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Enhanced turbine monitoring using emissions measurements and data reconciliation

Authors :
Mohammed S. Syed
Kerry M. Dooley
Frantisek Madron
F. Carl Knopf
Source :
Applied Energy. 173:355-365
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Standard monitoring within a gas-turbine based cogeneration system includes key flow rates, temperatures, pressures and turbine vibration. These standard measurements can be enhanced with continuous emissions monitoring to help pinpoint system problems. A combination of these measurements, a fast NOx prediction model and data reconciliation constitute an improved monitoring and diagnostic tool that can quantitatively predict the existence of turbine problems (for example, damaged combustor nozzles) even when standard turbine monitoring indicates no problems exist.

Details

ISSN :
03062619
Volume :
173
Database :
OpenAIRE
Journal :
Applied Energy
Accession number :
edsair.doi.dedup.....991f3362d94d7bbffacd0a0599b7ce09
Full Text :
https://doi.org/10.1016/j.apenergy.2016.04.059