DOI QR코드

DOI QR Code

Code development on steady-state thermal-hydraulic for small modular natural circulation lead-based fast reactor

  • Zhao, Pengcheng (School of Nuclear Science and Technology, University of South China) ;
  • Liu, Zijing (School of Nuclear Science and Technology, University of South China) ;
  • Yu, Tao (School of Nuclear Science and Technology, University of South China) ;
  • Xie, Jinsen (School of Nuclear Science and Technology, University of South China) ;
  • Chen, Zhenping (School of Nuclear Science and Technology, University of South China) ;
  • Shen, Chong (School of Nuclear Science and Technology, University of Science and Technology of China)
  • Received : 2019.05.28
  • Accepted : 2020.05.23
  • Published : 2020.12.25

Abstract

Small Modular Reactors (SMRs) are attracting wide attention due to their outstanding performance, extensive studies have been carried out for lead-based fast reactors (LFRs) that cooled with Lead or Lead-bismuth (LBE), and small modular natural circulation LFR is one of the promising candidates for SMRs and LFRs development. One of the challenges for the design small modular natural circulation LFR is to master the natural circulation thermal-hydraulic performance in the reactor primary circuit, while the natural circulation characteristics is a coupled thermal-hydraulic problem of the core thermal power, the primary loop layout and the operating state of secondary cooling system etc. Thus, accurate predicting the natural circulation LFRs thermal-hydraulic features are highly required for conducting reactor operating condition evaluate and Thermal hydraulic design optimization. In this study, a thermal-hydraulic analysis code is developed for small modular natural circulation LFRs, which is based on several mathematical models for natural circulation originally. A small modular natural circulation LBE cooled fast reactor named URANUS developed by Korea is chosen to assess the code's capability. Comparisons are performed to demonstrate the accuracy of the code by the calculation results of MARS, and the key thermal-hydraulic parameters agree fairly well with the MARS ones. As a typical application case, steady-state analyses were conducted to have an assessment of thermal-hydraulic behavior under nominal condition, and several parameters affecting natural circulation were evaluated. What's more, two characteristics parameters that used to analyze natural circulation LFRs natural circulation capacity were established. The analyses show that the core thermal power, thermal center difference and flow resistance is the main factors affecting the reactor natural circulation. Improving the core thermal power, increasing the thermal center difference and decreasing the flow resistance can significantly increase the reactor mass flow rate. Characteristics parameters can be used to quickly evaluate the natural circulation capacity of natural circulation LFR under normal operating conditions.

Keywords

Acknowledgement

This work is supported by the "Characteristics Analysis and Influence Research of Core Power Redistribution and Pool Complex Thermal Stratification for Pump-driven Lead-cooled Fast Reactor under Asymmetric Operation Conditions" of Natural Science Foundation of Hunan Province (Grant No. 2019JJ40239), "Pre-research on key technologies of small long-life natural circulation lead-bismuth fast reactor" of Open Foundation of Science and Technology on Reactor System Design Technology Laboratory (Grant No. HT-KFKT-10-2018001) and Opening Project of Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment, University of South China (Grant No. 2019KFZ08).

