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Détail de l'auteur
Auteur Jie Li
Documents disponibles écrits par cet auteur
Affiner la rechercheAn analysis of some unit-specific event-based models for the short-term scheduling of noncontinuous processes / Jie Li in Industrial & engineering chemistry research, Vol. 49 N° 2 (Janvier 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 633–647
Titre : An analysis of some unit-specific event-based models for the short-term scheduling of noncontinuous processes Type de document : texte imprimé Auteurs : Jie Li, Auteur ; Susarla, Naresh, Auteur ; Iftekhar A. Karimi, Auteur Année de publication : 2010 Article en page(s) : pp 633–647 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Noncontinuous processes Semicontinuous processes Finite storage Unit-specific. Résumé : Several event-based formulations for scheduling noncontinuous processes have been reported in the past decade. In fact, some unit-specific event-based models have proved more efficient than other models on several literature problems. Recently, Janak and Floudas [Comput. Chem. Eng. 2008, 32 (4−5), 913−955] and Shaik and Floudas [Ind. Eng. Chem. Res. 2009, 48 (6), 2947−2964] have shown that, without allowing tasks to occur over multiple events, some unit-specific event-based models may lead to suboptimal solutions. In this work, we present five examples, involving batch and semicontinuous processes, to study the performance of some recent variants of unit-specific event-based models. The first two examples involve batch plants with finite storage as a shared resource for which a recent unit-specific event-based model [Shaik, M. A.; Floudas, C. A. Comput. Chem. Eng. 2008, 32 (1−2), 260−274] gives trivial or suboptimal solutions, depending on the example and data. Our analysis confirms that assuming a single event point for each task is one cause for the observed performance. When the tasks are allowed to span multiple events using the recent unified model of Shaik and Floudas [Ind. Eng. Chem. Res. 2009, 48 (6), 2947−2964], the issue is resolved. Three more examples involving semicontinuous processes are considered, the solutions of which explore the limitations of a recent unit-specific event-based model [Shaik, M. A.; Floudas, C. A. Ind. Eng. Chem. Res. 2007, 46 (6), 1764−1779]. In addition, the task sequencing constraints in the later model may require further study to ensure generality. The five examples presented in this work can serve as test problems for future scheduling models. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801879n [article] An analysis of some unit-specific event-based models for the short-term scheduling of noncontinuous processes [texte imprimé] / Jie Li, Auteur ; Susarla, Naresh, Auteur ; Iftekhar A. Karimi, Auteur . - 2010 . - pp 633–647.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 633–647
Mots-clés : Noncontinuous processes Semicontinuous processes Finite storage Unit-specific. Résumé : Several event-based formulations for scheduling noncontinuous processes have been reported in the past decade. In fact, some unit-specific event-based models have proved more efficient than other models on several literature problems. Recently, Janak and Floudas [Comput. Chem. Eng. 2008, 32 (4−5), 913−955] and Shaik and Floudas [Ind. Eng. Chem. Res. 2009, 48 (6), 2947−2964] have shown that, without allowing tasks to occur over multiple events, some unit-specific event-based models may lead to suboptimal solutions. In this work, we present five examples, involving batch and semicontinuous processes, to study the performance of some recent variants of unit-specific event-based models. The first two examples involve batch plants with finite storage as a shared resource for which a recent unit-specific event-based model [Shaik, M. A.; Floudas, C. A. Comput. Chem. Eng. 2008, 32 (1−2), 260−274] gives trivial or suboptimal solutions, depending on the example and data. Our analysis confirms