System And Method For Ai/Ml Based Closed Loop Automatic Regulation Of Emissions

Abstract: Techniques for a sophisticated closed-loop control operation for automatic regulation of emissions in a Circulating Fluidized Bed Combustion (CFBC) boiler by leveraging ability of adaptive Artificial Intelligence/Machine Learning based control system are described. The present system and method relate to ensuring both real-time model training as well as implementation for dynamic and efficient emission control. The present disclosure describes processing a current SOx emission, a current lime consumption value and a predefined SOx setpoint value to determine an optimal setpoint of lime consumption required to keep the SOx emission within a desired limit in real-time. Said processing includes determination of limeSOx peak-trough curve, difference between current SOx value and predefined SOx setpoint value, and a SOx-lime sensitivity. The lime consumption setpoint so determined is directly transmitted to a distributed control system to control the injection of lime in the CFBC boiler for automatic regulation of SOx emission control.

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