Model-Based Performance Test and Chilled Water Fault Diagnosis for Large-Scale Water-cooling Chillers
The performance monitoring with optimal control and fault detection, diagnosis (FDD) for large-scale water-cooling chiller plants is significant for energy saving and thermal comfort. This study developed a new model-based FDD method, which combined expert knowledge with simulated failure modes under the real commercial operated conditions. With semi-empirical multi-valued recognition of failure modes, chilled water reduction fault has proved to be detected and diagnosed at the early stage. The study addressed three aspects: (1) developed the performance index for monitoring and diagnose chiller plants faults based on thermodynamic laws; (2) provided simplified FDD judgment rules for largescale water cooling chiller plants (3) field verify the developed FDD models both in fault conditions and in fault-free conditions. The most distinctive feature of the model-based FDD methodology in the paper is based on simple temperature and pressure sensors rather than dependent on those additional installations for special purpose, which is extraordinary appropriate for field installed largescale water-cooling business chiller plants. It has been proved that model-based FDD method in the study is feasible and accurate after the field test.
chiller model-based fault detection and diagnosis performance index performance test
Zhisheng Li Guoqiang Zhang Dongmei Li Xuhong Liu Sheng Mei Xiaoxia Wang Jianlong Liu
Faulty of Construction, Guangdong University of Technology, Guangzhou, 510006, China；College of Civi College of Civil Engineering, Hunan University, Changsha, 410082, China Faulty of Construction, Guangdong University of Technology, Guangzhou, 510006, China Department of Civil Engineering, Hunan University of Technology, Zhuzhou, 412008, China
国际会议
北京
英文
2007-09-07（万方平台首次上网日期，不代表论文的发表时间）