Parametrical Diagnostics of Gas Turbine Performance on Site at Gas Pumping Plants Based on Standard Measurements

Author:

Komarov Oleg V.1,Sedunin Viacheslav A.1,Blinov Vitaly L.1,Skorochodov Alexander V.1

Affiliation:

1. Ural Federal University, Yekaterinburg, Russia

Abstract

The operation and maintenance of gas pumping units at the Gazprom transport systems are carried according to the current number of equivalent working hours of the gas turbine and the centrifugal natural gas compressor. Modern concepts of lean production requires maintenance procedures are to be done according to the current technical operating performance of units and its parametrical diagnostics. To meet these requirements an appropriate research project is ongoing at Ural Federal University. In this article a methodology for the technical performance estimation of GTU’s is proposed, verified and discussed. The method is based on processing of data gathered from standard thermodynamic measurements and therefore is applicable in the frame of most gas turbine units without major modifications. The method includes a verified high-order mathematical model based on the Gas dynamic function for the precise analytical description of turbomachinery aerodynamics. A correction factor is introduced for adjusting the mathematical model in case of a non-traditional (not optimised) design applied in the exact turbine design. Models are defined for different types of multi-shaft GT’s and an automated algorithm for calculation of the coefficients of technical performance of the overall unit is provided. A series of experiments showed convergence between traditional and new methods in effective power output and efficiency of units does not exceed 2%. Special software is designed for online monitoring of technical performance.

Publisher

American Society of Mechanical Engineers

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of the Condition of a Gas Turbine System. 1. Analysis of Measurement Data;Russian Engineering Research;2023-06

2. Statement of the problem for the numerical study of an axial compressor with defective blades;THE INTERNATIONAL CONFERENCE ON BATTERY FOR RENEWABLE ENERGY AND ELECTRIC VEHICLES (ICB-REV) 2022;2023

3. Estimation of gas turbine power using linear machine learning methods;THE INTERNATIONAL CONFERENCE ON BATTERY FOR RENEWABLE ENERGY AND ELECTRIC VEHICLES (ICB-REV) 2022;2023

4. Special aspects of numerical simulation of a two-stage axial-flow compressor with defective blades;VESTNIK of Samara University. Aerospace and Mechanical Engineering;2022-01-19

5. Technical Condition Assessment of the Gas Turbine Units with Free Power Turbine;Lecture Notes in Mechanical Engineering;2022

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