Model of Aeration Tank for Activated Sludge Process

Author(s): Ashraf Amin, S.I. Hawash, Mona A. Abdel-Fatah*.

Journal Name: Recent Innovations in Chemical Engineering
Formerly: Recent Patents on Chemical Engineering

Volume 12 , Issue 4 , 2019

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Graphical Abstract:


Abstract:

Background and Objective: A model for the activated sludge aeration reactor is developed to study the effect of operating conditions on biodegradable organic pollutants treatment.

Methods: The model was developed and fitted using an experimental study conducted for wastewater collected from meat processing industrial units in Egypt. Inlet biomass and substrate concentrations are the operating parameters considered in our study.

Results: After treatment; biomass outlet concentration was reduced substantially. After reaching steady-state operation, outlet biomass concentration was not affected by the inlet biomass concentration, while outlet substrate concentration showed great dependency on the inlet substrate concentration. The model agrees well with the experimental data collected from an industrial activated sludge treatment unit.

Conclusion: By varying process parameters, the model can be used effectively to predict and optimize the system behavior under different operating conditions. Varying the substrate concentration may lead to optimizing the process conditions for the system under study.

Keywords: Kinetic model, activated sludge, aeration process, statistics, wastewater, microorganisms.

[1]
Derco J, Kralik M, Hutnan M, Gubova P. Dynamic modelling of activated sludge process I. Nonlinear kinetics models. Chem Pap 1990; 44(3): 409-20.
[2]
Mona AA, Marwa ME, Al Bazedi GA, Hawash SI. Sewage water treatment plant using diffused air system. J Eng Appl Sci (Asian Res Publ Netw) 2016; 11(17): 10501-6.
[3]
Wenchen D, Xiaochen X, Fenglin Y. High-rate contact stabilization process-coupled membrane bioreactor for maximal recovery of organics from municipal wastewater. Water 2018; 10(7): 878.
[http://dx.doi.org/10.3390/w10070878]
[4]
Tchobanoglous G, Burton F, Stensel H. Wastewater Engineering: Treatment and Resource Recovery. 5th ed. McGraw-Hill Education 2003.
[5]
Kumar B, Gopa D. Effective role of indigenous microorganisms for sustainable environment. Biotech 2015; 5(6): 867-76.
[6]
Mona AA, Sherif HO, Hawash SI. Design parameters for waste effluent treatment unit from beverages production. Ain Shams Eng J 2017; 8(3): 305-10.
[http://dx.doi.org/10.1016/j.asej.2016.04.008]
[7]
Gougoulias C, Clark JM, Shaw LJ. The role of soil microbes in the global carbon cycle: Tracking the below-ground microbial processing of plant-derived carbon for manipulating carbon dynamics in agricultural systems. J Sci Food Agric 2014; 94(12): 2362-71.
[http://dx.doi.org/10.1002/jsfa.6577] [PMID: 24425529]
[8]
Ersahin M, Ozgun H, Dereli R, Ozturk I. Anaerobic treatment of industrial effluents: An overview of applications. Waste Water-Treatment and Utilization 2011.
[9]
Sperling M. Biological wastewater treatment series. Activated Sludge and Aerobic Biofilm Reactors 2007; Vol. 5.
[10]
Alban K. Simulink application on dynamic modeling of biological waste water treatment for aerator tank case. Intl J Sci Technol Res 2014; 3(11): 69-72.
[11]
Alban K, Irma K, Elisabeta P. Simulink programing for dynamic modelling of activated sludge process: Aerator and settler tank case. Fresenius Environ Bull 2016; 25(8): 2891-9.
[12]
Makinia J, Wells SA, Crawford D, Kulbik M. Application of mathematical modeling and computer simulation for solving water quality problems. Fourth International Symposium and Exhibition on Environmental Contamination in Central and Eastern Europe Warsaw September 15-7.1998;
[13]
Banadda N, Nhapi I, Kimwaga R. A review of modeling approaches in activated sludge Systems. Afr J Environ Sci Technol 2011; 5(6): 397-408.
[14]
Shankhadeep DHB, Chunliang W. Improving the performance of industrial clarifiers using three-dimensional computational fluid dynamics. Eng Appl Comput Fluid Mech 2016; 10(1)
[15]
Alkhalaf A, Specht E. Prediction of cross flow mixing in the structured packed bed through CFD simulation using (FBM and PMM) and validation with experiments. Eng Appl Comput Fluid Mech 2017; 11(1)
[http://dx.doi.org/10.1080/19942060.2016.1236750]
[16]
Anna MK, John B. Towards a robust CFD model for aeration tanks for sewage treatment-a lab-scale study. Eng Appl Comput Fluid Mech 2017; 11(1): 371-95.
[http://dx.doi.org/10.1080/19942060.2017.1307282]
[17]
Viet HN, Hidenori H, Van TL, et al. Dynamic estimation of hourly fluctuation of influent biodegradable carbonaceous and nitrogenous materials using activated sludge system. J Water Environ Technol 2019; 17(1): 40-53.
[http://dx.doi.org/10.2965/jwet.18-050]
[18]
Nelson MI, Sidhu HS, Watt S, Hai FI. Performance analysis of the activated sludge model (number 1). Food Bioprod Process 2019; 116: 41-53.
[http://dx.doi.org/10.1016/j.fbp.2019.03.014]


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Article Details

VOLUME: 12
ISSUE: 4
Year: 2019
Page: [326 - 337]
Pages: 12
DOI: 10.2174/2405520412666190828210125
Price: $65

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