Metal–organic frameworks with potential for energy-efficient adsorptive separation of light hydrocarbons

2012 ◽  
Vol 5 (10) ◽  
pp. 9107 ◽  
Author(s):  
Yabing He ◽  
Rajamani Krishna ◽  
Banglin Chen
2020 ◽  
Vol 4 (10) ◽  
pp. 3057-3062
Author(s):  
Xinyang Yin ◽  
Xueyi Zhang

Hierarchical metal organic frameworks (MOFs) are a type of MOF material with both micropores and mesopores.


2018 ◽  
Vol 19 (2) ◽  
pp. 832-838 ◽  
Author(s):  
Yutong Wang ◽  
Xia Wang ◽  
Xiaokang Wang ◽  
Xiurong Zhang ◽  
Weidong Fan ◽  
...  

2021 ◽  
Author(s):  
Jaehoon Cha ◽  
Seongbin Ga ◽  
Seung-Joon LEE ◽  
Soomyung Nam ◽  
Youn-Sang Bae ◽  
...  

<p> In this work, we proposed multi-scale screening, which employs both molecular and process-level models, to identify high-performing MOFs for energy-efficient separation of SF$_6$ from SF$_6$ and N$_2$ mixture. Grand canonical Monte Carlo (GCMC) simulations were combined with ideal adsorption process simulation to computationally screen 14,000 metal-organic frameworks (MOFs) for adsorptive separation of SF$_6$ \/ N$_2$. More than 150 high-performing MOFs were identified based on the results from GCMC simulations at the pressure and vacuum swing conditions, and subsequently evaluated using the ideal adsorption process simulation. High-performing MOFs selected for the VSA conditions are able to achieve the 90 \% target purity level of SF$_6$ but none of the selected MOFs for PSA conditions could. Cascade PSA configuration was proposed and adopted to improve the purity level of the separated SF$_6$. Cascade PSA configuration was also adopted to improve the purity. In the pump efficiency scenarios of 80, 20, and 10 \%, the VSA and cascade PSA cases were compared, which concluded 10 \% scenario prefers the PSA case whereas the VSA case is favored in the others. Top-performing MOFs identified from the multi-scale computational approach were found to be able to produce 90\% purity SF$_6$ with 0.10 - 0.4 and 0.5 - 1.4 MJ per kg of SF$_6$ for VSA and PSA, respectively.<br></p>


2021 ◽  
pp. 131787
Author(s):  
Jaehoon Cha ◽  
Seongbin Ga ◽  
Seung-jun Lee ◽  
Soomyung Nam ◽  
Youn-Sang Bae ◽  
...  

2020 ◽  
Vol 242 ◽  
pp. 116819 ◽  
Author(s):  
Huan Xiang ◽  
Yan Shao ◽  
Ahmed Ameen ◽  
Huanhao Chen ◽  
Weiting Yang ◽  
...  

2019 ◽  
Vol 25 (68) ◽  
pp. 15426-15426
Author(s):  
Jiawei Wang ◽  
Liangying Li ◽  
Lidong Guo ◽  
Yingcai Zhao ◽  
Danyan Xie ◽  
...  

2020 ◽  
Vol 20 (8) ◽  
pp. 4882-4885
Author(s):  
Huihui He ◽  
Bingbing Guo ◽  
Yang Liu ◽  
Liangliang Zhang ◽  
Wei Huang

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