Study on the Dynamic Characteristics of a Wind Turbine Tower Based on Wind Tunnel Experiments

被引:0
作者
Yao, Yong [1 ]
Yu, Chi [1 ]
Rao, Mumin [1 ]
Wang, Zhaowei [2 ,3 ]
Hua, Xugang [2 ,3 ]
Chen, Chao [2 ,3 ]
机构
[1] Guangdong Energy Grp Sci & Technol Res Inst Co Ltd, Guangzhou 510630, Peoples R China
[2] Hunan Univ, State Key Lab Bridge Safety & Resilience, Changsha 410082, Peoples R China
[3] Hunan Univ, Key Lab Wind & Bridge Engn, Changsha 410082, Peoples R China
基金
中国国家自然科学基金;
关键词
wind turbine; wind tunnel test; modal identification; dynamic characteristic; DESIGN; MODEL; PERFORMANCE; LOADS; SIMULATIONS; PREDICTION; TESTS; ROTOR;
D O I
10.3390/en17164080
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study aims to comprehensively investigate the dynamic characteristics of the tower of a scaled wind turbine model through wind tunnel tests. A model was scaled from the NREL 5 MW prototype wind turbine with a geometric scale ratio of 1/75, based on the similarity rules in thrust coefficient and dynamic characteristics. A series of wind tunnel tests were carried out on the scaled wind turbine model under different operating conditions and parked conditions with different yaw angles, and the modal parameters of the scaled model were identified by the stochastic subspace identification method and rotor stop tests. It was found that the vibration response of the tower in the fore-aft direction achieved its maximum value when the yaw angle was 90 degrees with feathered blades, while the tower vibration response in the side-side direction was relatively severe with the yaw angle ranging from 10 degrees to 50 degrees. These observations are found to be well aligned with the aerodynamic characteristics of the airfoil. Moreover, the experimental results indicate that the scaled wind turbine model can reflect the vibration responses of its full-scale counterpart in the fore-aft direction. The natural frequencies and mode shapes of the scaled model can be accurately identified by different methods, but the identified damping ratios are relatively scattered.
引用
收藏
页数:20
相关论文
共 50 条
[1]   On the evaluation of wind loads for wind turbines' foundation design: Experimental and numerical investigations [J].
Abdelkader, A. ;
Aly, A. M. ;
Rezaee, M. ;
Bitsuamlak, G. T. ;
El Naggar, M. H. .
STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, 2017, 26 (09)
[2]  
[Anonymous], 2020, OpenFAST Documentation Release v2.3.0
[3]   Evaluation of damping estimates by automated Operational Modal Analysis for offshore wind turbine tower vibrations [J].
Bajric, Anela ;
Hogsberg, Jan ;
Rudinger, Finn .
RENEWABLE ENERGY, 2018, 116 :153-163
[4]   Dynamic analysis of an offshore wind turbine under random wind and wave excitation with soil-structure interaction and blade tower coupling [J].
Banerjee, Arundhuti ;
Chakraborty, Tanusree ;
Matsagar, Vasant ;
Achmus, Martin .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2019, 125
[5]   Aerodynamic design methodology for wind tunnel tests of wind turbine rotors [J].
Bayati, Ilmas ;
Belloli, Marco ;
Bernini, Luca ;
Zasso, Alberto .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2017, 167 :217-227
[6]   A review of operational modal analysis techniques for in-service modal identification [J].
Bin Zahid, Fahad ;
Ong, Zhi Chao ;
Khoo, Shin Yee .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2020, 42 (08)
[7]   Wind tunnel testing of scaled wind turbine models: Beyond aerodynamics [J].
Bottasso, Carlo L. ;
Campagnolo, Filippo ;
Petrovic, Vlaho .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2014, 127 :11-28
[8]  
Brincker RVentura C., 2015, INTRO OPERATIONAL MO
[9]   Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: Simulated data [J].
Caicedo, JM ;
Dyke, SJ ;
Johnson, EA .
JOURNAL OF ENGINEERING MECHANICS, 2004, 130 (01) :49-60
[10]   Numerically efficient fatigue life prediction of offshore wind turbines using aerodynamic decoupling [J].
Chen, Chao ;
Duffour, Philippe ;
Fromme, Paul ;
Hua, Xugang .
RENEWABLE ENERGY, 2021, 178 :1421-1434