Projects
Projects: Summary of Projects by RegionProjects in Region Scotland involving ZephIR Limited : InnUK/102467/01 |
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| Reference Number | InnUK/102467/01 | |
| Title | Wind Turbine Integrated Lidar (WinTIL) | |
| Status | Completed | |
| Energy Categories | Renewable Energy Sources(Wind Energy) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Physics) 75%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 25%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given ZephIR Limited |
|
| Award Type | Collaborative Research & Development | |
| Funding Source | Innovate-UK | |
| Start Date | 01 October 2015 | |
| End Date | 31 March 2017 | |
| Duration | 18 months | |
| Total Grant Value | £698,206 | |
| Industrial Sectors | ||
| Region | Scotland | |
| Programme | Competition Call: 1411_CRD2_ENE_GEN_ENCATLS2 - Energy Catalyst - Mid Stage - Full Stage. Activity Energy Catalyst Rnd 2 - Early Stage | |
| Investigators | Principal Investigator | Project Contact , ZephIR Limited (81.026%) |
| Other Investigator | Project Contact , Loxham Precision Limited (18.974%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | WinTIL will develop the technology for the first generation of LIDAR systems suitable for integration into wind turbines, in order to provide advance information about the incident wind field across the entire rotor area. This data can then be used by turbine control systems to minimise fatigue loads and to optimise energy extraction. Reductions in fatigue loads on turbines and components will enable optimised service intervals and extend service life for onshore and offshore turbines. More efficient, safer and more reliable energy generation will reduce costs and improve public perceptions of wind energy. It is currently impossible to use lidars in this way due to technology limitations and the need for systems to be cheaper, more reliable and compact. WinTIL will integrate continuous-wave (CW) lidar into the turbine and reduce system complexity through innovations such as automatic scanning, optimised optical transceivers and data processing algorithms. The WinTIL consortium has experience of incorporating current wind lidars into turbines for research purposes, and is ideally placed to move these concepts to a market-ready design.WinTIL will develop the technology for the first generation of LIDAR systems suitable for integration into wind turbines, in order to provide advance information about the incident wind field across the entire rotor area. This data can then be used by turbine control systems to minimise fatigue loads and to optimise energy extraction. Reductions in fatigue loads on turbines and components will enable optimised service intervals and extend service life for onshore and offshore turbines. More efficient, safer and more reliable energy generation will reduce costs and improve public perceptions of wind energy. It is currently impossible to use lidars in this way due to technology limitations and the need for systems to be cheaper, more reliable and compact. WinTIL will integrate continuous-wave (CW) lidar into the turbine and reduce system complexity through innovations such as automatic scanning, optimised optical transceivers and data processing algorithms. The WinTIL consortium has experience of incorporating current wind lidars into turbines for research purposes, and is ideally placed to move these concepts to a market-ready design. | |
| 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 | 13/02/18 | |
