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A multi-objective optimization framework for functional layer design in solid oxide electrolysis cells
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DOI：10.1016/j.matdes.2025.114486.png)
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Abstract
En 中文
• SOEC functional layer design via multi-objective optimization framework is developed. • MLP surrogate trained on data from detailed 3D Multiphysics SOEC model. • Optimization shows trade-offs between performance and cost on the Pareto front. • Optimal designs cut cell voltage to 1.288 V and stack cost to $0.126/kW.
Keywords:
Solid oxide electrolysis cell
Electrode design
Multi-objective optimization
Multiphysics simulation
Hydrogen production