A Stochastic Reactor Based Virtual Engine Model employing Detailed Chemistry for Kinetic Studies of In-Cylinder Combustion and Exhaust Aftertreatment

Introduction The objective of this work is to demonstrate a Stochastic Reactor based Virtual Engine concept (SRVE) for study of chemistry in in-cylinder combustion, through piping, and in the catalyst. The SRVE is based on stochastic reactors, which take into account inhomogeneities and turbulent mixing. Due to the low number of computational cells in each submodel (~100 1000), the model is CPU efficient. In all models detailed or reduced...