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

Śladewski Ł., Wojdan K., Świrski K.

Journal of Power Technologies

2017

Vol. 97, nr 4

308--313

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 optimization by using immune optimizer in power boiler

Śladewski Ł., Nabagło D., Janda T., Chachuła J.

Archivum Combustionis

2015

Vol. 35 nr 1

51--63

Current optimization of power boilers is a very important issue in research and implementation, particularly in the context of increasing environmental requirements. Combustion process requires control large number of process variables, which is usually implemented by means of the classical single-input PI or PID controllers. A large inertia and non-linearity of the combustion process necessitated the searching for new solutions in the field of control, which except better control also will allow for boiler operation optimization due to new ecological and economic conditions. The article presents the results of work of the immune optimizer SILO II installed in a distributed control system (DCS) of 650 t/h live steam power boiler. Preliminary identification tests involving the control of the amount of over-fire air, showed a strong correlation between the OFA nozzle opening level and the shape of the flame (flue gas temperature distribution). Identified relationship was basis for inference of the possibility of flame shape control to obtain optimal combustion conditions in terms of gas pollutants emission and improving the thermal efficiency of the boiler.