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Physical Modelling of Tidal Stream Turbine Wake Structures under Yaw Conditions

Author

Listed:
  • Can Zhang

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
    Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK)

  • Jisheng Zhang

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China)

  • Athanasios Angeloudis

    (School of Engineering, Institute for Infrastructure and the Environment, The University of Edinburgh, Edinburgh EH8 9JU, UK)

  • Yudi Zhou

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China)

  • Stephan C. Kramer

    (Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK)

  • Matthew D. Piggott

    (Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK)

Abstract

Tidal stream turbines may operate under yawed conditions due to variability in ocean current directions. Insight into the wake structure of yawed turbines can be essential to ensure efficient tidal stream energy extraction, especially for turbine arrays where wake interactions emerge. We studied experimentally the effects of turbines operating under varying yaw conditions. Two scenarios, including a single turbine and a set of two turbines in alignment, were configured and compared. The turbine thrust force results confirmed that an increasing yaw angle results in a decrease in the turbine streamwise force and an increase in the turbine spanwise force. The velocity distribution from the single turbine scenario showed that the wake deflection and velocity deficit recovery rate increased at a rate proportional to the yaw angle. The two-turbine scenario results indicated that the deployment of an upstream non-yawed turbine significantly limited the downstream wake steering (i.e., the wake area behind the downstream turbine). Interestingly, a yawed downstream turbine was seen to influence the steering of both the upstream and the downstream wakes. These systematically derived data could be regarded as useful references for the numerical modelling and optimisation of large arrays.

Suggested Citation

  • Can Zhang & Jisheng Zhang & Athanasios Angeloudis & Yudi Zhou & Stephan C. Kramer & Matthew D. Piggott, 2023. "Physical Modelling of Tidal Stream Turbine Wake Structures under Yaw Conditions," Energies, MDPI, vol. 16(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1742-:d:1063489
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    1. Gao, Zhiteng & Li, Ye & Wang, Tongguang & Shen, Wenzhong & Zheng, Xiaobo & Pröbsting, Stefan & Li, Deshun & Li, Rennian, 2021. "Modelling the nacelle wake of a horizontal-axis wind turbine under different yaw conditions," Renewable Energy, Elsevier, vol. 172(C), pages 263-275.
    2. van Dijk, Mike T. & van Wingerden, Jan-Willem & Ashuri, Turaj & Li, Yaoyu, 2017. "Wind farm multi-objective wake redirection for optimizing power production and loads," Energy, Elsevier, vol. 121(C), pages 561-569.
    3. Zhang, Jisheng & Lin, Xiangfeng & Wang, Risheng & Guo, Yakun & Zhang, Can & Zhang, Yuquan, 2020. "Flow structures in wake of a pile-supported horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 2321-2334.
    4. Fleming, Paul A. & Gebraad, Pieter M.O. & Lee, Sang & van Wingerden, Jan-Willem & Johnson, Kathryn & Churchfield, Matt & Michalakes, John & Spalart, Philippe & Moriarty, Patrick, 2014. "Evaluating techniques for redirecting turbine wakes using SOWFA," Renewable Energy, Elsevier, vol. 70(C), pages 211-218.
    5. Frost, C. & Morris, C.E. & Mason-Jones, A. & O'Doherty, D.M. & O'Doherty, T., 2015. "The effect of tidal flow directionality on tidal turbine performance characteristics," Renewable Energy, Elsevier, vol. 78(C), pages 609-620.
    6. 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.
    7. Bahaj, A.S. & Molland, A.F. & Chaplin, J.R. & Batten, W.M.J., 2007. "Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank," Renewable Energy, Elsevier, vol. 32(3), pages 407-426.
    8. O'Rourke, Fergal & Boyle, Fergal & Reynolds, Anthony & Kennedy, David M., 2015. "Hydrodynamic performance prediction of a tidal current turbine operating in non-uniform inflow conditions," Energy, Elsevier, vol. 93(P2), pages 2483-2496.
    9. Frost, Carwyn H. & Evans, Paul S. & Harrold, Magnus J. & Mason-Jones, Allan & O'Doherty, Tim & O'Doherty, Daphne M., 2017. "The impact of axial flow misalignment on a tidal turbine," Renewable Energy, Elsevier, vol. 113(C), pages 1333-1344.
    10. Borg, Mitchell G. & Xiao, Qing & Allsop, Steven & Incecik, Atilla & Peyrard, Christophe, 2022. "A numerical performance analysis of a ducted, high-solidity tidal turbine in yawed flow conditions," Renewable Energy, Elsevier, vol. 193(C), pages 179-194.
    11. 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.
    12. Galloway, Pascal W. & Myers, Luke E. & Bahaj, AbuBakr S., 2014. "Quantifying wave and yaw effects on a scale tidal stream turbine," Renewable Energy, Elsevier, vol. 63(C), pages 297-307.
    13. Zong, Haohua & Porté-Agel, Fernando, 2021. "Experimental investigation and analytical modelling of active yaw control for wind farm power optimization," Renewable Energy, Elsevier, vol. 170(C), pages 1228-1244.
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