One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data
One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data
复制标题
用于模拟德克萨斯州北部风电场的单向中尺度-微尺度耦合：根据 SCADA 和 LiDAR 数据进行评估
DOI：
10.1002/we.2452
复制
发表时间：
2020
期刊：
影响因子：
4.1
通讯作者：
Leonardi, Stefano
中科院分区：
文献类型：
--
作者：
Santoni, Christian;García‐Cartagena, Edgardo J.;Ciri, Umberto;Zhan, Lu;Valerio Iungo, Giacomo;Leonardi, Stefano
已经对陆上风电场进行了单向嵌套中尺度到微观尺度模拟，嵌套了天气研究和预报（WRF）模型和我们的内部高分辨率大涡模拟代码（UTD-WF）。每个模拟包含五个嵌套的 WRF 域，其中最大的域跨越德克萨斯州北部狭长地带，分辨率为 4 公里，而最高分辨率 (50 米) 的嵌套模拟单个风电场内的微尺度风波动和涡轮机尾流。最精细的 WRF 域进而驱动 UTD-WF LES 更高分辨率域，用于六个涡轮机子集的分辨率为 ∼5 m。将 WRF 的风速、风向和边界层剖面与风电场内的气象塔和扫描多普勒测风激光雷达获得的测量结果进行比较。此外，根据监控和数据采集 (SCADA) 系统数据评估从 WRF 和 UTD-WF 获得的发电量。数值结果与风速、风向和涡轮机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，以评估嵌套如何以合理的计算成本解析各种尺度。已进行域敏感性分析。速度谱表明，将入口放置得太靠近第一排涡轮机会导致涡轮机旋转频率处出现不切实际的能量峰值。单个涡轮机的发电频谱和阵列的累积功率的频谱已与分析模型进行了比较。
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 ∼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.
登录
查看更多内容
亚网格尺度建模在风力发电机大涡模拟中的效果
DOI：
--
发表时间：
2018
期刊：
影响因子：
--
作者：
U. Ciri;M. Salvetti;Kenneth Carrasquillo;C. Santoni;G. Iungo;S. Leonardi
通讯作者：
S. Leonardi
使用扫描多普勒测风激光雷达表征风力涡轮机尾流的测量程序
DOI：
--
发表时间：
2013
期刊：
影响因子：
--
作者：
G. Iungo;F. Porté
通讯作者：
F. Porté
大气条件变化中的风力涡轮机尾流：LES 和激光雷达测量
DOI：
10.1088/1742-6596/854/1/012050
发表时间：
2017
期刊：
Journal of Physics: Conference Series
影响因子：
--
作者：
L. Vollmer;J. Lee;G. Steinfeld;J. Lundquist
通讯作者：
J. Lundquist
影响因子：
1.9
作者：
P. Orlandi;S. Leonardi
通讯作者：
P. Orlandi;S. Leonardi
影响因子：
4.3
作者：
Nakanishi, Mikio;Niino, Hiroshi
通讯作者：
Niino, Hiroshi