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Summary of Proposal COA2241

TitleInvestigation of offshore wind turbine wake using high spatial resolution TerraSAR-X data
Investigator Li, Xiaoming - Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth
Team MemberNo team members defined
SummaryWind turbines are widely used at onshore and offshore sites to utilize the energy of moving air and convert it into electrical power. Offshore wind tends to flow faster than onshore wind; thus, numerous large-scale offshore wind farms exist,for example, Horns Rev and Alpha Ventus in the North Sea, and Nysted in the Baltic Sea, have been built in European waters and now play an important role in providing renewable energy. As most offshore wind farms are sited in coastal zones, increasing attention has been drawn on using SAR for studies of offshore wind farming. Apart from its utilization of estimating potential wind to optimize micro-siting of offshore wind farms, airborne or spaceborne SAR, as an imaging radar, shows its unique advantage of mapping spatial variation of offshore wind turbine wakes due to its large coverage and high spatial resolution. The new generation of spaceborne SAR represented, for example, by TerraSAR-X/Tandem-X (TS-X/TD-X), Cosmo-Skymed, and RADARSAT-2, can provide imagery with high spatial resolution of up to 1 m. When TS-X/TD-X operates in Stripmap mode, it provides images with a pixel size of 1.25 m, which is 10 times that of conventional spaceborne SAR sensors, such as the ERS/SAR and ENVISAT/ASAR data in image mode. The much smaller pixel size of TS-X/TD-X than that of RADARSAT and ENVISAT/ASAR corresponds to a larger number of independent looks, which, in turn, contributes less speckle “noise” at a given spatial resolution and makes each single wind turbine and their wakes clearly visible in TS-X images. Therefore, this stimulates our interest to study offshore wind turbine wake using TS-X images in high spatial resolution. In the proposed study, combining with in situ measurements obtained at research platforms and derived from mobile Lidar, TS-X Stripmap and ScanSAR images and the retrieved sea surface wind field are used to investigate spatial variation of turbine wake at the offshore wind farms located in the North Sea and China Seas. The object is to understand what are the main factors that determine characteristics of offshore wind turbine wakes, including wake length, wake width, wake height,single or multiple wake, as well as spatial evaluation of wake. Case studies and statistical analysis are methodologies.
Funding to support this study is available through the "100 Talent Young Professor" start-up grand of the PI issued by the Chinese Academy of Sciences.

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