Framework for predicting the fractionation of complex liquid feeds via polymer membranes

Mathias, Ronita; Weber, Dylan J.; Thompson, Kirstie A.; Marshall, Bennett D.; Finn, M. G.; Scott, Joseph K.; Lively, Ryan P.

doi:10.1016/j.memsci.2021.119767

Framework for predicting the fractionation of complex liquid feeds via polymer membranes

Journal Article · Sat Aug 28 00:00:00 EDT 2021 · Journal of Membrane Science

DOI:https://doi.org/10.1016/j.memsci.2021.119767· OSTI ID:1977436

^[1]; ^[2]; ^[2]; Marshall, Bennett D. ^[3]; ^[2]; ^[2]; ^[2]

Georgia Institute of Technology, Atlanta, GA (United States); OSTI
Georgia Institute of Technology, Atlanta, GA (United States)
ExxonMobil Research and Engineering Co., Annandale, NJ (United States)

The separation of complex liquid hydrocarbon mixtures was recently demonstrated using the glassy polymer SBAD-1, showing that small molecule fractionation is possible by such organic membrane materials. Here, in this work, we develop a framework that will enable workable predictions of permeate flux and composition in complex hydrocarbon liquids through intrinsically porous glassy polymers. The predictions are made by incorporating experimentally-derived unary sorption and diffusion parameters in a Maxwell-Stefan framework coupled with multicomponent sorption models and various distinct diffusion phenomena. Across the range of sorption and diffusion phenomena considered, both the conventional Flory-Huggins model and the proposed Langmuir + Flory-Huggins sorption model combined with a simple average guest diffusivity or a more complex free-volume theory-based transport resulted in the lowest prediction error for three chosen multicomponent separations. The proposed Maxwell-Stefan framework simply requires pure component transport parameters to allow a fast approximation of the separation of multicomponent liquid hydrocarbon feeds that can potentially be extended to more complex feeds such as crude oil fractions.

View Accepted Manuscript (DOE)

Research Organization:: American Institute of Chemical Engineers (AIChE), New York, NY (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0007888

OSTI ID:: 1977436

Alternate ID(s):: OSTI ID: 1819807

Journal Information:: Journal of Membrane Science, Journal Name: Journal of Membrane Science Vol. 640; ISSN 0376-7388

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Complex mixtures
Liquid hydrocarbons
Maxwell-Stefan
Organic solvent reverse osmosis
Polymer membrane

Framework for predicting the fractionation of complex liquid feeds via polymer membranes

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