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Numerical Simulation of the Gas-Solid Two-Phase Flow-Reaction Process in a Maximizing Isoparaffin Process Reactor
Guihua Hu1, Tianyue Li1, Jian Long1
1Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
This study developed a reliable coupled flow-reaction model for the maximizing isoparaffin process (MIP). The model accurately predicts fluid catalytic cracking (FCC) performance, optimizing operations for efficiency and reduced pollution.
Area of Science:
- Chemical Engineering
- Multiphase Flow Dynamics
- Catalysis
Background:
- Fluid catalytic cracking (FCC) processes involve complex reactions and phase transitions.
- Optimizing FCC, specifically the maximizing isoparaffin process (MIP), is crucial for efficient, low-pollution, and cost-effective catalytic device design and operation.
Purpose of the Study:
- To develop and validate a coupled flow-reaction model for an industrial MIP riser reactor.
- To investigate the impact of operating variables on the gas-solid two-phase flow-reaction process in MIP.
Main Methods:
- Employed an Eulerian-Eulerian model coupled with an 11-lump kinetic model.
- Integrated a drag model based on the energy-minimization multiscale model into FLUENT via a user-defined function (UDF).
- Validated the model against industrial data for catalyst temperature and product component concentrations.
Main Results:
- The coupled model accurately predicted catalyst temperature distribution and outlet product concentrations, confirming its reliability.
- Analyzed catalyst particle velocity profiles in different riser zones (prelifting, first, and second reaction zones).
- Determined that increasing catalyst-to-oil ratio affects product yields (e.g., decreases diesel, increases gasoline and light gases).
Conclusions:
- The established coupled flow-reaction and drag models are effective for simulating industrial MIP riser reactors.
- Operating variables like catalyst-to-oil ratio and catalyst inlet temperature significantly influence product distribution.
- The findings offer important guidance for optimizing MIP process design and operation.
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