DocumentCode :
2046726
Title :
Study on load and aerodynamic characteristics for rotating wind turbine rotor
Author :
Xudong Wang ; Licun Wang ; Hongjun Xia
Author_Institution :
Key Lab. of Manuf. Equip. Mechanism Design & Control of Chongqing, ChongQing Technol. & Bus. Univ., Chongqing, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1870
Lastpage :
1874
Abstract :
Based on the Blade Element Momentum theory, the model of load and aerodynamic characteristics for wind turbine blades is carried out that the blade tip loss is fully considered. Applying the structural dynamic equations of blades, the aeroelastic model of the rotating rotor and the numerical simulation method of the deflections are presented under the aerodynamic loads and centrifugal forces. Coupling the aerodynamic characteristics and the structure stress, the flapwise and edgewise loads, deflections and accelerations of the rotating blades are calculated and plotted. Finally, one 5MW wind turbine rotor is chosen that the aerodynamic loads and output power are simulated. The bending displacement and vibration response are investigated and compared between different wind speed and working time to prove the accuracy and reliability of the model presented in this paper. The results have important theoretical significance for the fatigue life prediction and vibration noise estimate of wind turbine blades.
Keywords :
aerodynamics; blades; rotors (mechanical); wind turbines; aerodynamic characteristics; aerodynamic loads; aeroelastic model; bending displacement; blade element momentum theory; blade tip; centrifugal forces; edgewise loads; fatigue life prediction; flapwise loads; numerical simulation method; rotating wind turbine rotor; structural dynamic equations; structure stress; vibration noise; vibration response; wind turbine blades; Aerodynamics; Blades; Force; Rotors; Vibrations; Wind speed; Wind turbines; acceleration response; aerodynamic loads; deflections; rotating rotor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237771
Filename :
7237771
Link To Document :
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