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

Author:

Hehenberger Peter1,Leherbauer Dominik1ORCID,Penas Olivia2ORCID,Delabeye Romain2ORCID,Patalano Stanislao3ORCID,Vitolo Ferdinando3ORCID,Rega Andrea3ORCID,Alefragis Panayiotis4ORCID,Birbas Michael5,Birbas Alexios5,Katrakazas Panagiotis6ORCID

Affiliation:

1. “Smart Mechatronics Engineering” Research Group, University of Applied Sciences Upper Austria, 4600 Wels, Austria

2. Quartz Laboratory (EA7393), ISAE-Supméca, 93400 Saint-Ouen-sur-Seine, France

3. Fraunhofer J-Lab IDEAS, Department of Industrial Engineering, University of Naples Federico II, P.le V. Tecchio 80, 80125 Naples, Italy

4. Electrical and Computer Engineering Department, University of Peloponnese, 26335 Patras, Greece

5. Electrical and Computer Engineering Department, University of Patras, 26500 Patras, Greece

6. Maggioli S.p.A. Greek Branch, 15124 Athens, Greece

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.

Funder

European Union’s Horizon 2020 Research and Innovation Programme

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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