Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Mechanical and Materials Engineering
  4. Mechanical & Materials Engineering Research Collection
  5. Enhancing energy management at district and building levels via an EM-KPI ontology
 
  • Details
Options

Enhancing energy management at district and building levels via an EM-KPI ontology

Author(s)
Li, Yehong  
García-Castro, Raúl  
Nihindukulasooriya, Nandana  
O'Donnell, James  
Vega-Sánchez, Sergio  
Uri
http://hdl.handle.net/10197/10993
Date Issued
2019-03
Date Available
2019-08-19T10:58:55Z
Embargo end date
2020-12-20
Abstract
The use of information and communication technologies facilitates energy management (EM) at both district and building levels, but also generates a considerable amount of data. To gain insights into such data, it is essential to resolve the cross-domain data interoperability problem and determine an approach to exchange performance information and insightful data among various stakeholders. This paper developed an EM-KPI (key performance indicator) ontology to exchange key performance information and data for districts and buildings. The ontology contains two components: namely KPIs and EM master data; these, respectively, represent the multi-level performance information for energy performance tracking and the key data for data exploitation. Through a demonstration, a sample linked dataset generated using the data correlation predefined in the ontology is presented. The linked data analysis proves the feasibility of the ontology for exchanging data among different stakeholders and for exploring insights in relation to performance improvement.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Other Sponsorship
China Scholarship Council
Guangzhou Science and Technology Innovation Talent Project
UCD Energy Institute
Type of Material
Journal Article
Publisher
Elsevier
Journal
Automation in Construction
Volume
99
Start Page
152
End Page
167
Copyright (Published Version)
2018 Elsevier
Subjects

District

Building

Energy management

Stakeholders

Ontology

Linked data

DOI
10.1016/j.autcon.2018.12.010
Language
English
Status of Item
Peer reviewed
ISSN
0926-5805
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

2019_YehongLi- EMKPI_OntologyForDistribution.pdf

Size

2.68 MB

Format

Adobe PDF

Checksum (MD5)

2b3836a40d5682c2e0546fb37326a4fe

Owning collection
Mechanical & Materials Engineering Research Collection
Mapped collections
Energy Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement