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{{#Wiki_filter:Proposed Options for Closure of EPRI Depletion Code Validation Approach Review U.S. Nuclear Regulatory Commission December 20, 2018
 
Meeting Objectives
* 10 CFR 50.68 requirements
* Potential resolution paths 2
 
10 CFR 50.68 Requirements 10 CFR 50.68(b)(4) excerpt:
If credit is taken for soluble boron, the k-effective [(kL)] of the spent fuel storage racks loaded with fuel of the maximum fuel assembly reactivity must not exceed 0.95, at a 95 percent probability, 95 percent confidence level, if flooded with borated water...
95/95 implies that uncertainty and bias need to be explicitly addressed Translated to SFP criticality analysis as: kL kC + unc. + bias 3
 
Potential Resolution Paths to Address Bias and Uncertainty (Not Exhaustive)
Reconcile the data set with the hypotheses supporting the quadratic fit Use the linear regression analysis in Rev. 1 of the topical report Impose a limitation and condition at high burnup values Other 4}}

Latest revision as of 07:02, 5 January 2025

NRC Presentation Proposed Options for Closure of EPRI Depletion Code Validation Approach Review Rev.1
ML18360A465
Person / Time
Issue date: 12/20/2018
From: James Drake
NRC/NRR/DLP/PLPB
To:
Drake J, NRR/DLP, 415-8378
Shared Package
ML18360A449 -Pkg. List:
References
Download: ML18360A465 (4)


Text

Proposed Options for Closure of EPRI Depletion Code Validation Approach Review U.S. Nuclear Regulatory Commission December 20, 2018

Meeting Objectives

  • Potential resolution paths 2

10 CFR 50.68 Requirements 10 CFR 50.68(b)(4) excerpt:

If credit is taken for soluble boron, the k-effective [(kL)] of the spent fuel storage racks loaded with fuel of the maximum fuel assembly reactivity must not exceed 0.95, at a 95 percent probability, 95 percent confidence level, if flooded with borated water...

95/95 implies that uncertainty and bias need to be explicitly addressed Translated to SFP criticality analysis as: kL kC + unc. + bias 3

Potential Resolution Paths to Address Bias and Uncertainty (Not Exhaustive)

Reconcile the data set with the hypotheses supporting the quadratic fit Use the linear regression analysis in Rev. 1 of the topical report Impose a limitation and condition at high burnup values Other 4