1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

Stochastic immune layer optimizer: efficient tool for optimization of combustion process in a boiler

  • @INPROCEEDINGS{10.1145/1315843.1315858,
        author={G.  Jarmoszewicz and  K.  Świrski and K.  Wojdan},
        title={Stochastic immune layer optimizer: efficient tool for optimization of combustion process in a boiler},
        proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
        publisher={ACM},
        proceedings_a={BIONETICS},
        year={2006},
        month={12},
        keywords={},
        doi={10.1145/1315843.1315858}
    }
    
  • G. Jarmoszewicz
    K. Świrski
    K. Wojdan
    Year: 2006
    Stochastic immune layer optimizer: efficient tool for optimization of combustion process in a boiler
    BIONETICS
    ACM
    DOI: 10.1145/1315843.1315858
G. Jarmoszewicz1,*, K. Świrski2,*, K. Wojdan3,*
  • 1: Transition Technologies S.A. Warsaw, Poland
  • 2: Institute of Heat Engineering, Warsaw University of Technology, Warsaw, Poland
  • 3: Institute of Radioelectronics, Warsaw University of Technology, Warsaw, Poland
*Contact email: g.jarmoszewicz@tt.com.pl, swirski@itc.pw.edu.pl, kwojdan@ire.pw.edu.pl

Abstract

The article presents a method for optimization of combustion process in a boiler. This solution is based on the artificial immune system. A layered optimization system is used, to minimize CO and NOx emission. This solution is implemented in real power plant. The results from this implementation have been presented. They confirm that presented solution is effective and usable in practice.