摘要
在给定蒸发温度或冷凝温度下,采用EES软件对船用超低温R404A单机双级压缩制冷系统进行仿真计算,并以R404A单机双级压缩制冷系统组成的船用超低温试验台为依托,进行变工况的实验验证,分析了蒸发温度与冷凝温度对压缩机排气温度、压缩机轴功率、制冷性能系数等制冷系统性能参数的影响。结果表明:随着蒸发温度的降低或冷凝温度的上升,压缩机排气温度呈增大趋势,且仿真计算结果与实验结果吻合较好,两者制冷性能系数值的偏差保持在0.5左右,验证了模型的可靠性,且当蒸发温度上升或冷凝温度下降5℃时,蒸发温度对制冷效率的影响较冷凝温度要高7.8%以上。
The R404 Asingle machine two-stage compression refrigeration system for marine ultra-low temperature was simulated by EES when the evaporation temperature or the condensation temperature changes.Experimental verification of simulation results was carried out on the basis of the ultra-low temperature experimental platform consisting of R404 Asingle machine two-stage compression refrigeration system with different conditions.The effect of evaporating temperature and condensing temperature on the performance of the single stage two-stage compression refrigeration system such as compressor exhaust temperature,COP and the compressor power was analyzed.The results indicated that with the decrease of evaporation temperature or increase of condensing temperature,the exhaust temperature of the compressor increased.The simulation results were in good agreement with the experimental results,the deviations value of the refrigeration performance between the experimental test and the simulation results was about 0.5,and the reliability of the model was verified.Experimental results showed that when the evaporating temperature rises or the condensation temperature drops by 5℃,the effect of evaporating temperature on COP was up to 7.8% than that of condensing temperature.The research results can provide reference for the follow-up work and have great practical engineering significance.
作者
汪磊
谢晶
王金锋
杨大章
周洪剑
WANG Lei;XIE Jing;WANG Jin-feng;YANG Da-zhang;ZHOU Hong-jian(Shanghai Ocean University, Shanghai 201306, China)
出处
《食品与机械》
CSCD
北大核心
2018年第3期103-107,共5页
Food and Machinery
基金
国家"十三五"重点研发项目(编号:2016YFD0400303)
上海市科委平台能力提升项目(编号:16DZ2280300)
上海市科委公共服务平台建设项目(编号:17DZ2293400)
关键词
单机双级制冷系统
船用超低温实验台
仿真计算
single machine two stage refrigeration system
marine ultra-low temperature experimental bench
simulation