that assuming a single event point for each task is one cause for the observed performance. When the tasks are allowed to span multiple events using the recent unified model of Shaik and Floudas [Ind. Eng. Chem. Res. 2009, 48 (6), 2947−2964], the issue is resolved. Three more examples involving semicontinuous processes are considered, the solutions of which explore the limitations of a recent unit-specific event-based model [Shaik, M. A.; Floudas, C. A. Ind. Eng. Chem. Res. 2007, 46 (6), 1764−1779]. In addition, the task sequencing constraints in the later model may require further study to ensure generality. The five examples presented in this work can serve as test problems for future scheduling models. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801879n Entropy generation analysis for nanofluid flow in microchannels / Jie Li in Journal of heat transfer, Vol. 132 N° 12 (Décembre 2010)
[article]
in Journal of heat transfer > Vol. 132 N° 12 (Décembre 2010) . - pp. [122401-1/8]
Titre : Entropy generation analysis for nanofluid flow in microchannels Type de document : texte imprimé Auteurs : Jie Li, Auteur ; Clement Kleinstreuer, Auteur Année de publication : 2010 Article en page(s) : pp. [122401-1/8] Note générale : Physique Langues : Anglais (eng) Mots-clés : Computer simulation Nanofluid flow Entropy minimization Microchannel geometry Microchannel operation Index. décimale : 536 Chaleur. Thermodynamique Résumé : Employing a validated computer simulation model, entropy generation is analyzed in trapezoidal microchannels for steady laminar flow of pure water and CuO-water nanofluids. Focusing on microchannel heat sink applications, local and volumetric entropy rates caused by frictional and thermal effects are computed for different coolants, inlet temperatures, Reynolds numbers, and channel aspect ratios. It was found that there exists an optimal Reynolds number range to operate the system due to the characteristics of the two different entropy sources, both related to the inlet Reynolds number. Microchannels with high aspect ratios have a lower suitable operational Reynolds number range. The employment of nanofluids can further minimize entropy generation because of their superior thermal properties. Heat transfer induced entropy generation is dominant for typical microheating systems while frictional entropy generation becomes more and more important with the increase in fluid inlet velocity/Reynolds number.
DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...] [article] Entropy generation analysis for nanofluid flow in microchannels [texte imprimé] / Jie Li, Auteur ; Clement Kleinstreuer, Auteur . - 2010 . - pp. [122401-1/8].
Physique
Langues : Anglais (eng)
in Journal of heat transfer > Vol. 132 N° 12 (Décembre 2010) . - pp. [122401-1/8]
Mots-clés : Computer simulation Nanofluid flow Entropy minimization Microchannel geometry Microchannel operation Index. décimale : 536 Chaleur. Thermodynamique Résumé : Employing a validated computer simulation model, entropy generation is analyzed in trapezoidal microchannels for steady laminar flow of pure water and CuO-water nanofluids. Focusing on microchannel heat sink applications, local and volumetric entropy rates caused by frictional and thermal effects are computed for different coolants, inlet temperatures, Reynolds numbers, and channel aspect ratios. It was found that there exists an optimal Reynolds number range to operate the system due to the characteristics of the two different entropy sources, both related to the inlet Reynolds number. Microchannels with high aspect ratios have a lower suitable operational Reynolds number range. The employment of nanofluids can further minimize entropy generation because of their superior thermal properties. Heat transfer induced entropy generation is dominant for typical microheating systems while frictional entropy generation becomes more and more important with the increase in fluid inlet velocity/Reynolds number.
DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...] Hydrogenation of maleic anhydride to succinic anhydride over Ni / HY - Al2O3 / Jie Li in Industrial & engineering chemistry research, Vol. 49 N° 22 (Novembre 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11837-11840
Titre : Hydrogenation of maleic anhydride to succinic anhydride over Ni / HY - Al2O3 Type de document : texte imprimé Auteurs : Jie Li, Auteur ; Wei-ping Tian, Auteur ; Li Shi, Auteur Année de publication : 2011 Article en page(s) : pp. 11837-11840 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Hydrogenation Résumé : The hydrogenation of maleic anhydride to succinic anhydride was carried out over Ni/Al2O3-HY catalysts. The catalysts, which contained 3-30 wt % Ni, were prepared via a kneading method. The catalysts were characterized by an array of techniques, including X-ray diffraction (XRD) and H2 temperature-programmed reduction (TPR). The nature of the Ni species on the support, and their interaction with the support, were studied. XRD and TPR studies showed that nickel was present as Ni2+ and Ni3+ species on the support, and that there was no elemental nickel (Ni0) in the unreduced samples. Pretreatment using pure H2 at different temperatures affected the reactivity. Pretreatment at 350 °C for 3 h was the best among the conditions tested. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23437887 [article] Hydrogenation of maleic anhydride to succinic anhydride over Ni / HY - Al2O3 [texte imprimé] / Jie Li, Auteur ; Wei-ping Tian, Auteur ; Li Shi, Auteur . - 2011 . - pp. 11837-11840.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 22 (Novembre 2010) . - pp. 11837-11840
Mots-clés : Hydrogenation Résumé : The hydrogenation of maleic anhydride to succinic anhydride was carried out over Ni/Al2O3-HY catalysts. The catalysts, which contained 3-30 wt % Ni, were prepared via a kneading method. The catalysts were characterized by an array of techniques, including X-ray diffraction (XRD) and H2 temperature-programmed reduction (TPR). The nature of the Ni species on the support, and their interaction with the support, were studied. XRD and TPR studies showed that nickel was present as Ni2+ and Ni3+ species on the support, and that there was no elemental nickel (Ni0) in the unreduced samples. Pretreatment using pure H2 at different temperatures affected the reactivity. Pretreatment at 350 °C for 3 h was the best among the conditions tested. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23437887 Operational planning of large - scale continuous processes / Jie Li in Industrial & engineering chemistry research, Vol. 51 N° 11 (Mars 2012)
[article]
in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4347–4362
Titre : Operational planning of large - scale continuous processes : Deterministic planning model and robust optimization for demand amount and due date uncertainty Type de document : texte imprimé Auteurs : Jie Li, Auteur ; Peter M. Verderame, Auteur ; Christodoulos A. Floudas, Auteur Année de publication : 2012 Article en page(s) : pp. 4347–4362 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Uncertainty Optimization Modeling Continuous process Planning Résumé : The operational planning problem typically determines both the plant’s aggregate and daily production targets to meet product demands over a long time horizon varying from one to three months. The daily production profile generated from the operational planning level is used to schedule the day-to-day operations of the plant. In this paper, we first extend the production disaggregation model framework proposed by Verderame and Floudas, Ind. Eng. Chem. Res.2008, 47, 4845–4860 to develop a novel mixed-integer linear programming operational planning model based on discrete-time representation for a large-scale multiproduct continuous plant. We allow unused processing time to carry over from one day to the next and thus capture the continuous time nature of the plant. The production totals are disaggregated into a feasible distribution of daily production requirements, and daily production profiles are provided to meet the requirements of the medium-term scheduling model developed by Shaik and Floudas, Comput. Chem. Eng.2009, 33, 670–686. Then, we extend the work of Lin et al. Ind. Eng. Chem. Res.2004, 28, 1069–1085 and Janak et al. Ind. Eng. Chem. Res.2007, 31, 171–195 to address various forms of demand amount and due date uncertainty. The computational results show that the proposed deterministic and robust planning models successfully provide tight upper bounds on the plant’s true production capacity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655642 [article] Operational planning of large - scale continuous processes : Deterministic planning model and robust optimization for demand amount and due date uncertainty [texte imprimé] / Jie Li, Auteur ; Peter M. Verderame, Auteur ; Christodoulos A. Floudas, Auteur . - 2012 . - pp. 4347–4362.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4347–4362
