Smart City Gnosys

Smart city article details

Title	Mitigating Operational Greenhouse Gas Emissions In Ageing Residential Buildings Using An Urban Digital Twin Dashboard
ID_Doc	37150
Authors	Alva P.; Mosteiro-Romero M.; Miller C.; Stouffs R.
Year	2024
Published	Energy and Buildings, 322
DOI	http://dx.doi.org/10.1016/j.enbuild.2024.114681
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. © 2024 The Authors
Author Keywords	Energy modelling; Smart cities semantics; Urban analytics

Similar Articles

Id	Similarity	Authors	Title	Published
24393	0.919	Alva P.; Mosteiro-Romero M.; Stouffs R.	Estimating Operational Greenhouse Gas Emissions In The Built Environment Using An Urban Digital Twin: Sustainable City Management Tool For Decarbonisation Of Cities	Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia, 2 (2024)
12797	0.873	Alva P.; Mosteiro-Romero M.; Pei W.; Bartolini A.; Yuan C.; Stouffs R.	Bottom-Up Approach For Creating An Urban Digital Twin Platform And Use Cases: A City Energy System Dataset Visualisation And Query	Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia, 1 (2023)
22926	0.871	Elnour M.; Ahmad A.M.; Abdelkarim S.; Fadli F.; Naji K.	Empowering Smart Cities With Digital Twins Of Buildings: Applications And Implementation Considerations Of Data-Driven Energy Modelling In Building Management	Building Services Engineering Research and Technology, 45, 4 (2024)
54212	0.868	Bibri S.E.; Huang J.; Omar O.; Kenawy I.	Synergistic Integration Of Digital Twins And Zero Energy Buildings For Climate Change Mitigation In Sustainable Smart Cities: A Systematic Review And Novel Framework	Energy and Buildings, 333 (2025)
57781	0.868	Ulpiani G.; Vetters N.; Maduta C.	Towards (Net) Zero Emissions In The Stationary Energy Sector: A City Perspective	Sustainable Cities and Society, 97 (2023)
9850	0.865	Omrany H.; Al-Obaidi K.M.	Application Of Digital Twin Technology For Urban Heat Island Mitigation: Review And Conceptual Framework	Smart and Sustainable Built Environment (2024)
17460	0.863	Li J.; Shirowzhan S.; Pignatta G.; Sepasgozar S.M.E.	Data-Driven Net-Zero Carbon Monitoring: Applications Of Geographic Information Systems, Building Information Modelling, Remote Sensing, And Artificial Intelligence For Sustainable And Resilient Cities	Sustainability (Switzerland), 16, 15 (2024)
23402	0.861	Pincetl S.; Gustafson H.; Federico F.; Fournier E.D.; Cudd R.; Porse E.	Energy Use In Cities: A Roadmap For Urban Transitions	Energy Use in Cities: A Roadmap for Urban Transitions (2020)
22909	0.859	Sun B.; Chen K.; Chen Z.; Wang C.; Yan Y.; Tang J.; Liu Y.	Empowering Community-Scale Carbon Accounting With Digital Twin Technology: Current Needs, Development Trends, And Prospects; [数字孪生技术赋能社区尺度碳核算现实需求、发展趋势与未来展望]	Journal of Geo-Information Science, 27, 7 (2025)
57065	0.858	Omrany H.; Mehdipour A.; Oteng D.; Al-Obaidi K.M.	The Uptake Of Urban Digital Twins In The Built Environment: A Pathway To Resilient And Sustainable Cities	Computational Urban Science, 5, 1.0 (2025)