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Modeling coke distribution above the freeboard of a FLUID COKING reactor / Christopher B. Solnordal in Industrial & engineering chemistry research, Vol. 51 N° 47 (Novembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 47 (Novembre 2012) . - pp. 15337–15350 Titre : Modeling coke distribution above the freeboard of a FLUID COKING reactor Type de document : texte imprimé Auteurs : Christopher B. Solnordal, Auteur ; Kevin J. Reid, Auteur ; Larry P. Hackman, Auteur Année de publication : 2013 Article en page(s) : pp. 15337–15350 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Fluid  coking Résumé : In a FLUID COKING unit, reactor cyclone fouling by coke deposits can set the run length of the unit. Over time the coke deposits can grow and obstruct the cyclone which will limit throughput and lead to a shutdown. For this reason, producing a more uniform coke distribution pattern within the reactor horn chamber may lead to an increased interval between turnarounds. An existing pilot-scale experimental model of the coker reactor freeboard, horn chamber, and exit cyclones allows determination of coke distribution to the cyclones, but provides limited understanding of the underlying fluid dynamics within the system. In this work a two-phase computational fluid dynamics (CFD) model of this experimental rig was developed. Coke was modeled as an Eulerian stream of solid particles with monodisperse particle diameter. It was found that predicted coke distributions were sensitive to the choice of coke diameter, but a suitable choice gave good agreement with experimental observations. In the current work this value was 167 μm which was substantially higher than the value of the Sauter mean diameter of 139 μm. It was found that the CFD model could quantitatively predict coke distributions in the freeboard region of a FLUID COKING reactor experimental rig, while providing insight into the flow dynamics. When modeling the particle size distribution with a monodisperse particle diameter, comparison with experimental results is necessary to identify the coke particle diameter that leads to optimal model performance. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie3010176 [article] Modeling coke distribution above the freeboard of a FLUID COKING reactor [texte imprimé] / Christopher B. Solnordal, Auteur ; Kevin J. Reid, Auteur ; Larry P. Hackman, Auteur . - 2013 . - pp. 15337–15350. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 47 (Novembre 2012) . - pp. 15337–15350 Mots-clés : Fluid  coking Résumé : In a FLUID COKING unit, reactor cyclone fouling by coke deposits can set the run length of the unit. Over time the coke deposits can grow and obstruct the cyclone which will limit throughput and lead to a shutdown. For this reason, producing a more uniform coke distribution pattern within the reactor horn chamber may lead to an increased interval between turnarounds. An existing pilot-scale experimental model of the coker reactor freeboard, horn chamber, and exit cyclones allows determination of coke distribution to the cyclones, but provides limited understanding of the underlying fluid dynamics within the system. In this work a two-phase computational fluid dynamics (CFD) model of this experimental rig was developed. Coke was modeled as an Eulerian stream of solid particles with monodisperse particle diameter. It was found that predicted coke distributions were sensitive to the choice of coke diameter, but a suitable choice gave good agreement with experimental observations. In the current work this value was 167 μm which was substantially higher than the value of the Sauter mean diameter of 139 μm. It was found that the CFD model could quantitatively predict coke distributions in the freeboard region of a FLUID COKING reactor experimental rig, while providing insight into the flow dynamics. When modeling the particle size distribution with a monodisperse particle diameter, comparison with experimental results is necessary to identify the coke particle diameter that leads to optimal model performance. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie3010176