This study describes the development of an operation-independent simulation model for an electrified die-casting foundry that uses a smart grid system to meet its energy needs. The model uses real weather and stock exchange electricity price data for the simulation period. The model can be used to determine and compare the cost of electricity for production at a given time (time of day and season) as well as the economics of different PV system and electricity storage options. It is also possible to analyze the share of different energy sources for each configuration. This can be done for sites throughout Germany. In addition, exemplary simulation studies are presented in this paper which demonstrate the wide range of applications of the model. The results provide an initial overview of the potential for savings and optimization. In the future, the model will provide a basis for determining optimum plant layouts and production times by means of simulation-based optimization.
| Titel | Real-Time Data Integration in an Operation-Independent Simulation Model Using a Smart Grid Approach |
|---|---|
| Medien | Conference on Applied Research in Engineering Sciences, Nürnberg, Germany |
| Verlag | Rediroma-Verlag, Frank Opferkuch, Olaf Ziemann |
| ISBN | 978-3-98885-336-3 |
| Verfasser | Julian Stromberger, Johannes Dettelbacher, Prof. Dr.-Ing. Alexander Buchele |
| Veröffentlichungsdatum | 17.06.2024 |
| Projekttitel | Green Melting |
| Zitation | Stromberger, Julian; Dettelbacher, Johannes; Buchele, Alexander (2024): Real-Time Data Integration in an Operation-Independent Simulation Model Using a Smart Grid Approach. Conference on Applied Research in Engineering Sciences, Nürnberg, Germany. |