Towards PEA Matching from Simulation as Part of a Digital Twin Concept for Scale-Up in Modular Plants

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in Buch/Sammelband/GutachtenBeigetragenBegutachtung

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

OriginalspracheEnglisch
Titel34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering
Seiten595-600
Seitenumfang6
Band53
PublikationsstatusVeröffentlicht - Jan. 2024
Peer-Review-StatusJa

Publikationsreihe

Reihe Computer aided chemical engineering
ISSN1570-7946

Externe IDs

ORCID /0000-0001-5165-4459/work/163766191
ORCID /0000-0001-7012-5966/work/163766431

Schlagworte

Forschungsprofillinien der TU Dresden

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Digital Twin, information model, modular plants, PEA match, PEA pool