ONLINE MONITORING OF BOILER LOW TEMPERATURE SUPERHEATER SURFACE POLLUTION BASED ON SVM

Yonggang Zhao, Yang Bai, Yuhui Chen, Haiping Xiao, Zhizhong Kang, Baomin Sun

ABSTRACT: The combustion of zhundong coal, which was rich in sodium and potassium, caused severe ash fouling in low temperature superheater. In this paper, according to the reason of the low temperature superheater ash fouling, the suitable characteristic parameters were selected, and a lot of relevant data were obtained from DCS system. A support vector machine model based on particle swarm optimization was proposed to predict the clean heat transfer in low temperature superheater surface using real operation data. In addition, the model was applied to the low temperature superheater of a 330MW unit and had a good prediction effect. The maximum accuracy rate reached above 99%. Finally, a clean curve was drawn according to the historical data of one day, and it can reflect the low temperature superheater’s pollution well.

Keywords:Zhundong coal, fouling, clean heat transfer, low temperature superheater, SVM