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Effect of flow rate on performance and flow field of an undershot cross-flow water turbine

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  • Nishi, Yasuyuki
  • Yahagi, Yuichiro
  • Okazaki, Takashi
  • Inagaki, Terumi

Abstract

Undershot cross-flow water turbines are characterized by their being easily applicable to open channels with various widths and depths by changing their blade width and/or the outer diameter of the runner. On the other hand, as this water turbine operates in a free-surface flow field, it is expected that when the flow rate changes, the flow field around the runner including the water depth changes dramatically, and that the turbine performance also changes. Thus, the objective of this study is to elucidate the effect of flow rate on the performance and flow field of an undershot cross-flow water turbine. By changing the flow rate, we conduct experiments and free surface flow analysis on the water turbine, as well as torque component analysis. The result showed that, among the torques in the respective flow regions, that torque resulting from the second stage cross-flow was dominant. Furthermore, it was found that among the respective dynamic components of the torque, the most dominant component was the gravitational component for low flow rates and the angular momentum component for medium-to-high flow rates. We expect these results to contribute to the establishment of higher performance design guidelines, such as optimum shapes for the flow rates.

Suggested Citation

  • Nishi, Yasuyuki & Yahagi, Yuichiro & Okazaki, Takashi & Inagaki, Terumi, 2020. "Effect of flow rate on performance and flow field of an undershot cross-flow water turbine," Renewable Energy, Elsevier, vol. 149(C), pages 409-423.
  • Handle: RePEc:eee:renene:v:149:y:2020:i:c:p:409-423
    DOI: 10.1016/j.renene.2019.12.023
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    References listed on IDEAS

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    Cited by:

    1. Cleynen, Olivier & Engel, Sebastian & Hoerner, Stefan & Thévenin, Dominique, 2021. "Optimal design for the free-stream water wheel: A two-dimensional study," Energy, Elsevier, vol. 214(C).
    2. Abhishekkumar Shingala & Olivier Cleynen & Aman Jain & Stefan Hoerner & Dominique Thévenin, 2022. "Genetic Optimisation of a Free-Stream Water Wheel Using 2D Computational Fluid Dynamics Simulations Points towards Design with Fully Immersed Blades," Energies, MDPI, vol. 15(10), pages 1-20, May.

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