摘要
该文对采用局部运动表面的方法在小尖速比下改善风力机获能效率的效果进行三维数值模拟计算。结果表明,在低叶尖速比下,风力机叶片表面采用局部运动表面流动控制后能够有效抑制叶片表面的流动分离,显著提升风力机的获能效率。通过动力学模态分解(DMD)方法分别对原始风力机和叶片表面施加局部运动表面控制的风力机周围流场的速度场进行模态分解,通过分析对比各模态的流场特征,发现叶片施加主动控制后的风力机尾流中脉动场的能量有明显变化:与风力机主频相近的模态能量得到显著降低,单倍主频和双倍主频的模态能量均有所降低且下降幅度达到60%,脉动流场的高能结构得到有效抑制,从而有助于提高风力机气动性能的同时加快其后部尾迹的恢复。
This article conducts three-dimensional numerical simulation calculations on the effectiveness of using the method of local motion surface to improve the energy harvesting efficiency of wind turbines under small tip speed ratios.The results indicate that at low tip speed ratios,the use of local motion surface flow control on the surface of wind turbine blades can effectively suppress flow separation on the blade surface,significantly improving the energy efficiency of the wind turbine.By using the dynamic mode decomposition(DMD)method,the velocity fields around the original wind turbine and the wind turbine with local motion surface control applied to the blade surface were modal decomposed.By analyzing and comparing the flow field characteristics of each mode,it was found that the energy of the pulsating field in the wind turbine wake after active control was applied to the blades showed a significant change:the energy of the modes close to the main frequency of the wind turbine was significantly reduced,the modal energy of both single and double dominant frequencies has been reduced by up to 60%,effectively suppressing the high-energy structure of pulsating flow fields,thereby improving the aerodynamic performance of wind turbines and accelerating the recovery of wake behind them.
作者
孔震雨
张馨艺
孙晓晶
Kong Zhenyu;Zhang Xinyi;Sun Xiaojing(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Key Laboratory of Power Energy in Multiphase Flow and Heat Transfer,Shanghai 200093,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2024年第9期501-510,共10页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(52176194)。
关键词
局部运动表面
垂直轴风力机
流场特性
动力学模态分解
partially moving surface
vertical-axis wind turbine
flow field characteristics
dynamic mode decomposition
