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

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review

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

Original languageEnglish
Title of host publication34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering
Pages595-600
Number of pages6
Volume53
Publication statusPublished - Jan 2024
Peer-reviewedYes

Publication series

Series Computer aided chemical engineering
ISSN1570-7946

External IDs

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

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

Keywords

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