Towards PEA Matching from Simulation as Part of a Digital Twin Concept for Scale-Up in Modular Plants
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Buch/Sammelband/Gutachten › Beigetragen › Begutachtung
Beitragende
Abstract
Digital artefacts stored in different engineering tools must be semantically linked as part of a Digital Twin (Rosen et al., 2019). However, in the case of Digital Twins for modular plants made up of process equipment assemblies (PEAs) according to VDI 2776-1, different domains interact with different phases across a PEA asset lifecycle and a modular plant lifecycle, challenging existing vendor independent standards for information models (Koch et al., 2023b). To address this challenge, we present a new information model based on OntoCAPE and DEXPI P&ID to support selecting a PEAs from a PEA pool based on queries. To illustrate the functionality of the presented information model, an implementation is presented for matching a Buchwald-Hartwig reaction to a stirred tank reactor PEA using the Siemens engineering toolchain of gPROMS and COMOS. An example query is also provided.
Details
Originalsprache | Englisch |
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Titel | 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering |
Seiten | 595-600 |
Seitenumfang | 6 |
Band | 53 |
Publikationsstatus | Veröffentlicht - Jan. 2024 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | Computer aided chemical engineering |
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ISSN | 1570-7946 |
Externe IDs
ORCID | /0000-0001-5165-4459/work/163766191 |
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ORCID | /0000-0001-7012-5966/work/163766431 |
Schlagworte
Forschungsprofillinien der TU Dresden
DFG-Fachsystematik nach Fachkollegium
Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Digital Twin, information model, modular plants, PEA match, PEA pool