Инд. авторы:	Semenova A., Chirkov D., Lyutov A., Cherny S., Skorospelov V., Pylev I.
Заглавие:	Multi-objective shape optimization of runner blade for Kaplan turbine
Библ. ссылка:	Semenova A., Chirkov D., Lyutov A., Cherny S., Skorospelov V., Pylev I. Multi-objective shape optimization of runner blade for Kaplan turbine // IOP Conference Series: Earth and Environmental Science. - 2014. - Vol.22. - Art.012025. - ISSN 1755-1307. - EISSN 1755-1315.
Внешние системы:	DOI: 10.1088/1755-1315/22/1/012025; РИНЦ: 24021411; SCOPUS: 2-s2.0-84919681466; WoS: 000347441900025;
Реферат:	eng: Automatic runner shape optimization based on extensive CFD analysis proved to be a useful design tool in hydraulic turbomachinery. Previously the authors developed an efficient method for Francis runner optimization. It was successfully applied to the design of several runners with different specific speeds. In present work this method is extended to the task of a Kaplan runner optimization. Despite of relatively simpler blade shape, Kaplan turbines have several features, complicating the optimization problem. First, Kaplan turbines normally operate in a wide range of discharges, thus CFD analysis of each variant of the runner should be carried out for several operation points. Next, due to a high specific speed, draft tube losses have a great impact on the overall turbine efficiency, and thus should be accurately evaluated. Then, the flow in blade tip and hub clearances significantly affects the velocity profile behind the runner and draft tube behavior. All these features are accounted in the present optimization technique. Parameterization of runner blade surface using 24 geometrical parameters is described in details. For each variant of runner geometry steady state three-dimensional turbulent flow computations are carried out in the domain, including wicket gate, runner, draft tube, blade tip and hub clearances. The objectives are maximization of efficiency in best efficiency and high discharge operation points, with simultaneous minimization of cavitation area on the suction side of the blade. Multiobjective genetic algorithm is used for the solution of optimization problem, requiring the analysis of several thousands of runner variants. The method is applied to optimization of runner shape for several Kaplan turbines with different heads.
Издано:	2014
Физ. характеристика:	012025
Цитирование:	1. Goldberg, E E 1989 Genetic algorithms in search optimization and machine learning (Addison Wesley, New York) 2. Sallaberger I, Fisler M, Michaud M, Eisele K, Casey M 2000 The Design of Francis Turbine Runners by 3D Euler Simulations Coupled to a BreederGenetic Algorithm IAHR Symp. Hydraulic Machinery Syst. 3. Lipej A, Poloni C 2000 Design of Kaplan runner using multiobjective genetic algorithm optimization J. Hydraulic Research. 38 (1) 73-79 4. Tomas L, Pedretti C, Chiappa T, Francois M, Stoll P 2002 Automated design of a Francis turbine runner using global optimization algorithms IAHR Symp. Hydraulic Machinery Syst. 5. Cherny S G, Bannikov D V, Chirkov D V, Demianov V A, Pylev I M, Skorospelov V A and Stepanov V N 2008 Automatic optimal shape design of hydroturbine flow passage Proc. of Hydro 2008 International Conference (Ljubljana, Slovenia, 6-8 October 2008) 6. Skotak A, Mikulasek J and Obrovsky J 2009 Development of The New High Specific Speed Fixed Blade Turbine Runner Int. J. Fluid Machinery Syst. 2 (4) 392-399 7. Nakamura K and Kurosawa S 2009 Design Optimization of a High Specific Speed Francis Turbine Using Multi-Objective Genetic Algorithm Int. J. Fluid Machinery Syst. 2 (2) 102-109 8. Pilev I M, Sotnikov A A, Rigin V E, Semenova A V, Cherny S G, Chirkov D V, Bannikov D V and Skorospelov V A 2012 Multiobjective optimal design of runner blade using efficiency and draft tube pulsation criteria Proc. of the 26th IAHR Symp. (Beijing, China) 9. Lim S M, Ohtake N, Kurosawa S, Suzuki T, Yamasaki T and Nishi H 2012 Development of low head Kaplan turbine for power station rehabilitation project IAHR Symp. Hydraulic Machinery Syst. 10. Sotnikov A, S Cherny, DV Chirkov, D Bannikov 2011 Two Approaches to Prediction of Hill Diagram for Francis Turbine Proceedings of Hydro Vision Russia - 2011 (Moscow, Russia) p 1-15 11. Topaj G I 1989 Computation of Integral Hydraulic Characteristics of Hydromachines (Leningrad: Publishing house of Leningrad University)