Sustainable Operation of Wind–Solar–Hydrogen-Integrated Energy Systems Considering Lifetime Degradation: Hybrid Electrolyzer Power Allocation and Array Rotation Strategies

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🔬研究者:Provides a detailed model of electrolyzer degradation and an optimization framework that can be extended or integrated with other energy system models.

🏢実務担当者:Offers actionable operational strategies for hybrid electrolyzer plants to reduce costs and extend equipment lifespan.

🏛政策担当者:Highlights the importance of supporting flexible hydrogen production strategies to enhance the viability of renewable hydrogen in national energy plans.

As global industrialization and energy demands rise, excessive reliance on fossil fuels escalates carbon emissions, making clean energy alternatives an urgent priority for sustainable development. As a key transition pathway, wind and solar power can be converted into hydrogen via electrolyzers for electricity generation, thermal supply, or natural gas synthesis. This enables flexible multi-energy coordination and improves overall renewable energy utilization efficiency. However, conventional electrolyzer scheduling approaches typically assume fixed hydrogen production efficiency, failing to account for dynamic variations in operating conditions, efficiency attenuation, and lifetime degradation under fluctuating renewable inputs. This inadequacy compromises the long-term sustainability of green hydrogen systems. To address these challenges, this paper proposes a hybrid AEL-PEM electrolyzer power allocation and operating condition array rotation strategy. Piecewise linear models are established to characterize the efficiency and full life cycle degradation of both electrolyzer types across normal operation, overload, and start–stop transitions. A mixed-integer linear programming (MILP) model is formulated with an objective function incorporating energy purchase costs, start–stop penalty costs, and electrolyzer lifetime degradation costs, and is solved using the Gurobi solver. Simulation validation is conducted using a 24 h typical summer day dataset with a 15 min resolution. Three comparative schemes are evaluated to verify the strategy’s effectiveness in minimizing total system operation costs and enhancing renewable energy utilization efficiency through optimized operating condition management. Results demonstrate that the proposed strategy reduces total system costs by 23%, entirely eliminates renewable energy curtailment, and balances electrolyzer lifespan degradation across all units, collectively advancing the economic efficiency, asset sustainability, and long-term operational reliability of green hydrogen systems.

• semanticscholar https://doi.org/10.3390/su18115322first seen 2026-05-28 05:19:22 · last seen 2026-06-03 05:20:05