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Reference Number EP/N508512/1
Title SWEPT2
Status Completed
Energy Categories RENEWABLE ENERGY SOURCES(Wind Energy) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr P ( ) Hancock
No email address given
Mechanical, Medical, and Aerospace Engineering
University of Surrey
Award Type Standard
Funding Source EPSRC
Start Date 01 May 2015
End Date 30 April 2018
Duration 36 months
Total Grant Value £89,826
Industrial Sectors Energy
Region South East
Programme Energy : Energy
 
Investigators Principal Investigator Dr P ( ) Hancock , Mechanical, Medical, and Aerospace Engineering, University of Surrey (100.000%)
Web Site
Objectives The SWEPT2 consortium is funded via 5 EPSRC grants and one InnovateUK award : see EP/N508500/1, EP/N508512/1, EP/N508524/1, EP/N508536/1, EP/N508548/1, and InnUK/102239/01
Abstract

The SWEPT2 project aims to develop a sophisticated tool for modelling of wind turbine wakes and wake interactions. It is well known that present wake models are inadequate, especially for application to large offshore wind farms, and have led to wind farm designs with larger than expected wake losses. Improved wake models are essential for improved wind farm designs with improved energy yield. Validation of wake models is critical but difficult to undertake at full scale. By making use of LIDAR and full size turbines, the project aims to collect data on wakes that will provide confidence in the validation process.

Therefore, the EnFlo Laboratory at the University of Surrey will use its specialist wind tunnel facility, the EnFlo stratified flow windtunnel, to make measurements on model wind turbines wakes, wake-wake and wake-turbine interactions, in a range of wind flow conditions. The wind tunnel, one of the very few such facilities globally, is able to simulate stable and unstable atmospheric wind flow. Atmospheric stability has a large affect on turbine wakes, and the controlled environment of the laboratory allows more detailed studies than can be obtained from field measurements. One will complement and provide checks on the other. Both will provide insight into the relevant physics and test-case data for the development of computational prediction tools in the consortium

Publications (none)
Final Report (none)
Added to Database 15/07/15