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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mechs, S. Lamparter, S. Muller, J.P. |
| Copyright Year | 2012 |
| Description | Author affiliation: Siemens AG Corporate Technology, Intelligent Systems and Control, Otto-Hahn-Ring 6, Munich, Germany (Mechs, S.; Lamparter, S.) || Department of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, Clausthal-Zellerfeld, Germany (Muller, J.P.) |
| Abstract | In this paper, we propose a state-based, modular model for automation systems enabling the calculation and optimization of switching strategies for energy-efficient operation. This concept is based on the model of networked (priced) timed automata that we call energy system model. It comprises structural, temporal and energetic information of automation subsystems' behavior providing a basis for automated analysis and calculation of feasible, energy-optimal switching strategies for the complete automation system. The presented real-world automation system enables proof-of-concept and allows discussing the arising, domain-specific complexity of the temporal and energetic analysis. By means of the energy system model, we provide a basis for calculating energy-optimal operation of modular automation systems and support the comparison of alternative, energetic switching strategies of subsystems. For this purpose, a symbolic reachability analysis complemented by solving a constrained optimization problem is applied in this approach. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1538915 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467347358 |
| ISSN | 19460740 |
| e-ISBN | 9781467347372 |
| e-ISBN | 9781467347365 |
| DOI | 10.1109/ETFA.2012.6489596 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-17 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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