id |
ascaad2021_082 |
authors |
Ishac, Mina |
year |
2021 |
title |
Parametric Simulation and Sensitivity of Light Shelf on Daylighting and Shading: Light Shelf Performance Map |
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. 84-98 |
summary |
The design of the optimal light shelf to maximize daylighting performance in a space is governed by many factors which change simultaneously. The dynamic characteristics inherited in such factors range from: temporal changes of daylight over the course of the year and the change of daylighting conditions from one country to another to variable factors that are informed by the design process and functional programmatic use. The lack of a comprehensive study that links all these factors together to find out the near-optimal light shelf adapted to different conditions and locations, and moreover devise performance map that could be used to predict the performance. Given the constrains of light shelf’s dimensions endorsed by previous literature, this paper develops a map to predict daylighting in unexamined geographical locations, based on annual daylight profile in 3 cities (Stockholm, Cairo, and Nairobi) using quadratic regression method. The aim is to find the approximate dimensions for the needed near-optimal light shelf that optimizes daylighting and shading in any location. The paper uses a parametric approach to simulate daylighting using Radiance, in which 11 models of light shelves will be varied in a hypothetical typical room. The studied variables are: geographical latitude and their respective climatic conditions, and window-to-wall ratio (20-60%). The examined aspects: seasonal hourly illuminance, annual daylighting using UDI and DAV, average annual uniformity, and control of direct sunlight. The data are analyzed in MATLAB to present plot radar diagrams which can provide insights into the performance sensitivities of the models, with respect to daylighting. The performance curves are a preliminary design tool, that is based on approximation of dynamic daylighting. |
series |
ASCAAD |
email |
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full text |
file.pdf (991,458 bytes) |
references |
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last changed |
2021/08/09 13:13 |
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