Generalized optimization-based synthesis of membrane systems for multicomponent gas mixture separation

Taifan, Garry S.P.; Maravelias, Christos T.

doi:10.1016/j.ces.2022.117482

Title: Generalized optimization-based synthesis of membrane systems for multicomponent gas mixture separation

Journal Article · 07 February 2022 · Chemical Engineering Science

DOI: https://doi.org/10.1016/j.ces.2022.117482 · OSTI ID:1976948

Taifan, Garry S.P. ^[1]; Maravelias, Christos T. ^[1]

Princeton University, NJ (United States); Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)

Synthesizing a membrane system to separate multicomponent gas mixture is challenging due to the combinatorial number of feasible configurations and the difficulties in describing the multicomponent permeators. Here we present a mixed-integer nonlinear programming (MINLP) model for synthesizing membrane systems for multicomponent gas mixture separation. The approach employs a richly connected superstructure to represent numerous potential system configurations, and different physics-based surrogate permeator models, such as countercurrent flow or crossflow, to be used in each stage. Moreover, to describe realistic systems, pressure drop equations can be included. We also present solution methods to accelerate the solution process. Through a case study of natural gas sweetening, we demonstrate that the proposed approach is able to obtain good solutions using an off-the-shelf global optimization solver. Finally, we expand the conventional membrane system synthesis problem by introducing feed variability in our model through a case study of an integrated reactor-separation system.

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Research Organization:: Princeton University, NJ (United States); University of Wisconsin, Madison, WI (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0018409

OSTI ID:: 1976948

Journal Information:: Chemical Engineering Science, Journal Name: Chemical Engineering Science Journal Issue: C Vol. 252; ISSN 0009-2509

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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