A View on Advanced Standby Control in Industry from a Knowledge Engineering Perspective

Andreas W. Mueller, Joern Peschke

2015

Abstract

In improving the energy efficiency of industrial plants, advanced standby control depicts a strategic instrument subject to various influences and with impacts on models and software tools along the entire plant lifecycle. In order to effectively switch plants and components to different levels of energy consumption, the required knowledge needs to be properly engineered and applied. This paper presents an overview of this knowledge and its interrelations in the industrial domain, with special focus on the requirements for automated generation of energy state models and switching paths. For these tasks, integrative approaches are proposed.

References

  1. Allen, J.F., 1983. Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11), pp.832-843.
  2. BMWi, 2014. The Energy of the Future - First “Energy Transition” Progress Report -Summary, Berlin: The Federal Ministry for Economic Affairs and Energy (BMWi).
  3. Böde, U., Bradke, H., Cremer, C., 2000. Detaillierung des Stromverbrauchs privater Haushalte in der Bundesrepublik Deutschland 1997 - 2010, Karlsruhe: Fraunhofer-Institut für Systemtechnik und Innovationsforschung -ISI-.
  4. Brecher, C., Feng, J., Özdemir, D., Fayzullin, K., Herfs, W., Müller, A., Hamadou, M., 2010. Automatische Generierung von Arbeitsabläufen. Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF), (12/2010), pp.1084-1090.
  5. Bründl, A., Deutsch, N., Bornholdt, M., Ruhbaum, C., 2015. Branchenmonitor Energieeffizienz 2015, Berlin: Deutsche Unternehmensinitiative Energieeffizienz e.V. (DENEFF).
  6. Hübner, I., 2011. Erkenntnisse der Profienergy-Studie. openautomation, 3/11.
  7. IEA, 2007. Tracking Industrial Energy Efficiency and CO2 Emissions, Paris: International Energy Agency.
  8. IO-Link Community, 2013. IO-Link Interface and System Specification V1.1.2.
  9. Mechs, S.G., 2013. Model-based Engineering for Energyefficient Operation of Factory Automation Systems Within Non-productive Phases, Shaker.
  10. Mobley, R.K., 2002. An Introduction to Predictive Maintenance, Butterworth Heinemann.
  11. Moubray, J., 1997. Reliability-Centered Maintenance Second Edition 2 Revised edition., New York, NY: Industrial Press, Inc.
  12. PNO, 2013. Common Application Profile PROFIenergy - Technical Specification for PROFINET V1.1 Ed. 2, PROFIBUS Nutzerorganisation e.V.
  13. PNO, 2015. Diagnosis for PROFINET IO V1.1, PROFIBUS Nutzerorganisation e.V.
  14. Sauer, O., 2010. Trends in Manufacturing Execution Systems. In Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Springer Berlin Heidelberg, pp. 685-693.
  15. Schlechtendahl, J., 2012. Whitepaper sercos ENERGY, sercos International e.V.
  16. Schlechtendahl, J., Eberspächer, P., Haag, H., Verl, A., Westkämper, E., 2013. Framework for Controlling Energy Consumption of Machine Tools. In P. Golinska, ed. EcoProduction and Logistics. EcoProduction. Springer Berlin Heidelberg, pp. 155- 168.
  17. Schlechtendahl, J., Sommer, P., Eberspächer, P., Verl, A., 2012. Automated Linkage of Consumption Models and Control Information in Control Systems. In D. A. Dornfeld & B. S. Linke, eds. Leveraging Technology for a Sustainable World. Springer Berlin Heidelberg, pp. 387-391.
  18. Schöfberger, W., Blumauer, G., Bachl, M., Traxler, R., Petzl, B., Leutgöb, M., Kolic, P., Bergthaler, F., Bäuchler, W., Aschauer, S., Grill, H., Reisinger, B., Preinfalk, S., 2010. Abschaltbare Fabrik: Zentrale Leittechnik und Gesamtkonzept zu Energieeinsparungen und zur Ressourcenoptimierung im Standby Betrieb von Industrieanlagen, Linz, Austria.
  19. sercos, 2011. sercos Energy Profile V1.3.1-1.1, sercos International e.V.
  20. Wolff, D., Hundt, L., Dreher, S., 2013. Requirements on the engineering of advanced standby strategies in automobile production. In Proceedings of the 11th Global Conference on Sustainable Manufacturing.
Download


Paper Citation


in Harvard Style

Mueller A. and Peschke J. (2015). A View on Advanced Standby Control in Industry from a Knowledge Engineering Perspective . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 364-369. DOI: 10.5220/0005630603640369


in Bibtex Style

@conference{keod15,
author={Andreas W. Mueller and Joern Peschke},
title={A View on Advanced Standby Control in Industry from a Knowledge Engineering Perspective},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={364-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005630603640369},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - A View on Advanced Standby Control in Industry from a Knowledge Engineering Perspective
SN - 978-989-758-158-8
AU - Mueller A.
AU - Peschke J.
PY - 2015
SP - 364
EP - 369
DO - 10.5220/0005630603640369