PDFAbstract: 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.
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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