Multi-objective optimal research on low-energy dwellings design based on genetic algorithm in Qinba mountain region, China

• Published in: Scientific reports Vol. 15; no. 1; pp. 6504 - 19
• Main Authors: Xu, Juan, Fang, Yanjie, Yang, Wenting, Lu, Ziliang, Wang, Xiaomin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.02.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/4077; Algorithms; Building shape; Clean energy; Energy conservation; Energy consumption; Energy efficiency; Genetic algorithm; Humanities and Social Sciences; Local culture; Low-energy dwelling; Mountain regions; Multi-objective optimization; multidisciplinary; Qinba mountainous area; Rural areas; Science; Science (multidisciplinary); Sensitivity analysis; China; Building shape; Qinba mountainous area; Multi-objective optimization; Low-energy dwelling; Genetic algorithm

Rural areas in China play a significant position in society, with traditional dwellings reflecting local culture and lifestyles. However, the energy consumption of these dwellings has not been thoroughly quantified, despite their importance in the low-carbon energy conservation efforts. This study e...