Abstract
In order to select an optimal system for a certain district heating and cooling plant among a lot of candidates at the planning stage, it is necessary to run the simulation program using as precise air conditioning load as possible. Simulation results are gravely influenced by the characteristics of the district, for example, the composition of building use, the geometrical shape and thermal characteristics of each building. Therefore, it is important to estimate the most reasonable district heating and cooling load. In this paper, using design of experiment, a table for estimating the PAL value, estimating tables of the peak load and monthly load with hourly variations were prepared.
