Acceleration and Real Variance Reduction in Continuous-Energy Monte Carlo Whole-Core Calculation via p-CMFD Feedback

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In the three-dimensional (3-D) continuous-energy whole-core reactor analysis, the partial current-based coarse mesh finite difference (p-CMFD) feedback was applied to the Monte Carlo (MC) k-eigenvalue problem simulation for both inactive and active iterations (cycles). To reduce the stochastic errors in the p-CMFD parameters and their biases due to the ratio-type estimators, the first-in-first-out (FIFO) accumulation scheme was introduced in the MC/p-CMFD procedure. The MC/p-CMFD procedure was tested on a typical pressurized water reactor 3-D continuous-energy whole-core problem while varying the FIFO queue lengths and the results were compared with the conventional power iteration. The Shannon entropy analysis showed that MC/p-CMFD accelerates the convergence of the fission source distributions and mitigates the spatial clustering phenomenon. The real variance analysis also showed that MC/p-CMFD reduces the interiteration correlation, leading to the most real variance reduction in the local MC tallies at the optimum queue length (L = 5). It was also shown that a nontrivial bias was introduced by the p-CMFD feedback, especially for the global tally (k(eff)) with L = 1. However, the bias decreased as the tally bin size became smaller and it was effectively reduced by increasing the queue length (L >= 5). In conclusion, the MC/p-CMFD procedure showed promising capability for 3-D continuous-energy whole-core reactor analysis by MC simulation.
Publisher
TAYLOR & FRANCIS INC
Issue Date
2018-03
Language
English
Article Type
Article
Keywords

EIGENVALUE CALCULATIONS; CONVERGENCE; SIMULATION; FISSION; ENTROPY; BIASES; ERROR

Citation

NUCLEAR SCIENCE AND ENGINEERING, v.189, no.1, pp.26 - 40

ISSN
0029-5639
DOI
10.1080/00295639.2017.1373517
URI
http://hdl.handle.net/10203/241089
Appears in Collection
NE-Journal Papers(저널논문)
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