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Wind speed prediction accuracy and expected errors of RANS equations in low relief inland terrain for wind resource assessment purposes

机译:用于低陆平​​原地形的RANS方程的风速预测精度和预期误差,用于风资源评估

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摘要

The current trend of increasing number of wind turbine installations has led to the installation of wind farms in areas with lower energy winds and more uniform topography. This study documents the accuracy and competency of RANS (Reynolds-averaged Navier-Stokes) equations in transforming wind speeds from measurement (reference) station to other locations of interest in low relief inland terrain. Furthermore, this study documents a tendency of absolute wind speed prediction error to depend on the speed-up factor between the predictor and predicted station. It is shown that no such error dependence exists in the speed-up factor prediction expected error. This suggests that it is better to report and use expected error of the speed-up factors and not expected absolute wind speed prediction error. Finally, the utility of the Anderson—Darling normality test in the process of quality control of wind data predictions is analyzed.
机译:当前风力涡轮机安装数量增加的趋势已导致在能量风较小且地形更均匀的区域中安装了风电场。这项研究记录了RANS(雷诺平均Navier-Stokes)方程在将风速从测量站(参考站)转换到低起伏内陆地形的其他感兴趣位置时的准确性和能力。此外,这项研究记录了绝对风速预测误差的趋势,该趋势取决于预测器和预测站之间的加速因子。结果表明,在加速因子预测期望误差中不存在这种误差依赖性。这表明最好报告和使用加速因子的预期误差,而不是预期的绝对风速预测误差。最后,分析了Anderson-Darling正态性检验在风数据预测质量控制过程中的效用。

著录项

  • 来源
    《Environmental Modelling & Software》 |2011年第4期|p.429-433|共5页
  • 作者单位

    Department of Earth and Environmental Science, Taylor University, Upland, IN 46989, USA/Graduate School of Civil and Environmental Engineering,Cornell University, Ithaca, NY 14850, USA;

    Genesis Management Services, Inc., Warsaw, IN 46580, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wind resource assessment; wind dynamics; rans;

    机译:风资源评估;风动力学;运行;

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