Prediction of Molecular Distribution and Temperature Profile of FCC
Process through Molecular-Level Kinetic Modeling
- Zhengyu Chen,
- Gang Wang,
- Suoqi Zhao,
- Linzhou Zhang
Abstract
This work aims to develop a molecular-level process model framework for
simulating the FCC process. The process model consists of the riser,
regenerator, and separation models. A complex molecular-level kinetic
model, containing 3,652 molecules and 8,202 reactions, was developed for
the heavy oil FCC process. The kinetic model was coupled with the riser
model, and the model parameter was tuned by a set of systematic
experimental data from a pilot-scale plant. After that, a two-zone and
two-phase regenerator model was built. The regenerator was combined with
the riser model, and the coupled modeling and process simulation for the
riser-type FCC unit was developed. The results show that the calculated
value of fraction yields and key bulk properties agrees well with the
experimental data. Moreover, the molecular distribution of the product
and temperature profile was also predicted.