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Computational assessment of the DeepWind aerodynamic performance with different blade and airfoil configurations

Author

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  • Bedon, Gabriele
  • Schmidt Paulsen, Uwe
  • Aagaard Madsen, Helge
  • Belloni, Federico
  • Raciti Castelli, Marco
  • Benini, Ernesto

Abstract

An aerodynamic improvement of the DeepWind rotor is conducted adopting different rotor geometries and solutions with respect to the original configuration while keeping the comparison as fair as possible. The objective of this work is to find the most suitable configuration in order to maximize the power production and minimize the blade stress and the cost of energy. Different parameters are considered for the study. The DeepWind blade is characterized by a shape similar to the Troposkien geometry but asymmetric between the top and bottom parts. The blade shape is considered as a fixed parameter in the optimization process and, because of different blade element radii, it will experience different tip speed ratios in the same operational condition. This leads to a complex optimization problem, which must be carefully analyzed in order to find the most suitable parameter set. The number of blades in the analysis is varied from 1 to 4. In order to keep the comparison fair among the different configurations, the solidity is kept constant and, therefore, the chord length reduced. A second comparison is conducted by considering different blade profiles belonging to the symmetric NACA airfoil family. Finally, a chord optimization along the blade span is conducted, in order to find the optimal chord distribution to maximize the power production.

Suggested Citation

  • Bedon, Gabriele & Schmidt Paulsen, Uwe & Aagaard Madsen, Helge & Belloni, Federico & Raciti Castelli, Marco & Benini, Ernesto, 2017. "Computational assessment of the DeepWind aerodynamic performance with different blade and airfoil configurations," Applied Energy, Elsevier, vol. 185(P2), pages 1100-1108.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1100-1108
    DOI: 10.1016/j.apenergy.2015.10.038
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    References listed on IDEAS

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    1. Bedon, Gabriele & Raciti Castelli, Marco & Benini, Ernesto, 2014. "Proposal for an innovative chord distribution in the Troposkien vertical axis wind turbine concept," Energy, Elsevier, vol. 66(C), pages 689-698.
    2. Bedon, Gabriele & Raciti Castelli, Marco & Benini, Ernesto, 2013. "Optimization of a Darrieus vertical-axis wind turbine using blade element – momentum theory and evolutionary algorithm," Renewable Energy, Elsevier, vol. 59(C), pages 184-192.
    3. Andrew Shires, 2013. "Development and Evaluation of an Aerodynamic Model for a Novel Vertical Axis Wind Turbine Concept," Energies, MDPI, vol. 6(5), pages 1-20, May.
    4. Bedon, Gabriele & Antonini, Enrico G.A. & De Betta, Stefano & Raciti Castelli, Marco & Benini, Ernesto, 2014. "Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 386-399.
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    Cited by:

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    3. Zygmunt Szczerba & Piotr Szczerba & Kamil Szczerba & Marek Szumski & Krzysztof Pytel, 2023. "Wind Tunnel Experimental Study on the Efficiency of Vertical-Axis Wind Turbines via Analysis of Blade Pitch Angle Influence," Energies, MDPI, vol. 16(13), pages 1-21, June.
    4. Chen, Jian & Pan, Xiong & Wang, Canxing & Hu, Guojun & Xu, Hongtao & Liu, Pengwei, 2019. "Airfoil parameterization evaluation based on a modified PARASEC method for a H-Darrious rotor," Energy, Elsevier, vol. 187(C).
    5. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "Effect of pitch angle on power performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 197(C), pages 132-150.
    6. Hesami, Ali & Nikseresht, Amir H., 2023. "Towards development and optimization of the Savonius wind turbine incorporated with a wind-lens," Energy, Elsevier, vol. 274(C).
    7. Krzysztof Rogowski & Martin Otto Laver Hansen & Galih Bangga, 2020. "Performance Analysis of a H-Darrieus Wind Turbine for a Series of 4-Digit NACA Airfoils," Energies, MDPI, vol. 13(12), pages 1-28, June.
    8. Peng, Yi-Xin & Xu, You-Lin & Zhan, Sheng, 2019. "A hybrid DMST model for pitch optimization and performance assessment of high-solidity straight-bladed vertical axis wind turbines," Applied Energy, Elsevier, vol. 250(C), pages 215-228.
    9. Tirandaz, M. Rasoul & Rezaeiha, Abdolrahim, 2021. "Effect of airfoil shape on power performance of vertical axis wind turbines in dynamic stall: Symmetric Airfoils," Renewable Energy, Elsevier, vol. 173(C), pages 422-441.
    10. Su, Jie & Li, Yu & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhao, Yongsheng & Bao, Yan, 2021. "Aerodynamic performance assessment of φ-type vertical axis wind turbine under pitch motion," Energy, Elsevier, vol. 225(C).
    11. Xu, You-Lin & Peng, Yi-Xin & Zhan, Sheng, 2019. "Optimal blade pitch function and control device for high-solidity straight-bladed vertical axis wind turbines," Applied Energy, Elsevier, vol. 242(C), pages 1613-1625.
    12. Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhao, Yongsheng, 2020. "Investigation of V-shaped blade for the performance improvement of vertical axis wind turbines," Applied Energy, Elsevier, vol. 260(C).
    13. Barnes, Andrew & Marshall-Cross, Daniel & Hughes, Ben Richard, 2021. "Towards a standard approach for future Vertical Axis Wind Turbine aerodynamics research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    14. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.

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