Grosch, Benedikt ; Fuhrländer-Völker, Daniel ; Stock, Jerome ; Weigold, Matthias (2022)
Cyber-physical production system for energy-flexible control of production machines.
In: Procedia CIRP, 107
doi: 10.1016/j.procir.2022.04.037
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Since the share of renewable energy continues to grow, the resulting fluctuations of energy supply in the electricity grid must be balanced. Electricity consumers can help achieving this by reacting to fluctuations in supply and adjusting their demand (demand response). As one of the largest electricity consumers, industry should embrace this opportunity by implementing energy flexibility measures for demand response. In an energy-flexible production, machines have multiple objectives: First they must meet the traditional production targets: high quality, low cost, and short production time. Additionally, they should react to electricity price signals or to external power change requests and adjust their electrical consumption, for example by interrupting an active process. Forecasts of future machine behavior including energy consumption and the state of machine components help to improve the effectiveness of a proposed energy-flexible controller that enables machines to achieve these objectives. In addition, the machine and the controller must communicate with each other and external sources. Therefore, we propose the implementation of a cyber-physical production system (CPPS) for energy-flexible operation of production machines. Our CPPS consists of a simulation model for forecasting, an automation data model for controlling production machines via OPC UA and of a software framework, which is based on co-simulation, to provide the environment for controlling and optimizing the production machine in an energy-flexible manner. We show that co-simulation can be used to achieve energy-flexible operation of production machines and avoid unsafe states of the system. We apply the framework to an aqueous component cleaning machine performing a batch process. The operation of the electric tank heating element and the start times of cleaning process steps are optimized. With this work we show the successful development of the CPPS and the corresponding software framework, which will be transferred to other machines and more complex controllers in the future.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Grosch, Benedikt ; Fuhrländer-Völker, Daniel ; Stock, Jerome ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | Cyber-physical production system for energy-flexible control of production machines |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Verlag: | Elsevier B.V. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP |
| Jahrgang/Volume einer Zeitschrift: | 107 |
| DOI: | 10.1016/j.procir.2022.04.037 |
| Kurzbeschreibung (Abstract): | Since the share of renewable energy continues to grow, the resulting fluctuations of energy supply in the electricity grid must be balanced. Electricity consumers can help achieving this by reacting to fluctuations in supply and adjusting their demand (demand response). As one of the largest electricity consumers, industry should embrace this opportunity by implementing energy flexibility measures for demand response. In an energy-flexible production, machines have multiple objectives: First they must meet the traditional production targets: high quality, low cost, and short production time. Additionally, they should react to electricity price signals or to external power change requests and adjust their electrical consumption, for example by interrupting an active process. Forecasts of future machine behavior including energy consumption and the state of machine components help to improve the effectiveness of a proposed energy-flexible controller that enables machines to achieve these objectives. In addition, the machine and the controller must communicate with each other and external sources. Therefore, we propose the implementation of a cyber-physical production system (CPPS) for energy-flexible operation of production machines. Our CPPS consists of a simulation model for forecasting, an automation data model for controlling production machines via OPC UA and of a software framework, which is based on co-simulation, to provide the environment for controlling and optimizing the production machine in an energy-flexible manner. We show that co-simulation can be used to achieve energy-flexible operation of production machines and avoid unsafe states of the system. We apply the framework to an aqueous component cleaning machine performing a batch process. The operation of the electric tank heating element and the start times of cleaning process steps are optimized. With this work we show the successful development of the CPPS and the corresponding software framework, which will be transferred to other machines and more complex controllers in the future. |
| Freie Schlagworte: | co-simulation, cyber-physical production system, demand response, industrial demand-side integration, industry 4.0 |
| 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: | 13 Jul 2022 07:56 |
| Letzte Änderung: | 07 Dez 2023 13:00 |
| PPN: | 496807137 |
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