References

  1. J. Liman, Small modular reactors: methodology of economic assessment focused on incremental construction and gradual shutdown options, Prog. Nucl. Energy 108 (2018) 253-259.
  2. P. Lorusso, S. Bassini, A. Del Nevo, et al., GEN-IV LFR development: status & perspectives, Prog. Nucl. Energy 105 (2018) 318-331.
  3. J. Zhang, LeadeB ismuth eutectic (LBE): a coolant candidate for gen. IV advanced nuclear reactor concepts, Adv. Eng. Mater. 16 (4) (2014) 349-356.
  4. S. Bortot, A. Moisseytsev, J.J. Sienicki, et al., Core design investigation for a SUPERSTAR small modular lead-cooled fast reactor demonstrator, Nucl. Eng. Des. 241 (8) (2011) 3021-3031.
  5. P. Hejzlar, J. Buongiorno, P.E. Macdonald, et al., Design strategy and constraints for medium-power lead-alloyecooled actinide burners, Nucl. Technol. 147 (3) (2004) 321-343.
  6. C. Rubbia, et al., Conceptual Design of a Fast Neutron Operated High Power Energy Amplifier, 1995. CERN/AT/95-44 (ET).
  7. D.S. Samokhin, G.L. Khorasanov, I.V. Tormyshev, et al., Low-power lead-cooled fast reactor for education purposes, Nuclear Energy and Technology 1 (3) (2015) 191-194.
  8. S. Choi, J.H. Cho, M.H. Bae, et al., PASCAR: long burning small modular reactor based on natural circulation, Nucl. Eng. Des. 241 (5) (2011) 1486-1499.
  9. Y.H. Shin, S. Choi, J. Cho, et al., Advanced passive design of small modular reactor cooled by heavy liquid metal natural circulation, Prog. Nucl. Energy 83 (2015) 433-442.
  10. Y. Wu, Y. Bai, Y. Song, et al., Development strategy and conceptual design of China lead-based research reactor, Ann. Nucl. Energy 87 (2016) 511-516.
  11. H. Chen, Z. Chen, C. Chen, et al., Conceptual design of a small modular natural circulation lead cooled fast reactor SNCLFR-100, Int. J. Hydrogen Energy 41 (17) (2016) 7158-7168.
  12. A. Mangal, V. Jain, A.K. Nayak, Capability of the RELAP5 code to simulate natural circulation behavior in test facilities, Prog. Nucl. Energy 61 (2012) 1-16.
  13. K. Mikityuk, Heat transfer to liquid metal: review of data and correlations for tube bundles, Nucl. Eng. Des. 239 (4) (2009) 680-687.
  14. H. Chen, Z. Chen, C. Chen, et al., Conceptual design of a small modular natural circulation lead cooled fast reactor SNCLFR-100, Int. J. Hydrogen Energy 41 (17) (2016) 7158-7168.
  15. Z. Chen, P. Zhao, G. Zhou, et al., Study of core flow distribution for small modular natural circulation lead or lead-alloy cooled fast reactors, Ann. Nucl. Energy 72 (2014) 76-83.
  16. C. Fazio, V.P. Sobolev, A. Aerts, et al., Handbook on Lead-Bismuth Eutectic Alloy and Lead Properties, Materials Compatibility, Thermal-Hydraulics and Technologies-2015 edition[R], Organisation for Economic Co-Operation and Development, 2015.
  17. J.K. Fink, Thermophysical properties of uranium dioxide, J. Nucl. Mater. 279 (1) (2000) 1-18.
  18. C. Duriez, J.P. Alessandri, T. Gervais, et al., Thermal conductivity of hypo-stoichiometric low Pu content (U, Pu) O2- x mixed oxide, J. Nucl. Mater. 277 (2-3) (2000) 143-158.
  19. A. Weisenburger, A. Heinzel, G. Muller, et al., T91 cladding tubes with and without modified FeCrAlY coatings exposed in LBE at different flow, stress and temperature conditions, J. Nucl. Mater. 376 (3) (2008) 274-281.
  20. X. Cheng, N. Tak, Investigation on turbulent heat transfer to lead-bismuth eutectic flows in circular tubes for nuclear applications, Nucl. Eng. Des. 236 (4) (2006) 385-393.
  21. K. Mikityuk, Heat transfer to liquid metal: review of data and correlations for tube bundles, Nucl. Eng. Des. 239 (4) (2009) 680-687.
  22. E.H. Novendstern, Turbulent flow pressure drop model for fuel rod assemblies utilizing a helical wire-wrap spacer system, Nucl. Eng. Des. 22 (1) (1972) 28-42.
  23. M. Schikorr, E. Bubelis, L. Mansani, et al., Proposal for pressure drop prediction for a fuel bundle with grid spacers using Rehme pressure drop correlations, Nucl. Eng. Des. 240 (7) (2010) 1830-1842.
  24. C. Choi, T. Jeong, S. An, Thermal-hydraulic analyses of passive reactor vault cooling system (RVCS) in PGSFR using MARS-LMR, Ann. Nucl. Energy 117 (2018) 333-342.

Cited by

  1. Exergetic design and analysis of a nuclear SMR reactor tetrageneration (combined water, heat, power, and chemicals) with designed PCM energy storage and a CO2 gas turbine inner cycle vol.53, pp.2, 2021, https://doi.org/10.1016/j.net.2020.07.007
  2. An Exergetic Model for the Ambient Air Temperature Impacts on the Combined Power Plants and its Management Using the Genetic Algorithm vol.29, pp.1, 2020, https://doi.org/10.1142/s2010132521500085