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### 基于NLMSFD模式对风速分布规律的数值模拟——以山东威海风电场为例

1. 1. 中国气象科学研究院, 北京 100081;
2. 山东省气候中心, 济南250031;
3. 威海市气象局, 山东 威海 264200
• 收稿日期:2010-02-05 修回日期:2010-04-28 出版日期:2010-07-10 发布日期:2010-07-10
• 作者简介:李文静(1985- ),女,内蒙古呼和浩特人,硕士,主要从事精细网格数值模式在风资源中的开发应用。E-mail:wen.wen.jing@163.com
• 基金资助:

山东省气象局气象科学技术研究项目(2007sdgxz09)。

### Numerical Simulation of the Wind Speed Distribution Law Based on NLMSFD Model —A Case of Wind Generated Electric Field in Weihai of Shandong

LI Wen-jing1, LIU Jing-miao1, CHEN Yan-chun2, DONG Xu-guang2, LIU Huan-bin2, LI Qiang3

1. 1. Chinese Academy of Meteorological Sciences, Beijing 100081, China;
2. Climate Center of Shandong Province, Ji’nan 250031, China;
3. Weihai Meteorological Bureau, Weihai 264200, China
• Received:2010-02-05 Revised:2010-04-28 Online:2010-07-10 Published:2010-07-10

Abstract: To fulfill the requirement of wind farm building, a high-resolution non-linear numerical model NLMSFD was used to assessment wind resource of Rongcheng area of Shandong. Experiment was as follows: In the experiment area, one-year average monthly wind speed observation data of different height in two wind towers were selected to drive the model, which simulated wind speed distribution of the experiment area, obtained the wind speed spatial distribution for one year in a pilot area under 100 m×100 m resolution. Through comparing the simulated values with observation values, simulation accuracy was analyzed under the conditions of topography and roughness of testing area and evaluated NLMSFD model’s applicability. The results show that the simulation of NLMSFD can reflect spatial and temporal variation of the average wind speed basically, but the relative error of simulated and observed values will change in the different height and seasons. From the seasonal perspective, the model simulation results are the best in winter, better in spring and autumn, worst in winter; from the point of view of height, most of the relative error is less than 10% except for the height of 10 m. The accuracy of simulation results is also affected by using observation data in different locations to drive model. For example, using observation data of the towers which are away from the coast to drive model, the results are better than the coastal observation data. At the same time, using observation data higher than 10 m to drive are better than using 10 m data. These results indicate that in the fine wind resource assessment and wind farm site choosing, NLMSFD model can be a kind of reference.