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Research Article

Distribution characteristics of indoor oxygen concentration under natural ventilation in oxygen-enriched buildings at high altitudes

Cong Song1,2( )Tingting Zhao2Yanfeng Liu1,2Dengjia Wang1,2
State Key Laboratory of Green Building in Western China, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, China
School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, China
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Abstract

Diffuse oxygen supply is an important means to improve the indoor oxygen environment of buildings and ensure physiological and psychological health of immigrants in plateau areas. Existing research on oxygen enrichment strategies at high altitudes has mainly focused on confined spaces under mechanical ventilation, with few studies on the distribution of indoor oxygen concentration under natural ventilation in actual buildings. This study used a verified computational fluid dynamics (CFD) method to investigate the indoor oxygen distribution with practical consideration of natural ventilation at high altitudes. The results showed that the oxygen distribution under wind-driven natural ventilation was more nonuniform than that under buoyancy-driven natural ventilation, with the ratio of local oxygen concentration to overall-mean oxygen concentration, the k value, between 0.8 and 1.3 under wind-driven natural ventilation and between 0.9 and 1.1 under buoyancy-driven natural ventilation. The effects of meteorological condition and oxygen source position on indoor spatial oxygen distribution characteristics were explored with careful examination in human occupied zone under lying, sitting and standing postures. The results can provide implications for effective and energy saving design of indoor oxygen supply system in plateau buildings.

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Building Simulation
Pages 1823-1841
Cite this article:
Song C, Zhao T, Liu Y, et al. Distribution characteristics of indoor oxygen concentration under natural ventilation in oxygen-enriched buildings at high altitudes. Building Simulation, 2021, 14(6): 1823-1841. https://doi.org/10.1007/s12273-021-0776-9

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Received: 03 September 2020
Revised: 12 January 2021
Accepted: 27 January 2021
Published: 15 April 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021
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