The Utilisation of Reduced Kinetics by Local Self-Similarity Tabulation Approach in 3D Turbulent Reactive Flow Simulation with LES and TPDF

Abstract

Combustion simulations with high fidelity turbulence models and detailed chemistry may suffer from high computational power requirements due to the combined cost of time-scale dissipation and small integration steps. Such a limitation can be avoided by employing a hybrid reaction mechanism reduction method called local self-similarity tabulation (LS2T). LS2T directly solves several dominant species reactions and incorporates the effects of other species on dominant ones by data retrieval from pre-calculated tables. This paper demonstrates the application of LS2T method to a 3D combustion simulation of Sandia Flame-D. The combustion simulation uses large eddy simulation as turbulence solver and transported probability density function for species transport, to increase the accuracy of the simulation and avoid the use of any additional reaction model. The results show that by use of LS2T method, it is possible to maintain high accuracy and generate results similar to detailed chemistry of methane combustion while maintaining an acceptable computational effort.