Rolls-Royce Fuel Cell Systems (RRFCS) is currently developing a stationary 1MW SOFC power generation system based on Integrated-Planar SOFC technology. RRFCS is also developing state of the art numerical prediction tools that will be used to support fuel cell product design. One such tool, the Multi-Physics Code (MPC), is based in the STAR-CCM+ (CD-adapco) computational fluid dynamics software package. This paper is concerned with the validation of MPC predictions against fuel cell current-voltage (IV curve) measurements made from singe-cell tests. Validation results are presented for 31 sets of IV curves which illustrate the effect of changing gas conditions and material properties on cell performance. The calculated mean computational errors are 0.3% for open circuit potential predictions and 1.7% and 4.4% respectively for predictions of cell potential at maximum current density and cell area specific resistance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.