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COMPUTATIONAL MODELLING FOR ADVANCED NUCLEAR POWER PLANTS

Reference Number
EP/I003010/1
Title
COMPUTATIONAL MODELLING FOR ADVANCED NUCLEAR POWER PLANTS
Status
Completed
Energy Categories
Nuclear Fission and Fusion(Nuclear Fission, Nuclear supporting technologies)
Research Types
Basic and strategic applied research
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (General Engineering and Mineral & Mining Engineering)
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Dr S Walker
Department of Mechanical Engineering
Imperial College London
Award Type
Standard
Funding Source
EPSRC
Start Date
20 December 2010
End Date
19 December 2014
Duration
48 months
Total Grant Value
£1,569,231
Industrial Sectors
Energy
Region
London
Programme
Energy : Energy
Investigators
Principal Investigator
Dr S Walker, Department of Mechanical Engineering, Imperial College London
Other Investigator
Dr MJ Bluck, Department of Mechanical Engineering, Imperial College London
Dr MD Eaton, Department of Earth Sciences, Imperial College London
Professor M Fairweather, Inst of Particle Science & Engineering, University of Leeds
Professor AJ Goddard, Department of Earth Sciences, Imperial College London
Dr J Gorman, Earth Science and Engineering, Imperial College London
Professor GF Hewitt, Chemical Engineering, Imperial College London
Professor H Iacovides, Mechanical, Aerospace and Civil Engineering, University of Manchester
Dr R Issa, Department of Mechanical Engineering, Imperial College London
Professor D Laurence, Mechanical, Aerospace and Civil Engineering, University of Manchester
Professor CC Pain, Department of Earth Sciences, Imperial College London
Professor M Reeks, Mechanical and Systems Engineering, Newcastle University
Web Site
Objectives
Abstract
Modern computational methods can be a very valuable tool in assessing the behaviour of nuclear power stations, and ensuring that they present minimal hazard to either the public or the environment. This proposal is to fund research further to develop such methods, and by careful comparison of their predictions with actual measurements, establish predictive tools that are appropriate, robust, efficient and validated. The work proposed seeks to achieve this by developing a basis for the verification and validation of computational tools against well-defined benchmark cases. It also seeks to develop advanced computational methods to address problems in normal operation and fault conditions, as well as to investigate aspects of system behaviour in severe accident situations
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Added to Database
01/07/10