ML13179A015

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Units I and 2, Qualification of the ABB-NV and Wlop CHF Correlations in the Dominion VIPRE-D Computer Code
ML13179A015
Person / Time
Site: Surry, North Anna  Dominion icon.png
Issue date: 05/31/2013
From:
Dominion, Virginia Electric & Power Co (VEPCO)
To:
Office of Nuclear Reactor Regulation
References
DOM-NAF-2-NP, Rev 0.3
Download: ML13179A015 (59)
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Serial No.13-145 Docket Nos. 50-280/281 and 50-338/339 NON-PROPRIETARY ATTACHMENT 7 QUALIFICATION OF THE ABB-NV AND WLOP CHF CORRELATIONS IN THE DOMINION VIPRE-D COMPUTER CODE (NON-PROPRIETARY)

Virginia Electric and Power Company (Dominion)

Surry Power Station Units 1 and 2 North Anna Power Station Units I and 2

Non-Proprietary 0-Dominion-DOM-NAF-2-NP, Rev. 0.3 APPENDIX D Qualification of the ABB-NV and WLOP CHF Correlations in the Dominion VIPRE-D Computer Code NUCLEAR ANALYSIS AND FUEL DEPARTMENT DOMINION RICHMOND, VIRGINIA May 2013

CLASSIFICATION/DISCLAIMER The data, information, analytical techniques, and conclusions in this report have been prepared solely for use by Virginia Electric and Power Company (Dominion or the Company), and they may not be appropriate for use in situations other than those for which they are specifically prepared. The Company therefore makes no claim or warranty whatsoever, expressed or implied, as to their accuracy, usefulness, or applicability. In particular, THE COMPANY MAKES NO WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, NOR SHALL ANY WARRANTY BE DEEMED TO ARISE FROM COURSE OF DEALING OR USAGE OR TRADE, with respect to this report or any of the data, information, analytical techniques, or conclusions in it. By making this report available, the Company does not authorize its use by others, and any such use is expressly forbidden except with the prior written approval of the Company. Any such written approval shall itself be deemed to incorporate the disclaimers of liability and disclaimers of warranties provided herein. In no event shall the Company be liable, under any legal theory whatsoever (whether contract, tort, warranty, or strict or absolute liability), for any property damage, mental or physical injury or death, loss of use of property, or other damage resulting from or arising out of the use, authorized or unauthorized, of this report.

ABSTRACT This appendix documents Dominion's qualification of the ABB-NV and WLOP CHF correlations with the VIPRE-D code. This qualification was performed against the same CHF experimental database used in the initial development and licensing of the correlations. This appendix summarizes the data evaluations that were performed to qualify the VIPRE-D/ABB-NV and VIPRE-D/WLOP code/correlation pairs, and to develop the corresponding DNBR design limits.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-2

TABLE OF CONTENTS CLASSIFICATIO N/DISCLAIM ER ............................................................................ D-2 A B S T RA C T ............................................................................................................. D-2 TA BLE O F C O NTEN TS .......................................................................................... D-3 LIS T O F TA B LE S .................................................................................................... D -4 LIS T O F FIG UR E S .................................................................................................. D -5 ACRONYMS AND ABBREVIATIONS ..................................................................... D-6 D .1 P UR PO S E .................................................................................................... D -7 D .2 A P P LIC A B ILITY ........................................................................................... D -7 D.3 DESCRIPTION OF THE ABB-NV AND WLOP CHF CORRELATIONS ....... D-8 D.3.1 ABB-NV CHF CORRELATION DESCRIPTION ...................................... D-8 D.3.2 WLOP CHF CORRELATION DESCRIPTION ......................................... D-9 D.4 DESCRIPTION OF THE CHF DATABASES AND TEST ASSEMBLIES ...... D-9 D.4.1 ABB-NV CORRELATION ........................................................................ D-9 D.4.2 WLOP CORRELATION ......................................................................... D-10 D.5 VIPRE-D RESULTS AND COMPARISON TO WESTINGHOUSE R E S ULT S .................................................................................................. D -12 D.5.1 VIPRE-D/ABB-NV RESULTS ................................................................ D-13 D.5.2 VIPRE-D/WLOP RESULTS ................................................................... D-30 D .6 C O NC LU S IO N S ......................................................................................... D-48 D .7 R E FE R EN C ES ........................................................................................... D -50 DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-3

LIST OF TABLES Table D.4.1-1: ABB-NV CHF Experimental Database ..................................... D-10 Table D.4.2-1: WLOP CHF Experimental Database ........................................ D-11 Table D.5.1-1: Summary of VIPRE-D/ABB-NV Results ....................................... D-14 Table D.5.1-2: Summary of VIPRE-D/ABB-NV W and D' Normality Tests .......... D-1 5 Table D.5.1-3: VIPRE-D/ABB-NV M/P CHF Statistical Comparison Tests for Param etric D istribution ................................................................. D-16 Table D.5.1-4 VIPRE-D/ABB-NV M/P CHF Statistical Comparison Tests for Non-Param etric D istribution ................................................................. D-17 Table D.5.1-5 Statistical Analysis of VIPRE-D/ABB-NV DDL ............................. D-18 Table D.5.1-6: VIPRE-D/ABB-NV DDL Calculation for Non-Parametric Data ..... D-19 Table D.5.1-7: Range of Validity for ABB-NV ...................................................... D-20 Table D.5.2-1: Summary of VIPRE-D/WLOP Results .......................................... D-31 Table D.5.2-2 Summary of VIPRE-D/WLOP W and D' Normality Tests ............. D-33 Table D.5.2-3 VIPRE-D/WLOP M/P CHF Statistical Comparison Tests for Parametric D istrib utio n ................................................................................... D -34 Table D.5.2-4 VIPRE-D/WLOP M/P CHF Statistical Comparison Tests for Non-Param etric D istribution ................................................................. D-35 Table D.5.2-5: Statistical Analysis of VIPRE-D/WLOP DDL ................................ D-36 Table D.5.2-6: VIPRE-DIWLOP DDL Calculation for Non-Parametric Data ........ D-37 Table D.5.2-7: Range of Validity for WLOP ......................................................... D-38 Table D.6-1: VIPRE-D/ABB-NV and VIPRE-D/WLOP DDLs ............................ D-48 Table D.6-2: Range of Validity for VIPRE-D/ABB-NV ....................................... D-48 Table D.6-3: Range of Validity for VIPRE-D/WLOP ......................................... D-49 DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-4

LIST OF FIGURES Figure D.5.1-1: Measured versus Predicted CHF for VIPRE-D/ABB-NV D ata base ..................................................................................... D-2 1 Figure D.5.1-2: M/P CHF Ratio versus Pressure for VIPRE-D/ABB-NV D ata base ..................................................................................... D-22 Figure D.5.1-3: M/P CHF Ratio versus Local Mass Velocity for VIPRE-D/ABB-NV D ata base ..................................................................................... D-2 3 Figure D.5.1-4: M/P CHF Ratio versus Local Quality for VIPRE-D/ABB-NV D ata base ..................................................................................... D -24 Figure D.5.1-5: M/P CHF Ratio versus Heated Hydraulic Diameter Ratio for VIPRE-D/ABB-NV Database ........................................................ D-25 Figure D.5.1-6: M/P CHF Ratio versus Matrix Heated Hydraulic Diameter for VIPRE-D/ABB-NV Database ........................................................ D-26 Figure D.5.1-7: M/P CHF Ratio versus Heated Length for VIPRE-D/ABB-NV D ata base ..................................................................................... D-2 7 Figure D.5.1-8: M/P CHF Ratio versus Distance from Grid for VIPRE-D/ABB-NV D ata base ..................................................................................... D-28 Figure D.5.1-9: VIPRE-D/ABB-NV Probability Density Function ........................... D-29 Figure D.5.2-1: Measured versus Predicted CHF for VIPRE-D/WLOP Database D-39 Figure D.5.2-2: M/P CHF Ratio versus Pressure for VIPRE-D/WLOP Database. D-40 Figure D.5.2-3: M/P CHF Ratio versus Local Mass Velocity for VIPRE-D/WLOP D ata ba se ..................................................................................... D -4 1 Figure D.5.2-4: M/P CHF Ratio versus Local Quality for VIPRE-D/WLOP D atabase ..................................................................................... D -4 2 Figure D.5.2-5: M/P CHF Ratio versus Heated Hydraulic Diameter Ratio for VIPRE-D/WLOP Database .......................................................... D-43 Figure D.5.2-6: M/P CHF Ratio versus Matrix Heated Hydraulic Diameter for VIPRE-D/WLOP Database .......................................................... D-44 Figure D.5.2-7: M/P CHF Ratio versus Heated Length for VIPRE-D/WLOP D atabase ..................................................................................... D -45 Figure D.5.2-8: M/P CHF Ratio versus Grid Spacing Term for VIPRE-D/WLOP D atabase ..................................................................................... D -46 Figure D.5.2-9: VIPRE-DIWLOP Probability Density Function ............................. D-47 DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-5

ACRONYMS AND ABBREVIATIONS ANOVA Analysis of Variance CE Combustion Engineering CHF Critical Heat Flux DDL Deterministic Design Limit DNB Departure from Nucleate Boiling DNBR Departure from Nucleate Boiling Ratio EOHL End of Heated Length HTRF Heat Transfer Research Facility at Columbia University MDNBR Minimum Departure from Nucleate Boiling M/P Ratio of Measured-to-Predicted CHF MVG Mixing Vane Grid NMVG Non-Mixing Vane Grid OD Outside Diameter PWR Pressurized Water Reactor STDEV Standard Deviation USNRC US Nuclear Regulatory Commission DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-6

D.1 PURPOSE The W-3 Critical Heat Flux (CHF) correlation has historically been used for predicting departure from nucleate boiling ratio (DNBR) margin in the non-mixing vane grid (NMVG) region to supplement the primary departure from nucleate boiling (DNB) correlation used for Westinghouse and Combustion Engineering (CE) Pressurized Water Reactor (PWR) fuel designs with mixing vane grids (MVG) and for low flow, low pressure conditions of Westinghouse and CE PWR fuel designs. Alternative CHF correlations, ABB-NV and WLOP, have been developed to provide more accurate DNBR predictions than the W-3 CHF correlation (Reference D4). The ABB-NV and WLOP CHF correlations have been approved by the USNRC for use with Westinghouse and CE PWR fuel designs (Reference D4).

