Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/11005
Title: Dynamic behavior of wind turbines influenced by aerodynamic damping and earthquake intensity
Authors: Yang, Yang 
Ye, Kehua 
Li, Chun 
Michailides, Constantine 
Zhang, Wanfu 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Aerodynamic damping;Dynamic behavior;Earthquake intensity;Seismic demand;Wind turbines
Issue Date: 1-May-2018
Source: Wind Energy, 2018, vol. 21, no. 5, pp. 303-319
Volume: 21
Issue: 5
Start page: 303
End page: 319
Journal: Wind Energy 
Abstract: In the present paper the effects of aerodynamic damping and earthquake loads on the dynamic response of flexible-based wind turbines are studied. A numerical analysis framework (NAF) is developed and applied. NAF is based on a user-compiled module that is developed for the purposes of the present paper and is fully coupled with an open source tool. The accuracy of the developed NAF is validated through comparisons with predictions that are calculated with the use of different numerical analysis methods and tools. The results indicate that the presence of the aerodynamic loads due to the reduction of the maximum displacement of the tower attributed to the dissipation of earthquake excitation energy in fore-aft direction. Emergency shutdown triggered by strong earthquakes results to a rapid change of aerodynamic damping, resulting to short-term instability of the wind turbine. After shutdown of the wind turbine, enhanced dynamic response is observed. For the case where the wind turbine is parked, the maxima displacement and acceleration of tower-top increase linearly with the peak ground acceleration. With the use of the least-square method a dimensionless slope of tower-top displacements is presented representing the seismic response coefficient of tower that can be used to estimate the tower-top acceleration demand. Moreover, on the basis of the seismic response coefficient, an improved model for the evaluation of load design demand is proposed. This model can provide accurate predictions.
URI: https://hdl.handle.net/20.500.14279/11005
ISSN: 10954244
DOI: 10.1002/we.2163
Rights: © John Wiley & Sons, Ltd.
Type: Article
Affiliation : University of Shanghai for Science and Technology 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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