| Autor: |
Peter Hehenberger, Dominik Leherbauer, Olivia Penas, Romain Delabeye, Stanislao Patalano, Ferdinando Vitolo, Andrea Rega, Panayiotis Alefragis, Michael Birbas, Alexios Birbas, Panagiotis Katrakazas |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Systems, Vol 11, Iss 2, p 100 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2079-8954 |
| DOI: |
10.3390/systems11020100 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
