Two-Dimensional Steady-State Analysis of Selected Wastewater State Variables Using ASM3

Abstract:

Performance of activated sludge wastewater treatment plants are mainly dependent on bacterial growth, which is limited by many factors. These factors include availability of suitable substrate, limiting nutrients, environmental conditions, and energy. In activated sludge model no. 3 (ASM3), constituents in wastewater are divided into two main categories: carbonaceous compounds and nitrogenous compounds, which are further subdivided depending on their solubility and biodegradability. These compounds are not mutually independent; hence, the fate of one compound in the biological processes is affected by one or more of the other compounds. In this study, a steady-state analysis was conducted to investigate the effect of initial readily biodegradable substrate, oxygen, ammonia nitrogen, nitrite plus nitrate, and heterotrophic organisms’ concentrations on the effluent concentrations of readily biodegradable COD and nitrogen compounds. The studied ranges of the selected wastewater state variables were identified based on literature surveys including previous studies concerning domestic, industrial, and synthetic wastewaters. The results proved that the effluent readily biodegradable substrate and ammonia nitrogen concentrations are reduced as the initial dissolved oxygen and nitrite plus nitrate concentrations are increased. Moreover, better nitrification-denitrification process is achieved at lower initial readily biodegradable concentration leading to lower nitrite plus nitrate concentrations.

• Periodical: International Journal of Engineering Research in Africa (Volume 54)
• Pages: 176-186
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.54.176
• Online since: June 2021
• Authors: Nagwan G. Mostafa*, Ahmed G. Radwan, Mona M. Galal
• Keywords: ASM3, COD Removal, Nitrogen Removal, State Variables, Steady-State

References

[1] M. Henze, P. Harremoës, J. la Cour Jansen, E. Arvin, Wastewater Treatment: Biological and Chemical Processes, third ed., Springer-Verlag, Berlin, (2002).

DOI: 10.1007/978-3-662-04806-1

[2] M.M. El-Seddik, M.M. Galal, A.G. Radwan, H.S. Abdel-Halim, Fractional-Order Model (FOM) for high-strength substrate biodegradation in conventional UASB reactor, Biochem. Eng. J. 133 (2018) 39-46. https://doi.org/10.1016/j.bej.2018.01.032.

DOI: 10.1016/j.bej.2018.01.032

[3] K. Krysiak-Baltyn, G.J.O. Martin, A.D. Stickland, P.J. Scales, S.L. Gras, Simulation of phage dynamics in multi-reactor models of complex wastewater treatment systems, Biochem. Eng. J. 122 (2017) 91-102. https://doi.org/10.1016/j.bej.2016.10.011.

DOI: 10.1016/j.bej.2016.10.011

[4] D. Jenkins, J. Wanner, Activated sludge: 100 years and Counting, IWA Pub, London, (2014).

[5] D.j. Kapumbe, L. Min, X. Zhang, M.A. Kisoholo, L. Yongfeng, Modeling and simulation of membrane bioreactor model based on ASM3 for domestic wastewater treatment, Appl. Ecol. Environ. Res. 17 (2019) 11395-11407. http://dx.doi.org/10.15666/aeer/1705_1139511407.

DOI: 10.15666/aeer/1705_1139511407

[6] S.W. How, J.H. Sin, S.Y.Y. Wong, P.B. Lim, A.M. Aris, G.C. Ngoh, T. Shoji, T.P. Curtis, A.S.M. Chua, Characterization of slowly-biodegradable organic compounds and hydrolysis kinetics in tropical wastewater for biological nitrogen removal. Water Sci. Technol. 81 (2020) 71–80. https://doi.org/10.2166/wst.2020.077.

DOI: 10.2166/wst.2020.077

[7] I.I. Shpakovskaya and D.M. Loseva, Simulation of Biological Wastewater Treatment of Oil Refineries and Oil Producing Enterprises, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), Saint Petersburg and Moscow, Russia, (2019) 677-680,.

DOI: 10.1109/eiconrus.2019.8656702

[8] N.G. Mostafa, Development of a generalized reduced ASM3 and IASM3-S for municipal-industrial wastewater application, PhD thesis, Cairo University, Giza, Egypt, (2016).

[9] N.G. Mostafa, M.M. Galal, A.G. Radwan, E.M. Rashed, Comparison and Database Development of Four Recent ASM3 Model Extensions, J. Environ. Eng. (2016).

DOI: 10.1061/(asce)ee.1943-7870.0001087

[10] W. Wu, Development of a plant-wide steady-state wastewater treatment plant design and analysis program, University of Cape Town, (2015).

[11] M. Henze, W. Gujer, T. Mino, M. van Loosdrecht, Activated sludge models ASM1, ASM2, ASM2d and ASM3, IWA Publishing, London, U.K, (2000).

DOI: 10.2166/9781780402369

[12] Y. Lv, S. Zhang, K. Xie, G. Liu, L. Qiu, Y. Liu, Y, Zhang, Establishment of nitrous oxide (N2O) dynamics model based on ASM3 model during biological nitrogen removal via nitrification, Environ. Technol., (2020).

DOI: 10.1080/09593330.2020.1822447

[13] M. Buaisha, S. Balku, S. Özalp-Yaman, Heavy Metal Removal Investigation in Conventional Activated Sludge Systems, Civ. Eng. J., 6(2020).

DOI: 10.28991/cej-2020-03091484

[14] M. Henze, Biological Wastewater Treatment: Principles, Modelling and Design, IWA publishing, London, UK, (2008).

[15] Y. Peng, W. Zeng, S. Wang, DO concentration as a fuzzy control parameter for organic substrate removal in SBR processes, Environ. Eng. Sci. 21 (2004) 606-616.

DOI: 10.1089/ees.2004.21.606

[16] M. Singh, R.K, Srivastava, Sequencing batch reactor technology for biological wastewater treatment: a review, ASIA-PAC J. Chem. Eng. (2011).

[17] O. Sánchez,N. Bernet, J.P. Delgenès, Effect of dissolved oxygen concentration on nitrite accumulation in nitrifying sequencing batch reactor, Water Environ. Res. 79 (2007) 845-850.

DOI: 10.2175/106143007x175807

[18] R.C. Jin, P. Zheng, A.H. Hu, Mahmood, B.L. Hu, G. Jilani, Performance comparison of two anammox reactors: SBR and UBF, Chem. Eng. J. 138 (2008) 224-230.

DOI: 10.1016/j.cej.2007.06.038

[19] D. Obaja, S. Macé, J. Mata-Alvarez, Biological nutrient removal by a sequencing batch reactor (SBR) using an internal organic carbon source in digested piggery wastewater, Bioresour. Technol. 96 (2005) 7–14.

DOI: 10.1016/j.biortech.2004.03.002

[20] T. Jiang, X. Liu, M.D. Kennedy, J.C. Schippers, P.A. Vanrolleghem, Calibrating a side-stream membrane bioreactor using Activated Sludge Model No. 1, Water Sci. Technol. 52 (2005) 359–367.

DOI: 10.2166/wst.2005.0712

[21] P.J. Roeleveld, M.C.M. van Loosdrech, Experience with guidelines for wastewater characterisation in the Netherlands, Water Sci. Technol. 45(2002) 77-87.

DOI: 10.2166/wst.2002.0095