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Simulation analysis of natural lighting of residential buildings in Xi'an, China

发布时间:2025-04-30  点击次数:

发布时间:2025-04-30

论文名称:Simulation analysis of natural lighting of residential buildings in Xi'an, China

发表刊物:Science of the Total Environment

摘要:The optimized design of natural lighting for residential buildings can greatly reduce lighting energy consumption
and improve indoor environmental quality as well as the physical and mental health of residents. Through the
DIALux simulation analysis, this paper analyses the importance of natural lighting factors in the Xi'an residential
area and analyses factors such as latitude, date,windowposition, building aspect ratio, building height and window
area. The study found that thewinter solstice (December 22) is themost unfavourable day for residential lighting in
Xi'an. Considering architectural beauty, building energy savings and natural lighting, the winter solstice is an effective
time to calculate thewindow area of residential buildings in Xi'an. The higher the latitude is, the larger thewindow
area required for the house. From April to August, the influence of latitude on window area is small; from
January to April and from August to December, latitude has a greater influence on window area. This paper establishes
a regression equation for residential window area in Xi'an and provides calculation tools for architects to
use when designing residential windows that provides a reference for the design of residential windows at the
same latitude (33° north latitude). Intelligent control strategies are put forward on natural lighting in residential
buildings forworking class families in this paper. An APP on smart phones is developed to realize the intelligent control
of curtains. In accordance with family daily routine, the opening width of curtains is controlled automatically
based on room functions and exterior illuminance, through which interior illuminance can be adjusted, indoor environmental
quality can be improved and energy consumption of HVAC system can be reduced.

合写作者:Zhen Meng, Du Yizhao, Hong Fenghuan, Bian Guangmeng

卷号:690(2019)

页面范围:197-208

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发表时间:2019-06-20

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