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Thermodynamic performance analysis of a grade compression auto-cascade refrigeration cycle with multi-dephlegmation processes

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  • Chen, Sen
  • Li, Xiuzhen
  • Song, Ziyun
  • Tan, Yingying
  • Wang, Zhanwei
  • Wang, Lin

Abstract

The traditional auto-cascade refrigeration cycle with a single-stage compressor (BACR) still faces limitations such as low refrigeration efficiency and restricted refrigeration temperatures, hindering its widespread adoption. To address these issues and simultaneously reduce refrigeration temperature while improving the coefficient of performance (COP), this paper proposes a two-step dephlegmation and dual-stage compression auto-cascade refrigeration cycle (TDDCR). A theoretical comparative analysis is conducted to evaluate the effects of composition ratio, total compression ratio, condensation temperature and evaporation temperature on the thermodynamic performance of TDDCR using R1150/R600a. The results indicate that TDDCR achieves a refrigeration temperature of −80 °C and lifts the COP to 0.432, a substantial improvement over the COP of 0.226 for BACR. Within the condensation temperature range of 25 °C–35 °C, the TDDCR exhibits an increase in COP ranging from 72.39 % to 237.88 % compared to BACR. To obtain the optimal thermodynamic performance, the dephlegmation temperature in TDDCR should align with the evaporation temperature. Furthermore, the TDDCR achieves a 42.76 % reduction in total exergy destruction compared to the BACR. Environmental analysis also reveals a 47.68 % decrease in the total equivalent warming impact (TEWI) for the TDDCR compared to the BACR, demonstrating its superior environmental sustainability performance. Overall, the comparative analysis demonstrates the significant potential for performance improvement in the proposed TDDCR.

Suggested Citation

  • Chen, Sen & Li, Xiuzhen & Song, Ziyun & Tan, Yingying & Wang, Zhanwei & Wang, Lin, 2025. "Thermodynamic performance analysis of a grade compression auto-cascade refrigeration cycle with multi-dephlegmation processes," Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:energy:v:325:y:2025:i:c:s036054422501789x
    DOI: 10.1016/j.energy.2025.136147
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    References listed on IDEAS

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    1. Ye, Wenlian & Liu, Yang & Zhou, Zhongyou & Hu, Lulu & Liu, Yingwen, 2025. "Performance prediction of an auto-cascade refrigeration system using multiple-algorithmic approaches," Energy, Elsevier, vol. 314(C).
    2. Hao, Xinyue & Wang, Lin & Wang, Zhanwei & Tan, Yingying & Yan, Xiaona, 2018. "Hybrid auto-cascade refrigeration system coupled with a heat-driven ejector cooling cycle," Energy, Elsevier, vol. 161(C), pages 988-998.
    3. Tan, Yingying & Li, Xiuzhen & Wang, Lin & Huang, Lisheng & Xiao, Yi & Wang, Zhanwei & Li, Shaoqiang, 2023. "Thermodynamic performance of the fractionated auto-cascade refrigeration cycle coupled with two-phase ejector using R1150/R600a at −80 °C temperature level," Energy, Elsevier, vol. 281(C).
    4. Yilmaz, Tuncay & Erdinç, Mehmet Tahir, 2019. "Energetic and exergetic investigation of a novel refrigeration system utilizing ejector integrated subcooling using different refrigerants," Energy, Elsevier, vol. 168(C), pages 712-727.
    5. Liu, Shuilong & Bai, Tao & Wei, Yuan & Yu, Jianlin, 2023. "Performance analysis of a modified ejector-enhanced auto-cascade refrigeration cycle," Energy, Elsevier, vol. 265(C).
    6. Karacayli, Ibrahim & Altay, Lutfiye & Hepbasli, Arif, 2024. "A parametric study on energy, exergy and exergoeconomic assessments of a modified auto-cascade refrigeration cycle supported by a dual evaporator refrigerator," Energy, Elsevier, vol. 291(C).
    7. Li, Yinlong & Dong, Peiwen & Liu, Guoqiang & Yan, Gang, 2024. "Thermodynamic performance analysis of the fractionation and flash separation auto-cascade refrigeration cycle using low GWP refrigerant," Energy, Elsevier, vol. 308(C).
    8. Li, Yinlong & Liu, Guoqiang & Chen, Qi & Yan, Gang, 2023. "Progress of auto-cascade refrigeration systems performance improvement: Composition separation, shift and regulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    9. Bai, Tao & Yan, Gang & Yu, Jianlin, 2022. "Influence of internal heat exchanger position on the performance of ejector-enhanced auto-cascade refrigeration cycle for the low-temperature freezer," Energy, Elsevier, vol. 238(PC).
    10. Qin, Yanbin & Li, Nanxi & Zhang, Hua & Liu, Baolin, 2021. "Energy and exergy analysis of a Linde-Hampson refrigeration system using R170, R41 and R1132a as low-GWP refrigerant blend components to replace R23," Energy, Elsevier, vol. 229(C).
    11. Qin, Yanbin & Li, Nanxi & Zhang, Hua & Liu, Baolin, 2022. "Study on the performance of an energy-efficient three-stage auto-cascade refrigeration system enhanced with a pressure regulator," Energy, Elsevier, vol. 258(C).
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