AIVC - Air Infiltration and Ventilation Centre

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Moisture in dwellings for allergic persons before and after building technological measures.

The project selected fifteen patients known to be allergic to house dust mites and living in homes with bad moisture damage. The aim was to study the effect on the indoor environment and medical parameters after adequate measures had been taken against moisture damage. Moisture and other technical parameters in the indoor environment and the damaged building components were measured prior to, and at least one year after, these measures. Questionnaire surveys and various medical examinations were made parallel with the measurements.

Mould in the indoor environment - occurrence, risks and preventive measures.

States that there is an evident relationship between the occurrence of mould indoors and medical conditions such as inflammation of the airways, and that glucans, found in active and inactive mould, can be used as a measure of the biomass of mould. Elevated quantities of glucans have been found in buildings where complaints had been made, but where there was no visible mould or mouldy smell. An investigation of an estate of terraced housed found that the quantity of airborne glucans was determined as an indication of the quantity of mould spores in the air in 70 houses.

Pressure difference across a wall did not affect moisture content in pores of wall structures.

Unexpectedly, the indoor-outdoor pressure difference did not affect significantly the moisture content in different layers of two outer walls but the moisture content depended more strongly on the moisture content in outdoor.

Diagnosing wall moisture.


Mold, a poltergeist.

Mold growing, within the walls of a brick veneer home can pose special · problems for diagnosis and remediation.

On controlling indoor thermal and moisture content for an occupied building.

The focus of this paper is on controlling ventilation rate to provide acceptable temperature and relative humidity in the space being ventilated. To this end, a system of heat and moisture balance equations for building indoor and components is described. The system is solved numerically. Based on a series of indoor temperature and moisture measurements for our experimental house and well-mixed air distribution in room, moisture generation rate is estimated. The model is validated by simulating the experimental house. Good agreement between the simulated and measured results is obtained.