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Details of Grant 

EPSRC Reference: EP/H018662/1
Title: SUPERGEN WIND ENERGY TECHNOLOGIES-CORE, Towards the Offshore Wind Power Station
Principal Investigator: Hogg, Professor SI
Other Investigators:
Brown, Professor A Ruddell, Dr A Dutton, Dr A
Watson, Professor S McGregor, Professor P Anaya-Lara, Professor O
Hogg, Professor P Hancock, Dr PE Eames, Professor PC
Barnes, Professor M Robins, Emeritus Prof. A Cruden, Professor A
Cotton, Professor I Smith, Professor S Soutis, Professor C
Dixon, Professor R Ran, Professor L Mingham, Professor C
Leithead, Professor B Causon, Professor DM
Researcher Co-Investigators:
Project Partners:
Alstom Group E.ON E&P UK Ltd EA Technology
Mott Macdonald New & Renewable Energy Centre Siemens
TNEI Services Limited
Department: Engineering and Computing Sciences
Organisation: Durham, University of
Scheme: Standard Research
Starts: 23 March 2010 Ends: 30 September 2014 Value (£): 4,834,191
EPSRC Research Topic Classifications:
Materials Processing Wind Power
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:
Panel DatePanel NameOutcome
16 Oct 2009 SUPERGEN 4 Renewals Interview Panel Announced
Summary on Grant Application Form
The Mission of Supergen Wind 2'To undertake research to achieve an integrated, cost-effective, reliable & available Offshore Wind Power Station.'This will be done under the four objectives:Reliability.Resource estimation.Scaling up of turbine sizes.Lifetime costs.The project will have two parallel Initiating Themes during the first two years. The first to deal with research into the physics and engineering of the offshore wind farm. The second to look more specifically at the wind turbine, building upon the lessons of Supergen Wind 1. In the third and fourth years of the project, the results of these two Themes will feed into a third Gathering Theme, which will consider the wind farm as a power station looking at how the power station should be designed, operated and maintained for optimum reliability and what the overall economics will be.
Key Findings
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Summary
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