TY - GEN
T1 - Sensitivity Analysis on Daylighting, Visual Comfort, and Energy Consumption of Automated Venetian Blinds for Open-Plan Offices in Tropical Climate
AU - Primanti, Aishanura H.
AU - Mangkuto, R.A.
AU - Koerniawan, M. Donny
AU - Loonen, Roel C.G.M.
AU - de Vries, Samuel B.
PY - 2019
Y1 - 2019
N2 - This paper presents a comprehensive sensitivity analysis on daylighting, visual comfort, and energy consumption of automated venetian blinds for open-plan offices. This research is using an integrated thermal and lighting simulation model in Grasshopper. The purpose is to identify which factors significantly affect daylighting level, visual comfort, and energy performance of the building. This information can then be used as input for devising an optimal shading control strategy. The investigated shading parameters are blind angle and blind covering area. The performance indicators include Spatial Daylight Autonomy (sDA), Daylight Glare Probability Simplified (DGPs), and Energy Use Intensity (EUI). The sensitivity analysis uses multilinear regression showing the standardized regression coefficient of each shading parameter. The results show that the blind angle has more significant effect compared to the blind covering area for all indicators.
AB - This paper presents a comprehensive sensitivity analysis on daylighting, visual comfort, and energy consumption of automated venetian blinds for open-plan offices. This research is using an integrated thermal and lighting simulation model in Grasshopper. The purpose is to identify which factors significantly affect daylighting level, visual comfort, and energy performance of the building. This information can then be used as input for devising an optimal shading control strategy. The investigated shading parameters are blind angle and blind covering area. The performance indicators include Spatial Daylight Autonomy (sDA), Daylight Glare Probability Simplified (DGPs), and Energy Use Intensity (EUI). The sensitivity analysis uses multilinear regression showing the standardized regression coefficient of each shading parameter. The results show that the blind angle has more significant effect compared to the blind covering area for all indicators.
U2 - 10.2991/aer.k.200214.007
DO - 10.2991/aer.k.200214.007
M3 - Conference contribution
SP - 48
EP - 52
BT - Proceedings of EduARCHsia & Senvar 2019 International Conference
ER -