To be licensed for use, a CHF correlation must be tested against experimental data that span the anticipated range of conditions over which the correlation will be applied. Furthermore, the population statistics of the database must be used to establish a DNBR deterministic design limit (DDL) such that the probability of avoiding DNB will be at least 95% at a 95% confidence level.

This appendix documents Dominion's qualification of the ABB-NV and the WLOP correlations with the VIPRE-D code. This qualification of the ABB-NV and WLOP correlations was performed against the data from the Columbia University Heat Transfer Research Facility (HTRF)

(References D1 and D4). This is the same set of CHF data used by Westinghouse in the qualification of the ABB-NV and WLOP correlations with the VIPRE-01 code (References D3 and D4). This appendix summarizes the data evaluations that were performed to qualify the VIPRE-D/ABB-NV and VIPRE-D/WLOP code/correlation pairs, and to develop the corresponding DDL for each correlation in VIPRE-D.

D.2 APPLICABILITY The VIPRE-D/ABB-NV and VIPRE-D/WLOP code/correlation pairs are used as alternatives to the VIPRE-D/W-3 code/correlation pair.

The VIPRE-D/ABB-NV and VIPRE-D/WLOP applications discussed in this appendix are consistent with the generic, intended applications listed in the main body of this report (Section 2.0 in Reference D5). Specifically, VIPRE-D/ABB-NV is used to analyze the transients delineated in Table 2.1-1 in Section 2.0 of the main body of this report (Reference D5) below the first mixing vane and VIPRE-D/WLOP is used to analyze the transients when they occur at low flow/low pressure conditions. The qualification of the ABB-NV and WLOP correlations with the VIPRE-D code has been performed following the modeling guidelines described in Section 4.0 of the main body of this report.

The ABB-NV and WLOP CHF correlations have been approved by the USNRC for use with Westinghouse and CE PWR fuel designs (Reference D4). The ABB-NV and WLOP CHF correlations are applicable for use in the thermal-hydraulic evaluation of 14x14 fuel products DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-7

with a rod outside diameter (OD) of 0.400 or 0.422 inches; 15x15 fuel products with a rod OD of 0.422 inches; 16x16 fuel products with a rod OD of 0.360 or 0.374 inches; and 17x17 fuel products with a rod OD of 0.360 or 0.374 inches (Reference D4).

This appendix meets the USNRC's requirement #2 listed in the VIPRE-01 SER, as outlined in Section 2.2 in the main body of this report (Reference D5).

D.3 DESCRIPTION OF THE ABB-NV AND WLOP CHF CORRELATIONS In PWR cores, the energy generated inside the fuel pellets leaves the fuel rods at their surface in the form of heat flux, which is removed by the reactor coolant system flow. The normal heat transfer regime in this configuration is nucleate boiling, which is very efficient. However, as the capacity of the coolant to accept heat from the fuel rod surface degrades, a continuous layer of steam (a film) starts to blanket the tube. This heat transfer regime, termed film boiling, is less efficient than nucleate boiling and can result in significant increases of the fuel rod temperature for the same heat flux. Since the increase in temperature may lead to the failure of the fuel rod cladding, PWRs are designed to operate in the nucleate boiling regime and protection against operation in film boiling must be provided.

The heat flux at which the steam film starts to form is called CHF or the point of DNB. For design purposes, the DNBR is used as an indicator of the margin to DNB. The DNBR is the ratio of the predicted CHF to the actual local heat flux under a given set of conditions. Thus, DNBR is a measure of the thermal margin to film boiling and its associated high temperatures.

The greater the DNBR value is (above 1.0), the greater the thermal margin.

The CHF cannot be predicted from first principles, so it is empirically correlated as a function of the local thermal-hydraulic conditions, the geometry, and the power distribution measured in the experiments. Since a CHF correlation is an analytical fit to experimental data, it has an associated uncertainty, which is quantified in a DDL. A calculated DNBR value greater than this design limit provides assurance that there is at least a 95% probability at the 95% confidence level a departure from nucleate boiling will not occur.

D.3.1 ABB-NV CHF CORRELATION DESCRIPTION The ABB-NV CHF correlation was first licensed by CE in Reference D1. The ABB-NV CHF correlation was then incorporated into the Westinghouse version of the VIPRE-01 computer code for evaluation of CE fuel products in Reference D3. Westinghouse then extended the applicability of the ABB-NV CHF correlation to Westinghouse fuel designs in Reference D4.

The ABB-NV CHF correlation predicts the DNBR at normal operating conditions of pressure and flow for Westinghouse and CE PWR fuel designs. All test sections used in the development, validation, and qualification of the ABB-NV CHF correlations contained only NMVGs.

Specifically, the ABB-NV CHF correlation is utilized below the first MVG to supplement the DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-8

primary DNB correlation used in analysis. The axial shape correction factor for non-uniform power shapes (i.e., the Tong Factor) used with the ABB-NV CHF correlation is the same as that used with the primary CHF correlation. This is consistent with the limitations and conditions of the ABB-NV CHF correlation listed in Reference D4.

D.3.2 WLOP CHF CORRELATION DESCRIPTION The WLOP CHF correlation was developed by Westinghouse to replace the W-3 and Macbeth CHF correlations used to predict the DNBR at low pressure/low flow conditions for PWR fuel designs. WLOP is a modification of the ABB-NV correlation and was developed based on CHF data of rod bundles obtained at the HTRF for PWR 14x14, 16x16, and 17x17 fuel designs containing structural non-mixing vane grids (Reference D4). Specifically, the WLOP CHF correlation was developed for low pressure conditions and extended flow range to cover low flow conditions that are not within the approved range of applicability of the primary DNB correlation used in analysis. The WLOP CHF correlation is a supplement to the primary DNB correlation. The axial shape correction factor for non-uniform power shapes (i.e., the Tong Factor) used with the WLOP CHF correlation is the same as that used with the primary CHF correlation. This is consistent with the limitations and conditions of the WLOP CHF correlation listed in Reference D4.

D.4 DESCRIPTION OF THE CHF DATABASES AND TEST ASSEMBLIES D.4.1 ABB-NV CORRELATION The ABB-NV CHF correlation was developed from CHF data obtained at the Columbia University HTRF using full-scale, electrically heated rod bundle test sections (Reference D1).

The HTRF test assemblies had a 5x5 geometry except one which had a hexagonal shape containing seven rods. These 5x5 test bundles represent 14x14, 16x16, or 17x17 subchannel geometries (References D1 and D4). The hexagonal lattice demonstrates that the correlation is sufficiently robust to cover different geometries for non-mixing vane grids (Reference D4).

The Dominion qualification of ABB-NV in VIPRE-D was performed against the same CHF test data from the Columbia University HTRF database used by CE and Westinghouse to develop the ABB-NV correlation (References D1, D3, and D4). Table D.4.1-1 provides a summary of the key information about each test.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-9

Table D.4.1-1: ABB-NV CHF Experimental Database PIN OD HEATED GRID GUIDE NUMBER AXIALLENGTH SPACING TUBE OF RUNS TEST MATRIX FLUX SHAPE OD LENcH [ING TUBE

[inches] [inches] [inches] TYPE a,b,c Notes:

TP - Top Peaked BP - Bottom Peaked D.4.2 WLOP CORRELATION The WLOP CHF correlation was developed from CHF data obtained at the Columbia University HTRF using full-scale, electrically heated rod bundle test sections (Reference D4). The HTRF test assemblies had a 5x5 geometry. These 5x5 test bundles represent 14x14, 16x16, and 17x17 subchannel geometries (References D1 and D4).

The Dominion qualification of WLOP in VIPRE-D was performed against the same test data from Columbia University HTRF database used by Westinghouse to develop the WLOP correlation (References D4). Table D.4.2-1 provides a summary of the key information about each test.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-10

Table D.4.2-1: WLOP CHF Experimental Database PIN OD /I ETD GI UD TEST MATRIX AXIAL HEAT GUIDE TUBE LENGTH SPACING TUBE NUMBER FLUX SHAPE OD LEnTh SinG TUBE OF RUNS

[inches] [inches] [inches] TYPE a,b,c

  • Grid Spacing xx/yy indicated nominal grid spacing of xx with yy inches between last grid and the end of heated length (EOHL).

