A 3-D CFD model based on KIVA 3 code is developed with a “reduced” detailed chemical kinetics of 291 elementary reaction steps with 79 chemical species for diesel fuel combustion. The model was validated by the corresponding experimental results and employed to examine some important parameters which have significant effects on the engine performance for an IDI diesel engine with a swirl chambe...

This paper investigates neural network based estimation of NOx emissions in a thermal power plant, fed with both oil and methane fuels. Two types of neural network namely a novel ‘eng-genes’ architecture and a Multilayer Perceptron (MLP) have been developed, both being optimised using genetic algorithms. Due to the local nature of the NOx generation process, operational information on the burne...