Increasing diagnostic effectiveness by inclusion of fuel composition and water injection effects

Mathioudakis, K; Aretakis, N; Tsalavoutas, A

dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Aretakis, N	en
dc.contributor.author	Tsalavoutas, A	en
dc.date.accessioned	2014-03-01T02:49:14Z
dc.date.available	2014-03-01T02:49:14Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34428
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0037002778&partnerID=40&md5=5a30fd45f55ea9529fe5222c33f63a65	en
dc.subject.other	Compressors	en
dc.subject.other	Computer simulation	en
dc.subject.other	Enthalpy	en
dc.subject.other	Pressure	en
dc.subject.other	Temperature	en
dc.subject.other	Water injection	en
dc.subject.other	Fault diagnostics	en
dc.subject.other	Water injection effects	en
dc.subject.other	Gas turbines	en
dc.title	Increasing diagnostic effectiveness by inclusion of fuel composition and water injection effects	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	The paper presents an analysis of the effect of changing the fuel on the performance of industrial gas turbines and examines the impact of such a change on methods used for engine condition assessment and fault diagnostics. A similar analysis is presented for the effects of water injection in the combustion chamber (which is usually done for reducing NOx emissions). First, the way of incorporating the effect of fuel changes and water injection into a computer model of gas turbine performance is described. The approach employed is based on the change of (a) working fluid properties, (b) turbomachinery components performance. The model is then used to derive parameters indicative of the ""health"" of a gas turbine and thus diagnose the presence of deterioration or faults. The impact of ignoring the presence of an altered fuel or injected water is shown to be of a magnitude that would render a diagnostic technique that does not incorporate these effects ineffective. On the other hand, employing the appropriate physical modeling makes the diagnostic methods robust and insensitive to such changes, being thus able to provide useful diagnostic information continuously during the use of a gas turbine.	en
heal.journalName	American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI	en
dc.identifier.volume	2 A	en
dc.identifier.spage	119	en
dc.identifier.epage	126	en