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-1 1

D.5 VIPRE-D RESULTS AND COMPARISON TO WESTINGHOUSE RESULTS This section summarizes the VIPRE-D results using the ABB-NV and WLOP CHF correlations and the associated significant statistics. It provides the VIPRE-D overall statistics and generates the DDL for the CHF correlations with VIPRE-D.

The statistical tests described in References D1 and D4 have been replicated herein. The statistical tests examine the ABB-NV and WLOP databases to determine the appropriate manner for establishing the code/correlation DDL so that it ensures that the probability of avoiding DNB will be at least 95% at a 95% confidence level. This is done by determining if the databases are normally distributed and of the same data population, then parametric statistics are used to determine the one-sided 95/95 code/correlation DDL. Otherwise, non-parametric statistics are used to determine the one-sided 95/95 code/correlation DDL.

The statistical tests performed by Dominion are the same statistical tests utilized in References D1 and D4. The statistical evaluations are performed on [

]ac the correlation database, the validation database, combined correlation and validation database, and [ ]ac to determine the one-sided 95/95 DNBR limit for the application of the ABB-NV and WLOP correlations for PWR fuel designs. The following is a synopsis of the statistical tests performed by Dominion.

Tests for normality at the 95% confidence level were performed on the correlation data sets to determine the proper statistical methods to be used for the data. Prior to performing any of the statistical tests, the correlation databases are examined for outliers. The W and D' tests were used to evaluate normality. The W test was used if the data set had fewer than 50 data points and the D' test was used if the data set had 50 or more data points. Statistical tests were then performed to determine if all or selected data groups belong to the same population, in order to be combined for the evaluation of the 95/95 DNBR limit. For normally distributed groups, homogeneity of variance was examined using Bartlett's test. Homogeneity of the means was then examined with the t-test or general (ANOVA) F-test. The t-test with equal variances was applied for testing the equality of means of two groups that passed both the normality tests and the homogeneity of variance test. The t-test with unequal variances was applied for testing the equality of means of two groups that passed the normality tests but failed the homogeneity of variance test. The analysis of variance (ANOVA) F-test was applied to multiple groups that passed the normality tests. For groups that did not pass the normality test, the Wilcoxon-Mann-Whitney test or the Kruskal-Wallis One-Way Analysis of Variance by Ranks test is used to test the null hypotheses that the medians, or averages, of the tests or groups are the same. The Wilcoxon-Mann-Whitney test was applied for testing whether two groups could have been drawn from the same population and the Kruskal-Wallis One-Way Analysis of Variance by Ranks test was applied to multiple groups. These statistical tests are defined in References D1 and D4.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-12

D.5.1 VIPRE-D/ABB-NV RESULTS References D1 and D4 describe the mathematical model for each ABB-NV CHF test section by providing the bundle and cell geometry, the rod radial peaking values, the rod axial flux shapes, the spacer grid information (i.e., type, axial locations and form losses) and the thermocouple locations. References D1, D3, and D4 provide the data for each ABB-NV CHF observation within a test, including power, flow, inlet temperature, pressure and CHF axial location.

The ABB-NV correlation was developed by CE by correlating the CHF experimental results as described in Reference D1. Westinghouse then used the test data set and the VIPRE-01 thermal-hydraulics computer code to calculate a DDL of 1.13 for the ABB-NV correlation (References D3 and D4). Dominion used these experimental data, as described in Section D.4.1, to develop the VIPRE-D/ABB-NV code/correlation pair DDL [

]ac.

[a,c was modeled for analysis with the VIPRE-D thermal-hydraulic computer code as a full assembly model following the modeling methodology discussed in Section 4 in the main body of this report (Reference D5). For [ ]ac, VIPRE-D produces the local thermal-hydraulic conditions (mass velocity, thermodynamic quality, heat flux, etc.) at every axial node along the heated length of the test section. The ratio of measured-to-predicted CHF (M/P) is the variable that is normally used to evaluate the thermal-hydraulic performance of a code/correlation pair. The measured CHF is the local heat flux at a given location, while the predicted CHF is calculated by the code using the ABB-NV CHF correlation. The ratio of these two values provides the M/P ratio, which is the inverse of the DNB ratio. M/P ratios are frequently used to validate CHF correlations instead of DNB ratios, because their distribution is usually a normal distribution, which simplifies their manipulation and statistical analysis.

Table D.5.1-1 provides the average M/P, standard deviation, maximum M/P, and minimum M/P for each [ I c, the correlation database, the validation database, combined correlation and validation database. It is noted that [ ]ac were eliminated as outliers in the VIPRE-D/ABB-NV database, following the method used in References D1 and D4.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-1 3

Table D.5.1-1: Summary of VIPRE-D/ABB-NV Results Number of M/P Ratio M/P Ratio M/P Ratio I

[

T Tests Average STDEV M/P Ratio Max I Min a,b,c Consistent with References D1 and D4, subsets of data were used to evaluate the VIPRE-D/ABB-NV test data. The same subsets used by Westinghouse in Reference D4 have been used herein. As stated in Reference D1 Tests [

a,b,c DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-14

I I a,b,c Subset Test Included # Points Average Std Dev L

a,b,c The results of the W and D' normality tests are presented in Table D.5.1-2. The results of the statistical tests for determining normality and poolability of the datasets are presented in Tables D.5.1-2 and D.5.1-3. Table D.5.1-4 provides the results of additional statistical tests that were performed on groups that did not pass the normality test. The statistical tests presented in Tables D.5.1-2 through D.5.1-4 are consistent with the statistical tests presented in Reference D4.

Table D.5.1-2: Summary of VIPRE-D/ABB-NV W and D' Normality Tests D' D' D9 Pass Data N Mean Calculated P=.025 P=.975 Test

[amb a,,c c [ a,1,c

]a,b,c 0.9748 0.9701 100.9 120.1

[ ]a,bc a,

[L

[

a,,c a, ,c No Yes

]a*,c [,,b, 0.9899 102.0 [ ]a,,c [ a, c No

]a,:,c [ la,b,c 0.9794 159.2 ]a,b,c Ka, ,c Yes Sc ]ac 1.0230 118.4 aa,c r a, ,c Yes a, [cbC 1.0491 181.9 l[ a,c r ]a~bIc Yes

]a,oc ] a,cl 0.9970 98.6 [ ]ai,c [ ]a.-,c Yee a,0,c [ ]a,,c 0.9992 3374.0 []a,,c [ ]a,,c No

]a,b,c ]a,bc 1.0118 714.6 r ]a,,c [ ]a,l,c Yes C j la,,c 1.0036 961.7 [ ]a,b,c I ]a, ,c Yes

[ ]a,bc 0.9959 1433.2 [ ]a ,c_ ]la, c No S]a,,c [ ]a,o,c 1.0025 5325.1 1 ]a,b,c r j ]a, c I"' '

No Yes

[]a,D~ C ]a,b,c 0.9389 116.0 [ ]a'b'c [

[c 1.0445 250.0 1[ Yes

[]a,,c a, c 1.0050 503.0 L ]a,l,c [ ]ri,c Yes

[ ]a,b,c 1.0029 7070.5 No I]a, ,c ((C a,b,c 0.9742 2616.9 a IbIC a.b,c Yes

]a,1,c ]... 1.0185 1113.9 [ j ,j [ a~1 No W W Pass Data N Mean Calculated P=.05 Test r ]a,o,c a,D,c 0.9862 0.944 ]a,b,c Yes

[a,D,c [ ]a,Ib,c 1.0369 0.941 a,b,c No a,t,c [ . a b.Lc 0.9911 0.937 [ b No a,D,c [ ]a,,c 0.9952 0.914 F ]a,D,c No a],bc [L ].ai, 0.9707 0.958 , ,cc.. Yes Ia,D,c ]a,b,¢ 0.9728 0.986 aa, ' Yes

[]a,,c ]a,r,c 1.0828 0.981 [ ]a, __c Yes DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-15

Table D.5.1-3: VIPRE-D/ABB-NV M/P CHF Statistical Comparison Tests for Parametric Distribution Bartlett Test Results - ABB-NV Data Individual Tests Database N Mean,p I s K M C M/C )., Pass Test ALL 865 1.0029 0.0683 16 68.4496 1.0071 67.967 25 No Kruskal-Wallis Variance By Ranks Test Results - ABB-NV Data Individual Tests Database N mean, jIJ s I K 246H612 16-2  ?-95 Pass Test ALL 865 1.0029 0.0683 1625 1 No Bartlett Test Results - ABB-NV Data Database N Mean, p s K M C MIC X2.95 Pass

