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Title: INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS

Abstract

Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modelingmore » tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.« less

Authors:
; ; ; ; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
SRS
Sponsoring Org.:
USDOE
OSTI Identifier:
1024475
Report Number(s):
SRNL-STI-2011-00426
Journal ID: ISSN 0149-1970; PNENDE; TRN: US1104748
DOE Contract Number:  
DE-AC09-08SR22470
Resource Type:
Journal Article
Journal Name:
Progress in Nuclear Energy
Additional Journal Information:
Journal Name: Progress in Nuclear Energy; Journal ID: ISSN 0149-1970
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; ALGORITHMS; COMPUTER ARCHITECTURE; BUSINESS; COMPUTERS; DATA PROCESSING; FUNCTIONALS; MONITORS; NUCLEAR ENERGY; NUCLEAR FUELS; PROCESSING; PROLIFERATION; REACTOR OPERATION; SAMPLING; SENSORS; SIMULATION

Citation Formats

Gorensek, M., Hamm, L., Garcia, H., Burr, T., Coles, G., Edmunds, T., Garrett, A., Krebs, J., Kress, R., Lamberti, V., Schoenwald, D., Tzanos, C., and Ward, R. INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS. United States: N. p., 2011. Web.
Gorensek, M., Hamm, L., Garcia, H., Burr, T., Coles, G., Edmunds, T., Garrett, A., Krebs, J., Kress, R., Lamberti, V., Schoenwald, D., Tzanos, C., & Ward, R. INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS. United States.
Gorensek, M., Hamm, L., Garcia, H., Burr, T., Coles, G., Edmunds, T., Garrett, A., Krebs, J., Kress, R., Lamberti, V., Schoenwald, D., Tzanos, C., and Ward, R. Mon . "INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS". United States. https://www.osti.gov/servlets/purl/1024475.
@article{osti_1024475,
title = {INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS},
author = {Gorensek, M. and Hamm, L. and Garcia, H. and Burr, T. and Coles, G. and Edmunds, T. and Garrett, A. and Krebs, J. and Kress, R. and Lamberti, V. and Schoenwald, D. and Tzanos, C. and Ward, R.},
abstractNote = {Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.},
doi = {},
journal = {Progress in Nuclear Energy},
issn = {0149-1970},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {7}
}