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Parameters estimation of gas capture through Mixed Matrix Membrane (MMM) with CFD
Ali A Abdulabbas1, Thamer J Mohammed2, Tahseen A Al-Hattab3
1Department of Chemical Engineering and Petroleum Industries, Al-Amarah University College, Maysan, Iraq.
Plos One
|May 13, 2025
Summary
This study models carbon dioxide (CO2) capture from natural gas using a mixed matrix membrane (MMM). The computational fluid dynamics (CFD) model accurately predicts MMM performance, showing less than 5% deviation from experimental data.
Area of Science:
- Chemical Engineering
- Materials Science
- Environmental Science
Background:
- Greenhouse gas emissions, particularly carbon dioxide (CO2), drive climate change.
- Effective CO2 capture technologies are vital for mitigating anthropogenic environmental impact.
- Mixed matrix membranes (MMMs) offer a promising approach for gas separation applications.
Purpose of the Study:
- To develop and validate a 3-D computational fluid dynamics (CFD) model for predicting the performance of a mixed matrix membrane (MMM) in capturing carbon dioxide (CO2) from natural gas (NG).
- To estimate key membrane parameters, such as permeance and diffusion coefficient, using an integrated artificial neural network (ANN) and CFD approach.
- To assess the influence of operational variables on CO2 permeation through the MMM.
Main Methods:
- Utilized computational fluid dynamics (CFD) simulations in COMSOL 6.1 to model gas transport governed by Fick's law and Navier-Stokes equations.
- Integrated an artificial neural network (ANN) developed in MATLAB R2021a with CFD simulations to estimate membrane properties.
- Minimized the sum of squared errors (SSE) between experimental and simulated permeate concentrations to refine model parameters.
Main Results:
- The integrated ANN-CFD model successfully estimated MMM parameters, predicting performance for various gas pairs.
- Operational variables like CO2 concentration and feed pressure directly influenced gas permeation, while temperature showed no clear effect.
- The developed CFD model demonstrated high accuracy, with less than 5% deviation from experimental data for the MMM in gas separation.
Conclusions:
- The validated CFD model provides a reliable tool for predicting MMM performance in CO2 capture from natural gas.
- The study highlights the significant impact of operational parameters on membrane separation efficiency.
- This research contributes to the advancement of efficient CO2 capture technologies for environmental mitigation.
