Abstract
In order to make meaningful comparisons between all of the different fuel performance codes, it is crucial that the same geometry and boundary conditions be applied. To simplify the process of making comparisons, an python based parser for fuel performance calculations, Pin2Perform, was created. In order to make Pin2Perform flexible, such that it can be applied to any fuel performance code, a code specific input template is required. Each template contains human readable brackets identifying the location of geometry, materials, boundary conditions, and other user options necessary for the fuel performance model. Pin2Perform populates each bracket with a corresponding entry in a metadata file. Each metadata file summarizes the information obtained from a fuel performance experiment. This methodology allows for code comparison studies to be carried out with little effort for different fuel performance experiments. In order to demonstrate the practicality of Pin2Perform, metadata files have been created for the BR3, and GAIN fuel performance experiments, which come from NEA/IAEA International Fuel Performance Experiments (IFPE) database. Pin2Perform was then used to propagat this data into BISON and FINIX input files.
Original language | English (US) |
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Pages | 445-449 |
Number of pages | 5 |
State | Published - 2020 |
Event | 14th International Nuclear Fuel Cycle Conference, GLOBAL 2019 and Light Water Reactor Fuel Performance Conference, TOP FUEL 2019 - Seattle, United States Duration: Sep 22 2019 → Sep 27 2019 |
Conference
Conference | 14th International Nuclear Fuel Cycle Conference, GLOBAL 2019 and Light Water Reactor Fuel Performance Conference, TOP FUEL 2019 |
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Country/Territory | United States |
City | Seattle |
Period | 9/22/19 → 9/27/19 |
ASJC Scopus subject areas
- Fuel Technology
- Nuclear Energy and Engineering