A multiobjective optimization framework for multicontaminant industrial water network design
The optimal design of multicontaminant industrial water networks according to several objectives is carried out in this paper. The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables representing the presence of interconnections in...
| Publicado en: | Journal of Environmental Management Vol. 92; no. 7; pp. 1802 - 1809 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Jul2011
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=60517627&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 60517627 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Jul2011 vid: 92 iid: 7 pid: 735 pub: Academic Press Inc. artinfo: ui: 60517627 10.1016/j.jenvman.2011.02.016 ppf: 1802 ppct: 7 formats: tig: atl: A multiobjective optimization framework for multicontaminant industrial water network design aug: au: Boix, Marianne Montastruc, Ludovic Pibouleau, Luc Azzaro-Pantel, Catherine Domenech, Serge affil: Laboratoire de Génie Chimique (LGC), Université de Toulouse, 4, Allée Emile Monso, BP 84234, 31432 Toulouse, France su: Industrial water supply Water supply research Multiple criteria decision making Mathematical optimization Nonlinear programming Pareto analysis sug: subj: Water Supply and Irrigation Systems Industrial water supply Water supply research Multiple criteria decision making Mathematical optimization Nonlinear programming Pareto analysis keyword: MCDM MINLP Multicontanimant Multiobjective optimization TOPSIS Water network MCDM MINLP Multicontanimant Multiobjective optimization TOPSIS Water network ab: The optimal design of multicontaminant industrial water networks according to several objectives is carried out in this paper. The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables representing the presence of interconnections in the network. For optimization purposes, three antagonist objectives are considered: F , the freshwater flow-rate at the network entrance, F , the water flow-rate at inlet of regeneration units, and F , the number of interconnections in the network. The multiobjective problem is solved via a lexicographic strategy, where a mixed-integer nonlinear programming (MINLP) procedure is used at each step. The approach is illustrated by a numerical example taken from the literature involving five processes, one regeneration unit and three contaminants. The set of potential network solutions is provided in the form of a Pareto front. Finally, the strategy for choosing the best network solution among those given by Pareto fronts is presented. This Multiple Criteria Decision Making (MCDM) problem is tackled by means of two approaches: a classical TOPSIS analysis is first implemented and then an innovative strategy based on the global equivalent cost (GEC) in freshwater that turns out to be more efficient for choosing a good network according to a practical point of view. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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