The Digital Twin – Your Ingenious Companion for Process Engineering and Smart Production

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Andreas Bamberg - , Merck KGaA (Author)
  • Leon Urbas - , Process Systems Engineering Group (Author)
  • Sönke Bröcker - , Evonik Operations GmbH (Author)
  • Michael Bortz - , Fraunhofer Institute for Industrial Mathematics (ITWM) (Author)
  • Norbert Kockmann - , Dortmund University of Technology (Author)

Abstract

This essay of the temporary Working Group “100% Digital” of the Association “Process, Apparatus and Plant Engineering” PAAT in ProcessNet addresses characteristics of a digital twin from the user's point of view and is intended to help solution providers to give product development a customer-oriented direction. For this purpose, the different data models are described which play a role in the life cycles of chemical processes, plants, and products. In particular, for existing (brownfield) plants, essential aspects of the digital twin are subsequently formulated. Further expressions and consequences, e.g., on qualification and training, are deduced from the above.

Details

Original languageEnglish
Pages (from-to)954-961
Number of pages8
JournalChemical Engineering and Technology
Volume44
Issue number6
Publication statusPublished - Jun 2021
Peer-reviewedYes

External IDs

ORCID /0000-0001-5165-4459/work/172571729

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

Keywords

  • Asset life cycles, Chemical value chains, Digital twins, Product process resource models