Publication Type
Journal Article
Version
publishedVersion
Publication Date
11-2024
Abstract
With the increasing stock of ageing infrastructure and resource constraints in Singapore, related risks and carbon emissions can be mitigated through long-term resilience planning, automated building inspection, and effective maintenance. Sustainable actions are needed to maintain Singapore's ageing infrastructure. Hence, a state-of-the-art control and management system is required in the form of smart city digital tools. We introduce an Urban Digital Twin (UDT)—GHG App for decision-makers in Singapore's operational building greenhouse gas (GHG) emission mitigation and decarbonisation initiatives. Based on multiple-criteria decision analysis (MCDA), a Potential for Intervention (PFI) map was created to rejuvenate the building system. Decision-makers can use this map to prioritise the rejuvenation of low-carbon building systems in the built environment. A heat map of the PFI results highlights which buildings need urgent rejuvenation based on critical parameters. The GHG App utilises this method to generate maps and enables users to modify parameter weights based on their priorities, automatically updating the map. Users can plan an intervention for buildings with higher PFI values once the map is generated. The GHG App provides interactive data visualisation of 119,872 features representing Singapore's built environment, including the context size of 6,785 existing residential buildings modelled and used to demonstrate the analysis results. Our research findings can contribute to the development of standards for accounting for operational GHG emissions, setting emission limits, and planning decarbonisation in the built environment sector.
Keywords
Demand-driven controls, Flexible work arrangements, Urban building energy modeling, Data-driven occupancy modeling
Discipline
Energy Policy | Engineering
Research Areas
Integrative Research Areas
Publication
Energy and Buildings
Volume
322
First Page
1
Last Page
16
ISSN
0378-7788
Identifier
10.1016/j.enbuild.2024.114681
Publisher
Elsevier
Citation
ALVA, Pradeep; MOSTEIRO-ROMERO, Martín; MILLER, Clayton; and STOUFFS, Rudi.
Mitigating operational greenhouse gas emissions in ageing residential buildings using an Urban Digital Twin dashboard. (2024). Energy and Buildings. 322, 1-16.
Available at: https://ink.library.smu.edu.sg/cis_research/563
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.enbuild.2024.114681