This article presents a novel architecture by integrating the existing asset management theory with building simulation technology for effective maintenance strategies and operational control schemes. Building performance, value and energy usage collectively define the criteria for optimisation. Building assets are partially or fully connected with building internet of things and their real-time conditions are accessible at all times. An asset’s value is derived from the functional contributions of that asset to the overall business objective of the system that it is part of. The architecture consists of digital twin, analytics and business value mode engines and in-between gateways for data exchange. The paper provides illustrative examples for how the platform can serve the operations and maintenance objectives of existing and new buildings.
Article navigation
15 January 2022
Research Article|
January 15 2022
Improving building energy footprint and asset performance using digital twin technology
Mohsen A Jafari, PhD;
Department of Industrial and Systems Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
(corresponding author: jafari@soe.rutgers.edu)
Search for other works by this author on:
Ali Ghofrani, PhD;
Ali Ghofrani, PhD
Adjunct Professor
Department of Industrial and Systems Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
Search for other works by this author on:
Esmat Zaidan, PhD;
Esmat Zaidan, PhD
Associate Professor
Department of International Affairs, College of Arts and Sciences, Qatar University Doha, Qatar
Search for other works by this author on:
Ammar Abulibdeh, PhD
Ammar Abulibdeh, PhD
Assistant Professor
Department of Humanities, College of Arts and Sciences, Qatar University Doha, Qatar
Search for other works by this author on:
(corresponding author: jafari@soe.rutgers.edu)
Publisher: Emerald Publishing
Received:
April 07 2021
Accepted:
November 18 2021
Online ISSN: 2397-8759
ICE Publishing: All rights reserved
2022
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (2022) 174 (2): 57–65.
Article history
Received:
April 07 2021
Accepted:
November 18 2021
Citation
Jafari MA, Ghofrani A, Zaidan E, Abulibdeh A (2022), "Improving building energy footprint and asset performance using digital twin technology". Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Vol. 174 No. 2 pp. 57–65, doi: https://doi.org/10.1680/jsmic.21.00001
Download citation file:
Suggested Reading
BIM divide: an international comparative analysis of perceived barriers to implementation of BIM in the construction industry
Journal of Engineering, Design and Technology (October,2021)
Influence of cement/sand ratio on behavior of cement mortar
Journal of Engineering, Design and Technology (March,2015)
A multi-analytical model for mobile banking adoption: a developing country perspective
Review of International Business and Strategy (March,2017)
Urban development and the consequences for burglary
Community Safety Journal (April,2004)
A hybrid data analytic approach to predict college graduation status and its determinative factors
Industrial Management & Data Systems (September,2016)
Related Chapters
Sustainable selection of construction materials using machine learning: A review
Machine Learning in Civil Engineering and Infrastructure Development: A Practitioner's Handbook
Enhancing Agricultural Decision-making: The Smart Crop Recommendation System
Artificial Intelligence in Agriculture and Environmental Sustainability: A Global Perspective
Big Data Analytics Application and Enhanced FDI Prospects for the Insurance Sector
Big Data: A Game Changer for Insurance Industry
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
