文献类型：期刊文献

英文题名：Study on design optimization of thermal protection and moisture buffer for building envelope in the southern coastal area based on improved machine learning

作者：Wu, Lili[1];Fang, Aimin[1]

机构：[1]Guangdong Ocean Univ, Coll Ocean Engn & Energy, Zhanjiang 524088, Guangdong, Peoples R China

年份：2026

卷号：350

外文期刊名：ENERGY AND BUILDINGS

收录：SCI-EXPANDED(收录号：WOS:001607963000002)、、WOS

基金：This work was supported by the Doctoral Scientific Research Start-up Foundation of Guangdong Ocean University (060302072301), the Guangdong Ocean University Innovation and Entrepreneurship Training Program Project (010403072413) and the National Natural Science Foundation of China (52408245).

语种：英文

外文关键词：Heat and moisture coupling transfer; Thermal protection; Moisture buffer; Surrogate model; Optimization

外文摘要：The high temperature, high humidity and strong solar radiation environment in the southern coastal areas lead to problems such as the large building cooling load and the breeding of mold. Due to the complex heat and moisture coupling transfer process between the building envelope and the indoor and outdoor environment, the difficulty of simulating the building thermal and humidity environment is much greater than that of simulating the pure thermal environment. Although the calculation results of classical combined heat and moisture transfer (HAMT) model represented by the K & uuml;nzel model are accurate, the calculation process is complex and the efficiency is low. This study proposes a design optimization method for composite walls that integrates thermal protection, moisture regulation and economic analysis. Based on the support vector regression algorithm (SVR), the surrogate model for heat and moisture coupling transfer of building envelope and building energy consumption prediction is trained. The grid search method (GS-SVR) is introduced to optimize the hyperparameters to improve the accuracy of the surrogate model prediction. The surrogate model and optimization algorithm are adopted to design the exterior wall structure, thermal protection and moisture buffer regulation. The synergistic optimization relationship between the building wall material combination and thickness configuration and the building life cycle energy consumption (LCE) and life cycle cost (LCC) is explored. The combined performance of thermal protection materials such as expanded polystyrene board (EPS), reflective coating and humidity control material such as diatomite are compared and analyzed. The influence of wall thermal protection and moisture buffer design on building air conditioning energy consumption is revealed. A layered structure wall with external reflection, intermediate insulation and internal moisture buffer regulation is proposed. The results of the Pareto Frontier screening using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method indicate that the optimal solution for south-facing wall should adopt 0.9 reflectivity coating, 82 mm expanded polystyrene board and 25 mm diatomite layer. Different design strategies for walls facing different directions are also recommended. The research results provide theoretical basis and methodological support for the creation of indoor thermal and humidity environments and building energy efficiency.