A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables
Date
2022-06-22Author
Heidari Matin, Negar
Eydgahi, Ali
Gharipour, Amin
Matin, Payam
Metadata
Show full item recordAbstract
The associations between various design variables affecting the visual performance of responsive facade systems are investigated in this study. First, we propose a data-driven approach to study practical aspects of illuminance optimization for responsive facades. In this approach, the hourly indoor illuminance data are combined with the location information to generate an objective function. This function is then utilized to evaluate the visual performance of responsive facade systems by matching a variety of facade angle movements to hourly sunshine patterns. Next, statistical tests were deployed to evaluate the role of design variables in different scenarios. The results provide detailed information about the design variables and their effects on visual comfort at 0.05 significant levels. On average, facade angles, facade configurations, facade orientations, and facade locations were significant in 100%, 41%, 87%, and 45% of different possible combinations of scenarios/variables, respectively.
Citation
Matin, N.H.; Eydgahi, A.; Gharipour, A.; Matin, P. A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables. Buildings 2022, 12, 878. https://doi.org/10.3390/buildings12070878
Sponsorship
This project was funded by the Faculty Investment Program (FIP) Provided by the Vice Pres-
ident for Research and Partnership at the University of Oklahoma. Financial support was provided
by the University of Oklahoma Libraries’ Open Access Fund.
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