Skip to main content

Advertisement

Log in

Numerical investigation of alleviation of undesirable effect of inter-blade vortex with air admission for a low-head Francis turbine

  • Articles
  • Published:
Journal of Hydrodynamics Aims and scope Submit manuscript

Abstract

In order to compensate for the stochastic nature of the power grid due to the tremendous development and the integration of renewable energy resources and meet its other requirements, the hydraulic turbines are forced to operate more frequently under partial load conditions with singular and misaligned flows inevitably excited by the inter-blade vortex. This paper presents numerical investigations of the unsteady characteristics of the inter-blade vortex for a low-head model Francis turbine. The SST k - ω turbulent model is used to close the unsteady Reynolds-averaged Navier-Stokes (RANS) equation. The flow structure of the inter blade vortex predicted by the numerical simulation is confirmed by experimental visualizations. It is shown that the total vortex volume in the runner sees a quasi-periodical oscillation, with significant flow separations created on the suction side of the runner blade. A counter measure by using the air admission into the water from the head cover is implemented to alleviate the undesirable effect of the inter-blade vortex. The analyses show that the development of the inter-blade vortex is significantly mitigated by the injecting air that controls and changes the spatial distribution of streamlines. Furthermore, the flow aeration with a suitable air flow rate can reduce the energy dissipation caused by the inter-blade vortex and plays a critical role in preventing the excessive amplitudes of the pressure fluctuation on the suction side of the runner blade. This investigation provides an insight into the flow mechanism underlying the inter-blade vortex and offers a reference to alleviate and mitigate the adverse consequences of the inter-blade vortex for the Francis turbine.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. REN21. Renewables 2020 global status report [R]. REN21 Secretariat, 2020.

    Google Scholar 

  2. Müller A., Favrel A., Landry C. et al. Fluid-structure interaction mechanisms leading to dangerous power swings in Francis turbines at full load [J]. Journal of Fluids and Structures, 2017, 69: 56–71.

    Article  Google Scholar 

  3. Kumar P., Saini R. P. Study of cavitation in hydro turbines—A review [J]. Renewable and Sustainable Energy Reviews, 2010, 14(1): 374–383.

    Article  MathSciNet  Google Scholar 

  4. Kurosawa S., Lim S. M., Enomoto Y. Virtual model test for a Francis turbine [J]. IOP Conference Series: Earth and Environmental Science, 2010, 12(1): 012063.

    Article  Google Scholar 

  5. Luo X. W., Ji B., Tsujimoto Y. A review of cavitation in hydraulic machinery [J]. Journal of Hydrodynamics, 2016, 28(3): 335–358.

    Article  Google Scholar 

  6. Cheng H. Y., Bai X. R., Long X. P. et al. Large eddy simulation of the tip-leakage cavitating flow with an insight on how cavitation influences vorticity and turbulence [J]. Applied Mathematical Modelling, 2020, 77: 788–809.

    Article  MathSciNet  MATH  Google Scholar 

  7. Escaler X., Egusquiza E., Farhat M. et al. Detection of cavitation in hydraulic turbines [J]. Mechanical Systems and Signal Processing, 2006, 20(4): 983–1007.

    Article  Google Scholar 

  8. Liu X., Luo Y., Wang Z. A review on fatigue damage mechanism in hydro turbines [J]. Renewable and Sustainable Energy Reviews, 2016, 54: 1–14.

    Article  Google Scholar 

  9. Dorji U., Ghomashchi R. Hydro turbine failure mechanisms: An overview [J]. Engineering Failure Analysis, 2014, 44: 136–147.

    Article  Google Scholar 

  10. Goyal R., Gandhi B. K. Review of hydrodynamics instabilities in Francis turbine during off-design and transient operations [J]. Renewable Energy, 2018, 116: 697–709.

    Article  Google Scholar 

  11. Li D., Fu X., Zuo Z. et al. Investigation methods for analysis of transient phenomena concerning design and operation of hydraulic-machine systems?A review [J]. Renewable and Sustainable Energy Reviews, 2019, 101: 26–46.

    Article  Google Scholar 

  12. Li D., Wang H., Qin Y. et al. Mechanism of high amplitude low frequency fluctuations in a pump-turbine in pump mode [J]. Renewable Energy, 2018, 126: 668–680.

    Article  Google Scholar 

  13. Trivedi C., Cervantes M. J., Gandhi B. et al. Experimental investigations of transient pressure variations in a high head model Francis turbine during start-up and shutdown [J]. Journal of Hydrodynamics, 2014, 26(2): 277–290.

