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This study tackles high energy use in aging courtyard-style residences in China’s cold regions, proposing an AI-enhanced renovation framework with XGBoost and energy simulations. Focusing on Tongchuan City, we analyzed 800 design variants, finding that a north-facing window-to-wall ratio of 0.2 cuts heating energy by 28.8%, and a compact layout (floor area ratio ≥2.5) saves 26.5% total energy. The XGBoost model excels in energy prediction, supporting a low-carbon strategy: limit north-facing windows, favor south openings, and cluster courtyards. This approach guides urban renewal for China’s carbon goals while preserving heritage.

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Renovation of Courtyard-Style Residential Areas Toward the Carbon Neutrality Target: A Case Study of Tongchuan City Based on XGBoost and Energy Consumption Simulation

  • 会议论文

  • 发表日期：

    2026年

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  • Jingxuan Li,
  • Zhixiang Zhao,
  • Yunsha Jin,
  • Yixin Tian

摘要

This study tackles high energy use in aging courtyard-style residences in China’s cold regions, proposing an AI-enhanced renovation framework with XGBoost and energy simulations. Focusing on Tongchuan City, we analyzed 800 design variants, finding that a north-facing window-to-wall ratio of 0.2 cuts heating energy by 28.8%, and a compact layout (floor area ratio ≥2.5) saves 26.5% total energy. The XGBoost model excels in energy prediction, supporting a low-carbon strategy: limit north-facing windows, favor south openings, and cluster courtyards. This approach guides urban renewal for China’s carbon goals while preserving heritage.