Paper
11 March 2022 Comparison of ventilation performance in an office room through big data simulation
Gang Zhao
Author Affiliations +
Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600Z (2022) https://doi.org/10.1117/12.2627991
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China
Abstract
Based on big data simulation, three ventilation systems including mixing ventilation, displacement ventilation and diffuse ceiling ventilation are numerically simulated and compared in an office room. Ventilation performances of these three ventilation systems are obtained through analysing indoor air velocity distribution, temperature distribution, PMV, age of air and ventilation efficiency. Results show that the vertical temperature gradient of diffuse ceiling ventilation is 0.30 °C/m. Compared with displacement ventilation and mixing ventilation, the indoor vertical temperature gradient of diffuse ceiling ventilation is reduced by 3.95°C/m and 1.22°C/m, respectively. The indoor temperature distribution is relatively uniform, and there is no local thermal discomfort in the occupied zone. In addition, the indoor air velocity gradient of diffuse ceiling ventilation is very small, and there is no cold air draught even when the supplied air has high momentum. The indoor PMV is also within the requirement of regulations, and the thermal comfort can be greatly improved. The indoor air age of diffuse ceiling ventilation is 539 s, with the ventilation efficiency close to 1.0. Although it is less than that of displacement ventilation, the effects of ventilation and heat rejection are still excellent. This study can provide technical basis for the application of diffuse ceiling ventilation in practical projects.
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Gang Zhao "Comparison of ventilation performance in an office room through big data simulation", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600Z (11 March 2022); https://doi.org/10.1117/12.2627991
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KEYWORDS
Systems modeling

Computer simulations

Computing systems

Numerical simulations

Thermal effects

Turbulence

Buildings

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