Evaluating the impact of high-resolution irradiation data on the daylight performance assessment of adaptive solar shading systems

Adaptive solar shading systems offer a dynamic solution to balance daylight availability and glare control in buildings. While building performance simulation methods are useful to understand the potential of these systems to improve daylight conditions in indoor spaces, it is unclear if established practices such as the use of hourly averaged climate data are sufficient to accurately estimate the benefits of adaptive solar shading in real-world conditions. This study investigates how the time resolution of irradiance data in simulation models affects the predicted performance of adaptive solar shading systems. To that end, a series of simulations for models with time resolutions from 1 to 60 min are run, and the results are compared to quantify the variation in daylight metrics between different resolutions. The outcome of this comparison study reveals that while hourly averaged irradiance data generally suffices for daylight performance estimations, it is also likely to overlook short-term periods of glare discomfort that would be present in high-resolution irradiance data. In the context of adaptive shading design, capturing these discomfort periods can be key to providing solutions that achieve specific visual comfort goals. This suggests that the need for high-resolution irradiance data is project-specific, which emphasizes the need for more tailored approaches in the representation of adaptive shading systems in early building design.