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Effects of rotor deformation in wind-turbine performance: The Dynamic Rotor Deformation Blade Element Momentum model (DRD–BEM)

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  • Ponta, Fernando L.
  • Otero, Alejandro D.
  • Lago, Lucas I.
  • Rajan, Anurag

Abstract

Understanding the multi-physics phenomena associated with blade dynamics constitutes a fundamental factor for the continuous development of wind-turbine technology and the optimization of the efficiency of wind farms. Large size differences between wind-tunnel models and full scale prototypes preclude the proper extrapolation of experimental data, especially when several coupled physical phenomena are acting simultaneously; thus the need of an advanced Virtual Test Environment where innovative designs could be tested at reasonable computational cost.

Suggested Citation

  • Ponta, Fernando L. & Otero, Alejandro D. & Lago, Lucas I. & Rajan, Anurag, 2016. "Effects of rotor deformation in wind-turbine performance: The Dynamic Rotor Deformation Blade Element Momentum model (DRD–BEM)," Renewable Energy, Elsevier, vol. 92(C), pages 157-170.
    • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:157-170
    DOI: 10.1016/j.renene.2016.01.098
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    References listed on IDEAS

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    1. Ponta, Fernando L. & Jacovkis, Pablo M., 2001. "A vortex model for Darrieus turbine using finite element techniques," Renewable Energy, Elsevier, vol. 24(1), pages 1-18.
    2. 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.
    3. Dai, J.C. & Hu, Y.P. & Liu, D.S. & Long, X., 2011. "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model," Renewable Energy, Elsevier, vol. 36(3), pages 1095-1104.
    4. Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
    5. Lanzafame, R. & Messina, M., 2012. "BEM theory: How to take into account the radial flow inside of a 1-D numerical code," Renewable Energy, Elsevier, vol. 39(1), pages 440-446.
    6. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    7. Lanzafame, R. & Messina, M., 2007. "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renewable Energy, Elsevier, vol. 32(14), pages 2291-2305.
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    Cited by:

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    2. Marzec, Łukasz & Buliński, Zbigniew & Krysiński, Tomasz & Tumidajski, Jakub, 2023. "Structural optimisation of H-Rotor wind turbine blade based on one-way Fluid Structure Interaction approach," Renewable Energy, Elsevier, vol. 216(C).
    3. Liu, Zhenqing & Wang, Yize & Nyangi, Patrice & Zhu, Zhiwen & Hua, Xugang, 2021. "Proposal of a novel GPU-accelerated lifetime optimization method for onshore wind turbine dampers under real wind distribution," Renewable Energy, Elsevier, vol. 168(C), pages 516-543.
    4. Cognet, V. & Courrech du Pont, S. & Thiria, B., 2020. "Material optimization of flexible blades for wind turbines," Renewable Energy, Elsevier, vol. 160(C), pages 1373-1384.
    5. Anurag Rajan & Fernando L. Ponta, 2019. "A Novel Correlation Model for Horizontal Axis Wind Turbines Operating at High-Interference Flow Regimes," Energies, MDPI, vol. 12(6), pages 1-20, March.
    6. Menon, Muraleekrishnan & Ponta, Fernando L., 2017. "Dynamic aeroelastic behavior of wind turbine rotors in rapid pitch-control actions," Renewable Energy, Elsevier, vol. 107(C), pages 327-339.

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