ASM3 extended for two-step nitrification-denitrification: A model reduction for sequencing batch reactors

Cruz Bournazou, MN; Arellano-Garcia, H; Wozny, G; Lyberatos, G; Kravaris, C

dc.contributor.author	Cruz Bournazou, MN	en
dc.contributor.author	Arellano-Garcia, H	en
dc.contributor.author	Wozny, G	en
dc.contributor.author	Lyberatos, G	en
dc.contributor.author	Kravaris, C	en
dc.date.accessioned	2014-03-01T02:07:51Z
dc.date.available	2014-03-01T02:07:51Z
dc.date.issued	2012	en
dc.identifier.issn	02682575	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29614
dc.subject	Activated sludge	en
dc.subject	ASM3	en
dc.subject	Model reduction	en
dc.subject	Nitrate bypass	en
dc.subject	Nitrification-denitrification invariant reaction time scale analysis sequencing batch reactor (SBR)	en
dc.subject	Two-step nitrification-denitrification	en
dc.subject.other	Activated sludge	en
dc.subject.other	ASM3	en
dc.subject.other	Model reduction	en
dc.subject.other	Nitrification-denitrification	en
dc.subject.other	Time scale analysis	en
dc.subject.other	Activated sludge process	en
dc.subject.other	Differential equations	en
dc.subject.other	Nitrates	en
dc.subject.other	Nitrification	en
dc.subject.other	Oxidation	en
dc.subject.other	Reaction rates	en
dc.subject.other	Denitrification	en
dc.subject.other	nitrate	en
dc.subject.other	nitrogen	en
dc.subject.other	accuracy	en
dc.subject.other	activated sludge	en
dc.subject.other	analytic method	en
dc.subject.other	article	en
dc.subject.other	ASM3 model	en
dc.subject.other	chemical reaction	en
dc.subject.other	computer	en
dc.subject.other	controlled study	en
dc.subject.other	cost	en
dc.subject.other	denitrification	en
dc.subject.other	mathematical model	en
dc.subject.other	molecular dynamics	en
dc.subject.other	nitrification	en
dc.subject.other	reactor optimization	en
dc.subject.other	reduction	en
dc.subject.other	sequencing batch reactor	en
dc.subject.other	shortcut biological nitrogen removal	en
dc.subject.other	waste component removal	en
dc.subject.other	waste water	en
dc.subject.other	waste water management	en
dc.title	ASM3 extended for two-step nitrification-denitrification: A model reduction for sequencing batch reactors	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/jctb.3694	en
heal.identifier.secondary	http://dx.doi.org/10.1002/jctb.3694	en
heal.publicationDate	2012	en
heal.abstract	Background: The ASM3 extended for two-step nitrification-denitrification represents the most accurate model for the description of the activated sludge process with nitrate bypass nitrification-denitrification. This model includes 20 reaction rates, 15 state variables, and more than 35 parameters, which make its calculation costly and difficult to estimate. The lack of a fast and accurate model able to predict both concentration of nitrite and nitrate over time is the principal obstacle for efficient model-based optimization and model-based control. Results: In this work, a fast and accurate model for the activated sludge process in a sequencing batch reactor is proposed. For this purpose, the ASM3 extended for two-step nitrification-denitrification, a 15-state variable model built for a general description of the ASP, is reduced to match the specific conditions of sequencing batch reactor systems with shortcut biological nitrogen removal to a nine-state model and then further to a six-state and five-state model under appropriate assumptions. The proposed model maintains the two-step nitrification-denitrification process feature of the original model and can thus describe the bypass of nitrate, showing increased tractability and lower computer costs. Different approaches for model reduction together with an exhaustive analysis of the extended ASM3 model as well as the process are discussed. Conclusions: The resulting model with only five differential equations reduces the calculation time by up to one order of magnitude, while maintaining a high description accuracy, demonstrating the advantages of model reduction. © 2012 Society of Chemical Industry.	en
heal.journalName	Journal of Chemical Technology and Biotechnology	en
dc.identifier.doi	10.1002/jctb.3694	en
dc.identifier.volume	87	en
dc.identifier.issue	7	en
dc.identifier.spage	887	en
dc.identifier.epage	896	en