Wind turbine wake analysis and modelling

高保真计算流体动力学（CFD）将用于模拟经过单个和小型风力涡轮机群的气流，以开发风力涡轮机尾流及其合并和相互作用的详细模型。将考虑通用大型涡轮机的性能和尾流。将考虑导致无粘性（堵塞）和粘性干扰效应的垂直流剪切、横向流速度和湍流强度变化以及相对装置位置的影响。将使用叶片解析RANS模型和致动器线LES模型进行CFD模拟，以捕获相关尾流物理特性。涡轮机尾流的简化表示和重建对于发展对控制尾流演变的物理过程的理解至关重要。POD（Proper Orthogonal Decomposition）等流场解构方法将用于识别尾流发展、合并和表示中的主要阶次尾流模式和重要物理过程，并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.