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The characteristics of pressure recovery in an adjustable ejector multi-evaporator refrigeration system

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

Abstract

In this paper, Computational Fluid Dynamics (CFD) technique is used to investigate the adaption of adjustable ejector for variable cooling loads and the characteristics of ejector pressure recovery in a multi-evaporator refrigeration system (EMERS) using R134a as the refrigerant. The performance of pressure recovery reflects the performance of the compression energy saving. The developed CFD model is first validated by actual experimental data of an EMERS (ejector-based multi-evaporator refrigeration system). Turbulence model constants are carefully selected in order to minimize the model prediction error. The calibrated model is then solved to find the adaption property of the adjustable ejector and the effects of varying cooling loads on and the pressure recovery ratio. The results indicate that the adjustable ejector using spindle to adjust the throat area of primary nozzle is an efficient solution to control the primary operating pressure in constant for system stability. Pressure recovery ratio is sensitive to the varying of cooling loads and the relationship between them is then presented.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:46:y:2012:i:1:p:148-155
    DOI: 10.1016/j.energy.2012.09.007
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    References listed on IDEAS

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    Cited by:

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    3. Tang, Yongzhi & Liu, Zhongliang & Li, Yanxia & Shi, Can & Lv, Chen, 2019. "A combined pressure regulation technology with multi-optimization of the entrainment passage for performance improvement of the steam ejector in MED-TVC desalination system," Energy, Elsevier, vol. 175(C), pages 46-57.
    4. Rashidi, M.M. & Aghagoli, A. & Raoofi, R., 2017. "Thermodynamic analysis of the ejector refrigeration cycle using the artificial neural network," Energy, Elsevier, vol. 129(C), pages 201-215.
    5. Wang, Lei & Liu, Jiapeng & Zou, Tao & Du, Jingwei & Jia, Fengze, 2018. "Auto-tuning ejector for refrigeration system," Energy, Elsevier, vol. 161(C), pages 536-543.
    6. Song, Tao & Tian, Jinyi & Ni, Long & Shen, Chao & Yao, Yang, 2018. "Experimental study on enhanced separation of a novel de-foulant hydrocyclone with a reflux ejector," Energy, Elsevier, vol. 163(C), pages 490-500.
    7. 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.
    8. Yiming Zhao & Haoran Li & Dapeng Hu & Minghao Liu & Qing Feng, 2022. "Study on the Performance of Collaborative Production Mode for Gas Wave Ejector," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    9. Abed, Azher M. & Alghoul, M.A. & Sopian, K. & Majdi, Hasan Sh. & Al-Shamani, Ali Najah & Muftah, A.F., 2017. "Enhancement aspects of single stage absorption cooling cycle: A detailed review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1010-1045.
    10. 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.
    11. Bodys, Jakub & Smolka, Jacek & Palacz, Michal & Haida, Michal & Banasiak, Krzysztof & Nowak, Andrzej J. & Hafner, Armin, 2016. "Performance of fixed geometry ejectors with a swirl motion installed in a multi-ejector module of a CO2 refrigeration system," Energy, Elsevier, vol. 117(P2), pages 620-631.
    12. 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.
    13. 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).
    14. Wang, Chen & Wang, Lei & Wang, Xinli & Zhao, Hongxia, 2017. "Design and numerical investigation of an adaptive nozzle exit position ejector in multi-effect distillation desalination system," Energy, Elsevier, vol. 140(P1), pages 673-681.

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