TY - GEN
T1 - Scale covariance libraries for sodium-cooled fast reactor systems
AU - Bostelmann, Friederike
AU - Zwermann, Winfried
AU - Pautz, Andreas
N1 - Publisher Copyright:
© 2018 by PHYSOR 2018. All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - As basis for systematic uncertainty and sensitivity analyses of fast spectrum systems with the GRS code XSUSA, new multi-group covariance libraries are generated considering a typical neutron flux spectrum of a sodium-cooled fast system as weighting function and a sufficient number of energy groups in the fast energy region. A covariance library with only a few energy groups is desired to allow informative sensitivity analyses when performing uncertainty analyses based on the random-sampling approach. Several libraries with a reduced number of energy groups are therefore generated. The performance of these few-group covariance libraries in comparison with a very fine 2082-group library is investigated in uncertainty analyses using the SCALE code TSUNAMI with a metal and an oxide fuel assembly model, respectively, in terms of the eigenvalue, the Doppler reactivity and the sodium void reactivity. The total output uncertainties obtained with the few-group covariance libraries show relative differences to reference calculations of less than 5% for all investigated cases. The comparison of the individual contributions of the most important covariance matrices also leads to satisfying results. A comparably coarse energy group structure of the covariance data with only 8 energy groups is found to be adequate for a reasonable assessment of the uncertainties of important quantities in the analysis of the fast systems under consideration.
AB - As basis for systematic uncertainty and sensitivity analyses of fast spectrum systems with the GRS code XSUSA, new multi-group covariance libraries are generated considering a typical neutron flux spectrum of a sodium-cooled fast system as weighting function and a sufficient number of energy groups in the fast energy region. A covariance library with only a few energy groups is desired to allow informative sensitivity analyses when performing uncertainty analyses based on the random-sampling approach. Several libraries with a reduced number of energy groups are therefore generated. The performance of these few-group covariance libraries in comparison with a very fine 2082-group library is investigated in uncertainty analyses using the SCALE code TSUNAMI with a metal and an oxide fuel assembly model, respectively, in terms of the eigenvalue, the Doppler reactivity and the sodium void reactivity. The total output uncertainties obtained with the few-group covariance libraries show relative differences to reference calculations of less than 5% for all investigated cases. The comparison of the individual contributions of the most important covariance matrices also leads to satisfying results. A comparably coarse energy group structure of the covariance data with only 8 energy groups is found to be adequate for a reasonable assessment of the uncertainties of important quantities in the analysis of the fast systems under consideration.
KW - Covariance library
KW - SCALE
KW - SFR
KW - Sensitivity analysis
KW - Uncertainty analysis
UR - http://www.scopus.com/inward/record.url?scp=85106015662&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85106015662
T3 - International Conference on Physics of Reactors, PHYSOR 2018: Reactor Physics Paving the Way Towards More Efficient Systems
SP - 3778
EP - 3789
BT - International Conference on Physics of Reactors, PHYSOR 2018
PB - Sociedad Nuclear Mexicana, A.C.
T2 - 2018 International Conference on Physics of Reactors: Reactor Physics Paving the Way Towards More Efficient Systems, PHYSOR 2018
Y2 - 22 April 2018 through 26 April 2018
ER -