A novel mechanistic model for nitrogen removal in algal-bacterial photo sequencing batch reactors

Peng, L; Ngo, HH; Guo, WS; Liu, Y; Wang, D; Song, S; Wei, W; Nghiem, LD; Ni, BJ

A novel mechanistic model for nitrogen removal in algal-bacterial photo sequencing batch reactors

Peng, L Ngo, HH

Guo, WS

Liu, Y

Wang, D Song, S Wei, W Nghiem, LD

Ni, BJ

Permalink

Publication Type:: Journal Article
Citation:: Bioresource Technology, 2018, 267 pp. 502 - 509
Issue Date:: 2018-11-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (635.5 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Peng, L	en_US
dc.contributor.author	Ngo, HH https://orcid.org/0000-0002-0296-2866	en_US
dc.contributor.author	Guo, WS https://orcid.org/0000-0001-5542-2858	en_US
dc.contributor.author	Liu, Y https://orcid.org/0000-0001-6677-7961	en_US
dc.contributor.author	Wang, D	en_US
dc.contributor.author	Song, S	en_US
dc.contributor.author	Wei, W	en_US
dc.contributor.author	Nghiem, LD https://orcid.org/0000-0002-9039-5792	en_US
dc.contributor.author	Ni, BJ https://orcid.org/0000-0002-1129-7837	en_US
dc.date.available	2020-07-19T19:04:19Z
dc.date.issued	2018-11-01	en_US
dc.identifier.citation	Bioresource Technology, 2018, 267 pp. 502 - 509	en_US
dc.identifier.issn	0960-8524	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127141
dc.description.abstract	© 2018 Elsevier Ltd A comprehensive mathematical model was constructed to evaluate the complex substrate and microbial interaction in algal-bacterial photo sequencing batch reactors (PSBR). The kinetics of metabolite, growth and endogenous respiration of ammonia oxidizing bacteria, nitrite oxidizing bacteria and heterotrophic bacteria were coupled to those of microalgae and then embedded into widely-used activated sludge model series. The impact of light intensity was considered for microalgae growth, while the effect of inorganic carbon was considered for each microorganism. The integrated model framework was assessed using experimental data from algal-bacterial consortia performing sidestream nitritation/denitritation. The validity of the model was further evaluated based on dataset from PSBR performing mainstream nitrification. The developed model could satisfactorily capture the dynamics of microbial populations and substrates under different operational conditions (i.e. feeding, carbon dosing and illuminating mode, light intensity, influent ammonium concentration), which might serve as a powerful tool for optimizing the novel algal-bacterial nitrogen removal processes.	en_US
dc.relation	http://purl.org/au-research/grants/arc/FT160100195
dc.relation.ispartof	Bioresource Technology	en_US
dc.relation.isbasedon	10.1016/j.biortech.2018.07.093	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Biotechnology	en_US
dc.subject.mesh	Nitrites	en_US
dc.subject.mesh	Nitrogen	en_US
dc.subject.mesh	Bioreactors	en_US
dc.subject.mesh	Sewage	en_US
dc.subject.mesh	Denitrification	en_US
dc.subject.mesh	Nitrification	en_US
dc.title	A novel mechanistic model for nitrogen removal in algal-bacterial photo sequencing batch reactors	en_US
dc.type	Journal Article
utslib.citation.volume	267	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0699 Other Biological Sciences	en_US
pubs.embargo.period	Not known	en_US
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.publication-status	Published	en_US
pubs.volume	267	en_US

Abstract:

© 2018 Elsevier Ltd A comprehensive mathematical model was constructed to evaluate the complex substrate and microbial interaction in algal-bacterial photo sequencing batch reactors (PSBR). The kinetics of metabolite, growth and endogenous respiration of ammonia oxidizing bacteria, nitrite oxidizing bacteria and heterotrophic bacteria were coupled to those of microalgae and then embedded into widely-used activated sludge model series. The impact of light intensity was considered for microalgae growth, while the effect of inorganic carbon was considered for each microorganism. The integrated model framework was assessed using experimental data from algal-bacterial consortia performing sidestream nitritation/denitritation. The validity of the model was further evaluated based on dataset from PSBR performing mainstream nitrification. The developed model could satisfactorily capture the dynamics of microbial populations and substrates under different operational conditions (i.e. feeding, carbon dosing and illuminating mode, light intensity, influent ammonium concentration), which might serve as a powerful tool for optimizing the novel algal-bacterial nitrogen removal processes.

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

http://hdl.handle.net/10453/127141