文献类型：期刊文献

中文题名：并联压缩机组制冷系统性能试验分析

英文题名：Experimental Analysis on Refrigerating System Performance of a Parallel Unit with Several Compressors

作者：申道明[1,2];桂超[1];夏锦红[1];薛松涛[2,3]

第一作者：申道明

机构：[1]新乡学院土木工程与建筑学院,河南新乡453000;[2]同济大学结构工程与防灾研究所,上海200092;[3]日本东北工业大学建筑学科,仙台9828-577

第一机构：新乡学院土木工程与建筑学院

年份：2020

卷号：48

期号：9

起止页码：77-82

中文期刊名：流体机械

外文期刊名：Fluid Machinery

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家自然科学基金项目(41877251)。

语种：中文

中文关键词：并联式压缩机组;蒸发温度;冷凝温度;压比;制冷量;COP;预测模型

外文关键词：parallel unit with several compressors;evaporation temperature;condensation temperature;pressure ratio;refrigerating capacity;COP;prediction model

摘要：基于并联式压缩机组水冷式测试台,对压缩机不同开启状态下,蒸发温度、冷凝温度、压缩机吸排气压比等工况条件对系统性能的影响规律进行分析,选用制冷量、COP、压缩机功耗、制冷剂流量作为机组性能衡量指标。试验结果显示:系统制冷量和COP均随蒸发温度的降低、冷凝温度的升高、压比的增加而减小,制冷剂流量随蒸发温度的升高、冷凝温度的降低、压比的增加而增大;压缩机功耗随着冷凝温度的升高、压比的增加而升高,但其受蒸发温度的影响并不大;最后基于试验数据,使用蒸发温度、冷凝温度对制冷剂流量、压缩机功耗的预测模型进行拟合,预测模型可实现对系统参数的高精度预测,其预测平均误差在±10%以内。
The influence laws of evaporation temperature,condensation temperature,compressor suction and exhaust pressure ratio on system performance were analyzed under different compressor status in the water-cooled test bench of a parallel compressor unit,and refrigerating capacity,COP,compressor power consumption and refrigerant mass flow rate were selected as performance indicators of the unit.Experimental results show that:both the refrigerating capacity and COP decrease with the decrease of evaporation temperature and the increase of condensation temperature and compressor suction-exhaust pressure ratio;whereas the refrigerant mass flow rate increases with the decrease of condensation temperature and the increase of evaporation temperature and compressor suction-exhaust pressure ratio;compressor power consumption increases with the increase of condensation temperature and compressor suction-exhaust pressure ratio,but evaporation temperature has little influence on compressor power consumption;finally,the prediction models of refrigerant mass flow rate and compressor power consumption were fitted by evaporation temperature and condensation temperature based on the experimental data,the prediction models have high prediction accuracy for system parameters with average prediction error falling within±10%.