scholarly journals Recent Progress in the Engineering of Polymeric Membranes for CO2 Capture from Flue Gas

Membranes ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 365
Author(s):  
Yang Han ◽  
Yutong Yang ◽  
W. S. Winston Ho

CO2 capture from coal- or natural gas-derived flue gas has been widely considered as the next opportunity for the large-scale deployment of gas separation membranes. Despite the tremendous progress made in the synthesis of polymeric membranes with high CO2/N2 separation performance, only a few membrane technologies were advanced to the bench-scale study or above from a highly idealized laboratory setting. Therefore, the recent progress in polymeric membranes is reviewed in the perspectives of capture system energetics, process synthesis, membrane scale-up, modular fabrication, and field tests. These engineering considerations can provide a holistic approach to better guide membrane research and accelerate the commercialization of gas separation membranes for post-combustion carbon capture.

2016 ◽  
Vol 4 (44) ◽  
pp. 17431-17439 ◽  
Author(s):  
Ali Pournaghshband Isfahani ◽  
Behnam Ghalei ◽  
Kazuki Wakimoto ◽  
Rouhollah Bagheri ◽  
Easan Sivaniah ◽  
...  

We generate crosslinked PU membranes that retain high separation performance and provide enhanced plasticization resistance under realistic industrial separation conditions.


2011 ◽  
Vol 5 (1) ◽  
pp. 37-48 ◽  
Author(s):  
M. Bram ◽  
K. Brands ◽  
T. Demeusy ◽  
L. Zhao ◽  
W.A. Meulenberg ◽  
...  

2021 ◽  
Author(s):  
Jason Yang ◽  
Lei Tao ◽  
Jinlong He ◽  
Jeffrey McCutcheon ◽  
Ying Li

Polymer membranes perform innumerable separations with far-reaching environmental implications. Despite decades of research on membrane technologies, design of new membrane materials remains a largely Edisonian process. To address this shortcoming, we demonstrate a generalizable, accurate machine-learning (ML) implementation for the discovery of innovative polymers with ideal separation performance. Specifically, multitask ML models are trained on available experimental data to link polymer chemistry to gas permeabilities of He, H2, O2, N2, CO2, and CH4. We interpret the ML models and extract chemical heuristics for membrane design, through Shapley Additive exPlanations (SHAP) analysis. We then screen over nine million hypothetical polymers through our models and identify thousands of candidates that lie well above current performance upper bounds. Notably, we discover hundreds of never-before-seen ultrapermeable polymer membranes with O2 and CO2 permeability greater than 104 and 105 Barrer, respectively, orders of magnitude higher than currently available polymeric membranes. These hypothetical polymers are capable of overcoming undesirable trade-off relationship between permeability and selectivity, thus significantly expanding the currently limited library of polymer membranes for highly efficient gas separations. High-fidelity molecular dynamics simulations confirm the ML-predicted gas permeabilities of the promising candidates, which suggests that many can be translated to reality.


Polymers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 704 ◽  
Author(s):  
Wouter Dujardin ◽  
Cédric Van Goethem ◽  
Julian A. Steele ◽  
Maarten Roeffaers ◽  
Ivo F. J. Vankelecom ◽  
...  

Polynorbornenes are already used in a wide range of applications. They are also considered materials for polymer gas separation membranes because of their favorable thermal and chemical resistance, rigid backbone and varied chemistry. In this study, the use of 5-vinyl-2-norbornene (VNB), a new monomer in the field of gas separations, is investigated by synthesizing two series of polymers via a vinyl-addition polymerization. The first series investigates the influence of the VNB content on gas separation in a series of homo and copolymers with norbornene. The second series explores the influence of the crosslinking of polyvinylnorbornene (pVNB) on gas separation. The results indicate that while crosslinking had little effect, the gas separation performance could be fine-tuned by controlling the VNB content. As such, this work demonstrates an interesting way to significantly extend the fine-tuning possibilities of polynorbornenes for gas separations.


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