Abstract
The U.S. Department of Energy has developed a variety of nuclear fuel cycle performance data using detailed simulations of nuclear fuel cycle reactor stage performance information. Key examples include the Nuclear Fuel Cycle Evaluation and Screening (E&S) study and a legacy Transmutation Data Library (TDL) for dynamic fuel cycle simulation. The E&S study and the TDL contain information from over 600 different fuel cycle option reactor stages. This information is stored in the form of Excel spreadsheets, Word documents, and text files. In support of the U.S. Department of Energy, Office of Nuclear Energy (DOE-NE) Office of Nuclear Technology Research and Development's System Analysis and Integration Campaign (previously known as the Fuel Cycle Options Campaign), this data was collected and imported into a MySQL database using modern software development best practices. We describe why this was conducted, the process for implementation, the verification of the data, and how this increases accessibility and functionality of this data to users and stakeholders. We also identify some of the interfaces and applications, including dynamic fuel cycle simulators that can be coupled to this database and potential future work.
Original language | English |
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Pages | 173-178 |
Number of pages | 6 |
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 | 09/22/19 → 09/27/19 |
Funding
This work was funded by the U.S. Department of Energy Office of Nuclear Energy Systems Analysis and Integration Campaign. Dr. Arantxa Cuadra is acknowledged for her crucial role in beta-testing of the MySQL database and for her valuable feedback. We also thank Mr. Edward Matthew Duchnowski and Mr. Evan Klim for their contributions with scripting some of the unit tests. These were essential for data validation inside the adtbaase. This work was funded by the U.S. Department of Energy Office of Nuclear Energy Systems Analysis and Integration Campaign. Dr. Arantxa Cuadra is acknowledged for her crucial role in beta-testing of the MySQL database and for her valuable feedback. We also thank Mr. Edward Matthew Duchnowski and Mr. Evan Klim for their contributions with scripting some of the unit tests. These were essential for data validation inside the database. This manuscript has been co-authored by employees of Brookhaven Science Associates LLC under Contract No.DE-SC0012704 and UT-Battelle LLC under Contract No. DEAC05-00OR22725 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This manuscript has been co-authored by employees of Brookhaven Science Associates LLC under Contract No.DE-SC0012704 and UT-Battelle LLC under Contract No. DEAC05-00OR22725 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).