4.5 Article

The Impact of Detail, Shadowing and Thermal Zoning Levels on Urban Building Energy Modelling (UBEM) on a District Scale

期刊

ENERGIES
卷 15, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/en15041525

关键词

urban building energy model; UBEM; level of detail; LOD; shadowing; thermal zoning

资金

  1. Swedish Energy Agency (Energimyndigheten) via the E2B2 research programme [40846-2, 46896-1]

向作者/读者索取更多资源

This study analysed the impact of three traditionally implicit modeller choices on UBEM performance, namely the level of detail of buildings' geometry, thermal zoning, and the surrounding shadowing environment. The results showed that these factors had significant impacts at the building scale, while only the surrounding shadowing environment had a major effect at the district scale.
New modelling tools are required to accelerate the decarbonisation of the building sector. Urban building energy modelling (UBEM) has recently emerged as an attractive paradigm for analysing building energy performance at district and urban scales. The balance between the fidelity and accuracy of created UBEMs is known to be the cornerstone of the model's applicability. This study aimed to analyse the impact of traditionally implicit modeller choices that can greatly affect the overall UBEM performance, namely, (1) the level of detail (LoD) of the buildings' geometry; (2) thermal zoning; and (3) the surrounding shadowing environment. The analysis was conducted for two urban areas in Stockholm (Sweden) using MUBES-the newly developed UBEM. It is a bottom-up physics-based open-source tool based on Python and EnergyPlus, allowing for calibration and co-simulation. At the building scale, significant impact was detected for all three factors. At the district scale, smaller effects (<2%) were observed for the level of detail and thermal zoning. However, up to 10% difference may be due to the surrounding shadowing environment, so it is recommended that this is considered when using UBEMs even for district scale analyses. Hence, assumptions embedded in UBEMs and the scale of analysis make a difference.

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