___ f j jest

]a,,,c [ ]a,b,c 0.9992 0.0642

]a,b,c [ ]ac 1.0118 0.0656

[ ]a]b~c [ Ixc 1.0025 0.0647 2 0.1573 1.0020 0.1570 3.84 Yes

]a,bc [ ]a, 1.0036 0.0598

]a,b,c [ aEc 0.9959 0.0672

]a~b~cI 1

a1c 0.9992 0.0642 2 3.1863 1.0019 3.1803 3.84 Yes

]a,b,c ja,Bc 1.0025 0.0647

[ abc ]abc

] 1.0050 0.0835

[a,b,c [yF ],c 1.0029 0.0683 2 17.6446 1.0024 17.6024 3.84 No Sa,bcc =[ ]a,b,c] 0.9742 0.0518 [ ]abc I 4.665]b 1.0080 I 4.628 15.51 Yes 0

]a[C[ ]a. j 1.0185 0.0654 j C 17.398 1.0071 17.276 7.81 No t-Test Results with Unequal Variances - ABB-NV Data Database N Mean, p s pl - p2 S t t.97 5 Pass

]a,b,c ]a,b,c 0.9992 0.0642 0.064178

[ ]a,b,c [ ]af67c 1.0118 0.0656 0.065636

]ab,.c f '7 1.0025 0.0647 -0.0126 -2.273 +/-1.96 NO

[ ]a.,b,c [ ]a,, 1.0036 0.0598 0.059829

[ ]a,b,c [ ]ab,c 0.9959 0.0672 0.067172 _

[ ))a,b,c0.9992

],b, 0.0642 0.0077 1.391 +/-1.96 Yes a,b,c [ ]a, , 1.0025 0.0647 0.064750

]a,b,c [ ]abc 1.0050 0.0835 0.083519

[ ]a.,b, [ ].,b,c 1.0029 0.0683 -0.0025 -0.342 +/-1.972 Yes F-Test Results - ABB-NV Data S,

S2 S/S 2

_ _ _ I _

F.95(nl,n 2 )

I Pass Test Database nj n2

[ ]a,b,c [

],ýc ] a. c 0.01323 0.00249 5.313 1.88 No

[]_ ]a,b,c ]Tc [ abc0.04382 0.00381 11.501 2.6 No DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-16

Table D.5.1-4: VIPRE-D/ABB-NV M/P CHF Statistical Comparison Tests for Non-Parametric Distribution While some values from the statistical tests exceed the critical values given, these groups are still grouped to be consistent with the results reported in Reference D4. These statistical tests are not the sole measure of the performance of a CHF correlation, but they would indicate extremely bad mismatches in the data (i.e., test exceeding acceptance criteria by a very large amount).

Since all of the data in the combined correlation and validation database [

axc For [ a,c, one-sided tolerance theory is used for the calculation of the VIPRE-D/ABB-NV code/correlation pair DDL. This theory allows the calculation of a DNBR limit so that, for a DNBR equal to the DDL, DNB will be avoided with 95% probability at a 95% confidence level.

It is necessary to verify that the overall distribution for the M/P ratios is a normal distribution, because the statistical technique used below assumes that the original data distribution is normal. From the above discussion and tables, [ ]a,c was shown to be normally distributed. The D' value is within with the range of acceptability for [ ]a,b,c with a 95% confidence level [ ]. The DNBR DDL for [ ,c is calculated as:

1Taken from Table 5 of Reference D6.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-1 7

DNBRDDL - 1.0 [D.5.1.1]

M/P-K*uM/p 2.0 1 1 1.645+1.645[-12.0 K =2.706 [D.5.1.2]

2(N) where M/P = average measured to predicted CHF ratio O*M/P = standard deviation of the measured to predicted CHF ratios of the database K = 95/95 confidence multiplier (expression from Reference 04, practically equivalent to Owen's table) n = number of data points N = degrees of freedom Normally, the number of degrees of freedom would be the total number of data minus one.

However, because Westinghouse used these experimental data to correlate the [ Ia,c constants that appear in the ABB-NV correlation, the total number of degrees of freedom must be corrected to account for this. In addition, the standard deviation of the database needs to be corrected accordingly to account for this reduced number of degrees of freedom:

N =n [ ]a [D.5.1.3]

GN =aM/P"[ (n -1) / N]

Then, the DDL for the VIPRE-D/ABB-NV code/correlation pair using [ ]ac is calculated as shown in Table D.5.1-5.

Table D.5.1-5: Statistical Analysis of VIPRE-D/ABB-NV DDL Number of data n ]a,b,c Degrees of freedom N = n [ ]a,c [ ]a,b,c Average M/P M/P 0.9742 Standard Deviation (M/P 0.0518 Corrected Standard Deviation CYN = aTMP [(n -1) / N ] / [ ]ab.c Owens Factor K [ ]a,c ABB-NV Design limit DNBRL = 1 / (M/P - K. aFN) 1.1357 Correcting for the number of constants in the ABB-NV correlation has no significant effect, and it is more conservative to make the correction. This results in a DDL of 1.14.

The DDL for [ ]ac is calculated using a distribution free approach as described in References D1 and D4. A distribution free approach applies to data groups that do not pass the D' normality test, also known as non-parametric data. The largest value of m such that one can assert with 95% confidence that 95% of the population lies above the mth smallest value of Xi where Xi is an individual test run value of the ratio of measured to correlation predicted CHF in DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-18

the non-normally distributed group was taken from Table A-31 of Reference D7. The non-parametric DNBR DDLs are presented in Table D.5.1-6.

Table D.5.1-6: VIRPE-D/ABB-NV DDL Calculation for Non-Parametric Data I M/P = INalue =

Database y P n m Value DNBR95

]a,c 0.95 0.95 [ ]a,b,c 7 0.8839 1.1313 Ranking of Data from [Subset 2 ]a'c Test M/P Rank

[ ]a,b,c 0.8178 1

[]jI F5 0.8367 2

[ ]aBWc 0.8471 3

[]a,b,c 0.8474 4

[ ]a,.c 0.8783 5

[],, 0.8820 6

[ ]a,b,c 0.8839 7

[ ]a,bc 0.9061 8

[ ]aBC 0.9062 9

[ ],Bc 0.9133 10 The non-parametric data results in a DDL of 1.13. When comparing the non-parametric DDL to the parametric DDL of 1.14, the conservative DDL is 1.14. This value is a conservative number compared to the value reported by Westinghouse in Reference D4, 1.13, which has been approved by the USNRC.

Table D.5.1-7 summarizes the ranges of validity for the VIPRE-D/ABB-NV code/correlation pair.

These ranges are identical to those submitted by Westinghouse in Reference D4. It is noted that for Westinghouse and CE PWR fuel designs, the non-mixing vane region is well below the minimum heated length of 48 inches. However, it is conservative to apply the ABB-NV correlation to this region since the correlation uses a minimum value of 48 inches for the heated length in the calculation of the predicted CHF value. The test cases with a bottom peaked non-uniform shape, [ ]aC, had an average M/P of 1.17 with the VIPRE-D code.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-1 9

Table D.5.1-7: Range of Validity for ABB-NV VIPRE-D Pressure (psia) 1750 to 2415 Mass Velocity (Mlbm/hr-ft 2) 0.8 to 3.16 Thermodynamic Quality at CHF < 0.22 Heated Hydraulic Diameter Ratio 0.679 to 1.08 Heated Length (in) 48.0* to 150.0 Distance from Grid (in) 7.3 to 24

  • Although the heated length below the first mixing grid is below 48 inches, the minimum heated length used in the correlation is conservatively set to 48 inches.

Figures D.5.1-1 through D.5.1-8 display the performance of the M/P ratio, and its distributions as a function of the pressure, mass velocity, quality, heated hydraulic diameter ratio, matrix (typical channel) heated hydraulic diameter, heated length, and distance from the grid. To be consistent with the information provided by Westinghouse, the data points for [

],,c were also included into the plots. The objective of these plots is to show that there are no biases in the M/P ratio distribution, and that the performance of the ABB-NV correlation is independent of the independent variables of interest. The plots show no obvious trends or slopes. These plots also show that all the tests in the ABB-NV database are within 3.5 standard deviations from the average. These plots also include the VIPRE-D/ABB-NV DDL. While there appears to be many points outside of the DDL due to the [ ]axc, it is noted that only twenty-four data points (3.3% of the database) are outside the DDL of the

.statistical database, and that these data in excess of the limit are distributed over the variable ranges tested. In looking at the figures in this section, there does not appear to be any trend or bias in the data. Therefore, it can be concluded that the ABB-NV M/P ratio database is independent of the variables it is graphed against.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-20

Figure D.5.1-1: Measured versus Predicted CHF for VIPRE-D/ABB-NV Database 1.4 1.2 0.8 00 M One-Sided 95/95 S0.6 DNBRTolerance Limit forDNBR95/95 of 1.14 0.4 0.2 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2

Predicted CHF, MBtu/hr-ft DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-21

Figure D.5.1-2: M/P CHF Ratio versus Pressure for VIPRE-DIABB-NV Database 1.5 1.4 1.3 1.2 V

0 1.1 "0

4 M 1 0.8 0.9 0

S0.8 One-Sided 95/95 DNBR Tolerance Limit for DNBR 95/95 of 1.14 0.7 0.6 0.5 1700 1800 1900 2000 2100 2200 2300 2400 2500 Pressure, psia DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-22

Figure D.5.1-3: M/P CHF Ratio versus Local Mass Velocity for VIPRE-D/ABB-NV Database 1.5 1.4 1.3

a. 1.2 40
  • 9 L6

-o 1.1

a.
  • 40 4 ra i-4 "ID

~

  • iq 0.9

._o cc 0.8 One-Sided 95/95 DNBR Tolerance Limit for DNBR95 /9 5 of 1.14 0.7 0.6 0.5 0.5 1 1.5 2 2.5 3 3.5 2

Local Mass Velocity, GL, MIb/hr-ft DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-23

Figure D.5.1-4: M/P CHF Ratio versus Local Quality for VIPRE-D/ABB-NV Database 1.5 1.4 1.3 a1.2 *: *** * * *

._0 "0.8 One-Sided 95/95 DNBR Tolerance Limit for DNBR95/95 of 1.14 0.7 0.6 0.5

-0.25 -0.2 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2 0.25 Local Quality, XL DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-24

Figure D.5.1-5: M/P CHF Ratio versus Heated Hydraulic Diameter Ratio for VIPRE-D/ABB-NV Database 1.5 1.4 1.3 0 1.2 Uý U-r 1 0.9 K, It:

0 0.8 0.7 0.6 0.5 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 1.1 Heated Hydraulic Diameter Ratio, Dhm/Dh DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-25

Figure D.5.1-6: M/P CHF Ratio versus Matrix Heated Hydraulic Diameter for VIPRE-D/ABB-NV Database 1.5 1.4 1.3 I

a. 1.2 "o 1.1 P

a.

