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Wind Turbine Wake Mathematical Models Validation by Means of Wind Field Data

机译:风力涡轮机唤醒数学模型通过风现场数据验证

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The present paper deals with a study of wind turbine performance taking into account wind turbine interaction in wind farms. In more details, a wake mathematical model, based on Jensen/Katic theory, was implemented and used to evaluate velocity deficit at the downstream turbine. In order to test and verify wake mathematical model implementation, wind farm real data were used. Turbines in pairs data were extracted from wind farm monitoring system and were elaborated to collect wind characteristics (wind intensity and direction), as well as turbines' powers and wind intensity at the turbines' nacelles. On the basis of the presented results, the implemented mathematical model is able to correctly estimate velocity deficit while errors on downstream power were lower than 10% in all cases. Therefore, the model is validated.
机译:本文涉及风力涡轮机性能研究,考虑到风电场的风力涡轮机相互作用。 更详细地,实施了基于Jensen / Katic理论的尾迹数学模型,并用于评估下游涡轮机的速度缺陷。 为了测试和验证唤醒数学模型实现,使用风电场真实数据。 从风电场监测系统中提取成对数据中的涡轮机,并详细阐述了在涡轮机的烟机的风力特征(风强和方向),以及涡轮机的功率和风力强度。 在呈现的结果的基础上,实施的数学模型能够正确地估计速度赤字,而在所有情况下,下游电力的错误低于10%。 因此,模型被验证。

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