Predictions of unsteady HAWT aerodynamics in yawing and pitching using the free vortex method
Predictions of unsteady HAWT aerodynamics in yawing and pitching using the free vortex method
复制标题
使用自由涡法预测偏航和俯仰中非定常 HAWT 空气动力学
DOI：
10.1016/j.renene.2014.03.071
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发表时间：
2014-10
期刊：
影响因子：
8.7
通讯作者：
Liang, Jun-Yu
中科院分区：
文献类型：
--
作者：
Wang, Xiao-Dong;Kang, Shun;Zhao, Ming;Liang, Jun-Yu
为预测水平轴风力机在偏航和俯仰工况下的非定常气动载荷，提出了一种非定常数值模拟方法。该方法包括计算叶片气动载荷的非线性升力线方法和模拟尾迹的时间精确自由涡方法。为了改善非线性提升线法的收敛性，提出了一种基于Newton-Raphson方法的迭代算法。为了提高计算效率和计算精度，采用了由涡核模型、涡面模型和叶尖涡模型组成的新的尾涡模型。使用不同直径的风力涡轮机（例如NREL Phase VI、TU德尔夫特模型涡轮机和Tjæreborg风力涡轮机）来验证转子在给定偏航和/或桨距角下以及在不同风速下的偏航和/或桨距过程中运行的方法。计算结果包括叶片载荷、旋翼扭矩和尾流中叶尖涡核的位置，与实测值和计算值吻合较好。研究表明，该方法可用于叶片变桨和/或转子偏航运行过程中的非定常气动载荷和转子尾迹的预测。
To predict the unsteady aerodynamic loads of horizontal-axis wind turbines (HAWTs) during operations under yawing and pitching conditions, an unsteady numerical simulation method is proposed. This method includes a nonlinear lifting line method to compute the aerodynamic loads on the blades and a time-accurate free-vortex method to simulate the wake. To improve the convergence property in the nonlinear lifting line method, an iterative algorithm based on the Newton–Raphson method is developed. To increase the computational efficiency and the accuracy of the calculation, a new wake vortex model consisting of the vortex core model, the vortex sheet model and the tip vortex model is used. Wind turbines with different diameters, such as NREL Phase VI, the TU Delft model turbine and the Tjæreborg wind turbine, are used to validate the method for rotors operating at given yaw and/or pitch angles and during yawing and/or pitching processes at different wind speeds. The results, including the blade loads, the rotor torque and the locations of the tip vortex cores in the wake, agree well with the measured data and the computed data. It is shown that the proposed method can be used for predictions of unsteady aerodynamic loads and rotor wakes in the operational processes of blade pitching and/or rotor yawing.
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影响因子：
8.7
作者：
Guo-liang Yu;X. Shen;Xiaocheng Zhu;Z. Du
通讯作者：
Guo-liang Yu;X. Shen;Xiaocheng Zhu;Z. Du
影响因子：
1.5
作者：
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通讯作者：
Mahendra J. Bhagwat;J. Leishman
DOI：
10.2514/6.2005-590
发表时间：
2005-01
期刊：
--
影响因子：
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作者：
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通讯作者：
W. Haans;T. Sant;G. Kuik;G. Bussel
影响因子：
8.7
作者：
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通讯作者：
T. Sebastian;M. Lackner
影响因子：
4.1
作者：
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通讯作者：
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