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Details of Grant 

EPSRC Reference: EP/N508536/1
Title: SWEPT2
Principal Investigator: Infield, Professor D
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Electronic and Electrical Engineering
Organisation: University of Strathclyde
Scheme: Technology Programme
Starts: 01 May 2015 Ends: 30 April 2018 Value (£): 39,299
EPSRC Research Topic Classifications:
Wind Power
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
EP/N508500/1 EP/N508512/1 EP/N508524/1 EP/N508548/1
Panel History:  
Summary on Grant Application Form
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. However LIDAR data is not without its own technical challenges, mainly related to data dropout due at times to

inadequate back-scatter from aerosol particles. Strathclyde has experience of LIDAR measurement of wind turbine wakes

both onshore and offshore and will apply the methods previously developed to provide high quality data sets to be used for

model validation within the consortium. There are different ways in which flow field measurements and CDF calculations

can 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.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Project URL:  
Further Information:  
Organisation Website: http://www.strath.ac.uk