Technique for designing and optimization of the Francis turbine blade system

Authors

DOI:

https://doi.org/10.25206/2588-0373-2023-7-1-47-54

Keywords:

Francis turbine, Blade system, Multi-objective Genetic Algorithm, Mathematical model, cavitation

Abstract

A technique for designing the blade systems of Francis turbine is proposed. Starting with the determination
the main parameters of the turbine components, where it is compatible with the operation of a hydraulic
turbine at a given head. Also, the diameter of the impeller required to generate the nominal power. Then,
using the realizing of the quasi-three-dimensional approach, the shape of the blade is obtained as a
first approximation for a given blade, a series of calculations of three-dimensional single-phase and twophase
viscous flow is performed to determine the efficiency of the turbine at different operating modes,
the cavitation properties of the turbine, respectively. The critical cavitation coefficient is determined
for three operating points of hydraulic turbines. Using Multi-objective Genetic Algorithm (MOGA),
the optimization of energy and cavitation properties is carried out for three operations pointes. The
mathematical model is based on the Latin hypercube method. As a result of the optimization, a significant
improvement in the efficiency of the hydraulic turbine has been obtained, especially at partial loads.

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Author Biographies

Mohammad omran, Peter the Great St. Petersburg Polytechnic University, Russia, Saint Petersburg

Postgraduate student, Higher School of Power Engineering, Institute of Power Engineering, Peter the Great St. Petersburg Polytechnic University  

Alexander Arkadyevich Zharkovskiy, Peter the Great St. Petersburg Polytechnic University, Russia, Saint Petersburg

Doctor of Technical Sciences, Professor of Higher School of Power Engineering, Institute of Energy, SPbPU, Saint Petersburg.

Vasiliy Alekseyevich Schur, Peter the Great St. Petersburg Polytechnic University, Russia, Saint Petersburg

Candidate of Technical Sciences, Associate Professor of Higher School of Power Engineering, Institute of Energy, SPbPU, Saint Petersburg.

Dmitriy Gennadyevich Svoboda, Peter the Great St. Petersburg Polytechnic University, Russia, Saint Petersburg

Candidate of Technical Sciences, Associate Professor of Higher School of Power Engineering, Institute of Energy, SPbPU, Saint Petersburg.

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Abstract views: 83

Published

2023-03-23

How to Cite

omran М., Zharkovskiy А. А., Schur В. А., & Svoboda Д. Г. (2023). Technique for designing and optimization of the Francis turbine blade system. Omsk Scientific Bulletin. Series «Aviation-Rocket and Power Engineering», 7(1), 47–54. https://doi.org/10.25206/2588-0373-2023-7-1-47-54

Issue

Vol. 7 No. 1 (2023)

Section

Power and chemical engineering

License

Non-exclusive rights to the article are transferred to the journal in full accordance with the Creative Commons License BY-NC-SA 4.0 «Attribution-NonCommercial-ShareAlike 4.0 Worldwide License (CC BY-NC-SA 4.0»)

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