| 自动站风能参数的短序列订正方法及其应用研究 |
| |
| 引用本文： | 汪婷,吴息,江志红,黄世成.自动站风能参数的短序列订正方法及其应用研究[J].应用气象学报,2008,19(5):547-553. |
| |
| 作者姓名： | 汪婷 吴息 江志红 黄世成 |
| |
| 作者单位： | 1.南京信息工程大学江苏省气象灾害重点实验室, 南京 210044 |
| |
| 摘 要： | 利用江苏省2005年自动站与基本气象站测风资料, 以及基本站1971—2000年测风资料, 探讨了风速及风功率密度的短序列订正方法, 并将各自动站数据分别订正到3个代表年。结果表明:应用该订正方法订正年平均风速, 其平均误差百分率为3.38%;用基本站作为假设自动站对其作平均气候状况下的订正, 再与自身观测值比较, 得到年平均风速订正的平均误差百分率为7.13%, 风功率密度订正的平均误差百分率为13.26%, 最大误差百分率为21.98%, 最小误差百分率为4.46%, 订正效果较为理想。
|
| 关 键 词： | 风能参数 自动站 基本站 短序列订正 |
| 收稿时间： | 2007-09-25 |
| 修稿时间： | 1/7/2008 12:00:00 AM |
Short Sequence Adjusting Method of Automatic Station's Wind Energy Parameter |
| |
| Wang Ting,Wu Xi,Jiang Zhihong and Huang Shicheng.Short Sequence Adjusting Method of Automatic Station's Wind Energy Parameter[J].Quarterly Journal of Applied Meteorology,2008,19(5):547-553. |
| |
| Authors: | Wang Ting Wu Xi Jiang Zhihong and Huang Shicheng |
| |
| Institution: | 1.Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing 2100442.Meteorolagical Bureau of Kunshan in Jiangsu Province, Kunshan 2153373.Jiangsu Provincial Institute of Meteorological Science, Nanjing 210008 |
| |
| Abstract: | With the reduced usage of the conventional energy and concerns of its environmental damage and air pollution if widely used, it becomes more and more important to exploit wind energy. In view of the sparse distribution of manual stations, it is necessary to add the data of automatic stations when assessing wind energy resources. However the time sequence of automatic stations is short, the short sequence adjusting method of wind speed and wind energy density by using the hourly wind speed data of automatic and manual stations in 2005 and manual stations during 1971—2000 of Jiangsu is discussed. According to the boundary layer meteorology the wind speed ratio between neighboring weather observation stations is affected by the turbulence intensity and the different roughness of land surface. The stronger the wind speed of manual station is, the smaller the ratio is. The wind of automatic station and neighboring manual station is affected much by geostrophic wind and it is less affected by turbulence. Using the inverse function to simulate the ratio in the same period, the correlativity between automatic station's wind speed and neighboring manual station's can be obtained easily. Then it is able to adjust the wind speed of automatic station in representative year according to the correlativity. The statistical connection with nearby stations is stable in the same period and in the same weather system. Therefore by using the statistical connection between average wind speed and wind energy density, the annual mean wind density is obtained in each representative year. The calculated results show that the average error percentage of annual average wind speed based on the short sequence adjusting method is 3.38%. Using the manual stations as hypothetical automatic stations to test the revised result on average climatic conditions, it is found that the average error percentage of annual average wind speed revision is 7.13%; the average error percentage of annual average wind energy density is 13.26%, and the maximal result is 21.98%, the minimal result is 4.46%. It is found that the short sequence adjusting method is effective in correcting the wind energy parameter. Finally after adding the corrected automatic stations' data, the distribution pattern of wind energy density in Jiangsu is obtained. The detailed wind energy distribution information is described by the distribution pattern especially over coastal and riverbank regions. It is better than the distribution pattern only with 67 manual stations. Scientific basis is provided by the results for the work of wind energy resources assessment. |
| |
| Keywords: | wind energy parameter automatic station manual station short sequence adjusting |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《应用气象学报》浏览原始摘要信息 |
| 点击此处可从《应用气象学报》下载免费的PDF全文 |
|
