کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10292390 | 511175 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Synthetic aperture radar satellite data for offshore wind assessment: A strategic sampling approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Many studies have shown that the synthetic aperture radar (SAR) approach is an adequate tool for wind assessment and mapping in coastal and offshore areas. However, a large SAR scene sample is required to precisely calculate wind statistics. The proposed sampling algorithm, called strategic sampling, is based on a long term data series (e.g. QuikSCAT) from a nearby location to accurately evaluate the wind statistics with a reasonable number of wind observations (<45). Strategic sampling methodology relies on the complementarity of two databases: the SAR satellite RADARSAT-1 and the QuikSCAT scatterometer were chosen. Random sampling, on the other hand, requires 75 and 225 wind observations to estimate, respectively, the average wind speed and mean power output of a modern wind turbine, with an error less than 10% for a 90% confidence level. This represents a difference of at least two to seven times more SAR scenes for random sampling than for strategic sampling. The SAR sample selected via strategic sampling at a specific offshore location can then be used for wind predictions in neighboring regions. Finally, the strategic sampling algorithm is used to estimate the minimum number of SAR images for a coastal region located in eastern Canada.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Wind Engineering and Industrial Aerodynamics - Volume 99, Issue 1, January 2011, Pages 27-36
Journal: Journal of Wind Engineering and Industrial Aerodynamics - Volume 99, Issue 1, January 2011, Pages 27-36
نویسندگان
Philippe Beaucage, Gaëtan Lafrance, Julie Lafrance, Julien Choisnard, Monique Bernier,