건물 HVAC의 에너지사용량 변동과 실온변화를 통한 고장발견진단 알고리즘 개발 연구

Abstract

Looking at domestic energy consumption patterns, energy consumption by buildings accounts for more than 10% of the total that is increasing. The energy required for HVAC system accounts for 50 to 60% of the total energy of the building. As one of energy conservation measures of buildings, fault detection and diagnosis applied to BEMS is emerging. For efficient operation of BEMS, FDD module is installed. To develop the FDD algorithm, which is the core of the system, it is necessary to analyze and characterize the response state of the HVAC system according to the fault occurrence. The purpose of this study is to understand the quantitative performance change of HVAC due to faults and to develop FDD algorithm using it. As a result of fault simulation of HVAC, if the degree of fault is the most serious, the increase / decrease of energy consumption per year compared to the non-fault model is at least -0.3% up to 68.6%. Room temperature showed the greatest fluctuation at the fault of the increase in infiltration. It rose up to 31°C in summer and dropped to -6°C in winter. The energy consumption and room temperature changes of the other 10 items were classified according to the trends, and the monthly and annual algorithms were proposed using them. Finally, the algorithm proposed in this study improved the accessibility of FDD to users and it is easy to grasp the outline of HVAC fault easily.