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Computational Fluid Dynamics Analysis and Validation with Field Test of 1 MW Hydropower Turbine System

Author

Listed:
  • Ki-Ha Kim

    (Graduate School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Dong-Hyun Kim

    (Graduate School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Suk-Jin Hong

    (Graduate School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea)

  • Sang-Myung Lee

    (Korea South-East Power Co. (KOEN), Jinju 52852, Republic of Korea)

Abstract

This study analyzed and validated a 1 MW hydropower turbine system using computational fluid dynamics (CFD) in conjunction with field test data. The fluid domain of the hydropower system includes the runner blade, vane, duct, and both inflow and outflow free surface flows. An implicit unsteady flow solver and the SST k-ω turbulence model were employed. The rotational motion of the rotor blade was simulated using the moving reference frame (MRF) method. To handle a non-conformal mesh among the intake, runner, and outlet domains, an internal interface boundary condition was applied. System performance was evaluated by adjusting the guide vane opening ratio and the runner blade pitch angle. A free surface model was also developed to accurately represent the water level. The results show that the CFD analysis predicted the turbine’s power output with a maximum deviation of 1.7% from field test measurements under different tide conditions. The numerical analysis also confirmed the influence of the runner blade pitch angle, with a 1° change in pitch angle leading to a 68 kW variation in power output. The accuracy of the CFD analysis was verified by comparing it to performance data from actual field tests.

Suggested Citation

  • Ki-Ha Kim & Dong-Hyun Kim & Suk-Jin Hong & Sang-Myung Lee, 2025. "Computational Fluid Dynamics Analysis and Validation with Field Test of 1 MW Hydropower Turbine System," Energies, MDPI, vol. 18(3), pages 1-20, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:628-:d:1579916
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    References listed on IDEAS

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    1. Grzegorz Peczkis & Piotr Wiśniewski & Andriy Zahorulko, 2021. "Experimental and Numerical Studies on the Influence of Blade Number in a Small Water Turbine," Energies, MDPI, vol. 14(9), pages 1-15, May.
    2. Zhang, Guojie & Yang, Yifan & Chen, Jiaheng & Jin, Zunlong & Dykas, Sławomir, 2024. "Numerical study of heterogeneous condensation in the de Laval nozzle to guide the compressor performance optimization in a compressed air energy storage system," Applied Energy, Elsevier, vol. 356(C).
    3. Tran, Thanh Toan & Kim, Dong-Hyun, 2016. "Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach," Renewable Energy, Elsevier, vol. 92(C), pages 244-261.
    4. Raluca Gabriela Iovănel & Arash Soltani Dehkharqani & Diana Maria Bucur & Michel Jose Cervantes, 2022. "Numerical Simulation and Experimental Validation of a Kaplan Prototype Turbine Operating on a Cam Curve," Energies, MDPI, vol. 15(11), pages 1-24, June.
    5. Ke Liu & Feng Yang & Zhiyan Yang & Yunxian Zhu & Yongguang Cheng, 2019. "Runner Lifting-Up during Load Rejection Transients of a Kaplan Turbine: Flow Mechanism and Solution," Energies, MDPI, vol. 12(24), pages 1-15, December.
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