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Artificial neural networks to predict daylight illuminance in office buildings
A prediction model was developed to determine daylight illuminance for the office buildings by using artificial neural networks (ANNs). Illuminance data were collected for 3 months by applying a field measuring method. ...
High-resolution data-driven models of Daylight Redirection Components
(TU Delft Open, 2017-05)
Daylight Redirecting Components (DRCs) guide daylight to zones with insufficient daylight exposure. They reduce energy demand for lighting, heating and cooling, and improve visual and thermal comfort. The data-driven model ...
Comparison of measured and computed BSDF of a daylight redirecting component
The Bidirectional Scatter Distribution Function (BSDF) of a selected Daylight Redirecting Component (DRC) is computed by a virtual goniophotometer using the enhanced photon map extension in Radiance, and compared to ...