Using Satellite SAR to Characterize the Wind Flow around Offshore Wind Farms

Energies

Charlotte Bay Hasager³  Pauline Vincent²  Jake Badger³  Merete Badger³  Alessandro Di Bella³  Alfredo Pe༚³  Romain Husson²  Patrick J. H. Volker³  Vincenzo Dovì¹ 

[1] Technical University of Denmark, Wind Energy Department, Frederiksborgvej 399, Roskilde 4000, Denmark;;Collecte Localisation Satellites, Avenue La Pérouse, Bâtiment le Ponant, Plouzané 29280, France; E-Mails:;Technical University of Denmark, Wind Energy Department, Frederiksborgvej 399, Roskilde 4000, Denmark; E-Mails:

关键词: wind farm wake;    offshore;    satellite;    SAR;    remote sensing;   

DOI  :  10.3390/en8065413

来源: mdpi

【 摘 要 】

Offshore wind farm cluster effects between neighboring wind farms increase rapidly with the large-scale deployment of offshore wind turbines. The wind farm wakes observed from Synthetic Aperture Radar (SAR) are sometimes visible and atmospheric and wake models are here shown to convincingly reproduce the observed very long wind farm wakes. The present study mainly focuses on wind farm wake climatology based on Envisat ASAR. The available SAR data archive covering the large offshore wind farms at Horns Rev has been used for geo-located wind farm wake studies. However, the results are difficult to interpret due to mainly three issues: the limited number of samples per wind directional sector, the coastal wind speed gradient, and oceanic bathymetry effects in the SAR retrievals. A new methodology is developed and presented. This method overcomes effectively the first issue and in most cases, but not always, the second. In the new method all wind field maps are rotated such that the wind is always coming from the same relative direction. By applying the new method to the SAR wind maps, mesoscale and microscale model wake aggregated wind-fields results are compared. The SAR-based findings strongly support the model results at Horns Rev 1.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.