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Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms

机译：量化风力涡轮机尾流对海上风电场发电量的影响

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摘要

There is an urgent need to develop and optimize tools for designing large wind farm arrays for deployment offshore. This research is focused on improving the understanding of, and modeling of, wind turbine wakes in order to make more accurate power output predictions for large offshore wind farms. Detailed data ensembles of power losses due to wakes at the large wind farms at Nysted and Horns Rev are presented and analyzed. Differences in turbine spacing (10.5 versus 7 rotor diameters) are not differentiable in wake-related power losses from the two wind farms. This is partly due to the high variability in the data despite careful data screening. A number of ensemble averages are simulated with a range of wind farm and computational fluid dynamics models and compared to observed wake losses. All models were able to capture wake width to some degree, and some models also captured the decrease of power output moving through the wind farm. Root-mean-square errors indicate a generally better model performance for higher wind speeds (10 rather than 6 m s~(-1)) and for direct down the row flow than for oblique angles. Despite this progress, wake modeling of large wind farms is still subject to an unacceptably high degree of uncertainty.
机译：迫切需要开发和优化用于设计大型风电场阵列的工具，以便在海上部署。这项研究的重点是增进对风力涡轮机尾流的理解和建模，以便为大型海上风电场做出更准确的功率输出预测。展示并分析了因斯泰德和霍恩斯牧区大型风电场的尾流引起的功率损耗的详细数据。涡轮间距的差异（10.5对7个转子直径）在两个风电场的与尾流相关的功率损耗中没有区别。这部分是由于尽管进行了仔细的数据筛选，但数据的高度可变性。使用一系列风电场和计算流体动力学模型对许多集合平均值进行了模拟，并与观察到的尾流损失进行了比较。所有模型都能够捕获一定程度的尾流宽度，有些模型还捕获了通过风电场的功率输出的减少。均方根误差表明，与较高的风速（10而不是6 m s〜（-1））相比，对于垂直向下流动的模型，其性能通常要好于倾斜角度。尽管取得了这些进展，但是大型风力发电场的尾流建模仍然面临着无法接受的高度不确定性。

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  • 来源
    《Journal of atmospheric and oceanic technology》 |2010年第8期|P.1302-1317|共16页
  • 作者

    R. J. Barthelmie; rnS. C. Pryor; rnS. T. Frandsen; rnK. S. Hansen; rnJ. G. Schepers; rnK. Rados; rnW. Schlez; rnA. Neubert; rnL. E. Jensen; rnS. Neckelmann;

  • 作者单位

    Atmospheric Science Program, College of Arts and Sciences, Indiana University, Bloomington, Indiana Risoe DTU Laboratory for Sustainable Energy, Roskilde, Denmark Multidisci-plinary Science Building II, 702 North Walnut Grove, Indiana University, Bloomington, IN 47405;

    rnAtmospheric Science Program, College of Arts and Sciences, Indiana University, Bloomington, Indiana Risoe DTU Laboratory for Sustainable Energy, Roskilde, Denmark;

    rnRisoe DTU Laboratory for Sustainable Energy, Roskilde, Denmark;

    rnMechanical Engineering, Danish Technical University, Kongens, Lyngby, Denmark;

    rnEnergy Research Centre of the Netherlands, Petten, Netherlands;

    rnNational Technical University of Athens, Zografou, Athens, Greece;

    rnGarrad Hassan Deutschland GmbH, Oldenburg, Germany;

    rnGarrad Hassan Deutschland GmbH, Oldenburg, Germany;

    rnDONG Energy, Fredericia, Denmark;

    rnVattenfall, Fredericia, Denmark;

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