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Title: Sensitivity analysis for best-estimate thermal models of vertical dry cask storage systems

Abstract

Loading requirements for dry cask storage of spent nuclear fuel are driven primarily by decay heat capacity limitations, which themselves are determined through recommended limits on peak cladding temperature within the cask. This study examines the relative sensitivity of peak material temperatures within the cask to parameters that influence both the stored fuel residual decay heat as well as heat removal mechanisms. Here, these parameters include the detailed reactor operating history parameters (e.g., soluble boron concentrations and the presence of burnable poisons) as well as factors that influence heat removal, including non-dominant processes (such as conduction from the fuel basket to the canister and radiation within the canister) and ambient environmental conditions. By examining the factors that drive heat removal from the cask alongside well-understood factors that drive decay heat, it is therefore possible to make a contextual analysis of the most important parameters to evaluation of peak material temperatures within the cask.

Authors:
 [1];  [2];  [1]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1376326
Alternate Identifier(s):
OSTI ID: 1550433
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Nuclear Engineering and Design
Additional Journal Information:
Journal Volume: 320; Journal Issue: C; Journal ID: ISSN 0029-5493
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 22 GENERAL STUDIES OF NUCLEAR REACTORS; COBRA-SFS; Dry cask storage; Used nuclear fuel; Peak clad temperature; Sensitivity analysis

Citation Formats

DeVoe, Remy R., Robb, Kevin R., and Skutnik, Steven E. Sensitivity analysis for best-estimate thermal models of vertical dry cask storage systems. United States: N. p., 2017. Web. doi:10.1016/j.nucengdes.2017.06.005.
DeVoe, Remy R., Robb, Kevin R., & Skutnik, Steven E. Sensitivity analysis for best-estimate thermal models of vertical dry cask storage systems. United States. https://doi.org/10.1016/j.nucengdes.2017.06.005
DeVoe, Remy R., Robb, Kevin R., and Skutnik, Steven E. Sat . "Sensitivity analysis for best-estimate thermal models of vertical dry cask storage systems". United States. https://doi.org/10.1016/j.nucengdes.2017.06.005. https://www.osti.gov/servlets/purl/1376326.
@article{osti_1376326,
title = {Sensitivity analysis for best-estimate thermal models of vertical dry cask storage systems},
author = {DeVoe, Remy R. and Robb, Kevin R. and Skutnik, Steven E.},
abstractNote = {Loading requirements for dry cask storage of spent nuclear fuel are driven primarily by decay heat capacity limitations, which themselves are determined through recommended limits on peak cladding temperature within the cask. This study examines the relative sensitivity of peak material temperatures within the cask to parameters that influence both the stored fuel residual decay heat as well as heat removal mechanisms. Here, these parameters include the detailed reactor operating history parameters (e.g., soluble boron concentrations and the presence of burnable poisons) as well as factors that influence heat removal, including non-dominant processes (such as conduction from the fuel basket to the canister and radiation within the canister) and ambient environmental conditions. By examining the factors that drive heat removal from the cask alongside well-understood factors that drive decay heat, it is therefore possible to make a contextual analysis of the most important parameters to evaluation of peak material temperatures within the cask.},
doi = {10.1016/j.nucengdes.2017.06.005},
journal = {Nuclear Engineering and Design},
number = C,
volume = 320,
place = {United States},
year = {Sat Jul 08 00:00:00 EDT 2017},
month = {Sat Jul 08 00:00:00 EDT 2017}
}

Journal Article:

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Cited by: 2 works
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