http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
대학시설에 대한 열원기기 대수 운전 제어의 에너지 절약 효과
이제헌(Je-Hyeon Lee),야스노리 아카시(Yasunori AKASHI),금종수(Jong-Soo Kum),김동규(Dong-Gyu Kim) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
This paper proposes the new operation control method that let heat source system stop and circulate only hot water at low load, and verified the introduction effect. At first, we constructed simulation model of heat source system and examined the proposing method by using simulation model. At last, we examined the introduction effect of proposing method with actual building. As a result, the primary energy consumption of heat source system was reduced by about 13%.
HVAC 시스템 대상 제어 설정값 최적화를 위한 데이터 기반 예측 모델 개발에 대한 연구
박석민(Seok-Min PARK),이제헌(Je-Hyeon LEE) 한국수산해양교육학회 2023 水産海洋敎育硏究 Vol.35 No.6
This paper proposes a method to supplement the lack of operation data according to various control settings in the development of data-based prediction models for heating, ventilation & air conditioning (HVAC) system optimal control. Multiple linear regression (MLR) was used to develop a performance prediction model of the target device, and a simulation model of the heat source system was developed in connection with this. In order to secure sufficient learning data for the development of predictive models through simulation, we generated operation data for various boundary conditions and control settings, developed a Deep Neural Network (DNN) model, and improved predictive performance through hyper parameter optimization.
VAV 시스템의 난방 운전 PID 게인 자동 튜닝 및 외란에 대한 제어 강인성 분석
류종혁(Jong Hyeok Ryu),이제헌(Je Hyeon Lee),정석권(Seok Kwon Jeong),변호원(Ho Won Byun),최일환(Il Hwan Choi),김동권(Dong Kwon Kim) 대한설비공학회 2024 설비공학논문집 Vol.36 No.9
This study dealt with the auto-tuning of a PID controller designed to precisely control the indoor temperature to a setpoint during heating operations in an electric-heat pump (EHP)-based VAV air conditioning system. The proposed method tunes PID gains online through an on/off operation near the setpoint and automatically switches to PID control once tuning is complete. The performance of the PID gain auto-tuning and feedback control with the tuned controller was evaluated under various conditions using a calorimeter. The experiments demonstrated that the PID controller gains were properly tuned under different thermal load conditions and provided a detailed analysis of the tuned controller’s control performance. The auto-tuned controller was shown to precisely control the indoor temperature to the setpoint, even under varying thermal load conditions that differed from the ones used for tuning. Notably, the tuned PID controller maintained the indoor temperature within a 0.2℃ error of the set point (22℃) despite disturbances such as the introduction of low-temperature outdoor air and defrost operations, which are inevitable during heating operations. Finally, the stability and reproducibility of the auto-tuned PID controller were confirmed through the dominant pole analysis of the closed-loop system in the complex plane.