Issue |
E3S Web Conf.
Volume 167, 2020
2020 11th International Conference on Environmental Science and Development (ICESD 2020)
|
|
---|---|---|
Article Number | 04003 | |
Number of page(s) | 6 | |
Section | Atmospheric Environment | |
DOI | https://doi.org/10.1051/e3sconf/202016704003 | |
Published online | 24 April 2020 |
An OpenFOAM simulation of the natural ventilation system in a university chemical laboratory
1
Technical University of Ambato (UTA) School of Food Science and Engineering. Ambato (Ecuador)
2
Technical University of Ambato (UTA) School of Systems, Electronics and Industrial Engineering. Ambato (Ecuador)
3
HES WELL CORDINATOR SCHLUMBERGER SPM-SHAYA, Quito (Ecuador)
4
Technical University of Ambato (UTA) School of Mechanical Engineering. Ambato (Ecuador)
* Corresponding author: ma.cordova@uta.edu.ec
The indoor airflow with a natural ventilation system was numerically calculated using the laminar and turbulent approach. In the chemical laboratory of the Technical University of Ambato, the computational code OpenFoam demonstrated an ability to numerically predict flow patterns. The design contemplated the natural ventilation system considering the laboratories’ working conditions not only in summer, but also in a winter week. These two operating conditions are calculated on a fully open and closed environment. For a room with a capacity of 20 people, the climate data average values were recorded at 14.0 ° C, 81.7%, 1.7 m /s for temperature, relative humidity, and wind speed, respectively. Furthermore, the demonstration has shown that the homogeneous occupancy air speed average is was 0.7 m / s with a facade air intake of 1.0 m / s 0.6 m / s in the room valid for the exchange of air and evacuation of pollutants. The maximum pressures were found in the lower part of the laboratory. This prevents the modification of the thermo-hygrometric conditions.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.