Manuel Davila Delgado Manuel.Daviladelgado@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence
BIM data model requirements for asset monitoring and the circular economy
Davila Delgado, Juan Manuel; Oyedele, Lukumon O.
Authors
Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management
Abstract
© 2020, Emerald Publishing Limited. Purpose: The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and efficient data exchange which underpins the successful implementation of a circular economy. One of the largest opportunities to reduce the total life cycle cost of a built asset is to use the building information modelling (BIM) approach during the operational phase because it represents the largest share of the entire cost. BIM models that represent the actual conditions and performance of the constructed assets can boost the benefits of the installed monitoring systems and reduce maintenance and operational costs. Design/methodology/approach: This paper presents a horizontal investigation of current BIM data models and their use for describing circular economy principles and performance monitoring of built assets. Based on the investigation, an extension to the industry foundation classes (IFC) specification, recommendations and guidelines are presented which enable to describe circular economy principles and asset monitoring using IFC. Findings: Current open BIM data models are not sufficiently mature yet. This limits the interoperability of the BIM approach and the implementation of circular economy principles. An overarching approach to extend the current standards is necessary, which considers aspects related to not only modelling the monitoring system but also data management and analysis. Originality/value: To the authors’ best knowledge, this is the first study that identifies requirements for data model standards in the context current linear economic model of making, using and disposing is growing unsustainably far beyond the finite limits of planet of a circular economy. The results of this study set the basis for the extension of current standards required to apply the circular economy precepts.
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 27, 2020 |
Online Publication Date | Apr 13, 2020 |
Publication Date | Aug 26, 2020 |
Deposit Date | Mar 17, 2020 |
Publicly Available Date | May 14, 2020 |
Journal | Journal of Engineering, Design and Technology |
Print ISSN | 1726-0531 |
Publisher | Emerald |
Peer Reviewed | Peer Reviewed |
Volume | 18 |
Issue | 5 |
Pages | 1269-1285 |
DOI | https://doi.org/10.1108/JEDT-10-2019-0284 |
Keywords | Data Modelling Standards; Circular Economy; Monitoring Systems; IFC; BIM |
Public URL | https://uwe-repository.worktribe.com/output/5685678 |
Files
PDF Proof
(788 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc/4.0/
Copyright Statement
This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.
You might also like
Big data platform for health and safety accident prediction
(2018)
Journal Article
Automated design studies: Topology versus One-Step Evolutionary Structural Optimisation
(2013)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search