No 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.

“Passive” dust control systems for belt conveyor transfer stations have become increasingly popular in recent years. Effective design relies on a fundamental understanding of the flow of granular material and air throughout the transfer chute. This paper presents an investigation into the flow properties of the air and particles in the enclosure for different transfer chutes based on computational fluid dynamics (CFD) modelling. A multiphase Euler-Euler model was applied to develop a 3D model of the transfer chute. Experiments were undertaken to verify the theoretical models, with overall results indicating good correlation. Furthermore, a number of alternative transfer chute configurations were modelled to investigate the effect of geometry on dust generation.