| id |
ecaade2024_146 |
| authors |
Yu, Zhichao; Hao, Xinyuan; Tong, Ziyu |
| year |
2024 |
| title |
Research on Ventilation-Oriented Complex Building Design Using the WRF-CFD Downscaling Method |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.393
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 393–402 |
| summary |
Ventilation-oriented design aims to improve natural ventilation during the building design and optimization process. However, previous studies have focused merely on simplistic models, mono-scale climatic conditions, or single design problem. Building design is an integrated multiscale process, and accordingly, the external conditions for ventilation simulation should be targeted to different scales of the design process. To address these issues, this paper proposes a ventilation-oriented design framework for complex building design that combines the progressive design approach with the 3-domain nested ventilation simulation method based on WRF-CFD. Moreover, the boundary conditions are set to be appropriate for each design phase, with distinct evaluation indicators. To demonstrate its efficacy, this research takes the design process of a residential building located in the main urban area of Nanjing, China as a case. The results show that our design method can provide architects with multidimensional ventilation design information as references, and contribute to a better urban living environment based on ventilation-oriented complex building design. |
| keywords |
Ventilation-oriented design, Design optimization, WRF-CFD model, Computational design, Complex building |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,899,705 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2024/11/17 22:05 |
|
