공조시스템을 활용한 실내 부하 예측 모델 개발

다국어 초록 (Multilingual Abstract)

The purpose of this study is to develop an load prediction model using HVAC (Heating, Ventilation, Air conditioning and Cooling) system to prevent waste of energy due to fault and inefficient operation of the system. As the interest in energy saving of buildings is increasing worldwide, there is a growing need for research on facility energy efficiency measures. Load prediction is needed to prevent waste of energy. However, current methods for predicting loads in existing buildings are complex and difficult to predict in real time. Therefore, the purpose of this study is to develop a load prediction model through measurement and mathematical modeling of the input values for the load prediction using sensors in the HVAC system. The prototype is developed using the developed load prediction model and the actual building is tested.

목차 (Table of Contents)

• ABSTRACT
• 서론
• 부하예측 모델 개발
• 부하 예측 모델 검증
• 결론
• References

참고문헌 (Reference)

1 전병기, "인공신경망을 이용한 건물의 단기 부하 예측 모델" 대한설비공학회 29 (29): 497-503, 2017

2 석호태, "사무소 건물의 설계변수 열성능 평가 및 부하예측방정식 개발" 대한설비공학회 13 (13): 914-921, 2001

3 유성연, "빙축열 시스템의 효율적인 제어를 위한 냉방부하예측에 관한 연구" 대한설비공학회 20 (20): 128-136, 2008

4 백창인, "기계학습 기법을 이용한 빌딩 난방부하 예측" 6 : 253-255, 2014

5 유성연, "건물 면적을 이용한 시간별 냉방부하 예측에 관한 연구" 대한설비공학회 22 (22): 798-804, 2010