DOI QR코드

DOI QR Code

Effects of the electronic expansion valve and variable velocity compressor on the performance of a refrigeration system

  • Lago, Taynara G.S. (Department of Energy, Faculty of Mechanical Engineering, State University of Campinas, UNICAMP) ;
  • Ismail, Kamal A.R. (Department of Energy, Faculty of Mechanical Engineering, State University of Campinas, UNICAMP) ;
  • Nobrega, Claudia R.E.S. (Department of Energy, Faculty of Mechanical Engineering, State University of Campinas, UNICAMP) ;
  • Moura, Luiz F.M. (Department of Energy, Faculty of Mechanical Engineering, State University of Campinas, UNICAMP)
  • Received : 2019.04.03
  • Accepted : 2019.11.21
  • Published : 2020.03.25

Abstract

Energy consumption of air-conditioning and refrigeration systems is responsible for about 25 to 30% of the energy demand especially in hot seasons. This equipment is mostly electricity dependent and their use in principle affects negatively the environment. Enhancing the energy efficiency of the existing equipment is important as one of the measures to reduce environment impacts. This paper reports the results of an experimental study to evaluate the impacts of the use electronic expansion valve and variable velocity compressor on the performance of vapor compression refrigeration system. The experimental rig is composed of two independent circuits one for the vapor compression system and the other is the secondary fluid system. The vapor compression system is composed of a forced air condenser unit, evaporator, hermetic compressor and expansion elements, while the secondary system has a pump for circulating the secondary fluid, and an air conditioning heat exchanger. The manufacturer's data was used to determine the optimal points of operation of the system and consequently tests were done to evaluate the influence of variation of the compressor velocity and the opening of the expansion device on the performance of the refrigeration system. A fuzzy logic model was developed to control the rotational velocity of the compressor and the thermal load. Fuzzy control model was made in LabVIEW software with the objective of improving the system performance, stability and energy saving. The results showed that the use of fuzzy logic as a form of control strategy resulted in a better energy efficiency.

Keywords

Acknowledgement

Supported by : ELDORADO Institute

The authors acknowledge the support given to this investigation by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) and the second author wishes to thank the CNPq for the PQ Research Grant. The authors also would like to extend their gratitude to EMBRACO, CAREL and NOVUS for offering the compressor, electronic expansion valve and data acquisition system, respectively. Finally, we thank the ELDORADO Institute for the support and contribution to the realization of this project.

