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A performance assessment ontology for the environmental and energy management of buildings

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Author(s)
Corry, Edward 
Pauwels, Pieter 
Hu, Shushan 
Keane, Marcus 
O'Donnell, James 
Uri
http://hdl.handle.net/10197/7330
Date Issued
September 2015
Date Available
01T01:00:09Z September 2017
Abstract
Narrowing the performance deficit between design intent and the real-time environmental and energy performance of buildings is a complex and involved task, impacting on all building stakeholders. Buildings are designed, built and operated with increasingly complex technologies. Throughout their life-cycle, they produce vast quantities of data. However, many commercial buildings do not perform as originally intended. This paper presents a semantic web based approach to the performance gap problem, describing how heterogeneous building data sources can be transformed into semantically enriched information. A performance assessment ontology and performance framework (software tool) are introduced, which use this heterogeneous data as a service for a structured performance analysis. The demonstrator illustrates how heterogeneous data can be published semantically and then interpreted using a life-cycle performance framework approach.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Irish Research Council
Other Sponsorship
Programme for Research in ThirdLevel Institutions (PRTLI) Cycle 5
European Regional Development Fund (ERDF)
Marie Curie FP7 Integration Grant
Type of Material
Journal Article
Publisher
Elsevier
Journal
Automation in Construction
Volume
57
Start Page
249
End Page
259
Copyright (Published Version)
2015 Elsevier
Keywords
  • Semantic web

  • Ontology

  • Performance managemen...

  • Linked data

DOI
10.1016/j.autcon.2015.05.002
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mechanical & Materials Engineering Research Collection
Scopus© citations
75
Acquisition Date
Feb 4, 2023
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Views
1627
Acquisition Date
Feb 4, 2023
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Downloads
1480
Last Month
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