scholarly journals High‐throughput Computational Screening of Porous Polymer Networks for Natural Gas Sweetening Based on A Neural Network

AIChE Journal ◽  
2021 ◽  
Author(s):  
Xiuyang Lu ◽  
Yujing Wu ◽  
Xuanjun Wu ◽  
Zhixiang Cao ◽  
Xionghui Wei ◽  
...  
Keyword(s):  
Neural Network ◽  
Natural Gas ◽  
High Throughput ◽  
Polymer Networks ◽  
Porous Polymer ◽  
Computational Screening ◽  
Gas Sweetening ◽  
Natural Gas Sweetening

scholarly journals High-throughput computational screening of porous polymer networks for natural gas sweetening based on neural network

2021 ◽  
Author(s):  
Xuanjun Wu ◽  
Yujing Wu ◽  
Xiuyang Lu ◽  
Zhixiang Cao ◽  
Xionghui Wei ◽  
...  
Keyword(s):  
Neural Network ◽  
Natural Gas ◽  
Polymer Networks ◽  
Machine Learning Algorithms ◽  
Porous Polymer ◽  
Adsorption Selectivity ◽  
Computational Screening ◽  
Gas Sweetening ◽  
Artificial Neural Network Ann ◽  
Natural Gas Sweetening

17,846 PPNs with the diamond-like topology were computationally screened to identify the optimal adsorbents for the removal of H2S and CO2 from humid natural gas based on the combination of molecular simulation and machine learning algorithms. The top-performing PPNs with the highest adsorption performance scores (APS) were identified based on their adsorption capacities and selectivity for H2S and CO2. The strong affinity between water molecules and the framework atoms has a significant impact on the adsorption selectivity of acid gases. We proposed two main design paths (LCD ≤ 4.648 Å, Vf ≤ 0.035, PLD ≤ 3.889 Å or 4.648 Å ≤ LCD ≤ 5.959 Å, ρ ≤ 837 kg·m-3) of high-performing PPNs. We also found that artificial neural network (ANN) could accurately predict the APS of PPNs. N-rich organic linkers and highest isosteric adsorption heat of H2S and CO2 are main factors that could enhance natural gas sweetening performance.

scholarly journals Penetrant competition and plasticization in membranes: How negatives can be positives in natural gas sweetening

2021 ◽  
Vol 627 ◽  
pp. 119201
Author(s):  
Yang Liu ◽  
Zhijie Chen ◽  
Wulin Qiu ◽  
Gongping Liu ◽  
Mohamed Eddaoudi ◽  
...  
Keyword(s):  
Natural Gas ◽  
Gas Sweetening ◽  
Natural Gas Sweetening

scholarly journals Simulation and Optimization of the Acid Gas Absorption Process by an Aqueous Diethanolamine Solution in a Natural Gas Sweetening Unit

ACS Omega ◽  
2021 ◽  
Author(s):  
Nasrin Salimi Darani ◽  
Reza Mosayebi Behbahani ◽  
Yasaman Shahebrahimi ◽  
Afshin Asadi ◽  
Amir H. Mohammadi
Keyword(s):  
Natural Gas ◽  
Gas Absorption ◽  
Absorption Process ◽  
Acid Gas ◽  
Simulation And Optimization ◽  
Gas Sweetening ◽  
Natural Gas Sweetening

Energy requirements, GHG emissions and investment costs in natural gas sweetening processes

2017 ◽  
Vol 38 ◽  
pp. 187-194 ◽  
Author(s):  
Juan Pablo Gutierrez ◽  
Elisa Liliana Ale Ruiz ◽  
Eleonora Erdmann
Keyword(s):  
Natural Gas ◽  
Ghg Emissions ◽  
Energy Requirements ◽  
Gas Sweetening ◽  
Natural Gas Sweetening

scholarly journals The development of a high-throughput gradient array apparatus for the study of porous polymer networks.

2010 ◽  
Author(s):  
Partha Majumdar ◽  
Elizabeth Lee ◽  
Bret J. Chisholm ◽  
Shawn M. Dirk ◽  
Michael Weisz ◽  
...  
Keyword(s):  
High Throughput ◽  
Polymer Networks ◽  
Porous Polymer

Screening study for selecting new activators for activating MDEA for natural gas sweetening

2018 ◽  
Vol 199 ◽  
pp. 320-330 ◽  
Author(s):  
Laila Jaafari ◽  
Bander Jaffary ◽  
Raphael Idem
Keyword(s):  
Natural Gas ◽  
Gas Sweetening ◽  
Screening Study ◽  
Natural Gas Sweetening

scholarly journals Process Simulation and Cost Evaluation of Carbon Membranes for CO2 Removal from High-Pressure Natural Gas

Membranes ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 118 ◽  
Author(s):  
Yunhan Chu ◽  
Xuezhong He
Keyword(s):  
Natural Gas ◽  
Cost Evaluation ◽  
Co2 Removal ◽  
Carbon Membrane ◽  
Carbon Membranes ◽  
Feed Pressure ◽  
Gas Sweetening ◽  
Processing Cost ◽  
Future Work ◽  
Natural Gas Sweetening

Natural gas sweetening is required to remove the acid gas CO2 to meet gas grid specifications. Membrane technology has a great potential in this application compared to the state-of-the-art amine absorption technology. Carbon membranes are of particular interest due to their high CO2/CH4 selectivity of over 100. In order to document the advantages of carbon membranes for natural gas (NG) sweetening, HYSYS simulation and cost evaluation were conducted in this work. A two-stage carbon membrane process with recycling in the second stage was found to be technically feasible to achieve >98% CH4 with <2% CH4 loss. The specific natural gas processing cost of 1.122 × 10−2 $/m3 sweet NG was estimated at a feed pressure of 90 bar, which was significantly dependent on the capital-related cost. Future work on improving carbon membrane performance is required to increase the competitiveness of carbon membranes for natural gas sweetening.

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