Conference Paper
Proceedings of BSA Conference 2024: Sixth Conference of IBPSA-Italy
Simulator for Predicting Vertical Illuminance of Window With External Venetian Blind
Simulator for Predicting Vertical Illuminance of Window With External Venetian Blind
Seon-Young Heo, Young-sub Kim, Seon-Jung Ra, Cheol-Soo ParkDOI: https://doi.org/10.13124/9788860462022_06Abstract: Many studies have shown that by installing external Venetian blinds on the transparent envelope and utilizing daylight efficiently, we can reduce cooling and heating load and lighting energy and improve thermal and visual comfort. Among many studies, most of them use light sensors or whole-building simulation tools to derive and control illuminance that affects the indoor luminous environment. However, this requires the cost of sensor installation and a large amount of information and modeling effort for simulation. In addition, it is difficult to understand the relationship between the inflow of visible light, the slat angle of blind, and illuminance. Therefore, this study proposes a stand-alone daylighting simulator based on artificial neural network using the visible transmittance of the window with external Venetian blind. Using the developed simulator, it is possible to easily predict indoor vertical illuminance under changing external environment by reflecting natural light inflows with only some information of the system and major environmental factors without sensor installation or simulation modeling effort. In addition, due to the advantages of this simplicity, it can be easily used for model predictive control (MPC). Pages: 39 - 48 Paper: