Abstract
The purpose of this study is to establish the prediction methods for the cooling, heating and electric loads on district energy supply systems by means of the analysis of existing operation data. The load prediction is indispensable for the planning, introduction and operation of the energy plants and stations. This paper examines the correlation between the weather data and daily maximum or hourly loads of steam and hot water, which are essential to the estimation of the thermal loads of DHC (District Heating and Cooling) plants and CGS (Co-Generation System) stations. As the results, the daily maximum thermal loads depend on the average outdoor air temperature during the building operation time zone. The hourly thermal loads can be predicted using the outdoor air temperature at that time. The comparison of two regional and yearly different data confirms the versatility of the proposed prediction methods.
