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Quantifying the Impact of Subgrid Scale Models in Actuator-Line Based LES of Wind Turbine Wakes in Laminar and Turbulent Inflow

机译:量化基于致动器线的划分规模模型的影响,湍流流入中的风力涡轮机卷曲

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Large Eddy Simulations (LES) have in recent years been applied to studies of wind turbine wakes and their interactions with the atmospheric boundary layer [1-5]. While many subgrid-scale (SGS) models have, over the years, been proposed (see [6]), the effects of various SGS models in simulations of wind turbine wakes has not been documented in great detail yet. In this study, we explore such effects in simulations of single wind turbine under laminar and turbulent inflow conditions. LES of wind turbine wakes are carried out using the actuator line (ACL) model [7]. To examine the effect of using different turbulent closures, various SGS models including the Smagorinsky model and two variants of the mixed-scale model presented in [8], are tested. Simulations are performed on a single turbine placed in uniform and turbulent inflow. Four simulations are performed to identify the role of SGS modeling on the wake characteristics. It is shown that in the near wake region, the mean velocity profiles in the wake are rather insensitive to the SGS model while the different models predict a different far wake. Considerable effects can be observed in profiles of second-order statistics of resolved velocities, as well as in profiles of subgrid-scale eddy viscosity. From comparisons of laminar and turbulent flow it is confirmed that the wake region in laminar inflow case grows less rapidly and extends further downstream in a more concentrated fashion, as compared to the turbulent inflow case, in which the wake grows (i.e. the velocity recovers) much faster.
机译:近年来,大型涡流模拟(LES)已应用于风力涡轮机唤醒的研究及其与大气边界层的相互作用[1-5]。虽然多年来,虽然多年来,虽然多年来已经提出了(见[6]),但各种SGS模型在风力涡轮机唤醒中的效果尚未详细记录。在这项研究中,我们在层流和湍流流入条件下探讨了单风力涡轮机模拟的效果。使用致动器线(ACL)模型进行风力涡轮机唤醒[7]。为了检查使用不同湍流闭合的效果,测试包括Smagorinsky模型的各种SGS模型和[8]中呈现的混合级模型的两个变体。在放置在均匀和湍流流入的单个涡轮机上进行仿真。进行四种模拟以识别SGS对唤醒特征对唤醒特征的作用。结果表明,在近唤醒区域中,唤醒中的平均速度分布对SGS模型相当不敏感,而不同的模型预测到不同的远唤醒。在已解析速度的二阶统计数据的概况中可以观察到相当大的效果,以及亚底级涡粘度的简档。从层流和湍流的比较来证实,与湍流流入壳体相比,层流入壳体中的唤醒区域在流入壳体中的速度较快地迅速增长并且进一步以更浓缩的方式进一步延伸,其中唤醒流入壳体(即速度恢复)快多了。

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