A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables
Auteur(s): |
Negar Heidari Matin
Ali Eydgahi Amin Gharipour Payam Matin |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 5 juillet 2022, n. 7, v. 12 |
Page(s): | 878 |
DOI: | 10.3390/buildings12070878 |
Abstrait: |
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. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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10688699 - Publié(e) le:
13.08.2022 - Modifié(e) le:
10.11.2022