A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks
Pan W, J Bao, C Lo, C Lai, K Agarwal, BJ Koeppel, and MA Khaleel. 2013. "A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks." Journal of Power Sources 232:139-151. doi:10.1016/j.jpowsour.2013.01.057
A reduced order modeling approach based on response surface techniques was developed for solid oxide fuel cell stacks. This approach creates a numerical model that can quickly compute desired performance variables of interest for a stack based on its input parameter set. The approach carefully samples the multidimensional design space based on the input parameter ranges, evaluates a detailed stack model at each of the sampled points, and performs regression for selected performance variables of interest to determine the responsive surfaces. After error analysis to ensure that sufficient accuracy is established for the response surfaces, they are then implemented in a calculator module for system-level studies. The benefit of this modeling approach is that it is sufficiently fast for integration with system modeling software and simulation of fuel cell-based power systems while still providing high fidelity information about the internal distributions of key variables. This paper describes the sampling, regression, sensitivity, error, and principal component analyses to identify the applicable methods for simulating a planar fuel cell stack.