Immune Inspired Optimizer of Combustion Process in Power Boiler

Authors :: Konrad Wojdan
K. Świrski
Source :: New Trends in Applied Artificial Intelligence ISBN: 9783540733225, IEA/AIE
Publication Year :: 2007
Publisher :: Springer Berlin Heidelberg, 2007.
Abstract: The article presents an optimization method of combustion process in a power boiler. This solution is based on the artificial immune systems theory. A layered optimization system is used, to minimize CO and NOx emission. Immune inspired optimizer SILO is implemented in each of three units of Ostroleka Power Plant (Poland). The results from this implementation are presented. They confirm that presented solution is effective and usable in practice.

Subjects :: Adaptive control
Power station
Optimization system
business.industry
Artificial immune system
Combustion process
Computer science
Silo
Intelligent decision support system
Process engineering
business
USable
Simulation

ISBN :: 978-3-540-73322-5
ISBNs :: 9783540733225
Database :: OpenAIRE
Journal :: New Trends in Applied Artificial Intelligence ISBN: 9783540733225, IEA/AIE
Accession number :: edsair.doi...........1109d274f67c941bef04534a0fce1e46

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