Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot

Pradeep Alva; Martín Mosteiro-Romero; Clayton Miller; Rudi Stouffs

doi:10.52842/conf.caadria.2022.1.525

Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot

Pradeep Alva^*, Martín Mosteiro-Romero, Clayton Miller, Rudi Stouffs

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1
Subtitle of host publication	Proceedings of the 27th CAADRIA Conference
Editors	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth
Publisher	CAADRIA
Pages	525-534
Number of pages	10
ISBN (Print)	9789887891772
DOIs	https://doi.org/10.52842/conf.caadria.2022.1.525
Publication status	Published - 2022
Externally published	Yes
Event	CAADRIA 2022 Computer-Aided Architectural Design Research in Asia: Post-Carbon - Sydney, Australia Duration: 9 Apr 2022 → 15 Apr 2022 https://caadria2022.org/

Publication series

Name	Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
ISSN (Print)	2710-4257
ISSN (Electronic)	2710-4265

Conference

Conference	CAADRIA 2022 Computer-Aided Architectural Design Research in Asia: Post-Carbon
Abbreviated title	CAADRIA 2022
Country/Territory	Australia
City	Sydney
Period	9/04/22 → 15/04/22
Internet address	https://caadria2022.org/

Keywords

digital twin
city information modelling
planning support system
energy demand model
SDG 11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.52842/conf.caadria.2022.1.525

Cite this

Alva, P., Mosteiro-Romero, M., Miller, C., & Stouffs, R. (2022). Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot. In J. van Ameijde, N. Gardner, K. H. Hyun, D. Luo, & U. Sheth (Eds.), POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1: Proceedings of the 27th CAADRIA Conference (pp. 525-534). (Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia). CAADRIA. https://doi.org/10.52842/conf.caadria.2022.1.525

Alva, Pradeep ; Mosteiro-Romero, Martín ; Miller, Clayton et al. / Digital Twin-Based Resilience Evaluation of District-Scale Archetypes : A COVID-19 Scenario Case Study Using a University Campus Pilot. POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1: Proceedings of the 27th CAADRIA Conference. editor / Jeroen van Ameijde ; Nicole Gardner ; Kyung Hoon Hyun ; Dan Luo ; Urvi Sheth. CAADRIA, 2022. pp. 525-534 (Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia).

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title = "Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot",

abstract = "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.",

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author = "Pradeep Alva and Mart{\'i}n Mosteiro-Romero and Clayton Miller and Rudi Stouffs",

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booktitle = "POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1",

note = "CAADRIA 2022 Computer-Aided Architectural Design Research in Asia: Post-Carbon, CAADRIA 2022 ; Conference date: 09-04-2022 Through 15-04-2022",

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Alva, P, Mosteiro-Romero, M, Miller, C & Stouffs, R 2022, Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot. in J van Ameijde, N Gardner, KH Hyun, D Luo & U Sheth (eds), POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1: Proceedings of the 27th CAADRIA Conference. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA, pp. 525-534, CAADRIA 2022 Computer-Aided Architectural Design Research in Asia: Post-Carbon, Sydney, Australia, 9/04/22. https://doi.org/10.52842/conf.caadria.2022.1.525

Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot. / Alva, Pradeep; Mosteiro-Romero, Martín; Miller, Clayton et al.
POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1: Proceedings of the 27th CAADRIA Conference. ed. / Jeroen van Ameijde; Nicole Gardner; Kyung Hoon Hyun; Dan Luo; Urvi Sheth. CAADRIA, 2022. p. 525-534 (Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Mosteiro-Romero, Martín

AU - Miller, Clayton

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AB - 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.

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KW - SDG 11

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DO - 10.52842/conf.caadria.2022.1.525

M3 - Conference contribution

SN - 9789887891772

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Alva P, Mosteiro-Romero M, Miller C, Stouffs R. Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot. In van Ameijde J, Gardner N, Hyun KH, Luo D, Sheth U, editors, POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1: Proceedings of the 27th CAADRIA Conference. CAADRIA. 2022. p. 525-534. (Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia). doi: 10.52842/conf.caadria.2022.1.525

Digital Twin-Based Resilience Evaluation of District-Scale Archetypes: A COVID-19 Scenario Case Study Using a University Campus Pilot

Abstract

Publication series

Conference

Keywords

UN SDGs

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