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Auto-tuning ejector for refrigeration system

Author

Listed:
  • Wang, Lei
  • Liu, Jiapeng
  • Zou, Tao
  • Du, Jingwei
  • Jia, Fengze

Abstract

In this paper, an auto-tuning AR (area ratio) ejector and an auto-tuning NXP (nozzle exit position) ejector are designed to solve the contradictions between the fixed structure and the dynamic primary pressure driven by multi-condition low-grade heat energy. A CFD (Computational Fluid Dynamics) model is used to calculate the performance of the ejector under different operational conditions. The effects of both AR and NXP on the performance of the ejector are systematically studied. The optimal area ratio increases linearly along with the primary pressure, and the optimum NXP decreases as the primary flow pressure increases. Following this, auto-tuning AR and NXP ejectors are designed to enhance the performance of the ejector by self-adjusting the AR and NXP with a variation in primary flow pressure. Simulation results show that the auto-tuning ejector has a strong ability to improve the ejector performance compared with the constant structure ejector.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:161:y:2018:i:c:p:536-543
    DOI: 10.1016/j.energy.2018.07.110
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    References listed on IDEAS

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    1. 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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    3. 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.
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    Citations

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    Cited by:

    1. Braimakis, Konstantinos, 2021. "Solar ejector cooling systems: A review," Renewable Energy, Elsevier, vol. 164(C), pages 566-602.
    2. Bi, Rongshan & Chen, Chen & Li, Jiansong & Tan, Xinshun & Xiang, Shuguang, 2018. "Research on the CFD numerical simulation of flash boiling atomization," Energy, Elsevier, vol. 165(PA), pages 768-781.
    3. Bartosz Gil & Jacek Kasperski, 2018. "Efficiency Evaluation of the Ejector Cooling Cycle using a New Generation of HFO/HCFO Refrigerant as a R134a Replacement," Energies, MDPI, vol. 11(8), pages 1-17, August.
    4. Shizhen Li & Wei Li & Yanjun Liu & Chen Ji & Jingzhi Zhang, 2020. "Experimental Investigation of the Performance and Spray Characteristics of a Supersonic Two-Phase Flow Ejector with Different Structures," Energies, MDPI, vol. 13(5), pages 1-17, March.
    5. Llorenç Macia & Robert Castilla & Pedro Javier Gamez-Montero & Gustavo Raush, 2022. "Multi-Factor Design for a Vacuum Ejector Improvement by In-Depth Analysis of Construction Parameters," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    6. Besagni, Giorgio, 2019. "Ejectors on the cutting edge: The past, the present and the perspective," Energy, Elsevier, vol. 170(C), pages 998-1003.
    7. Baby-Jean Robert Mungyeko Bisulandu & Rami Mansouri & Adrian Ilinca, 2023. "Diffusion Absorption Refrigeration Systems: An Overview of Thermal Mechanisms and Models," Energies, MDPI, vol. 16(9), pages 1-36, April.
    8. Tashtoush, Bourhan M. & Al-Nimr, Moh'd A. & Khasawneh, Mohammad A., 2019. "A comprehensive review of ejector design, performance, and applications," Applied Energy, Elsevier, vol. 240(C), pages 138-172.

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