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A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models

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  • Del Valle Carrasco, Arturo
  • Valles-Rosales, Delia J.
  • Mendez, Luis C.
  • Rodriguez, Manuel I.

Abstract

This work seeks to add a new approach to optimize a wind turbine blade's performance by implementing a surrogate model using the Kriging function with the chord, twist and the use of 3 different airfoils as design variables for the maximization of the Annual Energy Production. A combination of Genetic Algorithms and the SQP method for Local Search are used to exploit the model. A baseline design of the blade starts with a replica of the Phase VI blade utilized in a NASA-Ames experiment and a MatLab script utilizes the Blade Element Momentum Theory (BEM) for the aerodynamic analysis. Results show a 23% improvement in energy production by using this method.

Suggested Citation

  • Del Valle Carrasco, Arturo & Valles-Rosales, Delia J. & Mendez, Luis C. & Rodriguez, Manuel I., 2016. "A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models," Renewable Energy, Elsevier, vol. 88(C), pages 112-119.
    • Handle: RePEc:eee:renene:v:88:y:2016:i:c:p:112-119
    DOI: 10.1016/j.renene.2015.11.018
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Sanchez, Valentin & Pallares, Jordi & Vernet, Anton & Agafonova, Oxana & Hämäläinen, Jari, 2016. "A Multiple Actuator Block model for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 592-601.
    3. 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.
    4. Ahmadi Asl, Hamid & Kamali Monfared, Reza & Rad, Manouchehr, 2017. "Experimental investigation of blade number and design effects for a ducted wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 334-343.
    5. Vianna Neto, Júlio Xavier & Guerra Junior, Elci José & Moreno, Sinvaldo Rodrigues & Hultmann Ayala, Helon Vicente & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2018. "Wind turbine blade geometry design based on multi-objective optimization using metaheuristics," Energy, Elsevier, vol. 162(C), pages 645-658.
    6. Ghorani, Mohammad Mahdi & Karimi, Behrooz & Mirghavami, Seyed Mohammad & Saboohi, Zoheir, 2023. "A numerical study on the feasibility of electricity production using an optimized wind delivery system (Invelox) integrated with a Horizontal axis wind turbine (HAWT)," Energy, Elsevier, vol. 268(C).
    7. Kumar, P. Madhan & Seo, Jeonghwa & Seok, Woochan & Rhee, Shin Hyung & Samad, Abdus, 2019. "Multi-fidelity optimization of blade thickness parameters for a horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 135(C), pages 277-287.

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