DOI QR코드

DOI QR Code

Effect of critical flow model in MARS-KS code on uncertainty quantification of large break Loss of coolant accident (LBLOCA)

  • Received : 2019.02.25
  • Accepted : 2019.09.27
  • Published : 2020.04.25

Abstract

The critical flow phenomenon has been studied because of its significant effect for design basis accidents in nuclear power plants. Transition points from thermal non-equilibrium to equilibrium are different according to the geometric effect on the critical flow. This study evaluates the uncertainty parameters of the critical flow model for analysis of DBA (Design Basis Accident) with the MARS-KS (Multi-dimensional Analysis for Reactor Safety-KINS Standard) code used as an independent regulatory assessment. The uncertainty of the critical flow model is represented by three parameters including the thermal non-equilibrium factor, discharge coefficient, and length to diameter (L/D) ratio, and their ranges are determined using large-scale Marviken test data. The uncertainty range of the thermal non-equilibrium factor is updated by the MCDA (Model Calibration through Data Assimilation) method. The updated uncertainty range is confirmed using an LBLOCA (Large Break Loss of Coolant Accident) experiment in the LOFT (Loss of Fluid Test) facility. The uncertainty ranges are also used to calculate an LBLOCA of the APR (Advanced Power Reactor) 1400 NPP (Nuclear Power Plants), focusing on the effect of the PCT (Peak Cladding Temperature). The results reveal that break flow is strongly dependent on the degree of the thermal non-equilibrium state in a ruptured pipe with a small L/D ratio. Moreover, this study provides the method to handle the thermal non-equilibrium factor, discharge coefficient, and length to diameter (L/D) ratio in the system code.

Keywords

References

  1. H.K. Fauske, Contribution to the Theory of Two-phase, One Component Critical Flow, 1962. ANL-6633.
  2. R.E. Henry, H.K. Fauske, The two-phase critical flow of one-component mixtures in nozzles, orifices and short tubes, ASME J. Heat Transf. (1974) 179-187.
  3. F.J. Moody, Maximum flow rate of a single component, two-phase mixture, ASME J. Heat Transf. (1965) 134-142.
  4. G.L. Sozzi, W.A. Shtherland, Critical Flow of Saturated and Subcooled Water at High Pressure, 1975. NEDO-13418.
  5. F.R. Zaloudek, Critical Flow of Hot Water through Short Tubes, 1963. General Electric HW-77594.
  6. Y.S. Kim, H.S. Park, An overall investigation of break simulators for LOCA scenarios in integral effect tests, J. Korean Soc. Energy 23 (2014) 73-87. https://doi.org/10.7836/kses.2014.34.2.073
  7. Y.S. Kim, Overview of geometrical effects on the critical flow rate of subcooled and saturated water, Ann. Nucl. Sci. Eng. 76 (2015) 12-18. https://doi.org/10.1016/j.anucene.2014.09.028
  8. J.H. Heo, K.D. Kim, PAPIRUS, a parallel computing framework for sensitivity analysis uncertainty propagation and estimation of parameter distribution, Nucl. Eng. Des. 92 (2015) 237-247.
  9. Y.S. Bang, I.G. Kim, Improvement of the ECCS Best Estimate Methodology and Assessment of LOFT L2-5 Experiment, 2005. KINS/RR-279.
  10. KINS, MARS-KS Code Manual Volume II: Input Requirements, 2016. KINS/RR-1282 Rev.1.
  11. USNRC, Assessment of Two-phase Critical Flow Models Performance in RELAP5 and TRACE against Marviken Critical Flow Tests, 2012. NuREG/IA-0401.
  12. R.E. Henry, H.K. Fauske, Two-phase critical flow at low qualities part I: experimental, Nucl. Sci. Eng. 41 (1970) 79-91. https://doi.org/10.13182/NSE70-A20366
  13. D.Y. Oh, I.S. Lee, Uncertainty Quantification for Critical Flow Model, 2018. BEPU2018-284.
  14. S.S. Wilks, Determination of sample sizes for setting tolerance limits, Ann. Math. Stat. 12 (1941) 91-96. https://doi.org/10.1214/aoms/1177731788
  15. USNRC, Experiment Data Report for LOFT Large Break Loss of Coolant Experiment L2-5, 1982. NuREG/CR-2826.

Cited by

  1. A Sensitivity Study of Critical Flow Modeling with MELCOR 2.2 Code Based on the Marviken CFT-21 Experiment vol.14, pp.16, 2020, https://doi.org/10.3390/en14164985