[1] Koutsiantzi C, Mitrakas M, Zouboulis A, Kellartzis I, Stavropoulos G, Kikkinides ES. Evaluation of polymeric membranes’ performance during laboratory-scale experiments, regarding the CO2 separation from CH4. Chemosphere. 2022;299:134224.
[2] Osman AI, Nasr M, Farghali M, Bakr SS, Eltaweil AS, Rashwan AK, et al. Machine learning for membrane design in energy production, gas separation, and water treatment: a review. Vol. 22, Environmental Chemistry Letters. 2024. p. 505–60.
[3] Ferro FS, Carmo BS. Numerical modeling and simulation of hollow fiber dense membranes for CO2/CH4 separation using CFD. J Memb Sci. 2025;729:124134.
[4] Yao X, Freger V, He X, Wang R, Kong B. Three-dimensional CFD modeling for hollow fiber gas separation membrane modules based on a dual porous media model. Chem Eng Sci. 2025;302:120864.
[5] Saidi M, Farokhi G. Membrane-based modeling and simulation of natural gas dehydration. In: Advances in Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation: Volume 8. 2024. p. 211–53.
[6] Vakylabad AB. Process modeling and simulation of nitrogen separation from natural gas. In: Advances in Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation: Volume 8. 2024. p. 335–66.
[7] Zabiri H, Kamaruddin B. Case studies of modeling and simulation of natural gas sweetening processes. In: Advances in Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation: Volume 8. 2024. p. 145–61.
[8] Vakylabad AB. Process modeling and simulation of natural gas sweetening by absorption processes. In: Advances in Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation: Volume 8. 2024. p. 3–29.
[9] Mirfasihi SS, Jomekian A, Bazooyar B. Modeling and simulation of hydrocarbon dew point adjustment of natural gas via supersonic separators. In: Advances in Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation: Volume 8. 2024. p. 279–310.
[10] Bilal Jan M, Ahmad Saddiqi H, Adil Khan M, Ullah A, Imran Ahmad M, Ahmad F. Optimizing propane–propylene separation via Aspen Plus simulation and machine learning-based predictive modeling. Sep Sci Technol. 2026;3:1–21.
[11] Xu J, Wang Z, Qiao Z, Wu H, Dong S, Zhao S, et al. Post-combustion CO2 capture with membrane process: Practical membrane performance and appropriate pressure. J Memb Sci. 2019;581:195–213.
[12] Liu B, Yang X, Wang T, Zhang M, Chiang PC. CO2 separation by using a three-stage membrane process. Aerosol Air Qual Res. 2019;19(12):167–75.
[13] Jomekian A, Behbahani RM. Experimental, modeling and AspenPlus Simulation of different configurations of membrane separation Systems for highly loaded CO2 selective Pebax 1657-ZIF-8 membrane. J Membr Sci Res [Internet]. 2021;7. Available from: https://doi.org/10.22079/jmsr.2020.136920.1411
[14] Taifan GSP, Maravelias CT. Integrated membrane material design and system synthesis. Chem Eng Sci. 2023;269:134–42.
[15] Taifan GSP, Maravelias CT. Generalized optimization-based synthesis of membrane systems for multicomponent gas mixture separation. Chem Eng Sci. 2022;252:117482.
[16] Demirel SE, Li J, Hasan MMF. Membrane Separation Process Design and Intensification. Ind Eng Chem Res. 2021;60(19):7197–7217.
[17] Abejón R, Casado-Coterillo C, Garea A. Techno-Economic Optimization of Multistage Membrane Processes with Innovative Hollow Fiber Modules for the Production of High-Purity CO2and CH4 from Different Sources. Ind Eng Chem Res. 2022;61(23):8149–8165.
[18] Ahmad F, Lau KK, Shariff AM, Murshid G. Process simulation and optimal design of membrane separation system for CO2 capture from natural gas. Comput Chem Eng. 2012;36:119–28.
[19] Choi J, Ideta K, Yi H, Kato T, Saito K, Watanabe H, et al. Marine biomass-derived activated carbon as an electrode material for electric double-layer capacitors. Carbon Lett. 2025;35(3):1221–33.
[20] Ismail AF, Lorna W. Penetrant-induced plasticization phenomenon in glassy polymers for gas separation membrane. Vol. 27, Separation and Purification Technology. 2002.