Fault Detection and potimization of HVAC Systems at Operational Stage for Energy Conservation

实现CO2减排并恢复到1990年的排放水平被认为是防止全球变暖的一项紧迫行动。建筑业的CO2排放量估计约占日本总量的1/3，因此必须做出巨大的努力。很明显，建筑业的CO2排放主要来自建筑物的建造，而不是操作，因此，节能被认为是今后的重要课题。本文针对空调系统运行中的能耗问题，研究了几种节能方法：1）基于ARX模型的变风量空调系统故障自动检测与诊断方法。通过计算机仿真和使用东京电力公司R/D大楼的真实的数据，验证了该方法的鲁棒性和可行性。2）开发了一种基于天气预报和收集的建筑物过去测量数据的热负荷预测新算法，并使用真实的建筑物的现场数据分析了其有效性。基于系统模拟软件TRNERGY，研究了蓄热系统的节能优化运行，并对蓄热系统的节能效率进行了分析，从节能角度分析了某高校的能耗状况及其与气象条件和建筑使用方式的关系。

Attaining the reduction of CO2 emission and retrieving the same level of emission rate in 1990 is regarded as a prompt action to prevent global warming. Since the CO2 emission rate in the building sector is estimated about 1/3 of the Japanese total much effort done is indispensable.It has become clear that most of the CO2 emission in building sectors is due to operation but to construction of buildings, therefore, energy conservation is considered more important issue than before toward future. In this research several methodologies for energy conservation at the stage of HVAC system operation, which consumes a lot of energy, were developed investigated1) Automatic fault detection and diagnosis of VAV systems based on ARX model method was developed. The robustness and feasibility of the methods was tested by computer simulation and using the real data obtained from the R/D building of Toko Electric utility company.2) A new algorithm for prediction of heat load based on weather forecast and the collected past data measured at the building was developed and the usefulness was analyzed using field data from a real building.3) Optimum operation of thermal storage in terms of energy conservation was developed and the efficiency was investigated based on system simulation code like TRNSYS.The energy consumption of a university and its relation to weather conditions and the way of building use was investigated in terms of energy conservation.