Ontology-Based Optimization of Building Automation Systems

Stefan Gaida (Vortragende:r), Wolfgang Kastner, Filip Petrushevski, Milos Sipetic

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Modern buildings are equipped with various complex automation systems that produce vast amounts of data. The operation of these systems has significant influence on energy demands and user comfort in the premises. Therefore, an optimal configuration of the systems to increase energy efficiency is desired by the operators of the building. An automated decision-making process that evaluates and analyzes the bulk of available data can help to achieve these objectives. Hence, this work introduces a framework for the automatic generation of recommended configuration changes to increase energy efficiency and user comfort. The approach makes extensive use of semantic building information modeling as basis for the selection of potentially useful measures as well as for their assessment. Expected consequences of configuration changes are forecasted via simulation. Additionally, current results of an application of the proposed solution in an office building are discussed in this work.
OriginalspracheEnglisch
TitelIECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society
Seiten819-825
Seitenumfang7
PublikationsstatusVeröffentlicht - 2018
VeranstaltungIECON 2018 -
Dauer: 21 Okt. 201823 Okt. 2018

Konferenz

KonferenzIECON 2018
Zeitraum21/10/1823/10/18

Research Field

  • Digitalisation and HVAC Technologies in Buildings

Fingerprint

Untersuchen Sie die Forschungsthemen von „Ontology-Based Optimization of Building Automation Systems“. Zusammen bilden sie einen einzigartigen Fingerprint.

Diese Publikation zitieren