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Remote Sens. 2011, 3(1), 117-144; doi:10.3390/rs3010117

SAR-Based Wind Resource Statistics in the Baltic Sea

Wind Energy Division, Risø DTU, Frederiksborgvej 399, 4000 Roskilde, Denmark
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Received: 16 November 2010 / Revised: 22 December 2010 / Accepted: 31 December 2010 / Published: 11 January 2011
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Abstract

Ocean winds in the Baltic Sea are expected to power many wind farms in the coming years. This study examines satellite Synthetic Aperture Radar (SAR) images from Envisat ASAR for mapping wind resources with high spatial resolution. Around 900 collocated pairs of wind speed from SAR wind maps and from 10 meteorological masts, established specifically for wind energy in the study area, are compared. The statistical results comparing in situ wind speed and SAR-based wind speed show a root mean square error of 1.17 m s−1, bias of −0.25 m s−1, standard deviation of 1.88 m s−1 and correlation coefficient of R2 0.783. Wind directions from a global atmospheric model, interpolated in time and space, are used as input to the geophysical model function CMOD-5 for SAR wind retrieval. Wind directions compared to mast observations show a root mean square error of 6.29° with a bias of 7.75°, standard deviation of 20.11° and R2 of 0.950. The scale and shape parameters, A and k, respectively, from the Weibull probability density function are compared at only one available mast and the results deviate ~2% for A but ~16% for k. Maps of A and k, and wind power density based on more than 1000 satellite images show wind power density values to range from 300 to 800 W m−2 for the 14 existing and 42 planned wind farms. View Full-Text
Keywords: offshore wind; satellite SAR; wind energy; wind resource offshore wind; satellite SAR; wind energy; wind resource
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Hasager, C.B.; Badger, M.; Peña, A.; Larsén, X.G.; Bingöl, F. SAR-Based Wind Resource Statistics in the Baltic Sea. Remote Sens. 2011, 3, 117-144.

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