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Validation of various windmill brake state models used by blade element momentum calculation

机译:叶片元素动量计算所使用的各种风车制动状态模型的验证

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摘要

The concept of windmill brake state model is considered in this paper. Blade Element Momentum (BEM) calculation often calculates the value of thrust coefficient in windmill brake state. Unfortunately, thrust coefficient predicted by momentum theory deviated dramatically from the experimental data when the value of axial induction factor is greater than 0.5. To solve this problem and to increase the accuracy of the prediction, windmill break state model including tip loss effect must be applied to equations of thrust coefficient. The problem of interest is that which windmill break state model is suitable for the wind turbine model being simulated. The purpose of this paper is to compare the rotor power predicted by six different windmill brake state models. The aerodynamic code based on BEM theory has been implemented in Matlab and validated with the simulated result of AWT-27 wind turbine model reported by National Renewable Energy Laboratory (NREL). Six windmill brake state models to be compared are Glauert's characteristic equation, classical brake state model, advanced brake state model, Wilson and Walker model, modified advanced brake state model, and Shen's correction. The predicted power curves obtained from each windmill brake state model are compared to the measured power curve of AWT-27/ P4. It has been shown that Shen's correction gives the highest correlation to the measured data with r-square of 0.970 and the predicted annual energy production (AEP) is different from measured data by only 6.3%.
机译:本文考虑了风车制动状态模型的概念。叶片要素动量(BEM)计算通常会计算出风车制动状态下的推力系数值。不幸的是,当轴向感应系数的值大于0.5时,由动量理论预测的推力系数与实验数据大相径庭。为了解决该问题并提高预测的准确性,必须将包括叶尖损失效应的风车断裂状态模型应用于推力系数方程。感兴趣的问题是哪种风车断裂状态模型适合于要模拟的风力涡轮机模型。本文的目的是比较由六个不同的风车制动状态模型预测的转子功率。基于BEM理论的空气动力学代码已在Matlab中实现,并通过国家可再生能源实验室(NREL)报告的AWT-27风力涡轮机模型的仿真结果进行了验证。六个要比较的风车制动状态模型是Glauert的特征方程,经典制动状态模型,高级制动状态模型,Wilson和Walker模型,改进的高级制动状态模型以及Shen的修正。从每个风车制动状态模型获得的预测功率曲线与AWT-27 / P4的测量功率曲线进行比较。结果表明,沉氏校正与实测数据的相关性最高,r平方为0.970,并且预测的年能源生产(AEP)与实测数据仅相差6.3%。

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