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

  • Edward Corry
  • , Pieter Pauwels
  • , Shushan Hu
  • , Marcus Keane
  • , James O'Donnell

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

106 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)249-259
Number of pages11
JournalAutomation in Construction
Volume57
DOIs
Publication statusPublished - 11 Aug 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Buildings
  • Linked data
  • Ontology
  • Performance management
  • Semantic web

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