Computational modelling of metal-supported SOFCs: current approaches and future opportunities

Abstract

Metal-supported solid oxide fuel cells (MS-SOFCs) have recently emerged as a promising configuration to reduce material costs and increase the mechanical robustness of solid oxide technologies. Recently, experimental research has focused on addressing fabrication challenges and degradation mechanisms. Computational modelling of MS-SOFCs remains limited, although there are potential benefits to simulation based analysis and optimization. This paper presents the current status of MS-SOFC research, with particular attention to support structures and degradation mechanisms. The paper also presents a foundation for modelling SOFCs at the cell scale, and highlights recent literature that could be adapted for MS-SOFC research. In addition to conventional computational modelling, the potential of data-driven methods such as surrogate models is reviewed for future work. This is the first focused review on computational approaches for MS-SOFCs, providing a foundation for future modelling and optimization of these emerging cell architectures.