contemporizing and optimizing the patterns of iran’s traditional skylights (shabak) in using and improving the quality of daylight in office space

A large share of energy consumption in office buildings is due to lighting. energy efficiency improvements are currently attained through strategies that cut artificial lighting by intelligently utilizing daylight. providing daylight and controlling glare in office buildings has always posed significant challenges for designers. in this regard, skylights play a crucial role in enhancing building performance by improving both daylight efficiency and occupants’ visual comfort. the shabak skylight, one of iran’s architectural elements, significantly provides light and intelligently uses daylight. this study explores shabak skylight patterns that optimize performance to control daylight and glare transferred from windows. the research method of this study is descriptive and analytical. in addition to library and field studies, rhino software, grasshopper, ladybug, and honeybee plugins are used for simulation, and finally, a genetic algorithm is used for contemporizing and optimization. the results indicate that three main parameters (absorption point position, absorption impact radius, and scale of apertures) are effective in daylight gain, and variations in these parameters based on the optimized plan would lead to a 55% increase in useful illuminance of daylight and a 17.25% reduction in glare annually. the results of this study can be useful for applying these elements based on modern architecture regarding optimal optimization. by sharing their findings on the best methods to evaluate the performance of potential designs, this study will be valuable for architects designing light-transmitting wall and patterned shade screens in similar climates.