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The increasing number of large public buildings and their rising energy consumption underscore the urgency of optimizing transparent building envelopes to enhance the energy efficiency and achieve conservation and emission reduction goals. This study establishes a co-simulation platform integrating dynamic building performance simulation software (EnergyPlus) with genetic algorithms to optimize the parameters of transparent building envelopes, specifically focusing on a railway station. The optimization framework evaluates the impact of solar heat gain coefficients (SHGCs) and U-values of skylights and transparent curtain wall and shading structure opening ratio on energy consumption across different climatic zones. Results show that optimized designs achieved energy savings of up to 9.8% in Beijing, 4.9% in Chongqing, and 3.3% in Guangzhou, with significant reductions in cooling and heating energy consumption. The study demonstrates that multi-parameter optimization can effectively balance light and thermal performance, providing a comprehensive and efficient approach to sustainable architectural design in diverse climates.

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Optimization of Window and Shade Parameters of a Railway Station Integrating Physical Simulation and Genetic Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Yutao Sun,
  • Mingrui Liu,
  • Yayi Xian,
  • Ruiyuan Yang,
  • Yuxuan Zheng,
  • Yongning Qi,
  • Shuangdui Wu,
  • Hao Tang

摘要

The increasing number of large public buildings and their rising energy consumption underscore the urgency of optimizing transparent building envelopes to enhance the energy efficiency and achieve conservation and emission reduction goals. This study establishes a co-simulation platform integrating dynamic building performance simulation software (EnergyPlus) with genetic algorithms to optimize the parameters of transparent building envelopes, specifically focusing on a railway station. The optimization framework evaluates the impact of solar heat gain coefficients (SHGCs) and U-values of skylights and transparent curtain wall and shading structure opening ratio on energy consumption across different climatic zones. Results show that optimized designs achieved energy savings of up to 9.8% in Beijing, 4.9% in Chongqing, and 3.3% in Guangzhou, with significant reductions in cooling and heating energy consumption. The study demonstrates that multi-parameter optimization can effectively balance light and thermal performance, providing a comprehensive and efficient approach to sustainable architectural design in diverse climates.