Evaluating the Daylighting Performance of Dynamic Façades by Using New Annual Climate-Based Metrics

Ayman Wagdy;Fatma Fathy;Altomonte, Sergio
(2016) PLEA - 32th International Conference on Passive and Low Energy Architecture. — Location: Los Angeles (11.July.2017)

Files

No attached file found for this publication.

Details

Authors
  • Ayman WagdyQueensland University of Technology
    Author
  • Fatma FathyAmerican University of Cairo
    Author
  • Author
Abstract
Dynamic façades hold the flexibility to adapt to different configurations, contributing to increase visual comfort and control the direct sunbeam entering a space. This paper presents a novel parametric method for evaluating the annual daylighting performance of dynamic façade systems using Radiance and DaySim through the DIVA-for-Rhino, SpeedSim-for-DIVA, and Grasshopper Rhino plug-ins. The first stage of the proposed method centres on selecting the optimal façade configuration based on two newly-developed metrics: Hourly Spatial Daylight Autonomy (H-sDA), and Hourly Sunlight Exposure (HSE). In the second stage, the custom hourly-based data is converted into one value that represents the annual performance in terms of Spatial Daylight Autonomy (sDA300/50%) and Annual Sunlight Exposure (ASE1000/250h). Finally, a comparative analysis between dynamic shading, static shading, and venetian blind systems is performed. The results showed a significant improvement in daylight. availability by using the dynamic shading in comparison to the venetian blind system with a threefold increase in sDA (from 17% to 54%), while minimizing the potential for visual discomfort (ASE=0%). The proposed method enables an accurate evaluation of the annual daylighting performance of dynamic façade systems, paving the way for architects to successfully verify the performance of their dynamic façade proposals at early design stage.
Affiliations

Citations

Ayman Wagdy, Fatma Fathy, & Altomonte, S. (2016). Evaluating the Daylighting Performance of Dynamic Façades by Using New Annual Climate-Based Metrics. Proceedings of PLEA 2016. Published. PLEA - 32th International Conference on Passive and Low Energy Architecture., Los Angeles. https://hdl.handle.net/2078.5/228053