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TURBULENCE INTENSITY WITHIN LARGE OFFSHORE WIND FARMS

机译:大型海上风电场内的湍流强度

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The so-called Frandsen model forms the basis for the assessment of wind farm level turbulence intensity (TI) in the IEC standard 61400-1 edition 3. It is used in the choice of turbine suitable for a particular wind farm site. The Frandsen model was developed several years ago using field data when turbines and wind farms were of smaller scale than today. There is now an interest in the accuracy of models such as that of Frandsen when applied to the scale of the largest offshore wind farms. In this paper, we present the results of an analysis of the accuracy of the Frandsen model in predicting TI within the Greater Gabbard offshore wind farm. A comparison is made between measured data and predictions from: 1) the original Frandsen model; 2) a simplified version of the Frandsen model and 3) output from the ANSYS WindModeller CFD model. In general, the Frandsen model was found to perform well in the prediction of mean levels of TI but less well than a simplified model using either a freestream ambient TI or a turbine wake TI regardless of distance. Representative or 90% percentile TI levels are less well predicted under direct wake conditions due to the lack of consideration of turbine generated variance in turbulence and the manner in which the 90% percentile freestream TI is incorporated. ANSYS WindModeller was found to perform well in the prediction of mean TI and has the benefit of not requiring upstream TI data. The CFD model can be used to predict representative TI, when complemented with a model for the variance of turbulence. Predictions from the Frandsen model are more sensitive to the choice of freestream data than those from the CFD model.
机译:所谓的Frandsen模型为IEC标准61400-1 Edition 3中的风电场水平湍流强度(TI)的评估为基础。它用于适用于特定风电场的涡轮机。几年前使用的弗兰德森模型使用现场数据,当涡轮机和风电场比今天较小。现在,在适用于最大的海上风电场的规模时,目前令人兴趣的型号的准确性,例如弗兰德森。在本文中,我们提出了分析弗兰德森模型在更大的Gabbard海上风电场内预测TI的准确性的分析结果。测量数据和预测之间的比较:1)原始弗兰德森模型; 2)Frandsen模型的简化版本和3)来自Ansys Windmodeller CFD模型的输出。通常,发现Frandsen模型在预测Ti的平均水平的预测中表现良好,而是使用FreeSteam环境Ti或涡轮机唤醒Ti的简化模型较少。无论距离如何。由于缺乏对湍流产生的涡轮发出的产生方差以及90%百分位FreeSteam Ti被掺入的方式,因此代表性或90%百分位数在直接唤醒条件下预测得较少。发现ANSYS Windmodeller在预测平均Ti的预测中表现良好,并且具有不需要上游TI数据的益处。当补充有用于湍流方差的模型时,CFD模型可用于预测代表性TI。来自Frandsen模型的预测对FreeStream数据的选择比来自CFD模型的选择更敏感。

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