Dynamic Control of Wastewater Treatment Plants

Andrews, John

doi:10.1021/es00058a722

Cited by 12 publications

(5 citation statements)

References 8 publications

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“…In terms of control parameters, more frequent regulation can be observed for the QLM-guided optimal control strategy (Figure b,c), indicating a more pronounced response to the influent dynamics. , Figure c shows that AR is decreased to a great extent after optimization (from 13610.22 to 11963.35 m 3 /h by a reduction ratio of 12.10%) and such change suggested a more concentrated distribution. The abovementioned results indicated that significant over-aeration occurred during the original operation mode of the WWTP.…”

Section: Resultsmentioning

confidence: 99%

Novel Intelligent Control Framework for WWTP Optimization To Achieve Stable and Sustainable Operation

Feng

Zhao

et al. 2022

ACS EST Eng.

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Intelligent control is a promising approach to achieve stable and sustainable operation at municipal wastewater treatment plants (WWTPs). A desirable WWTP intelligent control system can be responsive to influent dynamics and adaptable for complex multi-objective optimization. In this study, we developed a novel intelligent control framework based on machine learning methods, which comprises a prediction module and control module. The stacking ensemble learning model (SELM) and Q-learning model (QLM) were used to capture influent dynamics and intelligently identify optimal parameters, respectively. This SELM–QLM framework was trained and validated with historical monitoring data archived at a full-scale WWTP to optimize the nitrogen removal process. The results showed that control parameters were frequently adjusted in response to influent variation and energy consumption of aeration, and the sludge returning process was effectively decreased while maintaining the stability of effluent total nitrogen (TN) (TN decreased by 19.53% and energy consumption decreased by 10.37%). Specifically, the SELM provided accurate predictions of TN concentration without increasing the data set scale, and the QLM showed superior ability in determining the optimal solution from nearly contradictory objectives. This study provides a framework with significant application values for improving WWTP management inspired by the objective of stable and sustainable operation.

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Section: Resultsmentioning

confidence: 99%

Novel Intelligent Control Framework for WWTP Optimization To Achieve Stable and Sustainable Operation

Feng

Zhao

et al. 2022

ACS EST Eng.

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“…Sandino and McKinney (1994) presented a design model for combined biofiltration/activated sludge processes. Dynamic modeling was discussed for the control of activated sludge process operations (Andrews, 1994). Tsai el al.…”

Section: Treatment Systemsmentioning

confidence: 99%

Activated sludge and other aerobic suspended culture processes

Cowan¹,

Alagappan²,

Ellis³

et al. 1997

Water Environment Research

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PROCESS MODELING AND KINETICS Models. Kappeler and Gujer (1994b) introduced a simulation model, ANTISCUM, formulated to describe scumming due to actinomycetes. The model was capable of predicting scumming for the conditions under which it is often found; small concentrations of surfactants and substantial concentrations of hydrophobic substrate, both of which may lead to proliferation of AClinomyceles.

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“…Extensive surveys have been published and several international conferences have been held on this topic (see Agrawal and Lim 1984;Beck 1986;Shimizu 1993;Andrews 1994;Bastin and Van Impe 1995). However, biological processes exhibit some very speci®c behaviors and the control needed is not the same as it would be usually understood by a control engineer: see for instance the survey paper by Andrews (1994) in which it is underlined that, in biological processes, things seem to work fairly well until some failure or fault occurs. Hence, there is, in fact, an increasing need for Fault Detection, isolation and Analysis integrated systems (also known as FDA systems).…”

Section: Introductionmentioning

confidence: 99%

Identification and disturbance accommodating control of a fluidized bed anaerobic digester

Harmand

Manh

Steyer

2000

Bioprocess Engineering

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This paper deals with the identi®cation and control of a¯uidized bed anaerobic digester in order to stabilize the production of biogas based on the biological treatment of industrial wine distillery wastewaters. The process used is ®rst presented in details. Using a linear model between the Output Gas Flow Rate and the Input Liquid Flow Rate together with the Disturbance Modeling Principle, a Disturbance Accommodating Controller is designed and implemented on a pilot plant. Experimental results are presented and some conclusions and perspectives are drawn.

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Dynamic Control of Wastewater Treatment Plants

Cited by 12 publications

References 8 publications

Novel Intelligent Control Framework for WWTP Optimization To Achieve Stable and Sustainable Operation

Novel Intelligent Control Framework for WWTP Optimization To Achieve Stable and Sustainable Operation

Activated sludge and other aerobic suspended culture processes

Identification and disturbance accommodating control of a fluidized bed anaerobic digester

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