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MLVSS에 따른 Jet Loop Reactor (JLR)에서 동력량과 공기량이 산소전달률에 미치는 영향

Effects of Energy Input and Air Flow Rate on Oxygen Transfer Rate at Different MLVSS in a Jet Loop Reactor (JLR)

  • Yoon, Ae-Hwa (KS Industry Co., Ltd.) ;
  • Bae, Jong-Hun (Department of Environmental Engineering, Chungbuk National University) ;
  • Lim, Hyun-Woo (Department of Environmental Engineering, Chungbuk National University) ;
  • Jun, Hang-Bae (Department of Environmental Engineering, Chungbuk National University) ;
  • Huh, Tae-Young (Department of Information Statistics, Chungbuk National University)
  • 투고 : 2010.10.27
  • 심사 : 2011.12.30
  • 발행 : 2011.12.30

초록

산소전달률은 음폐수, 축산폐수 그리고 매립지 침출수와 같은 고농도 폐수처리를 호기성 공정으로 처리할 시 그 성과를 결정하는 아주 중요한 요소이다. 본 논문에서는, Jet Loop Reactor (JLR)를 이용하여 공기유량과 동력량을 운전조건의 변수로 두고 미생물의 농도에 따른 산소소비율(Oxygen uptake rate, OUR)과 물질전달계수(Volumetric mass transfer coefficient, $K_L{\cdot}a$)를 측정하였으며, 산출된 $K_L{\cdot}a$ 값의 결과를 가지고 통계학적인 분석을 통하여 비선형 회귀 모형을 제안하여 보았다. 연구 결과, 미생물 농도를 높게 유지시켜야 하는 고농도 폐수를 적용할 경우에는, 동력량과 공기량은 산소전달률의 중요한 인자이며, 마지막으로 최종 비선형 회귀모형을 동력량과, 공기량 그리고 점성계수의 함수로 나타내보았다.

Oxygen transfer rate generally determines the performance of an aerobic wastewater treatment process that treats high strength wastewater such as food wastewater, animal wastewater and landfill leachate. In this paper, OUR and $K_L{\cdot}a$ were evaluated by using Jet Loop Reactor (JLR) according to the concentration of a mixed liquor volatile suspended solid (MLVSS), oxygen (air) flow rate and energy input as the variable of the operating conditions. Also, a nonlinear regression model was proposed by the statistical methods with the calculated $K_L{\cdot}a$. As a results, in case of applying the high strength wastewater which has to maintain high MLVSS, the energy input and the air flow rate are major parameters oxygen transfer rate in JLR. Finally, the final nonlinear regression model had been developed as a function of E/V, $Q_g$, and ${\mu}_c$.

키워드

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피인용 문헌

  1. Effect of Orifice Nozzle Design and Input Power on Two-Phase Flow and Mass Transfer Characteristics vol.40, pp.4, 2016, https://doi.org/10.3795/KSME-B.2016.40.4.237