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A computational study on the performance and wake development of a tilted H-Shaped VAWT rotor

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  • Kouaissah, O.
  • Franchina, N.
  • Siddiqui, M.S.
  • Persico, G.

Abstract

Wind energy is expected to play a key role in achieving challenging decarbonization objectives set by the current green energy transition. VAWTs are well-suited for the emerging market of floating offshore wind and hold significant potential to decrease the levelized cost of energy for offshore platforms. However, the flow field around a VAWT rotor is unsteady and three-dimensional due to the interaction between blades and vortical structures. Computational Fluid Dynamics is a crucial tool to study complex flow structures and optimize the machines at a reduced cost. This study presents a comprehensive 3D CFD investigation of the performance and wakes development trends of a straight-blade H-shaped VAWT operating in a tilted condition, a typical configuration for floating offshore installations. The VAWT model is studied at peak power and off-design TSR values. The predictions are analyzed by considering the complex flow field and near-wake development. The study finds that the 3D flow originating from the struts, the finite blade effects, and the tilted operating condition critically impact the machine’s performance. The study provides an in-depth analysis of turbine aerodynamics and spanwise variations to investigate the fluid-dynamic phenomena and their implications on energy production.

Suggested Citation

  • Kouaissah, O. & Franchina, N. & Siddiqui, M.S. & Persico, G., 2024. "A computational study on the performance and wake development of a tilted H-Shaped VAWT rotor," Renewable Energy, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:renene:v:222:y:2024:i:c:s0960148123018475
    DOI: 10.1016/j.renene.2023.119932
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    References listed on IDEAS

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    1. Franchina, N. & Kouaissah, O. & Persico, G. & Savini, M., 2022. "Three-dimensional modeling and investigation of the flow around a troposkein vertical axis wind turbine at different operating conditions," Renewable Energy, Elsevier, vol. 199(C), pages 368-381.
    2. Battisti, L. & Persico, G. & Dossena, V. & Paradiso, B. & Raciti Castelli, M. & Brighenti, A. & Benini, E., 2018. "Experimental benchmark data for H-shaped and troposkien VAWT architectures," Renewable Energy, Elsevier, vol. 125(C), pages 425-444.
    3. Pagnini, Luisa C. & Burlando, Massimiliano & Repetto, Maria Pia, 2015. "Experimental power curve of small-size wind turbines in turbulent urban environment," Applied Energy, Elsevier, vol. 154(C), pages 112-121.
    4. Balduzzi, Francesco & Bianchini, Alessandro & Ferrara, Giovanni & Ferrari, Lorenzo, 2016. "Dimensionless numbers for the assessment of mesh and timestep requirements in CFD simulations of Darrieus wind turbines," Energy, Elsevier, vol. 97(C), pages 246-261.
    5. Peng, H.Y. & Liu, H.J. & Yang, J.H., 2021. "A review on the wake aerodynamics of H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 232(C).
    6. Tescione, G. & Ragni, D. & He, C. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Near wake flow analysis of a vertical axis wind turbine by stereoscopic particle image velocimetry," Renewable Energy, Elsevier, vol. 70(C), pages 47-61.
    7. Lei, Hang & Zhou, Dai & Lu, Jiabao & Chen, Caiyong & Han, Zhaolong & Bao, Yan, 2017. "The impact of pitch motion of a platform on the aerodynamic performance of a floating vertical axis wind turbine," Energy, Elsevier, vol. 119(C), pages 369-383.
    8. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "CFD simulation of a vertical axis wind turbine operating at a moderate tip speed ratio: Guidelines for minimum domain size and azimuthal increment," Renewable Energy, Elsevier, vol. 107(C), pages 373-385.
    9. Tjiu, Willy & Marnoto, Tjukup & Mat, Sohif & Ruslan, Mohd Hafidz & Sopian, Kamaruzzaman, 2015. "Darrieus vertical axis wind turbine for power generation I: Assessment of Darrieus VAWT configurations," Renewable Energy, Elsevier, vol. 75(C), pages 50-67.
    10. Franchina, N. & Persico, G. & Savini, M., 2019. "2D-3D Computations of a Vertical Axis Wind Turbine Flow Field: Modeling Issues and Physical Interpretations," Renewable Energy, Elsevier, vol. 136(C), pages 1170-1189.
    11. Hidetaka Senga & Hiroki Umemoto & Hiromichi Akimoto, 2022. "Verification of Tilt Effect on the Performance and Wake of a Vertical Axis Wind Turbine by Lifting Line Theory Simulation," Energies, MDPI, vol. 15(19), pages 1-17, September.
    12. Breton, Simon-Philippe & Moe, Geir, 2009. "Status, plans and technologies for offshore wind turbines in Europe and North America," Renewable Energy, Elsevier, vol. 34(3), pages 646-654.
    13. Tjiu, Willy & Marnoto, Tjukup & Mat, Sohif & Ruslan, Mohd Hafidz & Sopian, Kamaruzzaman, 2015. "Darrieus vertical axis wind turbine for power generation II: Challenges in HAWT and the opportunity of multi-megawatt Darrieus VAWT development," Renewable Energy, Elsevier, vol. 75(C), pages 560-571.
    14. Watson, Simon & Moro, Alberto & Reis, Vera & Baniotopoulos, Charalampos & Barth, Stephan & Bartoli, Gianni & Bauer, Florian & Boelman, Elisa & Bosse, Dennis & Cherubini, Antonello & Croce, Alessandro , 2019. "Future emerging technologies in the wind power sector: A European perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
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