摘要
为量化随机自然风速条件下风力机翼型气动特性不确定程度,以S809风力机翼型为研究对象,基于非嵌入式概率配置点法和Transition SST转捩方程,建立了低雷诺数风力机翼型气动特性随机数值分析模型,获得了自然风速条件下风力机翼型气动力确定性和不确定性成分比例,并揭示了风速大小和方向随机耦合作用对翼型流场结构、压力系数和摩阻分布及湍动能的影响及不确定传播机制.结果表明,随机风速风向对翼型升阻气动因子不确定度影响显著,在计算攻角范围内S809翼型升阻比3σ置信区间相对不确定度最大为±35.13%;随机风速风向耦合作用下翼型升阻比不确定度分别是单随机因素下的4.76倍和1.08倍;翼型对来流不确定性敏感区域为前缘,可以考虑在翼型前缘部分进行气动稳健性优化设计.
To quantify the uncertainty of wind turbine airfoil aerodynamic performance under random fluctuation of natural wind,a stochastic numerical analysis model for the aerodynamic characteristics of wind airfoil based on the Transition SST model combining the non-intrusive probabilistic collocation method was established for the S809 airfoil.The determined and uncertain components of aerodynamic characteristics of S809 airfoil under natural wind conditions were obtained.The effects of wind speed and direction uncertainty on the flow field structure,pressure coefficient,friction distribution,and turbulence kinetic energy were quantitated and the uncertainty propagation mechanism was revealed.The results show that the influence of stochastic wind speed and direction on the uncertainty of airfoil lift drag aerodynamic factor is significant.The maximum relative uncertainty of the 3σconfidence interval of lift drag ratio for S809 airfoil within the range of calculated attack angle is±35.13%.The uncertainty of lift drag ratio under the coupling effect of stochastic wind speed and direction is 4.76 times and 1.08 times that with single stochastic factor,respectively.The uncertainty sensitive region is observed at the leading edge.Aerodynamic stability optimization design is recommended on the leading edge of the airfoil.
作者
唐新姿
袁可人
王效禹
彭锐涛
TANG Xinzi;YUAN Keren;WANG Xiaoyu;PENG Ruitao(School of Mechanical Engineering,Xiangtan University,Xiangtan 411105,China)
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2021年第2期45-52,共8页
Journal of Hunan University:Natural Sciences
基金
湖南省教育厅资助项目(19B539)
国家自然科学基金资助项目(51305377,51575466,51975504)。
关键词
风力机翼型
风速
不确定性
随机数值分析
非嵌入式概率配置点法
wind turbine airfoil
wind speed
uncertainty
stochastic numerical analysis
non-intrusive probabilistic collocation method