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CFD validation of performance improvement of a 500 kW Francis turbine

Author

Listed:
  • Choi, Hyen-Jun
  • Zullah, Mohammed Asid
  • Roh, Hyoung-Woon
  • Ha, Pil-Su
  • Oh, Sueg-Young
  • Lee, Young-Ho

Abstract

Conventionally assessing of turbine performance was done by conducting model experiments which at times become costly and time consuming for several design alternatives in design optimization. Recently, computational fluid dynamics (CFD) has become a more cost effective tool for predicting detailed flow information in turbine space to enable the selection of the best design. With the growth of computational mechanics, the virtual hydraulic machines are becoming more and more realistic to get minor details of the flow, which are not possible in model testing. The inverse design technique and fully 3-dimensional flow simulations were performed early to manufacture the newly developed runner. It allows a quick and efficient improvement and optimization of turbine components. The system has been applied to the optimization of a Francis turbine runner for a turbine replacement project. In present work, 3D turbulent real flow analyses in hydraulic Francis turbine have been carried out at four guide vane opening at constant rotational speed using Ansys CFX computational fluid dynamics (CFD) software. The newly developed runner from reverse engineering and CFD results show an enhanced performance. The average values of flow parameters like velocities and flow angles at the inlet and outlet of runner, guide vane and stay vane of turbine are computed to derive flow characteristics. The aim was to analyze the flow behavior and pressure distribution to further fine-tune the whole numerical experiment to achieve the level of accuracy necessary for the concept design of a revitalized turbine. The obtained results are in good agreement with the in site experiments, especially for the characteristic curve.

Suggested Citation

  • Choi, Hyen-Jun & Zullah, Mohammed Asid & Roh, Hyoung-Woon & Ha, Pil-Su & Oh, Sueg-Young & Lee, Young-Ho, 2013. "CFD validation of performance improvement of a 500 kW Francis turbine," Renewable Energy, Elsevier, vol. 54(C), pages 111-123.
  • Handle: RePEc:eee:renene:v:54:y:2013:i:c:p:111-123
    DOI: 10.1016/j.renene.2012.08.049
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    Cited by:

    1. Štefan, David & Rossi, Mosè & Hudec, Martin & Rudolf, Pavel & Nigro, Alessandra & Renzi, Massimiliano, 2020. "Study of the internal flow field in a pump-as-turbine (PaT): Numerical investigation, overall performance prediction model and velocity vector analysis," Renewable Energy, Elsevier, vol. 156(C), pages 158-172.
    2. Li, Puxi & Xiao, Ruofu & Tao, Ran, 2022. "Study of vortex rope based on flow energy dissipation and vortex identification," Renewable Energy, Elsevier, vol. 198(C), pages 1065-1081.
    3. Chongfei Sun & Zirong Luo & Jianzhong Shang & Zhongyue Lu & Yiming Zhu & Guoheng Wu, 2018. "Design and Numerical Analysis of a Novel Counter-Rotating Self-Adaptable Wave Energy Converter Based on CFD Technology," Energies, MDPI, vol. 11(4), pages 1-21, March.
    4. Zhang, Liang & Wang, Shu-qi & Sheng, Qi-hu & Jing, Feng-mei & Ma, Yong, 2015. "The effects of surge motion of the floating platform on hydrodynamics performance of horizontal-axis tidal current turbine," Renewable Energy, Elsevier, vol. 74(C), pages 796-802.
    5. Megavath Vijay Kumar & T. Subba Reddy & P. Sarala & P. Srinivasa Varma & Obbu Chandra Sekhar & Abdulrahman Babqi & Yasser Alharbi & Basem Alamri & Ch. Rami Reddy, 2022. "Experimental Investigation and Performance Characteristics of Francis Turbine with Different Guide Vane Openings in Hydro Distributed Generation Power Plants," Energies, MDPI, vol. 15(18), pages 1-24, September.
    6. Powell, D. & Ebrahimi, A. & Nourbakhsh, S. & Meshkahaldini, M. & Bilton, A.M., 2018. "Design of pico-hydro turbine generator systems for self-powered electrochemical water disinfection devices," Renewable Energy, Elsevier, vol. 123(C), pages 590-602.
    7. Hoghooghi, Hadi & Durali, Mohammad & Kashef, Amin, 2018. "A new low-cost swirler for axial micro hydro turbines of low head potential," Renewable Energy, Elsevier, vol. 128(PA), pages 375-390.
    8. Md Rakibuzzaman & Hyoung-Ho Kim & Kyungwuk Kim & Sang-Ho Suh & Kyung Yup Kim, 2019. "Numerical Study of Sediment Erosion Analysis in Francis Turbine," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    9. Martinez, Jayson J. & Deng, Zhiqun Daniel & Mueller, Robert & Titzler, Scott, 2020. "In situ characterization of the biological performance of a Francis turbine retrofitted with a modular guide vane," Applied Energy, Elsevier, vol. 276(C).
    10. Teran, Leonel Alveyro & Larrahondo, Francisco Jose & Rodríguez, Sara Aida, 2016. "Performance improvement of a 500-kW Francis turbine based on CFD," Renewable Energy, Elsevier, vol. 96(PA), pages 977-992.
    11. Hyoung-Ho Kim & Md Rakibuzzaman & Kyungwuk Kim & Sang-Ho Suh, 2019. "Flow and Fast Fourier Transform Analyses for Tip Clearance Effect in an Operating Kaplan Turbine," Energies, MDPI, vol. 12(2), pages 1-15, January.
    12. 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.
    13. Zhu, Di & Tao, Ran & Xiao, Ruofu & Pan, Litan, 2020. "Solving the runner blade crack problem for a Francis hydro-turbine operating under condition-complexity," Renewable Energy, Elsevier, vol. 149(C), pages 298-320.
    14. Deyou, Li & Hongjie, Wang & Gaoming, Xiang & Ruzhi, Gong & Xianzhu, Wei & Zhansheng, Liu, 2015. "Unsteady simulation and analysis for hump characteristics of a pump turbine model," Renewable Energy, Elsevier, vol. 77(C), pages 32-42.
    15. Salehi, Saeed & Nilsson, Håkan, 2022. "Effects of uncertainties in positioning of PIV plane on validation of CFD results of a high-head Francis turbine model," Renewable Energy, Elsevier, vol. 193(C), pages 57-75.
    16. Du, Jiyun & Yang, Hongxing & Shen, Zhicheng & Chen, Jian, 2017. "Micro hydro power generation from water supply system in high rise buildings using pump as turbines," Energy, Elsevier, vol. 137(C), pages 431-440.

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