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Hydrodynamics and parametric study of an activated sludge process using residence time distribution technique

  • Sarkar, Metali (Department of Chemical Engineering, Thapar Institute of Engineering and Technology) ;
  • Sangal, Vikas K. (Department of Chemical Engineering, Malaviya National Institute of Technology) ;
  • Bhunia, Haripada (Department of Chemical Engineering, Thapar Institute of Engineering and Technology)
  • Received : 2019.03.20
  • Accepted : 2019.05.28
  • Published : 2020.06.30

Abstract

Hydrodynamic study of Activated Sludge Process (ASP) is important to optimize the reactor performance and detect anomalies in the system. Residence time distribution (RTD) study has been performed using LiCl as tracer on a pilot scale aeration tank (AT) and ASP, treating the pulp and paper mill effluent. The hydraulic performance and treatment efficiency of the AT and ASP at different operating parameters like residence time, recycle rate was investigated. Flow anomalies were identified and based on the experimental data empirical models was suggested to interpret the hydrodynamics of the reactors using compartment modelling technique. The analysis of the RTD curves and the compartment models indicated increase in back-mixing ratio as the mean hydraulic retention time (MHRT) of the tank was increased. Bypassing stream was observed at lower MHRT. The fraction of dead zone in the tank increased by approximate 20-25% with increase in recycle rate. The fraction of the stagnant zone was found well below 5% for all performed experiments, which was under experimental error. The substrate removal of 91% for Chemical oxygen demand and 96% for Biochemical oxygen demand were observed for the ASP working at a hydraulic mean residence time 39 h MRT with a 20% recycling of activated sludge.

