Startseite Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
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Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation

  • Han zhang Wang EMAIL logo
Veröffentlicht/Copyright: 1. November 2023
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Chemical Product and Process Modeling
Aus der Zeitschrift Chemical Product and Process Modeling Band 19 Heft 1

Abstract

The generator energy consumption in the renewable refrigeration cycles is supplied by solar energy, geothermal energy and waste heat. The thermal energy of low grade can be utilized to superheat the vapour in a generator of the refrigeration cycle. The effect of primary flow superheating was examined on the renewable refrigeration cycle performance using the wet steam model in the ejector. The vapour’s degree of superheating was selected in the 0–100 K range. The superheating level effects were investigated on parameters (wet steam, entrainment ratio, energy consumption, COP, second law efficiency and exergy destruction). The aim of this study is a comprehensive evaluation of the effect of superheat on the ejector refrigeration cycle and the flow behavior in the steam ejector simultaneously. The results represented that superheating the inlet steam in the primary nozzle weakens the spontaneous condensation intensity and delays the condensation shock, the combining process between the secondary flow and the primary flow is improved, and the entrainment ratio is increased, the generator energy consumption and the efficiency of the second law are decreased, the exergy destruction in the ejector is reduced, and the total exergy destruction of the refrigeration cycle is increased. Considering the second law efficiency, COP, the entrainment ratio and the energy consumption, a temperature of 40° of the superheat was achieved as the best degree of the superheat in this cycle that in comparison to the state without superheating, the entrainment ratio and COP are increased by 4.4 % and 1 %, the second law efficiency and the generator energy consumption are reduced by 19.5 % and 1.6 %, respectively.

Keywords: wet steam; nucleation; superheating level; entrainment ratio; COP; exergy
Corresponding author: Han zhang Wang, Department of Energy and Construction Engineering, Harbin University of Commerce, Harbin 150028, China, E-mail:

  1. Research ethics: Not applicable.

  2. Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The author state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: Not applicable.

References

1. Chunnanond, K, Aphornratana, S. An experimental investigation of a steam ejector refrigerator: the analysis of the pressure profile along the ejector. Appl Therm Eng 2004;24:311–22. https://doi.org/10.1016/j.applthermaleng.2003.07.003.Suche in Google Scholar

2. Shakibi, H, Afzal, S, Shokri, A, Sobhani, B. Utilization of a phase change material with metal foam for the performance improvement of the photovoltaic cells. J Energy Storage 2022;51:104466. https://doi.org/10.1016/j.est.2022.104466.Suche in Google Scholar

3. Zhang, C, Lin, J, Tan, Y. A theoretical study on a novel combined organic Rankine cycle and ejector heat pump. Energy 2019;176:81–90. https://doi.org/10.1016/j.energy.2019.03.190.Suche in Google Scholar

4. Chen, J, Li, Y, Chen, W, Luo, X, Chen, Y, Yang, Z, et al.. Investigation of the ejector nozzle in refrigeration system. Energy 2018;157:571–87. https://doi.org/10.1016/j.energy.2018.05.172.Suche in Google Scholar

5. Jahangiri, A, Rahmani, F. Power production limitations due to the environmental effects on the thermal effectiveness of NDDCT in an operating powerplant. Appl Therm Eng 2018;141:444–55. https://doi.org/10.1016/j.applthermaleng.2018.05.108.Suche in Google Scholar

6. Jenssen, D, Berger, O, Krewer, U. Improved PEM fuel cell system operation with cascaded stack and ejector-based recirculation. Appl Energy 2017;195:324–33. https://doi.org/10.1016/j.apenergy.2017.03.002.Suche in Google Scholar

7. Liu, J, Wang, L, Jia, L, Wang, X. The influence of the area ratio on ejector efficiencies in the MED-TVC desalination system. Desalination 2017;413:168–75. https://doi.org/10.1016/j.desal.2017.03.017.Suche in Google Scholar

