Разработка модели утилизационной газовой турбины

Abstract

The demand for electricity is growing due to industry development in the world. Thus, the issue to obtain energy using installations that use secondary energy resources is relevant. In this regard, it is important to carry out the research on the operation of such installations. There are many ways to study the operation of turbines as one of the types of installations that uses secondary energy resources. For this purpose, such visual environment as ANSYS allows you to get a visual 3D representation of the turbine operation. Thus, an urgent task is to develop a numerical determined turbine model in the ANSYS CFX package and then adapt it based on experimental data. The model based on numerical experiments can be used to find ways to increase the electricity output. The top-pressure recovery turbine GUBT-25 is chosen as the object of the research. During the research the professional analytical ANSYS CFX software has been used to solve thermal-, hydro-, and gas-dynamic problems. Also, such software module as BladeGen is applied to design a solid-state model and TurboGrid is to create a grid. ANSYS CFX software uses the following basic equations for the numerical solution of the gas expansion problem in a turbine: the energy equation, the momentum equation, and the continuity equation. For the first time a numerical determined model of the GUBT-25 turbine has been developed in the ANSYS CFX analytical software. Also, a preliminary verification of the model has been carried out based on the results of the industrial experiment conducted at the OJSC “Severstal” turbine. In addition, to demonstrate the capabilities of the model the article graphically presents such characteristics as distribution of temperature and velocity in the first stage of the turbine. The developed numerical model of the GUBT-25 turbine has series of restrictions that affect the simulation results. The results of comparing the data obtained during the simulation differ from the experimental data. In case the model is more complicated, it will be possible to simulate the real processes of GUBT-25 more accurately.