The Prediction of Fouling in Condenser Based on T-S Model

The prediction of fouling in condenser is heavily influenced by the periodic fouling processes and dynamics change of the parameters. To deal with it, a novel prediction approach based on T-S model is proposed. In the approach, the overall fouling is separated into two parts: hard fouling and soft fouling. The variation trends of these fouling are approximated by two T-S models, respectively, and the more accurate prediction can be made by the combination of output of T-S models. Based on it, a test on an actual condenser is conducted. The results show the approach to be more effective than asymptotic fouling model and improved asymptotic fouling model.