Documents disponibles écrits par cet auteur

An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure / Vijay Gupta in Industrial & engineering chemistry research, Vol. 51 N° 19 (Mai 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6823-6840 Titre : An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure Type de document : texte imprimé Auteurs : Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur Année de publication : 2012 Article en page(s) : pp. 6823-6840 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Planning  Modeling  Mixed  integer  programming  Non  linear  programming Résumé : In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities. The proposed multiperiod nonconvex MINLP (mixed integer nonlinear programming) model for multifield site includes three components (oil, water, and gas) explicitly in the formulation using higher order polynomials, avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage, and offloading) installation and expansion, field―FPSO connections, well drilling, and production rates in each time period. The model can be solved effectively with DICOPT for realistic instances and gives good quality solutions. Furthermore, it can be reformulated into an MILP after piecewise linearization and exact linearization techniques that can be solved globally in an efficient way. Solutions of realistic instances involving 10 fields, 3 FPSOs, 84 wells, and 20 years planning horizon are reported, as well as comparisons between the computational performance of the proposed MINLP and MILP formulations. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900236 [article] An efficient multiperiod MINLP model for optimal planning of offshore oil and gas field infrastructure [texte imprimé] / Vijay Gupta, Auteur ; Ignacio E. Grossmann, Auteur . - 2012 . - pp. 6823-6840. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6823-6840 Mots-clés : Mathematical  programming  Planning  Modeling  Mixed  integer  programming  Non  linear  programming Résumé : In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities. The proposed multiperiod nonconvex MINLP (mixed integer nonlinear programming) model for multifield site includes three components (oil, water, and gas) explicitly in the formulation using higher order polynomials, avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage, and offloading) installation and expansion, field―FPSO connections, well drilling, and production rates in each time period. The model can be solved effectively with DICOPT for realistic instances and gives good quality solutions. Furthermore, it can be reformulated into an MILP after piecewise linearization and exact linearization techniques that can be solved globally in an efficient way. Solutions of realistic instances involving 10 fields, 3 FPSOs, 84 wells, and 20 years planning horizon are reported, as well as comparisons between the computational performance of the proposed MINLP and MILP formulations. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900236

Design of hybrid distillation-vapor membrane separation systems / Jose A. Caballero in Industrial & engineering chemistry research, Vol. 48 N° 20 (Octobre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 20 (Octobre 2009) . - pp. 9151–9162 Titre : Design of hybrid distillation-vapor membrane separation systems Type de document : texte imprimé Auteurs : Jose A. Caballero, Auteur ; Ignacio E. Grossmann, Auteur ; Majid Keyvani, Auteur Année de publication : 2010 Article en page(s) : pp. 9151–9162 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Hybrid  separation  system  Distillation  column  separation  Parallel  membrane  separation  Two-stage  approach Résumé : Currently the separation of olefins (ethylene, propylene) from (ethane, propane) on a commercial scale is performed almost exclusively by cryogenic distillation in petrochemical industries. Since this technology is highly energy intensive, there is a strong economic incentive to explore alternative separation technologies with lower energy consumption. In this work, using the separation of ethylene and ethane as a representative case, a mathematical programming approach is proposed to optimize and retrofit a hybrid separation system consisting of a distillation column and a parallel membrane separation unit. A two-stage approach is used. First, a shortcut model is introduced that allows determining whether the hybrid system could be of interest and the order of magnitude of the energy savings that can be expected. Second, a superstructure optimization approach is proposed that uses rigorous models for both the column and the membrane using a process simulator and state of the art MINLP solvers. The results presented in the case study show that significant savings in total costs and energy (up to 30%) can be obtained with the hybrid system. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900499y [article] Design of hybrid distillation-vapor membrane separation systems [texte imprimé] / Jose A. Caballero, Auteur ; Ignacio E. Grossmann, Auteur ; Majid Keyvani, Auteur . - 2010 . - pp. 9151–9162. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 20 (Octobre 2009) . - pp. 9151–9162 Mots-clés : Hybrid  separation  system  Distillation  column  separation  Parallel  membrane  separation  Two-stage  approach Résumé : Currently the separation of olefins (ethylene, propylene) from (ethane, propane) on a commercial scale is performed almost exclusively by cryogenic distillation in petrochemical industries. Since this technology is highly energy intensive, there is a strong economic incentive to explore alternative separation technologies with lower energy consumption. In this work, using the separation of ethylene and ethane as a representative case, a mathematical programming approach is proposed to optimize and retrofit a hybrid separation system consisting of a distillation column and a parallel membrane separation unit. A two-stage approach is used. First, a shortcut model is introduced that allows determining whether the hybrid system could be of interest and the order of magnitude of the energy savings that can be expected. Second, a superstructure optimization approach is proposed that uses rigorous models for both the column and the membrane using a process simulator and state of the art MINLP solvers. The results presented in the case study show that significant savings in total costs and energy (up to 30%) can be obtained with the hybrid system. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900499y

