A design of higher-level control based genetic algorithms for wastewater treatment plants

Trung, H; Van Bach, N; Van Nguyen, L; Tran, HT; Nguyen, MT

A design of higher-level control based genetic algorithms for wastewater treatment plants

Trung, H Van Bach, N Van Nguyen, L Tran, HT Nguyen, MT

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Engineering Science and Technology, an International Journal, 2021, 24, (4), pp. 872-878
Issue Date:: 2021-08-01

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Field	Value	Language
dc.contributor.author	Trung, H
dc.contributor.author	Van Bach, N
dc.contributor.author	Van Nguyen, L
dc.contributor.author	Tran, HT
dc.contributor.author	Nguyen, MT
dc.date.accessioned	2022-05-12T20:40:16Z
dc.date.available	2022-05-12T20:40:16Z
dc.date.issued	2021-08-01
dc.identifier.citation	Engineering Science and Technology, an International Journal, 2021, 24, (4), pp. 872-878
dc.identifier.issn	2215-0986
dc.identifier.issn	2215-0986
dc.identifier.uri	http://hdl.handle.net/10453/157306
dc.description.abstract	A wastewater treatment plant facilitates various processes (e.g., physical, chemical and biological) to treat industrial wastewater and remove pollutants. This topic recently encourages much attention in different fields to explore suitable methods to be able to remove chemical or biological elements from wastewater. This paper presents a novel genetic based control algorithm for biological wastewater treatment plants, intending to improve the quality of the effluent, and reduce the costs of operation. The proposed controller allows adjusting the dissolved oxygen in the last basin, , according to the operational conditions, instead of maintaining it at a constant value. genetic algorithm (GA) is used in the higher-level control design to verify the desired value of the lower level based on the Ammonium and ammonia nitrogen concentration in the fourth tank, , concentration values in the fourth tank. In order to modify the tuning parameters of the higher level, an adjustment region is determined. Consequently, the effluent quality is improved, help to decrease the total operational cost. Simulation results demonstrate the advantages of the proposed method.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Engineering Science and Technology, an International Journal
dc.relation.isbasedon	10.1016/j.jestch.2021.01.004
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A design of higher-level control based genetic algorithms for wastewater treatment plants
dc.type	Journal Article
utslib.citation.volume	24
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-05-12T20:40:15Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	4

Abstract:

A wastewater treatment plant facilitates various processes (e.g., physical, chemical and biological) to treat industrial wastewater and remove pollutants. This topic recently encourages much attention in different fields to explore suitable methods to be able to remove chemical or biological elements from wastewater. This paper presents a novel genetic based control algorithm for biological wastewater treatment plants, intending to improve the quality of the effluent, and reduce the costs of operation. The proposed controller allows adjusting the dissolved oxygen in the last basin, , according to the operational conditions, instead of maintaining it at a constant value. genetic algorithm (GA) is used in the higher-level control design to verify the desired value of the lower level based on the Ammonium and ammonia nitrogen concentration in the fourth tank, , concentration values in the fourth tank. In order to modify the tuning parameters of the higher level, an adjustment region is determined. Consequently, the effluent quality is improved, help to decrease the total operational cost. Simulation results demonstrate the advantages of the proposed method.

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http://hdl.handle.net/10453/157306