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/Report › Chapter in book/Anthology/Report › Contributed › peer-review
Contributors
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 language | English |
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Title of host publication | 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering |
Pages | 595-600 |
Number of pages | 6 |
Volume | 53 |
Publication status | Published - Jan 2024 |
Peer-reviewed | Yes |
Publication series
Series | Computer aided chemical engineering |
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ISSN | 1570-7946 |
External IDs
ORCID | /0000-0001-5165-4459/work/163766191 |
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ORCID | /0000-0001-7012-5966/work/163766431 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Digital Twin, information model, modular plants, PEA match, PEA pool