난방부하예측 및 외기보상 지역난방제어 시뮬레이션

The objective of this study is to compare three controls method such as Setting temp. control, Outdoor reset control and Predicted heating load control. Especially Predicted heating load control has a advantage in terms of figuring out required heat load of the secondary loop. It has carried out by using dynamic analysis program TRNSYS. Base model is the area of 119.7 ㎡ apartment housing which accounts for 25% in Korea. Heat consumption pattern for simulation is included. Results show that lower supply temperature at secondary loop and higher temperature difference at primary loop were calculated by using Predicted heating load control.