Modelling of sanitary wastewater composition and operation of a small membrane bioreactor wastewater treatment plant with denitrification and nitrification Original scientific paper

Main Article Content

David Mitrinović
https://orcid.org/0000-0002-8097-2998
Marija Perović
https://orcid.org/0000-0003-2045-001X
Srđan Kovačević
https://orcid.org/0000-0002-5440-8752
Miodrag Popović
https://orcid.org/0000-0001-7544-4130
Zorana Radibratović

Abstract

The ratio of concentrations of total nitrogen and five-day biochemical oxygen demand in the sanitary wastewater of an energy infrastructure facility in Serbia is many times higher than usual, resulting in only half of the total nitrogen being eliminated in wastewater treatment plants (membrane bioreactor with anoxic and aerobic reactors) by denitrification. The first step of analysis was mathematical modelling of the composition and origins of the input wastewater. The model was developed based on the scientific literature data on composition of human excrement and the data on composition of water used for sanitary purposes. Next, it was successfully verified by comparisons to the experimental data of the wastewater composition. In the next step, a model for wastewater treatment simulation was created by using the BioWin software (Envirosim Associates, USA) in order to examine functioning of the plant and test the effects of several possible modifications of the process. A good agreement with the qualities of the influent and effluent determined by laboratory analyses was achieved after model calibration. The results of simulations showed a tenfold decrease in the total nitrogen concentration and a fortyfold decrease in the total phosphorous concentration in the effluent after introducing the following modifications to the simulated process: ferric chloride dosing, increasing dosing of acetate in the anoxic reactor by a factor of seven, increasing of the waste activated sludge rate by a factor of four and increasing the recircu-lation flow rate by a factor of three.


 

Article Details

Section

New methods in the process industry

How to Cite

[1]
D. Mitrinović, M. Perović, M. Popović, and Z. Radibratović, “Modelling of sanitary wastewater composition and operation of a small membrane bioreactor wastewater treatment plant with denitrification and nitrification: Original scientific paper”, Hem Ind, Jan. 2025, doi: 10.2298/HEMIND240423025M.

References

[1] ATV-DVWK-A 131E: Dimensioning of Single-Stage Activated Sludge Plants. 2000. ISBN 3-935669-96-8

[2] Rieger L, Takacs I, Villez K, Siegrist H, Lessard P, Vanrolleghem PA, Comeau Y. Data reconciliation for WWTP simulation studies and planning for high quality data and typical sources of errors. Water Environ Res. 2010; 82: 426-433 https://doi.org/10.2307/25679798.

[3] Choi Y-Y, Baek S-R, Kim J-I, Choi J-W, Hur J, Lee T-U, Park C-J, Lee BJ. Characteristics and Biodegradability of Wastewater Organic Matter in Municipal Wastewater Treatment Plants Collecting Domestic Wastewater and Industrial Discharge. Water. 2017; 9(6): 409 https://doi.org/10.3390/w9060409.

[4] Micha R, Khatibzadeh S, Shi P, Andrews KG, Engell RE, Mozaffarian D. Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE). Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide. BMJ Open. 2015; 5(9): e008705 https://doi.org/10.1136/bmjopen-2015-008705.

[5] Moncaleano DCC, Saket P, Rietveld L. Water Use Efficiency: A Review of Contextual and Behavioral Factors. Front Water. 2021; 3: 685650 https://doi.org/10.3389/frwa.2021.685650.

[6] Martin C, Vanrolleghem PA. Analysing, completing, and generating influent data for WWTP modelling: A critical review, Environ Modell Softw. 2014; 60: 188-201 https://doi.org/10.1016/j.envsoft.2014.05.008.

[7] Gernaey KV, Flores-Alsina X, Rosen C, Benedetti L, Jeppsson U. Dynamic influent pollutant disturbance scenario generation using a phenomenological modelling approach. Environ Modell Softw. 2011; 26: 1255-1267 https://doi.org/10.1016/j.envsoft.2011.06.001.

[8] De Keyser W, Gevaert V, Verdonck F, De Baets B, Benedetti L. An emission time series generator for pollutant release modelling in urban areas. Environ Modell Softw. 2010; 25: 554-561 https://doi.org/10.1016/j.envsoft.2009.09.009

[9] Devisscher M, Ciacci G, Fe L, Benedetti L, Bixio D, Thoeye C, De Gueldre G, Marsili-Libelli S, Vanrolleghem PA. Estimating costs and benefits of advanced control for wastewater treatment plants - the MAgIC methodology. Wat Sci Tech. 2006; 53 (4-5): 215-223 https://doi.org/10.2166/wst.2006.126.

[10] Mannina G, Cosenza A, Vanrolleghem PA, Viviani G. A practical protocol for calibration of nutrient removal wastewater treatment models. J Hydroinform. 2011; 13: 575-595 https://doi.org/10.2166/hydro.2011.041.

[11] Langergraber G, Alex J, Weissenbacher N, Woerner D, Ahnert M, Frehmann T, Halft N, Hobus I, Plattes M, Spering V, Winkler S. Generation of diurnal variation for influent data for dynamic simulation. Wat Sci Tech. 2008; 57 (9): 1483-1486 https://doi.org/10.2166/wst.2008.228.

[12] Faust V, Markus P, Schielke-Jenni S, Timmer MJ, De Paepe J, Ganigué R. Conditions for successful nitrogen removal from source-separated urine by partial nitritation/anammox. PLOS Water 2024; 3(5): e0000235 https://doi.org/10.1371/journal.pwat.0000235.

[13] Niwagaba CB. Treatment Technologies for Human Faeces and Urine. PhD Thesis, Swedish University of Agricultural Sciences, Sweden, Uppsala 2009. https://pub.epsilon.slu.se/2177/1/niwagaba_c_091123.pdf.

