DOI QR코드

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Structural analysis of horizontal axis wind turbine blade

  • Tenguria, Nitin (Department of Applied Mechanics, Maulana Azad National Institute of Technology) ;
  • Mittal, N.D. (Department of Applied Mechanics, Maulana Azad National Institute of Technology) ;
  • Ahmed, Siraj (Department of Mechanical Engineering, Maulana Azad National Institute of Technology)
  • 투고 : 2011.08.04
  • 심사 : 2012.03.12
  • 발행 : 2013.03.25

초록

The wind turbine blade is a very important part of the rotor. Extraction of energy from wind depends on the design of blade. In this work, the analysis is done on a blade of length 38.95 m which is designed for V82-1.65 MW horizontal axis wind turbine (supplied by Vestas). The airfoil taken for the blade is NACA 634-221 which is same from root to tip. The analysis of designed blade is done in flap-wise loading. Two shapes of the spar are taken, one of them is of square shape and the other one is combination of square and cross shape. The blade and spar are of the same composite material. The Finite element analysis of designed blade is done in ANSYS. This work is focused on the two segments of blade, root segment and transition segment. Result obtained from ANSYS is compared with the experimental work.

키워드

참고문헌

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피인용 문헌

  1. Numerical and analytical study of aeroelastic characteristics of wind turbine composite blades vol.18, pp.2, 2014, https://doi.org/10.12989/was.2014.18.2.103
  2. A review of the state-of-the-art in aerodynamic performance of horizontal axis wind turbine vol.22, pp.1, 2016, https://doi.org/10.12989/was.2016.22.1.001
  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. Multi-objective structural optimization of a wind turbine blade using NSGA-II algorithm and FSI vol.93, pp.6, 2013, https://doi.org/10.1108/aeat-02-2021-0055