Optimal model-based aeration control policies in a sequencing batch reactor

Flores‐Tlacuahuac, Antonio; Pedraza-Segura, Lorena

doi:10.1016/j.compchemeng.2015.11.001

Cited by 10 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is because the S NH 4 constraint is enforced only at the end of the batch, that is, it is end-point constraint as shown in eq 5. 24.…”

Section: Industrial and Engineering Chemistry Researchmentioning

confidence: 99%

“…Control strategies for dealing with the control of SBR units have been proposed, − including real time control strategies, − iterative learning control strategies, , intelligent control, and fuzzy control systems . State estimation and economic model predictive control has been discussed elsewhere. − In a previous work, we have proposed a deterministic optimization approach for the calculation of open-loop optimal control policies of SBR water-treatment systems. In that work, it has been shown that fractional values of the aeration control actions resulted in more attractive solutions rather than using the traditional on/off control policies typically implemented in SBR systems .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty

Rodríguez-Pérez

Flores‐Tlacuahuac

Ricardez‐Sandoval

et al. 2018

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

Sequencing batch reactors (SBR) are widely used in wastewater treatment due to flexibility in operation and low investment costs. However, the main drawback of this technology is the large energy requirements for its operation. In addition, SBR performance is mostly determined by the quality of treated water, which is affected by model uncertainty. Efficient control systems that can meet the operational goals for this process under uncertainty are therefore desired. In this work, we propose an efficient control approach for composition control of organic matter and nitrogen in SBR systems in the presence of the model uncertainty. A local sensitivity analysis was performed to identify the variables that have a major impact on SBR behavior. Robust and stochastic model predictive controllers were designed to effectively control the SBR process under uncertainty. Our results indicate that water quality requirements can be achieved even in the presence of uncertainty without sacrificing SBR performance.

show abstract

“…This is because the S NH 4 constraint is enforced only at the end of the batch, that is, it is end-point constraint as shown in eq 5. 24.…”

Section: Industrial and Engineering Chemistry Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty

Rodríguez-Pérez

Flores‐Tlacuahuac

Ricardez‐Sandoval

et al. 2018

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The SBR kinetic modeling has mainly been carried out feeding to the reactors with organics (e.g., COD) and nitrogenated (e.g., NOx-N, NHx-N) substrates mainly contained in domestic wastewater (Bernardes et al, 1999;Flores-Tlacuahuac & Pedraza-Segura, 2016;Gao et al, 2010;Ibrahim & Abasaeed 1995;Lovato et al, 2017;Man et al, 2017;Novak et al, 1997;Peng et al, 2018;Su et al, 2006aSu et al, , 2006b. A small sample of studies reports kinetic parameters of microbial activity for synthetic (Ni & Yu, 2008a, 2008bSu et al, 2006aSu et al, , 2006b) and indusial (Freytez et al, 2019c, 2019d, Man et al, 2017 substrates.…”

Section: Introductionmentioning

confidence: 99%

“…It has been experimentally observed that the number of new cells produced tends to be the same for a specific substrate (Metcalf & Eddy, 1991). Most of the kinetic equations for SBR performance have been developed to relate the rate of substrate utilization and the microbial growth rate, proposing empirical equations that include to the Monod's equation within the microorganisms and substrate mass balances (Bernardes et al, 1999;Flores-Tlacuahuac & Pedraza-Segura, 2016;Gao et al, 2010;Henze et al, 1987;Ibrahim & Abasaeed 1995;Lovato et al, 2017;Man et al, 2017;Novak et al, 1997;Peng et al, 2018;Su et al, 2006aSu et al, , 2006b.…”

Section: Introductionmentioning

confidence: 99%

Calibration of model for the utilization rate of organic and nitrogenated substrates by the microorganism in a sequencing batch reactor

Freytez-Boggio

Romance

Sierra

et al. 2021

Environmental Quality Mgmt

View full text Add to dashboard Cite

This paper deals with the calibration of the model for the utilization rate of organic and nitrogenated substrates (URONS) by the microorganisms in a sequencing batch reactor. The URONS model parameterization was carried out using data obtained from two experimental designs (EDs) applied on tannery wastewater (TW), which included as factors: First ED (aeration sequence and cycle duration) reached a COD removal efficiency (RE) between 29% (cycle duration of 6 h) and 48% (cycle duration of 24 h).Second ED (aeration sequence and filling time) obtained COD-RE (47-51%), NH 4 -N-RE (71-91%), and TKN-RE (50-67%). The URONS model was based on Monod's equation modification. For the first ED, the results of the maximum URONS parameter (r sm ) of 135-946 mg/L⋅h suggest the organic substrate accumulation due to a possible inhibition of the microorganisms by TW substances such as heavy metals and metal halides. For the second ED, the r sm parameter values resulted negative and varying in the order of −10 −2 to −10 −4 mg/L⋅h with respect to (r sm ) for the first ED indicating that a better microorganism performance for URONS occurred in the second ED. For both EDs, the saturation parameter (K s ) values compared to the effluent substrate concentration suggest that the primary substrate for biodegradation was present in the TW.

show abstract

“…The control goal was to improve effluent quality and to reduce operational costs.Other research works are based on the optimization of biological processes taking place in the SBR reactor. For this purpose, in addition to measuring DO, additional measurements are applied: pH, Oxidation Reduction Potential-ORP [15], Oxygen Uptake Rate-OUR [16], aeration time, phase sequence (anaerobic/aerobic), phase duration, number of phases [17][18][19]. Appl.…”

mentioning

confidence: 99%

Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory

2019

View full text Add to dashboard Cite

Authors of this paper take under investigation the optimization of biological processes during the wastewater treatment in sequencing batch reactor (SBR) plant. A designed optimizing supervisory controller generates the dissolved oxygen (DO) trajectory for the lower level parts of the hierarchical control system. Proper adjustment of this element has an essential impact on the efficiency of the wastewater treatment process as well as on the costs generated by the plant, especially by the aeration system. The main goal of the presented solution is to reduce the plant energy consumption and to maintain the quality of effluent in compliance with the water-law permit. Since the optimization is nonlinear and includes variations of different types of variables, to solve the given problem the authors performed simulation tests and decided to implement a hybrid of two different optimization algorithms: artificial bee colony (ABC) and direct search algorithm (DSA). Simulation tests for the wastewater treatment plant case study are presented.

show abstract

Optimal model-based aeration control policies in a sequencing batch reactor

Cited by 10 publications

References 18 publications

Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty

Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty

Calibration of model for the utilization rate of organic and nitrogenated substrates by the microorganism in a sequencing batch reactor

Improving SBR Performance Alongside with Cost Reduction through Optimizing Biological Processes and Dissolved Oxygen Concentration Trajectory

Contact Info

Product

Resources

About