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Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine

Author

Listed:
  • Ozan Gözcü

    (Department of Wind and Energy System, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark)

  • Taeseong Kim

    (Department of Wind and Energy System, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark)

  • David Robert Verelst

    (Department of Wind and Energy System, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark)

  • Michael K. McWilliam

    (Department of Wind and Energy System, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark)

Abstract

Most small–medium-sized turbine studies have focused on presenting new design methods and corresponding performance improvements rather than detailed dynamic investigations. This paper presents comprehensive dynamic investigations of a straight and a swept-back blade for a 100 k W turbine by performing modal analysis, dynamic load analysis, and flutter analysis. The considered load cases include steady wind and operational conditions under normal and extreme turbulence. Modal results show that although both blades have similar natural frequencies, their mode shapes are quite different due to the couplings in flapwise-torsion directions introduced by the back-swept geometry. This coupling alters the aeroelastic response of the blade, which results in different loads in the operational conditions. The load analysis results show that the blade damage equivalent fatigue loads for the swept blade are much lower (up to 29% for the flapwise bending moment and 31% for the edgewise bending moment) than the straight blade. For the ultimate loads, blade root edgewise load for the swept blade is almost 50% lower than the straight blade while the flapwise ultimate load is similar for both blades. Moreover, both blades have no aeroelastic instability near the operational conditions, and the flutter limit for the swept-back blade is lower than the straight blade.

Suggested Citation

  • Ozan Gözcü & Taeseong Kim & David Robert Verelst & Michael K. McWilliam, 2022. "Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine," Energies, MDPI, vol. 15(9), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3005-:d:797834
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    References listed on IDEAS

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    1. Caio Cesar Moreira Chagas & Marcio Giannini Pereira & Luiz Pinguelli Rosa & Neilton Fidelis da Silva & Marcos Aurélio Vasconcelos Freitas & Julian David Hunt, 2020. "From Megawatts to Kilowatts: A Review of Small Wind Turbine Applications, Lessons From The US to Brazil," Sustainability, MDPI, vol. 12(7), pages 1-25, April.
    2. Kim, Taeseong & Hansen, Anders M. & Branner, Kim, 2013. "Development of an anisotropic beam finite element for composite wind turbine blades in multibody system," Renewable Energy, Elsevier, vol. 59(C), pages 172-183.
    3. Ashuri, T. & Zaaijer, M.B. & Martins, J.R.R.A. & van Bussel, G.J.W. & van Kuik, G.A.M., 2014. "Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy," Renewable Energy, Elsevier, vol. 68(C), pages 893-905.
    4. Maki, Kevin & Sbragio, Ricardo & Vlahopoulos, Nickolas, 2012. "System design of a wind turbine using a multi-level optimization approach," Renewable Energy, Elsevier, vol. 43(C), pages 101-110.
    5. Pourrajabian, Abolfazl & Nazmi Afshar, Peyman Amir & Ahmadizadeh, Mehdi & Wood, David, 2016. "Aero-structural design and optimization of a small wind turbine blade," Renewable Energy, Elsevier, vol. 87(P2), pages 837-848.
    6. Karthikeyan, N. & Kalidasa Murugavel, K. & Arun Kumar, S. & Rajakumar, S., 2015. "Review of aerodynamic developments on small horizontal axis wind turbine blade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 801-822.
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    Cited by:

    1. Dongmyoung Kim & Taesu Jeon & Insu Paek & Wirachai Roynarin & Boonyang Plangklang & Bayasgalan Dugarjav, 2023. "A Study on the Improved Power Control Algorithm for a 100 kW Wind Turbine," Energies, MDPI, vol. 16(2), pages 1-15, January.

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