Multiparametric engine optimization with application of biodiesel blends for better performance and lower exhaust gas emissions

Abstract

In this study the performance and emissions characteristics of 8-cylinder, 4-stroke, turbocharged Ford 6.7L diesel engine operating on conventional diesel fuel, different blends of soybean methyl ester (SME) and pure rapeseed methyl ester (RME) have been modelled. A multiparametric optimization was applied using Rosenbrock’s method. It was found that SME B20 was a better choice among other biodiesel blends that showed good emission reduction with little performance differences compared to those of the reference diesel fuel. The optimization analysis allowed achieving 81.8% reduction in NOx emissions and 75.4% reduction in the combined NOx and PM emissions.