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The dynamic impact of window characteristics on shading factor and energy consumption

Abstract Together with the evolution of the daylight introduction into building facade systems, energy consumption assessment becomes more and more crucial to evaluate the synthetic performance. Traditional method for evaluating the shading effect was not sufficient to consider the dynamic lighting and energy performance of window configurations due to the varying sun position. In this paper, the field measurements combined with lighting and energy simulations were carried out to explore the optimization of window configurations and characteristics. The shading factors for complex configurations were inspected by field measurements conducted within a lighting sphere, as well as a scaled physical model. It resulted that the complex configurations provided higher energy performance and enough light transmission. Furthermore a new method which integrated the shading factor and solar heat gain coefficient was proposed to investigate the dynamic shading effect of different window configurations. The following energy analysis on a full size building was conducted in e-Quest for energy consumption evaluation. It predicted the considerable potential energy conservation for windows with dynamic solar heat gain coefficient, which encourages the architects to introduce the novel independent design proposal for windows.
- Shanghai Jiao Tong University China (People's Republic of)
- Shanghai Jiao Tong University China (People's Republic of)
- University of Michigan–Flint United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
