Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings |
| Untertitel | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 436-441 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781728148786 |
| Publikationsstatus | Veröffentlicht - 14 Okt. 2019 |
| Extern publiziert | Ja |
| Veranstaltung | 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal Dauer: 14 Okt. 2019 → 17 Okt. 2019 |
Publikationsreihe
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| Band | 2019-October |
Abstract
Due to the rising share of renewable energy sources in the energy market (e.g. 40 % in Germany 2018) the power grid has to be stabilized by other sources of balancing power than conventional power plants and the volatility of the energy price is expected to increase. Production machines in the industry have unused energy flexibilities in their production processes. Those flexibilities like the differences in energy consumption between various machining processes or even between single processing steps could be used for demand-side management. This paper presents an approach on how to model and control the energy consumption of CNC (Computerized Numerical Control) machines. While in previous studies on energy flexibilities, mainly high energy-consuming auxiliary units are investigated, the focus of this publication is to use explicitly the flexibilities inside the process. The main idea is to optimize automatically the production process to a certain volatile energy price without significantly delaying the process, increasing the workload on the shop floor with additional tasks or jeopardizing (much) the workpiece quality. The proposed method uses a material removal simulation in combination with an energy model of the flexibilized machine tool, to be able to model the energy consumption of each processing step, and its dependencies to other steps. The energy costs can be reduced by scheduling the various processing steps. The precondition for the "look ahead" is a workpiece model, a model of the machine and a tool model which are described in this publication. Therefore, it is not only suitable for series production but also for small batch production. The approach is especially interesting for long production processes (≫1 h) or a market with highly volatile energy prices.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Ziele für nachhaltige Entwicklung
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- BibTex
- RIS
Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2019. S. 436-441 8927142 (IECON Proceedings (Industrial Electronics Conference); Band 2019-October).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Look-Ahead to Minimize Energy Costs of CNC Milling Machines for a Volatile Energy Price
AU - Kehne, Sebastian
AU - Fimmers, Christian
AU - Gründel, Lukas
AU - Zender, Felix
AU - Epple, Alexander
AU - Storms, Simon
AU - Brecher, Christian
N1 - Publisher Copyright: © 2019 IEEE.
PY - 2019/10/14
Y1 - 2019/10/14
N2 - Due to the rising share of renewable energy sources in the energy market (e.g. 40 % in Germany 2018) the power grid has to be stabilized by other sources of balancing power than conventional power plants and the volatility of the energy price is expected to increase. Production machines in the industry have unused energy flexibilities in their production processes. Those flexibilities like the differences in energy consumption between various machining processes or even between single processing steps could be used for demand-side management. This paper presents an approach on how to model and control the energy consumption of CNC (Computerized Numerical Control) machines. While in previous studies on energy flexibilities, mainly high energy-consuming auxiliary units are investigated, the focus of this publication is to use explicitly the flexibilities inside the process. The main idea is to optimize automatically the production process to a certain volatile energy price without significantly delaying the process, increasing the workload on the shop floor with additional tasks or jeopardizing (much) the workpiece quality. The proposed method uses a material removal simulation in combination with an energy model of the flexibilized machine tool, to be able to model the energy consumption of each processing step, and its dependencies to other steps. The energy costs can be reduced by scheduling the various processing steps. The precondition for the "look ahead" is a workpiece model, a model of the machine and a tool model which are described in this publication. Therefore, it is not only suitable for series production but also for small batch production. The approach is especially interesting for long production processes (≫1 h) or a market with highly volatile energy prices.
AB - Due to the rising share of renewable energy sources in the energy market (e.g. 40 % in Germany 2018) the power grid has to be stabilized by other sources of balancing power than conventional power plants and the volatility of the energy price is expected to increase. Production machines in the industry have unused energy flexibilities in their production processes. Those flexibilities like the differences in energy consumption between various machining processes or even between single processing steps could be used for demand-side management. This paper presents an approach on how to model and control the energy consumption of CNC (Computerized Numerical Control) machines. While in previous studies on energy flexibilities, mainly high energy-consuming auxiliary units are investigated, the focus of this publication is to use explicitly the flexibilities inside the process. The main idea is to optimize automatically the production process to a certain volatile energy price without significantly delaying the process, increasing the workload on the shop floor with additional tasks or jeopardizing (much) the workpiece quality. The proposed method uses a material removal simulation in combination with an energy model of the flexibilized machine tool, to be able to model the energy consumption of each processing step, and its dependencies to other steps. The energy costs can be reduced by scheduling the various processing steps. The precondition for the "look ahead" is a workpiece model, a model of the machine and a tool model which are described in this publication. Therefore, it is not only suitable for series production but also for small batch production. The approach is especially interesting for long production processes (≫1 h) or a market with highly volatile energy prices.
KW - energy flexibility
KW - look-ahead
KW - machine tools
KW - process flexibilization
UR - http://www.scopus.com/inward/record.url?scp=85084001419&partnerID=8YFLogxK
U2 - 10.1109/IECON.2019.8927142
DO - 10.1109/IECON.2019.8927142
M3 - Conference contribution
AN - SCOPUS:85084001419
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 436
EP - 441
BT - Proceedings
PB - IEEE Computer Society
T2 - 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
Y2 - 14 October 2019 through 17 October 2019
ER -