Mots-clés : Uncertainty Optimization Modeling Continuous process Planning Résumé : The operational planning problem typically determines both the plant’s aggregate and daily production targets to meet product demands over a long time horizon varying from one to three months. The daily production profile generated from the operational planning level is used to schedule the day-to-day operations of the plant. In this paper, we first extend the production disaggregation model framework proposed by Verderame and Floudas, Ind. Eng. Chem. Res.2008, 47, 4845–4860 to develop a novel mixed-integer linear programming operational planning model based on discrete-time representation for a large-scale multiproduct continuous plant. We allow unused processing time to carry over from one day to the next and thus capture the continuous time nature of the plant. The production totals are disaggregated into a feasible distribution of daily production requirements, and daily production profiles are provided to meet the requirements of the medium-term scheduling model developed by Shaik and Floudas, Comput. Chem. Eng.2009, 33, 670–686. Then, we extend the work of Lin et al. Ind. Eng. Chem. Res.2004, 28, 1069–1085 and Janak et al. Ind. Eng. Chem. Res.2007, 31, 171–195 to address various forms of demand amount and due date uncertainty. The computational results show that the proposed deterministic and robust planning models successfully provide tight upper bounds on the plant’s true production capacity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655642 Optimal event point determination for short - term scheduling of multipurpose batch plants via unit - specific event - based continuous - time approaches / Jie Li in Industrial & engineering chemistry research, Vol. 49 N° 16 (Août 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7446–7469
Titre : Optimal event point determination for short - term scheduling of multipurpose batch plants via unit - specific event - based continuous - time approaches Type de document : texte imprimé Auteurs : Jie Li, Auteur ; Christodoulos A. Floudas, Auteur Année de publication : 2010 Article en page(s) : pp. 7446–7469 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Continuous time Batchwise Multipurpose installation Scheduling Short term Résumé : In the past two decades, three types of continuous-time models have been developed for the short-term scheduling of multipurpose batch plants: sequence-based, slot-based, and event-based models. Both slot- and event-based models require an iterative procedure proposed by Ierapetritou and Floudas ( Ind. Eng. Chem. Res. 1998, 37, 4341) to determine the number of event points or slots, which results in increased computational time and no optimal number of event points or slots in some cases. In this work, we first enhance the recently proposed three-index unit-specific event-based model developed by Shaik and Floudas ( Ind. Eng. Chem. Res. 2009, 48, 2947) and extend it to handle different wait policies. Then, we develop a general framework to obtain the optimal number of event points where an iterative procedure is employed to obtain the maximum number of event points and determine the critical intermediate states. The approach proposed by Janak and Floudas ( Comput. Chem. Eng. 2008, 32, 913) is used to obtain the minimum number of event points. Based on the maximum and minimum numbers of event points, we propose a branch-and-bound strategy to obtain the optimal number of event points. To accelerate convergence, techniques for task prefixing in the shortest path are proposed. Furthermore, we propose some criteria to determine which tasks to split over multiple event points and the maximum number of event points over which to continue them. Several examples with different intermediate storage requirements such as unlimited intermediate storage (UIS) and finite intermediate storage (FIS) are solved to illustrate the potential and computational efficiency of the proposed framework. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901842k [article] Optimal event point determination for short - term scheduling of multipurpose batch plants via unit - specific event - based continuous - time approaches [texte imprimé] / Jie Li, Auteur ; Christodoulos A. Floudas, Auteur . - 2010 . - pp. 7446–7469.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7446–7469
Mots-clés : Continuous time Batchwise Multipurpose installation Scheduling Short term Résumé : In the past two decades, three types of continuous-time models have been developed for the short-term scheduling of multipurpose batch plants: sequence-based, slot-based, and event-based models. Both slot- and event-based models require an iterative procedure proposed by Ierapetritou and Floudas ( Ind. Eng. Chem. Res. 1998, 37, 4341) to determine the number of event points or slots, which results in increased computational time and no optimal number of event points or slots in some cases. In this work, we first enhance the recently proposed three-index unit-specific event-based model developed by Shaik and Floudas ( Ind. Eng. Chem. Res. 2009, 48, 2947) and extend it to handle different wait policies. Then, we develop a general framework to obtain the optimal number of event points where an iterative procedure is employed to obtain the maximum number of event points and determine the critical intermediate states. The approach proposed by Janak and Floudas ( Comput. Chem. Eng. 2008, 32, 913) is used to obtain the minimum number of event points. Based on the maximum and minimum numbers of event points, we propose a branch-and-bound strategy to obtain the optimal number of event points. To accelerate convergence, techniques for task prefixing in the shortest path are proposed. Furthermore, we propose some criteria to determine which tasks to split over multiple event points and the maximum number of event points over which to continue them. Several examples with different intermediate storage requirements such as unlimited intermediate storage (UIS) and finite intermediate storage (FIS) are solved to illustrate the potential and computational efficiency of the proposed framework. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901842k Planning and scheduling under uncertainty / Peter M. Verderame in Industrial & engineering chemistry research, Vol. 49 N° 9 (Mai 2010)
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