Building performance evaluation using OpenMath and Linked Data

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Title: Building performance evaluation using OpenMath and Linked Data
Authors: Hu, ShushanCorry, EdwardHorrigan, MatthewHoare, CathalDos Reis, MathildeO'Donnell, James
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Date: 1-Sep-2018
Online since: 2019-08-20T09:48:55Z
Abstract: A 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.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Journal Article
Publisher: Elsevier BV
Journal: Energy and Buildings
Volume: 174
Issue: Energy and Buildings 120 2016
Start page: 484
End page: 494
Copyright (published version): 2018 Elsevier
Keywords: Building performance assessmentData interoperabilityLinked dataOpenMathPerformance metric
DOI: 10.1016/j.enbuild.2018.07.007
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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