8. Ghorbanzadeh, S, Lakzian, E. Enhancement of the air ejector performance: primary nozzle and mixing chamber investigation. J Braz Soc Mech Sci Eng 2018;40:45. https://doi.org/10.1007/s40430-018-0975-1.Suche in Google Scholar

9. Wang, XD, Lei, HJ, Dong, JL, Tu, JY. The spontaneously condensing phenomena in a steam-jet pump and its influence on the numerical simulation accuracy. Int J Heat Mass Tran 2012;55:4682–7. https://doi.org/10.1016/j.ijheatmasstransfer.2012.04.028.Suche in Google Scholar

10. Han, Y, Wang, X, Sun, H, Zhang, G, Guo, L, Tu, J. CFD simulation on the boundary layer separation in the steam ejector and its influence on the pumping performance. Energy 2019;167:469–83. https://doi.org/10.1016/j.energy.2018.10.195.Suche in Google Scholar

11. Lu, W, Chen, H. Design of cylindrical mixing chamber ejector according to performance analyses. Energy 2018;164:594–601. https://doi.org/10.1016/j.energy.2018.09.025.Suche in Google Scholar

12. Palacz, M, Smolka, J, Kus, W, Fic, A, Bulinski, Z, Nowak, AJ, et al.. CFD-based shape optimization of a CO2 two-phase ejector mixing section. Appl Therm Eng 2016;95:62–9. https://doi.org/10.1016/j.applthermaleng.2015.11.012.Suche in Google Scholar

13. Chen, J, Havtun, H, Palm, B. Screening of working fluids for the ejector refrigeration system. Int J Refrig 2014;47:1–4. https://doi.org/10.1016/j.ijrefrig.2014.07.016.Suche in Google Scholar

14. Saleh, B. Performance analysis and working fluid selection for ejector refrigeration cycle. Appl Therm Eng 2016;107:114–24. https://doi.org/10.1016/j.applthermaleng.2016.06.147.Suche in Google Scholar

15. Aliabadi, MA, Bahiraei, M. Effect of water nano-droplet injection on steam ejector performance based on non-equilibrium spontaneous condensation: a droplet number study. Appl Therm Eng 2021;184:116236. https://doi.org/10.1016/j.applthermaleng.2020.116236.Suche in Google Scholar

16. Abadi, SN, Kouhikamali, R, Atashkari, K. Non-equilibrium condensation of wet steam flow within high-pressure thermo-compressor. Appl Therm Eng 2015;81:74–82. https://doi.org/10.1016/j.applthermaleng.2015.02.023.Suche in Google Scholar

17. Dykas, S, Wróblewski, W. Numerical modelling of steam condensing flow in low and high-pressure nozzles. Int J Heat Mass Tran 2012;55:6191–9. https://doi.org/10.1016/j.ijheatmasstransfer.2012.06.041.Suche in Google Scholar

18. Aliabadi, MA, Lakzian, E, Jahangiri, A, Khazaei, I. Numerical investigation of effects polydispersed droplets on the erosion rate and condensation loss in the wet steam flow in the turbine blade cascade. Appl Therm Eng 2020;164:114478. https://doi.org/10.1016/j.applthermaleng.2019.114478.Suche in Google Scholar

19. Yamamoto, S, Moriguchi, S, Miyazawa, H, Furusawa, T. Effect of inlet wetness on transonic wet-steam and moist-air flows in turbomachinery. Int J Heat Mass Tran 2018;119:720–32. https://doi.org/10.1016/j.ijheatmasstransfer.2017.12.001.Suche in Google Scholar

20. Somesaraee, MT, Rad, EA, Mahpeykar, MR. Analytical investigation of simultaneous effects of convergent section heating of Laval nozzle, steam inlet condition, and nozzle geometry on condensation shock. J Therm Anal Calorim 2018;133:1023–39. https://doi.org/10.1007/s10973-018-7126-x.Suche in Google Scholar

