Title :
Data reconciliation and gross error detection for the flue gas train in a heat & power plant
Author :
Karlsson, C. ; Dahlquist, E. ; Dotzauer, Erik
Author_Institution :
Dept. of Public Technol., Malardalen Univ., Vasteras
Abstract :
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
Keywords :
bioenergy conversion; cogeneration; error detection; flow measurement; flue gases; sensors; bio-fuel fired boiler; bio-fuel fired heat-power plant; data reconciliation; data treatment system; flue gas channel; gross error detection; harsh environment; isolation algorithm; mass flow measurement; mass flow sensor; Biosensors; Boilers; Cogeneration; Flue gases; Fluid flow measurement; Gas detectors; Heat treatment; Power generation; Power measurement; System testing;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
