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Chemical Product and Process Modeling

Ed. by Sotudeh-Gharebagh, Rhamat / Mostoufi, Navid / Chaouki, Jamal


CiteScore 2017: 0.96

SCImago Journal Rank (SJR) 2017: 0.295
Source Normalized Impact per Paper (SNIP) 2017: 0.347

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1934-2659
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A Multi-Level Methodology for Conceptual Reaction-Separation Process Design

Patrick Linke / Antonis C. Kokossis
Published Online: 2007-05-17 | DOI: https://doi.org/10.2202/1934-2659.1012

Generic technology is presented for the optimal screening of reaction and separation process interactions. The proposed scheme enables the use of particularly rich superstructure formulations that are comprised of two types of generic synthesis units with flexible representation modes. A reaction unit enables a detailed representation of the reaction and a conceptual representation of separation systems is facilitated through separation task units. Possible process design interactions are embedded in the superstructure formulations as combinations of generic units. The design options are explored using stochastic optimisation techniques suitable for this class of problems. The synthesis scheme supports the decision making process in early process design stages and prepares problem definitions for later stages. Conceptual screening functionalities reveal design insights into the performance of complex reaction-separation systems based on the limited modelling information available early in design. This enables the identification and inclusion of the relevant design information into the superstructure formulations employed in the subsequent design stages.

Keywords: optimisation; systems engineering; reaction; separation; conceptual design; process synthesis

About the article

Published Online: 2007-05-17


Citation Information: Chemical Product and Process Modeling, Volume 2, Issue 3, ISSN (Online) 1934-2659, DOI: https://doi.org/10.2202/1934-2659.1012.

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Hanns Kuhlmann, Heiner Veith, Marcel Möller, Kieu-Phi Nguyen, Andrzej Górak, and Mirko Skiborowski
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[2]
Patrick Linke and Antonis C. Kokossis
Chemical Product and Process Modeling, 2007, Volume 2, Number 3

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