Cumincad : CUMINCAD Papers : Paper caadria2022_169:An Integrated Parametric Generation and Computational Workflow to Support Sustainable City Planning

caadria2022_169

authors

Xu, Hang and Wang, Tsung-Hsien

year

2022

title

An Integrated Parametric Generation and Computational Workflow to Support Sustainable City Planning

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. 535-544

doi

https://doi.org/10.52842/conf.caadria.2022.1.535

summary

To examine how efforts in the built environment can contribute to global climate change mitigation at the urban scale, urban building energy modelling (UBEM) is one of the research areas gaining increasing interest in recent years. However, limited studies systematically illustrate a comprehensive UBEM workflow for most architects and urban planners considering available public datasets, particularly at the early conceptual design phase. In current UBEM studies, major challenges arise from the lack of fine-grained measured urban data and incompatibility between software. To address these challenges and support future sustainable cities and communities, this paper proposed a streamlined computational workflow of UBEM to facilitate sustainable urban design development. Through a case study of Sheffield in the UK, this paper demonstrated an automated and standardised computational workflow that can test the decarbonisation potential in built environments by evaluating energy demand and supply scenarios at an urban scale. This workflow is envisaged to be applicable at various scales of an urban region given an appropriate geographic information system (GIS) dataset.

keywords

Parametric Design Generation, Urban Sustainability, Urban Building Energy Modelling, Building Performance Simulation, Renewable Energy, Decarbonisation, SDG 11

series

CAADRIA

full text

file.pdf (4,870,043 bytes)

references

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Details	Citation	Select
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last changed

2022/07/22 07:34