Modeling and Temperature Analysis of the Nexa 1.2 kW Fuel Cell System

Author:

Salim R. I.1,Noura H.2,Nabag M.1,Fardoun A.1

Affiliation:

1. Electrical Engineering Department, UAE University, P.O. Box 15551, Al Ain, UAE e-mail:

2. Professor Electrical Engineering Department, UAE University, P.O. Box 15551, Al Ain, UAE e-mail:

Abstract

The United Arab Emirates (UAE) has been exploring several renewable and green technologies to help reduce the increasing pollution rates. However, its coarse climate might impose some limitations toward the types of green technologies that can be effectively deployed in the region. In the first part of this work, an improved dynamic model of the Nexa 1.2 kW PEM fuel cell is developed using particle swarm optimization (PSO), and validated using experimental data. The developed model is then used to analyze the effect of the severe climate conditions of the UAE on the performance of the system to evaluate its operational compatibility with the region.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Reference19 articles.

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2. Proton Exchange Membrane Fuel Cell Modeling Based on Adaptive Focusing Particle Swarm Optimization;J. Renewable Sustainable Energy,2009

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4. Parameter Identification for PEM Fuel-Cell Mechanism Model Based on Effective Informed Adaptive Particle Swarm Optimization;IEEE Trans. Ind. Electron.,2011

5. Hu, P., Gao, G. Y., Zhu, X. J., Li, J., and Ren, Y., 2009, “Modeling of a Fuel Cell Stack by Neural Networks Based on Particle Swarm Optimization,” IEEE Asia-Pacific Power and Energy Engineering Conference (APPEEC 2009), Wuhan, China, Mar. 27–31, pp. 1–4.10.1109/APPEEC.2009.4918500

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2. Robust Passivity-Based Control Scheme for 1.26 KW Proton Exchange Membrane Fuel Cell Under Temperature and Load Variations;Journal of Electrochemical Energy Conversion and Storage;2021-06-15

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