针对风电场建设要求,论文利用非线性高分辨率数值模式NLMSFD尝试对山东荣成地区风资源进行评估。在试验区域内,分别选取两座测风塔不同高度上1年的月平均风速观测资料作为驱动值,利用模式对试验区的风速分布进行了模拟试验,获取了试验区100 m×100 m分辨率条件下风速一年四季的空间分布信息,并将模拟值与实测值对比,分析了模式在试验区地形及粗糙度条件下的模拟精度,评价了NLMSFD模式的可适用性。结果表明,模式的模拟结果基本能反映出月平均风速的时空变化规律,但两塔位置处模拟值与观测值的相对误差随高度和季节变化有所不同。从季节上看,模式的模拟结果在冬季较好,夏季误差稍大,春、秋次之;从高度上看,除10 m高度外,其它高度层的相对误差大多在10%以内。利用不同位置的观测资料驱动模式,模拟结果的精度也受影响。如利用远离海岸边的观测资料驱动模式要比近海观测资料驱动模式所得的模拟结果好;同时对于近海的测风塔,采用距地面位置较高的观测资料作为驱动值要比采用10 m高度的资料驱动模式的模拟精度好。这些结果说明NLMSFD模式在精细化风资源评估及风电场选址中具有一定的参考应用价值。
李文静, 刘晶淼, 陈艳春, 董旭光, 刘焕彬, 李 强
. 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[J]. 自然资源学报, 2010
, 25(7)
: 1172
-1185
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DOI: 10.11849/zrzyxb.2010.07.013
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.
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