@inbook{c53219128b3f4dacb736f1727c7084d8,
title = "Multi-technology separation network synthesis",
abstract = "Considering multiple technologies when synthesizing separation networks can lead to a more efficient separation. We present a superstructure-based approach to synthesize separation networks while considering multiple technologies. The approach uses key separation properties to generate potential separation sequences for each technology and employs richly connected superstructure to represent numerous potential configurations. Using a generalized problem statement, the proposed model can handle variable inlet and outlet streams thereby allowing the coupling with reactor network synthesis models.",
keywords = "global optimization, process synthesis, separation, superstructure",
author = "Taifan, {Garry S.P.} and Maravelias, {Christos T.}",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
month = jan,
doi = "10.1016/B978-0-443-15274-0.50071-8",
language = "English (US)",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "445--450",
booktitle = "Computer Aided Chemical Engineering",
}