风电叶片载荷稳定性优化设计方法研究

游慧鹏; 李国华; 张一楠; 高猛; 孙安康; 郑冰

doi:10.19912/j.0254-0096.tynxb.2025-0097

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

风电叶片载荷稳定性优化设计方法研究

更新时间：2026-07-22

- 风电叶片载荷稳定性优化设计方法研究
- Vol. 47, Issue 6, Pages: 327-333(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0097
  CLC： TK83
- Online First：08 July 2026，
  
  Published：2026
- 稿件说明：
移动端阅览
游慧鹏, 李国华, 张一楠, et al. 风电叶片载荷稳定性优化设计方法研究[J]. 2026, 47(6): 327-333.
DOI：

游慧鹏, 李国华, 张一楠, et al. 风电叶片载荷稳定性优化设计方法研究[J]. 2026, 47(6): 327-333. DOI： 10.19912/j.0254-0096.tynxb.2025-0097.

摘要

通过优化叶片的气动外形和结构设计提供一种降载方法。采用GH-Bladed计算平台验证6.25 MW风电叶片性能和机组载荷。研究发现

减小叶片迎风面积可有效降低叶片的载荷水平;减小叶片弦长对降低叶片根部载荷的影响最为显著

而减小叶片相对厚度对降低载荷的效果并不显著

减小叶片相对厚度是一种提高气动性能降低载荷的有效手段。此外

主梁厚度可改变叶片刚度进而影响叶片挥舞方向的变形

通过调整叶片主梁的厚度来释放集中应力进而扩大叶片挥舞变形可实现叶片的降载。

Abstract

A load reduction method was provided by optimizing the aerodynamic configuration and structural design of the blades in this paper. The GH-Bladed computing platform was used to verify the blade performance and turbine load based on 6.25 MW wind turbine. The study finds that reducing the blade chord length has the most significant effect on reducing the blade root load

while the effect of reducing thickness on load reduction is not prominent. However

reducing blade thickness is a convenient method to improve aerodynamic performance while also weakening load. In addition

the laying thickness of the spar cap structure can change the blade flapwise stiffness to affect flapwise deformation. Expanding the blade flapwise deformation by adjusting the thickness of the blade spar cap to release concentrated stress is a novel method to promote the reduction of blade load generation.

关键词

Keywords

references

焦佳明, 毕俊喜, 葛新宇, 等. 基于优化LSTM模型的风力机叶片剩余使用寿命预测[J]. 太阳能学报, 2024, 45(6): 495-502.

HOKSBERGEN T H, AKKERMAN R, BARAN I.Liquid droplet impact pressure on (elastic) solids for prediction of rain erosion loads on wind turbine blades[J]. Journal of wind engineering and industrial aerodynamics, 2023, 233: 105319.

LI M Y, DIRIK Y, OTERKUS E, et al.Shape sensing of NREL 5 MW offshore wind turbine blade using iFEM methodology[J]. Ocean engineering, 2023, 273: 114036.

KURNIAWATI I, LUPI F, SEIDEL M, et al.Vortex shedding load on a full-scale wind turbine tower at transcritical Reynolds numbers[J]. Journal of wind engineering and industrial aerodynamics, 2024, 252: 105821.

FITZGERALD B, MCAULIFFE J, BAISTHAKUR S, et al.Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs)[J]. Renewable energy, 2023, 211: 522-538.

HOGHOOGHI H, CHOKANI N, ABHARI R S.A novel optimised nacelle to alleviate wind turbine unsteady loads[J]. Journal of wind engineering and industrial aerodynamics, 2021, 219: 104817.

WANG B X, WANG L Z, LIANG X, et al.3D multiscale dynamic analysis of offshore wind turbine blade under fully coupled loads[J]. Renewable energy, 2024, 223: 119985.

STANISLAWSKI B J, THEDIN R, SHARMA A, et al.Effect of the integral length scales of turbulent inflows on wind turbine loads[J]. Renewable energy, 2023, 217: 119218.

HORCAS S G, MADSEN M H A, SØRENSEN N N, et al. Influence of the installation of a trailing edge flap on the vortex induced vibrations of a wind turbine blade[J]. Journal of wind engineering and industrial aerodynamics, 2022, 229: 105118.

