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THE FLUID MECHANICS OF NATURAL VENTILATION
Abstract
▪ Abstract Natural ventilation of buildings is the flow generated by temperature differences and by the wind. The governing feature of this flow is the exchange between an interior space and the external ambient. Although the wind may often appear to be the dominant driving mechanism, in many circumstances temperature variations play a controlling feature on the ventilation since the directional buoyancy force has a large influence on the flow patterns within the space and on the nature of the exchange with the outside. Two forms of ventilation are discussed: mixing ventilation, in which the interior is at an approximately uniform temperature, and displacement ventilation, where there is strong internal stratification. The dynamics of these buoyancy-driven flows are considered, and the effects of wind on them are examined. The aim behind this work is to give designers rules and intuition on how air moves within a building; the research reveals a fascinating branch of fluid mechanics.
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Citations
Cited by
Ramponi, R., & Blocken, B. (2012) · Building and Environment · doi:10.1016/j.buildenv.2012.01.004 · Cited by 555
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Bourouiba, L. (2021) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-060220-113712 · Cited by 366
Metadata
- Authors
- Linden, P. F.
- Venue
- Annual Review of Fluid Mechanics
- Publisher
- Annual Reviews
- Published
- 1999-01
- Volume
- 31
- Issue
- 1
- Pages
- 201-238
- ISSN
- 0066-4189 (ISSN-L)
- 1545-4479
- OpenAlex
- W2122125541
- Cited by
- 719
- References
- 0
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Linden, P. F. (1999). THE FLUID MECHANICS OF NATURAL VENTILATION. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fluid.31.1.201
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.