[14] Shrestha B, Hernandez R, Fortela DLB, Sharp W, Chistoserdov A, Gang D, Revellame E, Holmes WE, Zappi ME. Formulation of a Simulated Wastewater Influent Composition for Use in the Research of Technologies for Managing Wastewaters Generated during Manned Long-Term Space Exploration and Other Similar Situations-Literature-Based Composition Development. BioTech (Basel) 2023; 12 (1): 8 https://doi.org/10.3390/biotech12010008.

[15] Yildiz BS. Chapter 18 - Water and wastewater treatment: biological processes. In: Zeman F, ed. Metropolitan Sustainability: Woodhead Publishing Series in Energy, Woodhead Publishing; 2012: 406-428 https://doi.org/10.1533/9780857096463.3.406.

[16] Oleyiblo OJ, Cao J, Feng Q. Evaluation and improvement of wastewater treatment plant performance using BioWin. Chin J Ocean Limnol. 2015; 33: 468–476 https://doi.org/10.1007/s00343-015-4108-8.

[17] Moragaspitiya J, Rajapakse C, Senadeera W, Ali I. Simulation of Dynamic Behaviour of a Biological Wastewater Treatment Plant in South East Queensland, Australia using Bio-Win Software. Eng J. 2017; 21(3): 1-22 https://doi.org/10.4186/ej.2017.21.3.1.

[18] Lei L, Gharagozian A, Start B, Roth G, Emmett R. Process alternative comparisons assisted with Biowin modelling. In: Proceedings of the Water Environment Federation; 2006(9): 3274-3289 https://doi.org/10.2175/193864706783751573.

[19] Huang S, Pooi CK, Shi X, Varjani S, Ng HY. Performance and process simulation of membrane bioreactor (MBR) treating petrochemical wastewater, Sci Total Environ. 2020; 747:141311 https://doi.org/10.1016/j.scitotenv.2020.141311.

[20] Regulation on Emission Limit Values of Polluting Substances in Waters and Deadlines for Achieving Them. The Official Gazette of Republic Serbia. 2011; 67, 2012; 48, 2016; 1. https://www.paragraf.rs/propisi/uredba-granicnim-vrednostima-emisije-zagadjujucih-materija-u-vode.html.

[21] Regulation on the limit values of pollutants in surface and ground waters and sediment and deadlines for reaching them. The Official Gazette of Republic of Serbia. 2012; 50. https://www.paragraf.rs/propisi/uredba-granicnim-vrednostima-zagadjujucih-materija-vodama.html.

[22] Law on Water. The Official Gazette of Republic Serbia. 2010; 30, 2012; 93, 2016; 101, 2018; 95, 2018; 95. https://www.paragraf.rs/propisi/zakon_o_vodama.html.

[23] Rule book for determination of ecological and chemical status parameters for surface waters and determination of chemical and quantitative status parameters for groundwater. The Official Gazette of Republic of Serbia. 2011; 74. https://www.paragraf.rs/propisi/pravilnik-o-parametrima-ekoloskog-i-hemijskog-statusa-povrsinskih-voda-podzemnih-voda.html.

[24] Gajewska M. Influence of composition of raw wastewater on removal of nitrogen compounds in multistage treatment wetlands. Environ Prot Eng. 2015; 41(3): 19-30 https://doi.org/10.37190/epe150302.

[25] Rose C, Parker А, Jefferson B, Cartmell Е. The Characterization of Feces and Urine: A Review of the Literature to Inform Advanced Treatment Technology. Crit Rev Environ Sci Technol. 2015; 45: 1827–79 https://doi.org/10.1080/10643389.2014.1000761.

[26] Kuntke P. Nutrient and energy recovery from urine. PhD thesis, Wageningen University, Wageningen, NL; 2013 https://edepot.wur.nl/254782.

[27] Hassan SSM, Abdel-Shafy HI, Mansour MSM. Removal of pharmaceutical compounds from urine via chemical coagulation by green synthesized ZnO-nanoparticles followed by microfiltration for safe reuse. Arab J Chem. 2019; 12(8): 4074-4083 http://dx.doi.org/10.1016/j.arabjc.2016.04.009.

[28] Rulebook on quality of drinking water. The Official Gazette of Republic of Serbia. 1998; 42, 1999; 44 and 2019; 28 https://www.paragraf.rs/propisi/pravilnik-higijenskoj-ispravnosti-vode-pice.html.

[29] Hollingham M. Effect of organic carbon substrates on denitrification rates in sediment. PhD thesis, University of Waterloo, Ontario, Canada; 2013 https://uwspace.uwaterloo.ca/bitstream/handle/10012/8217/Hollingham_Melisa.pdf?sequence=5&isAllowed=y.

[30] Inc. Metcalf & Eddy, Tchobanoglou G, Stensel H, Tsuchihashi R, Burton F, Abu-Orf M, Bowden G, Pfrang W. Wastewater Engineering: Treatment and Resource Recovery. 5th ed., New York, NY, USA: McGraw-Hill Education; 2014: 634. https://www.amazon.com/Wastewater-Engineering-Treatment-Resource-Recovery/dp/0073401188

[31] Inc. EnviroSim Associates. BioWin Help Manual https://www.envirosim.com/downloads/BW5Manual.pdf.

[32] Dubber D, Gray NF. Replacement of chemical oxygen demand (COD) with total organic carbon (TOC) for monitoring wastewater treatment performance to minimize disposal of toxic analytical waste. J Environ Sci Health, Part A Tox Hazard Subst. Environ Eng. 2010; 45(12): 1595-1600 http://dx.doi.org/10.1080/10934529.2010.506116.

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