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Optimization methodology assessment for the inlet velocity profile of a hydraulic turbine draft tube: part I—computer optimization techniques

Author

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  • Sergio Galván
  • Carlos Rubio
  • Jesús Pacheco
  • Crisanto Mendoza
  • Miguel Toledo

Abstract

In recent years, numerical and experimental investigations on the draft tube performance have confirmed the importance of the inlet swirling flow created by the runner vanes. The results indicate that it is still a challenge to get the optimal flow distribution at the draft tube inlet which gives the best machine performance over a range of operation points. Consequently, there is a need to adjust the runner-draft tube coupling to minimize the losses arising from the inlet flow distribution. This paper focus on establishing an optimization methodology for maximizing the draft tube performance as a function of the inlet velocity profile. The overall work is divides into two parts: The part one establish the inlet velocity parametrization, the numerical optimization set-up and the objective function definition. The part two validate the numerical CFD draft tube model. These steps are represented by the coupling of the commercial softwares MATLAB, FLUENT and iSIGHT. It is considered that this proved methodology will help to find a inlet velocity profile shape which will be able to suppress or mitigate the undesirable draft tube flow characteristics. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • Sergio Galván & Carlos Rubio & Jesús Pacheco & Crisanto Mendoza & Miguel Toledo, 2013. "Optimization methodology assessment for the inlet velocity profile of a hydraulic turbine draft tube: part I—computer optimization techniques," Journal of Global Optimization, Springer, vol. 55(1), pages 53-72, January.
    • Handle: RePEc:spr:jglopt:v:55:y:2013:i:1:p:53-72
    DOI: 10.1007/s10898-012-9946-8
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    Cited by:

    1. Daniels, S.J. & Rahat, A.A.M. & Tabor, G.R. & Fieldsend, J.E. & Everson, R.M., 2020. "Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics," Renewable Energy, Elsevier, vol. 160(C), pages 112-126.
    2. Peng Song & Jinju Sun, 2019. "Cryogenic Cavitation Mitigation in a Liquid Turbine Expander of an Air-Separation Unit through Collaborative Fine-Tuned Optimization of Impeller and Fairing Cone Geometries," Energies, MDPI, vol. 13(1), pages 1-21, December.

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