IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1088-d1040499.html
   My bibliography  Save this article

Wind-Tunnel Experiments on the Interactions among a Pair/Trio of Closely Spaced Vertical-Axis Wind Turbines

Author

Listed:
  • Yoshifumi Jodai

    (Department of Mechanical Engineering, National Institute of Technology (KOSEN), Kagawa College, 355 Chokushi, Takamatsu 761-8058, Japan)

  • Yutaka Hara

    (Faculty of Engineering, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan)

Abstract

To elucidate the wind-direction dependence of the rotor performance in closely spaced vertical-axis wind turbines, wind-tunnel experiments were performed at a uniform wind velocity. In the experiments, a pair/trio of three-dimensional printed model turbines with a diameter of D = 50 mm was used. The experiments were performed systematically by applying incremental adjustments to the rotor gap g and rotational direction of each rotor and by changing the wind direction. For tandem layouts, the rotational speed of the downwind rotor is 75–80% that of an isolated rotor, even at g / D = 10. For the average rotational speed of the rotor pair, an origin-symmetrical and a line-symmetrical distribution are observed in the co-rotating and inverse-rotating configurations, respectively, thereby demonstrating the wind-direction dependence for the rotor pair. The inverse-rotating trio configuration yields a higher average rotational speed than the co-rotating trio configuration for any rotor spacing under the ideal bidirectional wind conditions. The maximum average rotational speed should be obtained for a wind direction of θ = 0° in the inverse-rotating trio configuration. The wind-direction dependence of the rotational speeds of the three turbines was explained via flow visualization using a smoke-wire method and velocity field study using two-dimensional computational fluid dynamics.

