Cost versus life cycle assessment-based environmental impact optimization of drinking water production plants.

Empowering decision makers with cost-effective solutions for reducing industrial processes environmental burden, at both design and operation stages, is nowadays a major worldwide concern. The paper addresses this issue for the sector of drinking water production plants (DWPPs), seeking for optimal...

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Publicado en:Journal of Environmental Management Vol. 177; pp. 278 - 288
Autores principales: Capitanescu, F., Rege, S., Marvuglia, A., Benetto, E., Ahmadi, A., Gutiérrez, T. Navarrete, Tiruta-Barna, L.
Formato: Artículo
Publicado: Academic Press Inc. Jul2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2016
      vid: 177
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      pub: Academic Press Inc.
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        115244188
        10.1016/j.jenvman.2016.04.027
      ppf: 278
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        atl: Cost versus life cycle assessment-based environmental impact optimization of drinking water production plants.
      aug:
        au:
          Capitanescu, F.
          Rege, S.
          Marvuglia, A.
          Benetto, E.
          Ahmadi, A.
          Gutiérrez, T. Navarrete
          Tiruta-Barna, L.
        affil:
          Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN) Department, 41 rue du Brill, L-4422, Belvaux, Luxembourg
          University of Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, F-31077, Toulouse, France
      su:
        Environmental impact analysis
        Cost effectiveness
        Environmental economics
        Decision making
        Drinking water analysis
        Manufacturing processes
      sug:
        subj:
          Environmental impact analysis
          Cost effectiveness
          Environmental economics
          Decision making
          Industrial Process Furnace and Oven Manufacturing
          Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables
          Drinking water analysis
          Manufacturing processes
      keyword:
        Drinking water production plant
        Environmental impact
        Life cycle assessment
        Meta-heuristic algorithms
        Multi-objective optimization
        Drinking water production plant
        Environmental impact
        Life cycle assessment
        Meta-heuristic algorithms
        Multi-objective optimization
      ab: Empowering decision makers with cost-effective solutions for reducing industrial processes environmental burden, at both design and operation stages, is nowadays a major worldwide concern. The paper addresses this issue for the sector of drinking water production plants (DWPPs), seeking for optimal solutions trading-off operation cost and life cycle assessment (LCA)-based environmental impact while satisfying outlet water quality criteria. This leads to a challenging bi-objective constrained optimization problem, which relies on a computationally expensive intricate process-modelling simulator of the DWPP and has to be solved with limited computational budget. Since mathematical programming methods are unusable in this case, the paper examines the performances in tackling these challenges of six off-the-shelf state-of-the-art global meta-heuristic optimization algorithms, suitable for such simulation-based optimization, namely Strength Pareto Evolutionary Algorithm (SPEA2), Non-dominated Sorting Genetic Algorithm (NSGA-II), Indicator-based Evolutionary Algorithm (IBEA), Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), Differential Evolution (DE), and Particle Swarm Optimization (PSO). The results of optimization reveal that good reduction in both operating cost and environmental impact of the DWPP can be obtained. Furthermore, NSGA-II outperforms the other competing algorithms while MOEA/D and DE perform unexpectedly poorly.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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