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Modeling, characteristic analysis, and optimization of ideal internal thermally coupled air separation columns / Liang Chang in Industrial & engineering chemistry research, Vol. 51 N° 44 (Novembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 44 (Novembre 2012) . - pp. 14517-14524 Titre : Modeling, characteristic analysis, and optimization of ideal internal thermally coupled air separation columns Type de document : texte imprimé Auteurs : Liang Chang, Auteur ; Xinggao Liu, Auteur ; Liankui Dai, Auteur Année de publication : 2013 Article en page(s) : pp. 14517-14524 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Separation  column  Optimization  Modeling Résumé : Cryogenic air separation is currently the most widely used but energy-intensive technology for producing large quantities of oxygen and nitrogen, where cryogenic distillation consumes about 75% of the whole air separation field; however, its thermodynamic efficiency is very low. A novel structure of a full tower ideal internal thermally coupled air separation column (ITCASC) is therefore first proposed in this paper. A rigorous mathematic model and parameter analysis are then presented. Research results show that the proposed ITCASC process can yield high-purity products of both oxygen and nitrogen simultaneously and especially has a strong driving force of heat transfer, which reveals the larger energy-saving potential in the ITCASC process. Furthermore, an optimization model of the operation parameters is presented, where both the actual energy-saving potential and the ideal energy-saving potential of ITCASC are investigated. Comparative studies against the conventional cryogenic air separation column (CASC) are carried out in detail. Research results show that the proposed ITCASC process has a larger extraction rate and better energy efficiency, where the nitrogen extraction rate increases 177.94% and the unit energy consumption decreases 40% compared to the CASC process with the same product purity requirements, revealing the advantages and promising application prospect of the proposed ITCASC process. En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620366 [article] Modeling, characteristic analysis, and optimization of ideal internal thermally coupled air separation columns [texte imprimé] / Liang Chang, Auteur ; Xinggao Liu, Auteur ; Liankui Dai, Auteur . - 2013 . - pp. 14517-14524. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 44 (Novembre 2012) . - pp. 14517-14524 Mots-clés : Separation  column  Optimization  Modeling Résumé : Cryogenic air separation is currently the most widely used but energy-intensive technology for producing large quantities of oxygen and nitrogen, where cryogenic distillation consumes about 75% of the whole air separation field; however, its thermodynamic efficiency is very low. A novel structure of a full tower ideal internal thermally coupled air separation column (ITCASC) is therefore first proposed in this paper. A rigorous mathematic model and parameter analysis are then presented. Research results show that the proposed ITCASC process can yield high-purity products of both oxygen and nitrogen simultaneously and especially has a strong driving force of heat transfer, which reveals the larger energy-saving potential in the ITCASC process. Furthermore, an optimization model of the operation parameters is presented, where both the actual energy-saving potential and the ideal energy-saving potential of ITCASC are investigated. Comparative studies against the conventional cryogenic air separation column (CASC) are carried out in detail. Research results show that the proposed ITCASC process has a larger extraction rate and better energy efficiency, where the nitrogen extraction rate increases 177.94% and the unit energy consumption decreases 40% compared to the CASC process with the same product purity requirements, revealing the advantages and promising application prospect of the proposed ITCASC process. En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26620366