Suggested Citation

  • Yoshifumi Jodai & Yutaka Hara, 2023. "Wind-Tunnel Experiments on the Interactions among a Pair/Trio of Closely Spaced Vertical-Axis Wind Turbines," Energies, MDPI, vol. 16(3), pages 1-27, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1088-:d:1040499
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1088/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/3/1088/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zanforlin, Stefania & Nishino, Takafumi, 2016. "Fluid dynamic mechanisms of enhanced power generation by closely spaced vertical axis wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 1213-1226.
    2. Mereu, R. & Federici, D. & Ferrari, G. & Schito, P. & Inzoli, F., 2017. "Parametric numerical study of Savonius wind turbine interaction in a linear array," Renewable Energy, Elsevier, vol. 113(C), pages 1320-1332.
    3. Zhang, Baoshou & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2017. "A novel wake energy reuse method to optimize the layout for Savonius-type vertical axis wind turbines," Energy, Elsevier, vol. 121(C), pages 341-355.
    4. Zheng, H.-D. & Zheng, X.Y. & Zhao, S.X., 2020. "Arrangement of clustered straight-bladed wind turbines," Energy, Elsevier, vol. 200(C).
    5. Yoshifumi Jodai & Yutaka Hara, 2021. "Wind Tunnel Experiments on Interaction between Two Closely Spaced Vertical-Axis Wind Turbines in Side-by-Side Arrangement," Energies, MDPI, vol. 14(23), pages 1-19, November.
    6. Ahmadi-Baloutaki, Mojtaba & Carriveau, Rupp & Ting, David S-K., 2016. "A wind tunnel study on the aerodynamic interaction of vertical axis wind turbines in array configurations," Renewable Energy, Elsevier, vol. 96(PA), pages 904-913.
    7. Yutaka Hara & Yoshifumi Jodai & Tomoyuki Okinaga & Masaru Furukawa, 2021. "Numerical Analysis of the Dynamic Interaction between Two Closely Spaced Vertical-Axis Wind Turbines," Energies, MDPI, vol. 14(8), pages 1-23, April.
    8. Ji Hao Zhang & Fue-Sang Lien & Eugene Yee, 2022. "Investigations of Vertical-Axis Wind-Turbine Group Synergy Using an Actuator Line Model," Energies, MDPI, vol. 15(17), pages 1-22, August.
    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. Ji Hao Zhang & Fue-Sang Lien & Eugene Yee, 2022. "Investigations of Vertical-Axis Wind-Turbine Group Synergy Using an Actuator Line Model," Energies, MDPI, vol. 15(17), pages 1-22, August.
    2. Yoshifumi Jodai & Yutaka Hara, 2021. "Wind Tunnel Experiments on Interaction between Two Closely Spaced Vertical-Axis Wind Turbines in Side-by-Side Arrangement," Energies, MDPI, vol. 14(23), pages 1-19, November.
    3. Masaru Furukawa & Yutaka Hara & Yoshifumi Jodai, 2022. "Analytical Model for Phase Synchronization of a Pair of Vertical-Axis Wind Turbines," Energies, MDPI, vol. 15(11), pages 1-19, June.
    4. Jeffrey E. Silva & Louis Angelo M. Danao, 2021. "Varying VAWT Cluster Configuration and the Effect on Individual Rotor and Overall Cluster Performance," Energies, MDPI, vol. 14(6), pages 1-22, March.
    5. Chloë Dorge & Eric Louis Bibeau, 2023. "Deep Learning-Based Prediction of Unsteady Reynolds-Averaged Navier-Stokes Solutions for Vertical-Axis Turbines," Energies, MDPI, vol. 16(3), pages 1-33, January.
    6. Jirarote Buranarote & Yutaka Hara & Masaru Furukawa & Yoshifumi Jodai, 2022. "Method to Predict Outputs of Two-Dimensional VAWT Rotors by Using Wake Model Mimicking the CFD-Created Flow Field," Energies, MDPI, vol. 15(14), pages 1-29, July.
    7. Kuang, Limin & Katsuchi, Hiroshi & Zhou, Dai & Chen, Yaoran & Han, Zhaolong & Zhang, Kai & Wang, Jiaqi & Bao, Yan & Cao, Yong & Liu, Yijie, 2023. "Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement," Applied Energy, Elsevier, vol. 351(C).
    8. Vergaerde, Antoine & De Troyer, Tim & Standaert, Lieven & Kluczewska-Bordier, Joanna & Pitance, Denis & Immas, Alexandre & Silvert, Frédéric & Runacres, Mark C., 2020. "Experimental validation of the power enhancement of a pair of vertical-axis wind turbines," Renewable Energy, Elsevier, vol. 146(C), pages 181-187.
    9. Alexander, Aaron S. & Santhanakrishnan, Arvind, 2020. "Mechanisms of power augmentation in two side-by-side vertical axis wind turbines," Renewable Energy, Elsevier, vol. 148(C), pages 600-610.
    10. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    11. Jiang, Yichen & Liu, Shijie & Zao, Peidong & Yu, Yanwei & Zou, Li & Liu, Liqin & Li, Jiawen, 2022. "Experimental evaluation of a tree-shaped quad-rotor wind turbine on power output controllability and survival shutdown capability," Applied Energy, Elsevier, vol. 309(C).
    12. Peng, H.Y. & Liu, M.N. & Liu, H.J. & Lin, K., 2022. "Optimization of twin vertical axis wind turbines through large eddy simulations and Taguchi method," Energy, Elsevier, vol. 240(C).
    13. Posa, Antonio, 2022. "Wake characterization of paired cross-flow turbines," Renewable Energy, Elsevier, vol. 196(C), pages 1064-1094.
    14. C M, Shashikumar & Madav, Vasudeva, 2021. "Numerical and experimental investigation of modified V-shaped turbine blades for hydrokinetic energy generation," Renewable Energy, Elsevier, vol. 177(C), pages 1170-1197.
    15. Ian D. Brownstein & Nathaniel J. Wei & John O. Dabiri, 2019. "Aerodynamically Interacting Vertical-Axis Wind Turbines: Performance Enhancement and Three-Dimensional Flow," Energies, MDPI, vol. 12(14), pages 1-23, July.
    16. Barnes, Andrew & Marshall-Cross, Daniel & Hughes, Ben Richard, 2021. "Towards a standard approach for future Vertical Axis Wind Turbine aerodynamics research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    17. Manuel Viqueira-Moreira & Esteban Ferrer, 2020. "Insights into the Aeroacoustic Noise Generation for Vertical Axis Turbines in Close Proximity," Energies, MDPI, vol. 13(16), pages 1-18, August.
    18. Kun Wang & Li Zou & Aimin Wang & Peidong Zhao & Yichen Jiang, 2020. "Wind Tunnel Study on Wake Instability of Twin H-Rotor Vertical-Axis Turbines," Energies, MDPI, vol. 13(17), pages 1-18, August.
    19. Lin Pan & Ze Zhu & Haodong Xiao & Leichong Wang, 2021. "Numerical Analysis and Parameter Optimization of J-Shaped Blade on Offshore Vertical Axis Wind Turbine," Energies, MDPI, vol. 14(19), pages 1-29, October.
    20. Barnes, Andrew & Hughes, Ben, 2019. "Determining the impact of VAWT farm configurations on power output," Renewable Energy, Elsevier, vol. 143(C), pages 1111-1120.

    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:16:y:2023:i:3:p:1088-:d:1040499. 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.