Relationship between Energy Consumption and Operational Variables at Wastewater Treatment Plant

상관분석 및 의사결정나무분석을 통한 하수처리시설의 에너지 소비량과 운영인자의 관계 분석

  • Received : 2016.01.19
  • Accepted : 2016.04.06
  • Published : 2016.05.30


To reduce energy consumption in wastewater treatment plants (WWTPs), renewable energy applications such as small hydropower, solar energy, and wind energy are popular. However, it should be noticed that energy originated from operation of wastewater treatment process can be reduced through optimized operation based on analysis of factors affecting energy. In this research, the relationship to the various operational variables and influent factors was explored using correlation analysis and decision tree algorithm. Due to the non-linear characteristics of the process, it was difficult to find clear linear patterns through correlation analysis. However, decision tree algorithm showed its usefulness in uncovering hidden patterns that consume energy. As operational factors, influent flowrate, the amount of aeration, nitrate recycling pumping rate, and sludge wasting pumping rate were selected as important factors. For environmental factors associated with influent compositions and removal rate, BOD and T-N removal rate were selected as significant factors.


Correlation analysis;Decision tree algorithm;Energy consumption;Wastewater treatment plant


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