Skip to main content

Propagation of Nuclear Data Uncertainties for PWR Burnup Calculation

  • Conference paper
  • First Online:
Proceedings of The 20th Pacific Basin Nuclear Conference (PBNC 2016)

Included in the following conference series:

Abstract

As the nuclear data are from either the experiment measurements or the estimation models, uncertainties would arise from the insufficient measurements and/or modeling uncertainties. The uncertainties in nuclear data would have effects on the best-estimated prediction results of the reactor system. In this paper, our home-developed code UNICORN, which has the capability of uncertainties analysis for the neutron physics calculations, has been applied to quantify the response uncertainties of the PWR burnup calculation introduced by the uncertainties of multigroup microscopic cross-section libraries. The burnup benchmark proposed by UAM (“Uncertainty Analysis in Modeling”) is selected for the demonstration purpose. Relative uncertainties of k , two-group constants and isotope concentrations with the fuel burnup introduced by the nuclear data uncertainties are quantified. It is observed that the relative uncertainty of the eigenvalue is 0.5%; the relative uncertainties of the two-group constants vary between 0.3% (for the Σ t,2) and 1.9% (for the vΣ f,2); the relative uncertainties for the isotope concentrations can reach 30%. These relative uncertainties introduced by the nuclear data are significant for the neutron physics calculations and cannot be ignored.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. K. Ivanov, M. Avramova, S. Kamerow, et al. 2013. Benchmarks for Uncertainty Analysis in Modelling (UAM) for the Design, Operation and Safety Analysis of LWRs. OECD Nuclear Energy Agency. NEA/NSC/DOC(2013)7.

    Google Scholar 

  2. M. Pusa, 2012. Incorporating Sensitivity and Uncertainty Analysis to a Lattice Physics Code with Application to CASMO-4. Annals of Nuclear Energy 40, 153–162.

    Google Scholar 

  3. W. Wieselquist, A. Vasiliev, H. Ferroukhi, 2012. Nuclear Data Uncertainty Propagation in a Lattice Physics Code Using Stochastic Sampling. PHYSOR 2012, Tennessee, USA.

    Google Scholar 

  4. B. T. Rearden, L. M. Petrie, M. A. Jessee, 2009. SAMS: Sensitivity Analysis Nodule for SCALE. Nuclear Science and Technology Division, Vol. II, Sect. F22.

    Google Scholar 

  5. A. J. Koning, D. Rochman, 2008. Towards sustainable nuclear energy: putting nuclear physics to work. Ann. Nucl. Energy 35 (11), 2024–2030.

    Google Scholar 

  6. F. Leszczynski, D. L. Aldama, A. Trkov, 2007. WIMS-D Library Update: Final Report of a Coordinated Research Project. International Atomic Energy Agency.

    Google Scholar 

  7. G. Marleau, A. Hébert, R. Roy, 2014. A User Guide for DRAGON Version 4. Technical Report, IGE-294.

    Google Scholar 

  8. C. Wan, L. Cao, H. Wu, et al. 2015. Code development for eigenvalue total sensitivity analysis and total uncertainty analysis. Ann. Nucl. Energy 85, 788–797.

    Google Scholar 

  9. C. J. Díez, O. Buss, A. Hoefer, et al. 2015. Comparison of nuclear data uncertainty propagation methodologies for PWR burnup simulations.

    Google Scholar 

Download references

Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 11522544).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chenghui Wan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Wan, C., Cao, L., Wu, H., Zu, T., Shen, W. (2017). Propagation of Nuclear Data Uncertainties for PWR Burnup Calculation. In: Jiang, H. (eds) Proceedings of The 20th Pacific Basin Nuclear Conference. PBNC 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-2314-9_76

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2314-9_76

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2313-2

  • Online ISBN: 978-981-10-2314-9

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics