HIGH-EFFICIENCY AND LOW-LOAD THREE-DIMENSIONAL WIND TURBINE BLADE SHAPE OPTIMIZATION DESIGN METHOD

被引：0
|
作者：
Yao Y. [1 ]
Liu Z. [1 ]
Huang D. [1 ]
机构：
[1] School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 01期
关键词：
airfoil optimization; blade root bending moment; genetic algorithm; wind energy utilization rate; wind turbine blades;
D O I：
10.19912/j.0254-0096.tynxb.2021-0849
中图分类号：
学科分类号：
摘要：
The optimization design of conventional wind turbine blades starts from a two-dimensional airfoil，which always takes the maximum lift-drag ratio as the optimization goal. However，the maximum lift-drag ratio of a two-dimensional airfoil is fundamentally different from the high wind energy utilization rate and low aerodynamic load of the three- dimensional blade. The previous blade optimization methods often improves the utilization rate of wind energy and the aerodynamic load. In response to this problem，based on the multi-island genetic algorithm and the blade momentum element theory，this paper proposes that under a given wind condition，the objective function is to take the most weighted wind energy utilization rate and the least aerodynamic load as the objective function，the airfoil profile and the torsion angle as design variables to design and research the method of optimization with multiple objects on the three-dimensional long blade. The optimized design of an actual NREL Phase VI blade shows that compared with the original blade under a given wind condition，the optimized blade has a 3.1% increase in wind energy utilization and a 11.7% reduction in blade root bending moment. Under variable speed and variable wind conditions，the overall aerodynamic efficiency of the optimized blade is improved，and the blade root bending moment is significantly reduced. © 2023 Science Press. All rights reserved.
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页码：257 / 264
页数：7
相关论文
共 25 条
  • [1] LI Z W，, HE D X., Reviews of fluid dynamics researches in wind energy engineering［J］, Advances in mechanics, 43, 5, pp. 472-525, (2013)
  • [2] WU X., The status quo and technological development trend of wind power generation in China［J］, China strategic emerging industry, 44, (2017)
  • [3] SONG L, Et al., An improved geometric parameter airfoil parameterization method［J］, Aerospace science and technology, 78, pp. 241-247, (2018)
  • [4] WEN H, SANG S, Et al., A new optimization method of wind turbine airfoil performance based on Bessel equation and GABP artificial neural network［J］, Energy, 187, (2019)
  • [5] ZHANG W W，, PENG X H，, Et al., Benchmark aerodynamic shape optimization with the POD-based CST airfoil parametric method［J］, Aerospace science and technology, 84, pp. 632-640, (2019)
  • [6] Aerodynamic performance improvement of wind turbine blade by cavity shape optimization［J］, Renewable energy, 132, pp. 773-785, (2019)
  • [7] YANG K, BAI J Y，, Et al., A new optimization approach to improve the overall performance of thick wind turbine airfoils［J］, Energy, 116, pp. 202-213, (2016)
  • [8] RAFIUDDIN A M., Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code［J］, Renewable energy, 144, pp. 56-67, (2019)
  • [9] TANG X Z, PENG R T，, Et al., Aerodynamic characteristics and robust optimization of small wind turbine airfoil under turbulence condition［J］, Journal of mechanical engineering, 56, 2, pp. 192-200, (2020)
  • [10] ZHANG X, LI W., Effect of asymmetric blunt trailing-edge thickness on aerodynamic performance of wind turbine airfoils［J］, Proceedings of the CSEE, 33, 14, pp. 107-113, (2013)
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