MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS

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Bibliographic Details
Title: MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS
Authors: LI YingJue, WEI KeXiang, ZHOU Zhou
Source: Jixie qiangdu, Vol 42, Pp 392-397 (2020)
Publisher Information: Editorial Office of Journal of Mechanical Strength, 2020.
Publication Year: 2020
Collection: LCC:Mechanical engineering and machinery
LCC:Materials of engineering and construction. Mechanics of materials
Subject Terms: Wind power, Airfoil structure, Aerodynamic Noise, Optimal design, Multi-objective particle swarm algorithm, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Description: 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.
Document Type: article
File Description: electronic resource
Language: Chinese
ISSN: 1001-9669
Relation: http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.020; https://doaj.org/toc/1001-9669
DOI: 10.16579/j.issn.1001.9669.2020.02.020
Access URL: https://doaj.org/article/f4e3e95f8c36405fb4e2a56122a69b6c
Accession Number: edsdoj.f4e3e95f8c36405fb4e2a56122a69b6c
Database: Directory of Open Access Journals
Description
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.
ISSN:10019669
DOI:10.16579/j.issn.1001.9669.2020.02.020