Molecular Simulation Techniques as Applied to Silica and Carbon-Based Adsorbents for Carbon Capture

被引:2
作者
Wadi, Basil [1 ,2 ]
Golmakani, Ayub [2 ]
Borhani, Tohid N. [3 ]
Manovic, Vasilije [2 ]
Nabavi, Seyed Ali [2 ]
机构
[1] Univ Ottawa, Chem Engn Dept, Ottawa, ON K1N 6N5, Canada
[2] Cranfield Univ, Ctr Climate & Environm Protect, Bedford MK43 0AL, England
[3] Univ Wolverhampton, Fac Sci & Engn, Wolverhampton WV1 1LY, England
关键词
low-carbon technologies; carbon capture; molecular simulation; FUNCTIONALIZED MESOPOROUS SILICAS; BINARY-MIXTURE ADSORPTION; METAL-ORGANIC FRAMEWORK; MONTE-CARLO-SIMULATION; CO2; ADSORPTION; PORE-SIZE; FORCE-FIELD; ACTIVATED CARBON; COMPUTER-SIMULATION; ATOMISTIC MODELS;
D O I
10.3390/en16135013
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
There has been ongoing interest in research to mitigate climate change through carbon capture (CC) by adsorption. This guideline is meant to introduce computational chemistry techniques in CC by applying them to mesoporous structures and disordered morphologies. The molecular simulation techniques presented here use examples of literature studies on silica and carbon-based adsorbents. An initial summary of molecular simulation techniques and concepts is first presented. This is followed by a section on molecular simulation applications in mesoporous amorphous silica, both functionalized and not. Novel strategies to validate and output useful results are discussed, specifically when modelling chemisorption. The use of computational chemistry to build upon experimental results is reviewed, and a similar summation is presented for carbon-based adsorbents. The final section provides a short review of computational chemistry methods in novel applications and highlights potential complications. Computational chemistry techniques provide a streamlined method of gathering data across a range of conditions. Alongside experimental studies, these techniques can provide valuable information on underlying molecular mechanisms. This paper aims to be a starting point for navigating these numerical methods by providing an initial understanding of how these techniques can be applied to carbon capture while clarifying the current and inherent limitations present.
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页数:32
相关论文
共 147 条
[41]   Atomistic simulations of CO2 and N2 adsorption in silica zeolites:: The impact of pore size and shape [J].
Goj, A ;
Sholl, DS ;
Akten, ED ;
Kohen, D .
JOURNAL OF PHYSICAL CHEMISTRY B, 2002, 106 (33) :8367-8375
[42]  
Gomaa I., 2022, SPE ANN TECHN C EXH, DOI [10.2118/210264-MS, DOI 10.2118/210264-MS]
[43]   Simulation of Binary CO2/CH4 Mixture Breakthrough Profiles in MIL-53 (Al) [J].
Gomez, Luis Fernando ;
Zacharia, Renju ;
Benard, Pierre ;
Chahine, Richard .
JOURNAL OF NANOMATERIALS, 2015, 2015
[44]   Sustainable biomass-based carbon adsorbents for post-combustion CO2 capture [J].
Gonzalez, A. S. ;
Plaza, M. G. ;
Rubiera, F. ;
Pevida, C. .
CHEMICAL ENGINEERING JOURNAL, 2013, 230 :456-465
[45]   Force fields and molecular dynamics simulations [J].
Gonzalez, M. A. .
NEUTRONS ET SIMULATIONS, JDN 18, 2010, :169-200
[46]   GLOBAL SURFACE TEMPERATURE CHANGE [J].
Hansen, J. ;
Ruedy, R. ;
Sato, M. ;
Lo, K. .
REVIEWS OF GEOPHYSICS, 2010, 48
[47]   Avogadro: an advanced semantic chemical editor, visualization, and analysis platform [J].
Hanwell, Marcus D. ;
Curtis, Donald E. ;
Lonie, David C. ;
Vandermeersch, Tim ;
Zurek, Eva ;
Hutchison, Geoffrey R. .
JOURNAL OF CHEMINFORMATICS, 2012, 4
[48]   CARBON DIOXIDES LIQUID-VAPOR COEXISTENCE CURVE AND CRITICAL PROPERTIES AS PREDICTED BY A SIMPLE MOLECULAR-MODEL [J].
HARRIS, JG ;
YUNG, KH .
JOURNAL OF PHYSICAL CHEMISTRY, 1995, 99 (31) :12021-12024
[49]   Prediction of Adsorption and Diffusion Behaviors of CO2 and CH4 in All-Silica Zeolites Using Molecular Simulation [J].
Hasegawa, Yasuhisa ;
Abe, Chie .
MEMBRANES, 2021, 11 (06)
[50]   Experimental and computer simulation studies of the adsorption of ethane, carbon dioxide, and their binary mixtures in MCM-41 [J].
He, YF ;
Seaton, NA .
LANGMUIR, 2003, 19 (24) :10132-10138