Aiding Modular Plant Design by Linking Capability and Transformation Models
Research output: Contribution to book/Conference proceedings/Anthology/Report › Chapter in book/Anthology/Report › Contributed › peer-review
Contributors
Abstract
The specialty chemical and pharmaceutical industries require faster time-to-market, and more flexible production. Modular Plants built from Process Equipment Assemblies (PEAs) and designed according to VDI 2776 are suitable to address these challenges. Since PEAs are designed independently of the products they produce, this creates a problem of exchange of information between the Owner/Operator (O/O) and the PEA vendors. In this paper, an information model that links information about the products from the O/O (transformation model) to the information about the PEA from the PEA vendors (capability model) is introduced. Although, the necessary information from these two parties is contained and distributed amongst existing standards for information models such as DEXPI and OntoCAPE, these standards must be connected and extended to support modular plants. The application of this information model is illustrated for connecting a neutralization process with a reactor PEA.
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 |
Publisher | Elsevier Science B.V. |
Pages | 583-588 |
Number of pages | 6 |
Publication status | Published - Jan 2024 |
Peer-reviewed | Yes |
Publication series
Series | Computer aided chemical engineering |
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Volume | 53 |
ISSN | 1570-7946 |
External IDs
ORCID | /0000-0001-5165-4459/work/163766192 |
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ORCID | /0000-0001-7012-5966/work/163766432 |
Mendeley | 208af567-0a25-3152-b2bd-f2ea14f99b74 |
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 twins, information model, knowledge distribution, modular plants