Efficiency optimisation of blade shape in steam and ORC turbines

• Autorzy: Lampart P. , Witanowski Ł. , Klonowicz P.
• Języki publikacji: EN

Abstrakty

EN

This paper is devoted to direct constrained optimisation of blading systems of large power and small power turbines so as to increase their internal efficiency. The optimisation is carried out using hybrid stochastic-deterministic methods such as a combination of a direct search method of Hooke-Jeeves and simulated annealing or a combination of a bat algorithm and simplex method of Nelder-Mead. Among free shape parameters are blade number and stagger angle, stacking blade line parameters and blade section (profile) parameters. One practical example of efficiency optimisation of turbine blading systems is modification of low load profiles PLK-R2 for high pressure (HP) stages of large power steam turbines. Another optimised geometry is that of an ORC radial-axial cogeneration turbine of 50 kWe. Up to 1% efficiency increase can easily be obtained from optimization of HP blade profiles, especially by making the rotor blade more aft-loaded and reducing the intensity of endwall flows. Almost 2% efficiency rise was obtained for the optimized 50 kWe ORC turbine due to flow improvement at the suction side of the blade.

Słowa kluczowe

EN

steam turbine; ORC turbine; blading systems; optimisation; total enthalpy loss

PL

turbina parowa; turbina ORC; ułopatkowanie; optymalizacja; strata entalpii

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 2018
• Tom: Vol. 22, nr 2
• Strony: 553--564
• Opis fizyczny: Bibliogr. 28 poz., il. kolor., wykr.

Twórcy

autor

Lampart P.

• The Szewalski Institute of Fluid Flow Machinery, Polish Academy of Sciences, Gdańsk, Poland

autor

Witanowski Ł.

• The Szewalski Institute of Fluid Flow Machinery, Polish Academy of Sciences, Gdańsk, Poland

autor

Klonowicz P.

• The Szewalski Institute of Fluid Flow Machinery, Polish Academy of Sciences, Gdańsk, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).