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AUTHOR(S): Azza Mami, Nihel Chekir, Yassine Ben Salem
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TITLE Reversible Proton Exchange Membrane Fuel Cells for Energy storage |
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ABSTRACT This paper describes the modeling, simulation, and optimization of reversible proton exchange membrane fuel cells (rPEMFCs) operating as both electrolyzers and fuel cells A MATLAB model has been developed to test the influence of operating variables such as temperature, pressure, and current density on system performance. Multi-objective optimization using a Genetic Algorithm (GA) identified optimal parameters that enhanced round-trip efficiency to 60%. The results demonstrate the potential of rPEMFCs for efficient hydrogen-based energy storage and their integration into hybrid solar-hydrogen systems for sustainable power generation. |
KEYWORDS Reversible PEM fuel cell, Hydrogen, MATLAB, Genetic Algorithm, Energy optimization, Renewable energy. |
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Cite this paper Azza Mami, Nihel Chekir, Yassine Ben Salem. (2026) Reversible Proton Exchange Membrane Fuel Cells for Energy storage. International Journal of Environmental Science, 11, 1-5 |
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