Evaluation of an Entropy-Based Combustion Model using Stochastic Reactors

The entropy transport concept (ETC) presented in this paper is a novel approach to describe reaction systems such that the dynamic behavior of a chemical system can be reproduced with a minimum in independent parameters. It is shown that, for adiabatic conditions, the mixture fraction and the reaction entropy are sufficient to describe combustion processes without significant loss of information. Entropy is used as a measure of the reaction progress in this context. In order to evaluate the applicability of the ETC for combustion modeling in turbulent systems, the entropy transport concept was implemented into a stochastic reactor model. For several test cases, the results of this ETC‐based reactor were compared with a reactor that directly integrates the species transport equations. This article introduces the entropy transport concept, a method to generate chemistry data tables for CFD applications. The novelty is the use of entropy as a reaction progress variable which allows for the kinetic description of all kinds of chemical systems. Stochastic reactors are used to perform a first evaluation of this approach.