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基于有限测点的空调系统性能在线监测方法
杨怀毅1, 任滔1, 丁国良1, 陈绍楷2, 刘忠民2
0
(1.上海交通大学制冷与低温工程研究所;2.海信科龙电器股份有限公司)
摘要:
智能控制技术与互联网技术在房间空调上应用的基础是对其性能的在线实时监测。本文提出一种房间空调系统性能在线监测的方法。首先将空调器布置温度测点采集到的换热器铜管表面温度和电流电压等电路参数结合,转化为制冷循环中制冷剂的状态参数;再通过压缩机流量半经验计算模型计算制冷剂的流量,进而得出室内机中制冷剂侧的换热量;最后结合电路参数求得的整机功率,实现房间空调系统制冷量、制热量、功率、能效的实时监测。结果表明:采用此方法计算房间空调器性能参数的最大偏差小于15%,主要误差来源为蒸发压力的计算误差。
关键词:  制冷系统  性能监测  压缩式制冷循环  制冷量
DOI:
投稿时间:2017-09-06    
基金项目:
Performance Monitoring Method of Air-conditioning System based on Limited Measuring Points
Yang Huaiyi1, Ren Tao1, Ding Guoliang1, Chen Shaokai2, Liu Zhongmin2
(1.Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University;2.Hisense-Kelon Electrical Holdings Co., Ltd.)
Abstract:
The application of intelligent control technologies and internet technologies to room air conditioning systems is based on the performance monitoring of air-conditioning systems. In the study, the method of real-time monitoring of the performance of room air-conditioning system was proposed. First, temperature measuring points were arranged in the air conditioner, and the temperature and circuit data were transformed into refrigerant state parameters. Subsequently, the mass flow rate of refrigerant was calculated via a semi-empirical compressor model, and the heat exchange of the indoor unit was calculated via the enthalpy difference. Finally, the power was calculated by using circuit data. Thus, the mass flow rate, capacity, power, and energy efficiency were monitored. The test results indicate that the average deviation of the calculated performance obtained by the method in the study is less than 15%. The deviation is mainly attributed to the calculation of evaporating pressure that significantly influences the calculation of the mass flow rate.
Key words:  refrigerating system  performance monitoring  compression refrigeration cycle  refrigerating capacity

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