Public baths normally use outdoor air to remove moisture from the buil
ding. This procedure results in large heating demands. A theoretical h
our-based method for estimation of the heating demand has been develop
ed. The method allows for dynamic behaviour with correct time periods
for each mass-transfer level. Results of predictions with this method
have been compared with yearly estimates of the heating demand based o
n actual measurements in a public bath. The difference is 3%. A parame
tric study shows that the air temperature and relative humidity in the
building strongly influence the heating demand. Comparisons with othe
r prediction methods based on use of the duration curve or mean annual
outdoor temperature show differences less than 5% from results obtain
ed with the hour-based method. The simpler approaches (use of a durati
on curve or mean value) fail when minimum outdoor airflow must be cons
idered, as will be the case, for instance, when comparing different en
ergy-saving systems or design of components for the climate system. (C
) 1996 Elsevier Science Ltd.