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March 3, 2026
Open Access
Solid oxide fuel cell simulation model tuning using operating conditions dependent optimization techniques
HH
Haya Hesham
Ain Shams University
MR
MOHAMED ABDEL RAHMAN
Ain Shams University
GB
Ghada Bassioni
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Puntos clave
Performance improves with optimally tuned simulation models, achieving higher efficiency and output.
The analysis utilized operating conditions to inform tuning decisions for solid oxide fuel cells.
Simulation models were adjusted using advanced optimization techniques tailored to specific operating environments.
Findings may enable better design and efficiency in solid oxide fuel cells, enhancing energy systems.
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Solid oxide fuel cell simulation model tuning using operating conditions dependent optimization techniques | Synapse
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Hesham et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c2ac6e9836116a24b68
https://doi.org/https://doi.org/10.1038/s41598-025-34342-3