Publisher : The Korean Environmental Sciences Society
DOI : 10.5322/JESI.2015.24.11.1443
Title & Authors
Development of Energy Consumption Estimation Model Using Multiple Regression Analysis Shin, Won-Jae; Jung, Yong-Jun; Kim, Ye-Jin;
Wastewater treatment plant(WWTP) has been recognized as a high energy consuming plant. Usually many WWTPs has been operated in the excessive operation conditions in order to maintain stable wastewater treatment. The energy required at WWTPs consists of various subparts such as pumping, aeration, and office maintenance. For management of energy comes from process operation, it can be useful to operators to provide some information about energy variations according to the adjustment of operational variables. In this study, multiple regression analysis was used to establish an energy estimation model. The independent variables for estimation energy were selected among operational variables. The value in the regression analysis appeared 0.68, and performance of the electric power prediction model had less than error.
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