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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Andreas Bamberg - , Merck KGaA (Autor:in)
  • Leon Urbas - , Arbeitsgruppe Systemverfahrenstechnik (Autor:in)
  • Sönke Bröcker - , Evonik Operations GmbH (Autor:in)
  • Michael Bortz - , Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) (Autor:in)
  • Norbert Kockmann - , Technische Universität (TU) Dortmund (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)954-961
Seitenumfang8
FachzeitschriftChemical Engineering and Technology
Jahrgang44
Ausgabenummer6
PublikationsstatusVeröffentlicht - Juni 2021
Peer-Review-StatusJa

Externe IDs

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

Schlagworte

Forschungsprofillinien der TU Dresden

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

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