论文标题
在预测垂直轴后面的尾流时,对星座和LES方法的评估
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine
论文作者
论文摘要
为了阐明垂直轴风力涡轮机(VAWT)唤醒特性,在本文中,我们向示例性的H形VAWT涡轮机介绍了高保真的CFD模拟,我们建议将适当的正交分解(POD)应用于转子的接近尾流中。在先前的实验和计算研究中广泛研究了所考虑的涡轮机。在研究的第一部分中,以峰值功率系数的尖端速度比(TSR)进行了多个雷诺平均的Navier-Stokes(RANS)模拟,以选择有关可用数据的最准确的湍流模型。在接下来的步骤中,在不同的TSR上进行了进一步的损失数值模拟,以将功率系数与实验数据进行比较。然后,将大型涡流模拟(LES)用于多个TSR条件。提取了空间和时间吊舱模式以及用于RANS和LES结果的模态能,并评估了湍流模型的性能。同样,考虑到计算模型的近似值的不同动力学水平,对POD模式相对于流量结构的解释也强调了预测的最重要时间和长度尺度。
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake characteristics, in this paper we present high-fidelity CFD simulations of the flow around an exemplary H-shaped VAWT turbine, and we propose to apply Proper Orthogonal Decomposition (POD) to the computed flow field in the near wake of the rotor. The turbine under consideration was widely studied in previous experimental and computational investigations. In the first part of the study, multiple Reynolds-Averaged Navier-Stokes (RANS) simulations were performed at the Tip Speed Ratio (TSR) of peak power coefficient, to select the most accurate turbulence model with respect to available data. In the following step, further RANS numerical simulations were performed at different TSRs to compare the power coefficient against experimental data. Then, Large Eddy Simulation (LES) was applied for multiple TSR conditions. The spatial and temporal POD modes along with modal energy for the RANS and LES results were extracted, and the performance of the turbulence models was assessed. Also, an interpretation of the POD modes with respect to the flow structures was given to highlight the most significant time and length scales of the predictions considering the different dynamical levels of approximations of the computational models.