MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS
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...
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Editorial Office of Journal of Mechanical Strength
2020-01-01
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Series: | Jixie qiangdu |
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Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.020 |
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author | LI YingJue WEI KeXiang ZHOU Zhou |
author_facet | LI YingJue WEI KeXiang ZHOU Zhou |
author_sort | LI YingJue |
collection | DOAJ |
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. |
format | Article |
id | doaj-art-f4e3e95f8c36405fb4e2a56122a69b6c |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2020-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-f4e3e95f8c36405fb4e2a56122a69b6c2025-01-15T02:28:20ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-014239239730607676MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILSLI YingJueWEI KeXiangZHOU ZhouWith 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.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.020Wind powerAirfoil structureAerodynamic NoiseOptimal designMulti-objective particle swarm algorithm |
spellingShingle | LI YingJue WEI KeXiang ZHOU Zhou MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS Jixie qiangdu Wind power Airfoil structure Aerodynamic Noise Optimal design Multi-objective particle swarm algorithm |
title | MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS |
title_full | MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS |
title_fullStr | MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS |
title_full_unstemmed | MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS |
title_short | MULTI-OBJECTIVE OPTIMIZATION DESIGN OF MW WIND TURBINE AIRFOILS |
title_sort | multi objective optimization design of mw wind turbine airfoils |
topic | Wind power Airfoil structure Aerodynamic Noise Optimal design Multi-objective particle swarm algorithm |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.020 |
work_keys_str_mv | AT liyingjue multiobjectiveoptimizationdesignofmwwindturbineairfoils AT weikexiang multiobjectiveoptimizationdesignofmwwindturbineairfoils AT zhouzhou multiobjectiveoptimizationdesignofmwwindturbineairfoils |