Thai-Quyen Quach, Jin Young Park
Solid oxide fuel cell (SOFC) systems face significant performance and cost challenges due to stack degradation and the resulting off-design operation of balance-of-plant (BoP) components. This study presents an optimization framework for SOFC operation that explicitly accounts for stack degradation and off-design BoP dynamics. A 10-cell hydrogen-fueled SOFC stack was fabricated and tested under varied flow and humidity conditions to obtain polarization data, which were used to calibrate the system model with an R² of 94.7 – 99.2%. The calibrated model, coupled with surrogate-based optimization, enables time-segmented scheduling of current density and fuel utilization with periodic setpoint updates over a 20-year techno-economic assessment based on levelized cost of electricity (LCOE), electrical efficiency, and lifetime electricity output. The results show that, under the assumptions of the representative case study, the optimized schedules can reduce LCOE by up to 16%, increase lifetime electricity output, and improve overall efficiency compared to fixed operation strategies.
@article{04ed6c80-87fa-4cf6-a6b3-dea850d849a5,
title={Degradation aware optimization of SOFC operating strategies un 2027 Applied },
author={Thai-Quyen Quach and Jin Young Park},
year={2026},
language={en}
}TY - JOUR TI - Degradation aware optimization of SOFC operating strategies un 2027 Applied AU - Thai-Quyen Quach AU - Jin Young Park PY - 2026 LA - en ER -
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