Optimization of PEM electrolyser operation using genetic algorithm for enhanced durability

Proton Exchange Membrane Water Electrolyser (PEMWE) durability, particularly membrane thinning is a critical challenge for renewable energy integration. This research bridges that gap between degradation modeling and system-level strategeis by embedding a semi-empirical membrane thinning model into a Genetic Algorithm (GA) framework. The GA minimized degradation by optimizing operating temperature, current density, and ON-phase duration. The optimal conditions were identified as, 60 °C, 1.64 A/cm², and a 6-hour ON-phase, extended the projected operational lifetime by 47 hours, a 4.25% improvement over a baseline scenario. Validated against broader dynamic simulations and prior degradation-aware optimization studies, the results highlight the GA's effectiveness in navigating complex degradation landscapes. This integrated modeling and optimization framework contributes to the enhanced operational reliability and economic viability of PEMWE systems, accelerating the deployment of green hydrogen as a cornerstone of sustainable energy systems for both community and industrial applications.