References

  1. Aprea, C. and Mastrullo, R. (2002), "Experimental evaluation of electronic and thermostatic expansion valves performances using R22 and R407C", Appl. Therm. Eng., 22(2), 205-218. https://doi.org/10.1016/S1359-4311(01)00071-0.
  2. Aprea, C., Mastrullo, R. and Renno, C. (2004), "Fuzzy control of the compressor speed in a refrigeration plant", Int. J. Refrig., 27(6), 639-648. https://doi.org/10.1016/j.ijrefrig.2004.02.004.
  3. Aprea, C. and Renno, C. (2004), "An experimental analysis of a thermodynamic model of a vapour compression refrigeration plant on varying the compressor speed", Int. J. Energy Res., 28(6), 537-549. https://doi.org/10.1002/er.983.
  4. Atas, S., Aktas, M., Ceylan, I. and Dogan, H. (2017), "Development and analysis of a multi-evaporator cooling system with electronic expansion valves", Arab. J. Sci. Eng., 42, 4513-4521. https://doi.org/10.1007/s13369-017-2523-1
  5. Choi, J. and Kim, Y. (2003), "Capacity modulation of an inverter-driven multi-air conditioner using electronic expansion valves", Energy, 28(2), 141-155. https://doi.org/10.1016/S0360-5442(02)00113-5.
  6. Dantas, T.S.S.S., Franco, I.C., Fileti, A.M.F. and Silva, F.V. (2017), "Dynamic linear modeling of a refrigeration process with electronic expansion valve actuator", Int. J. Refrig., 75, 311-321. https://doi.org/10.1016/j.ijrefrig.2017.01.014.
  7. Ekren, O., Sahin, S. and Isler, Y. (2010), "Comparison of different controllers for variable speed compressor and electronic expansion valve", Int. J. Refrig., 33(6), 1161-1168. https://doi.org/10.1016/J.IJREFRIG.2010.05.005.
  8. Filho, E.P.B., Garcia, F.E.M. and Mendoza, O.S.H. (2011), "Application of adaptive control in a refrigeration system to improve performance", J. Brazilian Soc. Mech. Sci. Eng., 33(2), 176-182. https://doi.org/10.1590/S1678-58782011000200008.
  9. Gill, J. and Singh, J. (2017), "Performance analysis of vapor compression refrigeration system using an adaptive neuro-fuzzy inference system", Int. J. Refrig., 82, 436-446. https://doi.org/10.1016/j.ijrefrig.2017.06.019.
  10. ISO 917 (1989), Testing of Refrigerant Compressors, 2ed, Geneve, Switzerland, pp. 31
  11. Kizilkan, O. (2011), "Thermodynamic analysis of variable speed refrigeration system using artificial neural networks", Expert Syst. Appl., 38(9), 11686-11692. https://doi.org/10.1016/j.eswa.2011.03.052.
  12. Koury, R.N.N., Machado, L. and Ismail, K.A.R. (2001), "Numerical simulation of a variable speed refrigeration system", Int. J. Refrig., 24(2), 192-200. https://doi.org/10.1016/S0140-7007(00)00014-1.
  13. Lago, T.G.S. (2016), "Estudo experimental e controle de um sistema de refrigeracao com compressor de velocidade variavel e valvula de expansao eletronica", Master Dissertation, Unicamp University, Campinas, Brazil.
  14. Lazzarin, R. and Noro, M. (2008), "Experimental comparison of electronic and thermostatic expansion valves performances in an air conditioning plant", Int. J. Refrig., 31(1), 113-118. https://doi.org/10.1016/j.ijrefrig.2007.09.004.
  15. Mamdani, E.H. (1974), "Application of fuzzy algorithms for control of simple dynamic plant", Proc. Inst. Electr. Eng., 121(12), 1585. https://doi.org/10.1049/piee.1974.0328.
  16. Park, C., Lee, S., Kang, H. and Kim, Y. (2007), "Experimentation and modeling of refrigerant flow through coiled capillary tubes", Int. J. Refrig., 30(7), 1168-1175. https://doi.org/10.1016/j.ijrefrig.2007.02.011.
  17. Shang, Y., Wu, A., Fang, X. and You, Y. (2016), "Dynamic simulation of electronic expansion valve controlled refrigeration system under different heat transfer conditions", Int. J. Refrig., 72, 41-52. https://doi.org/10.1016/j.ijrefrig.2016.07.020.
  18. Ma, S., Zhang, C., Chen, J. and Cheng, Z. (2005), "Experimental research on refrigerant mass flow coefficient of electronic expansion valve", Appl. Therm. Eng., 25(14-15), 2351-2366. https://doi.org/10.1016/j.applthermaleng.2004.12.005.
  19. Tassou, S. and Qureshi, T. (1998), "Comparative performance evaluation of positive displacement compressors in variable-speed refrigeration applications", Int. J. Refrig., 21(1), 29-41. https://doi.org/10.1016/S0140-7007(97)00082-0.
  20. Tesfay, M., Alsaleem, F., Arunasalam, P. and Rao, A. (2018), "Adaptive-model predictive control of electronic expansion valves with adjustable setpoint for evaporator superheat minimization", Build. Environ., 133, 151-160. https://doi.org/10.1016/j.buildenv.2018.02.015.
  21. Xia, Y. and Deng, S. (2016), "The influences of the operating characteristics of an electronic expansion Valve (EEV) on the operational stability of an EEV controlled direct expansion air conditioning system", Int. J. Refrig., 69, 394-406. https://doi.org/10.1016/j.ijrefrig.2016.06.008.
  22. Zhang, C.L. (2005), "Generalized correlation of refrigerant mass flow rate through adiabatic capillary tubes using artificial neural network", Int. J. Refrig., 28(4), 506-514. https://doi.org/10.1016/j.ijrefrig.2004.11.004