一种中微尺度耦合方法在风资源评估中的应用

Application of a meso⁃microscale coupled modelling method to wind resource assessment

风资源评估过程中,在缺少实际测风数据的情况下完成风场的精细化模拟具有重要的工程意义。在微尺度风场模拟过程中,引入中尺度数据为风场提供真实的边界条件,实现了降尺度精细化风场模拟。结合测风塔推算发现:相较于传统的统一边界条件的设置,利用中尺度数据分扇区生成边界条件进行降尺度的平均风速的精度有较明显提升。此外,还利用中尺度数据作为虚拟测风数据,对风资源评估中的定向计算结果进行校正,完成对机位点风机发电量等计算,解决无测风数据时风资源评估困难的难题。案例分析结果证实了该方法的先进性与工程应用价值。

During the wind resource assessment of a wind farm,it's of great engineering significance to complete refined simulation of wind fields in the absence of wind measurement data.In this paper,mesoscale data was utilized to pro⁃vide realistic boundary conditions for the wind farm and achieve downscale refinement of wind farm simulation.By com⁃bining with the projection of wind measurement mast,it is found that compared with the traditional uniform boundary condition setting,the CFD's result of generating boundary conditions for different wind⁃sectors using mesoscale data reduced the average wind speed error.In addition,the mesoscale data was also used as a virtual wind measurement mast to correct the results of CFD and complete the synthesis for turbines,solving the problem of no wind measurement data in wind resource assessment.Numerical example indicates the advance and the engineering practical value of the proposed method.