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
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | e70129 |
| Seitenumfang | 8 |
| Fachzeitschrift | Chemie-Ingenieur-Technik |
| Publikationsstatus | Elektronische Veröffentlichung vor Drucklegung - 27 Mai 2026 |
| Peer-Review-Status | Ja |
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
- Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models
- Chemische und Thermische Verfahrenstechnik - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models
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
- SDG 9 – Industrie, Innovation und Infrastruktur - digital twins, energy Key performance indicators (eKPIs), hazard and operability study (HAZOP) analysis, modular plants, semantic data models
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