VESEL R W, MCNAMARA J J.Performance enhancement and load reduction of a 5 MW wind turbine blade[J]. Renewable energy, 2014, 66: 391-401.

REZAEIHA A, KALKMAN I, BLOCKEN B.Effect of pitch angle on power performance and aerodynamics of a vertical axis wind turbine[J]. Applied energy, 2017, 197: 132-150.

YAN C, ARCHER C L.Assessing compressibility effects on the performance of large horizontal-axis wind turbines[J]. Applied energy, 2018, 212: 33-45.

GAO R Z, YANG J W, YANG H, et al.Wind-tunnel experimental study on aeroelastic response of flexible wind turbine blades under different wind conditions[J]. Renewable energy, 2023, 219: 119539.

TORREGROSA A J, GIL A, QUINTERO P, et al.On the effects of orthotropic materials in flutter protection of wind turbine flexible blades[J]. Journal of wind engineering and industrial aerodynamics, 2022, 227: 105055.

王威, 王军, 梁钟, 等. 基于熵产理论设计方法的多目标翼型优化[J]. 空气动力学学报, 2019, 37(5): 827-833.

WEN H, SANG S, QIU C H, et al.A new optimization method of wind turbine airfoil performance based on Bessel equation and GABP artificial neural network[J]. Energy, 2019, 187: 116106.

陈刚, 陈进, 孙振业, 等. 基于静气弹性能的风力机翼型设计[J]. 太阳能学报, 2020, 41(6): 8-15.

姜海波, 曹树良, 李艳茹. 水平轴风力机叶片扭角和弦长的理想分布[J]. 太阳能学报, 2013, 34(1): 1-6.

刘雄, 陈严, 叶枝全. 水平轴风力机风轮叶片优化设计模型研究[J]. 汕头大学学报(自然科学版), 2006, 21(1): 44-49.

陈进, 王旭东, 沈文忠, 等. 风力机叶片的形状优化设计[J]. 机械工程学报, 2010, 46(3): 131-134.

吴江海, 王同光, 赵新华. 风力机叶片优化设计目标[J]. 南京航空航天大学学报, 2011, 43(5): 661-666.

王珑, 王同光, 吴江海, 等. 基于改进NSGA-Ⅱ算法的风力机叶片多目标优化设计[J]. 南京航空航天大学学报, 2011, 43(5): 672-676.

TIRANDAZ M R, REZAEIHA A.Effect of airfoil shape on power performance of vertical axis wind turbines in dynamic stall: symmetric airfoils[J]. Renewable energy, 2021, 173(C): 422-441.

VAN TRUONG K.Blade aerodynamic model for thick airfoils of the series NACA00xx in pre-stall conditions[J]. Journal of renewable and sustainable energy, 2024, 16(2): 023312.

田德, 方建驹, 刘枫, 等. 大型风电机组模型预测独立变桨控制器设计[J]. 太阳能学报, 2022, 43(4): 461-467.

韩万里, 茅大钧, 蔡晔, 等. 基于数据融合的风电变桨系统故障预警研究[J]. 太阳能学报, 2022, 43(12): 236-241.

李星星, 李成良, 毛晓娥, 等. 风电叶片低粗糙敏感性厚翼型优化方法研究[J]. 太阳能学报, 2022, 43(7): 395-401.

李治国, 高志鹰, 张雅静, 等. 基于Theodorsen理论的新型动态失速预测模型及其应用[J]. 太阳能学报, 2022, 43(8): 409-414.

MENG H, WU J X, CAO G C, et al.Study on the nonlinear structural coupling for wind turbine blade under large deflections by using novel finite difference method[J]. Renewable energy, 2024, 223: 120095.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

小型直线翼垂直轴风电叶片防除冰仿真研究

基于多尺度失效分析的含孔隙风电叶片主梁力学性能影响研究

基于模型实验的叶片覆冰对风力机气动性能影响研究

改性海泡石基复合蓄热材料的制备与性能

构网型双馈风电机组稳定性分析

Related Author

田旭

韩清鹏

朱瑞

袁斌霞

杨同光

汪博

魏鑫

陈雅文

Related Institution

Guangdong Provincial Key Laboratory of Fuel Cell Technology

School of Materials and Energy, Guangdong University of Technology

NMG Composites Co., Ltd.

China General Certification Center

School of Materials Science and Engineering, Wuhan Textile University

AI问答

⁰