Back to Search Start Over

Experience in Automating Calculations of Technical and Economic Indicators of Steam Turbine Units of Mosenergo Thermal Power Plants Based on Test Data to Determine Their Actual Technical Condition.

Authors :
Grishin, I. A.
Radin, Yu. A.
Source :
Power Technology & Engineering; Sep2024, Vol. 58 Issue 3, p494-499, 6p
Publication Year :
2024

Abstract

Diagrams of the modes of steam turbine units are used in power plants when current technical conditions must be assessed according to the criteria of their thermal efficiency. Moreover, if for condensing turbines such diagrams degenerate into a linear dependence of power on steam flow into the turbine, then for heating steam turbines, they allow determining the power of the steam turbine and the amount of heat from its extraction at various possible ratios. To date, the so-called digitization of regulatory technical documentation data and experimental data obtained as a result of testing has become relevant for the analysis of technological processes in steam turbines. This article presents the automated charting of steam turbine modes using software developed based on the MS Excel software package. Such processing results in so-called user functions that significantly speed up data processing, perform calculations when constructing nomograms, and facilitate the search for technical solutions to optimize the technology of operation and determine reserves of thermal efficiency. In addition, such a technique can be used to analyze the efficiency of steam turbine installations when they operate in various modes using calculation schemes, which reduces the number of tests and thereby reduces the complexity of surveys without losing the accuracy of the results. The results can be used as input data for the predictive analysis of the occurrence and development of damage in equipment parts, as well as for the development of recommendations to improve their efficiency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1570145X
Volume :
58
Issue :
3
Database :
Complementary Index
Journal :
Power Technology & Engineering
Publication Type :
Academic Journal
Accession number :
179813826
Full Text :
https://doi.org/10.1007/s10749-024-01836-5