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首页> 外文期刊>Wind Energy >One-way mesoscale-microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data
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One-way mesoscale-microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data

机译:用于模拟北德克萨斯州风电场的单向中尺度-微观尺度耦合:针对SCADA和LiDAR数据的评估

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One-way nested mesoscale to microscale simulations of an onshore wind farm have been performed nesting the Weather Research and Forecasting (WRF) model and our in-house high-resolution large-eddy simulation code (UTD-WF). Each simulation contains five nested WRF domains, with the largest domain spanning the north Texas Panhandle region with a 4 km resolution, while the highest resolution (50 m) nest simulates microscale wind fluctuations and turbine wakes within a single wind farm. The finest WRF domain in turn drives the UTD-WF LES higher-resolution domain for a subset of six turbines at a resolution of similar to 5 m. The wind speed, direction, and boundary layer profiles from WRF are compared against measurements obtained with a met-tower and a scanning Doppler wind LiDAR located within the wind farm. Additionally, power production obtained from WRF and UTD-WF are assessed against supervisory control and data acquisition (SCADA) system data. Numerical results agree well with the experimental measurements of the wind speed, direction, and power production of the turbines. UTD-WF high-resolution domain improves significantly the agreement of the turbulence intensity at the turbines location compared with that of WRF. Velocity spectra have been computed to assess how the nesting allows resolving a wide range of scales at a reasonable computational cost. A domain sensitivity analysis has been performed. Velocity spectra indicate that placing the inlet too close to the first row of turbines results in an unrealistic peak of energy at the rotational frequency of the turbines. Spectra of the power production of a single turbine and of the cumulative power of the array have been compared with analytical models.
机译:嵌套了天气研究和预报(WRF)模型和我们内部的高分辨率大涡模拟代码(UTD-WF),从而对陆上风电场进行了单向嵌套的中尺度到微观尺度的模拟。每个模拟都包含五个嵌套的WRF域,其中最大的域以4 km的分辨率跨越得克萨斯州Panhandle北部地区,而最高分辨率(50 m)的嵌套则模拟单个风场内的微尺度风波动和涡轮机尾迹。最好的WRF域反过来为六个涡轮机的子集驱动UTD-WF LES高分辨率域,分辨率接近5 m。将WRF的风速,方向和边界层剖面与位于风电场内的气象塔和扫描多普勒测风LiDAR的测量结果进行比较。此外,根据监督控制和数据采集(SCADA)系统数据评估从WRF和UTD-WF获得的电力生产。数值结果与涡轮风速,风向和发电量的实验测量结果非常吻合。与WRF相比,UTD-WF高分辨率域显着提高了涡轮机位置处湍流强度的一致性。已经计算了速度谱图,以评估嵌套如何以合理的计算成本解决多种尺度。已执行域敏感度分析。速度谱表明,将入口放置得太靠近涡轮的第一排会导致在涡轮的旋转频率处出现不切实际的能量峰值。已将单个涡轮机的功率产生谱和阵列的累积功率谱与分析模型进行了比较。

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