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

Mohamad Kamal, Nurin Nabilah and Azami, Muhammad Hanafi (2025) Computational modeling for performance characterization of Anion Exchange Membrane (AEM) Electrolyzers. In: International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025), Jember, Indonesia.

PDF - Published Version Restricted to Registered users only Download (1MB) | Request a copy

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.

Item Type:	Proceeding Paper (Invited Papers)
Additional Information:	8177/126283
Uncontrolled Keywords:	AEM electrolyzer, MATLAB, Empirical Formulation, Data Fitting
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ807 Renewable energy sources
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr Muhammad Hanafi Azami
Date Deposited:	30 Dec 2025 14:27
Last Modified:	30 Dec 2025 14:27
Queue Number:	2025-12-Q1216
URI:	http://irep.iium.edu.my/id/eprint/126283

Actions (login required)

View Item