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Validating kinematic wake models in complex terrain - (PPT)

机译:验证复杂地形中的运动唤醒模型 - (PPT)

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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 low 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.
机译:挪威北部的风电场的测量已被用来试图验证三种运动唤醒模型,这通常是由于它们的计算时间较低。基于商业CFD的Windsim软件辅助,在几个关键方面,在八个单唤醒案件中测试了Jensen-,Larsen和Ishihara模型的准确性。由于网站上的复杂地形,一系列问题复杂了验证程序。 Larsen模型与关于归一化功率缺陷的测量数据相比很好地相关,而Jensen-和Ishihara模型则显然高估功率缺陷。在韦克斯中心线,Larsen模型是最准确的,平均误差为7%。 Jensen-和Ishihara模型分别具有21%和34%的平均绝对误差。 Jensen-和Ishihara模型都与观察到的醒来的宽度很好。 Larsen模型在所有情况下广泛地高估了唤醒宽度,但具有几乎恒定的偏移。为了在唤醒中的能量损失,Larsen模型最适合三个调查的唤醒病例,其平均绝对误差为29%,尽管所有三个唤醒模型都显示出不同的性能,其倾向于低估了能量损失。

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