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Reference Number EP/N508536/1
Title SWEPT2
Status Completed
Energy Categories RENEWABLE ENERGY SOURCES(Wind Energy) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor D G Infield
No email address given
Electronic and Electrical Engineering
University of Strathclyde
Award Type Standard
Funding Source EPSRC
Start Date 01 May 2015
End Date 30 April 2018
Duration 36 months
Total Grant Value £39,299
Industrial Sectors Energy
Region Scotland
Programme Energy : Energy
Investigators Principal Investigator Professor D G Infield , Electronic and Electrical Engineering, University of Strathclyde (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 iswell known that present wake models are inadequate, especially for application to large offshore wind farms, and have ledto wind farm designs with larger than expected wake losses. Improved wake models are essential for improved wind farmdesigns with improved energy yield. Validation of wake models is critical but difficult to undertake at full scale. By makinguse of LIDAR and full size turbines, the project aims to collect data on wakes that will provide confidence in the validationprocess. However LIDAR data is not without its own technical challenges, mainly related to data dropout due at times toinadequate back-scatter from aerosol particles. Strathclyde has experience of LIDAR measurement of wind turbine wakesboth onshore and offshore and will apply the methods previously developed to provide high quality data sets to be used formodel validation within the consortium. There are different ways in which flow field measurements and CDF calculationscan be compared to assess the quality of wake models; the Strathclyde team will apply methods previously developed and shown to be effective to the SWEPT2 validation
Publications (none)
Final Report (none)
Added to Database 20/07/15