IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1198-d1350113.html
   My bibliography  Save this article

An Investigation of Tidal Stream Turbine Wake Development Using Modified BEM–AD Model

Author

Listed:
  • Chee M. Pang

    (Centre of Renewables and Energy (CREDIT), School of Engineering, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland)

  • David M. Kennedy

    (Department of Mechanical Engineering, Technological University Dublin, Bolton Street, D07 H6K8 Dublin, Ireland)

  • Fergal O’Rourke

    (Centre of Renewables and Energy (CREDIT), School of Engineering, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland)

Abstract

Tidal stream turbines (TST) are a promising option for electricity generation to meet the ever-increasing demand for energy. The actuator disk (AD) method is often employed to represent a TST, to evaluate the TST operating in a tidal flow. While this method can effectively reduce the computational cost and provide accurate prediction of far-wake flow conditions, it falls short of fully characterising critical hydrodynamics elements. To address this limitation, a hybrid method is implemented by coupling AD with the blade element momentum (BEM) theory, using detailed performance data, such as thrust, to enhance the prediction of the wake effects. This work focuses on the development of a hybrid BEM–AD method using Reynolds-Averaged Navier–Stokes (RANS) turbulence models within computational fluid dynamics (CFD). Two variations and a hybrid modification of an AD model are presented in this paper. The first modified variation is a velocity variation that takes into account velocity profile inflow into the disk’s configuration. The second modified variation is a radial variation that integrates the blade element theory into the disk’s configuration. The hybrid modified model combines both the velocity profiles influenced and blade element theory in the design and analysis of the actuator disk. Several key investigations on some of the pre-solver parameters are also investigated in this research such as the effect of changing velocity and radial distance on the porosity and loss coefficient of the actuator disk performance. Importantly, this work provides an improved method to evaluate the key wake effects from a TST array which is crucial to determine the power performance of the TST array.