Generalized disjunctive programming as a systematic modeling framework to derive scheduling formulations / Pedro M. Castro in Industrial & engineering chemistry research, Vol. 51 N° 16 (Avril 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 16 (Avril 2012) . - pp. 5781–5792 Titre : Generalized disjunctive programming as a systematic modeling framework to derive scheduling formulations Type de document : texte imprimé Auteurs : Pedro M. Castro, Auteur ; Ignacio E. Grossmann, Auteur Année de publication : 2012 Article en page(s) : pp. 5781–5792 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Disjunctive  programming  Scheduling Résumé : We propose linear generalized disjunctive programming (GDP) models for the short-term scheduling problem of single stage batch plants with parallel units. Three different concepts of continuous-time representation are explored, immediate and general precedence, as well as multiple time grids. The linear GDP models are then reformulated using both big-M and convex hull reformulations, and the resulting mixed-integer linear programming models compared through the solution of a set of example problems. We show that two general precedence models from the literature can be derived using a big-M reformulation for a set of disjunctions and a convex hull reformulation for another. The best performer is, however, a multiple time grid model which can be derived from the convex hull reformulation followed by simple algebraic manipulations to eliminate the disaggregated variables and reduce the sets of constraints, thus leading to a more compact and efficient formulation. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2030486 [article] Generalized disjunctive programming as a systematic modeling framework to derive scheduling formulations [texte imprimé] / Pedro M. Castro, Auteur ; Ignacio E. Grossmann, Auteur . - 2012 . - pp. 5781–5792. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 16 (Avril 2012) . - pp. 5781–5792 Mots-clés : Disjunctive  programming  Scheduling Résumé : We propose linear generalized disjunctive programming (GDP) models for the short-term scheduling problem of single stage batch plants with parallel units. Three different concepts of continuous-time representation are explored, immediate and general precedence, as well as multiple time grids. The linear GDP models are then reformulated using both big-M and convex hull reformulations, and the resulting mixed-integer linear programming models compared through the solution of a set of example problems. We show that two general precedence models from the literature can be derived using a big-M reformulation for a set of disjunctions and a convex hull reformulation for another. The best performer is, however, a multiple time grid model which can be derived from the convex hull reformulation followed by simple algebraic manipulations to eliminate the disaggregated variables and reduce the sets of constraints, thus leading to a more compact and efficient formulation. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2030486

Integration of nonlinear crude distillation unit models in refinery planning optimization / Abdulrahman M. Alattas in Industrial & engineering chemistry research, Vol. 50 N° 11 (Juin 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 11 (Juin 2011) . - pp. 6860-6870 Titre : Integration of nonlinear crude distillation unit models in refinery planning optimization Type de document : texte imprimé Auteurs : Abdulrahman M. Alattas, Auteur ; Ignacio E. Grossmann, Auteur ; Ignasi Palou-Rivera, Auteur Année de publication : 2011 Article en page(s) : pp. 6860-6870 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Optimization  Planning  Refinery  Modeling  Distillation Résumé : Production planning modeling is an essential tool in the operation and management of modern refineries. It has traditionally relied on linear programming (LP) principles and methods for simple and robust planning models, such as the fixed-yield planning models and swing cuts planning models. However, these models fail to reflect the true nonlinear nature of the processing units. In this work, the fractionation index model (FI) is developed to add nonlinearity to the linear refinery planning models. The FI model is developed as a more accurate nonlinear model for the complex crude distillation unit (CDU) than the fixed yield or the swing cuts models. The resulting simple model optimizes the crude cuts quantities and temperature. It has the benefits of being crude independent, characteristics of the CDU, and readily calculated. An example of the FI CDU model is presented. The FI-based refinery planning model is then developed and tested with a refinery planning example. The results are compared to the common fixed yield and swing cuts models. The FI refinery planning model predicted higher profit based on different crude purchase decision. Despite an order of magnitude increase in the problem size, the FI planning model did not require significantly longer solution times. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24199903 [article] Integration of nonlinear crude distillation unit models in refinery planning optimization [texte imprimé] / Abdulrahman M. Alattas, Auteur ; Ignacio E. Grossmann, Auteur ; Ignasi Palou-Rivera, Auteur . - 2011 . - pp. 6860-6870. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 11 (Juin 2011) . - pp. 6860-6870 Mots-clés : Optimization  Planning  Refinery  Modeling  Distillation Résumé : Production planning modeling is an essential tool in the operation and management of modern refineries. It has traditionally relied on linear programming (LP) principles and methods for simple and robust planning models, such as the fixed-yield planning models and swing cuts planning models. However, these models fail to reflect the true nonlinear nature of the processing units. In this work, the fractionation index model (FI) is developed to add nonlinearity to the linear refinery planning models. The FI model is developed as a more accurate nonlinear model for the complex crude distillation unit (CDU) than the fixed yield or the swing cuts models. The resulting simple model optimizes the crude cuts quantities and temperature. It has the benefits of being crude independent, characteristics of the CDU, and readily calculated. An example of the FI CDU model is presented. The FI-based refinery planning model is then developed and tested with a refinery planning example. The results are compared to the common fixed yield and swing cuts models. The FI refinery planning model predicted higher profit based on different crude purchase decision. Despite an order of magnitude increase in the problem size, the FI planning model did not require significantly longer solution times. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24199903