21. Zhang, G, Wang, X, Dykas, S, Aliabadi, MA. Reduction entropy generation and condensation by NaCl particle injection in wet steam supersonic nozzle. Int J Therm Sci 2022;171:107207. https://doi.org/10.1016/j.ijthermalsci.2021.107207.Suche in Google Scholar

22. Aliabadi, MA, Lakzian, E, Khazaei, I, Jahangiri, A. A comprehensive investigation of finding the best location for hot steam injection into the wet steam turbine blade cascade. Energy 2020;190:116397. https://doi.org/10.1016/j.energy.2019.116397.Suche in Google Scholar

23. Dykas, S, Wróblewski, W. Two-fluid model for prediction of wet steam transonic flow. Int J Heat Mass Tran 2013;60:88–94. https://doi.org/10.1016/j.ijheatmasstransfer.2012.12.024.Suche in Google Scholar

24. Aliabadi, MA, Zhang, G, Dykas, S, Li, H. Control of two-phase heat transfer and condensation loss in turbine blade cascade by injection water droplets. Appl Therm Eng 2021;186:116541. https://doi.org/10.1016/j.applthermaleng.2020.116541.Suche in Google Scholar

25. Wróblewski, W, Dykas, S. Two-fluid model with droplet size distribution for condensing steam flows. Energy 2016;106:112–20. https://doi.org/10.1016/j.energy.2016.03.052.Suche in Google Scholar

26. White, AJ, Hounslow, MJ. Modelling droplet size distributions in polydispersed wet-steam flows. Int J Heat Mass Tran 2000;43:1873–84. https://doi.org/10.1016/s0017-9310(99)00273-2.Suche in Google Scholar

27. Sharifi, N, Boroomand, M, Sharifi, M. Numerical assessment of steam nucleation on thermodynamic performance of steam ejectors. Appl Therm Eng 2013;52:449–59. https://doi.org/10.1016/j.applthermaleng.2012.12.003.Suche in Google Scholar

28. Ariafar, K, Buttsworth, D, Sharifi, N, Malpress, R. Ejector primary nozzle steam condensation: area ratio effects and mixing layer development. Appl Therm Eng 2014;71:519–27. https://doi.org/10.1016/j.applthermaleng.2014.06.038.Suche in Google Scholar

29. Ariafar, K, Buttsworth, D, Al-Doori, G, Malpress, R. Effect of mixing on the performance of wet steam ejectors. Energy 2015;93:2030–41. https://doi.org/10.1016/j.energy.2015.10.082.Suche in Google Scholar

30. Ariafar, K, Buttsworth, D, Al-Doori, G, Sharifi, N. Mixing layer effects on the entrainment ratio in steam ejectors through ideal gas computational simulations. Energy 2016;95:380–92. https://doi.org/10.1016/j.energy.2015.12.027.Suche in Google Scholar

31. Wang, C, Wang, L, Zou, T, Zhang, H. Influences of area ratio and surface roughness on homogeneous condensation in ejector primary nozzle. Energy Convers Manag 2017;149:168–74. https://doi.org/10.1016/j.enconman.2017.07.025.Suche in Google Scholar

32. Mazzelli, F, Giacomelli, F, Milazzo, A. CFD modeling of condensing steam ejectors: comparison with an experimental test-case. Int J Therm Sci 2018;127:7–18. https://doi.org/10.1016/j.ijthermalsci.2018.01.012.Suche in Google Scholar

33. Wang, X, Dong, J, Zhang, G, Fu, Q, Li, H, Han, Y, et al.. The primary pseudo-shock pattern of steam ejector and its influence on pumping efficiency based on CFD approach. Energy 2019;167:224–34. https://doi.org/10.1016/j.energy.2018.10.097.Suche in Google Scholar

