| id |
caadria2022_33 |
| authors |
Alva, Pradeep, Mosteiro-Romero, Martin, Miller, Clayton and Stouffs, Rudi |
| year |
2022 |
| title |
Digital Twin-Based Resilience Evaluation of District-Scale Archetypes |
| source |
Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 525-534 |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.525
|
| summary |
District-scale energy demand models can be powerful tools for understanding interactions in complex urban areas and optimising energy systems in new developments. The process of coupling characteristics of urban environments with simulation software to achieve accurate results is nascent. We developed a digital twin through a web map application for a 170ha district-scale university campus as a pilot. The impact on the built environment is simulated with pandemic (COVID-19) and climate change scenarios. The former can be observed through varying occupancy rates and average cooling loads in the buildings during the lockdown period. The digital twin dashboard was built with visualisations of the 3D campus, real-time data from sensors, energy demand simulation results from the City Energy Analyst (CEA) tool, and occupancy rates from WiFi data. The ongoing work focuses on formulating a resilience assessment metric to measure the robustness of buildings to these disruptions. This district-scale digital twin demonstration can help in facilities management and planning applications. The results show that the digital twin approach can support decarbonising initiatives for cities. |
| keywords |
Digital twin, City Information Modelling, Planning Support System, energy demand model, SGD 11, SGD 13 |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,709,672 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/07/22 07:34 |
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