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Method of object-oriented modeling of steam turbine plants taking into account variations in turbine efficiency under variable operating modes
https://doi.org/10.24223/1999-5555-2023-16-1-34-40
Abstract
The article proposes an object-oriented method for modeling steam turbine plants. The novelty of the method is in the application of a steam turbine model that takes into account variations in internal efficiency under variable operating modes.
The article presents the results of theoretical substantiation of nonlinear dependence of the power of the turbine compartments on the steam flow passing through them, based on the change in the internal efficiency of the stages under variable modes described by the Stodola-Flugel equation. An empirical dependence of the efficiency of the stage operation on the relative steam consumption is proposed. Recommendations on the use of empirical form in the development of models of steam turbine compartments are given. The empirical dependences of the relative internal efficiency of turbine compartments obtained from the results of thermal tests of an operating turbine unit are presented.
As a factor of practical significance of the research, a model of PT-60-130/13 type steam turbine plant has been developed involving the use of an object-oriented programming language. Recommendations on the description of classes of objects within the steam turbine plant. The developed STP model enables to simulate any operating modes depending on electrical and thermal loads, as well as to take into account the influence of deviations of external factors from nominal values when developing a system of corrections or estimating an increase in fuel consumption associated with these deviations.
About the Author
A. Y. Gubarev
Samara State Technical University
Russian Federation
Russian Federation
443100 Molodogvardeyskaya str., 244, Samara
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Review
For citations:
Gubarev A.Y. Method of object-oriented modeling of steam turbine plants taking into account variations in turbine efficiency under variable operating modes. Safety and Reliability of Power Industry. 2023;16(1):34-40. (In Russ.) https://doi.org/10.24223/1999-5555-2023-16-1-34-40
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