Keywords

References

  1. Bode H, Seyfried CF. Mixing and detention time distribution in activated sludge tanks. Water Sci. Technol. 1985;17:197-208. https://doi.org/10.2166/wst.1985.0130
  2. Hynninen P, Luonsi A, Vuoriranta P. Reduction of pulp and paper industry effluent loading. Water Sci. Technol. 1986;18:109-125.
  3. Olivet D, Valls, Gordillo J, Freixo M, Sanchez A. Application of residence time distribution technique to the study of the hydrodynamic behaviour of a full-scale wastewater treatment plant plug-flow bioreactor. J. Chem. Technol. Biotechnol. 2005;80:425-432. https://doi.org/10.1002/jctb.1201
  4. Sanchez F, Viedma A, Kaiser A. Hydraulic characterization of an activated sludge reactor with recycling system by tracer experiment and analytical models. Water Res. 2016;101: 382-392. https://doi.org/10.1016/j.watres.2016.05.094
  5. Burrows L, Stokes A, West J, Forster C, Martin A. Evaluation of different analytical methods for tracer studies in aeration lanes of activated sludge plants. Water Res. 1999;33:367-374. https://doi.org/10.1016/S0043-1354(98)00249-8
  6. Karpinska AM, Bridgeman J. CFD-aided modelling of activated sludge systems-A critical review. Water Res. 2016;88:861-879. https://doi.org/10.1016/j.watres.2015.11.008
  7. Bai H, Stephenson A, Jimenez J, Jewell D, Gillis P. Modeling flow and residence time distribution in an industrial-scale reactor with a plunging jet inlet and optional agitation. Chem. Eng. Res. Des. 2008;86:1462-1476. https://doi.org/10.1016/j.cherd.2008.08.012
  8. Fu H, Ma L, Wang H. Experimental and numerical studies of residence time in SK direct contact heat exchanger for heat pump. Chem. Eng. Res. Des. 2018;135:94-102. https://doi.org/10.1016/j.cherd.2018.05.013
  9. Youssef Z, Ducept F, Bennaceur H, et al. Residence time distribution in a biomass pretreatment reactor: Experimentation and modeling. Chem. Eng. Res. Des. 2017;125:233-244. https://doi.org/10.1016/j.cherd.2017.07.015
  10. International Atomic Energy Agency. Radiotracer residence time distribution method for industrial and environmental applications. Vienna: IAEA; 2008.
  11. Jung SH, Jin JH, Kim JB. Radiotracer study on the efficiency of anaerobic sludge digester after cleaning up. J. Korean Soc. Environ. Eng. 2001;10:1641-1648.
  12. Othman N, Kamarudin S, Engku Chik E, Adnan M, Rosli M, Takriff M. Mathematical models of residence time distribution of integrated impeller mixing vessel using radiotracer. In: 6th International Conference on Process Systems Engineering (PSE ASIA), 25-27 June 2013; Kuala Lumpur.
  13. Othman N, Kamarudin SK. Radiotracer technology in mixing processes for industrial applications. Sci. World J. 2014;8:768604.
  14. Schraa O, Rieger L, Alex J. Development of a model for activated sludge aeration systems: Linking air supply, distribution, and demand. Water Sci. Technol. 2017;75:552-560. https://doi.org/10.2166/wst.2016.481
  15. Horan N, Parr J, Naylor P. Evaluation of tracers for the determination of the mixing characteristics of activated sludge reactors. Environ. Technol. 1991;12:603-608. https://doi.org/10.1080/09593339109385046
  16. Kasban H, Zahran O, Arafa H, El-Kordy M, Elaraby SM, El-Samie FA. Laboratory experiments and modeling for industrial radiotracer applications. Appl. Radiat. Isot. 2010;68:1049-1056. https://doi.org/10.1016/j.apradiso.2010.01.044
  17. Fogler HS. Essentials of chemical reaction engineering. Westford: Pearson Education; 2011.
  18. Levenspiel O. Chemical Reaction Engineering. 3rd ed. New York: John Wiley & Sons; 1999.
  19. Mjalli FS, Al-Asheh S, Alfadala H. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. J. Environ. Manage. 2007;83:329-338. https://doi.org/10.1016/j.jenvman.2006.03.004
  20. Collivignarelli M, Bertanza G, Abba A, Damiani S. Troubleshooting in a full-scale wastewater treatment plant: What can be learnt from tracer tests. Int. J. Environ. Sci. Technol. 2018:1-12.
  21. Kjellstrand R, Mattsson A, Niklasson C, Taherzadeh MJ. Short circuiting in a denitrifying activated sludge tank. Water Sci. Technol. 2005;52:79-87.
  22. Khudenko B, Shpirt E. Hydrodynamic parameters of diffused air systems. Water Res. 1986;20:905-915. https://doi.org/10.1016/0043-1354(86)90180-6
  23. Knap M, Balbierz P. Modification of Rhodamine WT tracer tests procedure in activated sludge reactors. In: E3S Web of Conferences; 7 November 2017; EDP Sciences.
  24. Moreira R, Pinto AM, Mesnier R, Leclerc JP. Influence of inlet positions on the flow behavior inside a photoreactor using radiotracers and colored tracer investigations. Appl. Radiat. Isot. 2007;65:419-427. https://doi.org/10.1016/j.apradiso.2006.09.012
  25. Farooq M, Khan I, Din GU, Gul S, Palige J, Dobrowolski A. Radiotracer investigations of municipal sewage treatment stations. Nukleonika 2003;1:57-61.
  26. Gresch M, Braun D, Gujer W. Using reactive tracers to detect flow field anomalies in water treatment reactors. Water Res. 2011;45:1984-1994. https://doi.org/10.1016/j.watres.2010.11.017
  27. Fracz P, Wotzka D. Determination of hydrodynamic model based on tracer test performed in WWT plant in Kedzierzyn Kozle, Poland [dissertation]. Ponzan: Poznan Univ. of Technology; 2016.
  28. Kappeler J, Gujer W. Estimation of kinetic parameters of heterotrophic biomass under aerobic conditions and characterization of wastewater for activated sludge modelling. Water Sci. Technol. 1992;25:125-139. https://doi.org/10.2166/wst.1992.0118
  29. Mustafa IH, Ibrahim G, Elkamel A, Elahwany A. Heterogeneous modeling, identification and simulation of activated sludge processes. American J. Environ. Sci. 2009;5:352-363. https://doi.org/10.3844/ajessp.2009.352.363
  30. Raggul N, Saraswathi R. Microbial analysis and parametric optimization of activated sludge process in paper and pulp mill effluent plant: A case study. Desal. Water Treat. 2016;57: 12518-12535. https://doi.org/10.1080/19443994.2015.1054889
  31. Sarkar M, Sangal VK, Bhunia H, et al. Radiotracer investigation of a pulp and paper mill effluent treatment plant. Nukleonik 2017;62:289-294. https://doi.org/10.1515/nuka-2017-0042
  32. Sarkar M, Sangal VK, Sharma VK, et al. Radiotracer investigation and modeling of an activated sludge system in a pulp and paper industry. Appl. Radiat. Isot. 2017;130:270-275. https://doi.org/10.1016/j.apradiso.2017.10.016
  33. Teefy S. Tracer studies in water treatment facilities: A protocol and case studies. Denver (CO): American Water Works Association; 1996.
  34. Karches T, Buzas K. Investigation of residence time distribution and local mean age of fluid to determine dead-zones in Flow Field. Int. J. Comput. Meth. Exp. Measure. 2013;1:132-141. https://doi.org/10.2495/CMEM-V1-N2-132-141
  35. Biemer JJ. Antimicrobial susceptibility testing by the Kirby-Bauer disc diffusion method. Ann. Clin. Lab. Sci. 1973;3:135-140.
  36. Bonev B, Hooper J, Parisot J. Principles of assessing bacterial susceptibility to antibiotics using the agar diffusion method. J. Antimicrob. Chemoth. 2008;61:1295-1301. https://doi.org/10.1093/jac/dkn090
  37. Leclerc J, Schweich D, Bernard A, Detrez C. DTS: A Software package for flow simulation in reactors. Oil & Gas Science and Technology - Rev. IFP, 1995;50:641-656.
  38. APHA. Standard Methods for the Examination of Water and Wastewater 14 ed. APHA American Public Health Association, 1976.
  39. Abu-Reesh IM, Abu-Sharkh BF. Comparison of axial dispersion and tanks-in-series models for simulating the performance of enzyme reactors. Ind. Eng. Chem. Res. 2003;42:5495-5505. https://doi.org/10.1021/ie030131j
  40. Makinia J, Wells SA. Evaluation of empirical formulae for estimation of the longitudinal dispersion in activated sludge reactors. Water Res. 2005;39:1533-1542. https://doi.org/10.1016/j.watres.2005.01.028
  41. De Clercq J, Coen F, Vanderhaegen B, et al. Detailed spatio-temporal solids concentration profiling during batch settling of activated sludge using a radiotracer. Water Res. 2005;39: 2125-2135. https://doi.org/10.1016/j.watres.2005.03.023

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