CU 0.

t.0 M

0.

0.9 0

.2

  • " 0.8 I; 0.6 One-Sided 95/95 DNBR Tolerance Limit for DN BR9s/95 of 1.14 0.7 0.6 0.5 0.3 0.35 0.4 0.45 0.5 0.55 0.6 Matrix Heated Hydraulic Diameter, Dhm, in DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-26

Figure D.5.1-7: M/P CHF Ratio versus Heated Length for VIPRE-D/ABB-NV Database 1.5 1.4 1.3

a. 1.2 0 1.1

-D GD

'U

a. 0.9 0

0.

.o

" 0.8 0.6 0.7 0.6 0.5 40 50 60 70 80 90 100 110 120 130 140 150 160 Heated Length, HL, in DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-27

Figure D.5.1-8: M/P CHF Ratio versus Distance from Grid for VIPRE-D/ABB-NV Database 1.5 1.4 1.3 1.2 "U-2 1.=

-U M.

Ii..

M r 0.

0.

"0 0

0.5 ** *

'* 0.8 One-Sided 95/95 DNBR Tolerance 0.7 Limit for DN BR95/ 95 of 1.14 0.6 0.5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Distance From Grid, DG, in DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-28

The 865 data points [ ]ac of the VIPRE-D/ABB-NV M/P distribution calculated by Dominion were used to create the empirical probability density function. These data points were distributed among 23 equal bins that covered the entire range of M/P in the VIPRE-D/ABB-NV distribution, and the frequency of data in each bin was determined. Figure D.5.1-9 displays the resulting empirical probability density function for the VIPRE-D/ABB-NV M/P distribution, and compares it with the probability density function of the normal distribution of mean 1.0029 and standard deviation 0.0683, which is the mean and standard deviation for the VIPRE-D/ABB-NV distribution.

Figure D.5.1-9: VIPRE-D/ABB-NV Probability Density Function 18.00%

16.00% +

14.00% +

12.00% +

10.00% f 17 F

L.

8.00% f 6.00% +

4.00% +

2.00% + /

0.00% -

0D 0 0 0 0D 0D 0> 0D 0 0 0 0D Oý 0P C'J 0ý C CD (D

( C> 0) 0) O MIP VIPRE-D/ABB-NV Data -NORMAL(1.0029,0.0683)

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-29

D.5.2 VIPRE-DIWLOP RESULTS Reference D4 describes the mathematical model for each separate WLOP CHF test section by providing the bundle and cell geometry, the rod radial peaking values, the rod axial flux shapes, the spacer grid information (i.e., type, axial locations and form losses) and the thermocouple locations. It is noted that some of the bundle and cell geometry information used to model the WLOP CHF test section came from Reference D1. Reference D4 provides the data for each WLOP CHF observation within a test, including power, flow, inlet temperature, pressure and CHF axial location.

The WLOP correlation was developed by Westinghouse by correlating the CHF experimental results as described in Reference D4. Westinghouse then used the test data set and the VIPRE-01 thermal-hydraulics computer code to calculate a DDL of 1.18 for the WLOP correlation (Reference D4). Dominion used these experimental data, as described in Section D.4.2, to develop the VIPRE-D/WLOP code/correlation pair DDL.

[ ]a,' was modeled for analysis with the VIPRE-D thermal-hydraulic computer code as a full assembly model following the modeling methodology discussed in Section 4 in the main body of this report (Reference D5). For [ ]aC VIPRE-D produces the local thermal-hydraulic conditions (mass velocity, thermodynamic quality, heat flux, etc.) at every axial node along the heated length of the test section. The ratio of measured-to-predicted CHF (M/P) is the variable that is normally used to evaluate the thermal-hydraulic performance of a code/correlation pair. The measured CHF is the local heat flux at a given location, while the predicted CHF is calculated by the code using the WLOP CHF correlation. The ratio of these two values provides the M/P ratio, which is the inverse of the DNB ratio. M/P ratios are frequently used to validate CHF correlations instead of DNB ratios, because their distribution is usually a normal distribution, which simplifies their manipulation and statistical analysis.

Table D.5.2-1 provides the average M/P, standard deviation, maximum M/P, and minimum M/P for each [ ]a,,, the correlation database, the validation database, combined correlation and validation database. It is noted that [

]ac were eliminated as outliers in the VIPRE-DIWLOP database, following the method used in Reference D4.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-30

Table D.5.2-1: Summary of VIPRE-D/WLOP Results Test Number of M/P Ratio M/P Ratio M/P Ratio M/P Ratio Tests Average STDEV Max Min a,b,c DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-31

Consistent with Reference D4 subsets of data were used to evaluate the VIPRE-D/WLOP test data. The same subsets used by Westinghouse in Reference D4 have been used herein. The I]a,c subsets evaluated by Westinghouse in Reference D4 are listed as follows:

I Subset Test Included # Points Average Std Dev I_

a,b,c The results of the W and D' normality tests are presented in Table D.5.2-2. The results of the statistical tests for determining normality and poolability of the datasets are presented in Tables D.5.2-2 and D.5.2-3. Table D.5.2-4 provides the results of additional statistical tests that were performed on groups that did not pass the normality test. The statistical tests presented in Tables D.5.2-2 through D.5.2-4 are consistent with the statistical tests presented in Reference D4.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-32

Table D.5.2-2: Summary of VIPRE-DIWLOP W and D' Normality Tests D' D' D' Pass Data N Mean Calculated P=.025 P=.975 Test

]a,b,c [ ]a,b,c 0.9709 110.7 [ ]a,b,c [ ]a,b,c Yes

]a,b,c ]a , b,c 0.9258 112.3 [ ]a,b,c [ ]a,b,c Yes

]a,b,c [ ]a,b,c 0.9596 94.7 [ ]a,b,c [ ]a,b.c No

]a,b,c [ ]a,b,c 0.9584 284.4 [ ]a,b,c [ ]a,b,c Yes

]a,b,c [ ].,b,c 0.9719 1888.5 [ ]a,b,c [ ],b,c No

]a,b,c [ ]a,b,c 0.9621 205.6 [ ]a,b,c ]a,b,c Yes

]a,b,c [ ]a,b,c 0.9701 2570.4 [ ]a,b,c [ ]a,bc No

[ ]a,b,c ]a,b,c 0.9628 597.3 [ ]abc ]a.bc NO

]a,b,c [ ]a,b,c 0.9681 4150.1 ]a,b,c [ ]a,b,c No

[ ]a,b,c ))a,b,c 0.9609 3297.3 ]a,b,c [ ]a,b,c No

]a,b,c [ ]a,b,c 0.9893 1086.5 [ ]a,b,c ]a,b,c No W W Pass Data N Mean Calculated P=.05 Test

],b,c ]a,b,c 0.9899 0.910 [ ]a,b,c No

[ ]ab.c [ ]a,b,c 0.9814 0.984 [ ]a,b,c Yes

].,b.c [ ]a,b,c 0.9748 0.974 [ ]a,b,c Yes

]a,b,c ],b,c 1.0224 0.941 [ ]a,b,c Yes

[ ]a,b,c [ ]a,b,c 0.9516 0.955 [ ]a,b.c Yes

]a,b,c [ ]a,b,c 0.9942 0.970 [ ]a,b,c Yes

]a,b.c [ ]a,b,c 0.9154 0.918 ]a,b,c Yes

]a,b.c [ ]a,b,c 1.0228 0.959 [ ]a,b,c Yes

[ ]a,b.c [ ]a,b,c 0.9679 0.937 ],b,c Yes

]a,b,c [ ]a,b,c 0.9718 0.935 [ ]a,bc No

]a,b,c ]a ,b,c 0.9813 0.951 [ ]a,b,c Yes

[ ]a,b,c [ ]a, bc 0.9409 0.955 [ ]a,b,c Yes

]a,b,c [ ]a.b.c 0.9367 0.954 [ ]a.bc Yes

[ ]a,b,c [ ]a,b.c 0.9964 0.980 [ ]a,b,c Yes DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-33

