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URANS simulations of a horizontal axis wind turbine under stall condition using Reynolds stress turbulence models

机译:使用Reynolds应力湍流模型在失速条件下的水平轴风风力涡轮机的urans模拟

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摘要

Over the last decade, a dramatic increase in the size of commercial wind turbines is noticeable. The optimal structural design and reliable fatigue-life prediction of these large-scale structures depend on the accurate modeling of the turbulent flow around the rotors. The present paper aims at extending the knowledge of the turbulent flow characteristics around horizontal axis wind turbines and assessing the performance of several URANS turbulence models, principally Reynolds stress turbulence (RST) models, in predicting the wind turbine aerodynamics under stall condition. The simulations are performed using the NREL phase Ⅵ wind turbine over a wide range of wind speeds. Three RST models and the linear and quadratic variants of the k - ω SST turbulence model are examined. The results demonstrate that the RST models generally provide more reliable predictions. An evaluation of the Boussinesq hypothesis questions the applicability of the turbulence models employing this hypothesis to the wind turbine aerodynamic problems. Finally, the elliptic blending RST model, which is one of the latest formulations of the RST models, appears to provide the best trade-off between accuracy and computational cost.
机译:在过去的十年中,商业风力涡轮机的大小的剧烈增加是明显的。这些大规模结构的最佳结构设计和可靠的疲劳 - 寿命预测取决于转子周围的湍流的精确建模。本文旨在扩展横轴风力涡轮机周围的湍流特性的知识,并评估几种尿素湍流模型的性能,主要是雷诺应力湍流(RST)模型,以预测失速条件下的风力涡轮机空气动力学。使用NREL相位ⅵ风力涡轮机在各种风速范围内进行模拟。检查了三个RST模型和K - ωSST湍流模型的线性和二次变体。结果表明,RST模型通常提供更可靠的预测。 Boussinesq假设的评价问题对采用这种假设的湍流模型对风力涡轮机空气动力学问题的应用。最后,椭圆混合第RST模型,即RST模型的最新配方之一,似乎提供了准确性和计算成本之间的最佳权衡。

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  • 来源
    《Energy》 |2020年第15期|118766.1-118766.20|共20页
  • 作者单位

    Ocean Engineering Department - Offshore Renewable Energy Group - GERO/COPPE Federal University of Rio de Janeiro Rio de Janeiro 21941-914 Brazil;

    Ocean Engineering Department - Offshore Renewable Energy Group - GERO/COPPE Federal University of Rio de Janeiro Rio de Janeiro 21941-914 Brazil;

    Ocean Engineering Department - Offshore Renewable Energy Group - GERO/COPPE Federal University of Rio de Janeiro Rio de Janeiro 21941-914 Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind turbine aerodynamics; URANS equations; Reynolds stress turbulence models; Modeling accuracy; NREL phase Ⅵ;

    机译:风力涡轮机空气动力学;urans方程式;Reynolds压力湍流模型;建模精度;nrel阶段ⅵ;

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