Sustainable wastewater treatment plants design through multiobjective optimization

•An integrated framework that combines conceptual and mathematical programming approaches, for the design of sustainable WWTPs has been proposed with the required methodology and computer-aided tools.•The framework was applied to a case study for the treatment of municipal wastewater from mexico Cit...

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Bibliographic Details
Published in:Computers & chemical engineering Vol. 140; p. 106850
Main Authors: Padrón-Páez, Juan I., Almaraz, Sofía De-León, Román-Martínez, Alicia
Format: Journal Article
Language:English
Published: Elsevier Ltd 02.09.2020
Elsevier
Subjects:
Chemical engineering
Chemical Sciences
Computer Science
Environmental Engineering
Environmental Sciences
Mixed-integer nonlinear programming problem
Modified technique for order of preference by similarity to ideal solution
Multiobjective optimization
Multiple criteria decision making
Operations Research
Socio-eco-efficient sustainability
Wastewater treatment plants
Multiple criteria decision making
Mixed-integer nonlinear programming problem
Socio-eco-efficient sustainability
Wastewater treatment plants
Modified technique for order of preference by similarity to ideal solution
Multiobjective optimization
Modified technique for order of preference by similarity ta ideal solution
ISSN:0098-1354, 1873-4375
Online Access:Get full text
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Summary:•An integrated framework that combines conceptual and mathematical programming approaches, for the design of sustainable WWTPs has been proposed with the required methodology and computer-aided tools.•The framework was applied to a case study for the treatment of municipal wastewater from mexico City, where many different potential WWTP configurations were assessed using optimization approaches considering a multiobjective function which includes the three dimensions of sustainability (economic, environmental and social).•The best trade-off WWTP design, that maximizes the wastewater reuse while minimizes the total cost and the energy consumption in a compromised solution, is obtaining by using a hybrid multiobjective optimization technique (lexicographic + ε-constraint) and a multiple criteria decision-making method (M-TOPSIS). Nowadays, an adequate design of wastewater treatment plants taking into consideration all sustainability dimensions– economic, environmental and social- is fundamental. This can be achieved by implementing systematic methodologies where conceptual and mathematical tools can be used together. This contribution proposes a framework that uses total cost, consumed energy, and reclaimed wastewater as sustainability metrics. A mixed-integer nonlinear programming problem arises from a general superstructure for wastewater treatment plants. A case study from Mexico City is solved by a hybrid multiobjective optimization approach that combines lexicographic and ε-constraint methods. Solutions are provided in the form of a Pareto front. A modified technique for order of preference by similarity to ideal solution (M-TOPSIS) analysis is used as a multiple criteria decision-making tool to find the best trade-off solution. The optimal sustainable configuration resulted consists of three levels of treatment and 100% of treated water reuse. [Display omitted]
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.106850