Adapting to seasonal temperature variations: A dynamic multi-subunit strategy for sulfur autotrophic denitrification bioreactors.

Sun, Y-L; Wang, H-L; Ngo, HH; Guo, W; Ni, B-J; Zhang, X-N; Wei, W

Adapting to seasonal temperature variations: A dynamic multi-subunit strategy for sulfur autotrophic denitrification bioreactors.

Sun, Y-L Wang, H-L Ngo, HH Guo, W

Ni, B-J Zhang, X-N Wei, W

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Publisher:: ACADEMIC PRESS INC ELSEVIER SCIENCE
Publication Type:: Journal Article
Citation:: Environ Res, 2024, 240, (Pt 2), pp. 117493
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Sun, Y-L
dc.contributor.author	Wang, H-L
dc.contributor.author	Ngo, HH
dc.contributor.author	Guo, W https://orcid.org/0000-0001-5542-2858
dc.contributor.author	Ni, B-J
dc.contributor.author	Zhang, X-N
dc.contributor.author	Wei, W https://orcid.org/0000-0001-5613-337X
dc.date.accessioned	2024-01-07T08:46:56Z
dc.date.available	2023-10-23
dc.date.available	2024-01-07T08:46:56Z
dc.date.issued	2024-01-01
dc.identifier.citation	Environ Res, 2024, 240, (Pt 2), pp. 117493
dc.identifier.issn	0013-9351
dc.identifier.issn	1096-0953
dc.identifier.uri	http://hdl.handle.net/10453/174061
dc.description.abstract	Elemental sulfur autotrophic denitrification (S0AD) processes are temperature-sensitive, presenting a substantial challenge for the practical implementation of S0AD bioreactors. In this study, a comprehensive methodology for designing and operating S0AD bioreactors was developed, effectively managing fluctuations in nitrogen removal efficiency caused by seasonal temperature variations. Initially, the nitrate removal rate was correlated with simulated on-site temperature and nitrate loading, revealing correlation coefficients of k1, k2, k3, and A as 5.42×10-4, -0.41, 0.04, and 0.13, respectively, to establish a mathematical model for predicting S0AD efficiency. Subsequently, by considering influence factors such as dissolved oxygen and dynamic sulfur consumption, the model was employed to accurately design a pilot-scale S0AD bioreactor for a case study. By utilizing an alternative multi-subunit operation, a stable effluent nitrate concentration of less than 8 mg-N/L was maintained throughout the year. Importantly, this approach resulted in a substantial reduction of 76.8% in excessive nitrate removal, sulfur consumption, and sulfate production. This study aims to provide an optimal design and operation strategy for the practical application of S0AD bioreactors, thereby enhancing reliability and cost-effectiveness in the face of seasonal temperature changes.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ACADEMIC PRESS INC ELSEVIER SCIENCE
dc.relation.ispartof	Environ Res
dc.relation.isbasedon	10.1016/j.envres.2023.117493
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	03 Chemical Sciences, 05 Environmental Sciences, 06 Biological Sciences
dc.subject.classification	Toxicology
dc.subject.classification	31 Biological sciences
dc.subject.classification	34 Chemical sciences
dc.subject.classification	41 Environmental sciences
dc.subject.mesh	Nitrates
dc.subject.mesh	Denitrification
dc.subject.mesh	Temperature
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Seasons
dc.subject.mesh	Bioreactors
dc.subject.mesh	Sulfur
dc.subject.mesh	Nitrogen
dc.subject.mesh	Nitrates
dc.subject.mesh	Sulfur
dc.subject.mesh	Nitrogen
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Bioreactors
dc.subject.mesh	Temperature
dc.subject.mesh	Seasons
dc.subject.mesh	Denitrification
dc.title	Adapting to seasonal temperature variations: A dynamic multi-subunit strategy for sulfur autotrophic denitrification bioreactors.
dc.type	Journal Article
utslib.citation.volume	240
utslib.location.activity	Netherlands
utslib.for	03 Chemical Sciences
utslib.for	05 Environmental Sciences
utslib.for	06 Biological Sciences
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	embargoed	*
utslib.copyright.embargo	2025-10-01T00:00:00+1000Z
dc.date.updated	2024-01-07T08:46:55Z
pubs.issue	Pt 2
pubs.publication-status	Published
pubs.volume	240
utslib.citation.issue	Pt 2

Abstract:

Elemental sulfur autotrophic denitrification (S0AD) processes are temperature-sensitive, presenting a substantial challenge for the practical implementation of S0AD bioreactors. In this study, a comprehensive methodology for designing and operating S0AD bioreactors was developed, effectively managing fluctuations in nitrogen removal efficiency caused by seasonal temperature variations. Initially, the nitrate removal rate was correlated with simulated on-site temperature and nitrate loading, revealing correlation coefficients of k1, k2, k3, and A as 5.42×10-4, -0.41, 0.04, and 0.13, respectively, to establish a mathematical model for predicting S0AD efficiency. Subsequently, by considering influence factors such as dissolved oxygen and dynamic sulfur consumption, the model was employed to accurately design a pilot-scale S0AD bioreactor for a case study. By utilizing an alternative multi-subunit operation, a stable effluent nitrate concentration of less than 8 mg-N/L was maintained throughout the year. Importantly, this approach resulted in a substantial reduction of 76.8% in excessive nitrate removal, sulfur consumption, and sulfate production. This study aims to provide an optimal design and operation strategy for the practical application of S0AD bioreactors, thereby enhancing reliability and cost-effectiveness in the face of seasonal temperature changes.

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http://hdl.handle.net/10453/174061