A Data-Driven Approach to Molten Salt Synthesis of N-Rich Carbon Adsorbents for Selective CO2 Capture

被引:10
作者
Burrow, James N. [1 ]
Eichler, John E. [2 ]
Martinez, Wuilian A. [2 ]
Mullins, C. Buddie [1 ,2 ,3 ]
机构
[1] Univ Texas Austin, John J McKetta Dept Chem Engn, Austin, TX 78712 USA
[2] Univ Texas Austin, Dept Chem, Austin, TX 78712 USA
[3] Univ Texas Austin, Texas Mat Inst, Austin, TX 78712 USA
关键词
adsorbent; carbon capture; molten salt synthesis; nanoporous carbon; N-rich carbon; selective CO2 adsorption; turbostratic carbon; X-RAY-DIFFRACTION; GRAPHENE NANOPLATELETS; ENERGY-STORAGE; ACTIVATION; ADSORPTION; STRATEGIES; CHEMISTRY; GRAPHITE; NITROGEN; DIOXIDE;
D O I
10.1002/adma.202306275
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Applying a design of experiments methodology to the molten salt synthesis of nanoporous carbons enables inverse design and optimization of nitrogen (N)-rich carbon adsorbents with excellent CO2/N-2 selectivity and appreciable CO2 capacity for carbon capture via swing adsorption from dilute gas mixtures such as natural gas combined cycle flue gas. This data-driven study reveals fundamental structure-function relationships between the synthesis conditions, physicochemical properties, and achievable selective adsorption performance of N-rich nanoporous carbons derived from molten salt synthesis for CO2 capture. Taking advantage of size-sieving separation of CO2 (3.30 & Aring;) from N-2 (3.64 & Aring;) within the turbostratic nanostructure of these N-rich carbons, while limiting deleterious N-2 adsorption in a weaker adsorption site that harms selectivity, enables a large CO2 capacity (0.73 mmol g(-1) at 30.4 Torr and 30 degrees C) with noteworthy concurrent CO2/N-2 selectivity as predicted by the ideal adsorbed solution theory (S-IAST = 246) with an adsorbed phase purity of 91% from a simulated gas stream containing only 4% CO2. Optimized N-rich porous carbons, with good physicochemical stability, low cost, and moderate regeneration energy, can achieve performance for selective CO2 adsorption that competes with other classes of advanced porous materials such as chemisorbing zeolites and functionalized metal-organic frameworks.
引用
收藏
页数:18
相关论文
共 47 条
[1]   Engaging nanoporous carbons in "beyond adsorption" applications: Characterization, challenges and performance [J].
Ania, Conchi O. ;
Armstrong, Phillip A. ;
Bandosz, Teresa J. ;
Beguin, Francois ;
Carvalho, Ana P. ;
Celzard, Alain ;
Frackowiak, Elzbieta ;
Gilarranz, Miguel A. ;
Laszlo, Krisztina ;
Matos, Juan ;
Pereira, M. Fernando R. .
CARBON, 2020, 164 :69-84
[2]   Nanostructured Carbon Electrocatalysts for Energy Conversions [J].
Asefa, Tewodros ;
Tang, Chaoyun ;
Ramirez-Hernandez, Maricely .
SMALL, 2021, 17 (48)
[3]   Design of Experiments for Optimization of Polyoxometalate Syntheses [J].
Bell, Nicola L. ;
Kupper, Manuel ;
Cronin, Leroy .
CHEMISTRY OF MATERIALS, 2021, 33 (18) :7263-7271
[4]   Response surface methodology (RSM) as a tool for optimization in analytical chemistry [J].
Bezerra, Marcos Almeida ;
Santelli, Ricardo Erthal ;
Oliveira, Eliane Padua ;
Villar, Leonardo Silveira ;
Escaleira, Luciane Amlia .
TALANTA, 2008, 76 (05) :965-977
[5]   Navigating the design space of inorganic materials synthesis using statistical methods and machine learning [J].
Braham, Erick J. ;
Davidson, Rachel D. ;
Al-Hashimi, Mohammed ;
Arroyave, Raymundo ;
Banerjee, Sarbajit .
DALTON TRANSACTIONS, 2020, 49 (33) :11480-11488
[6]   N-rich porous carbons with tunable affinity for CO2 adsorption achieve size-sieving CO2/N2 selectivity in turbostratic interlayers [J].
Burrow, James N. ;
Eichler, J. Ehren ;
Wang, Yu ;
Calabro, David C. ;
Mullins, C. Buddie .
JOURNAL OF MATERIALS CHEMISTRY A, 2022, 10 (46) :24649-24661
[7]   CaCl2-Activated Carbon Nitride: Hierarchically Nanoporous Carbons with Ultrahigh Nitrogen Content for Selective CO2 Adsorption [J].
Burrow, James N. ;
Pender, Joshua P. ;
Guerrera, Joseph, V ;
Wygant, Bryan R. ;
Eichler, J. Ehren ;
Calabro, David C. ;
Mullins, C. Buddie .
ACS APPLIED NANO MATERIALS, 2020, 3 (06) :5965-5977
[8]   The Entropies of Adsorbed Molecules [J].
Campbell, Charles T. ;
Sellers, Jason R. V. .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2012, 134 (43) :18109-18115
[9]   How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics [J].
Cao, Bing ;
Adutwum, Lawrence A. ;
Oliynyk, Anton O. ;
Luber, Erik J. ;
Olsen, Brian C. ;
Mar, Arthur ;
Buriak, Jillian M. .
ACS NANO, 2018, 12 (08) :7434-7444
[10]   Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning [J].
Chen, Yu-Ting ;
Duquesnoy, Marc ;
Tan, Darren H. S. ;
Doux, Jean-Marie ;
Yang, Hedi ;
Deysher, Grayson ;
Ridley, Phillip ;
Franco, Alejandro A. ;
Meng, Ying Shirley ;
Chen, Zheng .
ACS ENERGY LETTERS, 2021, 6 (04) :1639-1648