Computational Modeling for Performance Characterization of Anion Exchange Membrane (AEM) Electrolyzers

DOI

10.2991/978-94-6463-920-9_20How to use a DOI?

Keywords

AEM electrolyzer; MATLAB; Empirical Formulation; Data Fitting

Abstract

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.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nurin Nabilah Mohamad Kamal
AU  - Muhammad Hanafi Azami
PY  - 2025
DA  - 2025/12/15
TI  - Computational Modeling for Performance Characterization of Anion Exchange Membrane (AEM) Electrolyzers
BT  - Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)
PB  - Atlantis Press
SP  - 191
EP  - 201
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-920-9_20
DO  - 10.2991/978-94-6463-920-9_20
ID  - Kamal2025
ER  -