Research on Performance Prediction of Coal-fired Power Plant Denitrification Device Based on Online Monitoring Data

Abstract

The precise control of pollutant removal in thermal power plants has always received wide attention. By applying big data analysis technology to the denitration system of a 600 MW generator set, the in-depth mining research on environmental protection online monitoring data under complex conditions was carried out, and the impact of pollution can be obtained efficiently and accurately. By analyzing the key factors of the performance of waste removal equipment, combined with the principle of pollutant removal, the input and output elements of the environmental pollution index predict ion model was determined, the resource consumption indicators in the denitration system were characterized, and the big data of the unit environmental pollution index forecast model was built. The results show that after rationally cleaning the associated parameters in the process, the results of the key factor analysis are consistent with the results of the qualitative analysis of the removal mechanism of environmental pollutants. The trained model can not only reproduce the current environmental performance with high precision, but also has the ability to predict environmental performance. The specific analysis of the selective catalytic reduction (SCR) system can provide a certain theoretical basis and data support for the implementation of further precise control of other environmental protection equipment in thermal power plants.

Keywords

• thermal power plant
• big data
• ultra-low emission
• denitration system