Abstract: In this paper, a data-mining approach for modeling pumps in the wastewater preliminary treatment process is discussed. Datamining algorithms are utilized to develop pump performance models based on industrial data collected at a municipal wastewater processing plant. The performance of wastewater pumps is described by two parameters, pump energy consumption and water flow rate after the pumps. Two types of models, dynamic and steady state, are established to predict pump energy consumption and water flow rate. The first type of model is developed based on 5-min data and the second type is built based on 30-min data. The accuracy of the models has been validated.
Zhang and Kusiak tested seven data mining algorithms based in 5-min and 30-min data to construct a pump energy consumption model and a water flow rate (after the pumps) model of the preliminary treatment process of a WWTP REF .
Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant
Journal of Energy Engineering-asce
Engineering