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Title: | SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes | Authors: | Wu , Min Di Caprio , Ulderico Elmaz, Furkan Vermeire, Florence Metten, Bert Van Der Ha, Olivier De Clercq , Dries Mercelis, Siegfried Hellinckx, Peter BRAEKEN, Leen Leblebici , M. Enis |
Issue Date: | 2023 | Publisher: | PERGAMON-ELSEVIER SCIENCE LTD | Source: | COMPUTERS & CHEMICAL ENGINEERING, 179 (Art N° 108431) | Abstract: | Processes with unknown reactions and limited data are commonplace in the chemical industry. However, modeling and optimizing these processes are challenging tasks. In this paper, we propose the Swarm Intelligencebased Modeling and Optimization (SI-M/O) algorithm to address these challenges. The SI-M/O algorithm integrates swarm intelligence with chemical process fundamentals. This fusion empowers SI-M/O to navigate complex chemical landscapes effectively. Swarm intelligence excels at exploring vast solution spaces and adapting dynamically. When combined with first-principle knowledge of chemical reactions and thermodynamics, SI-M/O not only finds optimal solutions but also considers chemical feasibility and physical constraints. To validate its effectiveness, we applied SI-M/O to optimize a production plant, achieving a substantial 5.3 % productivity increase during preliminary testing. We also designed a user-friendly graphical interface for SI-M/O, enhancing accessibility for researchers and practitioners. | Notes: | Leblebici, ME (corresponding author), Katholieke Univ Leuven, Ctr Ind Proc Technol, Dept Chem Engn, Agoralaan Bldg B, B-3590 Diepenbeek, Belgium. muminenis.leblebici@kuleuven.be |
Keywords: | Swarm intelligence;Hybrid modeling;Process optimization;Continuous flow reactor;Graphical user interface | Document URI: | http://hdl.handle.net/1942/41746 | ISSN: | 0098-1354 | e-ISSN: | 1873-4375 | DOI: | 10.1016/j.compchemeng.2023.108431 | ISI #: | 001081762900001 | Rights: | 2023 Elsevier Ltd. All rights reserved. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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SI-M_O_ Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes.pdf Restricted Access | Published version | 4.64 MB | Adobe PDF | View/Open Request a copy |
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