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Aero-structural design and optimization of a small wind turbine blade

Author

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  • Pourrajabian, Abolfazl
  • Nazmi Afshar, Peyman Amir
  • Ahmadizadeh, Mehdi
  • Wood, David

Abstract

The study develops a methodology for the aero-structural design including consideration of the starting of a small wind turbine blade. To design a fast-starting blade, starting time was combined with output power in an objective function and the blade allowable stress was considered as a constraint. The output power and the starting time were calculated by the blade-element momentum theory and the simple beam theory was employed to compute the stress and deflection along the blade. A genetic algorithm was employed to solve the constrained objective function, finding an optimal blade for which the starting time was small and output power was high while the stress limitation was also met. Considering the hollow cross-sectional model for the structural analysis, the design variables consist of the chord, twist and the shell thickness along the blade. Results showed that a hollow blade expedites the starting at low speeds by decreasing the blade inertia while the resultant stress along the blade does not exceed the allowable stress. By increasing the contribution of the starting time in the objective function, both the external and internal geometry of the blade help the starting and also provide more powerful hollow blades compared to the solid ones.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:87:y:2016:i:p2:p:837-848
    DOI: 10.1016/j.renene.2015.09.002
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    References listed on IDEAS

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    1. 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.
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    3. Mayer, C & Bechly, M.E & Hampsey, M & Wood, D.H, 2001. "The starting behaviour of a small horizontal-axis wind turbine," Renewable Energy, Elsevier, vol. 22(1), pages 411-417.
    4. Ebert, P.R. & Wood, D.H., 1997. "Observations of the starting behaviour of a small horizontalaxis wind turbine," Renewable Energy, Elsevier, vol. 12(3), pages 245-257.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Kaminski, Meghan & Loth, Eric & Griffith, D. Todd & Qin, Chao (Chris), 2020. "Ground testing of a 1% gravo-aeroelastically scaled additively-manufactured wind turbine blade with bio-inspired structural design," Renewable Energy, Elsevier, vol. 148(C), pages 639-650.
    3. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    4. Zhiqiang Yang & Minghui Yin & Yan Xu & Yun Zou & Zhao Yang Dong & Qian Zhou, 2016. "Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
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    8. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    9. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    10. Baniassadi, Amir & Shirinbakhsh, Mehrdad & Torabi, Farschad, 2017. "Multivariate optimization of off-grid wind turbines with variable demand - Case study of a remote commercial building," Renewable Energy, Elsevier, vol. 101(C), pages 1021-1029.
    11. Jose Alberto Moleón Baca & Antonio Jesús Expósito González & Candido Gutiérrez Montes, 2020. "Analysis of the Patent of a Protective Cover for Vertical-Axis Wind Turbines (VAWTs): Simulations of Wind Flow," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    12. Pourrajabian, Abolfazl & Dehghan, Maziar & Javed, Adeel & Wood, David, 2019. "Choosing an appropriate timber for a small wind turbine blade: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 1-8.
    13. 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.
    14. Zhang, Xiaoling & Zhang, Kejia & Yang, Xiao & Fazeres-Ferradosa, Tiago & Zhu, Shun-Peng, 2023. "Transfer learning and direct probability integral method based reliability analysis for offshore wind turbine blades under multi-physics coupling," Renewable Energy, Elsevier, vol. 206(C), pages 552-565.
    15. Yossri, W. & Ben Ayed, S. & Abdelkefi, A., 2023. "Evaluation of the efficiency of bioinspired blade designs for low-speed small-scale wind turbines with the presence of inflow turbulence effects," Energy, Elsevier, vol. 273(C).

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