Computational multiphysics modeling in proton exchange membrane water electrolysis for energy transition with green hydrogen

The transition toward sustainable and low-carbon energy systems requires efficient technologies for renewable energy storage and conversion. Green hydrogen, produced via water electrolysis using renewable electricity, is a promising solution for large-scale energy storage and sector coupling. Among electrolysis technologies, Proton Exchange Membrane Water Electrolysis (PEMWE) is particularly suitable for integration with renewable energy sources due to its high efficiency, compact design, and fast dynamic response. Despite these advantages, PEM electrolyzers still face challenges related to performance optimization, thermal management, mass transport limitations, and material degradation under high current densities and dynamic operating conditions. A comprehensive understanding of the coupled physical phenomena inside the electrolyzer is therefore essential. 

This doctoral thesis proposes a combined computational and experimental investigation of PEM water electrolysis. A multi-physics computational model will be developed, coupling electrochemical reactions, mass and heat transfer, charge transport, and fluid dynamics. In parallel, an experimental PEM electrolyzer test bench will be designed and operated to measure polarization curves, efficiency, temperature distribution, and gas production rates under various operating conditions. Experimental results will be used to validate and calibrate the numerical model, while the computational simulations will help interpret experimental observations and identify performance-limiting mechanisms. This synergistic approach aims to optimize PEM electrolyzer design and operation, contributing to improved efficiency, durability, and reliability for green hydrogen production in the context of the energy transition.