Adaptive Chemical Model Reduction
H.N. Najm, J.C. Lee, M. Valorani, D.A. Goussis, M.Frenklach
We briefly review various chemical model reduction strategies with application in reacting flow computations. We focus on systematic methods, that enable automated model reduction. We highlight the specific advantages of computational singular perturbation (CSP) analysis. We outline a novel implementation of CSP, with adaptive tabulation of the basis vectors, that enables fast identification of the reduced chemical model at any point in the chemical phase space, and efficient integration of the chemical system. We describe this implementation in the context of a particular model problem that exhibits stiffness typical of chemical kinetic systems.