Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | MoDELS 2016 - Demos and Posters |
| Untertitel | Proceedings of the MoDELS 2016 Demo and Poster Sessions co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016) |
| Seiten | 87-93 |
| Seitenumfang | 7 |
| Publikationsstatus | Veröffentlicht - 11 Nov. 2016 |
| Veranstaltung | ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016) - Saint-Malo, Frankreich Dauer: 2 Okt. 2016 → 7 Okt. 2016 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 1725 |
| ISSN (Print) | 1613-0073 |
Abstract
Rising costs of energy production have made saving energy an important topic in many areas, including modern production systems. One idea is taking advantage of the braking energy becoming available when decelerating moving components of a machine. However, using the braking energy is a difficult task, as it requires the synchronization of the movement of different parts of a production system. Storing this energy often is not an economically viable solution. Optimizing the entire production process, in particular recognizing all optimization opportunities while still fulfilling all requirements, is a difficult and error-prone task. To support engineers in this task, we propose behavior modeling through scenario-based specifications, to be able to automatically generate all valid behavior strategies for the system, combined with energy usage modeling through state machines, to automatically identify the most energy-efficient strategy.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
Ziele für nachhaltige Entwicklung
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- BibTex
- RIS
MoDELS 2016 - Demos and Posters: Proceedings of the MoDELS 2016 Demo and Poster Sessions co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016). 2016. S. 87-93 (CEUR Workshop Proceedings; Band 1725).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - An approach for synthesizing energy-efficient controllers for production systems from scenario-based specifications
AU - Greenyer, Joel
AU - Gritzner, Daniel
PY - 2016/11/11
Y1 - 2016/11/11
N2 - Rising costs of energy production have made saving energy an important topic in many areas, including modern production systems. One idea is taking advantage of the braking energy becoming available when decelerating moving components of a machine. However, using the braking energy is a difficult task, as it requires the synchronization of the movement of different parts of a production system. Storing this energy often is not an economically viable solution. Optimizing the entire production process, in particular recognizing all optimization opportunities while still fulfilling all requirements, is a difficult and error-prone task. To support engineers in this task, we propose behavior modeling through scenario-based specifications, to be able to automatically generate all valid behavior strategies for the system, combined with energy usage modeling through state machines, to automatically identify the most energy-efficient strategy.
AB - Rising costs of energy production have made saving energy an important topic in many areas, including modern production systems. One idea is taking advantage of the braking energy becoming available when decelerating moving components of a machine. However, using the braking energy is a difficult task, as it requires the synchronization of the movement of different parts of a production system. Storing this energy often is not an economically viable solution. Optimizing the entire production process, in particular recognizing all optimization opportunities while still fulfilling all requirements, is a difficult and error-prone task. To support engineers in this task, we propose behavior modeling through scenario-based specifications, to be able to automatically generate all valid behavior strategies for the system, combined with energy usage modeling through state machines, to automatically identify the most energy-efficient strategy.
KW - Controller synthesis
KW - Energy-efficiency
KW - Optimization
KW - Scenarios
UR - http://www.scopus.com/inward/record.url?scp=84999188032&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84999188032
T3 - CEUR Workshop Proceedings
SP - 87
EP - 93
BT - MoDELS 2016 - Demos and Posters
T2 - ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016)
Y2 - 2 October 2016 through 7 October 2016
ER -