Predicting exhaust emissions in a glow-assisted DI methanol engine using a combustion model combined with full kinetics

摘要

A numerical model has been developed to predict the formation of NO{sub}x and formaldehyde in the combustion and post-combustion zones of a methanol DI engine. For this purpose, a methanol-air mixture model combined with a full kinetics model has been introduced, taking into account 39 species with their 157 related elementary reactions. Through these kinetic simulations, a concept is proposed for optimizing methanol combustion and reducing exhaust emissions.