Wind turbine wake analysis and modelling

高保真计算流体动力学（CFD）将用于模拟单个和小集群风力涡轮机的流动，以开发风力涡轮机尾迹及其合并和相互作用的详细模型。本文将考虑一般大型涡轮的性能和尾迹。将考虑垂直流剪切、横流速度和湍流强度变化以及导致无粘（堵塞）和粘性相互作用的相对装置放置的影响。CFD模拟将使用叶片分辨率RANS模型和致动器线LES模型进行，以捕获相关的尾流物理。涡轮尾迹的简化表示和重建对于理解控制尾迹演化的物理过程至关重要。将使用POD （Proper Orthogonal Decomposition）等流场解构方法来识别尾流发展、合并和表示中重要的阶尾流模式和物理过程，并将其用于开发新的尾流合并和演化模型和算法。

High fidelity Computational Fluid Dynamics (CFD) will be used to simulate flows past individual and small clusters of wind turbines to develop detailed models of wind turbine wakes and their merger and interactions. The performance and wakes of generic large turbines will be considered. The influence of vertical flow shearing, cross-stream variation in speed and turbulence intensity, and relative device placement that lead to inviscid (blockage) and viscous interactional effects will be considered. CFD simulations will be performed with blade resolved RANS models and Actuator Line LES models in order to capture relevant wake physics. Simplified representation and reconstruction of turbine wakes is of critical importance to developing understanding of the physical processes governing wake evolution. Flow-field decon-struction methods such as POD (Proper Orthogonal Decomposition) will be used to identify the leading order wake modes and physical processes important in wake development, merger and representation, which will be used to devel-op new wake merger and evolution models and algorithms.