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Sustainable wastewater treatment plants design through multiobjective optimization

Padrón-Páez, Juan I. and De León Almaraz, Sofia and Román-Martínez, Alicia Sustainable wastewater treatment plants design through multiobjective optimization. (2020) Computers & Chemical Engineering, 140. 106850. ISSN 0098-1354

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Official URL: https://doi.org/10.1016/j.compchemeng.2020.106850

Abstract

Nowadays, an adequate design of wastewater treatment plants taking into consideration ail 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 lexicographie and e-constraint methods. Solutions are provided in the form of a Pareto front. A modified technique for order of preference by similarity to ideal solution (M­TOPSIS) 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.

Item Type:Article
HAL Id:hal-03125723
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > Universidad Autonoma de San Luis Potosi - UASLP ( MEXICO)
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Deposited On:29 Jan 2021 15:27

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