Publication
Title
SI-M/O : Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes
Author
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.
Language
English
Source (journal)
Computers and chemical engineering. - Oxford
Publication
Oxford : 2023
ISSN
0098-1354
DOI
10.1016/J.COMPCHEMENG.2023.108431
Volume/pages
179 (2023) , p. 1-13
Article Reference
108431
ISI
001081762900001
Full text (Publisher's DOI)
Full text (open access)
The author-created version that incorporates referee comments and is the accepted for publication version Available from 21.03.2024
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
IMEC-Real-time data assisted process development and production for chemical applications (DAP2CHEM).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 30.10.2023
Last edited 20.12.2023
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