Building performance evaluation using OpenMath and Linked Data

DC FieldValueLanguage
dc.contributor.authorHu, Shushan-
dc.contributor.authorCorry, Edward-
dc.contributor.authorHorrigan, Matthew-
dc.contributor.authorHoare, Cathal-
dc.contributor.authorDos Reis, Mathilde-
dc.contributor.authorO'Donnell, James-
dc.date.accessioned2019-08-20T09:48:55Z-
dc.date.available2019-08-20T09:48:55Z-
dc.date.copyright2018 Elsevieren_US
dc.date.issued2018-09-01-
dc.identifier.citationEnergy and Buildingsen_US
dc.identifier.issn0378-7788-
dc.identifier.urihttp://hdl.handle.net/10197/10999-
dc.description.abstractA pronounced gap often exists between expected and actual building performance. The multi-faceted and cross lifecycle causes of this performance gap are found in design assumptions, construction issues and commissioning and operational compromises. Some important factors are firmly rooted in the lack of interoperability around building information. New solutions to the interoperability challenge offer the potential to leverage and reuse available heterogeneous data in a manner that can significantly assist building performance assessment. Linked data provides an open, modular and extensible solution for the challenge. However, in the buildings domain, the integration of rule-based performance metrics and contextual information has yet to be formally established. This paper describes an approach to the provision of in-depth building performance assessment through the integration of OpenMath and linked data. An ontology describing performance metrics in RDF is presented, together with an automated metric evaluation solution using multi-silo queries and computer algebra systems, providing a flexible, automated and extensible mechanism for the assessment of building performance. Building managers and engineers can simultaneously analyse time-series building performance at a range of levels, without burdensome manual intervention such as is the case with traditional solutions. A test implementation on a large university building highlights the potential of this solution.en_US
dc.description.sponsorshipEuropean Commission - Seventh Framework Programme (FP7)en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rightsThis is the author’s version of a work that was accepted for publication in Energy and Buildings. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy and Buildings (174, (2018)) https://doi.org/10.1016/j.enbuild.2018.07.007en_US
dc.subjectBuilding performance assessmenten_US
dc.subjectData interoperabilityen_US
dc.subjectLinked dataen_US
dc.subjectOpenMathen_US
dc.subjectPerformance metricen_US
dc.titleBuilding performance evaluation using OpenMath and Linked Dataen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherjames.odonnell@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume174en_US
dc.identifier.issueEnergy and Buildings 120 2016en_US
dc.identifier.startpage484en_US
dc.identifier.endpage494en_US
dc.check.date2020-09-02-
dc.identifier.doi10.1016/j.enbuild.2018.07.007-
dc.neeo.contributorHu|Shushan|aut|-
dc.neeo.contributorCorry|Edward|aut|-
dc.neeo.contributorHorrigan|Matthew|aut|-
dc.neeo.contributorHoare|Cathal|aut|-
dc.neeo.contributorDos Reis|Mathilde|aut|-
dc.neeo.contributorO'Donnell|James|aut|-
dc.date.embargo2020-07-07en_US
dc.description.admin24 month embargo - ACen_US
dc.description.adminUpdate issue date during checkdate report - ACen_US
dc.date.updated2019-08-15T12:54:20Z-
dc.identifier.grantidProject number 631617-
item.fulltextWith Fulltext-
item.grantfulltextembargo_20200707-
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