The coupling of offshore wind energy with hydrogen production involves complex energy flow dynamics and management challenges. This study explores the production of hydrogen through a PEM electrolyzer powered by offshore wind farms and Lithium-ion batteries. A digital twin is developed in Python with the aim of supporting the sizing and carrying out a techno-economic analysis. A controller is designed to manage energy flows on an hourly basis. Three scenarios are analyzed by fixing the electrolyzer capacity to meet a steel plant’s hydrogen demand while exploring different wind farm configurations where the electrolyzer capacity represents 40%, 60%, and 80% of the wind farm. The layout is optimized to account for the turbine wake. Results reveal that when the electrolyzer capacity is 80% of the wind farm, a better energy balance is achieved, with 87.5% of the wind production consumed by the electrolyzer. In all scenarios, the energy stored is less than 5%, highlighting its limitation as a storage solution in this application. LCOE and LCOH differ minimally between scenarios. Saved emissions from wind power reach 268 (Formula presented.) /year while those from hydrogen production amount to 520 (Formula presented.) /year, underlying the importance of hydrogen in hard-to-abate sectors.
Energy storage and management of offshore wind-based green hydrogen production / Pizzuti, Isabella; Conti, Michela; Delibra, Giovanni; Corsini, Alessandro; Castorrini, Alessio. - In: PROCESSES. - ISSN 2227-9717. - 13:3(2025), pp. 1-21. [10.3390/pr13030643]
Energy storage and management of offshore wind-based green hydrogen production
Isabella Pizzuti
;Michela Conti;Giovanni Delibra;Alessandro Corsini;Alessio Castorrini
2025
Abstract
The coupling of offshore wind energy with hydrogen production involves complex energy flow dynamics and management challenges. This study explores the production of hydrogen through a PEM electrolyzer powered by offshore wind farms and Lithium-ion batteries. A digital twin is developed in Python with the aim of supporting the sizing and carrying out a techno-economic analysis. A controller is designed to manage energy flows on an hourly basis. Three scenarios are analyzed by fixing the electrolyzer capacity to meet a steel plant’s hydrogen demand while exploring different wind farm configurations where the electrolyzer capacity represents 40%, 60%, and 80% of the wind farm. The layout is optimized to account for the turbine wake. Results reveal that when the electrolyzer capacity is 80% of the wind farm, a better energy balance is achieved, with 87.5% of the wind production consumed by the electrolyzer. In all scenarios, the energy stored is less than 5%, highlighting its limitation as a storage solution in this application. LCOE and LCOH differ minimally between scenarios. Saved emissions from wind power reach 268 (Formula presented.) /year while those from hydrogen production amount to 520 (Formula presented.) /year, underlying the importance of hydrogen in hard-to-abate sectors.| File | Dimensione | Formato | |
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