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

Summary, in English

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).

• Författare: Magnus Genrup; Mohsen Assadi; Tord Torisson
• Avdelning/ar: Kraftverksteknik
• Publiceringsår: 2002
• Språk: Engelska
• Sidor: 75-82
• Publikation/Tidskrift/Serie: American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI
• Volym: 2 A
• Dokumenttyp: Konferensbidrag
• Förlag: American Society Of Mechanical Engineers (ASME)
• Ämne: Energy Engineering
• Nyckelord: Flow path analysis; Heat and mass balance models
• Conference name: Proceedings of the ASME TURBO Expo 2002:Controls, Diagnostics, and Instrumentation, Cycle Innovations, Marine, Oil and Gas Applications
• Conference date: 2002-06-03 - 2002-06-06
• Conference place: Amsterdam, Netherlands
• Status: Published
• ISBN/ISSN/Övrigt: CODEN: AMGIE8