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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(Document in English)
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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 |
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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) |
Laboratory name: | |
Statistics: | download |
Deposited On: | 29 Jan 2021 15:27 |
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