Accelerating the Roll-Out of Modular Plants: From Engineering and Approval to Operation of Energy-Efficient Modular Plants

Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung

Beitragende

Abstract

Modular production concepts enable flexible process plants composed of standardized process equipment assemblies (PEAs). However, the practical implementation of modular plants across the entire engineering lifecycle, including planning, approval and operation, remains challenging. Within the ENPRO REUNION project, semantic PEA datasheets (SPEADs) were developed to enable manufacturer-independent and machine-readable module descriptions. The approach was validated through the commissioning of a modular pilot plant integrating modules from different manufacturers and through the development of a modular crystallization unit. In addition, energy monitoring via digital twins and a knowledge-graph-based hazard and operability study (HAZOP) analysis were implemented. The results demonstrate key technological building blocks for modular production while highlighting remaining challenges regarding semantic integration and regulatory approval.

Details

OriginalspracheEnglisch
Aufsatznummere70129
Seitenumfang8
FachzeitschriftChemie-Ingenieur-Technik
PublikationsstatusElektronische Veröffentlichung vor Drucklegung - 27 Mai 2026
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-5814-5128/work/220700433
ORCID /0000-0001-5165-4459/work/220700821
ORCID /0009-0000-3014-9859/work/220701995

Schlagworte

Forschungsprofillinien der TU Dresden

  • Datenintensive Wissenschaften - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

  • Automatisierungstechnik - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models

Ziele für nachhaltige Entwicklung

ASJC Scopus Sachgebiete

  • Allgemeine Chemie - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models
  • Allgemeine chemische Verfahrenstechnik - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models
  • Wirtschaftsingenieurwesen und Fertigungstechnik - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models

Schlagwörter

  • digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models