The building plan automatic design optimization based on CFD numerical intelligent simulation

Li, Yangluxi, Chen, Lei and Li, Guangyao 2022. The building plan automatic design optimization based on CFD numerical intelligent simulation. Indoor and Built Environment 32 (4) , pp. 743-749. 10.1177/1420326X221134981

Full text not available from this repository.

Abstract

To apply the thermal comfort to the optimization of building layout, a variable design method based on Kmeans clustering is proposed. The evaluation was based on numerical simulation, genetic algorithm and universal thermal climate index (UTCI) to implement the building layout optimization on Matlab. Finally, the building layouts with centralized type, decentralized type and edge flow type water configuration were optimized, respectively. The results show that after the optimization, a reduction of 0.1∼0.6°C of UTCI was observed. We concluded that under moderate heat stress, the increase in wind velocity is the key to thermal comfort improvement.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Architecture
Publisher:	SAGE Publications
ISSN:	1420-326X
Last Modified:	29 Jun 2024 11:14
URI:	https://orca.cardiff.ac.uk/id/eprint/158450

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item