Title :
Highly efficient burning of clinker using flame analysis and NMPC
Author_Institution :
Powitec Intelligent Technol. GmbH, Essen
fDate :
April 29 2007-May 2 2007
Abstract :
To date, six cement plants, worldwide, are using a dynamic Non-linear Model Predictive Control (NMPC) solution combined with flame analysis to gain essential savings in their clinker burning process. Through a combination of the latest developments in the field of artificial intelligence and digital image processing, they have optimized while increasing the fuel substitution rate and improved clinker quality. A new feature in the control concept is the use of the primary air distribution of the main burner. The article describes the functionality and performance of the optimization system which operates with "flame shaping" developed by the German Automation company
Keywords :
artificial intelligence; cement industry; combustion; combustion equipment; control engineering computing; flames; image processing; industrial plants; predictive control; process control; German Automation company; NMPC solution; air distribution; artificial intelligence; burner; cement plants; clinker burning process; digital image processing; dynamic nonlinear model predictive control; flame analysis; flame shaping; fuel substitution rate; optimization system; Artificial intelligence; Automatic control; Cameras; Digital images; Fires; Fuels; Glass; Kilns; Shape; Temperature distribution;
Conference_Titel :
Cement Industry Technical Conference Record, 2007. IEEE
Conference_Location :
Charleston, SC
Print_ISBN :
1-4244-1195-5
Electronic_ISBN :
1079-9931
DOI :
10.1109/CITCON.2007.358994