Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3770 - 3770

Published: Nov. 26, 2024

To optimize the outdoor thermal comfort and sunlight hours of elderly residential areas in cold regions China, we collected data on streets building forms from 121 sites Beijing. Utilizing parametric modeling tools to generate ideal models, a multi-objective optimization algorithm was applied identify 144 Pareto solutions. The optimal solutions were analyzed using K-means clustering Pearson correlation analysis examine how block form affects environmental performance. universal climate index (UTCI) summer showed significant positive correlations (r > 0.72) with distance between buildings (DB), density (BD), shape coefficient (SC), variation for height (CVH), negative < −0.82) average (AH), floor area ratio (FAR), volume (VAR), mean (MA), (AV), open space (OSR). Winter UTCI significantly positively correlated AH, FAR, VAR, MA, AV 0.83) negatively DB, porosity (PO), SC, CVH −0.88). Sunlight PO, OSR, 0.84) BD, 0.88). Courtyard point-building configurations performed best across all objectives. (The value r, Pearson’s coefficient, ranges −1 +1. r = +1: Perfect correlation, −1: 0: No linear correlation)

Language: Английский