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Aerodynamic characterization of a H-Darrieus wind turbine with a Drag-Disturbed Flow device installation

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  • Jiang, Tieliu
  • Zhao, Yuze
  • Wang, Shengwen
  • Zhang, Lidong
  • Li, Guohao

Abstract

This study examines the impact of the Drag-Disturbed Flow device on the startup and operation of HDWT (H-Darrieus wind turbine). The device plays a crucial role in enhancing the startup performance of the HDWT and improving the overall wind energy utilization. This work presents a study where two-dimensional computational fluid dynamics (CFD) evaluations are performed on various D-DF (Drag-Disturbed) devices. The HDWT utilizes the NACA0018 airfoil type, while the D-DF device employs triangular, oval, and NACA0018 airfoil structures. The text explains the installation process and operational principles of the D-DF device. It also verifies the device's meshing and accuracy. Furthermore, this study conducts 2-D simulations to analyze the impact of various D-DF devices on the moment and wind energy consumption coefficients of the HDWT. Additionally, the process by which D-DF devices enhance the performance of the HDWT is explained by an analysis of the vortex cloud diagram. The results indicate that the HDWTs equipped with D-DF devices experience significant performance improvements during the wind turbine startup phase. Specifically, the Drag blade effectively enhances the moment coefficient of the HDWTs at low tip speed ratios by an average of approximately 41.74 %. Additionally, once the HDWTs are started and operating at high tip speed ratios, all D-DF devices, except for the DF-Tri, can be utilized within the λ = 1.2–2 range to enhance the torque coefficient of the HDWT by an average of about 7.53 %. This study aims to improve the operating performance of the current HDWT, lower the wind turbine cut-in wind speed, and enhance the wind energy consumption of the turbine.

Suggested Citation

  • Jiang, Tieliu & Zhao, Yuze & Wang, Shengwen & Zhang, Lidong & Li, Guohao, 2024. "Aerodynamic characterization of a H-Darrieus wind turbine with a Drag-Disturbed Flow device installation," Energy, Elsevier, vol. 292(C).
    • Handle: RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002937
    DOI: 10.1016/j.energy.2024.130522
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    1. Xu, Xuefang & Li, Bo & Qiao, Zijian & Shi, Peiming & Shao, Huaishuang & Li, Ruixiong, 2023. "Caputo-Fabrizio fractional order derivative stochastic resonance enhanced by ADOF and its application in fault diagnosis of wind turbine drivetrain," Renewable Energy, Elsevier, vol. 219(P1).
    2. Borg, Michael & Collu, Maurizio & Kolios, Athanasios, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. Part II: Mooring line and structural dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1226-1234.
    3. Wen, Jiahao & Zhou, Lei & Zhang, Hongfu, 2023. "Mode interpretation of blade number effects on wake dynamics of small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 263(PA).
    4. Wong, Kok Hoe & Chong, Wen Tong & Poh, Sin Chew & Shiah, Yui-Chuin & Sukiman, Nazatul Liana & Wang, Chin-Tsan, 2018. "3D CFD simulation and parametric study of a flat plate deflector for vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 32-55.
    5. Tong, Guoqiang & Li, Yan & Tagawa, Kotaro & Feng, Fang, 2023. "Effects of blade airfoil chord length and rotor diameter on aerodynamic performance of straight-bladed vertical axis wind turbines by numerical simulation," Energy, Elsevier, vol. 265(C).
    6. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Zhang, Lidong & Li, Jiao & Xu, Xiandong & Liu, Fengrui & Guo, Yuanjun & Yang, Zhile & Hu, Tianyu, 2023. "High spatial granularity residential heating load forecast based on Dendrite net model," Energy, Elsevier, vol. 269(C).
    8. Erik Möllerström & Fredric Ottermo & Jonny Hylander & Hans Bernhoff, 2015. "Noise Emission of a 200 kW Vertical Axis Wind Turbine," Energies, MDPI, vol. 9(1), pages 1-10, December.
    9. Xu, Xuefang & Hu, Shiting & Shao, Huaishuang & Shi, Peiming & Li, Ruixiong & Li, Deguang, 2023. "A spatio-temporal forecasting model using optimally weighted graph convolutional network and gated recurrent unit for wind speed of different sites distributed in an offshore wind farm," Energy, Elsevier, vol. 284(C).
    10. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "Effect of pitch angle on power performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 197(C), pages 132-150.
    11. Qiang Gao & Shuai Lian & Hongwei Yan, 2022. "Aerodynamic Performance Analysis of Adaptive Drag-Lift Hybrid Type Vertical Axis Wind Turbine," Energies, MDPI, vol. 15(15), pages 1-15, August.
    12. Shaughnessy, B.M. & Probert, S.D., 1992. "Partially-blocked savonius rotor," Applied Energy, Elsevier, vol. 43(4), pages 239-249.
    13. Zhou, Lei & Wen, Jiahao & Wang, Zhaokun & Deng, Pengru & Zhang, Hongfu, 2023. "High-fidelity wind turbine wake velocity prediction by surrogate model based on d-POD and LSTM," Energy, Elsevier, vol. 275(C).
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