General morphological analysis of Orosi windows and morpho butterfly wing's principles for improving occupant's daylight performance through interactive kinetic façade

Daylight contains dynamic features such as color and intensity that may vary over time. The ideas of Orosi windows and biomimetic kinetic lessons of butterfly wings are viewed as essential tactics for regulating dynamic daylight. As a result, this research looks at a methodological technique for providing an appropriate combination of kinetic behavior and movement with colorful glass compositions to boost occupants' daylight performance. The research is being carried out using a multidisciplinary method that includes general morphological analysis (GMA) and a kinetic design strategy. The methodology uses GMA for parametric exploration between interconnected principles of Orosi windows and biomimetic lessons of Morpho butterfly wings to make a matrix of relationships between parameters. The kinetic façade changes the depth and scale of the hexagonal modular elements across a south direction in Iran. Moreover, the most optimal depth and scale of the hexagonal grid regarding the daylight performance metrics have been used to change the composition of colored glasses by periodic movements due to dynamic sun-timing and occupant's positions. The annual daylight metrics analysis of all kinetic alternatives represents high daylight performance by UDI, EUDI, sDA of 93.5, 6.29, and 78.37, respectively. The facade increases the amount of UDI up to 5.61 times regarding the base case while decreasing the amount of EUDI in the room by an average of 91.8%. Concerning predicting the risk of glare, as a point in time metric, the façade prevents visual discomfort by keeping most scenarios in the imperceptible range. •Integration of Orosi windows principles and biomimetic lessons of butterfly wings by GMA matrix.•Achieving daylight performance by integration of kinetic behavior and colored glass composition.•The GMA matrix and restriction criteria lead to a meaningful exploration of kinetic façade.•Several unique relationships of interconnected parameters in GMA matrix can be identified.