ML100471151

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NEI Gas/Void Workshop - Palo Verde Nuclear Generating Station Optira - Unit 1 SL Pipe Insulation On/Off Study
ML100471151
Person / Time
Site: Palo Verde  
Issue date: 01/21/2010
From:
Nuclear Energy Institute
To:
Office of Nuclear Reactor Regulation
Lyon W, DSSA/SRXB, 415-2897
Shared Package
ML100480102 List:
References
Download: ML100471151 (18)


Text

NEI Gas/Void Workshop Palo Verde Nuclear Generating Station Optira Unit 1 SI Pipe Insulation ON/OFF Study Savannah, GA January 2010

Palo Verde Nuclear Generating Palo Verde Nuclear Generating Station (PVNGS)

Station (PVNGS)

Optira (Omaha, NE)

Optira (Omaha, NE) p

(

)

p

(

)

Laser Scanning Insulation Laser Scanning Insulation ON/OFF Study ON/OFF Study

Palo Verde Nuclear Generating Palo Verde Nuclear Generating Station (PVNGS)

Station (PVNGS)

  • Frank Gaber
  • Safety Injection System Engineer
  • 1-623-393-6510
  • Frank.Gaber@APS.com

Optira San Jose, CA

  • Greg Conklin

- Chief Operating Officer

- gconklin@Optira.com 408 615 0120

- 408-615-0120

PVNGS PVNGS -- CE System 80 CE System 80 2 Identical Emergency Core Cooling System (ECCS) 2 Identical Emergency Core Cooling System (ECCS)

Trains Trains Separate suction feed from the Refueling Water Tank Separate suction feed from the Refueling Water Tank (RWT)

(RWT)

Separate suction feed from the Containment Separate suction feed from the Containment Recirculation Sump Recirculation Sump 1 High Pressure Safety Injection (HPSI) pump per train 1 High Pressure Safety Injection (HPSI) pump per train 1 Low Pressure Safety Injection (LPSI) pump per train 1 Low Pressure Safety Injection (LPSI) pump per train 1 Containment Spray (CS) pump per train 1 Containment Spray (CS) pump per train

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 Extensive laser scanning of the SI piping to determine pipe slope and high points T

i i i b

U i 1 To minimize subsequent cost, Unit 1 was completely laser scanned with insulation on and then off (insulation removed on horizontal piping only)

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 PVNGS uses 3 types of insulation on the SI system.

Aluminum clad Calcium Silicate (CalSil) in the Auxiliary Building Auxiliary Building Stainless Steel Reflective Mirror (RMI) in the Containment Building Aluminum clad Formed Fiberglass (FFG) in the Essential Pipe Tunnel

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 Laser Scanned approximately 4800 feet of SI piping 3300 Auxiliary Building (CalSil) 1300 Containment (RMI) 200 Essential Pipe Tunnel (FFG)

Comparison performed on approximately 3500 feet of SI piping 2200 Auxiliary Building (CalSil) 1100 Containment (RMI) 200 Essential Pipe Tunnel (FFG)

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 Pipe Diameters Scanned Aux Suction - 24 (Sump), 20 (RWT), 18, 16, 14, 10 Discharge - 20, 12, 10, 6, 4, 3, 2 Discharge 20, 12, 10, 6, 4, 3, 2 CNTMT Suction - 24 (Sump), 16 (SDC)

Discharge - 14, 12, 10, 3 Essential Pipe Tunnel Suction - 20 (RWT)

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 Optira performed a statistical (least squared linear regression test) comparison for the 3 individual types of insulation (Al clad Calcium Silicate (CalSil) Al clad formed fiberglass (FFG)

Silicate (CalSil), Al clad formed fiberglass (FFG) and Reflective Mirror (RMI))

Data Collection Data Collection Data Collected with Phase Data Collected with Phase--Based 3D Laser Based 3D Laser Scanners.

Scanners.

Lasers validated twice daily by modeling Optira Lasers validated twice daily by modeling Optira designed calibration artifacts traceable to NIST designed calibration artifacts traceable to NIST designed calibration artifacts traceable to NIST designed calibration artifacts traceable to NIST Entire SI system placed on plant grid Entire SI system placed on plant grid coordinates using Total Station Survey System coordinates using Total Station Survey System Acceptable tolerance limits at +/

Acceptable tolerance limits at +/--3mm and 3mm and below below

Data Extraction Data Extraction Leica Cyclone Leica Cyclone--MODEL v.6 MODEL v.6 Double Entry Method Double Entry Method In In--house Data Entry Application house Data Entry Application Microsoft SQL Server 2005 Microsoft SQL Server 2005 Segment Centerline Endpoints Segment Centerline Endpoints WITH Insulation WITH Insulation WITHOUT Insulation WITHOUT Insulation

Typical One Line Drawing Typical One Line Drawing One Line Drawings are One Line Drawings are AutoCAD views of a system AutoCAD views of a system by elevation and used to by elevation and used to depict and then calculate high depict and then calculate high points along a centerline of points along a centerline of pipe along that system.

pipe along that system.

Data Processing Data Processing In In--house Data Transform Application house Data Transform Application Normalized Data for each Type [ 0, 1 ]

Normalized Data for each Type [ 0, 1 ]

Microsoft Excel Analysis Pack Add Microsoft Excel Analysis Pack Add--inin Regression Regression Case 1 as real value Case 1 as real value Case 2 as sample value Case 2 as sample value Intra Partitions based on residual clustering Intra Partitions based on residual clustering

Model Validation Model Validation R values extremely good R values extremely good But, R alone is not enough But, R alone is not enough Graphical model confirmation Graphical model confirmation Regression Model plots stacked Regression Model plots stacked Visually, the sample data fits the Visually, the sample data fits the modeled values modeled values

Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008--01 01 Least squared linear regression test demonstrated CalSil and FFG were excellent predictors of the un-insulated pipes high point having accuracy between 99 89 and 99 99 having accuracy between 99.89 and 99.99 percent, while the RMI insulation proved less than 45.00 percent accurate based on the Adjusted R from the respective regression models

Regression Fits Regression Fits RMI Model RMI Model CalSil CalSil Model Model 1

1.2 0.06 0.07 0.08 0

0.2 0.4 0.6 0.8 0

0.05 0.1 0.15 0.2 0.25 Expected S(B) 0 0.01 0.02 0.03 0.04 0.05 0

0.02 0.04 0.06 0.08 Expected S

QUESTIONS QUESTIONS