Prediction On The Efficiencies Of Simultaneous Desulfurization And Denitrification Based On TiO₂ Photocatalysis

At the present time, with the intensity of electric power environmental protection, the flue gas simultaneous desulfurization and denitrification technology is developing rapidly and more diversified. The efficiency is its main criteria, which determines the application prospect and developmental potential. This paper first gives a brief introduction to the experimental research of simultaneous desulfurization and denitrification based on TiO2 photocatalysis and analyzes the factors affecting the efficiency of simultaneous desulfurization and denitrification based on TiO2 photocatalysis. Then, the author puts forwards several models, which are based on multiple linear regression, LMBP neural network and genetic programming. Then, the author makes the respective programs and simulating calculation based on the three models. In the end, the results show that the models are practical and feasible. The predictive values are achieved more precisely. Furthermore, it also reflects the contribution which the various factors made to the efficiency changing tendency.