Documents disponibles écrits par cet auteur

Multisite refinery and petrochemical network design / K. Al-Qahtani in Industrial & engineering chemistry research, Vol. 48 N°2 (Janvier 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N°2 (Janvier 2009) . - p. 814–826 Titre : Multisite refinery and petrochemical network design : optimal integration and coordination Type de document : texte imprimé Auteurs : K. Al-Qahtani, Auteur ; Ali Elkamel, Auteur Année de publication : 2009 Article en page(s) : p. 814–826 Note générale : chemical engineering Langues : Anglais (eng) Mots-clés : Petrochemical  Network  Design: Résumé : This paper addresses the design of optimal integration and coordination of a refinery and petrochemical network to satisfy given chemical products demand. The refinery and petrochemical systems were modeled as a mixed-integer problem with the objective of minimizing the annualized cost over a given time horizon among the refineries and maximizing the added value of the petrochemical network. The main feature of the paper is the development of a methodology for simultaneous analysis of process network integration within a multisite refinery and petrochemical system. This approach provides appropriate planning across the petroleum refining and petrochemical industry and achieves an optimal production strategy by allowing appropriate trade-offs between the refinery and the downstream petrochemical markets. The performance of the proposed model was tested on industrial-scale examples of multiple refineries and a poly(vinyl chloride) (PVC) complex to illustrate the economic potential and trade-offs involved in the optimization of the network. The proposed methodology not only devises the integration network in the refineries and synthesizes the petrochemical industry, but also provides refinery expansion requirements, production levels, and blending levels. The use of mathematical programming on an enterprise-wide scale to address strategic decisions considering various process integration alternatives yields substantial benefits. These benefits of process integration materialize in terms of economic considerations and improvements in the understanding of the process interactions and systems limitations. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801001q [article] Multisite refinery and petrochemical network design : optimal integration and coordination [texte imprimé] / K. Al-Qahtani, Auteur ; Ali Elkamel, Auteur . - 2009 . - p. 814–826. chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N°2 (Janvier 2009) . - p. 814–826 Mots-clés : Petrochemical  Network  Design: Résumé : This paper addresses the design of optimal integration and coordination of a refinery and petrochemical network to satisfy given chemical products demand. The refinery and petrochemical systems were modeled as a mixed-integer problem with the objective of minimizing the annualized cost over a given time horizon among the refineries and maximizing the added value of the petrochemical network. The main feature of the paper is the development of a methodology for simultaneous analysis of process network integration within a multisite refinery and petrochemical system. This approach provides appropriate planning across the petroleum refining and petrochemical industry and achieves an optimal production strategy by allowing appropriate trade-offs between the refinery and the downstream petrochemical markets. The performance of the proposed model was tested on industrial-scale examples of multiple refineries and a poly(vinyl chloride) (PVC) complex to illustrate the economic potential and trade-offs involved in the optimization of the network. The proposed methodology not only devises the integration network in the refineries and synthesizes the petrochemical industry, but also provides refinery expansion requirements, production levels, and blending levels. The use of mathematical programming on an enterprise-wide scale to address strategic decisions considering various process integration alternatives yields substantial benefits. These benefits of process integration materialize in terms of economic considerations and improvements in the understanding of the process interactions and systems limitations. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801001q

Robust optimization for petrochemical network design under uncertainty / K. Al-Qahtani in Industrial & engineering chemistry research, Vol. 47 n°11 (Juin 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 n°11 (Juin 2008) . - p. 3912–3919 Titre : Robust optimization for petrochemical network design under uncertainty Type de document : texte imprimé Auteurs : K. Al-Qahtani, Auteur ; A. Elkamel, Auteur ; K. Ponnambalam, Auteur Année de publication : 2008 Article en page(s) : p. 3912–3919 Note générale : Bibliogr. p. 3918-3919 Langues : Anglais (eng) Mots-clés : Petrochemical  network;  Two-stage  stochastic  MINLP Résumé : This paper addresses the strategic planning, design, and optimization of a network of petrochemical processes under uncertainty and risk considerations. In this work, we extend the deterministic model proposed by Al-Sharrah et al. [Ind. Eng. Chem. Res. 2001, 40, 2103; Chem. Eng. Res. Des. 2006, 84, 1019] to account for parameter uncertainty in process yield, raw material cost, product prices, and lower product market demand. The problem was formulated as a two-stage stochastic mixed-integer nonlinear programming model (MINLP). Risk was accounted for in terms of deviation in both projected benefits in the first stage variables and process yield and forecasted demand in terms of the recourse variables. For each term, a different scaling factor was used to analyze the sensitivity of the petrochemical network due to variations of each component. The study showed that the final petrochemical network bears more sensitivity to variations in product demand and process yields for scaling parameters values that maintain the final petrochemical structure obtained form the stochastic model. The concept of expected value of perfect information (EVPI) and value of the stochastic solution (VSS) are also investigated to numerically illustrate the value of including the randomness of the different model parameters. Modeling uncertainty in the process parameters provided a more robust analysis and practical perspective of this type of problem in the chemical industry. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0713184 [article] Robust optimization for petrochemical network design under uncertainty [texte imprimé] / K. Al-Qahtani, Auteur ; A. Elkamel, Auteur ; K. Ponnambalam, Auteur . - 2008 . - p. 3912–3919. Bibliogr. p. 3918-3919 Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°11 (Juin 2008) . - p. 3912–3919 Mots-clés : Petrochemical  network;  Two-stage  stochastic  MINLP Résumé : This paper addresses the strategic planning, design, and optimization of a network of petrochemical processes under uncertainty and risk considerations. In this work, we extend the deterministic model proposed by Al-Sharrah et al. [Ind. Eng. Chem. Res. 2001, 40, 2103; Chem. Eng. Res. Des. 2006, 84, 1019] to account for parameter uncertainty in process yield, raw material cost, product prices, and lower product market demand. The problem was formulated as a two-stage stochastic mixed-integer nonlinear programming model (MINLP). Risk was accounted for in terms of deviation in both projected benefits in the first stage variables and process yield and forecasted demand in terms of the recourse variables. For each term, a different scaling factor was used to analyze the sensitivity of the petrochemical network due to variations of each component. The study showed that the final petrochemical network bears more sensitivity to variations in product demand and process yields for scaling parameters values that maintain the final petrochemical structure obtained form the stochastic model. The concept of expected value of perfect information (EVPI) and value of the stochastic solution (VSS) are also investigated to numerically illustrate the value of including the randomness of the different model parameters. Modeling uncertainty in the process parameters provided a more robust analysis and practical perspective of this type of problem in the chemical industry. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0713184