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  • 标题:Numerical modeling of a novel two-stage linear refrigeration compresso
  • 本地全文:下载
  • 作者:Hao Shen ; Zhaohua Li ; Kun Liang
  • 期刊名称:Intl Jnl of Low-Carbon Technologies
  • 印刷版ISSN:1748-1317
  • 电子版ISSN:1748-1325
  • 出版年度:2022
  • 卷号:17
  • 页码:436-445
  • DOI:10.1093/ijlct/ctac021/6550748
  • 语种:English
  • 出版社:Oxford University Press
  • 摘要:Linear compressors have started to apply in refrigeration owing to their oil-free operation, capacity modulation by variable stroke and higher seasonal efficiency. Nevertheless, linear compressors are subject to a high seal leakage loss and piston offset (drift), particularly at high pressure ratios. Meanwhile, there is a reduction in the accuracy of resonant frequency prediction due to very nonlinear gas spring at high pressure ratios, leading to a reduction in the compressor efficiency. Two-stage operation is considered as a feasible solution to the aforementioned issues due to the lower pressure ratio for each stage. A numerical model of two-stage compression system using linear compressors is presented in this study to investigate the system performance under various operating conditions. The proposed numerical model consists of a thermodynamic sub-model, a piston dynamic sub-model and a reed valve dynamic sub-model. Experiments are also conducted based on a refrigeration system with two linear compressors connected in parallel to validate the proposed model. The mean absolute percentage errors of the predicted mass flow rate and power input are 2.47% and 8.49%, respectively. The modeling results show that the coefficient of performance is 5.5 for a two-stage compression system and 2.0 for a single-stage compression system while the condenser temperature and evaporator temperature are 50°C and −23°C, respectively. The two-stage compression system offers superior performance to the single-stage system.
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