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Title: Integral nuclear data validation using experimental spent nuclear fuel compositions

Abstract

Measurements of the isotopic contents of spent nuclear fuel provide experimental data that are a prerequisite for validating computer codes and nuclear data for many spent fuel applications. Under the auspices of the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) and guidance of the Expert Group on Assay Data of Spent Nuclear Fuel of the NEA Working Party on Nuclear Criticality Safety, a new database of expanded spent fuel isotopic compositions has been compiled. The database, Spent Fuel Compositions (SFCOMPO) 2.0, includes measured data for more than 750 fuel samples acquired from 44 different reactors and representing eight different reactor technologies. Measurements for more than 90 isotopes are included. This new database provides data essential for establishing the reliability of code systems for inventory predictions, but it also has broader potential application to nuclear data evaluation. Furthermore, the database, together with adjoint based sensitivity and uncertainty tools for transmutation systems developed to quantify the importance of nuclear data on nuclide concentrations, are described.

Authors:
ORCiD logo [1];  [1];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. OECD Nuclear Energy Agency, Boulogne-Billancourt (France)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1400163
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Nuclear Engineering and Technology
Additional Journal Information:
Journal Volume: 49; Journal Issue: 6; Journal ID: ISSN 1738-5733
Publisher:
Korean Nuclear Society
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; Adjoint Depletion; Nuclear Data; SFCOMPO Database; Spent Fuel; Uncertainty Analysis

Citation Formats

Gauld, Ian C., Williams, Mark L., Michel-Sendis, Franco, and Martinez, Jesus S. Integral nuclear data validation using experimental spent nuclear fuel compositions. United States: N. p., 2017. Web. doi:10.1016/j.net.2017.07.002.
Gauld, Ian C., Williams, Mark L., Michel-Sendis, Franco, & Martinez, Jesus S. Integral nuclear data validation using experimental spent nuclear fuel compositions. United States. doi:10.1016/j.net.2017.07.002.
Gauld, Ian C., Williams, Mark L., Michel-Sendis, Franco, and Martinez, Jesus S. Wed . "Integral nuclear data validation using experimental spent nuclear fuel compositions". United States. doi:10.1016/j.net.2017.07.002. https://www.osti.gov/servlets/purl/1400163.
@article{osti_1400163,
title = {Integral nuclear data validation using experimental spent nuclear fuel compositions},
author = {Gauld, Ian C. and Williams, Mark L. and Michel-Sendis, Franco and Martinez, Jesus S.},
abstractNote = {Measurements of the isotopic contents of spent nuclear fuel provide experimental data that are a prerequisite for validating computer codes and nuclear data for many spent fuel applications. Under the auspices of the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) and guidance of the Expert Group on Assay Data of Spent Nuclear Fuel of the NEA Working Party on Nuclear Criticality Safety, a new database of expanded spent fuel isotopic compositions has been compiled. The database, Spent Fuel Compositions (SFCOMPO) 2.0, includes measured data for more than 750 fuel samples acquired from 44 different reactors and representing eight different reactor technologies. Measurements for more than 90 isotopes are included. This new database provides data essential for establishing the reliability of code systems for inventory predictions, but it also has broader potential application to nuclear data evaluation. Furthermore, the database, together with adjoint based sensitivity and uncertainty tools for transmutation systems developed to quantify the importance of nuclear data on nuclide concentrations, are described.},
doi = {10.1016/j.net.2017.07.002},
journal = {Nuclear Engineering and Technology},
number = 6,
volume = 49,
place = {United States},
year = {Wed Jul 19 00:00:00 EDT 2017},
month = {Wed Jul 19 00:00:00 EDT 2017}
}

Journal Article:
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