偏航工况下水平轴风力机气动噪声辐射特性研究

宋继烨; 赵振宙; 刘一格; 刘岩; 苏纯浩; 李世君

doi:doi:10.19912/j.0254-0096.tynxb.2024-1131

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

偏航工况下水平轴风力机气动噪声辐射特性研究

更新时间：2025-12-10

- 偏航工况下水平轴风力机气动噪声辐射特性研究
- Issue 11, Pages: 597-603(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1131
  CLC： K83
- Published Online：04 December 2025，
  
  Published：04 December 2025
- 稿件说明：
移动端阅览
宋继烨, 赵振宙, 刘一格, et al. 偏航工况下水平轴风力机气动噪声辐射特性研究[J]. 2025, (11): 597-603.
DOI：

宋继烨, 赵振宙, 刘一格, et al. 偏航工况下水平轴风力机气动噪声辐射特性研究[J]. 2025, (11): 597-603. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1131.

摘要

为探究偏航对风力机气动噪声影响的规律

以NREL 5 MW作为研究对象

通过半经验模型方法计算分析未偏航和以+z为轴逆时针旋转5°、10°、20°下近尾迹区域的声场指向性、声辐射频谱特性、声传播特性、调幅噪声指向性及调幅噪声随叶片方位角位置的变化。研究结果表明：声源指向随偏航旋转

声压水平及频谱特性基本不变

声压峰值集中在中低频段;轴向及径向上的噪声随偏航加速衰减

但轴向上噪声有所提升;调幅噪声与声源指向规律相反

最大值在侧风向上;偏航可使侧风向调幅噪声降低2~6 dB。故可通过调整偏航角度来减少特定风向下的声级与调幅噪声强度。

Abstract

To investigate yaw's influence on aerodynamic noise

the NREL 5MW was studied using a semi-empirical model to analyze sound field directionality

sound radiation spectrum

sound propagation

and amplitude modulation noise in the near wake region under zero yaw and counterclockwise rotations of 5°

10°

and 20°around the + axis. Results show that yaw rotates the sound source direction

with sound pressure level and spectral characteristics largely unchanged. Peak sound pressure level is in the mid-to-low frequency range; axial and radial noise attenuates with yaw

but axial noise increases. Amplitude modulation noise is strongest in the crosswind direction

opposite the sound source

and yaw can reduce cross wind amplitude modulation noise by 2-6 dB. Therefore

the sound level and amplitude modulation noise intensity under specific wind directions can be reduced by adjusting the yaw angle.

关键词

Keywords

references

汪瑞欣, 赵振宙, 王同光, 等. 锯齿尾缘DU91-W2-250风力机翼型气动及噪声特性分析[J]. 太阳能学报, 2020, 41(12): 221-228.

SHEN W Z, YUNAKOV N, CAO J F, et al.Development of a general sound source model for wind farm application[J]. Renewable energy, 2022, 198: 380-388.

CAO J F, ZHU W J, SHEN W Z, et al.Optimizing wind energy conversion efficiency with respect to noise: a study on multi-criteria wind farm layout design[J]. Renewable energy, 2020, 159: 468-485.

MAIZI M, MOHAMED M H, DIZENE R, et al.Noise reduction of a horizontal wind turbine using different blade shapes[J]. Renewable energy, 2018, 117: 242-256.

MOHAMED M H.Reduction of the generated aero-acoustics noise of a vertical axis wind turbine using CFD (computational fluid dynamics) techniques[J]. Energy, 2016, 96: 531-544.

LI Y J, WEI K X, YANG W X, et al.Improving wind turbine blade based on multi-objective particle swarm optimization[J]. Renewable energy, 2020, 161: 525-542.

汪泉, 洪星, 杨建忠, 等. 低噪声风力机叶片气动外形优化设计[J]. 中国机械工程, 2018, 29(13): 1574-1579, 1587.

KOU J Q, BOTERO-BOLÍVAR L, BALLANO R, et al. Aeroacoustic airfoil shape optimization enhanced by autoencoders[J]. Expert systems with applications, 2023, 217: 119513.

张玲, 谷豪飞. 弧形锯齿尾缘对叶片气动噪声影响及机理的研究[J]. 太阳能学报, 2023, 44(1): 171-178.

OERLEMANS S.Reduction of wind turbine noise using blade trailing edge devices[C]//22nd AIAA/CEAS Aeroacoustics Conference. Lyon, France, 2016: 3018.

NARAYANAN S, CHAITANYA P, HAERI S, et al.Airfoil noise reductions through leading edge serrations[J]. Physics of fluids, 2015, 27(2): 025109.

WOLF A, LUTZ T, WÜRZ W, et al. Trailing edge noise reduction of wind turbine blades by active flow control[J]. Wind energy, 2015, 18(5): 909-923.

郝文星, 李春, 陈福东, 等. 翼型附加气动弹片流动控制研究[J]. 太阳能学报, 2020, 41(9): 302-309.

BROOKS T F, POPE D S, MARCOLINI M A.Airfoil self-noise and prediction[R]. 1989.

NGUYEN P D, HANSEN K L, CATCHESIDE P, et al.Long-term quantification and characterisation of wind farm noise amplitude modulation[J]. Measurement, 2021, 182: 109678.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

INFLUENCE OF ASYMMETRIC SAWTOOTH STRUCTURE ON AEROACOUSTIC PERFORMANCE OF BLADE OF WIND TURBINE

风力机翼型动态失速优化及气动特性分析

Related Author

Li Yixiao

Chen Kun

Gao Ruibiao

Feng Wenhui

Xu Ning

张强

常林森

缪维跑

Related Institution

College of Mechanical Engineering, Xinjiang University

Xinjiang Zhongtai Chemical Fukang Energy Co., Ltd., Fukang

College of Civil Engineering, Hefei University of Technology

School of Energy and Power Engineering, Lanzhou University of Technology

Gansu Provincial Technology Centre for Wind Turbines

AI问答

⁰