    Article  Google Scholar 

  14. Guo P., Wang Z., Sun L. et al. Characteristic analysis of the efficiency hill chart of Francis turbine for different water heads [J]. Advances in Mechanical Engineering, 2017, 9(2): 168781401769007.

    Article  Google Scholar 

  15. Guo P. C., Wang Z. N., Luo X. Q. et al. Flow characteristics on the blade channel vortex in the Francis turbine [J]. IOP Conference Series: Materials Science and Engineering, 2016, 129(1): 012038.

    Article  Google Scholar 

  16. Cheng H., Zhou L., Liang Q. et al. The investigation of runner blade channel vortices in two different Francis turbine models [J]. Renewable Energy, 2020, 156: 201–212.

    Article  Google Scholar 

  17. Liu D. M., Liu X. B., Zhao Y. Z. Experimental Investigation of inter-blade vortices in a model Francis turbine [J]. Chinese Journal of Mechanical Engineering, 2017, 30(4): 854–865.

    Article  Google Scholar 

  18. Liu M., Zhou L. J., Wang Z. W. et al. Investigation of channel vortices in Francis turbines [J]. IOP Conference Series: Earth and Environmental Science, 2016, 49(8): 082003.

    Article  Google Scholar 

  19. Yamamoto K., Müller A., Favrel A. et al. Numerical and experimental evidence of the inter-blade cavitation vortex development at deep part load operation of a Francis turbine [J]. IOP Conference Series: Earth and Environmental Science, 2016, 49(8): 082005.

    Article  Google Scholar 

  20. Yamamoto K., Müller A., Favrel A. et al. Guide vanes embedded visualization technique for investigating Francis runner inter-blade vortices at deep part load operation [C]. 6th IAHR International Meeting of the Workgroup on Cavitation and Dynamic Problems in Hydraulic Machinery and Systems, Ljubljana, Slovenia, 2015.

    Google Scholar 

  21. Yamamoto K., Müller A., Favrel A. et al. Experimental evidence of inter-blade cavitation vortex development in Francis turbines at deep part load condition [J]. Experiments in Fluids, 2017, 58(10): 142.

    Article  Google Scholar 

  22. Yamamoto K., Müller A., Favrel A. et al. Pressure measurements and high speed visualizations of the cavitation phenomena at deep part load condition in a Francis turbine [J]. IOP Conference Series: Earth and Environmental Science, 2014, 22(2): 022011.

    Article  Google Scholar 

  23. Magnoli M. V., Anciger D., Maiwald M. Numerical and experimental investigation of the runner channel vortex in Francis turbines regarding its dynamic flow characteristics and its influence on pressure oscillations [J]. IOP Conference Series: Earth and Environmental Science, 2019, 240(2): 022044.

    Article  Google Scholar 

  24. Magnoli M. V., Maiwald M. Influence of hydraulic design on stability and on pressure pulsations in Francis turbines at overload, part load and deep part load based on numerical simulations and experimental model test results [J]. IOP Conference Series: Earth and Environmental Science, 2014, 22(3): 032013.

    Article  Google Scholar 

  25. Bouajila S., Brammer J., Flores E. et al. Modelization and simulation of Francis turbine inter-blade vortices in partial load conditions [C]. SimHydro 2017-Choosing the Right Model in Applied Hydraulics, Nice, Francis, 2017.

    Google Scholar 

  26. Bouajila S., De Colombel T., Lowys P. Y. et al. Hydraulic phenomena frequency signature of Francis turbines operating in part load conditions [J]. IOP Conference Series: Earth and Environmental Science, 2016, 49(8): 082001.

    Article  Google Scholar 

  27. Zuo Z., Liu S., Liu D. et al. Numerical predictions of the incipient and developed interblade vortex lines of a model Francis turbine by cavitation calculations [J]. Advances in Mechanical Engineering, 2013, 5: 397583.

    Article  Google Scholar 

  28. Zuo Z. G., Liu S. H., Liu D. M. et al. Numerical analyses of pressure fluctuations induced by interblade vortices in a model Francis turbine [J]. Journal of Hydrodynamics, 2015, 27(4): 513–521.

    Article  Google Scholar 

  29. Xiao Y., Wang Z., Zhang J. et al. Numerical analysis of blade channel vortex in Francis turbine at part load of middle-low head [C]. Proceedings of the ASME Fluids Engineering Division Summer Conference, New York, USA, 2009.

    Google Scholar 

  30. Xiao Y., Wang Z., Yan Z. Experimental and numerical analysis of blade channel vortices in a Francis turbine runner [J]. Engineering Computations, 2011, 28(1–2): 154–171.

    Google Scholar 

  31. Huai W. X., Wang Z. W., Qian Z. D. et al. Numerical simulation of sandy bed erosion by 2D vertical jet [J]. Science China Technological Sciences, 2011, 54(12): 3265–3274.

