The study confirms the impact of the thermal structure factor on heating energy usage through the interpretation of non-stationary heat transfer in composite walls using Green's function and the measurement of the magnitude of the thermal structure factor. The Energy Plus energy consumption simulation software was also employed to verify this effect. A proposed thermal structure factor, based on a theoretical analysis, reflects the order of material arrangement in each wall layer. This factor is specifically designed to improve the thermal characteristics and energy consumption analysis of the wall. Energy consumption simulation was then performed using energy analysis software. This was followed by field test research and analysis of heating energy consumption in energy efficient buildings. The beneficial research results provide guidance and implementation for current research and development in building energy efficiency.

Xin Zuo, Die Liu, Qiao Zeng, Yunrui Gao, Yuhang Zhang. Study of Thermal Energy Analysis of Composite Walls Based on Energy Plus Computational Simulation Method and Machine Learning. Academic Journal of Architecture and Geotechnical Engineering (2024) Vol. 6, Issue 1: 26-41. https://doi.org/10.25236/AJAGE.2024.060105.

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