| 基于ASCAT风场数据的中国近海风能资源评估 |
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| 引用本文： | 许遐祯,郭乔影,李正泉,黄敬峰.基于ASCAT风场数据的中国近海风能资源评估[J].气象科学,2017,37(6):816-824. |
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| 作者姓名： | 许遐祯 郭乔影 李正泉 黄敬峰 |
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| 作者单位： | 江苏省气候中心, 南京 210009,浙江大学 农业遥感与信息技术应用研究所, 杭州 310058,浙江省气候中心, 杭州 310007,浙江大学 农业遥感与信息技术应用研究所, 杭州 310058;国家海洋局第二海洋研究所 卫星海洋环境动力学国家重点实验室, 杭州 310012 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY201306050）；浙江省科技计划项目（2013C33068） |
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| 摘 要： | 卫星反演海面风场资料能够弥补海上气象测风资料缺乏的不足,对近海风能资源评估具有重要意义。通过ASCAT(Advanced Scatterometer)风速数据与美国及中国近海岸浮标测风资料的对比分析,结果表明,ASCAT风速的均方根误差为1.27 m·s-1。比较利用近海岸浮标逐小时风速及与其相匹配ASCAT瞬时风速计算的各项风能参数,得出ASCAT与浮标的平均风速和风功率密度的残差分别在±0.5 m·s-1和±50 W·m-2以内,该残差占浮标计算结果的比例分别在±8%和±12%以内。使用ASCAT风速资料拟合的Weibull分布函数与浮标的结果较吻合。因此,ASCAT风速资料也能够为海上风能资源评估提供有用的风能参数信息。最后使用ASCAT瞬时风速数据分析了中国近海10 m及70 m高度处的风能资源的空间分布特征,结果表明,台湾海峡平均风速和风功率密度最大。
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| 关 键 词： | ASCAT 近海 风能资源 风功率密度 Weibull分布函数 |
| 收稿时间： | 2016/10/10 0:00:00 |
| 修稿时间： | 2016/11/13 0:00:00 |
Wind resource assessment in the offshore of China based on ASCAT wind data |
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| XU Xiazhen,GUO Qiaoying,LI Zhengquan and HUANG Jingfeng.Wind resource assessment in the offshore of China based on ASCAT wind data[J].Scientia Meteorologica Sinica,2017,37(6):816-824. |
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| Authors: | XU Xiazhen GUO Qiaoying LI Zhengquan and HUANG Jingfeng |
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| Institution: | Jiangsu Climate Center, Nanjing 210009, China,Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China,Zhejiang Climate Center, Zhejiang 310007, China and Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China;State Key Laboratory of Satellite Ocean Environment Dynamic, Second Institute of Oceanography, SOA, Hangzhou 310012, China |
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| Abstract: | Wind field data retrieved from the satellite can be a valuable supplement to on-site measurement and of great significance for offshore wind resource assessment. The daily wind speed data retrieved from ASCAT was compared with the buoy data near the coast of the United States and China. Results show that the root mean square error of wind speed was 1.27 m·s-1 in compared with the wind speeds of NDBC buoys. Then, the ASCAT daily data and offshore buoy hourly data were used to calculate the mean wind speed, wind power density and the Weibull probability density function. The residual errors of mean wind speed and wind power density associated with ASCAT and individual buoy were respectively less than ±0.5 m·s-1 and ±50 W·m-2. These residual errors of ASCAT compared with buoy mean wind speed and wind power density were respectively less than ±8% and ±12%. The Weibull wind speed distribution of ASCAT data shows good agreement with the result of buoy data. Therefore, ASCAT wind data can provide useful wind parameter information for offshore wind resource assessment. The spatial distribution of wind resources in the coast of China at the height of 10 m and 70 m from 2007 to 2015 were analyzed by using ASCAT wind speeds. The result indicates that the most favorable wind conditions are along the coastal area in the Taiwan Strait. |
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| Keywords: | ASCAT Offshore Wind energy resource Wind power density Weibull distribution function |
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