Table D.5.2-3: VIPRE-D/WLOP M/P CHF Statistical Comparison Tests for Parametric Distribution Bartlett Test Results - WLOP Data Database N Mean, p s K M I C M/C I PassTest ALL 608 0.9681 0.0834 18 72.16 1.0145 71.13 27.585 No F Test Results - WLOP Data Database I I K N8 S [ S2 SlS 2 I F.95(n*,n 2 ) I Pass Test ALL 18 608 0.0241 1 0.0066 3.656 1.64 No Bartlett Test Results - WLOP Data Database N Mean, p s K M C M/C X2.9 PaSTest

( c[]a'b IjEc 0.9701 0.0788 - -

]a,b,c [ ]a,b,C 0.9628 0.0947 - - - - -

f 57 0.9681 0.0834 2 8.6444 1.0022 8.6253 3.84 No

]a~b,cx[ ja, x 0.9719 0.0739 - - - - -

S ]a~b~c ]aiC 0.9621 0.0975 - - - - -

axb,c [ ]a,o,c 0.9701 0.0788 2 11.4073 1.0043 11.3586 3.84 No

]a,b,c 1[ ]a,b,c 0.9609 0.078711 1 39.874 1.0149 139.289 22.a68b No

]a,b,c [ ]a,b,c 0.9893 0.08611 [ 52.750 1.0155 51.946 15.507 No t-Test Results with Unequal Variances - WLOP Data Database N Mean, p s pl - p2 t t.9 7 5 Test

[a,bXC [ ]a,bc 0.9701 0.0788 -

]abC [ ]ajc 0.9628 0.0947 -

[fb. -0.9681 0.0834 0.00725 0.880 1.9700 Yes

[ ]ab.c [ J5,1x 0.9719 0.0739 - t -

I ja,b,c ]afb,c 0.9621 0.0975 - 1 -

]abC [ 0.9701 0.0788 0.0098 0.85386 1 1.9800 Yes F-Test Results - WLOP Data Database n1 j n2 S, S2 S 1/S 2 F.95(n 1,n 2) PaTest

]a,,,c [ ] ,l, ]'" 0.0146 0.0060 2.4518 1.69 No

[ac[ ]ac~

c 0.0136 0.0072 1.8894 1.94 Yes DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D -34

Table D.5.2-4: VIPRE-DIWLOP M/P CHF Statistical Comparison Tests for Non-Parametric Distribution While some values from the statistical tests exceed the critical values given, these groups are still grouped to be consistent with the results reported in Reference D4. These statistical tests are not the sole measure of the performance of a CHF correlation, but they would indicate extremely bad mismatches in the data (i.e., test exceeding acceptance criteria by a very large amount).

Since all of the data in the combined correlation and validation database [

]a~c VIPRE-D/WLOP code/correlation pair DDL has been calculated used parametric and non-parametric statistical techniques for [ ]a,c, and the entire WLOP datasets. The most limiting calculated DDL is then applied as the DDL for the VIPRE-D/WLOP code/correlation pair DDL.

The DDL assuming a parametric data set is calculated using one-sided tolerance theory. This theory allows the calculation of a DNBR limit so that, for a DNBR equal to the DDL, DNB will be avoided with 95% probability at a 95% confidence level. The DNBR DDLs are calculated as follows:

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-35

DNBRDDL = 1.0 [D.5.2.1]

M/P-K*O'M/P "1 / 2.706

  • 1 I*

1.645+1.645[1 (1- t()*,-!)] [n.5.2.2]

K*

  • 1---

2.706 2(N) where M/P = average measured to predicted CHF ratio O'M/P = standard deviation of the measured to predicted CHF ratios of the database K = 95/95 confidence multiplier (expression from Reference D4, practically equivalent to Owen's table) n = number of data points N = degrees of freedom Normally, the number of degrees of freedom would be the total number of data minus one.

However, because Westinghouse used these experimental data to correlate the [ ]a,c constants that appear in the WLOP correlation, the total number of degrees of freedom must be corrected to account for this. In addition, the standard deviation of the database needs to be corrected accordingly to account for this reduced number of degrees of freedom:

N =n-1-[ ]a~c [D.5.2.3]

CN = c'M/p " [ (n -1) / N ] /2 Then, the parametric DDL for the VIPRE-D/WLOP code/correlation pair is calculated as shown in Table D.5.2-5.

Table D.5.2-5: Statistical Analysis of VIPRE-DIWLOP DDL

[ ]a.,c ]a.,c [ ]a.c Number of data n [ ]a,bc [ ]a,b,c [ ]a,b,c Degrees of freedom N n [ ]a,c ]a,b,c ]a,b,c [ ]a,b,c Average M/P M/P 0.9681 0.9609 0.9893 Standard Deviation 0

'M/P 0.0834 0.0787 0.0861 Corrected Standard Deviation ("N = aMP" [ (n -1)/N] ' [ a~b~ c ]a,b,c ]a~b~c Owens Factor K I ]ac [ ]ac [ ]a,c WLOP Design limit DNBRL = 1 /(M/P-K-K N) 1.2196 1.2194 1.2087 Correcting for the number of constants in the WLOP correlation has no significant effect, and it is more conservative to make the correction. This results in a DDL of 1.22.

The DDL assuming a non-parametric data set is calculated using a distribution free approach as described in Reference D4. A distribution free approach applies to data groups that do not pass

.the D' normality test, also known as non-parametric data. The largest value of m such that one can assert with 95% confidence that 95% of the population lies above the mth smallest value of DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-36

Xi where Xi is an individual test run value of the ratio of measured to correlation predicted CHF in the non-normally distributed group was taken from Table A-31 of Reference D7. The non-parametric DNBR DDLs are presented in Table D.5.2-6.

Table D.5.2-6: VIPRE-DIWLOP DDL Calculation for Non-Parametric Data M/P = 1Nalue Database P n m Value DNBR95

]abc 0.95 0.95 [ ]a,b,c [ ]a,b,c 0.8244 1.213

[ ]aDc 0.95 0.95 [ ]a,b,c [ ]a,b,c 0.8258 1.211

[ ]a,*,c 0.95 0.95 abc0.8306 1.204 Ranking of Data from All Test MIP Rank

]a,b,c 0.6671 1

[ ]a,b,c 0.7077 2

]a,b,c 0.7168 3

]a,bc 0.7262 4

[ ]a,b,c 0.7508 5 S ]a,b,c 0.7675 6

]a,b,c 0.7788 7

[ ]a,b,c 0.7813 8

]a,b,c 0.7862 9

]a,b,c 0.7886 10

]a,b,c 0.7937 11

]a,b,c 0.7943 12

]j,b,c 0.8039 13

]a,b,c 0.8045 14

]a,b,c 0.8045 15

]a,b,c 0.8058 16

]a,b,c 0.8084 17

[ ]a,b,c 0.8170 18 S ]a,b,c 0.8177 19 S]a,b,c 0.8190 20

[ ]a,b,c 0.8244 21

[ ]a,b,c 0.8258 22 S ]a,b,c 0.8278 23

[

],b,c 0.8285 24 The non-parametric data results in a DDL of 1.21. When comparing the non-parametric DDL to the parametric DDL of 1.22, the conservative DDL is 1.22. This value is conservative compared to the value reported by Westinghouse in Reference D4, 1.18, which has been approved by the USNRC.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-37

The difference between the VIPRE-D/WLOP code/correlation DDL quantified above and the VIPRE-W/WLOP code/correlation DDL quantified in Reference D4 is due to the difference in modeling guidelines used by Dominion (Reference D5) and Westinghouse (Reference D2).

Dominion has chosen not to change the modeling guidelines used with the VIPRE-D/WLOP code/correlation pair, in order to apply the same set of modeling guidelines that are used with the primary CHF correlation. When the modeling guidelines of Reference D2 are used with VIPRE-D, the difference in results between VIPRE-D and VIPRE-W are negligible (i.e., within rounding error, due to being run on different computer platforms).

Table D.5.2-7 summarizes the ranges of validity for the VIPRE-D/WLOP correlation. These ranges are identical to those submitted by Westinghouse in Reference D4. A minimum value of 48 inches for the heated length is used in the calculation of the WLOP predicted CHF value.

Table D.5.2-7: Range of Validity for WLOP I VIPRE-D Pressure (psia) 185 to 1800 Mass Velocity (Mlbm/hr-ft 2) 0.23 to 3.07 Thermodynamic Quality at CHF < 0.75 Matrix Heated Hydraulic Diameter (in) 0.4635 to 0.5334 Heated Hydraulic Diameter Ratio 0.679 to 1.00 Heated Length (in) 48* to 168 Grid Spacing Term 27 to 115

  • Although the heated length below the first mixing grid is below 48 inches, the minimum heated length used in the correlation is conservatively set to 48 inches.

Figures D.5.2-1 through D.5.2-8 display the performance of the M/P ratio, and its distributions as a function of the pressure, mass velocity, quality, heated hydraulic diameter ratio, matrix (typical channel) heated hydraulic diameter, heated length, and grid spacing term. The objective of these plots is to show that there are no biases in the M/P ratio distribution, and that the performance of the WLOP correlation is independent of the independent variables of interest.

