modelling

Proposes a two-layer turbulence model for predicting forced, natural and mixed convection in order to accurately and efficiently simulate indoor airflows. With the aid of direct numerical simulation data, the model uses both a near-wall one-equation model and a near-wall natural convection model.

The INBEMI (Instituto de Beneficio de Minerales) is a Research Institute of the National University of Salta, working on the areas of mineral processing and extractive metallurgy. At present, the INBEMI is mainly working in the field of boron industry using borates as raw material. The main borate deposits in Argentina are in the northwestern provinces, near the borders with Chile and Bolivia. Among the research studies an important place is given to the industrial ventilation, including the control of the air quality that is discharged to the external atmosphere.

A simplified indoor air quality (IAQ) model has been applied to predict IAQ in an Australian house, using environmental chamber measurements of source strengths, house ventilation and room size. Total volatile organic compounds (TVOCs) was used as the model pollutant in this study. The validity of the IAQ model was initially assessed by comparing model predictions with measurements in the house over a period of time. The root mean square error between the measured and predicted values was 0.039. This model explains 57% of the potential for error.

In a crowded building space with no air conditioning, heat and moisture emissions from occupants can result in heat stress in the indoor environment, which in turn, causes thermal strain on the human body. In the present paper, a 61-node thermoregulation model is coupled with a thermal environment model of ventilated space to simulate both the thermal conditions and occupant's responses. The coupling model is validated with experimental data at high occupant density in a thermal environmental chamber.