Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations
Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations
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通过耦合 LiDAR 测量和 RANS 模拟，量化公用事业规模风力涡轮机产生的轴向感应
DOI：
10.1088/1742-6596/1037/7/072023
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Zhan, Lu
中科院分区：
文献类型：
--
作者：
Valerio Iungo, Giacomo;Letizia, Stefano;Zhan, Lu
通过地面激光雷达测量和RANS模拟，估算了公用事业规模风力涡轮机在不同运行和大气条件下施加的轴向感应。利用各自的尾迹方向和涡轮轮毂位置作为共同参考框架，对激光雷达数据进行了彻底的后处理，以平均尾迹速度场。不同的激光雷达扫描是根据它们在轮毂高度的来袭风速和大气稳定状态，即散装理查森数聚集在一起的。然后计算时间平均速度场，作为属于同一星团的扫描的集合平均值。激光雷达测量与RANS模拟相结合，以估计每组激光雷达数据的转子轴向感应。首先，将流向动量的控制体积分析应用于时间平均LiDAR速度场，以获得转子盘上轴向感应的初步估计。将计算得到的推力作为轴对称RANS模拟的作用力，用于估算压力、径向速度和动量通量。为了通过控制体积法精确估计转子轴向感应，将后者与激光雷达流向速度场相结合。这一过程将反复进行，直到实现转子轴向感应的收敛，同时将LiDAR和RANS的流向速度场之间的差异最小化。这个过程可以在从功率曲线的区域2到区域3的过渡中，在叶片俯仰角增加的同时，挑出推力载荷的减少。此外，在固定的风速下，从稳定状态过渡到对流稳定状态时，可以观察到推力的增强。为了量化不同操作和大气条件下的转子气动推力，提出了一种数据驱动的技术，以替代当前执行器盘模型中通常使用的叶片单元动量理论。
The axial induction exerted by utility-scale wind turbines for different operative and atmospheric conditions is estimated by coupling ground-based LiDAR measurements and RANS simulations. The LiDAR data are thoroughly post-processed in order to average the wake velocity fields by using as common reference frame their respective wake directions and the turbine hub location. The various LiDAR scans are clustered according to their incoming wind speed at hub height and atmospheric stability regime, namely Bulk Richardson number. Time-averaged velocity fields are then calculated as ensemble averages of the scans belonging to the same cluster. The LiDAR measurements are coupled with RANS simulations in order to estimate the rotor axial induction for each cluster of the LiDAR data. First, a control volume analysis of the streamwise momentum is applied to the time-averaged LiDAR velocity fields to obtain an initial estimate of the axial induction over the rotor disk. The calculated thrust force is imposed as forcing of an axisymmetric RANS simulation in order to estimate pressure, radial velocity and momentum fluxes. The latter are combined with the LiDAR streamwise velocity field in order to refine the estimate of the rotor axial induction through the control volume approach. This process is repeated iteratively until achieving convergence on the rotor axial induction while minimizing difference between LiDAR and RANS streamwise velocity fields. This procedure allows to single out the reduction in thrust load while the blade pitch angle is increased transitioning from region 2 to 3 of the power curve. Furthermore, an enhanced thrust force is observed for a fixed incoming wind speed and transitioning from stable to convective stability regimes. The presented technique is proposed as a data-driven alternative to the blade element momentum theory typically used with current actuator disk models in order to quantify rotor aerodynamic thrust for different operative and atmospheric conditions.
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影响因子：
4.1
作者：
L. Zhan;S. Letizia;G. Valerio Iungo
通讯作者：
L. Zhan;S. Letizia;G. Valerio Iungo
用于大型风电场模拟的数据驱动 RANS
DOI：
--
发表时间：
2015
期刊：
影响因子：
--
作者：
G. Iungo;F. Viola;U. Ciri;M. Rotea;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
影响因子：
8.7
作者：
V. Santhanagopalan;M. Rotea;G. Iungo
通讯作者：
V. Santhanagopalan;M. Rotea;G. Iungo
使用三个同步测风激光雷达进行 3D 湍流测量：针对声波风速计的验证
DOI：
--
发表时间：
2014
期刊：
影响因子：
--
作者：
Fernando Carbajo Fuertes;G. Iungo;F. Porté
通讯作者：
F. Porté