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| Offshore Wind Resouce Assessment Based on WRF Model |
| Received:June 06, 2013 Revised:September 01, 2013 |
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| DOI：10.7643/issn.1672-9242.2013.05.001 |
| KeyWord:offshore-wind resource assessment numerical weather prediction WRF model |
| Author | Institution |
| CHEN Nan |
Guangdong Electric Power Design Institute，China Energy Engineering Group Co.，Ltd，Guangzhou，China |
| YANG Ping |
National-Local Joint Engineering Laboratory for Wind Power Control and Integration Technology，Guangzhou，China;School of Electricity Power，South China University of Technology，Guangzhou，China |
| ZOU Shu |
Guangdong Key Laboratory of Clean Energy Technology，Guangzhou，China;School of Electricity Power，South China University of Technology，Guangzhou，China |
| XU Zhi-rong |
National-Local Joint Engineering Laboratory for Wind Power Control and Integration Technology，Guangzhou，China;School of Electricity Power，South China University of Technology，Guangzhou，China |
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| Abstract: |
| Traditional wind resource assessment methods were summarized. The WRF model based offshore wind resource assessment method was discussed from two aspects. First, marine wind resource assessment based on WRF model was analyzed in detail; secondly, the wind resource was quantitatively estimated with examples of Pearl River offshore wind farms, and the results were compared. It was concluded that use of numerical weather prediction for offshore wind resource assessment is necessary for lack of long-term and large-scale offshore wind measurement network; wind shear exponent changes dramatically and should not be treated as a constant; NWP data should be corrected based on the data of anemometer tower; for wind farms with designated location, there is no significant difference between assessment of anemometer tower and NWP. |
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