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Detailed flow measurement of the field around tidal turbines with and without biomimetic leading-edge tubercles

Author

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  • Shi, Weichao
  • Atlar, Mehmet
  • Norman, Rosemary

Abstract

This paper focuses on implementing detailed flow measurement using advanced Particle Image Velocimetry (PIV) system to investigate the flow mechanism of leading-edge tubercles on tidal turbine blades. Two approaches have been applied: one is 2D PIV to map the flow separation around the blade sections at different radial positions; and the other is Stereo PIV to conduct a volumetric measurement in the wake field to reveal the tip vortex development and also velocity distribution. The research presented in this paper further demonstrates that the leading-edge tubercles can enable the flow to remain attached to the blades and weaken the three dimensional effect which can lead to efficiency loss or the so-called “tip loss”. Based on these phenomena that have been observed and concluded from the tests, the mechanism by which leading-edge tubercles can provide additional torque and thrust for a tidal turbine has been explained within this paper.

Suggested Citation

  • Shi, Weichao & Atlar, Mehmet & Norman, Rosemary, 2017. "Detailed flow measurement of the field around tidal turbines with and without biomimetic leading-edge tubercles," Renewable Energy, Elsevier, vol. 111(C), pages 688-707.
    • Handle: RePEc:eee:renene:v:111:y:2017:i:c:p:688-707
    DOI: 10.1016/j.renene.2017.04.053
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    Citations

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    Cited by:

    1. Yeo, Eng Jet & Kennedy, David M. & O'Rourke, Fergal, 2022. "Tidal current turbine blade optimisation with improved blade element momentum theory and a non-dominated sorting genetic algorithm," Energy, Elsevier, vol. 250(C).
    2. Chen, Yaling & Lin, Binliang & Sun, Jian & Guo, Jinxi & Wu, Wenlong, 2019. "Hydrodynamic effects of the ratio of rotor diameter to water depth: An experimental study," Renewable Energy, Elsevier, vol. 136(C), pages 331-341.
    3. Fan, Menghao & Sun, Zhaocheng & Dong, Xiangwei & Li, Zengliang, 2022. "Numerical and experimental investigation of bionic airfoils with leading-edge tubercles at a low-Re in considering stall delay," Renewable Energy, Elsevier, vol. 200(C), pages 154-168.
    4. Nuernberg, M. & Tao, L., 2018. "Experimental study of wake characteristics in tidal turbine arrays," Renewable Energy, Elsevier, vol. 127(C), pages 168-181.
    5. Masood, Zahid & Khan, Shahroz & Qian, Li, 2021. "Machine learning-based surrogate model for accelerating simulation-driven optimisation of hydropower Kaplan turbine," Renewable Energy, Elsevier, vol. 173(C), pages 827-848.

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