A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations / Sebastian Terrazas-Moreno in Industrial & engineering chemistry research, Vol. 51 N° 18 (Mai 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6441-6454 Titre : A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations Type de document : texte imprimé Auteurs : Sebastian Terrazas-Moreno, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur Année de publication : 2012 Article en page(s) : pp. 6441-6454 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Scheduling  Optimization  Modeling  Mixed  integer  programming  Linear  programming Résumé : This paper presents a novel mixed-integer linear programming (MILP) formulation for the tank farm operation problem (TFOP), which involves the simultaneous scheduling of continuous multiproduct processing lines and the assignment of dedicated storage tanks to finished products. The objective of the problem is to minimize blocking of the finished lines by obtaining an optimal schedule and an optimal allocation of storage resources. The novelty of this work is the integration of a tank assignment problem with a scheduling problem where a dedicated storage tank has to be chosen from a tank farm given the volumes, sequencing, and timing of production of a series of products. The scheduling part of the model is based on the multioperation sequencing (MOS) model by Mouret et al. (Mouret, S.; Grossmann, L E.; Pestiaux, P. Time representations and mathematical models for process scheduling problems. Comput. Chem. Eng. 2011, 35, 1038―1063). The formulation is tested in three examples of different size and complexity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867295 [article] A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations [texte imprimé] / Sebastian Terrazas-Moreno, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur . - 2012 . - pp. 6441-6454. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6441-6454 Mots-clés : Mathematical  programming  Scheduling  Optimization  Modeling  Mixed  integer  programming  Linear  programming Résumé : This paper presents a novel mixed-integer linear programming (MILP) formulation for the tank farm operation problem (TFOP), which involves the simultaneous scheduling of continuous multiproduct processing lines and the assignment of dedicated storage tanks to finished products. The objective of the problem is to minimize blocking of the finished lines by obtaining an optimal schedule and an optimal allocation of storage resources. The novelty of this work is the integration of a tank assignment problem with a scheduling problem where a dedicated storage tank has to be chosen from a tank farm given the volumes, sequencing, and timing of production of a series of products. The scheduling part of the model is based on the multioperation sequencing (MOS) model by Mouret et al. (Mouret, S.; Grossmann, L E.; Pestiaux, P. Time representations and mathematical models for process scheduling problems. Comput. Chem. Eng. 2011, 35, 1038―1063). The formulation is tested in three examples of different size and complexity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867295

Mixed-integer Nonlinear programming models and algorithms for large-scale supply chain design with stochastic inventory management / Fengqi You in Industrial & engineering chemistry research, Vol. 47 N°20 (Octobre 2008) 

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Modeling and computational strategies for optimal development planning of offshore oilfields under complex fiscal rules / Vijay Gupta in Industrial & engineering chemistry research, Vol. 51 N° 44 (Novembre 2012) 

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A multiobjective optimization approach for the simultaneous single line scheduling and control of CSTRs / Miguel Angel Gutiérrez-Limon in Industrial & engineering chemistry research, Vol. 51 N° 17 (Mai 2012) 

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Multisite capacity, production, and distribution planning with reactor modifications / Fengqi You in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011) 

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New continuous-time scheduling formulation for continuous plants under variable electricity cost / Pedro M. Castro in Industrial & engineering chemistry research, Vol. 48 N° 14 (Juillet 2009) 

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A novel priority-slot based continuous-time formulation for crude-oil scheduling problems / Sylvain Mouret in Industrial & engineering chemistry research, Vol. 48 N° 18 (Septembre 2009) 

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Optimal short-term scheduling of large-scale multistage batch plants / Pedro M. Castro in Industrial & engineering chemistry research, Vol. 48 N° 24 (Décembre 2009) 

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Optimal short-term scheduling of large-scale multistage batch plants / Pedro M. Castro in Industrial & engineering chemistry research, Vol. 48 N° 24 (Décembre 2009) 

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Optimization of energy and water consumption in corn-based ethanol plants / Elvis Ahmetovic in Industrial & engineering chemistry research, Vol. 49 N° 17 (Septembre 1, 2010) 

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Optimization of water consumption in second generation bioethanol plants / Mariano Martin in Industrial & engineering chemistry research, Vol. 50 N° 7 (Avril 2011) 

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