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Pressure recovery ratio in a variable cooling loads ejector-based multi-evaporator refrigeration system

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  • Lin, Chen
  • Cai, Wenjian
  • Li, Yanzhong
  • Yan, Jia
  • Hu, Yu

Abstract

In this paper, the Computational Fluid Dynamics (CFD) technique is used to investigate the influences of varying cooling loads on the ejector pressure recovery performance in an ejector-based multi-evaporator refrigeration system (EMERS) using R134a as the refrigerant. The performance of pressure recovery in the EMERS reflects the performance of the compression energy saving. The developed CFD model is first validated by actual experimental data from the EMERS. Turbulence model constants are carefully selected in order to minimize the model prediction error. Over 200 different cases are studied using the model to find the effects of varying cooling loads on pressure recovery ratio. The results indicate that pressure recovery ratio is very sensitive to the varying primary and secondary flow cooling loads. The maximum pressure recovery ratio can reach 60% as the cooling loads vary. It was found that in order to keep the system stable, the primary and secondary cooling loads should be maintained within ±5% and ±10%, respectively, in which case the pressure recovery ratio will have a maximum ratio of 32.8%.

Suggested Citation

  • Lin, Chen & Cai, Wenjian & Li, Yanzhong & Yan, Jia & Hu, Yu, 2012. "Pressure recovery ratio in a variable cooling loads ejector-based multi-evaporator refrigeration system," Energy, Elsevier, vol. 44(1), pages 649-656.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:649-656
    DOI: 10.1016/j.energy.2012.05.027
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    References listed on IDEAS

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    1. Lin, Chen & Cai, Wenjian & Li, Yanzhong & Yan, Jia & Hu, Yu, 2012. "The characteristics of pressure recovery in an adjustable ejector multi-evaporator refrigeration system," Energy, Elsevier, vol. 46(1), pages 148-155.
    2. Sarkar, Jahar, 2012. "Ejector enhanced vapor compression refrigeration and heat pump systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6647-6659.
    3. Haghparast, Payam & Sorin, Mikhail V. & Nesreddine, Hakim, 2018. "The impact of internal ejector working characteristics and geometry on the performance of a refrigeration cycle," Energy, Elsevier, vol. 162(C), pages 728-743.
    4. Bai, Tao & Yan, Gang & Yu, Jianlin, 2015. "Thermodynamics analysis of a modified dual-evaporator CO2 transcritical refrigeration cycle with two-stage ejector," Energy, Elsevier, vol. 84(C), pages 325-335.
    5. Zhang, Ying & Deng, Shuai & Ni, Jiaxin & Zhao, Li & Yang, Xingyang & Li, Minxia, 2017. "A literature research on feasible application of mixed working fluid in flexible distributed energy system," Energy, Elsevier, vol. 137(C), pages 377-390.
    6. Yang, Mina & Jung, Chung Woo & Kang, Yong Tae, 2015. "Development of high efficiency cycles for domestic refrigerator-freezer application," Energy, Elsevier, vol. 93(P2), pages 2258-2266.
    7. Wang, Xiao & Yu, Jianlin, 2015. "An experimental investigation on a novel ejector enhanced refrigeration cycle applied in the domestic refrigerator-freezer," Energy, Elsevier, vol. 93(P1), pages 202-209.
    8. Besagni, Giorgio & Mereu, Riccardo & Inzoli, Fabio, 2016. "Ejector refrigeration: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 373-407.
    9. Wang, Xiao & Yu, Jianlin & Zhou, Mengliu & Lv, Xiaolong, 2014. "Comparative studies of ejector-expansion vapor compression refrigeration cycles for applications in domestic refrigerator-freezers," Energy, Elsevier, vol. 70(C), pages 635-642.
    10. Li, Shengyu & Yan, Jia & Liu, Zhan & Yao, Yong & Li, Xianbi & Wen, Na & Zou, Guorong, 2019. "Optimization on crucial ejector geometries in a multi-evaporator refrigeration system for tropical region refrigerated trucks," Energy, Elsevier, vol. 189(C).

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