玻璃
热舒适性
日光
采光
建筑工程
能源消耗
太阳增益
多目标优化
被动式太阳能建筑设计
计算机科学
屋顶
建筑设计
模拟
环境科学
太阳能
土木工程
工程类
气象学
地理
物理
电气工程
光学
机器学习
作者
C. Zheng,Xu Wang,Ling Wang,Chunming Xu,Meng Liu,Anxiao Zhang
标识
DOI:10.1177/1420326x231194314
摘要
The dormitory building design is a comprehensive procedure that requires the integration of multiple objectives to meet the demands of occupants and society. However, building energy consumption and thermal and visual comfort are often contradictory during the preliminary design process. This study proposes a multi-objective optimization framework based on Pareto front solutions to optimize the energy, thermal and visual performance of dormitory buildings in a cold climate. Three typical spatial layouts and important design variables of dormitory buildings, including orientation, geometric dimension, window-to-wall ratio, U-value and solar heat gain coefficient of glazing, shading type, openable window area ratio and green roof are systematically discussed. The results show that compared to the reference design, the multi-objective optimization method can simultaneously reduce energy use density by 27%–46% and summer thermal discomfort time by 6%–10% and improve Useful Daylight Illuminance by 0%–5%. The potential for energy saving and thermal comfort of the double-sided corridor layout is the greatest, while the single-sided open corridor layout has the greatest daylighting potential. Furthermore, optimal ranges of design variables for different spatial layout types are recommended. Architects can choose appropriate space layout types and corresponding design variable values according to actual engineering needs towards a sustainable indoor built environment.
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