Simulation Model for Prediction of Gas Separation in Membrane Contactor Process.

Area of Science:

• Chemical Engineering
• Separation Processes
• Membrane Technology

Background:

• Membrane contactors offer efficient gas-liquid contact for separation.
• Predictive models are crucial for optimizing membrane process performance.

Purpose of the Study:

• To develop a practical simulation model for membrane contactor gas separation.
• To predict separation behavior using mass balance, transport, and equilibrium equations.
• To optimize operational parameters for maximizing separation efficiency.

Main Methods:

• Established a simulation model based on fundamental mass transfer principles.
• Validated the model using experimental data for CH4/CO2 separation.
• Determined the R-value (permeability) by fitting model to experimental data.
• Conducted parametric studies for N2/CO2 separation to analyze operational effects.

Main Results:

• The simulation model demonstrated excellent agreement with real process data.
• Liquid flow rate inversely affects N2 recovery but positively impacts CO2 separation.
• R-value shows an opposing effect on separation performance compared to liquid flow rate.
• Identified optimal operational parameters for maximizing N2 recovery and CO2 permeation.

Conclusions:

• The developed simulation model is a reliable tool for membrane contactor process optimization.
• Simulation enables maximizing separation performance by adjusting feed gas pressure, liquid flow rate, and R-value.
• The study provides insights into characterizing membrane contactor separation behavior.