Simulation and analysis of plutonium reprocessing plant data

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It will be difficult for large-throughput reprocessing plants to meet International Atomic Energy Agency (IAEA) detection goals for protracted diversion of plutonium by materials accounting alone. Therefore, the IAEA is considering supplementing traditional material balance analysis with analysis of solution monitoring data (frequent snapshots of such solution parameters as level, density, and temperature for all major process vessels). Analysis of solution monitoring data will enhance safeguards by improving anomaly detection and resolution, maintaining continuity of knowledge, and validating and improving measurement error models. However, there are costs associated with accessing and analyzing the data. To minimize these costs, analysis methods ... continued below

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10 p.

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Burr, T.; Coulter, A. & Wangen, L. September 1, 1996.

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Description

It will be difficult for large-throughput reprocessing plants to meet International Atomic Energy Agency (IAEA) detection goals for protracted diversion of plutonium by materials accounting alone. Therefore, the IAEA is considering supplementing traditional material balance analysis with analysis of solution monitoring data (frequent snapshots of such solution parameters as level, density, and temperature for all major process vessels). Analysis of solution monitoring data will enhance safeguards by improving anomaly detection and resolution, maintaining continuity of knowledge, and validating and improving measurement error models. However, there are costs associated with accessing and analyzing the data. To minimize these costs, analysis methods should be as complete as possible simple to implement, and require little human effort. As a step toward that goal, the authors have implemented simple analysis methods for use in an off-line situation. These methods use solution level to recognize major tank activities, such as tank-to-tank transfers and sampling. In this paper, the authors describe their application to realistic simulated data (the methods were developed by using both real and simulated data), and they present some quantifiable benefits of solution monitoring.

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10 p.

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INIS; OSTI as DE96014637

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  • 37. annual meeting of the Institute of Nuclear Materials Management, Naples, FL (United States), 28 Jul - 1 Aug 1996

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  • Other: DE96014637
  • Report No.: LA-UR--96-2614
  • Report No.: CONF-960767--61
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 373906
  • Archival Resource Key: ark:/67531/metadc681653

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • September 1, 1996

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  • July 25, 2015, 2:20 a.m.

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  • Feb. 26, 2016, 5:41 p.m.

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Burr, T.; Coulter, A. & Wangen, L. Simulation and analysis of plutonium reprocessing plant data, article, September 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc681653/: accessed April 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.