唤醒
机械
分离涡模拟
涡轮机
涡流
湍流
动态模态分解
物理
后缘
湍流动能
空气动力学
大涡模拟
失速(流体力学)
尾流紊流
执行机构
风力发电
风洞
垂直轴风力涡轮机
航空航天工程
前沿
工作(物理)
入口
计算流体力学
叶尖速比
旋涡脱落
能量级联
涡轮叶片
卡尔曼漩涡街
作者
Vipral Vijay Bondre,Shivam Singh Tomar,Shubham Sharma,Anupam Dewan
摘要
This work presents an analysis of wake dynamics of vertical-axis wind turbines (VAWTs), employing the actuator line model in conjunction with large eddy simulation. Three turbine configurations—a straight-bladed turbine and two helical-bladed turbines with 90° and 180° twists—are investigated under a tip-speed ratio of 4.5 for the turbulence intensity of 0.5% and 5%. This study focuses on quantifying wake recovery mechanisms, turbulence characteristics, and energy redistribution using velocity fields, transport mechanisms, and modal decomposition. The results show that increasing the helical angle leads to earlier vortex breakdown, shorter near-wake regions, and faster streamwise velocity recovery. Helical turbines induce significant vertical velocity components and exhibit enhanced lateral and vertical turbulent transports, which accelerate wake mixing. Proper orthogonal decomposition analysis reveals that the first mode captures more than 99% of the streamwise energy in all cases, while energy distribution across higher modes increases with helical angle, especially in the vertical component. This redistribution is attributed to reduced dynamic stall intensity in the helical configurations. Furthermore, a shift in the dominant frequency of the temporal modes indicates that vortex shedding becomes less intense and more spread out with increased blade helicity. The findings highlight the aerodynamic advantages of helical VAWTs, particularly in enabling denser turbine arrays.
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