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Study on the Low Energy Sewage Management Based on Pre-sensing Technology and Automatic Blower Control

사전감지기술 및 송풍량 자동제어를 기반으로 한 저에너지 하수관리기술에 관한 연구

  • Received : 2019.10.24
  • Accepted : 2019.11.22
  • Published : 2019.12.31

Abstract

This study is about the implementation of low energy sewage management technology through effective control of blower which consumes the most energy in sewage treatment. In calculating the amount of oxygen required for microorganisms, unlike the existing method using the operating index in the bioreactor or TMS data in the discharge port, the CODcr and NH4+-N concentration changes in sewage flowing into the sewage treatment plant were detected in advance before entering the bioreactor and the amount of air was controlled based on this. The pre-sensing was found to have a high correlation compared with conventional products. As a result of blower control, it was possible to save about 9.9% energy more than the manual control. Consequently, this study suggested the possibility of blower's real-time control combined with pre-sensing technology. Also, it is expected that the low energy sewage treatment can be applied to sewage treatment facilities dependent on operation by manpower, and it will contribute to the reduction of greenhouse gas emissions.

본 연구는 하수처리시 가장 많은 에너지가 소비되는 송풍기의 효과적인 제어를 통한 저에너지 하수관리기술 구현에 관한 것으로, 미생물에 필요한 산소의 양을 산정함에 있어 생물반응조내 운전지표나 방류수의 원격수질감시체계(Tele-Monitoring System, TMS) 데이터를 활용하는 기존방식과 달리 하수처리 시설로 유입되는 하수의 CODcr, NH4+-N 농도변화를 유입단에서 미리 감지하여 송풍에너지를 절감하고자 하였다. 사용된 사전감지기술은 기존 상용화된 제품과 비교 시 높은 상관관계를 보였다. 사전감지기술과 연계하여 송풍기를 자동제어한 결과 인력에 의한 수동제어방식에 비해 평균 9.9%의 송풍에너지를 줄일 수 있음이 확인되었다. 이처럼, 유입단에서 유입하수를 사전감지할 경우 실시간으로 유입수질의 변동파악 및 송풍량 제어가 가능해져 인력에 의한 수동운전방식에 의존하고 있는 다수 하수처리시설에 적용시 저에너지 하수처리를 기대할 수 있으며, 이를 통해 온실가스 배출 절감에 기여할 수 있을 것으로 판단된다.

Keywords

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