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KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology. Polytechnic University, Turin.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Gas turbines overall theoretical performance analysis can be performed by using several thermodynamic theories and equations with the help of design parameters. However, limited availability of the design parameters will complicate the analysis. The turbines manufactures published a limited amount of data, while important parameters remain hidden and this available information is not enough for overall gas turbine cycle analysis. A theoretical model based on Mathcad software is already available in literature to reveal such hidden gas turbine parameters nevertheless requires improvements in various facets.Five main parameters commonly published by the gas turbine manufactures in the catalogue are exhaust temperature of flue gas, exhaust mass flow rate, overall efficiency, electrical output and compression ratio of the compressor. Theoretical model was developed to obtain all the hidden thermodynamic parameters by using available catalogue data with realistic assumptions. The engineering equation solver (EES) program has been used as a platform to rebuild the theoretical model and the graphical user interface of the new programme. After obtaining the hidden thermodynamic parameters, an exergy analysis has been carried out for the gas turbine. The developed EES programme is expected to be used in the learning laboratory at the Department of Energy Technology, The Royal Institute of Technology (KTH), Stockholm, incorporated into CompEdu learning platform.

Place, publisher, year, edition, pages
2013. , 72 p.
National Category
Applied Mechanics
URN: urn:nbn:se:kth:diva-129276OAI: diva2:651271
Educational program
Master of Science - Environomical Pathways for Sustainable Energy Systems
2013-07-15, 10:36 (English)
Available from: 2013-10-17 Created: 2013-09-25 Last updated: 2013-10-17Bibliographically approved

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Ranasinghe Chamila EGI-2013-104MSC EKV972(2181 kB)4568 downloads
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File name FULLTEXT01.pdfFile size 2181 kBChecksum SHA-512
Type fulltextMimetype application/pdf

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