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Thermophysical parameters of steam gas flow in refrigerating chambers with controlled atmosphere. Numerical analysis

DOI: 10.21047/1606-4313-2017-16-3-47-52
UDC 621.565.7

Thermophysical parameters of steam gas flow in refrigerating chambers with controlled atmosphere. Numerical analysis

Petrov E. T., Opalikhin A.F.

For citation: Petrov E.T., Opalikhin A.F. Thermophysical parameters of steam gas flow in refrigerating chambers with controlled atmosphere. Numerical analysis. Vestnik Mezhdunarodnoi akademii kholoda. 2017. No 3. p. 47-52

Abstract
The article deals with the results of the work on the development of a mathematical model for refrigeration and process equipment in refrigerated chambers with controlled atmosphere taking into account the variable aerodynamic characteristics of the network during operation. Numerical investigation was carried out using the example of a chamber with the capacity of 200 tons, with dimensions of 15×8×7 m for storing apples under the influence of two main influencing parameters (mass flow and changing the angle of installation of the deflector). The main parameters determining the efficiency of the cooling system are chosen. Numerical analysis of the mathematical model was carried out, the degree the main parameters’ influence on the uniformity of temperature and humidity fields in the cramped chamber of the refrigerator was revealed, the main methods of optimal control during operation, ensuring compliance with the requirements of technological regulations, were selected. The intensity of circulation of steam-gas flows at each moment of time is determined from the condition that the characteristics of the fans and the gas dynamic characteristics are consistent, where the intensity of the frost formation on the surface of the air cooler and the corresponding change in the mass flow rate are the determining ones. An analysis of the data obtained by the numerical study shows that these two parameters have a significant effect on the unevenness of the temperature-humidity fields and can be used in the formation of a general adaptive control algorithm.

Keywords: refrigerating chamber, controlled atmosphere, project, air distribution, fruit storage, mathematical model, numerical analysis

All references

1. Rukavishnikov A.M., Shavel' A.P., Vlasov A.P. RGS – the system of saving of fruits and vegetables.Kholodil'nyi biznes. 2016. No 4. p. 18-26. (in Russian)

2. Petrov E.T., Kruglov A.A., Opalikhin A.F. Features research of experimental and predesign chamber fruits and vegetables store with controlled atmosphere. Vestnik Mezhdunarodnoi akademii kholoda. No. 3, 2016. P. 62-67. (in Russian)

3. Gudkovsky V.A., etc. Innovative technologies of storage of fruits.Dostizheniya nauki i tekhniki APK. 2010. No. 8. P. 72-74. (in Russian)

4. Abramovich G.N. Applied gas dynamics. Vol. 2. Moscow, Nauka, 1991. 600 p. (in Russian)

5. Averin G.D., Alekseev A.V. Dependence of the relative humidity of air in food storage chambers from the conditions of operation of cooling devices. Kholodil'naya tekhnika. 1992. No 1.17-20 p. (in Russian)

6. Kuprin D.A.Determination of the intensity of heat release during storage of plant products.Kholodil'naya tekhnika. 1980. No 7. p. 30-32. (in Russian)

7. Aleksandrov, Y. New solution - refrigerators for fruits and vegetables that use solar energy to achieve positive temperatures. Bulgarian Journal of Agricultural Science.2017.Vol. 23.Issue 3.рр. 498-504.

8. Petrov E.T., Mikhnovsky E.L. Optimization of refrigeration systems in the process of computer-aided design. Collection of scientific papers. "Computer-aided design of pipeline systems of oil refining and petrochemical industries." Moscow, 1982. (in Russian)

9. Petrov E.T. Features of computer-aided design systems, cold supply large power enterprises. Izvestija SPbGUNiPT. 2004. No 1. (in Russian)

10. Grimitlin M.I. Air distribution in the premises. St. Petersburg, AVOK Northwest, 2004. 319 p. (in Russian)

11. Sajjadi, H., Salmanzadeh, M., Ahmadi, G., Jafari, S.Turbulent indoor airflow simulation using hybrid LES/RANS model utilizing Lattice Boltzmann method. Computers and Fluids.2017. Vol. 150.рр. 66-73.

12. Kurylev E.S. Petrov E.T., Mikhnovsky E.L. Automated Design of refrigeration units. Kholodil'naya tekhnika. No 5. 1981. (in Russian)

13. Balan E.F., Kyurkchu I.I. The new system of ductless air distribution in a fruit storage chambers. Kholodil'naya tekhnika. 1991. No 3. 2-6 p. (in Russian)

14. Anderson D., Tannehill J., Pletcher R. Computational Hydromechanics and heat transfer. In two volumes. Moscow, Mir, 1990. 384 p. (in Russian)

15. Ferziger J.H., Perić M. Computational Methods for Fluid Dynamics. 3 rd rev. ed., Berlin et al. Springer, 2002. 423 p.

16. Scaar H, Praeger U., Gottschalk K, Jedermann R. Experimental and numerical analysis of airflow in fruit and vegetable cold stores. LANDTECHNIK 72(1), 2017, 1-12 p.

Ambaw, A., Bessemans, N., Gwanpua, S.G. Evaluation of energy saving schemes in an apple cool store using computational fluid dynamics, Conference paper, IIR International Congress of Refrigeration, edition 24, article 636, Yokohama, Japan, August 16-22, 2015.

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