34. Wang, X, Dong, J, Li, A, Lei, H, Tu, J. Numerical study of primary steam superheating effects on steam ejector flow and its pumping performance. Energy 2014;78:205–11. https://doi.org/10.1016/j.energy.2014.10.004.Suche in Google Scholar

35. Ludwig, EE. Applied process design for chemical and petrochemical plants. Texas: Gulf Professional Publishing; 1997.Suche in Google Scholar

36. Wang, C, Wang, L, Zhao, H, Du, Z, Ding, Z. Effects of superheated steam on non-equilibrium condensation in ejector primary nozzle. Int J Refrig 2016;67:214–26. https://doi.org/10.1016/j.ijrefrig.2016.02.022.Suche in Google Scholar

37. Ahmadpour, A, Abadi, SN, Meyer, JP. On the performance enhancement of thermo-compressor and steam turbine blade cascade in the presence of spontaneous nucleation. Energy 2017;119:675–93. https://doi.org/10.1016/j.energy.2016.11.022.Suche in Google Scholar

38. Al-Doori, GF. Investigation of refrigeration system steam ejector performance through experiments and computational simulations [Doctoral dissertation]. University of Southern Queensland; 2013.Suche in Google Scholar

39. Sharifi, N, Sharifi, M. Reducing energy consumption of a steam ejector through experimental optimization of the nozzle geometry. Energy 2014;66:860–7. https://doi.org/10.1016/j.energy.2014.01.055.Suche in Google Scholar

40. Sharifi, N, Boroomand, M. An investigation of thermo-compressor design by analysis and experiment: Part 1. Validation of the numerical method. Energy Convers Manag 2013;69:217–27. https://doi.org/10.1016/j.enconman.2012.12.009.Suche in Google Scholar

41. Dykas, S, Wróblewski, W. Single-and two-fluid models for steam condensing flow modeling. Int J Multiphas Flow 2011;37:1245–53. https://doi.org/10.1016/j.ijmultiphaseflow.2011.05.008.Suche in Google Scholar

42. Sohel, A, Ashab, B, Faisal, M. Determining appropriate strategy for managing the energy production system in the presence of renewable energy sources and improved intelligence method. Adv Eng Intell Syste 2022;1:1–13.Suche in Google Scholar

43. Sharifi, N, Boroomand, M, Kouhikamali, R. Wet steam flow energy analysis within thermo-compressors. Energy 2012;47:609–19. https://doi.org/10.1016/j.energy.2012.09.003.Suche in Google Scholar

44. Wróblewski, W, Dykas, S, Gepert, A. Steam condensing flow modeling in turbine channels. Int J Multiphas Flow 2009;35:498–506. https://doi.org/10.1016/j.ijmultiphaseflow.2009.02.020.Suche in Google Scholar

45. Mahpeykara, MR, Rad, EA, Teymourtash, AR. Analytical investigation into simultaneous effects of friction and heating on a supersonic nucleating Laval nozzle. Sci Iran 2014;21:1700.Suche in Google Scholar

46. Aliabadi, MA, Jahangiri, A, Khazaee, I, Lakzian, E. Investigating the effect of water nano-droplets injection into the convergent-divergent nozzle inlet on the wet steam flow using entropy generation analysis. Int J Therm Sci 2020;149:106181. https://doi.org/10.1016/j.ijthermalsci.2019.106181.Suche in Google Scholar

47. Hosseinizadeh, SE, Ghamati, E, Jahangiri, A, Majidi, S, Khazaee, I, Aliabadi, MA. Reduction of water droplets effects in steam turbine blade using Multi-objective optimization of hot steam injection. Int J Therm Sci 2023;187:108155. https://doi.org/10.1016/j.ijthermalsci.2023.108155.Suche in Google Scholar

48. Lakzian, E, Shaabani, S. Analytical investigation of coalescence effects on the exergy loss in a spontaneously condensing wet-steam flow. Int J Exergy 2015;16:383–403. https://doi.org/10.1504/ijex.2015.069115.Suche in Google Scholar

