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Application of combined analytical/FEA coupled aero-structure simulation in design of wind turbine adaptive blades

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  • Maheri, Alireza
  • Noroozi, Siamak
  • Vinney, John

Abstract

This paper demonstrates the application of combined analytical/FEA coupled aero-structure simulation in design of bend-twist adaptive blades. A genetic algorithm based design tool, in which the power curve is predicted through a combined coupled aero-structure simulation, has been developed. A bend-twist adaptive blade has been designed to be used on the rotor of a constant speed stall regulated wind turbine. The bend-twist adaptive blade is assumed to be made out of anisotropic composite materials. The designed blade has the same aerofoil and chord distribution as the original blade used on the wind turbine, but with a different pre-twist distribution. The simulated results show a significant improvement in the average power of the studied stall regulated wind turbine when employing the designed adaptive blades.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:32:y:2007:i:12:p:2011-2018
    DOI: 10.1016/j.renene.2006.10.012
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    References listed on IDEAS

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    1. Maheri, Alireza & Noroozi, Siamak & Toomer, Chris A. & Vinney, John, 2006. "WTAB, a computer program for predicting the performance of horizontal axis wind turbines with adaptive blades," Renewable Energy, Elsevier, vol. 31(11), pages 1673-1685.
    2. Maheri, Alireza & Noroozi, Siamak & Vinney, John, 2007. "Combined analytical/FEA-based coupled aero structure simulation of a wind turbine with bend–twist adaptive blades," Renewable Energy, Elsevier, vol. 32(6), pages 916-930.
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    Cited by:

    1. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2009. "Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery," Renewable Energy, Elsevier, vol. 34(3), pages 683-691.
    2. Choudhury, Santanu & Sharma, Tushar & Shukla, K.K., 2017. "Effect of orthotropy ratio of the shear web on the aero-elasticity and torque generation of a hybrid wind turbine blade," Renewable Energy, Elsevier, vol. 113(C), pages 1378-1387.
    3. Murray, Robynne E. & Ordonez-Sanchez, Stephanie & Porter, Kate E. & Doman, Darrel A. & Pegg, Michael J. & Johnstone, Cameron M., 2018. "Towing tank testing of passively adaptive composite tidal turbine blades and comparison to design tool," Renewable Energy, Elsevier, vol. 116(PA), pages 202-214.
    4. 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.
    5. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
    6. 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.
    7. Zaid O. Alrayes & Mohamed Gadalla, 2021. "Development of a Flexible Framework Multi-Design Optimization Scheme for a Hand Launched Fuel Cell-Powered UAV," Energies, MDPI, vol. 14(10), pages 1-27, May.
    8. 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.
    9. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.

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