Computational modeling for performance characterization of Anion Exchange Membrane (AEM) Electrolyzers

The global shift toward sustainable energy systems highlights the need for efficient and low-emission hydrogen production technologies. Anion Exchange Membrane (AEM) electrolysis presents a promising pathway for green hydrogen generation due to its compatibility with non-precious metal catalysts and alkaline operation. This study develops a MATLAB-based computational framework to evaluate the influence of key operating parameters, namely the membrane active area, current density, temperature, and pressure, on electrolyzer performance. An empirical voltage model was derived and used to generate performance data, which were subsequently fitted into predictive equations for energy efficiency and hydrogen yield. The results show that hydrogen yield increases proportionally with electrode area and current density, consistent with Faraday’s Law, whereas energy efficiency decreases at higher current densities due to increased overpotentials. Elevated temperatures consistently improve efficiency, while higher pressures exert a minor negative effect. The fitted models accurately captured these trends, producing simplified equations capable of predicting performance across varying conditions. The simulated voltage range (1.825–2.234 V) and efficiency range (66–81%) were in close agreement with values reported in literature. Overall, this work demonstrates a practical modeling approach for identifying optimal operating conditions and provides data-driven insights to guide the design and scale-up of AEM electrolyzer systems.