Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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A study on the determination of a representative location for monitoring the dissolved oxygen concentration in a aeration tank of sewage treatment plant

하수처리장 폭기조의 용존산소농도 모니터링 대표지점 선정에 관한 연구

  • Bang, Seok-Yong (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Bum, Bong-Su (Department of Human and Environmental, Kung-In Women's University) ;
  • Kim, Jin-Han (Department of Civil and Environmental Engineering, Incheon National University)
  • 방석용 (인천대학교 도시과학대학 건설환경공학부) ;
  • 범봉수 (경인여자대학교 보건환경과) ;
  • 김진한 (인천대학교 도시과학대학 건설환경공학부)
  • Received : 2019.08.06
  • Accepted : 2019.10.22
  • Published : 2019.10.15
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Abstract

In order to determine the location of average concentration and distribution status of dissolved oxygen in the rectangular aeration tank of the sewage treatment plant was analyzed and the difference of dissolved oxygen concentration was remarkable at each location. Compared with the computational fluid dynamics analysis, it was found that the results were consistent with the measurement results by showing the difference of dissolved oxygen concentration between the locations. Based on the measured data, the representative location of dissolved oxygen in aeration tank was selected by using statistical analysis method and the representative location was expressed in three-dimensional coordinates(LWH : 25%, 50%, 33%) from flow direction and left wall. Also the difference between the dissolved oxygen concentration at the actual measurement location and the average concentration value of the entire aeration tank was founded, and the equations for calibrating the automatic measurement data considering the actual measurement location were calculated.

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References

  1. Amand, L. and Carlsson, B. (2012). Optimal aeration control in a nitrifying activated sludge process, Water Res., 46, 2101-2110. https://doi.org/10.1016/j.watres.2012.01.023
  2. Barros, P.R. and Carlsson, R. (1998). Iterative design of a nitrate controller using an external carbon source in an activated sludge process, Water Sci. Technol., 37(12), 95-102. https://doi.org/10.1016/S0273-1223(98)00341-2
  3. Bhuyar, L.B., Thakre, S.B. and Ingole, N.W. (2009). Design characteristics of curved blade aerator w.r.t aeration efficiency and overall oxygen transfer coefficient and comparison with CFD modeling, Int. J. Eng. Sci Technol., 1(1), 1-15.
  4. Fikar, M., Chachuat, B. and Latifi, M.A. (2005). Optimal operation of alterating activated sludge processes, Control Eng. Pract., 13, 853-861. https://doi.org/10.1016/j.conengprac.2004.10.003
  5. Glover, G., Printemps, C., Essemiani, K. and Meinhold, J. (2006). Modelling of waste wtaer treatment plants-how far shall we go with sophisticated modelling tools?, Water Sci. Technol., 53(3), 79-89. https://doi.org/10.2166/wst.2006.078
  6. Henze, M., Gujer, W., Mino, T. and Loosdrecht, M. (2000). Activated sludge models ASM1, ASM2, ASM2d and ASM3, IWA Publishing, London. 16-22.
  7. Jensen, M.D., Ingildsen, P., Rasmussen, M.R. and Laursen, J. (2006). Computational fluid dynamics modelling of hydraulics and sedimentation in process reactors during aeration tank settling, Water Sci. Technol., 53(12), 257-264. https://doi.org/10.2166/wst.2006.428
  8. Karpinska, A.M and Bridgeman, J. (2016). CFD-aided modelling of acivated sludge systems, Water Res., 88, 861-879. https://doi.org/10.1016/j.watres.2015.11.008
  9. Kim, D. and Kim, S. (2019). Nitrification process analysis by respirometry in a sequencing batch reactor, Korean Soc. Water Wastewater, 33(1), 55-62. https://doi.org/10.11001/jksww.2019.33.1.055
  10. Kim, M.H., Ji, S.H. and Jang, J.H. (2014). A study on energy saving effect from automatic control of air flowrate and estimation of optimal DO concentration in oxic reactor of wastewater treatment plant, J. Energy Eng., 23(2), 49-56. https://doi.org/10.5855/ENERGY.2014.23.2.049
  11. Le Moullec, Y., Gentric, C., Potier, O. and Leclerc, J.P. (2010). CFD simulation of the hydrodynamics and reactions in an activated sludge channel reactor of wastewater treatment, Chem. Eng. Sci., 65(1), 492-498. https://doi.org/10.1016/j.ces.2009.03.021
  12. Lee, K.S., Kim, M.H., Kim, J.R. and Yoo, C.K. (2014). Optimal DO setpoint decision and electric cost saving in aerobic reactor using respirometer and air blower control, Korean Chem. Eng. Res., 52(5), 581-586. https://doi.org/10.9713/kcer.2014.52.5.581
  13. Lei, L. and Ni, J. (2014). Three dimensional three phase model for simulation of hydrodynamics, oxygen mass transfer, carbon oxidation, nitrification and denitrificaion in an oxidation ditch, Water Res., 53(0), 200-214. https://doi.org/10.1016/j.watres.2014.01.021
  14. Micheal, W., Alexander, L., Regina, N., Ulrike, P., Natuschka, L. and Holger, D. (2002). Microbial community composition and function in wastewater treatment plants, Antonie van Leeuwenhoek J. Microbiol., 81, 665-680. https://doi.org/10.1023/A:1020586312170
  15. Morchain, J., Maranges, C. and Fonade, C. (2000). CFD modelling of a two phase jet aerator under influence of a crossflow, Water Res., 34(13), 3460-3472. https://doi.org/10.1016/S0043-1354(00)00080-4
  16. Rosso, D., Stenstrom, M.K. and Larson, L.E. (2008). Aeration of large-scale municipal wastewater treatment plants: state of the art, Water Sci. Technol., 57, 973-978. https://doi.org/10.2166/wst.2008.218