Optimal Membrane-Process Design (OMPD): A software product for optimal design of membrane gas separation processes

•Software for optimal design of membrane gas-separation processes is presented.•It generates several potential process design configurations.•It finds optimal design specifications and operating conditions.•It can handle any type or number of objective functions.•It optimizes membrane units arranged...

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Bibliographic Details
Published inComputers & chemical engineering Vol. 135; p. 106724
Main Authors Mohammadi, Yousef, Matsuura, Takeshi, Jansen, Johannes C., Esposito, Elisa, Fuoco, Alessio, Dumée, Ludovic F., Gallucci, Fausto, Drioli, Enrico, Soroush, Masoud
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 06.04.2020
Subjects
Membrane gas separation
Multi-objective optimization
Process design
Software product
Process design
Software product
Membrane gas separation
Multi-objective optimization
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Summary:•Software for optimal design of membrane gas-separation processes is presented.•It generates several potential process design configurations.•It finds optimal design specifications and operating conditions.•It can handle any type or number of objective functions.•It optimizes membrane units arranged in multi-step and/or multi-stage configurations. The optimal design of a membrane gas separation process requires minimizing several objective functions subject to nonlinear relationships among the optimizing variables. This article describes a novel software product, named Optimal Membrane-Process Design (OMPD), for the optimal design of membrane gas separation processes. The product generates several potential process design configurations and then searches the process design parameters and operating conditions spaces to arrive at optimal design specifications and operating conditions. It is able to consider every type and any number of operational, compositional, and economical objective functions in a computationally cost-effective manner. It calculates all Pareto optimal solutions in a single trial. It can optimize any number of membrane units arranged in multi-step and/or multi-stage configurations. It optimally places pairs of adjacent membrane units, either two-step or two-stage, while simultaneously considering several membrane types. [Display omitted]
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.106724