MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS

LI YingJue; WEI KeXiang; ZHOU Zhou

doi:10.16579/j.issn.1001.9669.2020.02.020

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MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS

更新时间：2022-09-22

- MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS
- Journal of Mechanical Strength Vol. 42, Issue 2, Pages: 392-397(2020)
- 作者机构：
  
  1. 湖南工程学院机械工程学院
  2. 风电运维与测试技术湖南省工程实验室
  3. 湘电风能有限公司
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2020.02.020
  CLC：
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LI YingJue, WEI KeXiang, ZHOU Zhou. MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS. [J]. 42(2):392-397(2020)
DOI：

LI YingJue, WEI KeXiang, ZHOU Zhou. MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS. [J]. 42(2):392-397(2020) DOI： 10.16579/j.issn.1001.9669.2020.02.020.

摘要

随着风电发电技术的不断发展,对风力机的各项性能要求越来越高,气动噪声问题已成为风电行业研究的关键方向。以提高叶片的气动性能和降低噪声为设计目标,基于改进的Hicks-Henne型函数优化翼型结构方程,并结合多目标粒子群优化算法,对S8035翼型进行优化设计;利用Xfoil软件对优化后的翼型进行评估计算,并对其气动噪声和流动特性进行模拟仿真。分析结果表明优化后的叶片具有更好的气动特性和更低的噪声特性,验证了该设计方法的可行性。

Abstract

With the development of wind power generation technology,the requirements for various performances of wind turbines are higher. Aerodynamic noise problem has become a key research direction of the wind power industry. Designed to improve the aerodynamic performance of the blade and reduce noise,this paper aims to improve the aerodynamic performance of the blade and reduce the noise,optimize the airfoil structural equation based on the improved Hicks-Henne function,and combine the multi-objective particle swarm optimization algorithm to optimize the design of the S8035 airfoil. Further more,the optimized airfoils are evaluated using XFOIL software and simulations are conducted to investigate their aerodynamic noise and flow characteristics. The results show that the optimized blade has better aerodynamic characteristics and lower noise,which verifies the feasibility of the design method.

关键词

风力发电翼型结构气动噪声优化设计多目标粒子群算法

Keywords

Wind powerAirfoil structureAerodynamic NoiseOptimal designMulti-objective particle swarm algorithm

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