IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i2p357-d1316706.html
   My bibliography  Save this article

Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities

Author

Listed:
  • Qian Xu

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Hui Yang

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Yuehong Qian

    (School of Mathematcial Sciences, Soochow University, Suzhou 215006, China
    College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China)

  • Yikun Wei

    (Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract

In this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring under shear force in the incoming flow direction, the S-wave and the Kelvin–Helmholtz instability occur in the major vortex ring mainly due to the unstable vortex ring interface with small disturbance of shear velocity along the direction of flow velocity. The S-wave and Kelvin–Helmholtz instability are increasingly enhanced in the main vortex ring, and three-dimensional disturbances are inevitable along the mainstream direction when it evolves along the flow direction. With increasing incoming flow, the S-wave and Kelvin–Helmholtz instability are gradually enhanced due to the increasing shear force in the flow direction. This is related to the nonlinear growth mechanism of the disturbance. The analysis of the velocity signal, as well as the pressure signal with a fast Fourier transform, indicates that the interaction between the vortices effectively accelerates the turbulence generation. In the near-field region of the wake, the dissipation mainly occurs at the vortex at the blade tip, and the velocity distribution appears asymmetric around the turbine centerline under shear and the mixing of fluids with different velocities in the wake zone also leads to asymmetric distributions.

