Wastewater treatment: New insight provided by interactive multiobjective optimization

Hakanen, Jussi; Miettinen, Kaisa; Sahlstedt, Kristian

doi:10.1016/j.dss.2010.11.026

Cited by 65 publications

(36 citation statements)

References 15 publications

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“…The procedure continues until the DM is satisfied and believes that no better solution can be achieved. Additional details about these methods can be found in [18][19][20].…”

Section: Methods For Computing the Pareto Frontmentioning

confidence: 99%

“…According to ASM1 [22], if alkalinity drops below 1 mol m À3 , the pH may become unstable and decreases to low values. Thereby, Hakanen and coworkers [18,19] considered adding sodium bicarbonate to maintain the medium alkalinity within a suitable range, between 1.5 and 2 mol m À3 according to these authors. Espírito-Santo and coworkers [29] constrained alkalinity in the reactor to be in the range of 6-8 mol m À3 , although no chemicals addition was considered for its regulation.…”

Section: Alkalinitymentioning

confidence: 99%

“…Nevertheless, since some biochemical reactions occurring in ASPs consume alkalinity (especially nitrification), the addition of buffering agents for pH control may reveal necessary. However, among studies dealing with optimal control/design of ASPs, only [18,19] have accounted for such chemicals costs (probably because of the moderate involved costs). They considered sodium bicarbonate addition to maintain alkalinity within a suitable range, between 1.5 and 2 mol m À3 according to these Fig.…”

Section: Additives Costsmentioning

confidence: 99%

“…Some authors have also accounted for some equipment costs [19,28,[34][35][36]38,39,41] and for the maintenance of the constructions and equipment [28,29,35,36]. El-Shorbagy and coworkers [28] have also considered the salaries of the staff maintaining and operating the WWTP.…”

Section: Economic Criterionmentioning

confidence: 99%

“…Hakanen and coworkers [18,19] who considered an ASP consisting of reactors in series, have constrained the TSS concentration in the last reactor to be below 6000 g m À3 . Hakanen and coworkers [20] has restricted its variation range between 2000 and 6000 g m À3 .…”

Section: Concentration Of Suspended Solids In the Bioreactorsmentioning

confidence: 99%

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

Hreiz

Latifi

Roche

2015

Chemical Engineering Journal

171

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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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“…The procedure continues until the DM is satisfied and believes that no better solution can be achieved. Additional details about these methods can be found in [18][19][20].…”

Section: Methods For Computing the Pareto Frontmentioning

confidence: 99%

Section: Alkalinitymentioning

confidence: 99%

Section: Additives Costsmentioning

confidence: 99%

Section: Economic Criterionmentioning

confidence: 99%

Section: Concentration Of Suspended Solids In the Bioreactorsmentioning

confidence: 99%

See 3 more Smart Citations

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

Hreiz

Latifi

Roche

2015

Chemical Engineering Journal

171

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Wastewater management decision‐making: A literature review and synthesis

Ko,

Norton,

Daigger

2024

Water Environment Research

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Wastewater management decision‐making is complicated because of: (1) a complex regulatory structure, (2) the wide variety of conflicting expectations by stakeholders external and internal to the responsible utility, and (2) constrains including regulatory requirements, available technologies and practices, and customer willingness to pay. This review synthesizes the results from over 200 papers published since 2000 and presents a decision‐making structure and process which is (1) science and fact‐based, (2) reflects sustainability, (3) clear and transparent, (4) inclusive, (5) produces an objective‐oriented decision, (6) scalable, (7) repeatable, and (8) efficient. Tools supporting the decision‐making process are reviewed, including Multi‐Criteria Decision Analysis (MCDA), Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), process modeling, economic assessments, Life Cycle Assessment (LCA), and Social Life Cycle Assessment (SLCA). Ultimately it was determined that engagement of decision‐makers and relevant stakeholders to assess their values and preferences, coupled with supporting data and analyses, is necessary to reach a decision that, critically, has the support needed for it to be implemented. The results demonstrate that an understanding of the components of the decision process, coupled with an orderly process, enables good wastewater management decision‐making.Practitioner Points A decision‐making structure and process leading to the selection of implementable solutions is presented. The process possesses the following attributes: (1) science and fact‐based, (2) reflect sustainability, (3) clear and transparent, (4) inclusive, (5) produce an objective‐oriented decision, (6) scalable, (7) repeatable, and (8) efficient An extensive summary and analysis of tools supporting the decision process are provided, including Multi‐Criteria Decision Analysis (MCDA), Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), process modeling, economic assessments, Life Cycle Assessment (LCA), and Social Life Cycle Assessment (SLCA). The critical role of internal and external stakeholders and differentiating their involvement relative to decision‐makers is emphasized.

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