Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Dimitrios K. Varvarezos
Documents disponibles écrits par cet auteur
Affiner la rechercheOptimal solution-range analysis in production planning: refinery feedstock selection / Dimitrios K. Varvarezos in Industrial & engineering chemistry research, Vol. 47 n°21 (Novembre 2008)
[article]
in Industrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8282–8285
Titre : Optimal solution-range analysis in production planning: refinery feedstock selection Type de document : texte imprimé Auteurs : Dimitrios K. Varvarezos, Auteur Année de publication : 2008 Article en page(s) : p. 8282–8285 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Crude oilAnalysis including all feedstocks Résumé : This paper presents a new way to expand and analyze the optimal solution of a process planning model. Feedstock selection in a refinery is a complex process, accomplished in many steps that typically involve numerous optimization executions that aim at providing a “value” for each potential crude oil feedstock to the refinery for a given operational period. Traditionally, the optimal crude oil slate as determined by the planning system is a point solution that does not provide detailed information regarding potential (finite) changes in the optimal crude oil selection without degradation of the overall plant economics., In this work we define the optimal selection range for each feedstock as the result of a Pareto-type analysis including all feedstocks. Two flexibility indices are defined for each crude oil feed providing a quantitative flexibility metric in the context of optimal economics. The proposed approach provides a useful and practical way to quantitatively evaluate each potential crude feed. This is expressed in terms of an optimal range as defined by the ability of a feedstock to replace and be replaced in the optimal solution without significant economic change. In addition, this analysis provides a map of the optimal surface in terms of near-optimal points around the base solution. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800078e [article] Optimal solution-range analysis in production planning: refinery feedstock selection [texte imprimé] / Dimitrios K. Varvarezos, Auteur . - 2008 . - p. 8282–8285.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8282–8285
Mots-clés : Crude oilAnalysis including all feedstocks Résumé : This paper presents a new way to expand and analyze the optimal solution of a process planning model. Feedstock selection in a refinery is a complex process, accomplished in many steps that typically involve numerous optimization executions that aim at providing a “value” for each potential crude oil feedstock to the refinery for a given operational period. Traditionally, the optimal crude oil slate as determined by the planning system is a point solution that does not provide detailed information regarding potential (finite) changes in the optimal crude oil selection without degradation of the overall plant economics., In this work we define the optimal selection range for each feedstock as the result of a Pareto-type analysis including all feedstocks. Two flexibility indices are defined for each crude oil feed providing a quantitative flexibility metric in the context of optimal economics. The proposed approach provides a useful and practical way to quantitatively evaluate each potential crude feed. This is expressed in terms of an optimal range as defined by the ability of a feedstock to replace and be replaced in the optimal solution without significant economic change. In addition, this analysis provides a map of the optimal surface in terms of near-optimal points around the base solution. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800078e