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

在1990年达到减少二氧化碳排放和恢复相同的排放率水平被认为是防止全球变暖的迅速行动。由于建筑行业的二氧化碳排放量估计约占日本总排放量的三分之一，因此付出大量努力是必不可少的。很明显，建筑部门的大部分二氧化碳排放是由于运营而不是建筑，因此，节能被认为是一个比以前更重要的问题。研究了暖通空调系统运行阶段节能的几种方法。1)开发了基于ARX模型的变风量空调系统故障自动检测与诊断方法。通过计算机仿真和东京电力公司研发楼实测数据，验证了该方法的鲁棒性和可行性。2)提出了一种基于天气预报和建筑实测数据的热负荷预测新算法，并利用实际建筑现场数据分析了算法的实用性。3)基于TRNSYS等系统仿真软件，从节能角度对蓄热系统的优化运行进行了研究。从节能的角度考察了某高校的能耗情况及其与气候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.