This paper investigates the characteristics of turbine wake which is the major factor determining the turbulence in wind farm and overall wind farm performance. Using the lattice Boltzmann method (LBM) and the large eddy simulation (LES) approach, dynamic simulations of detailed fluid flow and wake trajectory induced by the MEXICO wind turbine were carried out. Moreover, with the help of adaptive mesh refinement (AMR) method, the lattice units were allowed to be automatically refined to allocate more grid points on the solid walls and in the wake region. The simulation results were firstly compared with the experimental data for validation of the numerical model, as well as for investigation of the impact of sub‐grid scale (SGS) turbulence models. Within the present modeling framework, the characteristics of transient wake propagation, detailed flow field, and rotor‐tower interaction were investigated, and the effect of tip‐speed ratio was also analyzed. The present work indicates that, with a suitable SGS turbulence model, the LBM‐LES method is an effective way for dynamic simulations of wake structures induced by a wind turbine with a rotating rotor.

中文翻译：

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利用格子玻尔兹曼方法研究墨西哥风力涡轮机的尾流特性

本文研究了涡轮机尾流的特性，该特性是决定风电场湍流和整个风电场性能的主要因素。使用格子玻尔兹曼方法（LBM）和大涡模拟（LES）方法，对墨西哥风力涡轮机引起的详细流体流动和尾流轨迹进行了动态模拟。此外，借助自适应网格细化（AMR）方法，可以自动调整晶格单元，以在实体壁和尾流区域分配更多的网格点。首先将模拟结果与实验数据进行比较，以验证数值模型，并研究次网格规模（SGS）湍流模型的影响。在目前的建模框架内，瞬态尾波传播的特征 研究了详细的流场和转子-塔架相互作用，并分析了叶尖速比的影响。目前的工作表明，利用合适的SGS湍流模型，LBM-LES方法是动态模拟由带有旋转转子的风力涡轮机引起的尾流结构的有效方法。