Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Predictive aeration control based on the respirometric method in a sequencing batch reactor

연속회분식반응조에서 호흡률에 기반한 포기공정의 예측제어

  • Kim, Donghan (Department of Environmental Engineering, Seowon University)
  • Received : 2019.11.15
  • Accepted : 2019.12.06
  • Published : 2019.12.17
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Abstract

As aeration is an energy-intensive process, its control has become more important to save energy and to meet strict effluent limits. In this study, predictive aeration control based on the respirometric method has been applied to the sequencing batch reactor (SBR) process. The variation of the respiration rate by nitrification was great and obvious, so it could be a very useful parameter for the predictive aeration control. The maximum respiration rate due to nitrification was about 60 mg O2/L·h and the maximum specific nitrification rate was about 7.5 mg N/g MLVSS·h. The aeration time of the following cycle of the SBR was daily adjusted in proportion to that which was previously determined based on the sudden decrease of respiration rate at the end of nitrification in the respirometer. The aeration time required for nitrification could be effectively predicted and it was closely related to influent nitrogen loadings. By the predictive aeration control the aerobic period of the SBR has been optimized, and energy saving and enhanced nitrogen removal could be obtained.

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References

  1. Al-Ghusain, I.A., Huang, J., Hao, O.J., and Lim, B.S. (1994). Using pH as a real-time control parameter for wastewater treatment and sludge digestion processes, Water Sci. Technol., 30(4), 159-168. https://doi.org/10.2166/wst.1994.0182
  2. Amand, L., Olsson, G., and Carlsson, B. (2013). Aeration control - A review, Water Sci. Technol., 67(11), 2374-2398. https://doi.org/10.2166/wst.2013.139
  3. Andreottola, G., Foladori, P., and Ragazzi, M. (2001). On-line control of a SBR system for nitrogen removal from industrial wastewater, Water Sci. Technol., 43(3), 93-100. https://doi.org/10.2166/wst.2001.0123
  4. APHA, AWWA, and WEF (2012). Standard Methods for the Examination of Water and Wastewater, APHA, AWWA, WEF, Washington, DC.
  5. Artan, N., Wilderer, P., Orhon, D., Morgenroth, E., and Ozgur, N. (2001). The mechanism and design of sequencing batch reactor systems for nutrient removal - The state of the art, Water Sci. Technol., 43(3), 53-60. https://doi.org/10.2166/wst.2001.0118
  6. Baeza, J.A., Gabriel, D., and Lafuente, J. (2002). In-line fast OUR (oxygen uptake rate) measurements for monitoring and control of WWTP, Water Sci. Technol., 45(4-5), 19-28. https://doi.org/10.2166/wst.2002.0541
  7. Claros, J., Serralta, J., Seco, A., Ferrer, J., and Aguado, D. (2011). Monitoring pH and ORP in a SHARON reactor, Water Sci. Technol., 63(11), 2505-2512. https://doi.org/10.2166/wst.2011.478
  8. Daebel, H., Manser, R., and Gujer, W. (2007). Exploring temporal variations of oxygen saturation constants of nitrifying bacteria, Water Res., 41(5), 1094-1102. https://doi.org/10.1016/j.watres.2006.11.011
  9. Drewnowski, J. (2014). The impact of slowly biodegradable organic compounds on the oxygen uptake rate in activated sludge systems, Water Sci. Technol., 69(6), 1136-1144. https://doi.org/10.2166/wst.2013.771
  10. Ekama, G.A., Dold, P.L., and Marais, G.v.R. (1986). Procedures for determining influent COD fractions and the maximum specific growth rate of heterotrophs in activated sludge systems, Water Sci. Technol., 18(6), 91-114. https://doi.org/10.2166/wst.1986.0062
