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In Japan, the pursuit of carbon neutrality necessitates a substantial reduction in building energy consumption alongside the proactive integration of renewable energy sources. This study evaluates the effectiveness of a 3D modeling approach in estimating energy demand across multiple buildings. A 3D building model was developed using GIS data, site surveys, and open datasets to extract critical parameters, such as window-to-wall ratio. Subsequently, indoor environmental conditions, HVAC system specifications, and other relevant factors were incorporated to simulate energy consumption under various conditions. Despite employing a consistent methodology, the accuracy of simulations varied among buildings. Further analysis identified key determinants of accuracy, including the precision of 3D modeling, the functional use of buildings, and the definition of envelope performance parameters. These findings underscore the importance of high-quality data acquisition and parameter calibration in energy simulations. The insights gained contribute to the advancement of simulation methodologies, ultimately supporting more effective energy management and sustainable urban planning.

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Research on 3D Modeling for Thermal Environment Simulation Using Publicly Available Map Data

  • 会议论文

  • 发表日期：

    2026年

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  • Kazuma Otani,
  • Taro Mori,
  • Hisato Osawa,
  • Konatsu Suzuki

摘要

In Japan, the pursuit of carbon neutrality necessitates a substantial reduction in building energy consumption alongside the proactive integration of renewable energy sources. This study evaluates the effectiveness of a 3D modeling approach in estimating energy demand across multiple buildings. A 3D building model was developed using GIS data, site surveys, and open datasets to extract critical parameters, such as window-to-wall ratio. Subsequently, indoor environmental conditions, HVAC system specifications, and other relevant factors were incorporated to simulate energy consumption under various conditions. Despite employing a consistent methodology, the accuracy of simulations varied among buildings. Further analysis identified key determinants of accuracy, including the precision of 3D modeling, the functional use of buildings, and the definition of envelope performance parameters. These findings underscore the importance of high-quality data acquisition and parameter calibration in energy simulations. The insights gained contribute to the advancement of simulation methodologies, ultimately supporting more effective energy management and sustainable urban planning.