EPSRC Reference: |
EP/C518101/1 |
Title: |
PLATFORM: Computational Combustion Engineering |
Principal Investigator: |
Jones, Professor W |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Mechanical Engineering |
Organisation: |
Imperial College London |
Scheme: |
Platform Grants (Pre-FEC) |
Starts: |
01 August 2005 |
Ends: |
31 July 2009 |
Value (£): |
386,419
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
Manufacturing |
Energy |
Transport Systems and Vehicles |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The proposed research is aimed at providing a platform for the development of computationally based modelling techniques, based on Large Eddy Simulation (LES), for the prediction of turbulent combusting flows, which will contribute to the development of future technology for sustainable energy with improved efficiency and reliability. An ability to predict the performance and reliability of new combustors at the design stage is of considerable benefit to both industry and society and is an essential aid in the quest to reduce C02 emissions released to the environment, as required by the Energy White Paper, achieve significant reductions in costs for many industries, such as those involved in transport, power generation, chemical processing and local government, because of their ability to meet emission targets and reduce their Carbon Tax liability and more economical manufacturing through elimination of over-design. The activities planned involve a combination of modelling and experimental studies aimed at providing the improved understanding and information needed for developing and evaluating LES techniques in combustion. In LES the equations of motion are filtered prior to solution so that the large scale energetic turbulent motions are computed directly while the effects of motions of 'size' smaller that the filter width - the sub-grid scales - are modelled. In combustion the sub-grid scales play a dominant role and the models to be studied and developed include conditional moment closures, sub-grid probability density function equation approaches, Flame surface density methods and conserved scalar formulations. Complimentary to this, new experimental tools will be developed and applied, for example, to the study of the properties and the evolution of reacting mixtures and the flame surface during reaction and will provide data for model development and testing.The proposed programme will also enhance new and existing links with a number of other leading international research groups working in related fields.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.imperial.ac.uk |