IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v196y2022icp1064-1094.html
   My bibliography  Save this article

Wake characterization of paired cross-flow turbines

Author

Listed:
  • Posa, Antonio

Abstract

The wake of paired cross-flow turbines is reproduced by means of Large-Eddy Simulation, using a computational grid consisting of about two billion points. The role of mutual interaction and secondary flows on the process of wake recovery is revealed across three different systems. The comparison across cases shows that the blockage effects and cross-flows are best exploited, with the purpose of a faster recovery in the region downstream of the turbines, when they are counter-rotating, sharing their leeward sides. This is also the paired system showing the lowest values of turbulent kinetic energy in the area just behind the upstream turbines, where other devices are supposed to be placed in typical staggered arrays or triangular units. This result is in qualitative agreement with an earlier study [1], where spanwise homogeneity of the flow was assumed, but it takes into account the important contribution by spanwise flows, promoting momentum influx from the free-stream at the spanwise boundaries of the wake and accelerating the process of wake recovery.

Suggested Citation

  • Posa, Antonio, 2022. "Wake characterization of paired cross-flow turbines," Renewable Energy, Elsevier, vol. 196(C), pages 1064-1094.
    • Handle: RePEc:eee:renene:v:196:y:2022:i:c:p:1064-1094
    DOI: 10.1016/j.renene.2022.07.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122009971
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.07.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hand, Brian & Cashman, Andrew, 2018. "Aerodynamic modeling methods for a large-scale vertical axis wind turbine: A comparative study," Renewable Energy, Elsevier, vol. 129(PA), pages 12-31.
    2. Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    3. 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.
    4. Stefania Zanforlin & Fulvio Buzzi & Marika Francesconi, 2019. "Performance Analysis of Hydrofoil Shaped and Bi-Directional Diffusers for Cross Flow Tidal Turbines in Single and Double-Rotor Configurations," Energies, MDPI, vol. 12(2), pages 1-25, January.
    5. Howell, Robert & Qin, Ning & Edwards, Jonathan & Durrani, Naveed, 2010. "Wind tunnel and numerical study of a small vertical axis wind turbine," Renewable Energy, Elsevier, vol. 35(2), pages 412-422.
    6. Lam, H.F. & Peng, H.Y., 2016. "Study of wake characteristics of a vertical axis wind turbine by two- and three-dimensional computational fluid dynamics simulations," Renewable Energy, Elsevier, vol. 90(C), pages 386-398.
    7. Mikaël Grondeau & Sylvain Guillou & Philippe Mercier & Emmanuel Poizot, 2019. "Wake of a Ducted Vertical Axis Tidal Turbine in Turbulent Flows, LBM Actuator-Line Approach," Energies, MDPI, vol. 12(22), pages 1-23, November.
    8. 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.
    9. 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.
    10. Mahdi Abkar & Jens Nørkær Sørensen & Fernando Porté-Agel, 2018. "An Analytical Model for the Effect of Vertical Wind Veer on Wind Turbine Wakes," Energies, MDPI, vol. 11(7), pages 1-10, July.
    11. Lam, H.F. & Peng, H.Y., 2017. "Measurements of the wake characteristics of co- and counter-rotating twin H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 131(C), pages 13-26.
    12. Lucy Massie & Pablo Ouro & Thorsten Stoesser & Qianyu Luo, 2019. "An Actuator Surface Model to Simulate Vertical Axis Turbines," Energies, MDPI, vol. 12(24), pages 1-16, December.
    13. Lam, H.F. & Peng, H.Y., 2017. "Development of a wake model for Darrieus-type straight-bladed vertical axis wind turbines and its application to micro-siting problems," Renewable Energy, Elsevier, vol. 114(PB), pages 830-842.
    14. 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.
    15. Ouro, Pablo & Runge, Stefan & Luo, Qianyu & Stoesser, Thorsten, 2019. "Three-dimensionality of the wake recovery behind a vertical axis turbine," Renewable Energy, Elsevier, vol. 133(C), pages 1066-1077.
    16. Delafin, P.-L. & Nishino, T. & Kolios, A. & Wang, L., 2017. "Comparison of low-order aerodynamic models and RANS CFD for full scale 3D vertical axis wind turbines," Renewable Energy, Elsevier, vol. 109(C), pages 564-575.
    17. Peter Bachant & Martin Wosnik, 2016. "Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine," Energies, MDPI, vol. 9(2), pages 1-18, January.
    18. Jifeng Peng, 2018. "Effects of Aerodynamic Interactions of Closely-Placed Vertical Axis Wind Turbine Pairs," Energies, MDPI, vol. 11(10), pages 1-13, October.
    19. 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.
    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. 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).
    2. 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.
    3. 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).
    4. Villeneuve, Thierry & Dumas, Guy, 2021. "Impact of some design considerations on the wake recovery of vertical-axis turbines," Renewable Energy, Elsevier, vol. 180(C), pages 1419-1438.
    5. 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).
    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. Zheng Yuan & Jin Jiang & Jun Zang & Qihu Sheng & Ke Sun & Xuewei Zhang & Renwei Ji, 2020. "A Fast Two-Dimensional Numerical Method for the Wake Simulation of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 14(1), pages 1-21, December.
    8. 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.
    9. Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    10. Lam, H.F. & Peng, H.Y., 2017. "Measurements of the wake characteristics of co- and counter-rotating twin H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 131(C), pages 13-26.
    11. 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.
    12. Gauvin-Tremblay, Olivier & Dumas, Guy, 2022. "Hydrokinetic turbine array analysis and optimization integrating blockage effects and turbine-wake interactions," Renewable Energy, Elsevier, vol. 181(C), pages 851-869.
    13. Villeneuve, Thierry & Winckelmans, Grégoire & Dumas, Guy, 2021. "Increasing the efficiency of vertical-axis turbines through improved blade support structures," Renewable Energy, Elsevier, vol. 169(C), pages 1386-1401.
    14. Lam, H.F. & Peng, H.Y., 2017. "Development of a wake model for Darrieus-type straight-bladed vertical axis wind turbines and its application to micro-siting problems," Renewable Energy, Elsevier, vol. 114(PB), pages 830-842.
    15. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
    16. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2018. "Towards optimal aerodynamic design of vertical axis wind turbines: Impact of solidity and number of blades," Energy, Elsevier, vol. 165(PB), pages 1129-1148.
    17. 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.
    18. Ma, Ning & Lei, Hang & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhang, Kai & Zhou, Lei & Chen, Caiyong, 2018. "Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio," Energy, Elsevier, vol. 150(C), pages 236-252.
    19. Villeneuve, Thierry & Boudreau, Matthieu & Dumas, Guy, 2020. "Improving the efficiency and the wake recovery rate of vertical-axis turbines using detached end-plates," Renewable Energy, Elsevier, vol. 150(C), pages 31-45.
    20. 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.

    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:eee:renene:v:196:y:2022:i:c:p:1064-1094. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.