Green hydrogen is a promising alternative to fossil fuels, supported by the growing interest in electrolysers and renewable-based hydrogen production. However, limited understanding remains regarding the degradation processes affecting electrolyser performance. This paper presents a comprehensive model that integrates three primary degradation mechanisms: (1) ageing or evolutionary operational degradation, understood as time-dependent wear accumulated during operating hours; (2) dynamic operational degradation due to renewable-induced load fluctuations; and (3) shutdown-related degradation caused by frequent start-ups and shut-downs driven by renewable intermittency. The model progressively evolves from a baseline case assuming a constant operational degradation rate to a refined formulation that accounts for variable operational degradation rates and intermittent shutdowns. Results indicate that shutdown events are the dominant factor driving electrolyser degradation. When shutdown-related degradation is considered, the degradation effect increases by at least threefold compared to constant operation. Conversely, variations in operational degradation rates have a minor influence on overall system performance. Over a 25-year wind-electrolysis plant lifetime, the number of required electrolysers changes by approximately 50% when shutdown effects are neglected and only 15% when they are included. The interaction of degradation mechanisms leads to non-linear effects and unpredictable trends, underscoring the importance of integrating all relevant degradation factors into system modelling and lifecycle assessment. The findings highlight the need for more precise experimental data to refine degradation rate estimations. Nevertheless, the proposed model provides the flexibility to incorporate updated parameters as new data become available, offering a robust framework for performance prediction and strategic planning in green hydrogen systems.
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