The Conception of an Urban Energy Dashboard using 3D City Models

Würstle, P.; Santhanavanich, T.; Padsala, Rushikesh; Coors, Volker

doi:10.1145/3396851.3402650

Cited by 14 publications

(11 citation statements)

References 4 publications

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“…In order to build a low-carbon life, the energy dashboard based on 3D visualization technology displays both dynamic and static aspects. Cities of different sizes and different regions respectively send energy data streams to city management departments in real time [3] .…”

Section: Related Workmentioning

confidence: 99%

Overview of Energy Visualization Technologies for Smart Home

Yawen¹,

Yi²,

Cao³

et al. 2022

Preprint

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Section: Related Workmentioning

confidence: 99%

Overview of Energy Visualization Technologies for Smart Home

Yawen¹,

Yi²,

Cao³

et al. 2022

Preprint

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“…at a 10-minute frequency. Finally, Highcharts (a multiplatform charting JavaScript library) was used to display the simulation results and live data interactively on the dashboard (Chaturvedi & Kolbe, 2019;Würstle et al, 2020).…”

Section: Figure 1 Framework For the District-scale Digital Twin Dashb...mentioning

confidence: 99%

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2022

CAADRIA Proceedings

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The work collected in these volumes has been produced during extraordinary circumstances, as the Covid-19 pandemic has continued to impact working and living conditions. Papers have been written, reviewed and edited throughout lockdowns, challenging family situations and health crises. The high number of submissions and quality of the papers is a testament to the resilience and strength of the CAADRIA community.The papers in this publication have been selected through a two-stage, doubleblind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication. We thank all authors for their contributions to the process and congratulate the accepted paper authors.The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.Our special thanks go out to our more than 180 international reviewers, who volunteered their valuable time and effort. We also thank the organising team in Sydney for developing the 2022 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his support during the proceedings' final production stage, and for facilitating their publication via the open access database CumInCAD.org. Finally, we sincerely thank the CAADRIA community for offering us the honour to serve as members of the paper selection committee for Post-Carbon, the 27 th International CAADRIA Conference 2022.

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“…For computing the energy performance of the buildings, 3D geometrical data models are generally used as an input for building geometries, years of construction, building usages, roof types, etc. One such virtual 3D city model, particularly the Open Geospatial Consortium (OGC) standardised and open data format of City Geographical Markup Language (CityGML) [16,64], has provided a significant boost in the development and visualisation of urban energy data [65].…”

Section: State-of-the-artmentioning

confidence: 99%

Open-Source Tool for Transforming CityGML Levels of Detail

et al. 2021

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Urban Building Energy Modelling (UBEM) requires adequate geometrical information to represent buildings in a 3D digital form. However, open data models usually lack essential information, such as building geometries, due to a lower granularity in available data. For heating demand simulations, this scarcity impacts the energy predictions and, thereby, questioning existing simulation workflows. In this paper, the authors present an open-source CityGML LoD Transformation (CityLDT) tool for upscaling or downscaling geometries of 3D spatial CityGML building models. With the current support of LoD0–2, this paper presents the adapted methodology and developed algorithms for transformations. Using the presented tool, the authors transform open CityGML datasets and conduct heating demand simulations in Modelica to validate the geometric processing of transformed building models.

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The Conception of an Urban Energy Dashboard using 3D City Models

Cited by 14 publications

References 4 publications

Overview of Energy Visualization Technologies for Smart Home

Overview of Energy Visualization Technologies for Smart Home

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

Open-Source Tool for Transforming CityGML Levels of Detail

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