The unique integration of geometries and techniques allows the natural organisms to adapt to different environments in creative ways. In this study, a bio-inspired pneumatic facade is presented as a strategy to improve the efficiency of natural ventilation performance by controlling the adaptive openings. The Computational Fluid Dynamics simulation has been conducted to visualize airflows in order to explore how the changing configurations of openings enhance natural ventilation efficiency. The airflows are investigated with changes in wind speed and direction to find out the opening configurations which provide indoor airflows at the comfort level of velocities. As results, it was shown that indoor air velocities were modulated by controlling opening sizes, geometries and positions of the openings, and it was a beneficial strategy to apply the optimized opening configurations implementing automatic control. Also, the air distribution can be enhanced by changing opening configurations in changing conditions of wind speed and direction. An effective methodology for an intelligent façade opening control to encourage natural ventilation is presented in this study to deliver users comfort and efficiency.
|Title of host publication||CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia|
|Subtitle of host publication||Learning, Prototyping and Adapting|
|Editors||Suleiman Alhadidi, Tomohiro Fukuda, Weixin Huang, Patrick Janssen, Kristof Crolla|
|Publisher||The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)|
|Number of pages||9|
|Publication status||Published - 2018|
|Event||23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 - Beijing, China|
Duration: 2018 May 17 → 2018 May 19
|Name||CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting|
|Other||23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018|
|Period||18/5/17 → 18/5/19|
Bibliographical noteFunding Information:
This work was supported by the BK 21 Plus funded by the Ministry of Education of Korea.
© 2018 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) in Hong Kong.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Building and Construction