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Effect of the Parameters of a Computational Model on the Prediction of Hydraulic Turbine Characteristics

  • HYDROTECHNICAL CONSTRUCTION
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Power Technology and Engineering Aims and scope

The accuracy with which the local and integrated parameters of hydraulic turbines can be predicted depends on a correct choice of the parameters for the computational mathematical model. In the first part of this paper we choose a set of basic parameters (type of computational grid, turbulence model, impeller-stator interface) based the solution of problems for which experimental data are available. In the second part we calculate the energy characteristics of Francis and Kaplan turbines. Features of the calculations and data processing for hydraulic turbines are pointed out and the results of the mathematical model are compared with experimental data. Model results for cavitation and runup tests are shown. The statement of the problem is described and the computational results are compared with experimental data.

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References

  1. E. V. Gutovskii and A. Yu. Kolton, Theory and Hydrodynamic Design of Hydraulic Turbines [in Russian], Mashinostroenie, Leningrad (1974).

  2. A. A. Zharkovskii, Mathematical Modelling of Working Processes in Low and Medium Speed Centrifugal Pumps for Solution of Automatic Design Problems. Doctoral Thesis [in Russian], St. Petersburg State Polytechnical University (2003).

  3. N. N. Kovalev, Hydraulic Turbines. Construction and Problems in Design [in Russian], Mashinostroenie, Leningrad (1971), pp. 375 – 379.

  4. Jošt Dragica, Andrej Lipej, and Peter Meznar, “Numerical prediction of efficiency, cavitation, and unsteady phenomena in water turbines,” in: 9th Biennial ASME Conf. on Engineering System Design and Analysis, Haifa, Israel (2008).

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Correspondence to A. Yu. Pospelov.

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Translated from Gidrotekhnicheskoe Stroitelstvo, No. 3, March 2015, pp. 2 – 7.

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Pospelov, A.Y., Zharkovskii, A.A. Effect of the Parameters of a Computational Model on the Prediction of Hydraulic Turbine Characteristics. Power Technol Eng 49, 159–164 (2015). https://doi.org/10.1007/s10749-015-0591-5

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  • DOI: https://doi.org/10.1007/s10749-015-0591-5

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