Hybrid tallies to improve performance in depletion Monte Carlo simulations

Jose L. Salcedo-Perez, Benoit Forget, Kord Smith, Paul K. Romano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In order to solve the transition matrix of the Bateman equations during transmutation analysis, the following reaction rates are usually needed: (n, fission), (n, 2n), (n, 3n), (n, 4n), (n, p), (n, α), and (n, γ). Tallying all rates through a Monte Carlo simulation can be quite expensive for realistic light water reactors. An alternative approach to compute these rates is to collapse a very fine-group flux together with a pregenerated multigroup cross section (constructed with the same energy grid). While this approach provides a 3x speedup in the active cycles performance, it introduces a considerable memory penalty. The issue is that thousands of groups are needed to accurately resolve the (n, γ) rates, most notably that of 238U. This study explores a hybrid approach in which threshold reaction rates are computed through the flux tally route while more relevant rates such as (n, γ) and (n, fission) are handled with a standard reaction rate tally. This option provides more flexibility in reducing the total number of groups because threshold reactions, in general, have smoother shapes. Multiple error analyses were carried out on the proposed hybrid method; the results show that even when going as low as 300 groups, the eigenvalue is still within 100 pcm of a traditional simulation.

Original languageEnglish
Title of host publicationInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
PublisherAmerican Nuclear Society
Pages927-936
Number of pages10
ISBN (Electronic)9780894487699
StatePublished - 2019
Externally publishedYes
Event2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 - Portland, United States
Duration: Aug 25 2019Aug 29 2019

Publication series

NameInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019

Conference

Conference2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
Country/TerritoryUnited States
CityPortland
Period08/25/1908/29/19

Funding

This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy (DOE) Office of Science and the National Nuclear Security Administration. This material was based on work supported by the U.S. DOE, Office of Science, under contract DE-ACO2-06CH11357.

Keywords

  • Error analysis
  • Hybrid tallies
  • Performance

Fingerprint

Dive into the research topics of 'Hybrid tallies to improve performance in depletion Monte Carlo simulations'. Together they form a unique fingerprint.

Cite this