NDLI: Assessment of China's Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

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Assessment of China's Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Qiaoying Guo Ran Huang Liwei Zhuang Kangyu Zhang Jingfeng Huang
Abstract	Wind resources assessment plays a significant role in site selection for the construction of offshore wind farms. Mean wind speeds (MWS), wind power densities (WPD), and Weibull parameters are the most important variables for wind resources assessment. These variables were estimated with the synergetic use of multiple satellite data (QuikSCAT + WindSAT + ASCAT) and meteorological data from coastal stations using spatial interpolation methods, including inverse distance weighting (IDW), ordinary kriging (OK), and ordinary co-kriging (OCK). The spatial variability of offshore wind energy resources over the China Sea is assessed at heights of 10 m and 100 m (hub height of wind turbine). Then, 8 buoy measurements were used to evaluate the accuracy of the offshore wind resources assessment. Our results show that combining multiple satellite data and coastal meteorological data improves the accuracy of wind resources assessment in the offshore areas and the OCK method show the best performance for accuracy in most cases. The statistical results comparing buoy-derived MWS and interpolated MWS show a root mean square error (RMSE) of 0.17 m/s and correlation coefficient (Corr.) of 0.987 at a height of 10 m. Statistics of the comparison between buoy-derived WPD and interpolated WPD by OCK show a RMSE of 23.38 $W/m^{2}$ at a height of 10 m. The results show that the highest wind resources are mainly found in the Taiwan Strait and offshore regions in Fujian province.
e-ISSN	20724292
DOI	10.3390/rs11222680
Journal	Remote Sensing
Issue Number	22
Volume Number	11
Language	English
Publisher	MDPI AG
Publisher Date	2019-11-01
Publisher Place	Switzerland
Access Restriction	Open
Subject Keyword	Science China Sea Offshore Wind Resources Spatial Interpolation Quikscat Windsat Ascat Meteorological Data
Content Type	Text
Resource Type	Article

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