Design of knowledge-based systems for automated deployment of building management services

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dc.contributor.authorSchneider, Georg F.
dc.contributor.authorKontes, Georgios D.
dc.contributor.authorQiu, Haonan
dc.contributor.authorSilva, Filipe J.
dc.contributor.authorBucur, Mircea
dc.contributor.authorMalanik, Jakub
dc.contributor.authorSchindler, Zdenek
dc.contributor.authorAndriopolous, Panos
dc.contributor.authorde Agustin-Camacho, Pablo
dc.contributor.authorRomero-Amorrortu, Ander
dc.contributor.authorGrün, Gunnar
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionLABORATORIO DE TRANSFORMACIÓN URBANA
dc.contributor.institutionEDIFICACIÓN DE ENERGÍA POSITIVA
dc.date.issued2020-11
dc.descriptionPublisher Copyright: © 2020 The Authors
dc.description.abstractDespite its high potential, the building's sector lags behind in reducing its energy demand. Tremendous savings can be achieved by deploying building management services during operation, however, the manual deployment of these services needs to be undertaken by experts and it is a tedious, time and cost consuming task. It requires detailed expert knowledge to match the diverse requirements of services with the present constellation of envelope, equipment and automation system in a target building. To enable the widespread deployment of these services, this knowledge-intensive task needs to be automated. Knowledge-based methods solve this task, however, their widespread adoption is hampered and solutions proposed in the past do not stick to basic principles of state of the art knowledge engineering methods. To fill this gap we present a novel methodological approach for the design of knowledge-based systems for the automated deployment of building management services. The approach covers the essential steps and best practices: (1) representation of terminological knowledge of a building and its systems based on well-established knowledge engineering methods; (2) representation and capturing of assertional knowledge on a real building portfolio based on open standards; and (3) use of the acquired knowledge for the automated deployment of building management services to increase the energy efficiency of buildings during operation. We validate the methodological approach by deploying it in a real-world large-scale European pilot on a diverse portfolio of buildings and a novel set of building management services. In addition, a novel ontology, which reuses and extends existing ontologies is presented.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent4937484
dc.identifier.citationSchneider , G F , Kontes , G D , Qiu , H , Silva , F J , Bucur , M , Malanik , J , Schindler , Z , Andriopolous , P , de Agustin-Camacho , P , Romero-Amorrortu , A & Grün , G 2020 , ' Design of knowledge-based systems for automated deployment of building management services ' , Automation in Construction , vol. 119 , 103402 , pp. 103402 . https://doi.org/10.1016/j.autcon.2020.103402
dc.identifier.doi10.1016/j.autcon.2020.103402
dc.identifier.issn0926-5805
dc.identifier.otherresearchoutputwizard: 11556/982
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85091237253&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofAutomation in Construction
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsBuilding management services
dc.subject.keywordsKnowledge-based systems
dc.subject.keywordsEnergy efficiency
dc.subject.keywordsKnowledge engineering
dc.subject.keywordsOntology
dc.subject.keywordsBuilding management services
dc.subject.keywordsKnowledge-based systems
dc.subject.keywordsEnergy efficiency
dc.subject.keywordsKnowledge engineering
dc.subject.keywordsOntology
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsCivil and Structural Engineering
dc.subject.keywordsBuilding and Construction
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsSDG 12 - Responsible Consumption and Production
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/680517/EU/Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability/MOEEBIUS
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/680517/EU/Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability/MOEEBIUS
dc.subject.keywordsFunding Info
dc.subject.keywordsThe authors would like to gratefully acknowledge the generous funding provided by the European Union’s Horizon 2020 research and innovation programme through the MOEEBIUS project under grant agreement No. 680517.
dc.subject.keywordsThe authors would like to gratefully acknowledge the generous funding provided by the European Union’s Horizon 2020 research and innovation programme through the MOEEBIUS project under grant agreement No. 680517.
dc.titleDesign of knowledge-based systems for automated deployment of building management servicesen
dc.typejournal article
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