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A multiobjective optimization framework for multicontaminant industrial water network design.

Boix, Marianne and Montastruc, Ludovic and Pibouleau, Luc and Azzaro-Pantel, Catherine and Domenech, Serge A multiobjective optimization framework for multicontaminant industrial water network design. (2011) Journal of Environmental Management, 92 (7). 1802-1808. ISSN 0301-4797

(Document in English)

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Official URL: http://dx.doi.org/10.1016/j.jenvman.2011.02.016


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: F1, the freshwater flow-rate at the network entrance, F2, the water flow-rate at inlet of regeneration units, and F3, 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.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com The original PDF of the article can be found at Journal of Environmental Management website : http://www.sciencedirect.com/science/journal/03014797
HAL Id:hal-03544509
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)
Laboratory name:
Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI) - Conception Optimisation Ordonnancement des Procédés (COOP)
Deposited On:20 Oct 2011 12:12

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