Advanced SearchSearch Tips
Optimal DO Setpoint Decision and Electric Cost Saving in Aerobic Reactor Using Respirometer and Air Blower Control
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Chemical Engineering Research
  • Volume 52, Issue 5,  2014, pp.581-586
  • Publisher : The Korean Institute of Chemical Engineers
  • DOI : 10.9713/kcer.2014.52.5.581
 Title & Authors
Optimal DO Setpoint Decision and Electric Cost Saving in Aerobic Reactor Using Respirometer and Air Blower Control
Lee, Kwang Su; Kim, Minhan; Kim, Jongrack; Yoo, Changkyoo;
  PDF(new window)
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.
Process Optimization;Microbial Respiration;Oxygen Uptake Rate;DO Set-point Optimization;Air Blower Control;
 Cited by
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).

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).

Petersen, B., "Calibration, Identifiability and Optimal Experimental Design of Activated Sludge Models," Ph.D. thesis, BIOMATH, Gent UNIV., Belgium(2001).

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).

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).

Lim, J. J., "A Study for Influent Characterization, Model Calibration and Optimization Using Activated Sludge Model, Ph.M. thesis, KyungHee Univ.(2012).

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).

Henze, M., "Characterization of Wastewater for Modeling of Activated Sludge Processes," Water Sci. Technol., 25(6), 1-15(1992).

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).

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).

Jeong, H. S., "Monitoring and Simulation of Biological Nitrogen Removal Process Using Respirometry," Ph. M. thesis, KAIST(2000).

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).

DreamBios, The measurement respirometry of microorganisms (SRT-Meter), DreamBios, Ltd., 1-38(2011).

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).

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). crossref(new window)