Projects
Projects: Summary of Projects by RegionProjects in Region Scotland involving University of Strathclyde : EP/N508536/1 |
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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 |
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| 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 | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 20/07/15 | |
