Structural Engineering and Mechanics

  • 제56권6호
  • /
  • Pages.1021-1040
  • /
  • 2015
  • /
  • 1225-4568(pISSN)
  • /
  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Aerodynamic loads and aeroelastic responses of large wind turbine tower-blade coupled structure in yaw condition

  • Ke, S.T. (Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics) ;
  • Wang, T.G. (Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics) ;
  • Ge, Y.J. (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University) ;
  • Tamura, Y. (Center of Wind Engineering Research, Tokyo Polytechnic University)
  • 투고 : 2014.08.17
  • 심사 : 2015.11.24
  • 발행 : 2015.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

An effective method to calculate aerodynamic loads and aeroelastic responses of large wind turbine tower-blade coupled structures in yaw condition is proposed. By a case study on a 5 MW large wind turbine, the finite element model of the wind turbine tower-blade coupled structure is established to obtain the modal information. The harmonic superposition method and modified blade-element momentum theory are used to calculate aerodynamic loads in yaw condition, in which the wind shear, tower shadow, tower-blade modal and aerodynamic interactions, and rotational effects are fully taken into account. The mode superposition method is used to calculate kinetic equation of wind turbine tower-blade coupled structure in time domain. The induced velocity and dynamic loads are updated through iterative loop, and the aeroelastic responses of large wind turbine tower-blade coupled system are then obtained. For completeness, the yaw effect and aeroelastic effect on aerodynamic loads and wind-induced responses are discussed in detail based on the calculating results.

