Highly efficient burning of clinker using flame analysis and NMPC

Author

Schmidt, Dirk

Author_Institution

Powitec Intelligent Technol. GmbH, Essen

fYear

2007

fDate

April 29 2007-May 2 2007

Firstpage

140

Lastpage

146

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Cement Industry Technical Conference Record, 2007. IEEE

Conference_Location

Charleston, SC

ISSN

1079-9931

Print_ISBN

1-4244-1195-5

Electronic_ISBN

1079-9931

Type

conf

DOI

10.1109/CITCON.2007.358994

Filename

4198212