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Numerical workflow for 3D shape optimization and synthesis of vertical-axis wind turbines for specified operating regimes

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  • Marinić-Kragić, Ivo
  • Vučina, Damir
  • Milas, Zoran

Abstract

This paper presents a numerical workflow designed and developed for autonomous synthesis of vertical axis wind turbine (VAWT) blades for maximum annual energy production at a specified location given by specified wind speed distribution and prescribed tip speed ratio. The workflow can synthesize shapes of both classical VAWT designs: Darrieus and Savonius rotors. This is achieved using a novel shape parameterization scheme based on B-splines which represents a compromise between shape generality and the multitude of shape variables. The developed computational framework enables the optimizer to synthesize and evaluate a variety of geometrically and even topologically different shapes such as the Darrieus and Savonius types. Moreover, the workflow can invent (i.e. numerically generate without a resembling initial shape) new generic shapes for custom operating conditions. Both single wind-speed and systems related to real-site operating conditions specified by a given distribution of wind speeds are considered. The developed workflow consists of efficient geometry parameterization, a genetic algorithm based optimizer and a computational fluid dynamics based simulator. The rather promising results of custom-shaped vertical axis wind turbines for maximum annual energy production at a given specific site are presented using a set of case studies.

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  • Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2018. "Numerical workflow for 3D shape optimization and synthesis of vertical-axis wind turbines for specified operating regimes," Renewable Energy, Elsevier, vol. 115(C), pages 113-127.
    • Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:113-127
    DOI: 10.1016/j.renene.2017.08.030
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    2. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2022. "Robust optimization of Savonius-type wind turbine deflector blades considering wind direction sensitivity and production material decrease," Renewable Energy, Elsevier, vol. 192(C), pages 150-163.
    3. Baghdadi, M. & Elkoush, S. & Akle, B. & Elkhoury, M., 2020. "Dynamic shape optimization of a vertical-axis wind turbine via blade morphing technique," Renewable Energy, Elsevier, vol. 154(C), pages 239-251.
    4. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2022. "Global optimization of Savonius-type vertical axis wind turbine with multiple circular-arc blades using validated 3D CFD model," Energy, Elsevier, vol. 241(C).
    5. Guo, Zijian & Liu, Tanghong & Xu, Kai & Wang, Junyan & Li, Wenhui & Chen, Zhengwei, 2020. "Parametric analysis and optimization of a simple wind turbine in high speed railway tunnels," Renewable Energy, Elsevier, vol. 161(C), pages 825-835.

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