IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p3906-d823821.html
   My bibliography  Save this article

Experimental Investigation of the Cooperation of Wind Turbines

Author

Listed:
  • Piotr Wiklak

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

  • Michal Kulak

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

  • Michal Lipian

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

  • Damian Obidowski

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

Abstract

The article discusses the wind tunnel experimental investigation of two turbines (the downstream unit placed fully in the wake of the upstream one) at various turbulence intensity levels and wind turbine separation distances, at a Reynolds number of approximately 10 5 . The velocity deficit due to the upstream turbine operation is reduced as the wake mixes with the undisturbed flow, which may be enhanced by increasing the turbulence intensity. In a natural environment, this may be provoked by natural wind gusts or changes in the wind inflow conditions. Increased levels of turbulence intensity enlarge the plateau of optimum wind turbine operation—this results in the turbine performance being less prone to variations of tip speed ratio. Another important set of results quantifies the influence of the upstream turbine operation at non-optimal tip speed ratio on the overall system performance, as the downstream machine gains more energy from the wake flow. Thus, all power output maximisation analyses of wind turbine layout in a cluster should encompass not only the locations and distances between the units, but also their operating parameters (TSR, but also pitch or yaw control of the upstream turbine(s)).

Suggested Citation

  • Piotr Wiklak & Michal Kulak & Michal Lipian & Damian Obidowski, 2022. "Experimental Investigation of the Cooperation of Wind Turbines," Energies, MDPI, vol. 15(11), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3906-:d:823821
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/3906/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/11/3906/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krzysztof Sobczak & Damian Obidowski & Piotr Reorowicz & Emil Marchewka, 2020. "Numerical Investigations of the Savonius Turbine with Deformable Blades," Energies, MDPI, vol. 13(14), pages 1-20, July.
    2. Marmidis, Grigorios & Lazarou, Stavros & Pyrgioti, Eleftheria, 2008. "Optimal placement of wind turbines in a wind park using Monte Carlo simulation," Renewable Energy, Elsevier, vol. 33(7), pages 1455-1460.
    3. Adaramola, M.S. & Krogstad, P.-Å., 2011. "Experimental investigation of wake effects on wind turbine performance," Renewable Energy, Elsevier, vol. 36(8), pages 2078-2086.
    4. Lipian, Michal & Dobrev, Ivan & Massouh, Fawaz & Jozwik, Krzysztof, 2020. "Small wind turbine augmentation: Numerical investigations of shrouded- and twin-rotor wind turbines," Energy, Elsevier, vol. 201(C).
    5. Talavera, Miguel & Shu, Fangjun, 2017. "Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel," Renewable Energy, Elsevier, vol. 109(C), pages 363-371.
    6. Lipian, Michal & Dobrev, Ivan & Karczewski, Maciej & Massouh, Fawaz & Jozwik, Krzysztof, 2019. "Small wind turbine augmentation: Experimental investigations of shrouded- and twin-rotor wind turbine systems," Energy, Elsevier, vol. 186(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. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
    2. Marina Barbarić & Zvonimir Guzović, 2020. "Investigation of the Possibilities to Improve Hydrodynamic Performances of Micro-Hydrokinetic Turbines," Energies, MDPI, vol. 13(17), pages 1-20, September.
    3. Bingzheng Dou & Zhanpei Yang & Michele Guala & Timing Qu & Liping Lei & Pan Zeng, 2020. "Comparison of Different Driving Modes for the Wind Turbine Wake in Wind Tunnels," Energies, MDPI, vol. 13(8), pages 1-17, April.
    4. He, Ruiyang & Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2022. "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    5. Böhme, Gustavo S. & Fadigas, Eliane A. & Gimenes, André L.V. & Tassinari, Carlos E.M., 2018. "Wake effect measurement in complex terrain - A case study in Brazilian wind farms," Energy, Elsevier, vol. 161(C), pages 277-283.
    6. Liang, Xiaoling & Fu, Shifeng & Cai, Fulin & Han, Xingxing & Zhu, Weijun & Yang, Hua & Shen, Wenzhong, 2023. "Experimental investigation on wake characteristics of wind turbine and a new two-dimensional wake model," Renewable Energy, Elsevier, vol. 203(C), pages 373-381.
    7. Kaldellis, John K. & Triantafyllou, Panagiotis & Stinis, Panagiotis, 2021. "Critical evaluation of Wind Turbines’ analytical wake models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    8. Bontempo, R. & Manna, M., 2020. "Diffuser augmented wind turbines: Review and assessment of theoretical models," Applied Energy, Elsevier, vol. 280(C).
    9. Rahmatian, Mohammad Ali & Hashemi Tari, Pooyan & Majidi, Sahand & Mojaddam, Mohammad, 2023. "Experimental study of the effect of the duct on dual co-axial horizontal axis wind turbines and the effect of rotors diameter ratio and distance on increasing power coefficient," Energy, Elsevier, vol. 284(C).
    10. Li, L. & Hearst, R.J. & Ferreira, M.A. & Ganapathisubramani, B., 2020. "The near-field of a lab-scale wind turbine in tailored turbulent shear flows," Renewable Energy, Elsevier, vol. 149(C), pages 735-748.
    11. Dinçer, A.E. & Demir, A. & Yılmaz, K., 2024. "Multi-objective turbine allocation on a wind farm site," Applied Energy, Elsevier, vol. 355(C).
    12. Azlan, F. & Kurnia, J.C. & Tan, B.T. & Ismadi, M.-Z., 2021. "Review on optimisation methods of wind farm array under three classical wind condition problems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    13. Nunes, Matheus M. & Brasil Junior, Antonio C.P. & Oliveira, Taygoara F., 2020. "Systematic review of diffuser-augmented horizontal-axis turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    14. Haojun Tang & Kit-Ming Lam & Kei-Man Shum & Yongle Li, 2019. "Wake Effect of a Horizontal Axis Wind Turbine on the Performance of a Downstream Turbine," Energies, MDPI, vol. 12(12), pages 1-18, June.
    15. Syed Ahmed Kabir, Ijaz Fazil & Safiyullah, Ferozkhan & Ng, E.Y.K. & Tam, Vivian W.Y., 2020. "New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows," Energy, Elsevier, vol. 193(C).
    16. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    17. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
    18. Arnold, Uwe & Yildiz, Özgür, 2015. "Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach," Renewable Energy, Elsevier, vol. 77(C), pages 227-239.
    19. Song, Mengxuan & Wen, Yi & Duan, Bin & Wang, Jun & Gong, Qi, 2017. "Micro-siting optimization of a wind farm built in multiple phases," Energy, Elsevier, vol. 137(C), pages 95-103.
    20. Kale, Baris & Buckingham, Sophia & van Beeck, Jeroen & Cuerva-Tejero, Alvaro, 2023. "Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models," Renewable Energy, Elsevier, vol. 216(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:15:y:2022:i:11:p:3906-:d:823821. 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.