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Title: Incorporation of a risk analysis approach for the nuclear fuel cycle advanced transparency framework.

Abstract

Proliferation resistance features that reduce the likelihood of diversion of nuclear materials from the civilian nuclear power fuel cycle are critical for a global nuclear future. A framework that monitors process information continuously can demonstrate the ability to resist proliferation by measuring and reducing diversion risk, thus ensuring the legitimate use of the nuclear fuel cycle. The automation of new nuclear facilities requiring minimal manual operation makes this possible by generating instantaneous system state data that can be used to track and measure the status of the process and material at any given time. Sandia National Laboratories (SNL) and the Japan Atomic Energy Agency (JAEA) are working in cooperation to develop an advanced transparency framework capable of assessing diversion risk in support of overall plant transparency. The ''diversion risk'' quantifies the probability and consequence of a host nation diverting nuclear materials from a civilian fuel cycle facility. This document introduces the details of the diversion risk quantification approach to be demonstrated in the fuel handling training model of the MONJU Fast Reactor.

Authors:
 [1]; ;  [2];  [2]; ; ; ;
  1. (Sociotecnia Solutions, LLC)
  2. (Japan Atomic Energy Agency)
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
912653
Report Number(s):
SAND2007-3166
TRN: US0800480
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; 29 ENERGY PLANNING, POLICY AND ECONOMY; AUTOMATION; FAST REACTORS; FUEL CYCLE; JAEA; MONITORS; NUCLEAR FACILITIES; NUCLEAR FUELS; NUCLEAR POWER; PROBABILITY; PROLIFERATION; RISK ASSESSMENT; SANDIA NATIONAL LABORATORIES; TRAINING; Proliferation.; Nuclear proliferation-Risk assessment.

Citation Formats

Mendez, Carmen Margarita, York, David L., Inoue, Naoko, Kitabata, Takuya, Vugrin, Eric D., Vugrin, Kay White, Rochau, Gary Eugene, and Cleary, Virginia D.. Incorporation of a risk analysis approach for the nuclear fuel cycle advanced transparency framework.. United States: N. p., 2007. Web. doi:10.2172/912653.
Mendez, Carmen Margarita, York, David L., Inoue, Naoko, Kitabata, Takuya, Vugrin, Eric D., Vugrin, Kay White, Rochau, Gary Eugene, & Cleary, Virginia D.. Incorporation of a risk analysis approach for the nuclear fuel cycle advanced transparency framework.. United States. doi:10.2172/912653.
Mendez, Carmen Margarita, York, David L., Inoue, Naoko, Kitabata, Takuya, Vugrin, Eric D., Vugrin, Kay White, Rochau, Gary Eugene, and Cleary, Virginia D.. Tue . "Incorporation of a risk analysis approach for the nuclear fuel cycle advanced transparency framework.". United States. doi:10.2172/912653. https://www.osti.gov/servlets/purl/912653.
@article{osti_912653,
title = {Incorporation of a risk analysis approach for the nuclear fuel cycle advanced transparency framework.},
author = {Mendez, Carmen Margarita and York, David L. and Inoue, Naoko and Kitabata, Takuya and Vugrin, Eric D. and Vugrin, Kay White and Rochau, Gary Eugene and Cleary, Virginia D.},
abstractNote = {Proliferation resistance features that reduce the likelihood of diversion of nuclear materials from the civilian nuclear power fuel cycle are critical for a global nuclear future. A framework that monitors process information continuously can demonstrate the ability to resist proliferation by measuring and reducing diversion risk, thus ensuring the legitimate use of the nuclear fuel cycle. The automation of new nuclear facilities requiring minimal manual operation makes this possible by generating instantaneous system state data that can be used to track and measure the status of the process and material at any given time. Sandia National Laboratories (SNL) and the Japan Atomic Energy Agency (JAEA) are working in cooperation to develop an advanced transparency framework capable of assessing diversion risk in support of overall plant transparency. The ''diversion risk'' quantifies the probability and consequence of a host nation diverting nuclear materials from a civilian fuel cycle facility. This document introduces the details of the diversion risk quantification approach to be demonstrated in the fuel handling training model of the MONJU Fast Reactor.},
doi = {10.2172/912653},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2007},
month = {Tue May 01 00:00:00 EDT 2007}
}

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