高海拔风电场叶片性能提升方法研究

张一楠; 刘宏伟; 李国华; 高猛; 孙安康

doi:doi:10.19912/j.0254-0096.tynxb.2024-1580

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

高海拔风电场叶片性能提升方法研究

更新时间：2026-02-06

- 高海拔风电场叶片性能提升方法研究
- 高海拔风电场叶片性能提升方法研究
- 太阳能学报 2026年47卷第1期页码：560-566
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1580
  中图分类号： TK83
- 网络首发：2026-02-05，
  
  纸质出版：2026-02-05
- 稿件说明：
移动端阅览
张一楠, 刘宏伟, 李国华, 等. 高海拔风电场叶片性能提升方法研究[J]. 太阳能学报, 2026,47(1):560-566.

张一楠, 刘宏伟, 李国华, et al. 高海拔风电场叶片性能提升方法研究[J]. 2026, 47(1): 560-566.
张一楠, 刘宏伟, 李国华, 等. 高海拔风电场叶片性能提升方法研究[J]. 太阳能学报, 2026,47(1):560-566. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1580.

张一楠, 刘宏伟, 李国华, et al. 高海拔风电场叶片性能提升方法研究[J]. 2026, 47(1): 560-566. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1580.

摘要

评估低空气密度对风电叶片性能的影响

采用GH-Bladed计算平台比较不同叶片调整方法对风电机组发电量和载荷的影响。研究发现：低空气密度会严重破坏叶片气动性能

导致风电机组达到额定功率的风速更高

此外还会扩大叶片表面的失速范围

导致失速风险增加。在低空气密度条件下

安装涡流发生器是避免叶片发电损失、保证机组载荷稳定性的有效解决方案。在无载荷约束的情况下

增加叶片的弦长或优化扭角分布均是提高叶片气动性能的高效方法。

Abstract

This paper evaluates the impact of low air density on the performance of blades for a high-power wind turbine. The GH-Bladed computing platform was used to compare the blade performance and turbine load in steady wind condition. The study found that low air density severely weakens the aerodynamic performance of the blades

leading to a delay in achieving rated power for wind turbines. Low air density expands the stall range on the blade surface

leading to an increase in stall risk. Under low air density conditions

installing vortex generators is an effective solution to avoid the loss of blade power generation

and ensure the load stability of the wind turbine. Without load constraints

however

increasing the blade chord length or optimizing the twist angle distribution is a highly efficient technique for improving blade aerodynamic performance.

关键词

Keywords

references

张萍, 李成诚, 韩烨, 等. 漂浮式海上风力机三维尾流模型研究[J]. 太阳能学报, 2024, 45(7): 612-617.ZHANG P, LI C C, HAN Y, et al. Research on three-dimensional wake model of floating offshore wind turbine[J]. Acta energiae solaris sinica, 2024, 45(7): 612-617.

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.JIAO J M, BI J X, GE X Y, et al. Remaining useful life prediction of wind turbine blades based on optimized LSTM model[J]. Acta energiae solaris sinica, 2024, 45(6): 495-502.

LÓPEZ-QUEIJA J, ROBLES E, JUGO J, et al. Review of control technologies for floating offshore wind turbines[J]. Renewable and sustainable energy reviews, 2022, 167: 112787.

NIELSON J, BHAGANAGAR K, MEKA R, et al.Using atmospheric inputs for artificial neural networks to improve wind turbine power prediction[J]. Energy, 2020, 190: 116273.

KAYA M N, KOSE F, INGHAM D, et al.Aerodynamic performance of a horizontal axis wind turbine with forward and backward swept blades[J]. Journal of wind engineering and industrial aerodynamics, 2018, 176: 166-173.

杨瑞, 岳雷东, 曾学仁, 等. 极端运行阵风下风电叶片动力学响应特性流固耦合分析[J]. 太阳能学报, 2024, 45(6): 503-509.YANG R, YUE L D, ZENG X R, et al. Fluid structure interaction analysis of dynamic response characteristics of wind power blades under extreme operating gusts[J]. Acta energiae solaris sinica, 2024, 45(6): 503-509.

OTERO A D, PONTA F L.On the sources of cyclic loads in horizontal-axis wind turbines: the role of blade-section misalignment[J]. Renewable energy, 2018, 117: 275-286.

WANG Z D, LU Z Q, YI W W, et al.A study of nonlinear aeroelastic response of a long flexible blade for the horizontal axis wind turbine[J]. Ocean engineering, 2023, 279: 113660.

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.TIAN D, FANG J J, LIU F, et al. Design of model predictive individual pitch controller for large-scale wind turbine[J]. Acta energiae solaris sinica, 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.HAN W L, MAO D J, CAI Y, et al. Research on fault warning of wind power pitch system based on data fusion[J]. Acta energiae solaris sinica, 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.LI X X, LI C L, MAO X E, et al. Optimization method of thick wind turbine airfoils with low sensitivity to surface roughness[J]. Acta energiae solaris sinica, 2022, 43(7): 395-401.

WANG Q, YU M Y, LI D S, et al.Dynamic stall characteristics of wind turbine airfoil in sand-wind environment[J]. Ocean engineering, 2023, 274: 114080.

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.LI Z G, GAO Z Y, ZHANG Y J, et al. Novel dynamic stall prediction model based on Theodorsen theory and its application[J]. Acta energiae solaris sinica, 2022, 43(8): 409-414.

SONG D R, YANG Y G, ZHENG S Y, et al.Capacity factor estimation of variable-speed wind turbines considering the coupled influence of the QN-curve and the air density[J]. Energy, 2019, 183: 1049-1060.

POURRAJABIAN A, MIRZAEI M, EBRAHIMI R, et al.Effect of air density on the performance of a small wind turbine blade: a case study in Iran[J]. Journal of wind engineering and industrial aerodynamics, 2014, 126: 1-10.

WARD A, JORBA J.Harmonic buffeting in a high-altitude ridge-mounted triblade horizontal axis wind turbine[J]. Journal of wind engineering and industrial aerodynamics, 2013, 121: 106-115.

ZARAGOZA J, POU J, ARIAS A, et al.Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system[J]. Renewable energy, 2011, 36(5): 1421-1430.

姚叶宸, 刘兆方, 黄典贵. 高效低载的三维风力机叶片外形优化设计方法[J]. 太阳能学报, 2023, 44(1): 257-264.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

关于最佳风场和风轮尺寸的研究附视频

Darrieus-Savonius组合风轮气动性能的研究附视频

立轴V形风力机气动性能的优化附视频

立轴风轮气动性能曲线的拟合方法

海上风力发电进展