A machine learning NOx emission model for SCR system considering mechanism knowledge and catalyst deactivation
In this work, an adaptive NOx emission model is proposed for a SCR system of a 660 MW utility boiler.First, 3-years operating data was collected from the plant SIS system as raw data, which was then filtered using the R-statistic method and clustered by the condensed nearest neighbor DIESEL PROTEIN BANANA (CNN) rule to form a classified steady-stat