DOI QR코드

DOI QR Code

A Study on Performance Estimation and Operation Strategy of Biological Aerated Filter Using Semi-Empirical Biofilm Model

준 경험 생물막 모델(Semi-Empirical Biofilm Model)을 이용한 BAF 운전평가 및 적정 운전방안 도출

  • Received : 2014.01.28
  • Accepted : 2014.04.16
  • Published : 2014.05.30

Abstract

The objective of this study is to find out whether the developed semi-empirical biofilm model can be applicable to real BAF pilot-scale wastewater treatment. In addition, the optimum operating conditions of BAF as a function of process variables such as organic loading change can be drawn based on the simulation results of model. The results will provide the economic and efficient BAF process design and operating control. As a result, developed semi-empirical biofilm model which is relatively simple compared to mathematical model can simulate three BAF processes consisted of 25 layers within 1 seconds. When this model was used for simulating real pilot scale BAF process and the simulated water quality values were compared to experimental ones, simulated TCOD, SCOD, TN, $NH_4{^+}$-N, $NO_x{^-}$-N, alkalinity values were different to experimental ones within 21%, 20%, 8.1%, 48%, 10%, and 23%, respectively. Therefore, if the BAF system was equipped with automatic control, the BAF process can be better efficiently adapted under the condition of significant change of influent loading.

Keywords

References

  1. Alex, J., Benedetti, L., Copp, J., Gernaey, K. V., Jeppsson, U., Nopens, I., Pons, M. N., Rieger, L., Rosen, C., Steyer, J. P., Vanrolleghem, P., and Winkler, S. (2008). Benchmark Simulation Model no.1 (BSM1), Department of Industrial Electrical Engineering and Automation Lund University, pp. 19-20.
  2. Dold, P. L. (1991). Incorporation of Biological Excess Phosphorus Removal in a General Activated Sludge Model, Department of Civil Engineering and Engineering Mechanics, McMaster University: Hamilton, Ontario, Canada, pp. 486-489.
  3. Hem, L., Rusten, B., and Odegaard, H. (1994). Nitrification in a Moving Bed Reactor, Water Research, 28, pp. 1425-1433. https://doi.org/10.1016/0043-1354(94)90310-7
  4. Henze, M., Gujer, W., Mino, T., and van Loosdrecht, M. (2000). Activated Sludge Models ASM1, ASM2, ASM2d and ASM3, IWA Publishmg, London, UK., pp. 10-15.
  5. Hidakaa, T. and Tsunoa, H. (2004). Development of a biological filtration model applied for advanced treatment of sewage, Water Research, 38, pp. 335-346. https://doi.org/10.1016/j.watres.2003.09.024
  6. Jung, C. S., Park, J. J., Ju, D. J., Kwon, S. Y., Choi, W. S., Byum, I. G., and Park, T. J. (2007). Effects of Nitrifying Bacterial Communities with Different HRTs and Backwashing Periods in Modified BAF Process, Korean Society of Water Environment, 23(6), pp. 920-926. [Korean Literature]
  7. Kim, M. O., Tian, D. J., Lee, B., Bae, J. H., and Jun, H. B. (2011). Anoxic Primary Clarifier - Aerated biofilter (APC-AF), Proceedings of the 2011 Spring Co-Conference of the Korean Society on Water Environment and Korean Society of Water and Wastewater, Korean Society on Water Environment and Korean Society of Water and Wastewater, pp. 69-70. [Korean Literature]
  8. Mann, A. T. and Stephenson, T. (1995). Modelling biological aerated filters for wastewater treatment, Water Research, 31, pp. 2443-2448. https://doi.org/10.1029/95WR02039
  9. Marais, G. V. R. and Ekama, G. A. (1976). The Activated Sludge Process: Part I-Steady State Behaviour, Water SA, 2, pp. 164-200.
  10. Odegaard, H., Rusten, B., and Westrum, T. (1994). A New Moving Bed Biofilm Reactor-Application and Results, Proceedings of the 2nd International Specialized Conference on Biofilm Reactors, Paris, France, pp. 221-229.
  11. Sen, D. and Randall, C. W. (2008a). Improved Computational Model (AQUIFAS) for Activated Sludge, IFAS and MBBR Systems, Part I: Semi-Empirical Model Development, Water Environment Research, 80, pp. 486-489, 493, 495.
  12. Sen, D. and Randall, C. W. (2008b). Improved Computational Model (AQUIFAS) for Activated Sludge, IFAS and MBBR Systems, Part II: Semi-Empirical Model Development, Water Environment Research, 80, pp. 624-632. https://doi.org/10.2175/106143008X268434
  13. Shen, J., He, R., Wang, L., Han, W., Li, J., and Sun, X. (2009). Kinetics of COD Removal in a Biological Aerated Filter in the Presence of 2,4,6-Trinitrophenol (Picric Acid), Chinese Journal of Chemical Engineering, 17, pp. 1021-1026. https://doi.org/10.1016/S1004-9541(08)60311-0
  14. Tchobanoglous, G. and Schroeder, E. D. (1985). Water Quality, Characteristics, Modeling, Modification, Addision-Wesley Publishing Company, Reading, MA.
  15. Wanga, C., Lib, J., Wangc, B., and Zhangd, G. (2005). Development of an empirical model for domestic wastewater treatment by biological aerated filter, Process Biochemistry, 41, pp. 778-782.
  16. Water Environment Federation (WEF). (2010). Biofilm Reactors, WEF Manual of Practice No.35, Water Environmental Federation, pp. 478-552.
  17. Wentzel, M. C., Ekama, G. A., and Marais, G. V. R. (1991). Kinetics of Nitrification Denitrification Biological Excess Phosphorus Removal Systems-A Review, Water Science and Technology, 23, pp. 555-565.
  18. Wilderer, P. A. (2003). Biofilms in Wastewater Treatment, IWA publishing, London, pp. 3-6.
  19. Yoo, I. K. (2014). Nitrification Characteristics Depending on Influent Nitrogen Concentration in a Biological Aerated Filter, Korean Society of Water Environment, 30(1), pp. 1-7. [Korean Literature] https://doi.org/10.15681/KSWE.2014.30.1.001
  20. Yang, J., Kang, B., Kang, H., Choi, M., and Lim, K. (2009). Fractional Experiments for Tertiary Treatment using the BAF Process, Proceedings of the 2009 Spring Co-Conference of the Korean Society on Water Environment and Korean Society of Water and Wastewater, Korean Society on Water Environment and Korean Society of Water and Wastewater, pp. 813-814. [Korean Literature]