所属单位：

资产经营公司

发表刊物：

buildings

关键字：

double-skin facades; control optimization model; random forest; whale optimization algorithm

摘要：

This study addresses the current difficulties in accurately controlling the indoor temperature of double-skin facades (DSFs), and its optimization, with a focus on the window opening angles of double-skin facades. The Spearman correlation coefficient method was used to select the main meteorological factors, including outdoor temperature, dew point temperature, scattered radiation, direct radiation, and window opening angle. A modified random forest algorithm was used to construct the optimization model and 80% of the data were used for model training. In the experiments, the average accuracy of the optimization model was as high as 93.5% for all window opening angles. This study provides a data-driven method for application to double-skin facades, which can effectively determine and control the window opening angles of double-skin facades to achieve energy saving and emission reduction, reduce indoor temperature, improve comfort, and provide a practical basis for decision-making. Future research will further explore the applicability and accuracy of the model under different climatic conditions.

合写作者：

宋俊伟,赵龙

第一作者：

孙晴,杜伊帆

论文类型：

期刊论文

通讯作者：

闫秀英

卷号：

2024,14,3045

是否译文：

否

发表时间：

2024-01-01