Documents disponibles écrits par cet auteur

Multiobjective optimization for design and operation of the chilling train system in ethylene plants / Zhang, Jian in Industrial & engineering chemistry research, Vol. 49 N° 12 (Juin 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5786–5799 Titre : Multiobjective optimization for design and operation of the chilling train system in ethylene plants Type de document : texte imprimé Auteurs : Zhang, Jian, Auteur ; Yanqin Wen, Auteur ; Qiang Xu, Auteur Année de publication : 2010 Article en page(s) : pp. 5786–5799 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Chilling  train  system  Mixed-integer  nonlinear  programming Résumé : The chilling train is a very important section for ethylene plants, as its design and operation significantly influence energy consumption and product loss rates. In this paper, a systematic methodology for the optimal design and operation of a chilling train system has been presented. A multiobjective mixed-integer nonlinear programming (MINLP) model has been developed, which aims at minimizing the ethylene loss rate and the exergy-accounted energy consumption, meanwhile maximizing the hydrogen recovery rate. Also presented are the technologies for obtaining reliable thermodynamic properties based on rigorous simulation and the methods for removing redundant variables for MINLP model simplification. On the basis of the methodology, the optimal design and operating conditions of a chilling train system can be simultaneously achieved. A real case study has demonstrated the efficacy of the developed methodology. The results show that the optimized chilling train system has better economic performance than the current system. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100455g [article] Multiobjective optimization for design and operation of the chilling train system in ethylene plants [texte imprimé] / Zhang, Jian, Auteur ; Yanqin Wen, Auteur ; Qiang Xu, Auteur . - 2010 . - pp. 5786–5799. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5786–5799 Mots-clés : Chilling  train  system  Mixed-integer  nonlinear  programming Résumé : The chilling train is a very important section for ethylene plants, as its design and operation significantly influence energy consumption and product loss rates. In this paper, a systematic methodology for the optimal design and operation of a chilling train system has been presented. A multiobjective mixed-integer nonlinear programming (MINLP) model has been developed, which aims at minimizing the ethylene loss rate and the exergy-accounted energy consumption, meanwhile maximizing the hydrogen recovery rate. Also presented are the technologies for obtaining reliable thermodynamic properties based on rigorous simulation and the methods for removing redundant variables for MINLP model simplification. On the basis of the methodology, the optimal design and operating conditions of a chilling train system can be simultaneously achieved. A real case study has demonstrated the efficacy of the developed methodology. The results show that the optimized chilling train system has better economic performance than the current system. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100455g

Simultaneous optimization of crude oil blending and purchase planning with delivery uncertainty consideration / Zhang, Jian in Industrial & engineering chemistry research, Vol. 51 N° 25 (Juin 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 25 (Juin 2012) . - pp. 8453-8464 Titre : Simultaneous optimization of crude oil blending and purchase planning with delivery uncertainty consideration Type de document : texte imprimé Auteurs : Zhang, Jian, Auteur ; Yanqin Wen, Auteur ; Qiang Xu, Auteur Année de publication : 2012 Article en page(s) : pp. 8453-8464 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Uncertainty  Planning  Crude  oil  Optimization Résumé : Crude-oil blending is a common practice to obtain qualified mixing oils for refinery processing at low costs. The blending component crudes are subject to inventory constraints, which in turn are dynamically affected by the refinery purchase plan including the crude-oil types, amounts, and delivery over a planned period of time. As the crude-oil price and availability constantly changes in a volatile market, the crude-oil blending and purchase planning should be coordinated and simultaneously optimized to maximize the potential profitability of a refinery plant This becomes even more important when the uncertainty of crude-oil delivery time is also taken into account. In this paper, a general MINLP (mixed-integer nonlinear programming) model is developed to address the profit optimization of crude-oil blending and purchase planning in refinery plants. Inventory-related flexibility indexes are developed to characterize the ability of a refinery for handling the uncertainty of crude-oil delivery delays. In-depth relations between the production flexibility and the plant profit are also disclosed The efficacy of the developed methodology is demonstrated by industrial case studies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26066773 [article] Simultaneous optimization of crude oil blending and purchase planning with delivery uncertainty consideration [texte imprimé] / Zhang, Jian, Auteur ; Yanqin Wen, Auteur ; Qiang Xu, Auteur . - 2012 . - pp. 8453-8464. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 25 (Juin 2012) . - pp. 8453-8464 Mots-clés : Uncertainty  Planning  Crude  oil  Optimization Résumé : Crude-oil blending is a common practice to obtain qualified mixing oils for refinery processing at low costs. The blending component crudes are subject to inventory constraints, which in turn are dynamically affected by the refinery purchase plan including the crude-oil types, amounts, and delivery over a planned period of time. As the crude-oil price and availability constantly changes in a volatile market, the crude-oil blending and purchase planning should be coordinated and simultaneously optimized to maximize the potential profitability of a refinery plant This becomes even more important when the uncertainty of crude-oil delivery time is also taken into account. In this paper, a general MINLP (mixed-integer nonlinear programming) model is developed to address the profit optimization of crude-oil blending and purchase planning in refinery plants. Inventory-related flexibility indexes are developed to characterize the ability of a refinery for handling the uncertainty of crude-oil delivery delays. In-depth relations between the production flexibility and the plant profit are also disclosed The efficacy of the developed methodology is demonstrated by industrial case studies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26066773