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Energy Efficient Automation Model for Office Buildings based on Ontology, Agents and IEC 61499 Function Blocks
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-0799-2888
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0075-1608
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
2014 (English)In: Proceedings of 2014 IEEE 19th International Conference on Emerging Technologies & Factory Automation (ETFA 2014): Barcelona, Spain, 16-19 Sept. 2014, Piscataway, NJ: IEEE Communications Society, 2014, article id 7005081Conference paper, Published paper (Refereed)
Abstract [en]

Execution of business processes is an important factor that distinguishes residential and office buildings based on their energy usage. Unlike residential buildings, in offices workflows determine how and when energy-consuming devices have to be utilized. Thus, energy efficient building automation systems for office buildings should take into account the dynamic and unpredictable nature of business processes. However, the existing systems lack this important feature. In this paper, a model for combining automation and business processes is proposed. The model is implemented using IEC 61499 Function Block architecture, multi-agent systems and ontology. The proposed method has been examined in a meeting room scheduling scenario, in which meeting scheduling and automated control of the meeting room equipment have been combined and the energy usage has been measured to evaluate the improvement in efficient use of energy using the proposed model.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. article id 7005081
Series
IEEE Emerging Technology and Factory Automation (ETFA)
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-29991DOI: 10.1109/ETFA.2014.7005081ISI: 000360999100032Scopus ID: 2-s2.0-84946685215Local ID: 3a371faa-4997-43ba-93b6-8608a55d00e1ISBN: 978-1-61284-969-0 (print)OAI: oai:DiVA.org:ltu-29991DiVA, id: diva2:1003218
Conference
International Conference on Emerging Technologies & Factory Automation : 16/09/2014 - 19/09/2014
Note

Validerad; 2015; Nivå 1; 20150112 (valvya)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Mousavi, ArashPang, ChengYang, Chen-WeiVyatkin, Valeriy

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