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International Journal of Chemical Engineering
Volume 2015, Article ID 259603, 13 pages
http://dx.doi.org/10.1155/2015/259603
Research Article

Analysis of Process Variables via CFD to Evaluate the Performance of a FCC Riser

1School of Chemical Engineering, University of Campinas, 500 Albert Einstein Avenida, 13083-970 Campinas, SP, Brazil
2PETROBRAS/AB-RE/TR/OT, 65 República do Chile Avenida, 20031-912 Rio de Janeiro, RJ, Brazil
3Chemical Engineering, Heriot-Watt University, Edinburgh EH144AS, UK

Received 25 August 2014; Revised 2 January 2015; Accepted 15 January 2015

Academic Editor: Deepak Kunzru

Copyright © 2015 H. C. Alvarez-Castro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Feedstock conversion and yield products are studied through a 3D model simulating the main reactor of the fluid catalytic cracking (FCC) process. Computational fluid dynamic (CFD) is used with Eulerian-Eulerian approach to predict the fluid catalytic cracking behavior. The model considers 12 lumps with catalyst deactivation by coke and poisoning by alkaline nitrides and polycyclic aromatic adsorption to estimate the kinetic behavior which, starting from a given feedstock, produces several cracking products. Different feedstock compositions are considered. The model is compared with sampling data at industrial operation conditions. The simulation model is able to represent accurately the products behavior for the different operating conditions considered. All the conditions considered were solved using a solver ANSYS CFX 14.0. The different operation process variables and hydrodynamic effects of the industrial riser of a fluid catalytic cracking (FCC) are evaluated. Predictions from the model are shown and comparison with experimental conversion and yields products are presented; recommendations are drawn to establish the conditions to obtain higher product yields in the industrial process.