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Integrated Surrogate Optimization of a Vertical Axis Wind Turbine

Author

Listed:
  • Marco A. Moreno-Armendáriz

    (Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz s/n, Ciudad de Mexico 07738, Mexico)

  • Eddy Ibarra-Ontiveros

    (Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz s/n, Ciudad de Mexico 07738, Mexico)

  • Hiram Calvo

    (Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Bátiz s/n, Ciudad de Mexico 07738, Mexico)

  • Carlos A. Duchanoy

    (Gus Chat, Av. Paseo de la Reforma 26-Piso 19, Ciudad de Mexico 06600, Mexico)

Abstract

In this work, a 3D computational model based on computational fluid dynamics (CFD) is built to simulate the aerodynamic behavior of a Savonius-type vertical axis wind turbine with a semi-elliptical profile. This computational model is used to evaluate the performance of the wind turbine in terms of its power coefficient (Cp). Subsequently, a full factorial design of experiments (DOE) is defined to obtain a representative sample of the search space on the geometry of the wind turbine. A dataset is built on the performance of each geometry proposed in the DOE. This process is carried out in an automated way through a scheme of integrated computational platforms. Later, a surrogate model of the wind turbine is fitted to estimate its performance using machine learning algorithms. Finally, a process of optimization of the geometry of the wind turbine is carried out employing metaheuristic optimization algorithms to maximize its Cp; the final optimized designs are evaluated using the computational model for validating their performance.

Suggested Citation

  • Marco A. Moreno-Armendáriz & Eddy Ibarra-Ontiveros & Hiram Calvo & Carlos A. Duchanoy, 2021. "Integrated Surrogate Optimization of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 15(1), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:233-:d:714244
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    References listed on IDEAS

    as
    1. Mohamed, M.H. & Janiga, G. & Pap, E. & Thévenin, D., 2010. "Optimization of Savonius turbines using an obstacle shielding the returning blade," Renewable Energy, Elsevier, vol. 35(11), pages 2618-2626.
    2. Akwa, João Vicente & Vielmo, Horácio Antonio & Petry, Adriane Prisco, 2012. "A review on the performance of Savonius wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3054-3064.
    3. Baoshou Zhang & Baowei Song & Zhaoyong Mao & Wenlong Tian & Boyang Li & Bo Li, 2017. "A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines," Energies, MDPI, vol. 10(3), pages 1-20, March.
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