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Building Performance Objectives such as, Energy Performance Index (EPI), Useful Daylight Illuminance (UDI), and thermal comfort, are key factors in the performance simulations. Various studies have indicated that the interaction of building variables, such as the Window Wall Ratio (WWR), shade depth, aspect ratio, and material properties, significantly affects thermal comfort and energy efficiency, and these effects vary across different typologies and climatic regions. This study offers a comprehensive design approach that integrates a generative design process with multi-objective optimization (MOO) of building performance, from the initial stage to the final stage, for an institutional building situated in the warm and humid climate zone of Chennai. This multifunctional building is assumed to accommodate lecture halls, design studios, workshops, offices, etc. The performance objectives are to maximize UDI, Minimize EPI, reduce direct solar radiation, and achieve optimal thermal comfort. The workflow utilized Ladybug Tools (LBT) for Grasshopper with a cumulative simulation runtime of approximately 65 h. The optimized detailed design showed a 20% improvement in the UDI and 94% improvement in the UDI UP (> 2000 lx). Gross area and energy zone type significantly affected the EPI metric. By varying the wall material and glazing properties in the detailed design, the average operative temperature was reduced from 2 to 3 °C compared to the base case, and from 6 to 8 °C from the peak dry-bulb temperature. The findings of this study will benefit all stakeholders by enhancing optimized design solutions in tropical climates.

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An Exploration of Performance-Based Architectural Design Using Generative Design: Framework for Design Development from Early to Detailed Design Stages

  • 会议论文

  • 发表日期：

    2026年

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  • Hari Venkatesan,
  • Saravanan Srinivasan,
  • S. Subhashini

摘要

Building Performance Objectives such as, Energy Performance Index (EPI), Useful Daylight Illuminance (UDI), and thermal comfort, are key factors in the performance simulations. Various studies have indicated that the interaction of building variables, such as the Window Wall Ratio (WWR), shade depth, aspect ratio, and material properties, significantly affects thermal comfort and energy efficiency, and these effects vary across different typologies and climatic regions. This study offers a comprehensive design approach that integrates a generative design process with multi-objective optimization (MOO) of building performance, from the initial stage to the final stage, for an institutional building situated in the warm and humid climate zone of Chennai. This multifunctional building is assumed to accommodate lecture halls, design studios, workshops, offices, etc. The performance objectives are to maximize UDI, Minimize EPI, reduce direct solar radiation, and achieve optimal thermal comfort. The workflow utilized Ladybug Tools (LBT) for Grasshopper with a cumulative simulation runtime of approximately 65 h. The optimized detailed design showed a 20% improvement in the UDI and 94% improvement in the UDI UP (> 2000 lx). Gross area and energy zone type significantly affected the EPI metric. By varying the wall material and glazing properties in the detailed design, the average operative temperature was reduced from 2 to 3 °C compared to the base case, and from 6 to 8 °C from the peak dry-bulb temperature. The findings of this study will benefit all stakeholders by enhancing optimized design solutions in tropical climates.