A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickne...

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Autores principales: Changhee Song, Sanghoon Lee, Bonhyun Gu, Ikwhang Chang, Gu Young Cho, Jong Dae Baek, Suk Won Cha
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2020-04-01
Colección:Energies
Materias:
anode-supported solid oxide fuel cell
artificial neural network
optimization
multi-armed bandit algorithm
Acceso en línea:https://www.mdpi.com/1996-1073/13/7/1621
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