论文标题
风向对大气边界层偏航风力涡轮机唤醒的影响
Effects of wind veer on a yawed wind turbine wake in atmospheric boundary layer flow
论文作者
论文摘要
大型涡流模拟（LES）用于研究Veer（由于Coriolis加速而引起的风速的高度依赖性侧向偏转）对风力涡轮机唤醒的演变的影响。具体而言，这项工作的重点是相对于平均传入风速偏头的涡轮机，后者产生具有卷曲（新月形）结构的横向偏转唤醒。这些效果可以归因于引入流的平均涡度以及在尾流的顶部和底部的反旋转涡流对（CVP）的形成。在不存在风向效应的真正中性边界层（TNBL）中，可以通过现有的分析唤醒模型来很好地捕获这些效果（Bastankhah等人J. Fluid Mech。（2022），933，A2）。但是，在受到科里奥利加速的大气边界层的更现实的情况下，现有模型需要重新检查和概括，以包括风转的影响。为此，在这项研究中研究了常规中性大气边界层（CNBL）与偏航风力涡轮机相互作用的流动。结果表明，在存在CVP的顶部和底部涡旋的情况下，表现出相当大的不对称性。但是，在去除涡度的旋转成分后，所得的分布更为对称，并且与在TNBL中观察到的分布非常吻合。这些结果用于开发一种简单的校正，以使用分析模型在CNBL中偏航涡轮机后预测平均速度分布。正如Abkar等人提出的那样，校正包括Veer引起的侧向尾流变形。 （Energies（2018），11（7），1838年）。将最终的模型预测与LES的平均速度分布进行了比较，并获得了良好的一致性。
Large Eddy Simulations (LES) are used to study the effects of veer (the height-dependent lateral deflection of wind velocity due to Coriolis acceleration) on the evolution of wind turbine wakes. Specifically, this work focuses on turbines that are yawed with respect to the mean incoming wind velocity, which produces laterally deflected wakes that have a curled (crescent-shaped) structure. These effects can be attributed to the introduction of streamwise mean vorticity and the formation of a Counter-rotating Vortex Pair (CVP) on the top and bottom of the wake. In a Truly Neutral Boundary Layer (TNBL) in which wind veer effects are absent, these effects can be captured well with existing analytical wake models (Bastankhah et al. J. Fluid Mech. (2022), 933, A2). However, in the more realistic case of atmospheric boundary layers subjected to Coriolis acceleration, existing models need to be re-examined and generalized to include the effects of wind veer. To this end, the flow in a Conventionally Neutral Atmospheric Boundary Layer (CNBL) interacting with a yawed wind turbine is investigated in this study. Results indicate that in the presence of veer the CVP's top and bottom vortices exhibit considerable asymmetry. However, upon removing the veer component of vorticity, the resulting distribution is much more symmetric and agrees well with that observed in a TNBL. These results are used to develop a simple correction to predict the mean velocity distribution in the wake of a yawing turbine in a CNBL using analytical models. The correction includes the veer-induced sideways wake deformation, as proposed by Abkar et al. (Energies (2018), 11(7), 1838). The resulting model predictions are compared to mean velocity distributions from the LES and good agreement is obtained.
