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{{#Wiki_filter:NEI Gas/Void WorkshopPalo Verde Nuclear Generating Station OptiraUnit 1 SI Pipe Insulation ON/OFF Study Savannah, GA January 2010 Palo Verde Nuclear Generating Palo Verde Nuclear Generating Station (PVNGS)
{{#Wiki_filter:NEI Gas/Void Workshop Palo Verde Nuclear Generating Station Optira Unit 1 SI Pipe Insulation ON/OFF Study Savannah, GA January 2010
Station (PVNGS)
O p tira (Omaha , NE)O p tira (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)
Palo Verde Nuclear Generating Station (PVNGS)
Trains Trains Separate suction feed from the Refueling Water Tank Separate suction feed from the Refueling Water Tank (RWT)(RWT)
Optira p    (Omaha,
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-
(         , NE))
-01 01Extensive laser scanning of the SI piping to determine pipe slope and high pointsTiiibUi1T o m i n i m i ze su b sequent cost, U n i t 1 was completely laser scanned with insulation on and then off (insulation removed on horizontal piping only)
Laser Scanning Insulation ON/OFF Study
Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008-
-01 01PVNGS uses 3 types of insulation on the SI system.Aluminum clad Calcium Silicate (CalSil) in the AuxiliaryBuilding Auxiliary BuildingStainless Steel Reflective Mirror (RMI) in the Containment BuildingAluminum clad Formed Fiberglass (FFG) in the


Essential Pipe Tunnel Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008-
Palo Verde Nuclear Generating Station (PVNGS)
-01 01Laser Scanned approximately 4800 feet of SI piping3300' Auxiliary Building (CalSil)1300' Containment (RMI)200' Essential Pipe Tunnel (FFG)Comparison performed on approximately 3500 feet of SI piping2200' Auxiliary Building (CalSil)1100' Containment (RMI)200' Essential Pipe Tunnel (FFG)
* Frank Gaber
Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008-
* Safety Injection System Engineer
-01 01Pipe Diameters ScannedAux Suction -24" (Sump), 20" (RWT), 18", 16", 14", 10" Discharge-20",12",10",6",4",3",2"Discharge 20, 12, 10, 6, 4, 3, 2CNTMT Suction -24" (Sump), 16" (SDC)Discharge -14", 12", 10", 3"Essential Pipe TunnelSuction -20" (RWT)
* 1-623-393-6510
Resulting Actions from Generic Resulting Actions from Generic Letter 2008 Letter 2008-
* Frank.Gaber@APS.com
-01 01Optira performed a statistical (least squared linear regression test) comparison for the 3 individual types of insulation (Al clad Calcium Silicate(CalSil)Alcladformedfiberglass(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 designedcalibrationartifactstraceabletoNIST designedcalibrationartifactstraceabletoNIST 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 Systemcoordinates using Total Station Survey System Acceptable tolerance limits at +/
Acceptable tolerance limits at +/-
-3mm and 3mm and below below Data ExtractionData Extraction Leica Cyclone


Leica Cyclone--MODEL v.6 MODEL v.6 Double Entry Method
Optira San Jose, CA
* Greg Conklin
  - Chief Operating Officer
  - gconklin@Optira.com
  - 408-615-0120 408 615 0120


Double Entry Method In In--house Data Entry Application house Data Entry Application Microsoft SQL Server 2005
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


Microsoft SQL Server 2005 Segment Centerline Endpoints Segment Centerline Endpoints WITH Insulation
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)


WITH Insulation WITHOUT Insulation
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


WITHOUT Insulation Typical One Line Drawing Typical One Line DrawingOne 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.
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)
Data ProcessingData Processing In In--house Data Transform Application house Data Transform Application Normalized Data for each Type [ 0, 1 ]
Comparison performed on approximately 3500 feet of SI piping 2200 Auxiliary Building (CalSil) 1100 Containment (RMI) 200 Essential Pipe Tunnel (FFG)
Normalized Data for each Type [ 0, 1 ]
Microsoft Excel Analysis Pack Add Microsoft Excel Analysis Pack Add--in in 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
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)


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
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))


Graphical model confirmation Regression Model plots "stacked"
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


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-
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
-01 01Least squared linear regression test demonstrated CalSil and FFG were excellent predictors of the un-insulated pipe's high point havingaccuracybetween9989and9999 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 ModelCalSilCalSilModel Model 1 1.2 0.06 0.07 0.08 0 0.2 0.4 0.6 0.800.050.10.150.20.25ExpectedS(B)0 0.01 0.02 0.03 0.04 0.0500.020.040.060.08Expected S QUESTIONS QUESTIONS}}
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}}

Latest revision as of 22:48, 13 November 2019

NEI Gas/Void Workshop - Palo Verde Nuclear Generating Station Optira - Unit 1 SL Pipe Insulation On/Off Study
ML100471151
Person / Time
Site: Palo Verde  Arizona Public Service icon.png
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 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