A novel protocol for model calibration in biological wastewater treatment.

Zhu, A; Guo, J; Ni, B-J; Wang, S; Yang, Q; Peng, Y

A novel protocol for model calibration in biological wastewater treatment.

Zhu, A Guo, J Ni, B-J Wang, S Yang, Q Peng, Y

Permalink

Publisher:: NATURE PUBLISHING GROUP
Publication Type:: Journal Article
Citation:: Sci Rep, 2015, 5, (1), pp. 8493
Issue Date:: 2015-02-16

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (2.96 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Zhu, A
dc.contributor.author	Guo, J
dc.contributor.author	Ni, B-J
dc.contributor.author	Wang, S
dc.contributor.author	Yang, Q
dc.contributor.author	Peng, Y
dc.date.accessioned	2023-03-27T00:57:13Z
dc.date.available	2015-01-20
dc.date.available	2023-03-27T00:57:13Z
dc.date.issued	2015-02-16
dc.identifier.citation	Sci Rep, 2015, 5, (1), pp. 8493
dc.identifier.issn	2045-2322
dc.identifier.issn	2045-2322
dc.identifier.uri	http://hdl.handle.net/10453/168509
dc.description.abstract	Activated sludge models (ASMs) have been widely used for process design, operation and optimization in wastewater treatment plants. However, it is still a challenge to achieve an efficient calibration for reliable application by using the conventional approaches. Hereby, we propose a novel calibration protocol, i.e. Numerical Optimal Approaching Procedure (NOAP), for the systematic calibration of ASMs. The NOAP consists of three key steps in an iterative scheme flow: i) global factors sensitivity analysis for factors fixing; ii) pseudo-global parameter correlation analysis for non-identifiable factors detection; and iii) formation of a parameter subset through an estimation by using genetic algorithm. The validity and applicability are confirmed using experimental data obtained from two independent wastewater treatment systems, including a sequencing batch reactor and a continuous stirred-tank reactor. The results indicate that the NOAP can effectively determine the optimal parameter subset and successfully perform model calibration and validation for these two different systems. The proposed NOAP is expected to use for automatic calibration of ASMs and be applied potentially to other ordinary differential equations models.
dc.format	Electronic
dc.language	eng
dc.publisher	NATURE PUBLISHING GROUP
dc.relation	http://purl.org/au-research/grants/arc/DP130103147
dc.relation.ispartof	Sci Rep
dc.relation.isbasedon	10.1038/srep08493
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.mesh	Wastewater
dc.subject.mesh	Water Purification
dc.subject.mesh	Water Purification
dc.subject.mesh	Wastewater
dc.subject.mesh	Wastewater
dc.subject.mesh	Water Purification
dc.title	A novel protocol for model calibration in biological wastewater treatment.
dc.type	Journal Article
utslib.citation.volume	5
utslib.location.activity	England
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	*
dc.date.updated	2023-03-27T00:57:08Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	5
utslib.citation.issue	1

Abstract:

Activated sludge models (ASMs) have been widely used for process design, operation and optimization in wastewater treatment plants. However, it is still a challenge to achieve an efficient calibration for reliable application by using the conventional approaches. Hereby, we propose a novel calibration protocol, i.e. Numerical Optimal Approaching Procedure (NOAP), for the systematic calibration of ASMs. The NOAP consists of three key steps in an iterative scheme flow: i) global factors sensitivity analysis for factors fixing; ii) pseudo-global parameter correlation analysis for non-identifiable factors detection; and iii) formation of a parameter subset through an estimation by using genetic algorithm. The validity and applicability are confirmed using experimental data obtained from two independent wastewater treatment systems, including a sequencing batch reactor and a continuous stirred-tank reactor. The results indicate that the NOAP can effectively determine the optimal parameter subset and successfully perform model calibration and validation for these two different systems. The proposed NOAP is expected to use for automatic calibration of ASMs and be applied potentially to other ordinary differential equations models.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168509