Optimization of a sequencing batch reactor for biological nitrogen removal

Coelho, Maria Alice Zarur; Russo, Carlos; Araújo, O.Q.F.

doi:10.1016/s0043-1354(00)00010-5

Cited by 83 publications

(46 citation statements)

References 12 publications

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“…Studies dealing with the optimal operation of existing ASPs are summarized in Table 1, those addressing the optimal control and design of future ASPs are summarized in Table 2, while Table 3 compiles papers devoted to the multi-objective optimization of ASPs. These papers reveal that optimization allows finding operating conditions/designs that greatly enhance the ASP performance, a fact that has been confirmed experimentally in some of these studies [1][2][3][4]. Thus, the optimal control/design of ASPs addresses an important academic-industrial research issue.…”

Section: Introductionmentioning

confidence: 74%

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Optimal design and operation of activated sludge processes: State-of-the-art

Hreiz

Latifi

Roche

2015

Chemical Engineering Journal

170

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To cite this version:Rainier Hreiz, M A Latifi, Nicolas Roche. Optimal design and operation of activated sludge processes: State-of-the-art. Chemical Engineering Journal, Elsevier, 2015Elsevier, , 281, pp.900 -920. 10.1016Elsevier, /j.cej.2015 The paper deals with the optimal control and design of activated sludge processes. Studies on the topic are critically reviewed. Focus is set on the problem formulation that allows one getting reliable solutions. The selection of appropriate cost functions and constraints is discussed. Aspects related to dealing with model mismatch are presented. a r t i c l e i n f o t r a c tThe activated sludge process (ASP) is the most commonly used process for wastewater treatment. Improving its performance is necessary from economic and environmental point of views. In this context, dynamic optimization is a powerful tool for assisting engineers in determining optimal operations and designs for ASPs.However, the real optimality of the solution strongly depends on the optimization problem statement, for which unfortunately, there is no standard or commonly accepted formulation. In a hopeful attempt to provide a guideline for future works on the topic, this paper reviews the literature devoted to optimal control and design of ASPs. The main issues to be addressed in order to get reliable solutions are discussed, among which: (1) Managing the inevitable mismatch between the model predictions and the real ASP operation. (2) Dealing with the unpredictable variations in the wastewater characteristics. (3) Accounting for the slowest dynamic processes occurring in ASPs. (4) Appropriately selecting the decision variables and the flowsheet structure in order to simplify the problem formulation from a mathematical perspective. (5) Conveniently choosing the cost functions expressions/correlations. (6) Successfully selecting the mathematical constraints in order to guarantee physically relevant operations.

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Section: Introductionmentioning

confidence: 74%

“…[51]). Studies [1] and [3] who dealt with a semi-continuous SBR considered minimizing the batch time, i.e. maximizing the ASP productivity.…”

Section: Other Criteriamentioning

confidence: 99%

Optimal design and operation of activated sludge processes: State-of-the-art

Hreiz

Latifi

Roche

2015

Chemical Engineering Journal

170

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“…According to Hauduc etc., there is a survey about which model is the most commonly used model of the wastewater biological treatment process in worldwide, 57% of the feedback data show that they are using ASM1 [7]. ASM1 has been successfully applied to simulate a variety of nitrogen and carbon removal process of the wastewater biological treatment process, and there are dozens of years of successful operating experience, and it has been widely applied to the traditional activated sludge process [8,9], the oxidation ditch technology [10,11], the sequencing batch activated sludge process [12], the membrane bioreactor [13], moving bed biofilm reactor [14], etc. Such messages often appear in various scholarly journals and operating reports.…”

Section: The Improvement Of Activated Sludge Process Modelmentioning

confidence: 99%

Research advance of the model of activated sludge process to wastewater treatment

Zhou¹,

Ma²,

Song³

2015

Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

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Abstract. Activated sludge process model is a powerful tool. Wastewater treatment plant can monitoring and control the capacity and efficiency of sewage treatment accurately through activated sludge process model. This paper demonstrates the development and improvement of the activated sludge process model in detail. Thus it combs the whole process of activated sludge process model and establishes the solid foundation for the further research and improvement of activated sludge process model.

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“…Models which are dedicated to describe the system performances in a SBR are available in the literature (ARTAN et al, 2006;BOAVENTURA et al, 2001;CARVALHO et al, 2004;COELHO et al, 2000;HVALA et al, 2001;MOUSSA et al, 2005;WU et al, 2001). Therefore, modelling and simulation offer interesting alternatives (ARTAN et al, 2006;HVALA et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…The quality and the validity of the simulations depend on the quality of the initial variables. Efforts to identify ASM state variables in SBR systems are rarely reported, most authors preferring to use literature data (COELHO et al, 2000) or online calibration of ASM parameters (ANDREOTTOLA et al, 1997;DOSTA et al, 2007). Different methods of identifying or calibrating ASM1 state variables and parameters can be found in the literature.…”

Section: Introductionmentioning

confidence: 99%

Influent fractionation for the use of ASM1 to optimize urban wastewater treatment: Application to the removal of C and N in a SBR

Casellas¹,

Dagot²,

Pons

et al. 2008

rseau

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A simulation of a SBR using Benchmark procedure was done prior to field operation in order to optimize the cycle and phases lengths. The accurate identification of ASM1 variables is a prerequisite to achieve a good prediction. A fractionation procedure was applied to samples, corresponding to dry and rainy weather conditions, for taking into account the ASM1 state variable characteristics of specific wastewater (mixture of domestic and industrial wastewater), which differ largely from the default ones used in ASM1. The choice of the ASM1 state variables identification methodology is very important as it influences the results. Two methods were carried out: a batch test in closed reactors, and a coagulation/flocculation procedure. An optimal 12‑hour cycle length was determined, in terms of discharged water quality and reactor productivity. The described methodology led to valuable results in terms of carbon and nitrogen removal: respectively more than 90% of COD removal and more than 80% on total nitrogen removal.

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Optimization of a sequencing batch reactor for biological nitrogen removal

Cited by 83 publications

References 12 publications

Optimal design and operation of activated sludge processes: State-of-the-art

Optimal design and operation of activated sludge processes: State-of-the-art

Research advance of the model of activated sludge process to wastewater treatment

Influent fractionation for the use of ASM1 to optimize urban wastewater treatment: Application to the removal of C and N in a SBR

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