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Numerical modeling of a novel two-stage linear refrigeration compressor
[Linear compressors for electronics cooling: energy recovery and its benefits]

Author

Listed:
  • Hao Shen
  • Zhaohua Li
  • Kun Liang
  • Xinwen Chen

Abstract

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.

Suggested Citation

  • Hao Shen & Zhaohua Li & Kun Liang & Xinwen Chen, 2022. "Numerical modeling of a novel two-stage linear refrigeration compressor [Linear compressors for electronics cooling: energy recovery and its benefits]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 436-445.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:436-445.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctac021
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    References listed on IDEAS

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    1. Liang, Kun & Stone, Richard & Davies, Gareth & Dadd, Mike & Bailey, Paul, 2014. "Modelling and measurement of a moving magnet linear compressor performance," Energy, Elsevier, vol. 66(C), pages 487-495.
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    Cited by:

    1. Hossein Asgharian & Florin Iov & Samuel Simon Araya & Thomas Helmer Pedersen & Mads Pagh Nielsen & Ehsan Baniasadi & Vincenzo Liso, 2023. "A Review on Process Modeling and Simulation of Cryogenic Carbon Capture for Post-Combustion Treatment," Energies, MDPI, vol. 16(4), pages 1-35, February.
    2. Zhiping Zhang & Hongye Qiu & Dantong Li & Zhilong He & Ziwen Xing & Lijian Wu, 2022. "Development of Ultra-High-Efficiency Medium-Capacity Chillers with Two-Stage Compression and Interstage Vapor Injection Technologies," Energies, MDPI, vol. 15(24), pages 1-19, December.

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