An Integrated Parametric Generation And Computional Workflow To Support Sustainable City Planning

Hang Xu University of Sheffield
Tsung-Hsien Wang University of Sheffield

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, very few 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 respond to these challenges and address needs for supporting 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 potential of decarbonising in built environments by evaluating energy demand and supply scenarios at an urban scale. This workflow can be applied for different scales of a region with an appropriate geographic information system (GIS) dataset.

Keywords: Parametric Design, Urban Sustainability, Urban Building Energy Modelling, Building Performance Simulation, Renewable Energy, Decarbonisation

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