Suggested Citation

  • Chee M. Pang & David M. Kennedy & Fergal O’Rourke, 2024. "An Investigation of Tidal Stream Turbine Wake Development Using Modified BEM–AD Model," Energies, MDPI, vol. 17(5), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1198-:d:1350113
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/5/1198/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/5/1198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fallon, D. & Hartnett, M. & Olbert, A. & Nash, S., 2014. "The effects of array configuration on the hydro-environmental impacts of tidal turbines," Renewable Energy, Elsevier, vol. 64(C), pages 10-25.
    2. Sun, X. & Chick, J.P. & Bryden, I.G., 2008. "Laboratory-scale simulation of energy extraction from tidal currents," Renewable Energy, Elsevier, vol. 33(6), pages 1267-1274.
    3. Badoe, Charles E. & Edmunds, Matt & Williams, Alison J. & Nambiar, Anup & Sellar, Brian & Kiprakis, Aristides & Masters, Ian, 2022. "Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility," Renewable Energy, Elsevier, vol. 190(C), pages 232-250.
    4. Tian, Wenlong & VanZwieten, James H. & Pyakurel, Parakram & Li, Yanjun, 2016. "Influences of yaw angle and turbulence intensity on the performance of a 20 kW in-stream hydrokinetic turbine," Energy, Elsevier, vol. 111(C), pages 104-116.
    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. Lilia Flores Mateos & Michael Hartnett, 2020. "Hydrodynamic Effects of Tidal-Stream Power Extraction for Varying Turbine Operating Conditions," Energies, MDPI, vol. 13(12), pages 1-23, June.
    2. Nash, S. & Phoenix, A., 2017. "A review of the current understanding of the hydro-environmental impacts of energy removal by tidal turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 648-662.
    3. Stephen Nash & Agnieszka I. Olbert & Michael Hartnett, 2015. "Towards a Low-Cost Modelling System for Optimising the Layout of Tidal Turbine Arrays," Energies, MDPI, vol. 8(12), pages 1-19, November.
    4. Lilia Flores Mateos & Michael Hartnett, 2019. "Incorporation of a Non-Constant Thrust Force Coefficient to Assess Tidal-Stream Energy," Energies, MDPI, vol. 12(21), pages 1-17, October.
    5. Li, Xiaorong & Li, Ming & Jordan, Laura-Beth & McLelland, Stuart & Parsons, Daniel R. & Amoudry, Laurent O. & Song, Qingyang & Comerford, Liam, 2019. "Modelling impacts of tidal stream turbines on surface waves," Renewable Energy, Elsevier, vol. 130(C), pages 725-734.
    6. Modali, Pranav K. & Vinod, Ashwin & Banerjee, Arindam, 2021. "Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays," Renewable Energy, Elsevier, vol. 177(C), pages 482-494.
    7. Chen, Yaling & Lin, Binliang & Lin, Jie & Wang, Shujie, 2017. "Experimental study of wake structure behind a horizontal axis tidal stream turbine," Applied Energy, Elsevier, vol. 196(C), pages 82-96.
    8. Li, Xiaorong & Li, Ming & McLelland, Stuart J. & Jordan, Laura-Beth & Simmons, Stephen M. & Amoudry, Laurent O. & Ramirez-Mendoza, Rafael & Thorne, Peter D., 2017. "Modelling tidal stream turbines in a three-dimensional wave-current fully coupled oceanographic model," Renewable Energy, Elsevier, vol. 114(PA), pages 297-307.
    9. du Feu, R.J. & Funke, S.W. & Kramer, S.C. & Hill, J. & Piggott, M.D., 2019. "The trade-off between tidal-turbine array yield and environmental impact: A habitat suitability modelling approach," Renewable Energy, Elsevier, vol. 143(C), pages 390-403.
    10. Li, Siyi & Zhang, Mingrui & Piggott, Matthew D., 2023. "End-to-end wind turbine wake modelling with deep graph representation learning," Applied Energy, Elsevier, vol. 339(C).
    11. Eva Segura & Rafael Morales & José A. Somolinos, 2019. "Increasing the Competitiveness of Tidal Systems by Means of the Improvement of Installation and Maintenance Maneuvers in First Generation Tidal Energy Converters—An Economic Argumentation," Energies, MDPI, vol. 12(13), pages 1-27, June.
    12. Kamal, Md. Mustafa & Saini, R.P., 2023. "Performance investigations of hybrid hydrokinetic turbine rotor with different system and operating parameters," Energy, Elsevier, vol. 267(C).
    13. Zia Ur Rehman & Saeed Badshah & Amer Farhan Rafique & Mujahid Badshah & Sakhi Jan & Muhammad Amjad, 2021. "Effect of a Support Tower on the Performance and Wake of a Tidal Current Turbine," Energies, MDPI, vol. 14(4), pages 1-13, February.
    14. Cleynen, Olivier & Kerikous, Emeel & Hoerner, Stefan & Thévenin, Dominique, 2018. "Characterization of the performance of a free-stream water wheel using computational fluid dynamics," Energy, Elsevier, vol. 165(PB), pages 1392-1400.
    15. Mujahid Badshah & Saeed Badshah & James VanZwieten & Sakhi Jan & Muhammad Amir & Suheel Abdullah Malik, 2019. "Coupled Fluid-Structure Interaction Modelling of Loads Variation and Fatigue Life of a Full-Scale Tidal Turbine under the Effect of Velocity Profile," Energies, MDPI, vol. 12(11), pages 1-22, June.
    16. Möller, N.J. & Kim, H. & Neary, V.S. & García, M.H. & Chamorro, L.P., 2016. "On the near-wall effects induced by an axial-flow rotor," Renewable Energy, Elsevier, vol. 91(C), pages 524-530.
    17. Yang, Xiaolei & Khosronejad, Ali & Sotiropoulos, Fotis, 2017. "Large-eddy simulation of a hydrokinetic turbine mounted on an erodible bed," Renewable Energy, Elsevier, vol. 113(C), pages 1419-1433.
    18. Deng, Guizhong & Zhang, Zhaoru & Li, Ye & Liu, Hailong & Xu, Wentao & Pan, Yulin, 2020. "Prospective of development of large-scale tidal current turbine array: An example numerical investigation of Zhejiang, China," Applied Energy, Elsevier, vol. 264(C).
    19. O Rourke, Fergal & Boyle, Fergal & Reynolds, Anthony, 2010. "Tidal energy update 2009," Applied Energy, Elsevier, vol. 87(2), pages 398-409, February.
    20. Benchikh Le Hocine, Alla Eddine & Jay Lacey, R.W. & Poncet, Sébastien, 2019. "Multiphase modeling of the free surface flow through a Darrieus horizontal axis shallow-water turbine," Renewable Energy, Elsevier, vol. 143(C), pages 1890-1901.

    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:5:p:1198-:d:1350113. 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.