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To address the conflict between high energy consumption in large WWR designs and poor thermal-visual comfort in small WWR designs, an adaptive variable WWR intelligent envelope system was developed. A cost-effective guided sliding mechanism enables dynamic WWR adjustment via motor-driven insulation panels. Modified phenolic foam (MPF) and extruded polystyrene (XPS) were selected for insulation based on thermal performance, market availability, and cost, achieving a U-value as low as 0.31 W/(m2·K). Reflective layers with different optical properties enhance seasonal adaptability. Intelligent control is realized through sensor-microprocessor integration and machine learning. Simulations and field tests demonstrate up to 35.7% energy savings, reduced indoor temperature fluctuations, and strong potential for application in ultra-low energy buildings.

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Design and Application of a Novel Intelligent Building Envelope with Adjustable Window-to-Wall Ratio

  • 会议论文

  • 发表日期：

    2025年

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  • Shijun Ni,
  • Cui Li

摘要

To address the conflict between high energy consumption in large WWR designs and poor thermal-visual comfort in small WWR designs, an adaptive variable WWR intelligent envelope system was developed. A cost-effective guided sliding mechanism enables dynamic WWR adjustment via motor-driven insulation panels. Modified phenolic foam (MPF) and extruded polystyrene (XPS) were selected for insulation based on thermal performance, market availability, and cost, achieving a U-value as low as 0.31 W/(m2·K). Reflective layers with different optical properties enhance seasonal adaptability. Intelligent control is realized through sensor-microprocessor integration and machine learning. Simulations and field tests demonstrate up to 35.7% energy savings, reduced indoor temperature fluctuations, and strong potential for application in ultra-low energy buildings.