Improved Fish Migration Optimization Method to Identify PEMFC Parameters

Zhou, Jincheng and Ali, Masood Ashraf and Sharma, Kamal and Alizadeh, As'ad and Almojil, Sattam Fahad and Almohana, Abdulaziz Ibrahim and Fahmi Alali, Abdulrhman and Almoalimi, Khaled Twfiq and Ibrahim, Banar Fareed (2023) Improved Fish Migration Optimization Method to Identify PEMFC Parameters. International Journal of Hydrogen Energy, 48 (52). pp. 20028-20040. ISSN 03603199

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Abstract

In a worldwide environment context where the emergency need to decrease pollutant emissions is an important issue, the research for solutions is increasing. Fuel cell technology is anticipated to become a practicable approach for solving the problem of pollution due to its environmentally friendly characteristics. In this work, a novel problem formulation is suggested for the efficient recognition of PEMFC parameters which the solving is by using the Improved Fish Migration Optimizer (IFMO) technique. After coding the steps of the algorithm in MATLAB, the objective function is resolved for the fuel cell. Comprehensive simulations evaluate the formulation performance with the suggested and traditional objective functions; then, the outcomes are compared. To confirm the suggested formulation ascendancy compared to the traditional curve-fitting method, a complete assessment based on convergence rate, the value of the objective function, and the value of absolute voltage error are performed. The achieved value of the objective function, absolute voltage error, and average time of computation is 0.005, 0.4, and 1.63, respectively. Environmentally, the combustion of hydrogen and its use in PEMFC produce no carbon dioxide.

Item Type: Article
Uncontrolled Keywords: Fuel Cell, Pollution, PEMFC, Optimization, Hydrogen
Subjects: Q Science > Q Science (General)
Divisions: Department of Civil Engineering > Research papers
Depositing User: ePrints Depositor
Date Deposited: 31 Oct 2024 11:53
Last Modified: 31 Oct 2024 11:53
URI: https://eprints.cihanuniversity.edu.iq/id/eprint/2535

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