• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Lin, Jiahuan (Lin, Jiahuan.) [1] | Wang, Yangwei (Wang, Yangwei.) [2] | Duan, Huawei (Duan, Huawei.) [3] | Zhang, Jun (Zhang, Jun.) [4] (Scholars:张俊)

Indexed by:

EI

Abstract:

The scaled wind turbine (SWT) is widely used in the study of the offshore floating wind turbine (OFWT). However, the common SWT inevitably faces the problem of Reynolds number effect (RNE) which makes the rotor thrust lower than the target value. To avoid this problem, a specific blade with better thrust performance should be designed. For this idea, an optimization method for the design of blade of SWT is proposed in this study. Firstly, the lift and drag coefficients of variable airfoils are compared to select a prefer airfoil for the blade design. Secondly, the chords and twists of the selected airfoil along the blade are optimized through pattern search method (PSM). To validate the effectiveness of the method, an optimized blade of the SWT designed with a geometric scaling ratio of 1:50 based on the NREL-5 MW baseline wind turbine, is taken as an example in this study. The aerodynamic performance of the optimized blade is analyzed and compared. Results show that the thrust performance of the optimized blade is consistent with the prototype. The optimization method can be used to design the blade of other SWT with any ratio in the model tests. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Aerodynamics Airfoils Design Offshore oil well production Offshore wind turbines Optimization Reynolds number Turbine components Turbomachine blades

Community:

  • [ 1 ] [Lin, Jiahuan]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wang, Yangwei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Duan, Huawei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Jun]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

ISSN: 2211-0984

Year: 2022

Volume: 111

Page: 189-201

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Online/Total:73/10028820
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1