A domain-specific analysis system for examining nuclear reactor simulation data for light-water and sodium-cooled fast reactors

Journal Article · Sun Nov 01 00:00:00 EDT 2015 · Annals of Nuclear Energy

DOI:https://doi.org/10.1016/j.anucene.2015.07.002· OSTI ID:1247875

Billings, Jay Jay; Deyton, Jordan H.; Forest Hull, III, S.; Lingerfelt, Eric J.; Wojtowicz, Anna

Building new fission reactors in the United States presents many technical and regulatory challenges. Chief among the technical challenges is the need to share and present results from new high- fidelity, high- performance simulations in an easily consumable way. In light of the modern multi-scale, multi-physics simulations can generate petabytes of data, this will require the development of new techniques and methods to reduce the data to familiar quantities of interest with a more reasonable resolution and size. Furthermore, some of the results from these simulations may be new quantities for which visualization and analysis techniques are not immediately available in the community and need to be developed. Our paper describes a new system for managing high-performance simulation results in a domain-specific way that naturally exposes quantities of interest for light water and sodium-cooled fast reactors. It enables easy qualitative and quantitative comparisons between simulation results with a graphical user interface and cross-platform, multi-language input- output libraries for use by developers to work with the data. One example comparing results from two different simulation suites for a single assembly in a light-water reactor is presented along with a detailed discussion of the system s requirements and design.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Nuclear Energy (NE)
• Grant/Contract Number: AC05-00OR22725; AC05-00OR22750
• OSTI ID: 1247875
• Alternate ID(s): OSTI ID: 1279386
• Journal Information: Annals of Nuclear Energy, Journal Name: Annals of Nuclear Energy Vol. 85 Journal Issue: C; ISSN 0306-4549
• Publisher: Elsevier
• Country of Publication: United Kingdom
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
nuclear reactors
LWR
SFR
simulation
modeling
high-performance computing