Optimization Analysis of Natural Ventilation in University Laboratories Based on CFD Simulation
Author(s): |
Xiao Chen
Xingyin Chen Rong Su Benyi Cao |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 28 June 2023, n. 7, v. 13 |
Page(s): | 1770 |
DOI: | 10.3390/buildings13071770 |
Abstract: |
In recent years, there has been a significant surge in the adoption of natural ventilation for building indoor spaces, garnering widespread attention. However, the research on human comfort optimization strategies closely related to the effect of natural ventilation is still relatively blank. Therefore, we have taken university laboratories as the research object and studied the use of CFD technology to construct numerical models. Based on previous research on the relevant theories of building ventilation and the impact of various air indicators on human comfort, we simulate the indoor airflow organization of buildings, and propose reasonable optimization design strategies based on simulation results and analysis conclusions. Compared to other studies on NV, we propose a completely new indicator, the Average rate of change in air age (ARCA), to assess the rate of improvement in air age. The results show that compared with the wind environment under basic conditions, the optimization strategy proposed by us increases the wind speed area suitable for human beings by about 14.3%, and reduces ARCA by about 53.3% at most. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10737421 - Published on:
03/09/2023 - Last updated on:
14/09/2023