Computational modelling of metal-supported solid oxide fuel cells

Metal-supported solid oxide fuel cells (MS-SOFCs) is a novel type of SOFC configuration. The technology has potential to significantly lower the price of SOFCs, while introducing other strengths, such as mechanical robustness and thermal stability. There are still plenty of problems to solve regarding e.g. degradation of the metal support and optimization of the support geometry.

Most of the current research regarding MS-SOFCs is experimental. In this project, we aim to utilize computational modelling to accelerate research of important topics regarding MS-SOFCs. The methods are mainly focused on the finite element method (FEM), but we will explore other methods, including data-driven methods such as machine learning. As a result, we hope that this project will give a solid foundation for computational modelling in our group, along with key findings in addressing the current issues of MS-SOFCs.