Szczegóły publikacji

Opis bibliograficzny

Fast, approximate method for carbon pore structure evaluation based on $SF_{6}$ adsorption : comparison with standard $N_{2}$ analysis using NLDFT / Jakub SZCZUROWSKI, Mieczysław BAŁYS, Ewelina BRODAWKA-ROŻDŻYŃSKA, Jacek JAGIELLO, Katarzyna Zarębska // Chemical Engineering Research and Design ; ISSN 0263-8762. — 2025 — vol. 220, s. 350–362. — Bibliogr. s. 361–362, Abstr. — Publikacja dostępna online od: 2025-07-10

Autorzy (5)

Słowa kluczowe

2D-NLDFT pore size kernelisosteric heat of adsorptionsulphur hexafluoride adsorptionporous carbon characterization

Dane bibliometryczne

ID BaDAP161467
Data dodania do BaDAP2025-08-01
Tekst źródłowyURL
DOI10.1016/j.cherd.2025.07.016
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaChemical Engineering Research & Design

Abstract

One method of reducing sulphur hexafluoride emissions is its recovery from industrial gas mixtures with nitrogen using adsorption. In this article, we determine the performance of commercial carbonaceous adsorbents for SF6 capture by calculating SF6 adsorption capacity, SF6/N2 selectivity (using IAST theory) and isosteric heat of adsorption of SF6 (using the thermal adsorption equation in a virial form). Additionally, we propose using SF6 adsorption data at 273 K and below 1 atm as a fast, approximate complement to the standard N2 pore structure analysis of porous carbons. Since the SF6 molecule has a larger diameter than commonly used gases like N2, Ar or CO2, its use may offer supplementary insights into a broader range of pore size distribution (PSD). To demonstrate this, we develop a kernel of theoretical SF6 adsorption isotherms at 273 K employing two-dimensional nonlocal density functional theory (2D-NLDFT). We compare the PSDs of SF6 with those of N2, obtained from adsorption data at 77 K and the pore volume for the pore size range accessible to both gases. The results show that the agreement between the PSDs obtained from SF6 and N2 adsorption data largely depends on the porous texture of the samples and the measurement conditions.

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