| id |
ascaad2021_055 |
| authors |
El Hussainy, Mariam; Mohammed Mayhoub, Ahmed El Kordy |
| year |
2021 |
| title |
A Computational Approach for Optimizing the Daylighting Performance of Existing Buildings |
| source |
Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 69-83 |
| summary |
Daylighting provision gives a significant contribution to the enhancement of the indoor visual environment and user comfort. This study aims to provide a methodology to assess and optimize daylighting performance in buildings. The paper utilizes simulation techniques for identifying the most efficient daylight performance by incorporating parametric optimization tools to enhance the daylighting performance of existing buildings. The developed workflow includes three consecutive phases. The first examines the daylighting performance of the existing building. The second phase is concerned with daylighting adequacy and the third aims to optimize the quality of light rather than just the quantity through the utilization of a simple shading system to parametrically investigate the effect of using different shading configurations on daylighting performance and to select the optimal solution. A louver system was parameterized according to a predefined process that associates its depth, count and rotation angle while a vertical screen was parametrized according to its scale and tilt angle. To examine the potentials of the proposed multi-stage method, it has been implemented on an office building located in new Cairo, Egypt. The results demonstrate that using the proposed optimization strategy drastically enhanced the Spatial Daylighting Autonomy of the building from 27% to 87% in comparison with the base case. Moreover, the optimum shading solution enhanced the daylighting quality by reducing the glare probability for better visual comfort from 60% to only 14%. |
| series |
ASCAAD |
| email |
|
| full text |
 file.pdf (815,406 bytes) |
| references |
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| last changed |
2021/08/09 13:13 |
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