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Effects of aeroelastic tailoring on performance characteristics of wind turbine systems

Author

Listed:
  • Scott, Samuel
  • Capuzzi, Marco
  • Langston, David
  • Bossanyi, Ervin
  • McCann, Graeme
  • Weaver, Paul M.
  • Pirrera, Alberto

Abstract

Some interesting challenges arise from the drive to build larger, more durable wind turbine rotors. The rationale is that, with current designs, the power generated is theoretically proportional to the square of the blade length, however, theoretical mass increases cubically. Aeroelastic tailoring aims to improve the ratio between increased power capture and mass by offering enhanced combined energy capture and system durability. As such, the design and full system analysis of two adaptive, aeroelastically tailored wind turbine blades is considered herein. One makes use of material bend-twist coupling, whilst the other combines both material and geometric bend-twist coupling. Each structural design meets a predefined coupling distribution, that approximately matches the stiffness of a baseline blade.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pb:p:887-903
    DOI: 10.1016/j.renene.2017.06.048
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    References listed on IDEAS

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    1. Vesel, Richard W. & McNamara, Jack J., 2014. "Performance enhancement and load reduction of a 5 MW wind turbine blade," Renewable Energy, Elsevier, vol. 66(C), pages 391-401.
    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. Larwood, Scott & van Dam, C.P. & Schow, Daniel, 2014. "Design studies of swept wind turbine blades," Renewable Energy, Elsevier, vol. 71(C), pages 563-571.
    5. Lago, Lucas I. & Ponta, Fernando L. & Otero, Alejandro D., 2013. "Analysis of alternative adaptive geometrical configurations for the NREL-5 MW wind turbine blade," Renewable Energy, Elsevier, vol. 59(C), pages 13-22.
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    Cited by:

    1. 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.
    2. Michael K. McWilliam & Antariksh C. Dicholkar & Frederik Zahle & Taeseong Kim, 2022. "Post-Optimum Sensitivity Analysis with Automatically Tuned Numerical Gradients Applied to Swept Wind Turbine Blades," Energies, MDPI, vol. 15(9), pages 1-19, April.
    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. Dimitris Drikakis & Talib Dbouk, 2022. "The Role of Computational Science in Wind and Solar Energy: A Critical Review," Energies, MDPI, vol. 15(24), pages 1-20, December.
    5. 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.
    6. 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.

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