Description
Shading control strategies are nowadays employed in office environments to improve the visual comfort of the user. These strategies are often solely illuminance- based whereas comfort metrics as the Daylight Glare Probability (DGP) also need luminance values. In previous studies, daylight glare has been assessed by calculating the DGP from luminance maps obtained via a luminance camera or from a High Dynamic Range (HDR) image obtained with a commercially available camera. These detectors are traditionally mounted close to the user and aligned with the viewing direction. In real office environments, this camera position is impractical, and real life experiments based on machine learning techniques have shown a relation between the DGP from an observer’s viewpoint and the DGP calculated from a ceiling camera. The sun position was shown to be an informative additional input for correlating the two DGP values. At the moment, this research investigates if adding publicly available weather information (e.g. cloud coverage) improves the predicted DGP values. Future work will consist of testing the prediction method on different window orientations.| Periode | 18 nov 2021 |
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| Evenementstitel | Daylight Academic Forum |
| Evenementstype | Seminar |