Data reconciliation and gross error detection for the flue gas train in a heat & power plant

The mass flow sensors in a flue gas channel of a bio-fuel fired boiler are few and operate in a harsh environment. The purpose of the here used data treatment system is to identify and correct bad mass flow measurements. The system consists of a gross error detection and isolation algorithm combined...

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Bibliographic Details
Main Authors: Karlsson, C., Dahlquist, E., Dotzauer, E.
Format: Conference Proceeding
Language:English
Subjects:
Biosensors
Boilers
Cogeneration
Flue gases
Fluid flow measurement
Gas detectors
Heat treatment
Power generation
Power measurement
System testing
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Summary:The mass flow sensors in a flue gas channel of a bio-fuel fired boiler are few and operate in a harsh environment. The purpose of the here used data treatment system is to identify and correct bad mass flow measurements. The system consists of a gross error detection and isolation algorithm combined with data reconciliation. The data treatment system is tested with simulated data and measurement data from a bio-fuel fired heat and power plant. For simulated data the performance of the algorithm is acceptable for main mass flows