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...
| Publicado en: | Journal of Environmental Management Vol. 177; pp. 278 - 288 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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Academic Press Inc.
Jul2016
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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=115244188&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 115244188 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: Jul2016 vid: 177 pid: 735 pub: Academic Press Inc. artinfo: ui: 115244188 10.1016/j.jenvman.2016.04.027 ppf: 278 ppct: 10 formats: tig: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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