Corrected Horváth‐Kawazoe equations for pore‐size distribution

Rege, Salil U.; Yang, Ralph T.

doi:10.1002/aic.690460408

Cited by 127 publications

(71 citation statements)

References 29 publications

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“…To discuss the sources of uncertainty in classical PSD determination methods, we focus on the corrected BJH method proposed by Dollimore and Heal [5,6] for mesopore size distribution analysis and on the corrected HK method proposed by Rege and Yang (R-Y method) [12] for micropore size distribution analysis. Evaluation of the uncertainty in adsorption isotherm data was clearly demonstrated by Badalyan and Pendleton [28].…”

Section: Resultsmentioning

confidence: 99%

“…Ideally, the sample and the liquid nitrogen bath would be surrounded by an isobaric chamber. Figure 3 shows the calculated cumulative volume and PSD for the microporous FM1/250 using the R-Y method [12]. The CSU in cumulative volume, PSD, and pore size are included.…”

Section: 1mesopore Analysismentioning

confidence: 99%

“…Rege and Yang (R-Y) addressed the incorrect estimation of adsorbateadsorbate interactions energy in the original HK model which had caused the model to underpredict the PSD for micropore widths exceeding two adsorbate molecular diameters. Their improvements considered molecular-packing effects in micropores and presented a corrected form of the HK model for all three pore geometries: slit, cylinder, and sphere [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Madani

Badalyan

Biggs

et al. 2015

Microporous and Mesoporous Materials

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Procedures for propagation of uncertainty in pore size distribution calculation based on classical methods for both micro and mesoporous materials are described. Uncertainty in experimental adsorption isotherm data and uncertainty in temperature are introduced as the main sources for uncertainty in height and position of peaks of PSD determined via classical mesopore size distribution determination method. Uncertainty in PSD derived from classical micropore size distribution methods mainly arises from uncertainty in experimental isotherm data. Calculation step size is shown to have some effects on magnitude of uncertainty in micropore calculation. Micropore size distribution calculations are also highly sensitive to the adsorptive molecular diameter.

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Section: Resultsmentioning

confidence: 99%

Section: 1mesopore Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Madani

Badalyan

Biggs

et al. 2015

Microporous and Mesoporous Materials

View full text Add to dashboard Cite

show abstract

“…The method of Horvath and Kawazoe (1983) may be listed among early means for characterizing microporous solids. This was later modified by a number of authors (Cheng and Yang 1994;Rege and Yang 2000;Dombrowski et al 2001;Ustinov and Do 2002). Details of these methods can be found in the references listed as well as in review papers by .…”

Section: Classical Methods For Adsorption In Porous Mediamentioning

confidence: 99%

Pore Characterization of Carbonaceous Materials by DFT and GCMC Simulations: A Review

2003

Adsorption Science & Technology

154

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ABSTRACT:A review is given of the pore characterization of carbonaceous materials, including activated carbon, carbon fibres, carbon nanotubes, etc., using adsorption techniques. Since the pores of carbon media are mostly of molecular dimensions, the appropriate modern tools for the analysis of adsorption isotherms are grand canonical Monte Carlo (GCMC) simulations and density functional theory (DFT). These techniques are presented and applications of such tools in the derivation of pore-size distribution highlighted.

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“…The pore size distributions of adsorbents were calculated with the corrected Horvath and Kowazoe model for the slit shaped pore based on Matlab (The Mathworks, Inc.) codes to increase the accuracies of the characterizations [50]. CO 2 adsorption data on activated carbon Yigao-A and carbon molecular sieve CMS-200 at 273.15 K are represented in Figure 1.…”

Section: Characterizations Of Adsorbentsmentioning

confidence: 99%

Supercritical Adsorption Based CO2 Capture from N2/CO2 Mixture by Activated Carbon and Carbon Molecular Sieve

Nuermaiti¹,

Li²

2017

AJCHE

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Abstract:The adsorption equilibria of pure supercritical N 2 and CO 2 on the activated carbon Yigao-A and carbon molecular sieve CMS-200 were measured by the gravimetric method (IGA-001, Hiden) in the temperature region of 313.15-393.15 K and pressure region of 0-2 MPa. The adsorption kinetics of N 2 and of CO 2 on the activated carbon Yigao-A and carbon molecular sieve CMS-200 at 313.15 K in 50 kPa were tested. The Langmuir-Freundlich model was applied to analyze the adsorption isotherms. The adsorption kinetics was investigated with the Fickian model. The analysis of adsorption equilibria showed that a high temperature, low pressure is beneficial to the equilibria based selective adsorption of supercritical CO 2 on the activated carbon Yigao-A and carbon molecular sieve CMS-200. The investigation of adsorption kinetics exposed that the carbon molecular sieve CMS-200 is able to separate CO 2 from the N 2 /CO 2 mixture by its kinetic effect, and lower temperature is preferred.

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Corrected Horváth‐Kawazoe equations for pore‐size distribution

Cited by 127 publications

References 29 publications

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Pore Characterization of Carbonaceous Materials by DFT and GCMC Simulations: A Review

Supercritical Adsorption Based CO<sub>2</sub> Capture from N<sub>2</sub>/CO<sub>2</sub> Mixture by Activated Carbon and Carbon Molecular Sieve

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Corrected Horváth‐Kawazoe equations for pore‐size distribution

Cited by 127 publications

References 29 publications

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Uncertainty in pore size distribution derived from adsorption isotherms: I. Classical methods

Pore Characterization of Carbonaceous Materials by DFT and GCMC Simulations: A Review

Supercritical Adsorption Based CO&lt;sub&gt;2&lt;/sub&gt; Capture from N&lt;sub&gt;2&lt;/sub&gt;/CO&lt;sub&gt;2&lt;/sub&gt; Mixture by Activated Carbon and Carbon Molecular Sieve

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Supercritical Adsorption Based CO<sub>2</sub> Capture from N<sub>2</sub>/CO<sub>2</sub> Mixture by Activated Carbon and Carbon Molecular Sieve