Documents disponibles écrits par cet auteur

Design and planning of sustainable industrial networks / Joaquim Duque in Industrial & engineering chemistry research, Vol. 49 N° 9 (Mai 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4230–4248 Titre : Design and planning of sustainable industrial networks : application to a recovery network of residual products Type de document : texte imprimé Auteurs : Joaquim Duque, Auteur ; Ana Paula F. D. Barbosa-Povoa, Auteur ; Augusto Q. Novais, Auteur Année de publication : 2010 Article en page(s) : pp. 4230–4248 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Industrial  Networks Résumé : The present work describes the integration of environmental impact/damage evaluation into an optimization model for management of industrial networks. The selected methodology of environmental evaluation, the Eco-indicator 99, is based on the life cycle impact assessment. Its implementation and suitability is studied with an emphasis being placed on the strengths and limits of the methodology. The final model, derived from the application of process system engineering methodologies, is described as a mixed-integer linear program, which, once solved, is able to suggest the optimal processing and transportation routes, while optimizing a given objective function that either meets the design and environmental constraints or minimizes the eco-indicator. Whenever the impacts/damages costs are quantifiable, the calculation may also contemplate the inclusion of the environmental costs into the economic function that evaluates the network characteristic data and costs. An example based on the implementation of an innovative network for the recovery of the sludge obtained from aluminum surface finishing plants is presented. This illustrates the importance of including environmental impact/damage methodologies, explores their possible uses and analyzes obtained results. It is also used to perform a multiobjective analysis through an approximation to the Pareto curve for an economic-environmental trade-off. This curve is obtained through the application of a ε-constraint method, by plotting a set of successive optimized solutions given by the maximization of an economic function that reflects the costs of disposal, processing, transport, and materials storage versus an impact indicator obtained from the environment pollutants emitted. This analysis is complemented with the minimization of the eco-indicator value (EI99), along with an estimate of the corresponding amount of sludge recovery. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900940h [article] Design and planning of sustainable industrial networks : application to a recovery network of residual products [texte imprimé] / Joaquim Duque, Auteur ; Ana Paula F. D. Barbosa-Povoa, Auteur ; Augusto Q. Novais, Auteur . - 2010 . - pp. 4230–4248. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4230–4248 Mots-clés : Industrial  Networks Résumé : The present work describes the integration of environmental impact/damage evaluation into an optimization model for management of industrial networks. The selected methodology of environmental evaluation, the Eco-indicator 99, is based on the life cycle impact assessment. Its implementation and suitability is studied with an emphasis being placed on the strengths and limits of the methodology. The final model, derived from the application of process system engineering methodologies, is described as a mixed-integer linear program, which, once solved, is able to suggest the optimal processing and transportation routes, while optimizing a given objective function that either meets the design and environmental constraints or minimizes the eco-indicator. Whenever the impacts/damages costs are quantifiable, the calculation may also contemplate the inclusion of the environmental costs into the economic function that evaluates the network characteristic data and costs. An example based on the implementation of an innovative network for the recovery of the sludge obtained from aluminum surface finishing plants is presented. This illustrates the importance of including environmental impact/damage methodologies, explores their possible uses and analyzes obtained results. It is also used to perform a multiobjective analysis through an approximation to the Pareto curve for an economic-environmental trade-off. This curve is obtained through the application of a ε-constraint method, by plotting a set of successive optimized solutions given by the maximization of an economic function that reflects the costs of disposal, processing, transport, and materials storage versus an impact indicator obtained from the environment pollutants emitted. This analysis is complemented with the minimization of the eco-indicator value (EI99), along with an estimate of the corresponding amount of sludge recovery. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900940h

Design and scheduling of periodic multipurpose batch plants under uncertainty / Tânia Pinto-Varela in Industrial & engineering chemistry research, Vol. 48 N° 21 (Novembre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 21 (Novembre 2009) . - pp. 9655–9670 Titre : Design and scheduling of periodic multipurpose batch plants under uncertainty Type de document : texte imprimé Auteurs : Tânia Pinto-Varela, Auteur ; Ana Paula F. D. Barbosa-Povoa, Auteur ; Augusto Q. Novais, Auteur Année de publication : 2010 Article en page(s) : pp. 9655–9670 Note générale : Chemistry engineering Langues : Anglais (eng) Mots-clés : Multipurpose  batch  plants  Scheduling Résumé : This work deals with the design of multipurpose batch plants under uncertainty. The model proposed by Pinto et al. [Comput. Chem. Eng. 2005, 29 (6), 1293−1303] for the detailed design of batch plants is extended to address the problem of uncertainty associated with production demand. Equipment choices, as well as plant topology and associated schedule, are defined simultaneously under an uncertain demand environment. Uncertainty is treated through a two-stage stochastic model leading to a mixed-integer linear programming (MILP) formulation, where profit is maximized and the expected value of perfect information (EVPI) is determined; the latter is estimated as the difference between the values of profit obtained for the wait-and-see and the here-and-now models. A scenario is set up where demand is represented by a discrete probability function and a cyclic operation considered, together with mixed storage policies and sharing of resources. Some illustrative examples are solved to show the model applicability and the EVPI are determined and analyzed. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900137p [article] Design and scheduling of periodic multipurpose batch plants under uncertainty [texte imprimé] / Tânia Pinto-Varela, Auteur ; Ana Paula F. D. Barbosa-Povoa, Auteur ; Augusto Q. Novais, Auteur . - 2010 . - pp. 9655–9670. Chemistry engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 21 (Novembre 2009) . - pp. 9655–9670 Mots-clés : Multipurpose  batch  plants  Scheduling Résumé : This work deals with the design of multipurpose batch plants under uncertainty. The model proposed by Pinto et al. [Comput. Chem. Eng. 2005, 29 (6), 1293−1303] for the detailed design of batch plants is extended to address the problem of uncertainty associated with production demand. Equipment choices, as well as plant topology and associated schedule, are defined simultaneously under an uncertain demand environment. Uncertainty is treated through a two-stage stochastic model leading to a mixed-integer linear programming (MILP) formulation, where profit is maximized and the expected value of perfect information (EVPI) is determined; the latter is estimated as the difference between the values of profit obtained for the wait-and-see and the here-and-now models. A scenario is set up where demand is represented by a discrete probability function and a cyclic operation considered, together with mixed storage policies and sharing of resources. Some illustrative examples are solved to show the model applicability and the EVPI are determined and analyzed. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900137p