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This research deals with the effect of surrounding building parameters on the thermal loads and daylight autonomy (DA) of a single story house. The aim of this research is to better understand the effect of surrounding buildings before construction and to provide design strategies and recommendations that will guide future residential building planning and promote the development of energy-efficient urban environments. The study was conducted by means of dynamic urban and building parameters, such as surrounding building spacing, heights, and emplacement, the study employs a comprehensive simulation methodology, using Rhino and Grasshopper plugins for building modeling, EnergyPlus for energy simulation, and Radiance for daylight analysis. These simulations results highlight the critical role of building placement and urban morphology in energy efficiency and DA. Some scenarios led to a 56% decrease in the cooling energy need and a significant reduction in DA.

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Assessing the Impact of Urban Morphology on Residential Building Energy Efficiency and Daylight Autonomy

  • 会议论文

  • 发表日期：

    2026年

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  • Safae Oulmouden,
  • Hassan Radoine,
  • Brahim Benhamou

摘要

This research deals with the effect of surrounding building parameters on the thermal loads and daylight autonomy (DA) of a single story house. The aim of this research is to better understand the effect of surrounding buildings before construction and to provide design strategies and recommendations that will guide future residential building planning and promote the development of energy-efficient urban environments. The study was conducted by means of dynamic urban and building parameters, such as surrounding building spacing, heights, and emplacement, the study employs a comprehensive simulation methodology, using Rhino and Grasshopper plugins for building modeling, EnergyPlus for energy simulation, and Radiance for daylight analysis. These simulations results highlight the critical role of building placement and urban morphology in energy efficiency and DA. Some scenarios led to a 56% decrease in the cooling energy need and a significant reduction in DA.