EPSRC Reference: |
GR/S58904/01 |
Title: |
Development of Efficient Methods for Global Sensitivity & Uncertainty Analysis within Reactive Flow Models Using High Dimensional Model Representation |
Principal Investigator: |
Tomlin, Professor AS |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Fuel and Energy |
Organisation: |
University of Leeds |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 2004 |
Ends: |
31 March 2008 |
Value (£): |
71,271
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EPSRC Research Topic Classifications: |
Combustion |
Fluid Dynamics |
Heat & Mass Transfer |
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EPSRC Industrial Sector Classifications: |
Manufacturing |
Environment |
Energy |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The use of computational modelling as a design tool is increasing within engineering applications since it can reduce the burden of expensive experimental programmes and explore new situations. The confidence limits of model predictions are therefore crucial in many areas of engineering application. They can be determined by comparison between model and experiment, but this often relies on costly programmes of research and is therefore carried out for limited conditions. The quantification of model uncertainties is therefore a crucial factor where models are used to inform decisions. Global sensitivities of model outputs to inputs are the best available tools for this purpose, but using current methodologies their calculation consumes large amounts of computational effort. As a result, uncertainty analysis is much underused within engineering models. The project aims therefore to develop efficient methods for global uncertainty analysis based on High Dimensional Model Representations, and to demonstrate their usefullness via comparison with traditional techniques for a range of applications within process and environmental modelling including; i) modelling the NOx-SOx interactions within a complex flame with many uncertain input parameters; ii) the impact of urban emissions on the formation of air pollution.
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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.leeds.ac.uk |