Title :
Combustion optimization with inferential sensing
Author :
Havlena, Vladimir ; Findejs, Jifi ; Pachner, Daniel
Author_Institution :
Honeywell Prague Lab., Honeywell Intl., Prague, Czech Republic
Abstract :
The paper presents development and implementation of an advanced combustion controller (ACC) for a coal-fired boiler. The solution consists of combustion controller (multi-variable predictive controller) and combustion optimizer (cautious strategy stochastic optimizer). Optimization is based on a model of the CO and NOx emissions. The model is used to calculate the setpoint of the optimal air/fuel ratio(s) maximizing the efficiency of the plant under constraints given by emission limits.
Keywords :
air pollution control; boilers; chemical variables control; combustion; multivariable control systems; predictive control; CO; CO emissions; NO; NOx emissions; cautious strategy stochastic optimizer; coal-fired boiler; combustion controller; combustion optimization; combustion optimizer; inferential sensing; multi-variable predictive controller; optimal air/fuel ratio; setpoint; Boilers; Combustion; Flue gases; Fuels; Laboratories; Optimal control; Predictive control; Predictive models; Recursive estimation; Stochastic processes;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024536
