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Hydrodynamic optimization of pump-turbine runner Full article

Conference XXXIX Сибирский теплофизический семинар, посвященный 90-летию академику А.К.Реброва
28-31 Aug 2023 , Новосибирск, институт теплофизики им. С.С.Кутателадзе СОРАН
Source Всероссийская конференция "XXXIX Сибирский теплофизический семинар", посвященный 90-летию академика А.К. Реброва, 28 – 31 августа 2023, Новосибирск. Тезисы докладов
Compilation, 2023. 369 c. ISBN 9785890170835.
Journal E3S Web of Conferences
ISSN: 2555-0403 , E-ISSN: 2267-1242
Output data Year: 2023, Volume: 459, Article number : 02004, Pages count : 6 DOI: 10.1051/e3sconf/202345902004
Authors Chirkov Denis 1 , Skorospelov Vladimir 2 , Turuk Polina 2 , Rigin Valeriy 3 , Ustimenko Alexander 3
Affiliations
1 Kutateladze Institute of Thermophysics SB RAS
2 Sobolev Institute of Mathematics SB RAS
3 JSC Power Machines

Abstract: The paper suggests the approach to automatic CFD-based optimization of the pump-turbine runner. An in-house 3D flow solver CADRUN is used for the solution of steady-state RANS equations and evaluation of objective functions in representative operating points of turbine and pump operating regimes. Both efficiency and cavitation characteristics are taken into account. Two approaches have been considered, resulting in 4- and 3-objective shape optimization problems. These problems were solved using multi-objective genetic algorithm. It was shown that the obtained optimized runners feature increased efficiency both in turbine and pump mode with cavitation performance, similar to that of the initial runner.
Cite: Chirkov D. , Skorospelov V. , Turuk P. , Rigin V. , Ustimenko A.
Hydrodynamic optimization of pump-turbine runner
In compilation Всероссийская конференция "XXXIX Сибирский теплофизический семинар", посвященный 90-летию академика А.К. Реброва, 28 – 31 августа 2023, Новосибирск. Тезисы докладов. 2023. – ISBN 9785890170835. DOI: 10.1051/e3sconf/202345902004 Scopus РИНЦ OpenAlex
Dates:
Published print: Nov 29, 2023
Published online: Nov 29, 2023
Identifiers:
Scopus: 2-s2.0-85182773625
Elibrary: 64346299
OpenAlex: W4389384907
Citing: Пока нет цитирований
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