Improved Chemical Reactor Network Application for Predicting the Emission of Nitrogen Oxides in a Lean Premixed Gas Turbine Combustor

Abstract

This study presents the improvement and application of a 24-element chemical reactor network (CRN) model for predicting the emission of nitrogen oxides in a lean premixed gas turbine combustor. The 24-element CRN improvement is based on the results of CFD simulations. The emission of nitrogen oxides predicted by the 24-element CRN is in good agreement with the experimental data obtauned at the Korea Electric Power Research Institute. The new CRN is able to handle complex chemical mechanisms. As there are few requirements for computation time, the CRN can be used as a tool for the analysis of combustion systems and can be integrated into gas turbine combustor designs.