2022
DOI: 10.1016/j.jcou.2022.101996
|View full text |Cite
|
Sign up to set email alerts
|

Numerical analysis of the micropore structure of activated carbons focusing on optimum CO2 adsorption

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 41 publications
0
2
0
Order By: Relevance
“…Due to the increasing demands placed on adsorbents, technologies for their manufacture are being improved, which, however, requires a precise assessment of the porous structure taking into account surface heterogeneities, which is not fully provided by the BET, t—plot, and BJH methods used in previous studies 17 . Therefore, a concept was developed to analyse the adsorption process and porous structure of spherical activated carbons using advanced analysis methods taking into account, among other things, surface heterogeneity and pore geometry, i.e., the numerical clustering-based adsorption analysis method (LBET) 22 24 and the quenched solid density functional theory method (QSDFT) 26 , 26 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Due to the increasing demands placed on adsorbents, technologies for their manufacture are being improved, which, however, requires a precise assessment of the porous structure taking into account surface heterogeneities, which is not fully provided by the BET, t—plot, and BJH methods used in previous studies 17 . Therefore, a concept was developed to analyse the adsorption process and porous structure of spherical activated carbons using advanced analysis methods taking into account, among other things, surface heterogeneity and pore geometry, i.e., the numerical clustering-based adsorption analysis method (LBET) 22 24 and the quenched solid density functional theory method (QSDFT) 26 , 26 .…”
Section: Methodsmentioning
confidence: 99%
“…The LBET method, the theoretical foundations for the LBET models and their derivation, and the numerical fast multivariate procedure of adsorption system identification, were described in detail in earlier publications 22 24 . The LBET models have five adjusted parameters: V hA [cm 3 /g], Q A [J/mol] , α , β and B C, which can be adjusted by fitting LBET equation to the adsorption isotherm, with a chosen variant of the surface energy distribution function [38–40].…”
Section: Methodsmentioning
confidence: 99%
“…Consequently, various attempts have been made to develop reliable methods to define the process taking place during adsorption. One such method is a unique proprietary method for the analysis of cluster-based multilayer adsorption processes on heterogeneous surfaces (LBET), together with an advanced fast numerical method for multi-variant identification of adsorption systems [32][33][34].…”
Section: Methodsmentioning
confidence: 99%
“…The LBET method is based on a group of 30 or, in an extended version, 48 models and a unique universal adsorption theory developed by the team, which is a significant extension of the BET model. In addition, adsorption in ultramicropores is described by the equation of Langmuir, thence the abbreviation LBET is used for the newly proposed group of mathematical models of the adsorption process [32][33][34]. In contrast to the BET model, the LBET model was developed to consider the heterogeneity of the surface and the possibility of separating groups of adsorbate molecules, as well as geometrical and energetic constraints on the formation of groups of molecules from the adsorbate [32][33][34].…”
Section: Methodsmentioning
confidence: 99%
“…The most relevant adsorbents used in carbon sequestration technologies have proven to be activated carbons derived from biomass [13][14][15][16][17][18][19][20][21][22][23][24]. This is due to the widespread availability of raw materials for their production and their renewability, significant strength, high adsorption capacity, stability, and ease of regeneration [13][14][15][16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%