Abstract
The significance of the assumption that on/off operation of air conditioning can be treated as a Markov Process was estimated stochastically on architectural heat transfer phenomenon with a series of numerical experiments. Transition probabilities of cooling to no-cooling state and the reverse were defined as functions of outdoor and indoor SET^*. Cooling heat loads of a single room model in a residential building were calculated in the numerical experiments based on Montecarlo simulation. The experimental results indicated the significant influence of stochastic on/off operation of the cooling system not only on seasonal but maximum cooling heat loads.
