Grosch, Benedikt ; Ranzau, Heiko ; Dietrich, Bastian ; Kohne, Thomas ; Fuhrländer-Völker, Daniel ; Sossenheimer, Johannes ; Lindner, Martin ; Weigold, Matthias (2022)
A framework for researching energy optimization of factory operations.
In: Energy Informatics, 5 (S1)
doi: 10.1186/s42162-022-00207-6
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Energy optimization of factory operations has gained increasing importance over recent years since it is understood as one way to counteract climate change. At the same time, the number of research teams working on energy-optimized factory operations has also increased. While many tools are useful in this area, our team has recognized the importance of a comprehensive framework to combine functionality for optimization, simulation, and communication with devices in the factory. Therefore, we developed a framework that provides a standardized interface to research energyoptimized factory operations with a rolling horizon approach. The optimization part of the framework is based on the OpenAI gym environment. The framework also provides connectors for multiple communication protocols including Open Platform Communication Unified Architecture and Modbus via Transmission Control Protocol. These facilities can be utilized to implement rolling horizon optimizations for factory systems easily and directly control devices in the factory with the optimization results. In this article, we present the framework and show some examples to prove the effectiveness of our approach.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Grosch, Benedikt ; Ranzau, Heiko ; Dietrich, Bastian ; Kohne, Thomas ; Fuhrländer-Völker, Daniel ; Sossenheimer, Johannes ; Lindner, Martin ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | A framework for researching energy optimization of factory operations |
| Sprache: | Englisch |
| Publikationsjahr: | 7 September 2022 |
| Verlag: | Springer |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Energy Informatics |
| Jahrgang/Volume einer Zeitschrift: | 5 |
| (Heft-)Nummer: | S1 |
| DOI: | 10.1186/s42162-022-00207-6 |
| Kurzbeschreibung (Abstract): | Energy optimization of factory operations has gained increasing importance over recent years since it is understood as one way to counteract climate change. At the same time, the number of research teams working on energy-optimized factory operations has also increased. While many tools are useful in this area, our team has recognized the importance of a comprehensive framework to combine functionality for optimization, simulation, and communication with devices in the factory. Therefore, we developed a framework that provides a standardized interface to research energyoptimized factory operations with a rolling horizon approach. The optimization part of the framework is based on the OpenAI gym environment. The framework also provides connectors for multiple communication protocols including Open Platform Communication Unified Architecture and Modbus via Transmission Control Protocol. These facilities can be utilized to implement rolling horizon optimizations for factory systems easily and directly control devices in the factory with the optimization results. In this article, we present the framework and show some examples to prove the effectiveness of our approach. |
| Freie Schlagworte: | Industrial Demand Side Integration, Industrial Internet of Things, Rolling Horizon Optimization |
| Zusätzliche Informationen: | Proceedings of the 11th DACH+ Conference on Energy Informatics; Article number: 29 |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
| Hinterlegungsdatum: | 16 Sep 2022 06:01 |
| Letzte Änderung: | 07 Dez 2023 12:59 |
| PPN: | 499468023 |
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