Wind tunnel experimental investigation of wake characteristics and turbulent mixing in tandem-arranged wind turbines

被引:1
作者
Zhang, Lidong [1 ]
Feng, Zhengcong [1 ]
Song, Changpeng [1 ]
Tian, Wenxin [2 ]
Hu, Tianyu [3 ]
Guo, Yuanjun [4 ]
Yang, Zhile [4 ]
Zhao, Xiuyong [2 ]
Feng, Jiangzhe [5 ]
Ren, Huaihui [5 ]
Wang, Qiaozi [5 ]
Zhang, Duanmei [6 ]
机构
[1] Northeast Elect Power Univ, Sch Energy & Power Engn, Jilin 132011, Peoples R China
[2] Natl Environm Protect Res Inst Elect Power Co Ltd, State Environm Protect Key Lab Atmospher Phys Mode, Nanjing 210031, Peoples R China
[3] UNIV MANCHESTER, Sch Engn, MANCHESTER M13 9PL, England
[4] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518172, Peoples R China
[5] Longyuan Beijing New Energy Engn Technol Co Ltd, Beijing 100032, Peoples R China
[6] Changchun Inst Technol, Coll Jilin Emergency Management, Changchun 130021, Peoples R China
关键词
Wind turbine; Wake mixing; Turbulent transport; Coherence; Power spectral density; MODEL; FLOW; OPTIMIZATION;
D O I
10.1016/j.oceaneng.2024.119967
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This study presents a comprehensive wind tunnel investigation into the wake characteristics and turbulent mixing processes in tandem-arranged wind turbines, with a particular focus on the interaction between turbines of different sizes. By employing advanced measurement techniques and detailed flow analysis, the research explores how varying streamwise spacing and rotor configurations influence wake recovery and turbulence transport mechanisms. The findings reveal that smaller downstream turbines significantly alter the wake structure of upstream turbines, enhancing wake recovery through accelerated mixing of large-scale vortices. The research also quantifies the impact of these interactions on velocity distribution, power spectral density, and turbulence integral scales, offering new perspectives on optimizing wind farm layouts for improved energy efficiency. These results contribute to the broader understanding of wake dynamics in wind farms, paving the way for more effective design strategies in renewable energy deployment.
引用
收藏
页数:13
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