| EPSRC Reference: |
EP/S017259/2 |
| Title: |
Fundamental study of biofuel combustion: flame stabilisation and emissions using advanced optical diagnostics |
| Principal Investigator: |
Yuan, Dr R |
| Other Investigators: |
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| Department: |
Mechanical Engineering |
| Organisation: |
University of Sheffield |
| Scheme: |
EPSRC Fellowship |
| Starts: |
01 December 2020 |
Ends: |
30 November 2022 |
Value (£): |
244,778
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Summary on Grant Application Form |
World-wide, energy conversion is currently dominated by the combustion of fossil fuels. Electricity generation and transport are key energy consumers and contribute significantly to atmospheric CO2, NOx, and particulate emission. There is an increasing awareness in the public eye of the potential impact of particulates on health. This includes a higher risk of cancer, asthma and a potential contribution to neurodegenerative disorders (e.g., Alzheimer's disease). In the UK, particulate matter (PM) from combustion processes is a significant contributor to poor air quality in urban areas; it has been reported that more than 25,000 deaths per year could be attributed to long-term exposure to anthropogenic particulate air pollution. As reported by DEFRA, poor air quality is the largest environmental risk to public health in the UK, contributing to an estimated £2.7 billion per year in lost productivity. Air pollution also results in damage to the natural environment, contributing to the acidification of soil and watercourses. An obvious solution might be to move towards the replacement of vehicles with electric, however, this technology is limited by range, recharge times and the cost of the battery - for which there is currently not the sufficient global infrastructure to directly replace vehicles powered by internal combustion engine powered. Another complementary solution is to find alternative fuels that are tailored to reduce destructive emissions such as NOx and particulates. This has the advantage that it could be rapidly deployed due to the overlap with existing fuel station infrastructure.
The main aim of the proposed research is to provide a fundamental understanding of the combustion performance and emissions characteristics of key biofuels. This is vital knowledge to aid the development of next-generation low carbon technologies. The key objectives are: (1) to provide high-quality experimental data from a study of spray flame behaviour and emissions using advanced optical diagnostic techniques such as laser-induced breakdown spectroscopy and laser-induced fluorescence, (2) to develop new combustion chemical kinetic models, based on COSILAB (Combustion Simulation Laboratory software), predicting soot and NOx emissions and (3) to establish collaborations with industrial and academic partners to investigate power generation and transport applications for next-generation biofuels.
In the proposed research, the targeted biofuels are: (1) ethanol, (2) iso-pentanol, (3) dimethyl ether (DME) and (4) combined fuels - ethanol, iso-pentanol, DME and biomethane. These key fuels are potentially next-generation biofuels. The production paths of these fuels are either well established or achievable. Ethanol and DME have already shown evidence of reduced emissions from engine tests. The understanding of combustion chemistry is essential to enable the delivery of a low NOx and soot emission combustion system. How the local chemistry is influenced by various turbulent flow conditions will be examined in detail.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.shef.ac.uk |