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

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.

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Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).