    Article  MATH  Google Scholar 

  32. Li Z. W., Huai W. X., Qian Z. D. Study on the flow field and concentration characteristics of the multiple tandem jets in crossflow [J]. Science China Technological Sciences, 2012, 55(10): 2778–2788.

    Article  Google Scholar 

  33. Unterluggauer J., Maly A., Doujak E. Investigation on the impact of air admission in a prototype Francis turbine at low-load operation [J]. Energies, 2019, 12(15): 2893.

    Article  Google Scholar 

  34. Chen Z., Baek S. H., Cho H. et al. Optimal design of J-groove shape on the suppression of unsteady flow in the Francis turbine draft tube [J]. Journal of Mechanical Science and Technology, 2019, 33(5): 2211–2218.

    Article  Google Scholar 

  35. Luo X., Yu A., Ji B. et al. Unsteady vortical flow simulation in a Francis turbine with special emphasis on vortex rope behavior and pressure fluctuation alleviation [J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2017, 231(3): 215–226.

    Google Scholar 

  36. Chirkov D., Scherbakov P., Skorospelov V. et al. Numerical simulation of air injection in Francis turbine [J]. IOP Conference Series: Earth and Environmental Science, 2019, 240(2): 022043.

    Article  Google Scholar 

  37. Qian Z. D., Yang J. D., Huai W. X. Numerical simulation and analysis of pressure pulsation in francis hydraulic turbine with air admission [J]. Journal of Hydrodynamics, 2007, 19(4): 467–472.

    Article  Google Scholar 

  38. Menter F. R. Two-equation eddy-viscosity turbulence models for engineering applications [J]. AIAA Journal, 1994, 32(8): 1598–1605.

    Article  Google Scholar 

  39. Sun L., Guo P., Luo X. Numerical investigation on interblade cavitation vortex in a Franics turbine [J]. Renewable Energy, 2020, 158: 64–74.

    Article  Google Scholar 

  40. Hunt J. C. R., Wray A. A., Moin P. Eddies, streams, and convergence zones in turbulent flows [R]. Proceedings of the Summer Program. Center for Turbulent Research Report CTR-S88,1988, 193–208.

    Google Scholar 

  41. Dong X. R., Wang Y. Q., Chen X. P. et al. Determination of epsilon for Omega vortex identification method [J]. Journal of Hydrodynamics, 2018, 30(4): 541–548.

    Article  Google Scholar 

  42. Liu C., Gao Y. S., Dong X. R. et al. Third generation of vortex identification methods: Omega and Liutex/Rortex based systems [J]. Journal of Hydrodynamics, 2019, 31(2): 205–223.

    Article  Google Scholar 

  43. Zhang Y., Liu K., Xian H. et al. A review of methods for vortex identification in hydroturbines [J]. Renewable and Sustainable Energy Reviews, 2018, 81(Part 1): 1269–1285.

    Article  Google Scholar 

  44. Zhang Y. N., Liu K. H., Li J. W. et al. Analysis of the vortices in the inner flow of reversible pump turbine with the new omega vortex identification method [J]. Journal of Hydrodynamics, 2018, 30(3): 463–469.

    Article  Google Scholar 

  45. Zhang Y. N., Qiu X., Chen F. P. et al. A selected review of vortex identification methods with applications [J]. Journal of Hydrodynamics, 2018, 30(5): 767–779.

    Article  Google Scholar 

  46. Zhang Y. N., Wang X. Y., Zhang Y. N. et al. Comparisons and analyses of vortex identification between Omega method and Q criterion [J]. Journal of Hydrodynamics, 2019, 31(2): 224–230.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Key Research and Development Program of Shaanxi Province (Grant No. 2017ZDXM-GY-081), the Scientific Research Program of Shaanxi Provincial Education Department (Grant No. 17JF019), the Scientific Research Program of Engineering Research Center of Clean Energy and Eco-hydraulics in Shaanxi Province (Grant Nos. QNZX-2019-05, QNZX-2019-06) and the Youth Innovation Team of Shanxi Universities (Grant No. 2020-29).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng-cheng Guo.

Additional information

Project supported by the National Natural Science Foundation of China (Grant No. 51839010).

Biography: Long-gang Sun (1988-), Male, Ph. D. Candidate

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, Lg., Guo, Pc. & Wu, Lc. Numerical investigation of alleviation of undesirable effect of inter-blade vortex with air admission for a low-head Francis turbine. J Hydrodyn 32, 1151–1164 (2020). https://doi.org/10.1007/s42241-020-0081-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42241-020-0081-6

Key words

Navigation