New model for S-shaped isotherm data and its application to process modeling using IAST

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 76
  • Download : 0
Recently S-shaped (sigmoidal-shaped) adsorption isotherms have attracted much attention as having potential for reduced energy use in pressure or temperature swing based separations. Despite a wide variety of such isotherm data reported in the literature, convenient mathematical representations of S-shaped isotherms are not yet available. The absence of such models relating pressure and uptake values hinders the evaluation of many potentially promising adsorbents in separation and storage. Herein, a new mathematical model is proposed that parameterizes S-shaped isotherm data. The model provides a basis for deriving analytical expressions for the spreading pressures, to achieve a dramatic computational cost reduction in the ideal adsorption solution theory (IAST) calculation for multi-component isotherms. Then, the proposed model is generalized for its broader application. To consider the temperature effect based on isotherm data distributed at varying temperatures, a method is suggested to use such distributed data in fitting a single isotherm model. Each of the models and methods is illustrated with their application examples to facilitate the understanding and clarifying the advantages of the proposed model. Among them, a practical example with simulations of breakthrough experiments is provided. © 2020 Elsevier B.V.
Publisher
ELSEVIER SCIENCE SA
Issue Date
2021-09
Language
English
Article Type
Article
Citation

CHEMICAL ENGINEERING JOURNAL, v.420, no.2, pp.127580

ISSN
1385-8947
DOI
10.1016/j.cej.2020.127580
URI
http://hdl.handle.net/10203/286436
Appears in Collection
CBE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0