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2018 | OriginalPaper | Chapter

PEM Fuel Cell Modeling Using Genetic Algorithm—A Novel Approach

Authors : K. Priya, Sashang Roy Choudhury, K. Sathish Kumar, N. Rajasekar

Published in: Advances in Smart Grid and Renewable Energy

Publisher: Springer Singapore

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Abstract

In order to analyze, model, and control of power generation, precise models of proton exchange membrane fuel cells (PEMFCs) are very important. As we know, there has been a lot of research on nanofluid coolants and how they improve the heat transfer properties of the base fluid. Hence, a PEM fuel cell modeling using genetic algorithm (GA) is presented in this paper that exactly tries to estimate the output of the fuel cell performance when Al₂O₃ nanofluid coolant is used. In this paper, we determine the thermal conductivity of Al₂O₃ nanofluid coolant with different concentrations of ethylene glycol and water and simulate the PEMFC performance by means of the data generated using GA.

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Title: PEM Fuel Cell Modeling Using Genetic Algorithm—A Novel Approach
Authors: K. Priya
Sashang Roy Choudhury
K. Sathish Kumar
N. Rajasekar
Publisher: Springer Singapore
Book: Advances in Smart Grid and Renewable Energy
Print ISBN: 978-981-10-4285-0

Electronic ISBN: 978-981-10-4286-7

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-4286-7_53