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Optimization of Window Positions for Wind-Driven Natural Ventilation Performance

Authors :
Nari Yoon
Mary Ann Piette
Jung Min Han
Wentao Wu
Ali Malkawi
Source :
Energies, Vol 13, Iss 10, p 2464 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

This paper optimizes opening positions on building facades to maximize the natural ventilation’s potential for ventilation and cooling purposes. The paper demonstrates how to apply computational fluid dynamics (CFD) simulation results to architectural design processes, and how the CFD-driven decisions impact ventilation and cooling: (1) background: A CFD helps predict the natural ventilation’s potential, the integration of CFD results into design decision-making has not been actively practiced; (2) methods: Pressure data on building facades were obtained from CFD simulations and mapped into the 3D modeling environment, which were then used to identify optimal positions of two openings of a zone. The effect of the selected opening positions was validated with building energy simulations; (3) results: The cross-comparison study of different window positions based on different geographical locations quantified the impact on natural ventilation effectiveness; and (4) conclusions: The optimized window position was shown to be effective, and some optimal solutions contradicted the typical cross-ventilation strategy.

Details

Language :
English
ISSN :
19961073
Volume :
13
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.2e26116c377346fc90ffa01a8f1fb765
Document Type :
article
Full Text :
https://doi.org/10.3390/en13102464