Mathematical modeling of rapid temperature swing adsorption; the role of influencing parameters

2017 ◽  
Vol 183 ◽  
pp. 181-193 ◽  
Author(s):  
Seyedeh Fatemeh Hosseini ◽  
Mohammad Reza Talaie ◽  
Seyedfoad Aghamiri ◽  
Mohammad Hasan Khademi ◽  
Mohsen Gholami ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Temperature Swing ◽  
Rapid Temperature ◽  
Influencing Parameters ◽  
Temperature Swing Adsorption

scholarly journals A new honeycomb carbon monolith for CO2 capture by rapid temperature swing adsorption using steam regeneration

2020 ◽  
Vol 383 ◽  
pp. 123075 ◽  
Author(s):  
Brieuc Verougstraete ◽  
Ana Martín-Calvo ◽  
Stijn Van der Perre ◽  
Gino Baron ◽  
Vincent Finsy ◽  
...  
Keyword(s):  
Co2 Capture ◽  
Carbon Monolith ◽  
Temperature Swing ◽  
Rapid Temperature ◽  
Temperature Swing Adsorption

scholarly journals Rapid Temperature Swing Adsorption using Polymeric/Supported Amine Hollow Fibers

2015 ◽  
Author(s):  
Ronald Chance ◽  
Grace Chen ◽  
Ying Dai ◽  
Yanfang Fan ◽  
Christopher Jones ◽  
...  
Keyword(s):  
Hollow Fibers ◽  
Temperature Swing ◽  
Rapid Temperature ◽  
Temperature Swing Adsorption

scholarly journals A Novel Rapid Temperature Swing Adsorption Post-combustion CO2 Capture Process Using a Sorbent Polymer Composite

2017 ◽  
Vol 114 ◽  
pp. 2193-2202 ◽  
Author(s):  
Adam H. Berger ◽  
Jason A. Horowitz ◽  
Tom Machalek ◽  
Andrew Wang ◽  
Abhoyjit S. Bhown
Keyword(s):  
Polymer Composite ◽  
Co2 Capture ◽  
Capture Process ◽  
Temperature Swing ◽  
Rapid Temperature ◽  
Temperature Swing Adsorption

Modeling of rapid temperature swing adsorption using hollow fiber sorbents

2014 ◽  
Vol 113 ◽  
pp. 62-76 ◽  
Author(s):  
Fateme Rezaei ◽  
Swernath Subramanian ◽  
Jayashree Kalyanaraman ◽  
Ryan P. Lively ◽  
Yoshiaki Kawajiri ◽  
...  
Keyword(s):  
Hollow Fiber ◽  
Temperature Swing ◽  
Rapid Temperature ◽  
Fiber Sorbents ◽  
Temperature Swing Adsorption

Technique of scientific and technical forecasting using neural networks

2018 ◽  
pp. 103-110
Author(s):  
V. V. Nefedev
Keyword(s):  
Mathematical Modeling ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Original Method ◽  
Forecasting Methods ◽  
Expert Assessments ◽  
Artificial Neural

For the definition and implementation of breakthrough technologies the most important is the role of scientific and technical forecasting. Well-known forecasting methods based on extrapolation, expert assessments and mathematical modeling are not universal and have a number of significant disadvantages. The article proposes an original method of scientific and technical forecasting based on the use of the methodology of artificial neural networks. 

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