Modeling and simulation of an extended ASM2d model for the treatment of wastewater under different COD: N ratio

Zhang, X; Nan, J; Liu, T; Xiao, Q; Liu, B; He, X; Ngo, HH; Ding, A

Modeling and simulation of an extended ASM2d model for the treatment of wastewater under different COD: N ratio

Zhang, X Nan, J Liu, T Xiao, Q Liu, B He, X Ngo, HH Ding, A

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Journal of Water Process Engineering, 2021, 40, pp. 101831-101831
Issue Date:: 2021

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Field	Value	Language
dc.contributor.author	Zhang, X
dc.contributor.author	Nan, J
dc.contributor.author	Liu, T
dc.contributor.author	Xiao, Q
dc.contributor.author	Liu, B
dc.contributor.author	He, X
dc.contributor.author	Ngo, HH
dc.contributor.author	Ding, A
dc.date.accessioned	2021-12-07T06:20:23Z
dc.date.available	2021-12-07T06:20:23Z
dc.date.issued	2021
dc.identifier.citation	Journal of Water Process Engineering, 2021, 40, pp. 101831-101831
dc.identifier.issn	2214-7144
dc.identifier.uri	http://hdl.handle.net/10453/152194
dc.description.abstract	© 2020 Elsevier Ltd We evaluated the impact of chemical oxygen demand (COD) to nitrogen (N) ratios on the performance of a laboratory-scale anaerobic/anoxic/oxic (A2O) reactor by establishing an extended ASM2d model. This extended model introduced soluble microbial products (SMPs) and extracellular polymeric substances (EPS) to create the ASM2d-E-M. Other variables were introduced in the model to describe processes that already exist in the ASM2d, and those that were previously missing (e.g. EPS/SMP). To improve the accuracy of the simulation, this study included the establishment of the model, the division of model components, a sensitivity analysis, and model calibration and verification. The average errors of COD, ammonia and orthophosphate concentrations between the steady-state simulation data and experimental data, under different COD: N ratios were 7.42 %, 13.2 % and 9.18 %, respectively. Additionally, the average errors from the EPS and SMP simulation results were lower than 1.50 % and 2.59 %, respectively. The dynamic simulation results indicate that effluent COD, ammonia, orthophosphate and biopolymer concentrations decrease with an increase in influent COD: N ratio. But orthophosphate increases when COD: N increases to 16:1. Comparing the steady-state simulation and dynamic simulation of the model with the experimental procedure confirms that the model effectively describes the biological processes in an A2O reactor, accurately predicts SMP and EPS production in the activated sludge system under different COD: N ratios and provides a valuable tool for the operation.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Journal of Water Process Engineering
dc.relation.isbasedon	10.1016/j.jwpe.2020.101831
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0905 Civil Engineering, 0907 Environmental Engineering
dc.title	Modeling and simulation of an extended ASM2d model for the treatment of wastewater under different COD: N ratio
dc.type	Journal Article
utslib.citation.volume	40
utslib.for	0905 Civil Engineering
utslib.for	0907 Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2023-01-01T00:00:00+1000Z
dc.date.updated	2021-12-07T06:20:21Z
pubs.publication-status	Published
pubs.volume	40

Abstract:

© 2020 Elsevier Ltd We evaluated the impact of chemical oxygen demand (COD) to nitrogen (N) ratios on the performance of a laboratory-scale anaerobic/anoxic/oxic (A2O) reactor by establishing an extended ASM2d model. This extended model introduced soluble microbial products (SMPs) and extracellular polymeric substances (EPS) to create the ASM2d-E-M. Other variables were introduced in the model to describe processes that already exist in the ASM2d, and those that were previously missing (e.g. EPS/SMP). To improve the accuracy of the simulation, this study included the establishment of the model, the division of model components, a sensitivity analysis, and model calibration and verification. The average errors of COD, ammonia and orthophosphate concentrations between the steady-state simulation data and experimental data, under different COD: N ratios were 7.42 %, 13.2 % and 9.18 %, respectively. Additionally, the average errors from the EPS and SMP simulation results were lower than 1.50 % and 2.59 %, respectively. The dynamic simulation results indicate that effluent COD, ammonia, orthophosphate and biopolymer concentrations decrease with an increase in influent COD: N ratio. But orthophosphate increases when COD: N increases to 16:1. Comparing the steady-state simulation and dynamic simulation of the model with the experimental procedure confirms that the model effectively describes the biological processes in an A2O reactor, accurately predicts SMP and EPS production in the activated sludge system under different COD: N ratios and provides a valuable tool for the operation.

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http://hdl.handle.net/10453/152194