The plots show no obvious trends or slopes. These plots include the DNBR DDL. It is noted that only twenty data points (3.3% of the database) are outside the DDL of the statistical database, and that these data in excess of the limit are distributed over the variable ranges tested. In looking at the figures in this section, there does not appear to be any trend or bias in the data.

Therefore, it can be concluded that the WLOP M/P ratio database is independent of the variables it is graphed against.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-38

Figure D.5.2-1: Measured versus Predicted CHF for VIPRE-D/WLOP Database 1.4 1.2 IN z

C-S0.8 w 0.6 .- " "

0.6 o= One-Sided 95/95 M .Tolerance Limit for 9 5 of 1. 22 04DNBR 0.2 0

0 0.2 0.4 0.6 0.8 1 1.2 1.4 Predicted CHF, MBtu/hr-ft2 DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-39

Figure D.5.2-2: M/P CHF Ratio versus Pressure for VIPRE-DIWLOP Database 1.4 1.3 1.2 1.1 m

TZ0.9 0.8

.2 0 0.7 0.6 0.5 0.4 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Pressure, psia DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-40

Figure D.5.2-3: MIP CHF Ratio versus Local Mass Velocity for VIPRE-DIWLOP Database 1.4 1.3 0 0

I 0 1.2 0 00 g 0o 1.1 LL

." 0 0.o 300 .0 00. 00 s 0 Oo

.80 0fe0ese0 0 0 M .. .. '.. . ..... . -e - 0 0* 8 o* Po C,,

00 9 0 00 So *'_* *

  • 0.9 M

I 0.8 b -- 0 0

0 0 0

.o 0.7 One-Sided 95/95 0

Tolerance Limit for DN BR95 of 1.22 0.6 0.5 0.4 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 2.25 2.5 2.75 3 3.25 3.5 2

Local Mass Velocity, MIb/hr-ft DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-41

Figure D.5.2-4: MIP CHF Ratio versus Local Quality for VIPRE-DIWLOP Database 1.4 1.3 0 0

S 1.2 S a- 00 0 S *ee 0

-1.1 0

U- S

  • U I. 0 S&.0.e 0go 0 0 go 0 00 06 *0 0 * *% 0 06 0 0  :!SeP 1~! Poo 00

- 0

  • 0 0

00 0j ,. *~ S %g 0.9 M

0 S0.8 Ig 0 0

  • 0 0 0

S

.o 0.7 S S S One-Sided 95/95Tolerance Limit 0

for DN BR95 of 1.22 0.6 0.5 0.4

-0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 Local Quality DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-42

Figure D.5.2-5: M/P CHF Ratio versus Heated Hydraulic Diameter Ratio for VIPRE-DIWLOP Database 1.4 1.3 S S

1.2 I 1.1 0.9 00.8 0

0 o 0.7 I One-Sided 95/95Tolerance Limit 0 for DN BR95 of 1.22 0.6 0.5 0.4 0.6 0.7 0.8 0.9 1 1.1 Heated Hydraulic Diameter Ratio DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-43

Figure D.5.2-6: M/P CHF Ratio versus Matrix Heated Hydraulic Diameter for VIPRE-DIWLOP Database 1.4 1.3 1.2

. 1.1 UL M

a.

S0.9 M0 S0.8-0 o 0.7 M One-Sided 95/95 Tolerance Limit for 0.6 DN BR95 of 1.22 0.5 0.4 I I I 0.4 0.425 0.45 0.475 0.5 0.525 0.55 0.575 0.6 Matrix Channel Heated Hydraulic Diameter, Dhm [in.]

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-44

Figure D.5.2-7: M/P CHF Ratio versus Heated Length for VIPRE-DIWLOP Database 1.4 1.3 0 U 2 1.2 0 S a-S I

I 3

S To-0.9 0

I S

a' 0.8 3

  • 0 0

4- 0 9

.o 0.7 One-Sided 95/95Tolerance S 0

Limit for DNBR 95 of 1.22 0.6 S

0.5 0.4 I I I I I 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 Heated Length (in.]

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-45

Figure D.5.2-8: M/P CHF Ratio versus Grid Spacing Term for VIPRE-DIWLOP Database 1.4 1.3 1.2 0 0.

0.0

' S "r "!

M 0.8

$ I 0.63

!0.96 201.30 40 50607 8 00 S0.853 20304 5 0 7 090 o 0.7 OneSidedid5SpaolengnTeLimitGfo DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-46

The 608 data points of the VIPRE-D/WLOP M/P distribution calculated by Dominion were used to create the empirical probability density function. These data points were distributed among 22 equal bins that covered the entire range of M/P in the VIPRE-D/WLOP distribution, and the frequency of data in each bin was determined. Figure D.5.2-9 displays the resulting empirical probability density function for the VIPRE-D/WLOP M/P distribution, and compares it with the probability density function of the normal distribution of mean 0.9681 and standard deviation 0.0834, which is the mean and standard deviation for the VIPRE-D/WLOP distribution.

Figure D.5.2-9: VIPRE-DIWLOP Probability Density Function 20.00%

18.00% +I 16.00% +

14.00% -t-12.00% +

or U.

10.00% +J

/

8.00% +

6.00% +

4.00%

2.00% Jrwý"1, 0.00%

oD C 0 0 0 0 r0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 (D n CN ILO CO*- N-0 0 Gý Cý q C? C>O 014" Cq CD CD CD C MIP

=VIPRE-D/WLOP Data - NORMAL(0.9681,0.0834)

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-47

D.6 CONCLUSIONS The ABB-NV and WLOP correlations have been qualified with Dominion's VIPRE-D computer code. Table D.6-1 summarizes the DDLs for the VIPRE-D/ABB-NV and VIPRE-D/WLOP code/correlation pairs that yield a 95% non-DNB probability at a 95% confidence level.

The VIPRE-D/ABB-NV and VIPRE-D/WLOP DDLs are more conservative limits than the limits developed by Westinghouse in Reference D4. The ABB-NV and WLOP CHF correlations have been approved by the USNRC for use with Westinghouse and CE PWR fuel designs (Reference D4).

Table D.6-1: VIPRE-D/ABB-NV and VIPRE-D/WLOP DDLs Dominion Westinghouse Correlation VIPRE-D VIPRE-01 DNBR Limit DNBR Limit ABB-NV 1.14 1.13 WLOP 1.22 1.18 Table D.6-2 and Table D.6-3 summarizes the applicability and the ranges of validity for VIPRE-D/ABB-NV and VIPRE-D/WLOP code/correlation pairs, respectively.

Table D.6-2: Range of Validity for VIPRE-DIABB-NV Parameter VIPRE-D/ABB-NV Pressure 1750 to 2415 (psia)

Mass Velocity (Mlbm/hrft 2 ) 0.8 to 3.16 Thermodynamic < 0.22 Quality at CHF Heated Length (in) 48* to 150 Heated Hydraulic 0.679 to 1.08 Diameter Ratio Grid Distance (in) 7.3 to 24 Although the heated length below the first mixing grid is below 48 inches, the minimum heated length used in the correlation is conservatively set to 48 inches.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-48

Table D.6-3: Range of Validity for VIPRE-DIWLOP Parameter VIPRE-D/WLOP Pressure 185 to 1800 (psia)

Thermodynamic < 0.75 Quality at CHF Mass Velocity 0.23 to 3.07 (Mlbm/hr-ft 2)

Matrix Heated Hydraulic Diameter 0.4635 to 0.5334 (in)

Heated Hydraulic 0.679 to 1.00 Diameter Ratio Heated Length (in) 48* to 168 Grid Spacing Term 27 to 115 Although the heated length below the first mixing grid is below 48 inches, the minimum heated length used in the correlation is conservatively set to 48 inches.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-49

D.7 REFERENCES D1. Topical Report, CENPD-387-P-A, Rev. 0, "ABB Critical Heat Flux Correlations for PWR Fuel," May 2000.

D2. Topical Report, WCAP-14565-P-A, Rev. 0, "VIPRE-01 Modeling and Qualification for Pressurized Water Reactor Non-LOCA Thermal-Hydraulic Safety Analysis," October 1999.

D3. Topical Report, WCAP-14565-P-A, Rev. 0, Addendum 1-A, "Addendum 1 to WCAP-14565-P-A Qualification of ABB Critical Heat Flux Correlations with VIPRE-01 Code," August 2004.

D4. Topical Report, WCAP-14565-P-A, Rev. 0, Addendum 2-P-A, "Addendum 2 to WCAP-14565-P-A Extended Application of ABB-NV Correlation and Modified ABB-NV Correlation WLOP for PWR Low Pressure Applications," April 2008.

D5. Fleet Report, DOM-NAF-2, Rev. 0.2-P-A, with Appendixes A, B, and C, "Reactor Core Thermal-Hydraulics Using the VIPRE-D Computer Code," August 2010.

D6. ANSI N15.15-1974, "American National Standard Assessment of the Assumption of Normality (Employing Individual Observed Values)," October 1973.

D7. Experimental Statistics, National Bureau of Standards Handbook 91, Department of Commerce, August 1963.

