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Journal of Solar Energy Research Updates

Articles

Vol. 11 (2024)

The Energy Consumption Comparison of Temperature Difference-based Defrosting Exit Method and Time-based Defrosting Exit Method with Various Static Pressure Differences

DOI
https://doi.org/10.31875/2410-2199.2024.11.08
Submitted
December 4, 2024
Published
2024-12-04

Abstract

The time-based defrosting exit method(TDEM) has been widely used in cold storage, but the issue of energy consumption has been heavily criticized. In this paper, a temperature difference-based defrosting exit method(TDDEM) is proposed to compare with TDEM. Firstly, a parameter acquisition system of cold storage is constructed, and the experimental setup is conducted to determine the experimental parameters. Subsequentially, the range of defrosting static pressure difference is determined based on pre-frosting experiment, and the defrosting experiment of TDEM and TDDEM are carried out at five various static pressure difference conditions, 16Pa, 14Pa, 12Pa, 10Pa and 8Pa, respectively. The results show that the temperature fluctuations per defrosting events of TDEM are more severe compared to TDDEM, with with average increases of 102.2%, 91.6%, 59.3%, and 46.5%, respectively. Energy consumptions of TDDEM are markedly lower than TDEM, with reductions of 21.4%, 15.7%, 14.09% and 14.59%, respectively. Whether TDEM or TDDEM, the lowest energy consumption is occurred at 10Pa, and highest is 8Pa.

References

  1. Jiang S, Ye S, Hanfei Q, et al. Research Progress on New Technology of Energy Saving and Emission Reduction in Perishable Food Refrigeration Chain [J]. Journal of Refrigeration, 2011, 32 (06): 69-73.
  2. Wang F, Wang Z, Zheng Y, et al. Performance investigation of a novel frost-free air-source heat pump water heater combined with energy storage and dehumidification [J]. Applied Energy, 2015, 139(feb.1): 212-219. https://doi.org/10.1016/j.apenergy.2014.11.018
  3. Xilong W. The Research of Continuous Defrosting of Refrigeration Storage [D]. Tianjin University of Commerce, 2017.
  4. Mengjie S, Cheng F, Ning M, et al. An experimental study on time-based start defrosting control strategy optimization for an air source heat pump unit with frost evenly distributed and melted frost locally drained [J]. Energy and Buildings, 2018, 178:26-37. https://doi.org/10.1016/j.enbuild.2018.08.027
  5. Wei W, Xu W, Yuying S, et al. Influence of different defrosting cycles on operating performance of air-source heat pumps [J]. Heating Ventilating & Air Conditioning, 2018, 48 (06): 1-7+60.
  6. Zhu J, Sun Y, Wang W, et al. A novel Temperature-Humidity-Time defrosting control method based on a frosting map for air-source heat pumps [J]. International Journal of Refrigeration, 2015, 54: 45-54. https://doi.org/10.1016/j.ijrefrig.2015.02.005
  7. Dengke H. Experimental Research on Defrosting of Cold Storage System Based on Frost Layer Visualization and Fuzzy PID Control [D]. Tianjin University of Commerce, 2023.
  8. Ruiting S, Experimental Study on the Effect of Reduction of Defrost Heat by the Top-mounted Cold Storage Plate on Temperature Field of Cold Storage [D]. Tianjin University of Commerce, 2017.
  9. Chung Y, Na S I, Choi J M, et al. Feasibility and optimization of defrosting control method with differential pressure sensor for air source heat pump systems [J]. Applied Thermal Engineering, 2019, 155: 461-469. https://doi.org/10.1016/j.applthermaleng.2019.04.002
  10. Junda Z, Huan S, Xinghua L, et al. Theoretical and experimental research on a new defrosting control strategy based on differential pressure sensor [J]. International Journal of Refrigeration, 2022, 143: 11-18. https://doi.org/10.1016/j.ijrefrig.2022.06.031
  11. Zheng X, Shi R, You S, et al. Experimental study of defrosting control method based on image processing technology for air source heat pumps [J]. Sustainable Cities and Society, 2019, 51: 101667. https://doi.org/10.1016/j.scs.2019.101667
  12. Malik A N, Khan S A, Lazoglu I. A novel demand-actuated defrost approach based on the real-time thickness of frost for the energy conservation of a refrigerator [J]. International Journal of Refrigeration, 2021 (131-): 131. https://doi.org/10.1016/j.ijrefrig.2021.07.032
  13. Yuchen S, Haoyang Z, Sophie W. Detection of frost growth and distribution on louver and offset strip fins of a microchannel heat exchanger using capacitance sensing approach [J]. International Journal of Heat and Mass Transfer, 2023, 217. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124650
  14. Qi W. Research on Intelligent Defrosting Control Based on the Principle of Parallel Plate Capacitors[D]. Tianjin University of Commerce, 2023.
  15. Yong H. Research on Defrosting Control Method of Air Source Heat Pump Based on Image Processing Technology [D]. Tianjin University, 2018.
  16. Dazhen Y. Defrosting Control Method of Air Source Heat Pump Based on Fractal Theory for Image Recognition [D]. Tianjin University, 2018.
  17. Miao H, Yang X, Yin D, et al. A novel defrosting control strategy with image processing technique and fractal theory [J]. International Journal of Refrigeration, 2022,138:259-269. https://doi.org/10.1016/j.ijrefrig.2022.03.002
  18. Jiang S, Wei D, Pengcheng X. Research on Defrost Control of Cold Storage Cooling Fan Based on Neural Network Model [J]. Fluid Machinery, 2020, 48 (04): 72-77.
  19. Pengcheng X. Research on Automatic Defrost Control Strategy Based on Intelligent Algorithm [D]. Tianjin University of Commerce, 2019.
  20. Zhao H, Li P, Li J, et al. Applying neural network model to real-time frosting detection and intelligent defrosting control for air source heat pump [J]. Applied Energy, 2025, 377 (PA): 124444-124444. https://doi.org/10.1016/j.apenergy.2024.124444
  21. Lulu N, Qingjiang L, Xilong W. End time of continuous hot gas defrosting in small cold storage [J]. Refrigeration and Air-Conditioning, 2022, 22 (04): 54-57.
  22. Yue Z, Guofeng Z. A Discussion on The Bernoulli's Equation of Ideal Gas under Isothermal Condition [J]. Physics and Engineering, 2021, 31 (01): 22-24.
  23. Society of Heating, Refrigeratingand Air-Condi-Americantioning Engineers. ASHRAE handbook [M]. Atanta, Ga: American Society of Heating, Refrigerating and Air Conditioning Engineers, 2017.
  24. Jie P, Zhili S, Yabo S, et al. Experimental Research on Heat Transfer Performance of Single-tube Multi-row Finned Tube Evaporator [J]. Journal of Refrigeration, 2022, 43 (01): 116-122.