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Optimal DO Setpoint Decision and Electric Cost Saving in Aerobic Reactor Using Respirometer and Air Blower Control

호흡률 및 송풍기 제어 기반 포기조 최적 DO 농도 설정과 전력 비용 절감 연구

  • Lee, Kwang Su (Department of Environmental Science and Engineering, Center for Environmental Studies, College of Engineering, Kyung Hee University) ;
  • Kim, Minhan (Pangaea21, Ltd.) ;
  • Kim, Jongrack (UnUsoft, Ltd.) ;
  • Yoo, Changkyoo (Department of Environmental Science and Engineering, Center for Environmental Studies, College of Engineering, Kyung Hee University)
  • 이광수 (경희대학교 공과대학 환경학 및 환경공학과/환경연구센터) ;
  • 김민한 (팬지아이십일) ;
  • 김종락 (유앤유소프트) ;
  • 유창규 (경희대학교 공과대학 환경학 및 환경공학과/환경연구센터)
  • Received : 2014.03.14
  • Accepted : 2014.04.26
  • Published : 2014.10.01

Abstract

Main objects for wastewater treatment operation are to maintain effluent water quality and minimize operation cost. However, the optimal operation is difficult because of the change of influent flow rate and concentrations, the nonlinear dynamics of microbiology growth rate and other environmental factors. Therefore, many wastewater treatment plants are operated for much more redundant oxygen or chemical dosing than the necessary. In this study, the optimal control scheme for dissolved oxygen (DO) is suggested to prevent over-aeration and the reduction of the electric cost in plant operation while maintaining the dissolved oxygen (DO) concentration for the metabolism of microorganisms in oxic reactor. The oxygen uptake rate (OUR) is real-time measured for the identification of influent characterization and the identification of microorganisms' oxygen requirement in oxic reactor. Optimal DO set-point needed for the micro-organism is suggested based on real-time measurement of oxygen uptake of micro-organism and the control of air blower. Therefore, both stable effluent quality and minimization of electric cost are satisfied with a suggested optimal set-point decision system by providing the necessary oxygen supply requirement to the micro-organisms coping with the variations of influent loading.

하수처리장을 운영함에 있어 안정적인 방류수질 확보와 이에 따른 처리 비용을 최소화하는 것이 주요 목적이다. 하지만 유입수 유량 및 성분 농도의 변화와 미생물의 비선형적인 동특성, 기타 환경 요인에 의해서 최적의 운전 제어를 하기가 쉽지 않기 때문에, 기존의 하수처리장에서는 필요한 양 이상의 폭기 및 화학물질을 과량 주입하는 방법 등을 사용하였다. 본 연구에서는 포기조에서 미생물에 필요한 용존산소농도는 유지하면서 과폭기로 인한 전력 비용을 감소하는 최적 제어 방법을 제안하였다. 하수조성와 포기조 미생물의 호흡률은 실시간 미생물 호흡률 측정기(Oxygen uptake rate, OUR)를 이용하여 측정하였고, 실시간 호흡률 측정값을 바탕으로 현재 미생물에 필요한 최적 DO 농도를 제안하였다. 유입수 부하변동에 따라 변화하는 미생물 호흡에 필요한 산소량 만큼만 폭기하도록 구성함으로써, 방류수 수질기준을 만족함과 동시에 전력 비용을 최소화할 수 있는 방안을 제시하였다.

Keywords

References

  1. Kim, B. G., Lee, T. H., Choi, G. S. and Kim, C. W., "Relationship Between Loading Rate and Respiration Rate for Contrl of Activated Sludge Process," Journal of Korean Society of Environmental Engineers, 18(12), 1573-1582(1994).
  2. Henze, M., Gujer, W., Mino, T. and Loosdrecht, M., "Activated Sludge Models ASM1, ASM2, ASM2d and ASM3," IWA Scientific and Technical report No.9, IWA, UK(1999).
  3. Petersen, B., "Calibration, Identifiability and Optimal Experimental Design of Activated Sludge Models," Ph.D. thesis, BIOMATH, Gent UNIV., Belgium(2001).
  4. Kim, D. H., "Estimation of Nitrifiable Nitrogen Compounds in Municipal Wastewater by Respirometry," J. of Korean Society of Water and Wastewater, 21(3), 295-303(2007).
  5. Kim, M. H., "Development of An Integrated Protocol for Influent Characterization, Model Calibration, Process Optimization, and Plant Design Based on Activated Sludge Models," Ph.M. thesis, KyungHee Univ.(2012).
  6. Lim, J. J., "A Study for Influent Characterization, Model Calibration and Optimization Using Activated Sludge Model, Ph.M. thesis, KyungHee Univ.(2012).
  7. Kim, D. H., Kim, H. J. and Jeong, T. H., I. Respirometry = Respirometry for the Assessment of Organics Biodegradability in Municipal Wastewater, Journal of Korean Society of Water and Wastewater, 18(1), 29-36(2004).
  8. Henze, M., "Characterization of Wastewater for Modeling of Activated Sludge Processes," Water Sci. Technol., 25(6), 1-15(1992).
  9. Spanjers, H. and Vanrolleghem, P. A., "Respirometry as a Tool for Rapid Characterization of Wastewater and Activated Sludge," Water Sci. Technol., 31(2), 105-114(1995).
  10. Shin, H. S., Jeong, H. S. and Nam, S. Y., "Determination of Active Biomass Concentration is Sludge by Respirometry, Journal of The Korean Society of Civil Engineers, 21(2), 165-170(2001).
  11. Jeong, H. S., "Monitoring and Simulation of Biological Nitrogen Removal Process Using Respirometry," Ph. M. thesis, KAIST(2000).
  12. Lee, D. S. and Woo, S. H., "The Realtime Monitoring Sensor in Biological Wastewater Treatment Process," DICER Techinfo Part 1, 5(5), 68-86(2006).
  13. DreamBios, The measurement respirometry of microorganisms (SRT-Meter), DreamBios, Ltd., 1-38(2011).
  14. Kim, M. H. and Yoo, C. K., "Design and Environmental/Economic Performance Evaluation of Wastewater Treatment Plants Using Modeling Methodology," Korean Chem. Eng. Res., 46(3), 610-618(2008).
  15. Zhou, Z., Wu, Z., Wang, Z., Tang, S., Gu, G., Wang, L., Wang, Y. and Xin, Z., "Simulation and Performance Evaluation of the Anoxic/anaerobic/aerobic Process for Biological Nutrient Removal," Korean J. Chem. Eng., 28(5), 1233-1240(2011). https://doi.org/10.1007/s11814-010-0502-2
  16. http://cyber.kepco.co.kr/ckepco/front/jsp/CY/E/E/CYEEHP00101.jsp.

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