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Aerodynamic Performance Prediction of Straight-Bladed Vertical Axis Wind Turbine Based on CFD

机译:基于CFD的直叶片垂直轴风力机气动性能预测。

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Numerical simulation had become an attractive method to carry out researches on structure design and aerodynamic performance prediction of straight-bladed vertical axis wind turbine, while the prediction accuracy was the major concern of CFD. Based on the present two-dimensional CFD model, a series of systematic investigations were conducted to analyze the effects of computational domain, grid number, near-wall grid, and time step on prediction accuracy. And then efforts were devoted into prediction and analysis of the overall flow field, dynamic performance of blades, and its aerodynamic forces. The calculated results agree well with experimental data, and it demonstrates that RNG k-ε turbulent model is great to predict the tendency of aerodynamic forces but with a high estimate value of turbulence viscosity coefficient. Furthermore, the calculated tangential force is more dependent on near-wall grid and prediction accuracy is poor within the region with serious dynamic stall. In addition, blades experience mild and deep stalls at low tip speed ratio, and thus the leading edge separation vortex and its movement on the airfoil surface have a significant impact on the aerodynamic performance.
机译:数值模拟已成为进行直叶片垂直轴风力发电机结构设计和空气动力性能预测研究的一种有吸引力的方法,而预测精度是CFD的主要关注点。基于当前的二维CFD模型,进行了一系列系统研究,以分析计算域,网格数量,近壁网格和时间步长对预测精度的影响。然后,我们致力于对整体流场,叶片动态性能及其空气动力进行预测和分析。计算结果与实验数据吻合较好,证明了RNGk-ε湍流模型对预测空气动力趋势具有很好的预测能力,但对湍流黏度系数的估算值较高。此外,计算出的切向力更多地取决于近壁网格,在动态失速严重的区域内,预测精度较差。此外,叶片在低叶尖速比下会出现轻度和深度失速,因此前缘分离涡流及其在翼型表面上的运动对空气动力性能具有重大影响。

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