On a method of efficiency increasing in Kaplan turbine

• Autorzy: Banaszek M. , Tesch K.
• Konferencja: International Symposium on Compressor and Turbine Flow Systems - Theory and Application Areas "SYMKOM" (10 ; 26-28.10.2011 ; Łódź, Polska)
• Języki publikacji: EN

Abstrakty

EN

This paper presents a method of increasing efficiency in Kaplan-type turbine. The method is based on blade profile optimisation together with modeling the interaction between rotor and stator blades. Loss coefficient was chosen as the optimisation criterion, which is related directly to efficiency. Global optimum was found by means of Genetic Algorithms, and Artificial Neural Networks were utilized for approximations to reduce long calculation time.

Słowa kluczowe

EN

CFD; computational fluid dynamics CFD; Kaplan turbine; optimisation

PL

obliczeniowa dynamika płynów; optymalizacja

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Zeszyty Naukowe. Cieplne Maszyny Przepływowe - Turbomachinery / Politechnika Łódzka
• Rocznik: 2011
• Tom: nr 140
• Strony: 29--38
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Banaszek M.

autor

Tesch K.

• Gdańsk Univeristy of Technology,

Bibliografia

• [1] Banaszek M. and Tesch K., Rotor Blade Geometry Optimisation in Kaplan Turbine, TASK Quarterly, 2010, Vol. 14, No. 3, pp. 39-55.
• [2] Banaszek M. and Tesch K., On Some Method of Flow Configuration Optimisation in Kaplan Turbine, Computer Methods in Mechanics (CMM-2011), 2011, Warsaw, Poland.
• [3] Banaszek M. and Tesch K., A Method for Optimising the Blade Profile in Kaplan Turbine, The 9th European Conference on Turbomachinery, Fluid Dynamics and Thermodynamics (ETC 9), 2011, Istanbul, Turkey.
• [4] Banaszek M. and Tesch K., Blade Shape Optimisation for Rotor-Stator Interaction in Kaplan Turbine, 2nd International Conference on Engineering Optimization (EngOpt 2010), 2010, Lisbona, Portugal.
• [5] Jones W. and Launder B., The prediction of laminarization with a two-equation model of turbulence, Int. J. Heat Mass Transfer, 1972, Vol. 15, No. 2, pp. 301-314.
• [6] Kecman V., Learning and Soft Computing, The MIT Press, 2001.
• [7] Michalewicz Z., Genetic Algorithms + Data Structures = Evolution Programs, 1996, Springer.
• [8] Pope S.B., Turbulent Flows, Cambridge University Press, 2000.
• [9] Wilcox D.C., Turbulence Modeling for CFD, 1994, DCW Industries.