关键词: 板式换热器, 污垢热阻, 偏最小二乘回归, 预测

Abstract:

A fouling test system was set up to measure water quality parameters of natural cooling water circulation from Songhua river, such as iron ions, chloride ions, total bacteria, pH, dissolved oxygen, turbidity and electric conductivity at different time, flow rates and water temperatures.A partial least squares regression(PLS)model was built, with a set of data measured as the input variables, to predict the fouling characteristics of the plate heat exchanger, which are iron ions, chloride ions, total bacteria, pH, dissolved oxygen, turbidity, conductivity, etc.The input water quality parameters were selected randomly.In the experiment, the hot water inlet temperature was between 43.5℃ and 44.5℃, cooling water inlet temperature was between 21.5℃ and 22.5℃, and water velocity was 0.104 m·s-1.The calculation shows that the PLS model contains four latent variables.Compared with the experimental results, the maximal relative error of the model was in 5.11%.The partial leastsquare regression algorithm of fouling model is reasonable and feasible.

Key words: 板式换热器, 污垢热阻, 偏最小二乘回归, 预测