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.
Bio-fuels are potentially a major part of our energy supply, particularly for the transport sector. Even though they could be carbon neutral, the combustion of bio-fuels just like the combustion of fossil-fuel will emit toxic gases such as carbon monoxide, nitric oxide and soot. Good predictive models can help engine designers to limit such harmful emissions. However, the multi-component nature of most bio-fuels poses a challenge to current modelling capability since combustion models have been developed for single component, pure fuels. The PhD student will develop and validate advanced combustion models applicable to multi-component bio-fuels. A significant contribution will be made towards reducing emissions in transport and energy generation.
This project is open to both domestic and international PhD students. International students who do not have funding from their home country will be required to apply for a living allowance and tuition fee scholarships such as IPRS. Such scholarships are very competitive and a successful applicant would normally be within the top 5% of their graduating class and additionally have published at least one paper in a high ranking journal. Correspondence with the supervisor should give evidence of these credentials.
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The opportunity ID for this research opportunity is: 1553
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