Scholarlink

The Urban Heat Island (UHI) effect significantly influences building energy performance and carbon emissions, yet current building energy refurbishment often overlooks urban microclimate complexities. This study aims to evaluate both energy consumption and operational CO2 emissions of a residential building before and after retrofit interventions under different urban characteristics. The research employs a coupling simulation approach integrating urban parameters and building performance analysis. The methodology combines computational fluid dynamics (CFD) using ENVI-met 5.6 for microclimate and urban modelling with building energy simulation (BES) using DesignBuilder for energy and carbon emission analysis. Located in Amman, Jordan, where urbanisation and climate change are intensifying UHI effects, a case study target building, a typical two-story residential structure of 450 m2, is analysed in five strategic locations within an urban neighbourhood, each representing different density patterns and urban configurations. Cooling energy represents the dominant component (66–73%) of total energy consumption during peak summer conditions, with higher proportions in dense urban areas. The simulation framework incorporates local construction standards and evaluates retrofit scenarios, including envelope improvements, HVAC system upgrades, and passive cooling strategies. The context that affects both baseline performance and retrofit effectiveness is examined in terms of variations in energy consumption patterns and associated carbon emissions across different urban densities. This study contributes to the development of context-sensitive retrofit guidelines by establishing clear relationships between urban morphology, building energy performance, and environmental impact. Initial investigation indicates that the same building's energy consumption changes by 5 to 19% across different urban densities, owing mostly to the variations in wind velocity and surface temperatures affecting cooling demands. The implementation of retrofit strategies shows coordinated effectiveness across all urban contexts, with energy consumption reductions directly related to CO2 emission decreases ranging from 51 to 66% using the optimum retrofit strategies across the different urban densities, highlighting the significant effect of urban morphology on both building energy performance and environmental impact.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Building Cooling Energy Retrofitting in Urban Context Through Multi-scale Environmental Simulation

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Mohammad Hamdan,
  • Hamed Moradi,
  • Paria Saadatjoo,
  • Mahmoud Murtala,
  • Parham Mirzaei

摘要

The Urban Heat Island (UHI) effect significantly influences building energy performance and carbon emissions, yet current building energy refurbishment often overlooks urban microclimate complexities. This study aims to evaluate both energy consumption and operational CO2 emissions of a residential building before and after retrofit interventions under different urban characteristics. The research employs a coupling simulation approach integrating urban parameters and building performance analysis. The methodology combines computational fluid dynamics (CFD) using ENVI-met 5.6 for microclimate and urban modelling with building energy simulation (BES) using DesignBuilder for energy and carbon emission analysis. Located in Amman, Jordan, where urbanisation and climate change are intensifying UHI effects, a case study target building, a typical two-story residential structure of 450 m2, is analysed in five strategic locations within an urban neighbourhood, each representing different density patterns and urban configurations. Cooling energy represents the dominant component (66–73%) of total energy consumption during peak summer conditions, with higher proportions in dense urban areas. The simulation framework incorporates local construction standards and evaluates retrofit scenarios, including envelope improvements, HVAC system upgrades, and passive cooling strategies. The context that affects both baseline performance and retrofit effectiveness is examined in terms of variations in energy consumption patterns and associated carbon emissions across different urban densities. This study contributes to the development of context-sensitive retrofit guidelines by establishing clear relationships between urban morphology, building energy performance, and environmental impact. Initial investigation indicates that the same building's energy consumption changes by 5 to 19% across different urban densities, owing mostly to the variations in wind velocity and surface temperatures affecting cooling demands. The implementation of retrofit strategies shows coordinated effectiveness across all urban contexts, with energy consumption reductions directly related to CO2 emission decreases ranging from 51 to 66% using the optimum retrofit strategies across the different urban densities, highlighting the significant effect of urban morphology on both building energy performance and environmental impact.