Projects: |
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Reference Number | EP/M009424/1 | |
Title | Ultra Efficient Engines and Fuels | |
Status | Completed | |
Energy Categories | Energy Efficiency(Transport) 50%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas combustion) 50%; |
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Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Physics) 20%; PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 20%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 60%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Dr R Morgan No email address given Sch of Computing, Engineering & Maths University of Brighton |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 February 2015 | |
End Date | 31 July 2018 | |
Duration | 42 months | |
Total Grant Value | £2,999,605 | |
Industrial Sectors | Energy; Transport Systems and Vehicles | |
Region | South East | |
Programme | Energy : Energy | |
Investigators | Principal Investigator | Dr R Morgan , Sch of Computing, Engineering & Maths, University of Brighton (99.986%) |
Other Investigator | Dr CR Stone , Engineering Science, University of Oxford (0.001%) Dr MH Davy , Engineering Science, University of Oxford (0.001%) Dr M McGilvray , Engineering Science, University of Oxford (0.001%) Professor P Ewart , Oxford Physics, University of Oxford (0.001%) Prof P (Pavlos ) Aleiferis , Mechanical Engineering, University College London (0.001%) Professor N Ladommatos , Mechanical Engineering, University College London (0.001%) Dr PR Hellier , Mechanical Engineering, University College London (0.001%) Professor H Zhao , Sch of Engineering and Design, Brunel University (0.001%) Dr J Xia , Sch of Engineering and Design, Brunel University (0.001%) Professor M Heikal , Sch of Engineering, University of Brighton (0.001%) Dr C Crua , Sch of Engineering, University of Brighton (0.001%) Dr K Vogiatzaki , Sch of Computing, Engineering & Maths, University of Brighton (0.001%) Prof A (Alasdair ) Cairns , Faculty of Engineering, University of Nottingham (0.001%) Dr A Pesiridis , Mech. Engineering, Aerospace & Civil En, Brunel University (0.001%) |
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Industrial Collaborator | Project Contact , Jaguar Land Rover Limited (0.000%) Project Contact , BP International Ltd (0.000%) Project Contact , Ricardo AEA Limited (0.000%) Project Contact , Delphi Diesel Systems Ltd (0.000%) |
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Web Site | ||
Objectives | ||
Abstract | This research seeks to address the knowledge gap with the internal combustion engine (ICE) and answer the question 'how far can you go?'. The research considers methods for reducing fuel consumption of the ICE from two directions: first by improving in-cylinder combustion processes and second through the use of designed fuels from sustainable sources, with the fuel chemistry matched to advanced high efficiency combustion systems. Three novel ICE concepts, aimed at achieving a step improvement of 20-33% reduction in fuel consumption from ICEs at near zero emissions will be investigated, with holistic integration of energy recovery (WP1). The concepts investigated are applicable to commercial vehicles, passenger cars and as electric vehicle range extenders. Novel designed fuels, will be investigated in WP2, including how the fuel molecule can be tailored to improve the ignition and combustion characteristics of the fuel in a novel ICE combustion system. The spray and ignition processes of the new fuels will be characterised through the application of optical diagnostic techniques. WP3 covers the simulation of the ICE combustion concepts and evaluation of current state of the art modelling methods when applied to such combustion systems and designed fuels, with potentially very different fluid characteristics to conventional diesel and petrol. Novel optical diagnostic techniques, including two line Planer Induced Fluorescence to track the vapour concentration and laser induced thermal grating spectroscopy to measure vapour temperature will be developed in WP4 and applied to the research in WP1 and WP2, providing validation for the modelling in WP3 | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 17/07/15 |