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


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.



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

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