Enhanced turbine monitoring using emissions measurements and data reconciliation

Mohammed S. Syed, Kerry M. Dooley, Frantisek Madron and F. Carl Knopf

Applied Energy, 2016, vol. 173, issue C, 355-365

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.

Keywords: Cogeneration; Emissions reduction; Data reconciliation; Gross error detection; Diagnostics; Monitoring (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.apenergy.2016.04.059

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