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<p>The building industry accounts for a significant portion of global energy consumption and greenhouse gas emissions, highlighting the importance of climate-adaptive, energy-optimized design strategies. This study assesses the integration of building information modeling (BIM) with sustainability metrics to achieve climate-responsive building performance that aligns with architecture 2030 (ARCH2030) criteria. Using autodesk revit and insight 360, simulations were conducted for office buildings in two distinct climates—Egypt (hot climate) and Indiana, USA (cold climate). After implementing ARCH2030 optimizations, energy utilization was reduced by 46% in hot areas and 50% in cold climates. Key design characteristics, such as HVAC types, wall structure, and operating schedules, were identified as key contributors to these energy reductions. The study also emphasizes the difference in impact of solar panel optimizations (e.g., surface coverage) in hot regions versus infiltration control in cold climates. While the results are promising, the study is limited to specific building types and climates and may not capture real-world variability. This study provides actionable insights and informs future research to broaden the scope of sustainable building design.</p>

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Optimizing building energy performance using BIM and climate-driven site data

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月26日

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  • Elsayed Salem,
  • Emad Elwakil

摘要

The building industry accounts for a significant portion of global energy consumption and greenhouse gas emissions, highlighting the importance of climate-adaptive, energy-optimized design strategies. This study assesses the integration of building information modeling (BIM) with sustainability metrics to achieve climate-responsive building performance that aligns with architecture 2030 (ARCH2030) criteria. Using autodesk revit and insight 360, simulations were conducted for office buildings in two distinct climates—Egypt (hot climate) and Indiana, USA (cold climate). After implementing ARCH2030 optimizations, energy utilization was reduced by 46% in hot areas and 50% in cold climates. Key design characteristics, such as HVAC types, wall structure, and operating schedules, were identified as key contributors to these energy reductions. The study also emphasizes the difference in impact of solar panel optimizations (e.g., surface coverage) in hot regions versus infiltration control in cold climates. While the results are promising, the study is limited to specific building types and climates and may not capture real-world variability. This study provides actionable insights and informs future research to broaden the scope of sustainable building design.