2019, VOLUME 23, ISSUE Issue 6, PAGES [3525 - 3537]
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Multi-objective optimization of operating parameters of a PEMFC under flooding conditions using the non-dominated sorting genetic algorithm

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence