Abstract

In the present work, climate models were presented, which are intended for calculating energy consumption of air conditioning systems, spent on processing the outdoor air to supply it to the room as a supply air, and on the assimilation of heat from external and internal sources. Currently, the number of buildings is growing, in which the bulk of the heat surplus is made up of internal heat. Therefore, for such buildings, a climate model is needed that contains only data on the repeatability of combinations of temperature and humidity of the outside air. Such a model is a probabilistic-statistical climate model. To calculate the energy consumption of air conditioning systems in rooms with a load formed due to heat transfer through external building envelopes and the direct penetration of the heat of solar radiation, we need a model that contains not only the mentioned probabilistic characteristics, but also changes over time combinations of climate parameters. Such a model is a reference year. The article presents data on the development of a reference year for the city of Hanoi and shows that when assimilating only internal heat surpluses it is advisable to use a probabilistic-statistical model, that provides a much more accurate result.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call