Grand Canonical Monte Carlo Modeling of Anesthetic Xe Separation from Exhale Gas Mixtures Using Metal Organic Frameworks
[ X ]
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Xe has been shown to be a promising candidate for anesthetic applications. However, its high price preventsits usage in clinical industry. An alternative approach is to recover Xe from anesthetic exhale gas mixture andrecycle it to the inhale gas stream. Although, many membranes and/or adsorbents have been proposed forrecovering anesthetic Xe, using metal organic frameworks (MOFs) for adsorption based separation ofanesthetic Xe exhale gas mixtures has been newly studied. MOFs have tunable pore sizes, large surface areas,and high porosities which make them potential candidates for gas separation applications. Currently, very littleis known about anesthetic Xe recovery performances of MOFs. We theoretically investigate adsorption basedseparation of single component and binary mixtures of CO2, Xe, and N2 in three MOFs, namely CECYOY,SUDBOI, and ZUQPOQ. Single component and binary adsorption isotherms and adsorption selectivities arecalculated using Grand Canonical Monte Carlo simulations for each MOF in order to characterize theirperformances as adsorbents. Results suggest that while MOFs prefer adsorption of CO2 for CO2/Xe mixture,Xe adsorption is favorable in the case of Xe/N2 mixture. While SUDBOI shows significantly large CO2adsorption selectivity for CO2/Xe mixture, ZUQPOQ has the largest adsorption selectivity for Xe/N2 mixture.
Açıklama
Anahtar Kelimeler
Nanobilim ve Nanoteknoloji, Fizik, Atomik ve Moleküler Kimya, Mühendislik, Kimya, Kimya, İnorganik ve Nükleer
Kaynak
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
3
