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The increasing adoption of Building Information Modelling (BIM) has accelerated the need for efficient workflows in generating Building Energy Models (BEM). However, inconsistencies in BIM modelling practices create challenges in directly utilizing BIM data for energy simulations due to variations in geometry, metadata, and spatial definitions. To address this gap, we introduce the Sustainable Analytical Model (SAM), developed in.NET C#, which provides a flexible, semi-automated approach to transforming BIM data into energy models while minimising manual interventions. SAM enables various model-generation methods – including 2D outlines, boundary representations (BREPs), and planar panels – to ensure compatibility with different BIM workflows. For example, the Revit.SAMAnalyticalByType component automatically converts architectural BIM elements (such as walls, floors, and roofs) into simplified analytical panels. These panels are then merged and cleaned using the Solver and SAMAnalytical.CreateShells components to form watertight volumes required for energy simulation. Additionally, SAM integrates with validated energy simulation engines such as Tas EDSL and OpenStudio (via Ladybug Tools), facilitating comprehensive energy performance analysis, load sizing, and HVAC simulations. SAM’s modular framework and operation in Grasshopper support custom BIM workflows and enhance interoperability across platforms (Revit, Rhino, etc.). This adaptability allows architects and engineers to reuse existing BIM data efficiently, reducing redundancy and improving modelling accuracy.By bridging BIM and BEM with an integrated and automated workflow, SAM enhances interdisciplinary collaboration in sustainable design. The tool reduces manual workload, streamlines model conversion, and ensures consistency across various modelling approaches. Its open-source nature empowers researchers and industry professionals to extend its functionalities, fostering advancements in energy-efficient building design. By optimising model accuracy, minimising manual effort, and enhancing multi-platform compatibility, SAM offers a practical and scalable approach for architects, engineers, and sustainability consultants in the pursuit of high-performance building design.

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Bridging BIM and BEM: Efficient Generation of Building Energy Models Using the Sustainable Analytical Model (SAM)

  • 会议论文

  • 发表日期：

    2026年

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  • Michal Dengusiak,
  • Jakub Ziolkowski

摘要

The increasing adoption of Building Information Modelling (BIM) has accelerated the need for efficient workflows in generating Building Energy Models (BEM). However, inconsistencies in BIM modelling practices create challenges in directly utilizing BIM data for energy simulations due to variations in geometry, metadata, and spatial definitions. To address this gap, we introduce the Sustainable Analytical Model (SAM), developed in.NET C#, which provides a flexible, semi-automated approach to transforming BIM data into energy models while minimising manual interventions. SAM enables various model-generation methods – including 2D outlines, boundary representations (BREPs), and planar panels – to ensure compatibility with different BIM workflows. For example, the Revit.SAMAnalyticalByType component automatically converts architectural BIM elements (such as walls, floors, and roofs) into simplified analytical panels. These panels are then merged and cleaned using the Solver and SAMAnalytical.CreateShells components to form watertight volumes required for energy simulation. Additionally, SAM integrates with validated energy simulation engines such as Tas EDSL and OpenStudio (via Ladybug Tools), facilitating comprehensive energy performance analysis, load sizing, and HVAC simulations. SAM’s modular framework and operation in Grasshopper support custom BIM workflows and enhance interoperability across platforms (Revit, Rhino, etc.). This adaptability allows architects and engineers to reuse existing BIM data efficiently, reducing redundancy and improving modelling accuracy.By bridging BIM and BEM with an integrated and automated workflow, SAM enhances interdisciplinary collaboration in sustainable design. The tool reduces manual workload, streamlines model conversion, and ensures consistency across various modelling approaches. Its open-source nature empowers researchers and industry professionals to extend its functionalities, fostering advancements in energy-efficient building design. By optimising model accuracy, minimising manual effort, and enhancing multi-platform compatibility, SAM offers a practical and scalable approach for architects, engineers, and sustainability consultants in the pursuit of high-performance building design.