A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables

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...

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Bibliographic Details
Published inBuildings (Basel) Vol. 12; no. 7; p. 878
Main Authors Matin, Negar Heidari, Eydgahi, Ali, Gharipour, Amin, Matin, Payam
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2022
Subjects
Climate
Cost control
data-driven design
Design
facade optimization
Facades
Illuminance
Objective function
Optimization
Performance evaluation
responsive facades
Sensors
Software
Statistical analysis
Statistical tests
visual comfort
Visual effects
United States > US
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Summary: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.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings12070878