외기온도 예측을 통한 건물 냉난방 설비 시스템 최적 제어

초록

HVAC systems account for 40-50% of the building's energy consumption. The International Energy Agency (IEA) presented that energy savings in building heat sources and HVACs systems can increase efficiency mainly through optimal control of the system. Currently, most building systems are controlled by rule-based control methods based on the experience or knowledge of the operator. These rule-based controls have the advantage of being easy to operate, but the energy performance is not satisfactory because the control effect is difficult to optimize. Therefore, in this study, WDQN-temPER, a HVAC system control model with the predicted outdoor temperature in the environmental state, was developed to verify the control effect of the model using EnergyPlus simulation models.

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