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_id	ecaade2024_146
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
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
doi	https://doi.org/10.52842/conf.ecaade.2024.2.393
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
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last changed	2024/11/17 22:05

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