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Analytical solutions are derived for calculating natural ventilation flow rates and air temperatures in a single-zone building with two openings when no thermal mass is present. In these solutions, the independent variables are the heat source strength and wind speed, rather than given indoor air temperatures. Three air change rate parameters α,β and γ are introduced to characterise, respectively, the effects of the thermal buoyancy force, the envelope heat loss and the wind force.

The present paper refers to the numerical prediction of air velocities and temperatures inside single-sided naturally ventilated buildings and more specifically the special case in which air from the external environment is brought into the building through single-directed openings. The work is focused on the physical procedures governing air movement during the single-sided natural ventilation.

The energy and mass flows required to sustain dwelling services can be established and quantified only within the framework of a stock and flow model of the total housing stock. This paper develops such a model to estimate the energy flows of a typical sub-population of New Zealand housing stock. The energy and mass flows of key building materials are estimated and the energy flows of alternative cladding systems are compared. The stock and flow model is driven by empirical schedules of mortality.

The aim was to develop a multiple logistic regression model to identify multi-family houses with an increase of sick building syndrome (SBS). In Stockholm, 609 multi-family buildings with 14,235 dwellings were selected by stratified random sampling. The response rate was 77%. Multiple logistic regression analysis was applied, adjusting for ownership of the building, building age and size, age, gender, and atopy. Females, subjects with allergy, those above 65 yr, and those in new buildings reported significantly more SBS.

This study examines the influence of ventilation on chemical reactions among indoor pollutants. We have used a one compartment mass balance model to simulate unimolecular and bimolecular reactions occurring indoors. The initial modeling assumes steady-state conditions. However, at low air exchange rates, there may be insufficient time to achieve steady-state. Hence we have also modeled non steady-state scenarios. In the cases examined, the results demonstrate that the concentrations of products generated from reactions among indoor pollutants increase as the ventilation rate decreases.

The airborne transmission of disease is a constant threat and while diseases such as Tuberculosis were considered all but extinct in the western world, the resurgence of it demonstrates that the spread of these diseases has to be taken very seriously. This paper describes the method of application of Computational Fluid Dynamics (CFD), more appropriately called Airflow Modelling for the Building Services Industry, to the airflow and heat transfer in a Hospital Isolation Room Application.

To investigate the dispersion of aerosols in an airflow, a test facility was build at the HermannRietschel- Institute. The distribution of aerosols across the cross section of the test duct was measured at several distances from the emission source. The turbulence intensity of the airflow in the duct was varied by installing different turbulence generating grids (I% to 20%) at the top of the test duct. Far enough downstream the source, the concentration profiles have a Gaussian distribution.