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A review of gas turbine flow path analysis - From paper calculation to artificial neural networks

Genrup, Magnus LU ; Assadi, Mohsen LU and Torisson, Tord LU (2002) Proceedings of the ASME TURBO Expo 2002:Controls, Diagnostics, and Instrumentation, Cycle Innovations, Marine, Oil and Gas Applications In American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI 2 A. p.75-82
Abstract
Today many methods are available for gas turbine flow path analysis. Some of them are very simple but yet very useful, since they give an indication of the compressor capacity with almost no calculation effort. The state of the art today is the heat and mass balance models (HMB), which are more sophisticated. This paper presents a general overview of these methods, including the most recent trend, Artificial Neural Networks (ANN). In the future, the ANN-based flow path analysis system will probably, to some extent, replace the HMB-based systems, or become a complementary tool for monitoring and performance analysis of power production units. This paper will give a comprehensive explanation of how to build a flow path analysis system in an... (More)
Today many methods are available for gas turbine flow path analysis. Some of them are very simple but yet very useful, since they give an indication of the compressor capacity with almost no calculation effort. The state of the art today is the heat and mass balance models (HMB), which are more sophisticated. This paper presents a general overview of these methods, including the most recent trend, Artificial Neural Networks (ANN). In the future, the ANN-based flow path analysis system will probably, to some extent, replace the HMB-based systems, or become a complementary tool for monitoring and performance analysis of power production units. This paper will give a comprehensive explanation of how to build a flow path analysis system in an equation-solving package (e.g. spreadsheet program), by using relationships presented here. This may give a system that is well within the capabilities of most commercially available systems, used and developed by consultant companies (third party companies). (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Flow path analysis, Heat and mass balance models
in
American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI
volume
2 A
pages
75 - 82
publisher
American Society Of Mechanical Engineers (ASME)
conference name
Proceedings of the ASME TURBO Expo 2002:Controls, Diagnostics, and Instrumentation, Cycle Innovations, Marine, Oil and Gas Applications
external identifiers
  • Other:CODEN: AMGIE8
  • Scopus:0037003554
language
English
LU publication?
yes
id
f69b5b7b-38cd-4e9c-a851-6b352ac07044 (old id 611728)
date added to LUP
2007-11-27 13:37:53
date last changed
2016-10-13 04:39:16
@misc{f69b5b7b-38cd-4e9c-a851-6b352ac07044,
  abstract     = {Today many methods are available for gas turbine flow path analysis. Some of them are very simple but yet very useful, since they give an indication of the compressor capacity with almost no calculation effort. The state of the art today is the heat and mass balance models (HMB), which are more sophisticated. This paper presents a general overview of these methods, including the most recent trend, Artificial Neural Networks (ANN). In the future, the ANN-based flow path analysis system will probably, to some extent, replace the HMB-based systems, or become a complementary tool for monitoring and performance analysis of power production units. This paper will give a comprehensive explanation of how to build a flow path analysis system in an equation-solving package (e.g. spreadsheet program), by using relationships presented here. This may give a system that is well within the capabilities of most commercially available systems, used and developed by consultant companies (third party companies).},
  author       = {Genrup, Magnus and Assadi, Mohsen and Torisson, Tord},
  keyword      = {Flow path analysis,Heat and mass balance models},
  language     = {eng},
  pages        = {75--82},
  publisher    = {ARRAY(0x82fa838)},
  series       = {American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI},
  title        = {A review of gas turbine flow path analysis - From paper calculation to artificial neural networks},
  volume       = {2 A},
  year         = {2002},
}