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Joint offshore wind turbine wake monitoring with spaceborne SAR and in-situ Lidar measurements

Jacobsen, Sven and Lehner, Susanne and Hieronimus, Julian and Schneemann, Jörge and Kühn, Martin (2015) Joint offshore wind turbine wake monitoring with spaceborne SAR and in-situ Lidar measurements. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XL-7 (W3), pp. 959-966. Copernicus Publications. 36th International Symposium on Remote Sensing of Environment (ISRSE), 11.-15. Mai 2015, Berlin, Germany. doi: 10.5194/isprsarchives-XL-7-W3-959-2015. ISSN 1682-1750.

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/959/2015/isprsarchives-XL-7-W3-959-2015.pdf


The increasing popularity of renewable energy resources has promoted the construction of offshore wind parks e.g. in the North Sea. While the wind park layout consists of an array of large turbines, the interrelation of turbine wind wakes with the remaining array is of substantial interest. The downstream spatial evolution of turbulent wind wakes is very complex and depends on manifold parameters such as wind speed, wind direction and ambient atmospheric stability conditions. To complement and validate existing numerical models, corresponding observations are needed. While in-situ measurements with e.g. anemometers provide a time-series at the given location, the merits of ground-based and space- or airborne remote sensing techniques are indisputable in terms of spatial coverage. Active microwave devices, such as Scatterometer and Synthetic Aperture Radar (SAR), have proven their capabilities of providing sea surface wind measurements and particularly SAR images reveal wind variations at a high spatial resolution while retaining the large coverage. The new generation of X-Band SAR satellites can obtain imagery with unprecedented resolution of up to 1m. We present the application of high resolution TerraSAR-X (TS-X) X-band SAR data for the investigation of wind turbine wakes at North Sea wind parks. For our studies, we apply the recently developed X-Band wind field algorithm XMOD2 and compare the derived wind parameters to on-site LIDAR measurements and meteorological information from the FiNO1 scientific platform in the Alpha Ventus array. Our study proves that SAR-derived wind fields are a powerful and reliable tool to observe and quantify turbine wind wake properties and dimensions. Implementation of such findings into models can optimize short-term power production predictions and facilitate scheduling of on-site construction work with regard to safety implications.

Item URL in elib:https://elib.dlr.de/95415/
Document Type:Conference or Workshop Item (Poster)
Additional Information:Link: Abstract & Conference Paper (PDF, 1364 KB) Poster presentation: Julian Hieronimus
Title:Joint offshore wind turbine wake monitoring with spaceborne SAR and in-situ Lidar measurements
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jacobsen, SvenUNSPECIFIEDhttps://orcid.org/0000-0003-4810-4186UNSPECIFIED
Kühn, MartinUniv. Oldenburg, OldenburgUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 959-966
Publisher:Copernicus Publications
Keywords:SAR, Wind, Energy, Turbine, Wake, LIDAR
Event Title:36th International Symposium on Remote Sensing of Environment (ISRSE)
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:11.-15. Mai 2015
Organizer:International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:26 Feb 2015 11:15
Last Modified:11 Aug 2023 11:41

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