New approach to optimizing combustion in power boilers using software inspired by the immune system integrated with an in–furnace temperature monitoring system

Łukasz Śladewski, Konrad Wojdan, Konrad Świrski

Abstract


This paper presents a new approach in combustion process optimization using an integrated solution of immune inspired
optimizer (SILO) and acoustic temperature measurement system (AGAM). The solution maintains optimal temperature distribution
by on-line, automatic and model based process control. The goal is to increase boiler efficiency, improve process
parameters and minimize the environmental impact. This paper includes a description of system components—SILO and
AGAM— and the designed solution for an existing, coal-fired power unit. The unit is already equipped with the AGAM system
and identification tests conducted previously informed the design.

 


Keywords


combustion process, advanced control, optimization, acoustic temperature measurement, efficiency,

Full Text:

PDF

References


M. Deuster, Acoustic gas temperature measurement., in: Proceedings

of Wissenforum: temperature measurement technique., 2009.

E. Huelson, N. Logan, A. D. Sappey, G. Tanck, C. Steiger, N. Jakinovich,

J. P. Scott, T. Alleshouse, P. Spinney, J. Grott, H. Winn, Carbon management

for existing power plants via measurement and control optimization,

DOE/NETL-2011.

M. Deuster, Mit schallgeschwindigkeit berührungslos hohe gastemperaturen

messen., Sonderdruck MSR Magazin.

K. Wojdan, K. S´wirski, M. Warchol, M. Maciorowski, Methods providing

good conditioning of model identification task in immune inspired,

steady-state controller of an industrial process, in: Proc. of International

MultiConference of Engineers and Computer Scientists 2009 Vol

II, IMECS 2009, Hong Kong, 2009.

K. Wojdan, K. S´wirski, M. Warchol, J. Milewski, A. Miller, A practical approach

to combustion process optimization using an improved immune

optimizer, in: Sustainable Research and Innovation Proceedings, vol. 3,

Kenya, 2011.

K. Wojdan, K. S´wirski, M. Warchol, Transition state layer in the immune

inspired optimizer, Trends in Applied Artificial Intelligence, Lecture

Notes in Artificial Intelligence 6096 (2010) 11–20.

K. Wojdan, K. S´wirski, M. Warchol, Transition states handling in selfadaptive

steady state optimizer of industrial processes, in: Proceedings

of the IASTED Conference on Modelling, Identification, and Control,

Thailand, Phuket, ACTA Press 2010, 2010.

D. Nabaglo, P. Madejski, Combustion process analysis in boiler op-650k

based on acoustic gas temperature measuring system., in: Proceedings

of 3rd International Conference on Contemporary Problems of Thermal

Engineering CPOTE 2012; Gliwice, Poland., 2012.

Ł. S´ ladewski, D. Nabagło, T. Janda, J. Chachuła, Combustion process

optimization by using immune optimizer in power boiler, Archivum Combustionis

(1).


Refbacks

  • There are currently no refbacks.