Predictive models for the combustion of multi-component bio-fuels. This project will develop advanced, computationally efficient models for predicting pollutant emissions from the combustion of bio-fuels. The models will target practical engineering-scale applications with the aim of achieving improved energy conversion and improved urban air quality.
Investigations of the atomisation and turbulent combustion of biodiesels. This project will provide a quantitative understanding of the atomisation, and turbulent combustion characteristics of biodiesel fuels. Such knowledge will facilitate the optimisation of biodiesel blends and hence the uptake of renewable fuels that yield lower emissions without compromising efficiency.