Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework

Peter Hehenberger, Dominik Leherbauer, Olivia Penas, Romain Delabeye, Stanislao Patalano, Ferdinando Vitolo, Andrea Rega, Panayiotis Alefragis, Michael Birbas, Alexios Birbas, Panagiotis Katrakazas

Research output: Contribution to journalArticlepeer-review

Abstract

Optimizing and predicting the energy consumption of industrial manufacturing can increase its cost efficiency. The interaction of different aspects and components is necessary. An overarching framework is currently still missing, and establishing such is the central research approach in this paper. This paper provides an overview of the current demands on the manufacturing industry from the perspective of digitalization and sustainability. On the basis of the developed fundamentals and parameters, a superordinate framework is proposed that allows the modelling and simulation of energy-specific properties on several product and process levels. A detailed description of the individual methods concludes this work and demonstrates their application potential in an industrial context. As a result, this integrated conceptual framework offers the possibility of optimizing the production system, in relation to different energy flexibility criteria.

Original languageEnglish
Article number100
JournalSystems
Volume11
Issue number2
DOIs
Publication statusPublished - Feb 2023

Keywords

  • digital transformation
  • digital twin
  • energy management
  • life cycle assessment
  • sustainability

Fingerprint

Dive into the research topics of 'Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework'. Together they form a unique fingerprint.

Cite this