Classical flutter of wind turbine blades is one of the most destructive instability phenomena of wind turbines especially for several-MW-scale turbines. In the present work, flutter performance of the DTU 10-MW offshore wind turbine is investigated using a 907-degree-of-freedom aero-hydro-servo-elastic wind turbine model. This model involves the couplings between tower, blades and drivetrain vibrations. Furthermore, the three-dimensional aerodynamic effects on wind turbine blade tip have also been considered through the blade element momentum theory with Bak’s stall delay model and Shen’s tip loss correction model. Numerical simulations have been carried out using data calibrated to the referential DTU 10-MW offshore wind turbine. Comparison of the aeroelastic responses between the onshore and offshore wind turbines is made. Effect of structural damping on the flutter speed of this 10-MW offshore wind turbine is investigated. Results show that the damping in the torsional mode has predominant impact on the flutter limits in comparison with that in the bending mode. Furthermore, for shallow water offshore wind turbines, hydrodynamic loads have small effects on its aeroelastic response.
BakCJohansenJAndersenPB (2006) Three-dimensional corrections of airfoil characteristics based on pressure distributions. In: Proceedings of the European wind energy conference and exhibition (EWEC), Athens, Greece, 27 February–2 March.
2.
BakCZahleFBitscheR, et al. (2013) Description of the DTU 10 MW reference wind turbine. DTU Wind Energy report-I-0092. Roskilde: Technical University of Demark.
3.
BirGJonkmanJ (2007) Aeroelastic instabilities of large offshore and onshore wind turbines. Journal of Physics: Conference Series75: 012069.
4.
ChaviaropoulosPSoerensenNHansenM, et al. (2003) Viscous and aeroelastic effects on wind turbine blades. The VISCEL project. Part II: aeroelastic stability investigations. Wind Energy6(4): 387–403.
5.
ChenBHuaXZhangZ, et al. (2017) Monitoring of wind turbine blades for flutter instability. Structural Monitoring and Maintenance4(2): 115–131.
6.
ChenBZhangZHuaX, et al. (2018) Enhancement of flutter stability in wind turbines with a new type of passive damper of torsional rotation of blades. Journal of Wind Engineering and Industrial Aerodynamics173: 171–179.
7.
HafeezMEl-BadawyA (2018) Flutter limit investigation for a horizontal axis wind turbine blade. Journal of Vibration and Acoustics140(4): 041014.
8.
HansenM (2002) Vibrations of a three-bladed wind turbine rotor due to classical flutter. In: ASME 2002 wind energy symposium, Reno, NV, 14–17 January, pp. 256–266. New York: American Society of Mechanical Engineers.
9.
HansenM (2004) Stability analysis of three-bladed turbines using an eigenvalue approach. In: Proceedings of 2004 ASME wind energy symposium, Reno, NV, 12–15 January, pp. 192–202. Reston, VA: American Institute of Aeronautics and Astronautics; New York: American Society of Mechanical Engineers.
HansenMGaunaaMMadsenH (2004) A Beddoes-Leishman type dynamic stall model in state-space and indicial formulation. Technical report, Risø-R-1354(EN). Roskilde: Risø National Laboratory.
HodgesDOrmistonRA (1976) Stability of elastic bending and torsion of uniform cantilever rotor blades in hover with variable structural coupling. Technical report NASA TN D-8192. Moffett Field, CA: NASA’s Ames Research Center.
IEC 61400-3 (2009) Wind Turbines–Part 3: Design Requirements for Offshore Wind Turbines. Geneva: International Electrotechnical Commission.
16.
IsaacsonMSarpkayaT (1981) Mechanics of Wave Forces on Offshore Structures. New York: Van Nostrand Reinhold.
17.
JonkmanJMusialW (2010) Offshore code comparison collaboration (OC3) for IEA wind task 23 offshore wind technology and deployment. Technical report, National Renewable Energy Lab.(NREL), Golden, CO, USA, March.
18.
KallesøeBKraghK (2016) Field validation of the stability limit of a multi MW turbine. Journal of Physics: Conference Series753: 042005.
19.
KeSTWangTGeY, et al. (2015) Aeroelastic responses of ultra large wind turbine tower-blade coupled structures with SSI effect. Advances in Structural Engineering18(12): 2075–2087.
20.
LeishmanJG (2002) Challenges in modelling the unsteady aerodynamics of wind turbines. Wind Energy5(2–3): 85–132.
21.
LobitzD (2005) Parameter sensitivities affecting the flutter speed of a mw-sized blade. Journal of Solar Energy Engineering127(4): 538–543.
22.
LobitzDW (2004) Aeroelastic stability predictions for a MW-sized blade. Wind Energy7(3): 211–224.
23.
OgataK (2010) Modern Control Engineering. 5th ed. Upper Saddle River, NJ: Pearson.
24.
OwensBCGriffithDTResorBR, et al. (2013) Impact of modeling approach on flutter predictions for very large wind turbine blade designs. In: Proceedings of the American helicopter society (AHS) 69th annual forum, 21–23 May 2013, Phoenix, AZ, USA.
25.
PirrungGMadsenHKimT (2014) The influence of trailed vorticity on flutter speed estimations. Journal of Physics: Conference Series524: 012048.
26.
ResorBOwensBGriffithD (2012) Aeroelastic instability of very large wind turbine blades. In: Proceedings of the European wind energy conference annual event, Copenhagen, Denmark, 16–19 April.
27.
SarpkayaT (1986) Force on a circular cylinder in viscous oscillatory flow at low Keulegan–Carpenter numbers. Journal of Fluid Mechanics165: 61–71.
28.
ShenWZMikkelsenRSørensenJN, et al. (2005) Tip loss corrections for wind turbine computations. Wind Energy8(4): 457–475.
29.
VelardeJ (2016) Design of monopile foundations to support the DTU 10 MW offshore wind turbine. Master’s Thesis, Norwegian University of Science and Technology, Trondheim.
30.
YangHShenWXuH, et al. (2014) Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD. Renewable Energy70: 107–115.
31.
ZhangZ (2015) Passive and active vibration control of renewable energy structures. PhD Thesis, Aalborg University, Aalborg.
32.
ZuoHBiKHaoH (2018) Dynamic analyses of operating offshore wind turbines including soil-structure interaction. Engineering Structures157: 42–62.
