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Validation of kinematic wind turbine wake models in complex terrain using actual windfarm production data

机译:使用实际的风电场生产数据验证复杂地形中的运动型风力涡轮机尾流模型

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摘要

Measurements from a wind farm in northern Norway have been used in an attempt to validate three kinematic wake models, which are often preferred due to their efficiency in terms of calculation time. Assisted by the commercial CFD-based WindSim software, the accuracy of the Jensen-, Larsen- and Ishihara model are tested in eight single-wake cases with regard to several key aspects. Due to the complex terrain at the site, a range of issues complicated the validation procedure. The Larsen model correlated well with the measured data regarding the normalized power deficit, while both the Jensen and Ishihara model clearly overestimated the power deficit. At the wake centerline, the Larsen model was by far the most accurate, with a mean absolute error of 7%. The Jensen- and Ishihara model had a mean absolute error of 21% and 34% respectively. Both the Jensen- and Ishihara model agreed well with the observed wake width. The Larsen model widely overestimated the wake width in all cases, but with an almost constant offset. For the energy loss in the wake, the Larsen model performed best for the three investigated wake cases with a mean absolute error of 29%, although all the three wake models showed a varying performance with a tendency to underestimate the energy loss. (C) 2017 Elsevier Ltd. All rights reserved.
机译:挪威北部一个风电场的测量结果已被用于验证三个运动学尾迹模型,由于它们在计算时间方面的效率,因此经常被首选。在基于CFD的商业化WindSim软件的辅助下,针对八个关键方面,在八个单次唤醒情况下测试了Jensen,Larsen和Ishihara模型的准确性。由于现场地形复杂,一系列问题使验证过程变得复杂。 Larsen模型与有关标准化功率赤字的实测数据具有很好的相关性,而Jensen和Ishihara模型都明显高估了功率赤字。在尾流中心线,拉森模型是迄今为止最准确的模型,平均绝对误差为7%。 Jensen模型和Ishihara模型的平均绝对误差分别为21%和34%。 Jensen模型和Ishihara模型都与观察到的尾流宽度非常吻合。拉森模型在所有情况下都高估了尾流宽度,但偏移几乎恒定。对于尾流中的能量损失,尽管所有三种尾流模型均表现出变化的性能,并有可能低估了能量损失,但Larsen模型在三种调查的尾流情况下表现最佳,平均绝对误差为29%。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2017年第15期|742-753|共12页
  • 作者单位

    Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, Hogskoleveien 12, N-1433 As, Norway;

    Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, Hogskoleveien 12, N-1433 As, Norway|WindSim AS, Fjordgaten 15, N-3125 Tonsberg, Norway;

    Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, Hogskoleveien 12, N-1433 As, Norway;

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

    Kinematic wake models; Complex terrain; Annual energy production; WindSim software;

    机译:运动唤醒模型;复杂地形;年发电量;WindSim软件;

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