키워드

참고문헌

  1. Agarwal, P. and Manuel, L. (2009), "Simulation of offshore wind turbine response for long-term extreme load prediction", Eng. Struct., 31(10), 2236-2246. https://doi.org/10.1016/j.engstruct.2009.04.002
  2. Barlas, T.K. and Van Kuik, G.A.M. (2009), "Aeroelastic modelling and comparison of advanced active flap control concepts for load reduction on the Upwind 5MW wind turbine", European Wind Energy Conference, Marseille, France.
  3. Bazilevs, Y., Hsu, M.C., Kiendl, J., Wuchner, R. and Bletzinger, K.U. (2011), "3D simulation of wind turbine rotors at full scale. Part II: Fluid-structure interaction modeling with composite blades", Int. J. Numer. Meth. Fluid., 65(1), 236-253. https://doi.org/10.1002/fld.2454
  4. Bazeos, N., Hatzigeorgiou, G.D., Hondros, I.D., Karamaneas, H., Karabalis, D.L. and Beskos, D.E. (2002), "Static, seismic and stability analyses of a prototype wind turbine steel tower", Eng. Struct., 24(8), 1015-1025. https://doi.org/10.1016/S0141-0296(02)00021-4
  5. Burton, T., Sharpe, D. and Jenkins, N. (2001), Wind Energy Handbook, John Wiley&Sons, Chichester.
  6. Corson, D.A., Griffith, D.T., Ashwill, T. and Shakib, F. (2012), "Investigating Aeroelastic performance of multi-megawatt wind turbine rotors using CFD", AIAA Structures, 53 rd Structural Dynamics and Materials Conference, Honolulu.
  7. Dai, J.C., Hu, Y.P., Liu, D.S. and Long, X. (2011), "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model", Renew. Energy, 36(3), 1095-1104. https://doi.org/10.1016/j.renene.2010.08.024
  8. Davenport, A.G. (1995), "How can we simplify and generalize wind loads?", J. Wind Eng. Indust. Aerodyn., 54, 657-669.
  9. Duquette, M.M. and Visser, K.D. (2003), "Numerical implications of solidity and blade number on rotor performance of horizontal-axis wind turbines", J. Sol. Energy Eng., 125(4), 425-432. https://doi.org/10.1115/1.1629751
  10. Hoogedoorn, E., Jacobs, G.B. and Beyene, A. (2010), "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study", Energy, 35(2), 778-785. https://doi.org/10.1016/j.energy.2009.08.030
  11. Hsu, M.H. (2008), "Dynamic behaviour of wind turbine blades. Proceedings of the Institution of Mechanical Engineers, Part C", J. Mech. Eng. Sci., 222(8), 1453-1464. https://doi.org/10.1243/09544062JMES759
  12. International Electrotechnical Commission (2006), Wind Turbine Generator Systems-1: Design Requirements, International Standard, Geneva.
  13. Jeong, M.S., Kim, S.W., Lee, I., Yoo, S.J. and Park, K.C. (2013), "The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade", Renew. Energy, 60, 256-268. https://doi.org/10.1016/j.renene.2013.05.014
  14. Jimenez, A ., Crespo, A. and Migoya, E. (2010), "Application of a LES technique to characterize the wake deflection of a wind turbine in yaw", Wind Energy, 13(6), 559-572. https://doi.org/10.1002/we.380
  15. Kareem, A. (2008), "Numerical simulation of wind effects: a probabilistic perspective", J. Wind Eng. Indust. Aerodyn., 96(10), 1472-1497. https://doi.org/10.1016/j.jweia.2008.02.048
  16. Karimirad, M. and Moan, T. (2011), "Wave-and wind-induced dynamic response of a spar-type offshore wind turbine", J. Waterw. Port Coast. Ocean Eng., 138(1), 9-20. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000087
  17. Ke, S.T., Wang, T.G., Ge, Y.J. and Yukio, T. (2014), "Wind-induced responses and equivalent static wind loads of tower-blade coupled large wind turbine system", Struct. Eng. Mech., 52(3), 485-505. https://doi.org/10.12989/sem.2014.52.3.485
  18. Lanzafame, R. and Messina, M. (2007), "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory", Renew. Energy, 32(14), 2291-2305. https://doi.org/10.1016/j.renene.2006.12.010
  19. Liao, M.F. and Huang, W. (2009), "Fatigue characteristics analysis of wind turbine tower under wind-wave combined effect", Acta Energiae Solaris Sinica, 30(4), 488-492. (in Chinese)
  20. Lloyd, G. (2005), GL-2005 rules and guidelines IV-industrial services, part 2-guideline for the certification of offshore wind turbines, Germanischer Lloyd, Hamburg.
  21. Prowell, I., Veletzos, M., Elgamal, A. and Restrepo, J. (2009), "Experimental and numerical seismic response of a 65 kW wind turbine", J. Earthq. Eng., 13(8), 1172-1190. https://doi.org/10.1080/13632460902898324
  22. Tarp, J., Madsen, P.H. and Frandsen, S. (2002), Partial safety factors in the 3rd edition of IEC 61400 1: wind turbine generator systems-part 1: safety requirements, Riso National Laboratory.
  23. Shinozuka, M. and Seya, H. (1990), "Stochastic methods in wind engineering", J. Wind Eng. Indust. Aerodyn., 36(2), 1472-1497.
  24. Shen, X., Zhu, X. and Du, Z. (2011), "Wind turbine aerodynamics and loads control in wind shear flow", Energy, 36(3), 1424-1434. https://doi.org/10.1016/j.energy.2011.01.028
  25. Vermeer, L.J., Sorensen, J.N. and Crespo, A. (2003), "Wind turbine wake aerodynamics", Prog. Aerosp. Sci., 39(6), 467-510. https://doi.org/10.1016/S0376-0421(03)00078-2
  26. Veers, P.S., Ashwill, T.D., Sutherland, H.J. and et al. (2003), "Trends in the design, manufacture and evaluation of wind turbine rotor", Wind Energy, 6(3), 245-259. https://doi.org/10.1002/we.90
  27. Wang, L., Wang, T.G. and Luo, Y. (2011), "Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades", Appl. Math. Mech., 32, 739-748. https://doi.org/10.1007/s10483-011-1453-x
  28. Wang, T., Wang, L., Zhong, W., Xu, B. and Chen, L. (2012), "Large-scale wind turbine blade design and aerodynamic analysis", Chin. Sci. Bul., 57(5), 466-472. https://doi.org/10.1007/s11434-011-4856-6
  29. Zhang, L., Wu, H. and Jing, F.M. (2010), "Study on offshore floating wind turbine and its development", Ocean Tech., 29(4), 122-126.

피인용 문헌

  1. Analysis of wind turbine blades aeroelastic performance under yaw conditions vol.171, 2017, https://doi.org/10.1016/j.jweia.2017.09.011
  2. Wind-induced fatigue of large HAWT coupled tower-blade structures considering aeroelastic and yaw effects 2018, https://doi.org/10.1002/tal.1467
  3. Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads vol.9, pp.9, 2017, https://doi.org/10.1177/1687814017724088
  4. Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade pp.2041-2983, 2018, https://doi.org/10.1177/0954406218797972
  5. Aerodynamic Performance and Wind-Induced Responses of Large Wind Turbine Systems with Meso-Scale Typhoon Effects vol.12, pp.19, 2015, https://doi.org/10.3390/en12193696
  6. Study on the Aerodynamic Performance of Floating Offshore Wind Turbine Considering the Tower Shadow Effect vol.9, pp.6, 2021, https://doi.org/10.3390/pr9061047