49. Abadi, SN, Ahmadpour, A, Abadi, SM, Meyer, JP. CFD-based shape optimization of steam turbine blade cascade in transonic two phase flows. Appl Therm Eng 2017;112:1575–89. https://doi.org/10.1016/j.applthermaleng.2016.10.058.Suche in Google Scholar

50. Mahpeykar, MR, Teymourtash, AR, Rad, EA. Theoretical investigation of effects of local cooling of a nozzle divergent section for controlling condensation shock in a supersonic two-phase flow of steam. Meccanica 2013;48:815–27. https://doi.org/10.1007/s11012-012-9634-2.Suche in Google Scholar

51. Ding, HB, Lia, Y, Lakzian, E, Wen, C, Wang, C. Entropy generation and exergy destruction in condensing steam flow through turbine blade with surface roughness. Energy Convers Manag 2019;196:1089–104. https://doi.org/10.1016/j.enconman.2019.06.066.Suche in Google Scholar

52. Menter, FR. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 1994;32:1598–605. https://doi.org/10.2514/3.12149.Suche in Google Scholar

53. Yang, Y, Wen, C, Wang, S, Feng, Y. Effect of inlet and outlet flow conditions on natural gas parameters in supersonic separation process. PLoS One 2014;9:e110313. https://doi.org/10.1371/journal.pone.0110313.Suche in Google Scholar PubMed PubMed Central

54. Moore, MJ. Predicting the fog-drop size in wet-steam turbines. Wet steam 1973;1.Suche in Google Scholar

55. Jahangiri, A, Yahyaabadi, MM, Sharif, A. Exergy and economic analysis of using the flue gas injection system of a combined cycle power plant into the Heller Tower to improve the power plant performance. J Clean Prod 2019;233:695–710. https://doi.org/10.1016/j.jclepro.2019.06.077.Suche in Google Scholar

56. Jahangiri, A, Borzooee, A, Armoudli, E. Thermal performance improvement of the three aligned natural draft dry cooling towers by wind breaking walls and flue gas injection under different crosswind conditions. Int J Therm Sci 2019;137:288–98. https://doi.org/10.1016/j.ijthermalsci.2018.11.028.Suche in Google Scholar
Received: 2023-04-20
Accepted: 2023-09-03
Published Online: 2023-11-01

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Research Articles
  3. Removal efficiency of organic chloride from naphtha fraction using micro and nano-γ-Al2O3 sintered adsorbents
  4. Energy, exergy, and economic analyses and optimization of a deethanizer tower of a petrochemical plant
  5. Solar driven desalination system for power and desalination water production by concentrated PVT and MED system
  6. Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
  7. Numerical investigation of the effects of dry gas model and wet steam model in solar-driven refrigeration ejector system
  8. Numerical investigation of different biomass feedstock on syngas production using steam gasification and thermodynamic analysis
  9. Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
  10. Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
  11. Classification and authentication of operating conditions in different processes using Partial Least Squares
  12. Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
https://doi.org/10.1515/cppm-2023-0038
Schlagwörter für diesen Artikel
wet steam; nucleation; superheating level; entrainment ratio; COP; exergy

Artikel in diesem Heft

  1. Frontmatter
  2. Research Articles
  3. Removal efficiency of organic chloride from naphtha fraction using micro and nano-γ-Al2O3 sintered adsorbents
  4. Energy, exergy, and economic analyses and optimization of a deethanizer tower of a petrochemical plant
  5. Solar driven desalination system for power and desalination water production by concentrated PVT and MED system
  6. Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
  7. Numerical investigation of the effects of dry gas model and wet steam model in solar-driven refrigeration ejector system
  8. Numerical investigation of different biomass feedstock on syngas production using steam gasification and thermodynamic analysis
  9. Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
  10. Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
  11. Classification and authentication of operating conditions in different processes using Partial Least Squares
  12. Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
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