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Optimization of tow-steered composite wind turbine blades for static aeroelastic performance

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  • Barr, Stephen M.
  • Jaworski, Justin W.

Abstract

The concept of passive aeroelastic tailoring is explored to maximize power extraction from an NREL 5-MW wind turbine blade rotating in a uniform flow, where a single blade with periodic boundary conditions simulates a three-bladed wind turbine rotor. Variable-angle tow composite materials model the spanwise-variable wind turbine blade design and enable coupled bend-twist deformations under aerodynamic loading. A constrained optimization algorithm varies only the composite fiber angles along the blade span to determine their optimal distribution at four uniform inflow conditions ranging from cut-in to rated wind speeds. The computational fluid dynamics solver CRUNCH CFD ® and commercial finite element analysis solver Abaqus compute the static aerodynamic loads and structural deformations of the blade, respectively, until aeroelastic convergence is achieved. The resulting computational aeroelastic formulation predicts an increase in turbine power extraction by up to 14% when the blade is optimized near the cut-in wind speed, and by 7% when optimized at the rated wind speed. Using the results from optimizations at discrete wind speeds, two blade design strategies are evaluated to determine a single composite layup for the blade that maximizes power output over the range of operational wind speeds.

Suggested Citation

  • Barr, Stephen M. & Jaworski, Justin W., 2019. "Optimization of tow-steered composite wind turbine blades for static aeroelastic performance," Renewable Energy, Elsevier, vol. 139(C), pages 859-872.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:859-872
    DOI: 10.1016/j.renene.2019.02.125
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    References listed on IDEAS

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    1. Scott, Samuel & Capuzzi, Marco & Langston, David & Bossanyi, Ervin & McCann, Graeme & Weaver, Paul M. & Pirrera, Alberto, 2017. "Effects of aeroelastic tailoring on performance characteristics of wind turbine systems," Renewable Energy, Elsevier, vol. 114(PB), pages 887-903.
    2. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part II: Structural design and power performance," Energy, Elsevier, vol. 73(C), pages 25-32.
    3. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part I: Aeroelastic behaviour," Energy, Elsevier, vol. 73(C), pages 15-24.
    4. Maheri, Alireza & Noroozi, Siamak & Vinney, John, 2007. "Application of combined analytical/FEA coupled aero-structure simulation in design of wind turbine adaptive blades," Renewable Energy, Elsevier, vol. 32(12), pages 2011-2018.
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    Cited by:

    1. Li, Juan & Wang, Yinan & Lin, Shuyue & Zhao, Xiaowei, 2022. "Nonlinear modelling and adaptive control of smart rotor wind turbines," Renewable Energy, Elsevier, vol. 186(C), pages 677-690.
    2. Jorge Mario Tamayo-Avendaño & Ivan David Patiño-Arcila & César Nieto-Londoño & Julián Sierra-Pérez, 2023. "Fluid–Structure Interaction Analysis of a Wind Turbine Blade with Passive Control by Bend–Twist Coupling," Energies, MDPI, vol. 16(18), pages 1-26, September.
    3. Chu, Yung-Jeh & Lam, Heung-Fai, 2020. "Comparative study of the performances of a bio-inspired flexible-bladed wind turbine and a rigid-bladed wind turbine in centimeter-scale," Energy, Elsevier, vol. 213(C).
    4. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    5. Meng, Hang & Jin, Danyang & Li, Li & Liu, Yongqian, 2022. "Analytical and numerical study on centrifugal stiffening effect for large rotating wind turbine blade based on NREL 5 MW and WindPACT 1.5 MW models," Renewable Energy, Elsevier, vol. 183(C), pages 321-329.

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