Aerodynamic characteristic analysis of wind turbine blades based on CSA-KJ airfoil optimization design

Author:

Xu Yiqing,Zhang Jianping,Liu Ming,Zhang Pengju,Wang Liquan

Abstract

In order to enable the offshore wind farm to produce electric energy efficiently, stably and economically, the optimization method of CSA-KJ airfoil is proposed, and the optimized CSA-KJ4412 airfoil is obtained, and the aerodynamic characteristics of the airfoil are compared and analyzed. Combined with Wilson method, the high-power CSAKJ4412-08 wind turbine blade is designed, the flow field characteristics of the blade under different working conditions are simulated and analyzed, and its power is verified. The results show that compared with the NACA4412 airfoil, the average lift-drag ratio coefficient and the maximum value of the CSA-KJ4412 airfoil increase. Meanwhile, the pressure distribution rises, and the aerodynamic characteristic is better. The fluid around CSAKJ4412-08 blade at different attack angles is attached to the blade surface tightly for adhesive flow, and no stall phenomenon is identified. The pressure on the suction and pressure surfaces for the optimized CSAKJ4412-08 blade shows an opposite trend as the wingspan in-creases, leading to an increase in the pressure difference between the upper and lower surfaces, thereby improving the lift of the blade. In the range of –30° to 30° attack angle, the power of CSAKJ4412-08 blade increases first and then decreases as the attack angle rises, and the ratio of the maximum power to the rated value reaches 71.38 %, indicating that the optimized CSAKJ4412-08 blade exhibits better aerodynamic characteristics. The relevant results can provide technical reference for the optimal design of wind turbine blades.

Publisher

JVE International Ltd.

Subject

Mechanical Engineering,General Materials Science

Reference35 articles.

1. Y. E. Wang, W. P. Ge, D. S. Miao, and D. Wu, “Study on the influence of tip winglets on the aerodynamic characteristics of wind turbine blades,” Renewable Energy, Vol. 40, No. 5, pp. 639–644, 2022, https://doi.org/10.13941/j.cnki.21-1469/tk.2022.05.014

2. L.-A. Zhang, L.-M. Tao, X.-T. Wei, and X.-M. Huang, “Multi-axis fatigue loading system of wind turbine blade and vibration coupling characteristics,” Journal of Vibroengineering, Vol. 19, No. 1, pp. 1–13, Feb. 2017, https://doi.org/10.21595/jve.2016.16879

3. Y. J. Qin, “Analysis of new energy wind power generation technology and its development trend,” Science and Technology Innovation and Application, Vol. 12, No. 19, pp. 162–165, 2022, https://doi.org/10.19981/j.cn23-1581/g3.2022.19.038

4. R. J. Sun, J. Liang, K. W. Wang, and Y. Q. Wang, “Overview of offshore wind power collection system,” Electric Power Construction, Vol. 46, No. 2, pp. 105–15, 2021, https://doi.org/10.12204/j.issn.1000-7229.2021.06.011

5. X. Zhang, M. J. Zhang, G. G. Wang, W. Li, and J. T. Ruan, “Optimization design of blunt trailing edge airfoil with rough blade surface,” (in Chinese), China Mechanical Engineering, Vol. 30, No. 6, pp. 728–734, 2019.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3