Proposed SPAR Modeling Method for Quantifying Time Dependent Station Blackout Cut Sets

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Abstract: The U.S. Nuclear Regulatory Commission’s (USNRC’s) Standardized Plant Analysis Risk (SPAR) models and industry risk models take similar approaches to analyzing the risk associated with loss of offsite power and station blackout (LOOP/SBO) events at nuclear reactor plants. In both SPAR models and industry models, core damage risk resulting from a LOOP/SBO event is analyzed using a combination of event trees and fault trees that produce cut sets that are, in turn, quantified to obtain a numerical estimate of the resulting core damage risk. A proposed SPAR method for quantifying the time-dependent cut sets is sometimes referred to as ... continued below

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Schroeder, John A. June 1, 2010.

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Abstract: The U.S. Nuclear Regulatory Commission’s (USNRC’s) Standardized Plant Analysis Risk (SPAR) models and industry risk models take similar approaches to analyzing the risk associated with loss of offsite power and station blackout (LOOP/SBO) events at nuclear reactor plants. In both SPAR models and industry models, core damage risk resulting from a LOOP/SBO event is analyzed using a combination of event trees and fault trees that produce cut sets that are, in turn, quantified to obtain a numerical estimate of the resulting core damage risk. A proposed SPAR method for quantifying the time-dependent cut sets is sometimes referred to as a convolution method. The SPAR method reflects assumptions about the timing of emergency diesel failures, the timing of subsequent attempts at emergency diesel repair, and the timing of core damage that may be different than those often used in industry models. This paper describes the proposed SPAR method.

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  • Tenth Probabilistic Safety Assessment and Management Conference (PSAM10),Seattle, WA,06/07/2010,06/11/2010

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  • Report No.: INL/CON-10-17987
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 984538
  • Archival Resource Key: ark:/67531/metadc1016113

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Office of Scientific & Technical Information Technical Reports

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  • June 1, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Nov. 3, 2017, 5:23 p.m.

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Schroeder, John A. Proposed SPAR Modeling Method for Quantifying Time Dependent Station Blackout Cut Sets, article, June 1, 2010; Idaho. (digital.library.unt.edu/ark:/67531/metadc1016113/: accessed April 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.