A digital twin-concept for smart process equipment assemblies supporting process validation in modular plants

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

Abstract

Modular plants provide the opportunity to increase flexibility and reduce time-to-market in the process industry. Process validation is time-consuming and limits the realization of this potential. Therefore, it should be supported efficiently. Smart process equipment assemblies (sPEAs) built from the real module, a digital twin (DT), and suitable methods and algorithms provide high potential to do so. In this paper, we investigate how a suitable DT should look like to support the process design phase in process validation. Therefore, the semantics and information demand of different relevant simulation and optimization problems are analyzed. We reason that the DT should combine structural information like engineering data, e.g. through DEXPI, and behavioral models in form of simulation models. Furthermore, it should provide the descriptive capability to capture the semantics of different application cases like e.g. design of experiments. We suggest a linked-databased architecture to meet these requirements. The simulation models are semantically lifted into linked data through an information model describing its purpose, quality and variables. The approach provides the potential to reduce manual effort of the user since information is interconnected, accessible and processible automatically.

Details

OriginalspracheEnglisch
TitelComputer Aided Chemical Engineering
Herausgeber (Verlag)Elsevier Science B.V.
Seiten1435-1440
Seitenumfang6
Band51
ISBN (Print)978-0-443-18631-8
PublikationsstatusVeröffentlicht - Jan. 2022
Peer-Review-StatusJa

Publikationsreihe

Reihe Computer aided chemical engineering
Band51
ISSN1570-7946

Externe IDs

ORCID /0000-0002-5814-5128/work/142242025
ORCID /0000-0001-5165-4459/work/142248251
ORCID /0000-0001-7012-5966/work/142253164

Schlagworte

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • digital twin, linked data, Modular plants, process validation, smart PEA