Improvement of technical and economic indicators of steam turbine plants: improvement of installation, commissioning and operation.

Key words: steam turbine, steam turbine plant, combined cycle power plant, industrial heating, life cycle, updating commissioning and operation, modular design, algorithms for operation, improvement of efficiency

Abstract

The article shows the importance of analyzing the possibilities and increasing the recoverable technical and economic effect from the introduction and improvement of the design and schemes of steam turbine plants at the stages of the equipment life cycle after the design and technological preparation of production.

The author examines the issues of improving the life cycle of the main and auxiliary equipment of the Steam turbine plants at its different stages through the introduction of technical solutions for regime optimization. An example of solving the problem of increasing the efficiency of the exhaust gas temperature reduction system of a HRSG while increasing the power and efficiency of a heating plant by reducing the power consumed for circulating water pumping through a condensate cooler is described.

The issues of improving the design of the main and auxiliary equipment, improving technical and economic indicators at all stages of the life cycle are important, including at the stages of installation, commissioning and operation, there is a significant potential for improvement and obtaining a large absolute economic effect.

Calculation and experimental determination of the maximum technical and economic indicators of steam turbine equipment with possible joint and autonomous operation in variable modes with the development of algorithms for operation with automatic or semi-automatic maintenance of indicators at the established optimal level are necessary.

 

 

Efficiency analysis and optimization of MGT-30 gas turbine operation under various conditions

using inlet air precooling systems.

Key words: efficiency, operational characteristics, gas turbine MGT-30, precooling, optimization

Abstract

The study presents an analysis of the impact of different air-cooling systems on the efficiency and power of the compressor in the MGT-30 gas turbine unit (GTU). The MGT-30, manufactured by the Iranian company Mapna Group Company, serves as a driver for various applications, including gas booster units, pumps, ejectors, and stationary or mobile power plants in Iran.

A significant milestone was reached in October 2022 with the signing of an export agreement between Iran and the Russian Federation for the supply of 40 units of GTU, marking a historic moment in the country's technological export endeavors.

The objective of this research is to determine the optimal parameters of the incoming air to the compressor and its associated cooling systems. The calculations and optimization of the operating parameters of the MGT-30 were conducted using MATLAB, GT PRO software, and the specialized A2GTP program for the assessment of technical characteristics.

The results obtained from the study demonstrate the favorable influence of incorporating a pre-cooling system for the air, showcasing improvements in the thermal efficiency of the GTU and uncovering potential avenues for further enhancement.

 

 

Strength investigation of stage B rotor blade of GTN-16 axial compressor by Finite Element Method in Fidesys CAE system.

Key words: disk, Ansys, static calculation, modal analysis, Campbell diagram, natural frequency

Abstract

The paper describes the loads acting on the rotor blades during engine operation, as well as the methods used to assess the strength of the impeller. An analysis of the results of static and modal calculations of a working blade with a disk of an axial compressor of a GTN-16 gas turbine plant in the domestic Fidesys CAE system by the finite element method is presented.

Also, the calculation data were verified using the Ansys software package, as the most common system in the world for the numerical simulation of physical processes. Pictures of the stress-strain

state of the blade with the disk are obtained.

The zones of stress concentration in the model are identified and the safety factors of the blade and disk are determined. The six first frequencies of natural oscillations of the structure are found and the Campbell diagram is constructed.

Possible options for improving the vibration reliability of the design of the considered axial compressor are outlined. A comparative analysis of the results of finite element modeling in the Fidesys and Ansys software systems was carried out.

 

 

Verification of the software methodology for calculating the strength of axial compressor discs.

Key words: axial compressor, disk, strength calculation, software methodology

Abstract

The purpose of this work was to create a program based on the methods of classical strength theory and compare the results obtained with the results of numerical calculation in the Ansys software package. In the course of the study, digital tests were performed on the strength of the axial compressor disk at different revolutions and stress distribution graphs were obtained along the radius of the design area.

The main calculation methods are based on empirical methods. They include a long analysis of the system under study, preparation of calculation schemes, conducting sequential calculations according to formulas and subsequent processing of the results obtained. To automate this process, simplify obtaining input and output parameters, the use of programming languages has become widely used. With the help of programming languages, it is possible to fully automate the calculation process, the researcher is only required to set the necessary initial conditions.

In the course of the work, the stress calculation was performed in a special software written in the Python programming language. By superimposing the values of the points in the control sections calculated according to the program on the stress distribution graph along the radius, the model was verified.

 

 

A digital approach to the detection and evaluation of the impact of blade row defects on the characteristics of turbomachines.

Key words: defect, blade row, axial turbomachines, machine learning, neural network, YOLOv8s, numerical experiment

Abstract

The present study is aimed at developing approaches to detecting and classifying defects in the blade apparatus of turbomachines and assessing the manifestation of defects on the characteristics of the installation. The relevance of the work is connected with the use of digital technologies in the problem of defectoscopy of the blade row apparatus.

In the course of the study, a YOLOv8s convolutional neural network model was prepared and trained on two data sets: with artificially visualized images of defects and photographs of blades after operation. Based on the analysis of the results of training and testing of the YOLOv8s model on a database with artificial images of defects in the blade row, an accuracy of 97.8% was achieved. On the prepared real data set, YOLOv8s has an average accuracy of mAP0.5 = 0.84.

The paper also describes an approach to assessing the effect of blade defects on the characteristics of turbomachines based on the results of numerical experiments and the use of machine learning methods to predict the development of defects or evaluate changes in the characteristics of turbomachines with defects.

The study shows the promise of using a digital approach to detecting and evaluating the impact of blade defects on the performance of turbomachines.