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.
New understanding of turbulent flames with soot and particulate fuels. This project will develop the new understanding and models required to optimise practical furnaces, boilers and combustion chambers, most of which involve soot and/or particulate fuels. This work will be performed with state-of-the-art measurement and modelling tools through a well-established partnership of international researchers.
Accelerating clean automotive innovation: fundamental insights into alternative fuel combustion. To achieve the maximum efficiency from alternatively fuelled engines, better understanding and predictive models are needed for the major limiting factor in spark-ignition engine efficiency: knock. The project will address this gap, thereby accelerating development of better engines and strengthening national capacity in clean engine technology.
New understanding and models for two-phase solar thermal particle receivers. The project aims to provide the new understanding of, and computational design tools for, next generation solar thermal particle receivers and their hybrids. Particle receivers, which heat fine particles in suspension, offer much greater efficiency than current tubular receivers, but are presently unreliable due to the poor understanding of the complex and coupled mechanisms that govern their performance. The results ar ....New understanding and models for two-phase solar thermal particle receivers. The project aims to provide the new understanding of, and computational design tools for, next generation solar thermal particle receivers and their hybrids. Particle receivers, which heat fine particles in suspension, offer much greater efficiency than current tubular receivers, but are presently unreliable due to the poor understanding of the complex and coupled mechanisms that govern their performance. The results are expected to speed up the development and roll-out of these devices, to deliver cost-effective, low-emissions energy technologies for future power generation and thermo-chemical processes. The aims will be met by the parallel application of advanced laser diagnostic measurements and computational fluid dynamics modelling techniques.Read moreRead less