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Détail de l'auteur
Auteur Rajab Khalilpour
Documents disponibles écrits par cet auteur
Affiner la rechercheSelection of liquefied natural gas (LNG) contracts for minimizing procurement cost / Rajab Khalilpour in Industrial & engineering chemistry research, Vol. 50 N° 17 (Septembre 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 10298-10312
Titre : Selection of liquefied natural gas (LNG) contracts for minimizing procurement cost Type de document : texte imprimé Auteurs : Rajab Khalilpour, Auteur ; Iftekhar A. Karimi, Auteur Année de publication : 2011 Article en page(s) : pp. 10298-10312 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Liquefied natural gas Résumé : Recent increases in energy prices, the rise in natural gas demand due to the concerns over CO2 emissions and a possible carbon tax, the development of low-cost and high-capacity liquefied natural gas (LNG) value chain, the emergence of new suppliers with large gas reserves, the flow of uncommitted LNG capacity to the market, and the disappearance of conventional clauses such as destination are stimulating global LNG trade. Moreover, natural gas liberalization is resulting in the emergence of new buyers with variable demands, which is increasing the competitiveness and dynamicity of the LNG market. The LNG contracts are thus diversifying in price formulations, flexibility, duration, quality, quantity, commitment, discount, and other terms and conditions. Finding a combination of contracts and suppliers, which trades offvarious cost factors in an optimal manner, is becoming more and more challenging, where systematic optimization-based approaches can be very useful. In this study, we address contract selection from the perspective of an LNG buyer company. We develop a mixed-integer linear programming formalism that helps the buyer select the best combination of suppliers and contracts in an integrated manner that addresses various aspects, such as contract timings and lengths, demands, price formulations, volume discounts, delivery terms, shipment costs, purchase commitments, etc. We minimize the sum of purchase and transport costs, and we illustrate our approach using three examples with diverse and realistic features. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483675 [article] Selection of liquefied natural gas (LNG) contracts for minimizing procurement cost [texte imprimé] / Rajab Khalilpour, Auteur ; Iftekhar A. Karimi, Auteur . - 2011 . - pp. 10298-10312.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 10298-10312
Mots-clés : Liquefied natural gas Résumé : Recent increases in energy prices, the rise in natural gas demand due to the concerns over CO2 emissions and a possible carbon tax, the development of low-cost and high-capacity liquefied natural gas (LNG) value chain, the emergence of new suppliers with large gas reserves, the flow of uncommitted LNG capacity to the market, and the disappearance of conventional clauses such as destination are stimulating global LNG trade. Moreover, natural gas liberalization is resulting in the emergence of new buyers with variable demands, which is increasing the competitiveness and dynamicity of the LNG market. The LNG contracts are thus diversifying in price formulations, flexibility, duration, quality, quantity, commitment, discount, and other terms and conditions. Finding a combination of contracts and suppliers, which trades offvarious cost factors in an optimal manner, is becoming more and more challenging, where systematic optimization-based approaches can be very useful. In this study, we address contract selection from the perspective of an LNG buyer company. We develop a mixed-integer linear programming formalism that helps the buyer select the best combination of suppliers and contracts in an integrated manner that addresses various aspects, such as contract timings and lengths, demands, price formulations, volume discounts, delivery terms, shipment costs, purchase commitments, etc. We minimize the sum of purchase and transport costs, and we illustrate our approach using three examples with diverse and realistic features. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483675