Suggested Citation

  • Qian Xu & Hui Yang & Yuehong Qian & Yikun Wei, 2024. "Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities," Energies, MDPI, vol. 17(2), pages 1-15, January.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:357-:d:1316706
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/2/357/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/2/357/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yuquan & Zang, Wei & Zheng, Jinhai & Cappietti, Lorenzo & Zhang, Jisheng & Zheng, Yuan & Fernandez-Rodriguez, E., 2021. "The influence of waves propagating with the current on the wake of a tidal stream turbine," Applied Energy, Elsevier, vol. 290(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuangqing Yan & Yang Zheng & Jinbao Chen & Yousong Shi, 2022. "Hydraulic Oscillation Analysis of the Hydropower Station with an Equivalent Circuit-Based Hydraulic Impedance Scheme," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    2. Qinghong Zhang & Zhouhao Shi & Weidong Shi & Zhanshan Xie & Linwei Tan & Yongfei Yang, 2022. "Research on Flow Field Characteristics in Water Jet Nozzle and Surface Damage Caused by Target Impact," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    3. Deng, Xu & Zhang, Jisheng & Lin, Xiangfeng, 2024. "Proposal of actuator line-immersed boundary coupling model for tidal stream turbine modeling with hydrodynamics upon scouring morphology," Energy, Elsevier, vol. 292(C).
    4. Ge, Xinfeng & Sun, Jie & Zhou, Ye & Cai, Jianguo & Zhang, Hui & Zhang, Lei & Ding, Mingquan & Deng, Chaozhong & Binama, Maxime & Zheng, Yuan, 2021. "Experimental and Numerical studies on Opening and Velocity Influence on Sediment Erosion of Pelton Turbine Buckets," Renewable Energy, Elsevier, vol. 173(C), pages 1040-1056.
    5. Jie Sun & Yuquan Zhang & Bin Liu & Xinfeng Ge & Yuan Zheng & Emmanuel Fernandez-Rodriguez, 2022. "Research on Oil Mist Leakage of Bearing in Hydropower Station: A Review," Energies, MDPI, vol. 15(7), pages 1-24, April.
    6. Baolong Liu & Jianxing Yu, 2022. "Effect of Mooring Parameters on Dynamic Responses of a Semi-Submersible Floating Offshore Wind Turbine," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    7. Rabea Jamil Mahfoud & Nizar Faisal Alkayem & Emmanuel Fernandez-Rodriguez & Yuan Zheng & Yonghui Sun & Shida Zhang & Yuquan Zhang, 2024. "Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks," Mathematics, MDPI, vol. 12(2), pages 1-33, January.
    8. Yangyang Wei & Yuhui Shi & Weidong Shi & Bo Pan, 2022. "Numerical Analysis and Experimental Study of Unsteady Flow Characteristics in an Ultra-Low Specific Speed Centrifugal Pump," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    9. Garcia-Novo, Patxi & Inubuse, Masako & Matsuno, Takeshi & Kyozuka, Yusaku & Archer, Philip & Matsuo, Hiroshi & Henzan, Katsuhiro & Sakaguchi, Daisaku, 2024. "Characterization of the wake generated downstream of a MW-scale tidal turbine in Naru Strait, Japan, based on vessel-mounted ADCP data," Energy, Elsevier, vol. 299(C).
    10. Zhang, Yuquan & Wei, Wenqian & Zheng, Jinhai & Peng, Bin & Qian, Yaoru & Li, Chengyi & Zheng, Yuan & Fernandez-Rodriguez, Emmanuel & Yu, An, 2023. "Quantifying the surge-induced response of a floating tidal stream turbine under wave-current flows," Energy, Elsevier, vol. 283(C).
    11. Yuxiang Zhao & Caixia Mo & Wanqiang Zhu & Jianmei Chen & Baigong Wu & Xiao Zhang & Xueming Zhang & Liwei Chen, 2023. "Design and Test for a New Type of Permanent Magnet Synchronous Generator Applied in Tidal Current Energy System," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    12. Yang, Chunxia & Li, Qian & Hu, Xueyuan & Zheng, Yuan & Wu, Jiawei & Su, Shengzhi & Yu, An, 2023. "Fish injury analysis and flip-blade type optimization design of an undershot waterwheel," Renewable Energy, Elsevier, vol. 219(P1).
    13. Wei Zang & Yuan Zheng & Yuquan Zhang & Xiangfeng Lin & Yanwei Li & Emmanuel Fernandez-Rodriguez, 2022. "Numerical Investigation on a Diffuser-Augmented Horizontal Axis Tidal Stream Turbine with the Entropy Production Theory," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    14. Jiayan Zhou & Huijuan Guo & Yuan Zheng & Zhi Zhang & Cong Yuan & Bin Liu, 2023. "Research on Wake Field Characteristics and Support Structure Interference of Horizontal Axis Tidal Stream Turbine," Energies, MDPI, vol. 16(9), pages 1-16, May.
    15. Yang Li & Rongqiang Li & Linjun Shi & Feng Wu & Jianhua Zhou & Jian Liu & Keman Lin, 2023. "Adjustable Capability Evaluation of Integrated Energy Systems Considering Demand Response and Economic Constraints," Energies, MDPI, vol. 16(24), pages 1-23, December.
    16. Zhang, Yuquan & Peng, Bin & Zheng, Jinhai & Zheng, Yuan & Tang, Qinghong & Liu, Zhiqiang & Xu, Junhui & Wang, Yirong & Fernandez-Rodriguez, Emmanuel, 2023. "The impact of yaw motion on the wake interaction of adjacent floating tidal stream turbines under free surface condition," Energy, Elsevier, vol. 283(C).
    17. Chen Feng & Guilin Li & Yuan Zheng & Daqing Zhou & Zijun Mai, 2022. "Multi-Objective Optimization of Back-to-Back Starting for Pumped Storage Plants under Low Water Head Conditions Based on the Refined Model," Sustainability, MDPI, vol. 14(16), pages 1-30, August.
    18. Yang Li & Ni Fang & Shengming He & Feng Wu & Outing Li & Linjun Shi & Renshan Ding, 2024. "Two-Stage Stochastic Scheduling of Cascaded Hydropower–Wind–Photovoltaic Hybrid Systems Considering Contract Decomposition and Spot Market," Sustainability, MDPI, vol. 16(3), pages 1-19, January.
    19. Wei Shao & Wenhan Yue & Ye Zhang & Tianxing Zhou & Yutong Zhang & Yabin Dang & Haoyu Wang & Xianhui Feng & Zhiming Chao, 2023. "The Application of Machine Learning Techniques in Geotechnical Engineering: A Review and Comparison," Mathematics, MDPI, vol. 11(18), pages 1-16, September.
    20. Liang, Darong & Wu, Baigong & Shu, Yongdong & Zhou, Zhenhu & Zhang, Xiao & Chen, Jianmei & Zhu, Wanqiang & Ji, Qingshan, 2024. "Structural optimization and performance investigation of power flow adaptive flow devices based on multi-body coupling," Energy, Elsevier, vol. 312(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:357-:d:1316706. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.