  11. Ginige, M.P., Kayaalp, A.S., Cheng, K.Y., Wylie, J., and Kaksonen, A.H. (2013). Biological phosphorus and nitrogen removal in sequencing batch reactors: effects of cycle length, dissolved oxygen concentration and influent particulate matter, Water Sci. Technol., 68(5), 982-990. https://doi.org/10.2166/wst.2013.324
  12. Gustavsson, D.J.I., Nyberg, U., and la Cour Jansen, J. (2008). Operation for nitritation of sludge liquor in a full-scale SBR, Water Sci. Technol., 58(2), 439-444. https://doi.org/10.2166/wst.2008.402
  13. Henze, M. (1992). Characterization of wastewater for modelling of activated sludge processes, Water Sci. Technol., 25(6), 1-15. https://doi.org/10.2166/wst.1992.0110
  14. Ingildsen, P., Jeppsson, U., and Olsson, G. (2002). Dissolved oxygen controller based on on-line measurements of ammonium combining feed-forward and feedback, Water Sci. Technol., 45(4-5), 453-460. https://doi.org/10.2166/wst.2002.0649
  15. Irvine, R.L. and Ketchum, Jr., L.H. (1989). Sequencing batch reactors for biological wastewater treatment, CRC Crit. Rev. Environ. Control, 18(4), 255-294. https://doi.org/10.1080/10643388909388350
  16. Kappeler, J. and Gujer, W. (1992). Estimation of kinetic parameters of heterotrophic biomass under aerobic conditions and characterization of wastewater for activated sludge modelling, Water Sci. Technol., 25(6), 125-139. https://doi.org/10.2166/wst.1992.0118
  17. Lackner, S., Gilbert, E.M., Vlaeminck, S.E., Joss, A., Horn, H., and van Loosdrecht, M.C.M. (2014). Full-scale partial nitritation/anammox experiences - An application survey, Water Res., 55, 292-303. https://doi.org/10.1016/j.watres.2014.02.032
  18. Mauret, M., Ferrand, F., Boisdon, V., Sperandio, M., and Paul, E. (2001). Process using DO and ORP signals for biological nitrification and denitrification: validation of a food-processing industry wastewater treatment plant on boosting with pure oxygen, Water Sci. Technol., 44(2-3), 163-170. https://doi.org/10.2166/wst.2001.0766
  19. Paul, E., Plisson-Saune, S., Mauret, M., and Cantet, J. (1998). Process state evaluation of alternating oxic-anoxic activated sludge using ORP, pH and DO, Water Sci. Technol., 38(3), 299-306. https://doi.org/10.1016/S0273-1223(98)00469-7
  20. Poo, K.M., Im, J.H., Jun, B.H., Kim, J.R., Hwang, I.S., Choi, K.S., and Kim, C.W. (2006). Full-cyclic control strategy of SBR for nitrogen removal in strong wastewater using common sensors, Water Sci. Technol., 53(4-5), 151-160. https://doi.org/10.2166/wst.2006.119
  21. Rosso, D., Larson, L.E., and Stenstrom, M.K. (2008). Aeration of large-scale municipal wastewater treatment plants: state of the art, Water Sci. Technol., 57(7), 973-978. https://doi.org/10.2166/wst.2008.218
  22. US EPA (2010). Nutrient Control Design Manual. EPA/600/R-10/100, Cincinnati, 4-12-4-15.
  23. Vollertsen, J., Petersen, G., and Borregaard, V.R. (2006). Hydrolysis and fermentation of activated sludge to enhance biological phosphorus removal, Water Sci. Technol., 53(12), 55-64. https://doi.org/10.2166/wst.2006.406
  24. Vrecko, D., Hvala, N., Stare, A., Burica, O., Strazar, M., Levstek, M., Cerar, P., and Podbevsek, S. (2006). Improvement of ammonia removal in activated sludge process with feedforward-feedback aeration controllers, Water Sci. Technol., 53(4-5), 125-132. https://doi.org/10.2166/wst.2006.098
  25. Wett, B. and Ingerle, K. (2001). Feedforward aeration control of a Biocos wastewater treatment plant, Water Sci. Technol., 43(3), 85-91. https://doi.org/10.2166/wst.2001.0122