LAPSE:2023.36023
Published Article
LAPSE:2023.36023
Application of Multi-Software Engineering: A Review and a Kinetic Parameter Identification Case Study
June 7, 2023
Limitations regarding process design, optimization, and control often occur when using particular process simulators. With the implementation of connection methodologies, integrated tools could be made by coupling popular process simulation software with each other or with programming environments. In the current paper, we summarized and categorized the existing research regarding the application of multi-software engineering in the chemical industry, with an emphasis on software connections. CAPE-OPEN, COM, OPC, and native integration were discussed in detail, with the intention to serve as a guide for choosing the most suitable software combination and connection. These hybrid systems can handle complex user-defined problems and can be used for decision support, performing custom unit operations, operator training, process optimization, building control systems, and developing digital twins. In this work, we proposed the use of process simulator Aspen HYSYS linked together with the numeric computing platform MATLAB to solve a reaction kinetic parameter identification problem regarding the production of γ-valerolactone.
Keywords
CAPE-OPEN, co-simulation, multi-software engineering, parameter identification, process system engineering, software linking
Suggested Citation
Csendes VF, Egedy A, Leveneur S, Kummer A. Application of Multi-Software Engineering: A Review and a Kinetic Parameter Identification Case Study. (2023). LAPSE:2023.36023
Author Affiliations
Csendes VF: Department of Process Engineering, University of Pannonia, Egyetem st. 10, H-8200 Veszprém, Hungary; INSA Rouen, UNIROUEN, Normandie University, LSPC, UR4704, 76000 Rouen, France [ORCID]
Egedy A: Department of Process Engineering, University of Pannonia, Egyetem st. 10, H-8200 Veszprém, Hungary [ORCID]
Leveneur S: INSA Rouen, UNIROUEN, Normandie University, LSPC, UR4704, 76000 Rouen, France [ORCID]
Kummer A: Department of Process Engineering, University of Pannonia, Egyetem st. 10, H-8200 Veszprém, Hungary; ELKH-PE Complex Systems Monitoring Research Group, University of Pannonia, Egyetem st. 10, H-8200 Veszprém, Hungary [ORCID]
Journal Name
Processes
Volume
11
Issue
5
First Page
1503
Year
2023
Publication Date
2023-05-15
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11051503, Publication Type: Journal Article
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LAPSE:2023.36023
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doi:10.3390/pr11051503
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Jun 7, 2023
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CC BY 4.0
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Jun 7, 2023
 
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https://psecommunity.org/LAPSE:2023.36023
 
Original Submitter
Calvin Tsay
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