Enhanced turbine monitoring using emissions measurements and data reconciliation. (1st July 2016)

• Record Type: Journal Article
• Authors: Syed, Mohammed S.; Dooley, Kerry M.; Madron, Frantisek; Knopf, F. Carl
• Is Part Of: Applied energy. Volume 173(2016)
• Page Start: 355
• Page End: 365
• Publication Date: 2016-07-01
• Subjects: Cogeneration -- Emissions reduction -- Data reconciliation -- Gross error detection -- Diagnostics -- Monitoring; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2016.04.059
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A diagnostic tool to indicate turbine system problems is proposed. NO x emissions can enhance the data reconciliation process in turbine systems. NO x emissions measurements and data reconciliation can find turbine system problems. 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 NO x 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.