DOM-NAF-2-NP, Rev. 0.3, APPENDIX D D-50

Serial No.13-145 Docket Nos. 50-280/281 and 50-338/339 ATTACHMENT 8 WESTINGHOUSE ELECTRIC COMPANY LLC, APPLICATION FOR WITHHOLDING PROPRIETARY INFORMATION FROM PUBLIC DISCLOSURE AND THE ACCOMPANYING AFFIDAVIT Virginia Electric and Power Company (Dominion)

Surry Power Station Units 1 and 2 North Anna Power Station Units 1 and 2

Westinghouse Electric Company

( Westinghouse Nuclear Services 1000 Westinghouse Drive Cranberry Township, Pennsylvania 16066 USA U.S. Nuclear Regulatory Commission Direct tel: (412) 374-4643 Document Control Desk Direct fax: (724) 720-0754 11555 Rockville Pike e-mail: greshaja@westinghouse.com Rockville, MD 20852 Proj letter: NF-VP-13-35 CAW-13-3687 May 10, 2013 APPLICATION FOR WITHHOLDING PROPRIETARY INFORMATION FROM PUBLIC DISCLOSURE

Subject:

DOM-NAF-2-P, Rev. 0.3 Appendix D, "Qualification of the ABB-NV and WLOP CHF Correlations in the Dominion VIPRE-D Computer Code" (Proprietary)

The proprietary information for which withholding is being requested in the above-referenced report is further identified in Affidavit CAW-13-3687 signed by the owner of the proprietary information, Westinghouse Electric Company LLC, The affidavit, which accompanies this letter, sets forth the basis on which the information may be withheld from public disclosure by the Commission and addresses with specificity the considerations listed in paragraph (b)(4) of 10 CFR Section 2.390 of the Commission's regulations.

Accordingly, this letter authorizes the utilization of the accompanying affidavit by Dominion Generation.

Correspondence with respect to the proprietary aspects of the application for withholding or the Westinghouse affidavit should reference CAW-13-3687, and should be addressed to James A. Gresham, Manager, Regulatory Compliance, Westinghouse Electric Company, Suite 428, 1000 Westinghouse Drive, Cranbenry Township, Pennsylvania 16066.

Very truly yours, A esham, Manager Regulatory Compliance Enclosures

CAW-13-3687 AFFIDAVIT COMMONWEALTH OF PENNSYLVANIA:

ss COUNTY OF BUTLER:

Before me, the undersigned authority, personally appeared James A. Gresham, who, being by me duly sworn according to law, deposes and says that he is authorized to execute this Affidavit on behalf of Westinghouse Electric Company LLC (Westinghouse), and that the averments of fact set forth in this Affidavit are true and correct to the best of his knowledge, information, and belief:

rs A Greshan, Manager Regulatory Compliance Sworn to and subscribed before me this /04A day of "1n .- 2013 Notary Public COMMONWEALTH OF PENNSYLVANIA Notarlal Seal Anne M.Stegrman, Notary Public Unity Twp., Westmoreland County My Commission Expires Aug. 7, 2016 Mf'F * . -YjVANIAASSOCIATION OFNOTARiES

2 CAW-13-3687 (1) I am Manager, Regulatory Compliance, in Nuclear Services, Westinghouse Electric Company LLC (Westinghouse), and as such, I have been specifically delegated the function of reviewing the proprietary information sought to be withheld from public disclosure in connection with nuclear power plant licensing and rule making proceedings, and am authorized to apply for its withholding on behalf of Westinghouse.

(2) I am making this Affidavit in conformance with the provisions of 10 CFR Section 2.390 of the Commission's regulations and in conjunction with the Westinghouse Application for Withholding Proprietary Information from Public Disclosure accompanying this Affidavit.

(3) 1 have personal knowledge of the criteria and procedures utilized by Westinghouse in designating information as a trade secret, privileged or as confidential commercial or financial information.

(4) Pursuant to the provisions of paragraph (b)(4) of Section 2.390 of the Commission's regulations, the following is furnished for consideration by the Commission in determining whether the information sought to be withheld from public disclosure should be withheld.

(i) The information sought to be withheld from public disclosure is owned and has been held in confidence by Westinghouse.

(ii) The information is of a type customarily held in confidence by Westinghouse and not customarily disclosed to the public. Westinghouse has a rational basis for determining the types of information customarily held in confidence by it and, in that connection, utilizes a system to determine when and whether to hold certain types of information in confidence. The application of that system and the substance of that system constitutes Westinghouse policy and provides the rational basis required.

Under that system, information is held in confidence if it falls in one or more of several types, the release of which might result in the loss of an existing or potential competitive advantage, as follows:

(a) The information reveals the distinguishing aspects of a process (or component, structure, tool, method, etc.) where prevention of its use by any of

3 CAW-13-3687 Westinghouse's competitors without license from Westinghouse constitutes a competitive economic advantage over other companies.

(b) It consists of supporting data, including test data, relative to a process (or component, structure, tool, method, etc.), the application of which data secures a

.competitive economic advantage, e.g., by optimization or improved marketability.

(c) Its use by a competitor would reduce his expenditure of resources or improve his competitive position in the design, manufacture, shipment, installation, assurance of quality, or licensing a similar product.

(d) It reveals cost or price information, production capacities, budget levels, or commercial strategies of Westinghouse, its customers or suppliers.

(e) It reveals aspects of past, present, or future Westinghouse or customer funded development plans and programs of potential commercial value to Westinghouse.

(f) It contains patentable ideas, for which patent protection may be desirable.

There are sound policy reasons behind the Westinghouse system which include the following:

(a) The use of such information by Westinghouse gives Westinghouse a competitive advantage over its competitors. It is, therefore, withheld from disclosure to protect the Westinghouse competitive position.

(b) It is information that is marketable in many ways. The extent to which such information is available to competitors diminishes the Westinghouse ability to sell products and services involving the use of the information.

(c) Use by our competitor would put Westinghouse at a competitive disadvantage by reducing his expenditure of resources at our expense.

4 CAW- 13-3687 (d) Each component of proprietary information pertinent to a particular competitive advantage is potentially as valuable as the total competitive advantage. If competitors acquire components of proprietary information, any one component may be the key to the entire puzzle, thereby depriving Westinghouse of a competitive advantage.

(e) Unrestricted disclosure would jeopardize the position of prominence of Westinghouse in the world market, and thereby give a market advantage to the competition of those countries.

(f) The Westinghouse capacity to invest corporate assets in research and development depends upon the success in obtaining and maintaining a competitive advantage.

(iii) The information is being transmitted to the Commission in confidence and, under the provisions of 10 CFR Section 2.390, it is to be received in confidence by the Commission.

(iv) The information sought to be protected is not available in public sources or available information has not been previously employed in the same original manner or method to the best of our knowledge and belief.

(v) The proprietary information sought to be withheld in this submittal is that which is appropriately marked in DOM-NAF-2-P, Rev. 0.3 Appendix D, "Qualification of the ABB-NV and WLOP CHF Correlations in the Dominion VIPRE-D Computer Code" (Proprietary) for submittal to the Commission, being transmitted by Dominion Generation letter and Application for Withholding Proprietary Information from Public Disclosure, to the Document Control Desk. The proprietary information as submitted by Westinghouse is that associated with the review of Dominion's qualification report, and may be used only for that purpose.

This information is part of that which will enable Westinghouse to:

(a) Assist customer in obtaining NRC review of their qualification report.

5 CAW- 13-3687 Further this information has substantial commercial value as follows:

(a) Assist customer to obtain license changes.

(b) The information requested to be withheld reveals the distinguishing aspects of Cl-IF correlations which were developed by Westinghouse.

Public disclosure of this proprietary information is likely to cause substantial harm to the competitive position of Westinghouse because it would enhance the ability of competitors to provide similar methodology and licensing defense services for commercial power reactors without commensurate expenses. Also, public disclosure of the information would enable others to use the information to meet NRC requirements for licensing documentation without purchasing the right to use the information.

The development of the technology described in parl by the information is the result of applying the results of many years of experience in an intensive Westinghouse effort and the expenditure of a considerable sum of money.

In order for competitors of Westinghouse to duplicate this information, similar technical programs would have to be performed and a significant manpower effort, having the requisite talent and experience, would have to be expended.

Further the deponent sayeth not.

PROPRIETARY INFORMATION NOTICE Transmitted herewith are proprietary and/or non-proprietary versions of documents furnished to the NRC in connection with requests for generic and/or plant-specific review and approval.

In order to conform to the requirements of 10 CFR 2.390 of the Commission's regulations concerning the protection of proprietary information so submitted to the NRC, the information which is proprietary in the proprietary versions is contained within brackets, and where the proprietary information has been deleted in the non-proprietary versions, only the brackets remain (the information that was contained within the brackets in the proprietary versions having been deleted). The justification for claiming the information so designated as proprietary is indicated in both versions by means of lower case letters (a) through (f) located as a superscript immediately following the brackets enclosing each item of information being identified as proprietary or in the margin opposite such information. These lower case letters refer to the types of information Westinghouse customarily holds in confidence identified in Sections (4)(ii)(a) through (4)(ii)(f) of the affidavit accompanying this transmittal pursuant to 10 CFR 2.390(b)(1).

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