ML100471151

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: ML100470947 ML100471104 ML100471136 ML100471151
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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 Station (PVNGS)

Optira p (Omaha,

( , NE))

Laser Scanning Insulation ON/OFF Study

Palo Verde Nuclear Generating 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 - CE System 80 2 Identical Emergency Core Cooling System (ECCS)

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

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

Resulting Actions from Generic Letter 2008-2008-01 Extensive laser scanning of the SI piping to determine pipe slope and high points To minimize T i i i subsequent b cost, Unit U i 1 was completely laser scanned with insulation on and then off (insulation removed on horizontal piping only)

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

Aluminum clad Calcium Silicate (CalSil) in the 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 Letter 2008-2008-01 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 Letter 2008- 2008-01 Pipe Diameters Scanned Aux Suction - 24 (Sump), 20 (RWT), 18, 16, 14, 10 Discharge - 20 20,, 12 12,, 10 10,, 66,, 44,, 33,, 22 CNTMT Suction - 24 (Sump), 16 (SDC)

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

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

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

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

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

+/-3mm and below

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

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

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

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

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

Resulting Actions from Generic Letter 2008-2008-01 Least squared linear regression test demonstrated CalSil and FFG were excellent predictors of the un-insulated pipes high point having accuracy between 99.89 99 89 and 99.99 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 RMI Model CalSil Model 0.08 1.2 0.07 1

0.06 0.8 0.05 0.04 Expected Expected 0.6 S S(B) 0.03 0.4 0.02 0.2 0.01 0

0 0 0.02 0.04 0.06 0.08 0 0.05 0.1 0.15 0.2 0.25

QUESTIONS