Quantitative investigation through climate-based daylight metrics of visual comfort due to colorful glass and orosi windows in Iranian architecture

There are several alternatives to passive strategies in the early stages of the design process including orientation, window to wall ratio, shading device, material and colour that affect occupants’ visual comfort. However, applying simple traditional principles such as using colorful glasses for windows are effective in the optimizing of visual comfort at interior space. The main aim of the current research is investigating the appropriate colors to control direct sunlight for meeting visual comfort criteria based on climatic-luminance metrics. Which combination of them would be more effective for optimizing visual comfort in terms of daylight glare probability? In particular, how can combination of lattice frame and Iranian-Islamic pattern improve visual comfort based on aforementioned metrics? Quantitative approach for evaluating colorful glass daylight performance is relatively rare. Moreover, these studies applied laboratory measurements and numerical calculation for exploring colorful glass performance. However, parametric simulation provides an opportunity for investigating daylight performance of colored glass based on new perspectives. This research reintroduces the main application of colorful glass as a light controller in the window that considerably affects climatic-luminance based metrics containing daylight autonomy (DA), useful daylight illuminance (UDI), exceeded UDI and daylight glare probability (DGP). A combination of quantitative and qualitative research methods have been applied in order to generate hypotheses and then analyze them. Parametric simulation analysis proves that colored glass has the capability to improve occupant’s visual comfort during office time. Moreover, an appropriate combination of lattice frame and Iranian-Islamic patterns with colored glass in the Orosi window considerably depends on function, climate and occupant behaviour