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 R2 value in the regression analysis appeared 0.68, and performance of the electric power prediction model had less than ±5% error.

Abstract
 1. 서 론
 2. 재료 및 방법
  2.1. 대상 플랜트
  2.2. 다중회귀분석
 3. 결과 및 고찰
  3.1. 다중회귀식 개발
  3.2. 회귀모형의 유의성 검정
  3.3. 독립변수들의 다중공선성 검토
 4. 결론
 REFERENCE

• 신원재((주)태성종합환경연구소) | Won-Jae Shin (Tae Sung Environment Institute Co., Ltd.)
• 정용준(부산가톨릭대학교 환경공학과) | Yong-Jun Jung (1)Department of Environmental Engineering, Catholic University of Pusan)
• 김예진(부산가톨릭대학교 환경공학과) | Ye-Jin Kim (1)Department of Environmental Engineering, Catholic University of Pusan) Corresponding author