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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/FF464C15-451A-4AFD-A22A-20F3495AB76F | - |
| Identifier | https://doi.org/10.1109/ACCESS.2023.3322926 | - |
| Identifier | https://ieeexplore.ieee.org/document/10273984 | - |
| Language | en | - |
| Extent | 14 pages | en |
| Title | Model-based simulation framework for Digital Twins in the process industry | en |
| Creator | Sarantinoudis Nikolaos | en |
| Creator | Σαραντινουδης Νικολαος | el |
| Creator | Tsinarakis Georgios | en |
| Creator | Τσιναρακης Γεωργιος | el |
| Creator | Dedousis Panagiotis | en |
| Creator | Arampatzis Georgios | en |
| Creator | Αραμπατζης Γεωργιος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Description | This work was supported by the European Union’s Horizon 2020 Program through the Project Energy-aware Factory Analytics for Process Industries (FACTLOG) under Grant H2020-869951. | en |
| Content Summary | A process modelling and simulation theoretical framework of general use for the study of continuous process industrial systems is introduced. The proposed process modelling methodology is based on Material Flow Networks and is implemented on a Process Simulation Modelling Tool developed for this purpose. The tool introduced can also serve the requirements arising for online use of the models as digital shadows of the physical systems, in the context of digital twinning the process industry. The implemented models in conjunction with tools from other scientific fields can be used for monitoring, root cause analysis, performance optimization, limitation and recovery of the behaviour of systems. An application example of the proposed methodology is provided and useful conclusions arise. Finally, extensions of the proposed method and potential challenges are discussed. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Date of Item | 2025-03-24 | - |
| Date of Publication | 2023 | - |
| Subject | Analytics | en |
| Subject | Continuous process systems | en |
| Subject | Digital twins | en |
| Subject | Industrial systems | en |
| Subject | Industry 40 | en |
| Subject | Internet of Things | en |
| Subject | Material flow network | en |
| Subject | Optimization | en |
| Subject | Process modelling | en |
| Subject | Simulation | en |
| Bibliographic Citation | N. Sarantinoudis, G. Tsinarakis, P. Dedousis and G. Arampatzis, "Model-based simulation framework for Digital Twins in the process industry," IEEE Access, vol. 11, pp. 111701-111714, 2023, doi: 10.1109/ACCESS.2023.3322926. | en |
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