ML15119A327
| ML15119A327 | |
| Person / Time | |
|---|---|
| Site: | South Texas  |
| Issue date: | 04/29/2015 |
| From: | Harrison A South Texas |
| To: | Lisa Regner Plant Licensing Branch IV |
| References | |
| TAC MF2400, TAC MF2401 | |
| Download: ML15119A327 (181) | |
Text
1 NRR-PMDAPEm Resource From:
Harrison Albon [awharrison@STPEGS.COM]
Sent:
Wednesday, April 29, 2015 9:35 AM To:
Watford, Margaret; Regner, Lisa Cc:
Stang, John; Kee, Ernie; Blossom, Steven
Subject:
FW: Revised white paper for next week public meeting Attachments:
white paper.pdf Follow Up Flag:
Follow up Flag Status:
Flagged Maggie, Lisa, For talking points for our public call next week I am forwarding an updated RoverD description that includes additional detail on the debris generation and transport per our conversation in the previous public call. Note that we have not yet revised the LERF description. As Ernie says, it is quite large (173 pages), but by far the largest part of that is the computer files, so it is not as daunting as it looks. Changes are marked with change bars and we added line numbers (which wont be in the supplement version). I do not believe there is any sensitive or proprietary information in the attachment.
- Regards, Wayne Harrison STP Licensing (979) 292-6413
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4/29/2015 9:35:46 AM From:
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CEXMBX01.CORP.STPEGS.NET Files Size Date & Time MESSAGE 710 4/29/2015 9:35:46 AM white paper.pdf 3592136 Options Priority:
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Follow up
DRAFT talking points RoverD:
1 Use of Test Data in GSI-191 Risk Assessment 2
3 List of contributors and aliation Edition date, time - Wednesday 29th April, 2015, 07:45 Contributor(s)
Affiliation Contribution Steve Blossom STPNOC Project Manager, GSI-191 project Ernie Kee STPNOC Author & RoverD concept, STPNOC technical lead Alex Zolan and John Hasenbein the University of Texas at Austin LOCA frequency, strainer penetration review and anal-ysis Fatma Yilmaz STPNOC LOCA Frequency review Wayne Harrison and Drew Richards STPNOC Regulatory compliance review Rodolfo Vaghetto Texas A&M University RCS Thermal-Hydraulics Phil Grissom Southern Nuclear Co.
RoverD impact on Option 2b plants David Imbaratto Paci"c Gas & Electric RoverD impact on Option 2b plants Bruce Letellier and Jeremy Tejada Alion Science and Technology CASA Grande results for real size and location Dominic Munoz Alion Science and Technology CASA Debris Generation & Transport description Seyed Reihani University of Illinois at Urbana-Champaign Oversight review Vera Moisetytseva YK.risk, LLC Oversight Review
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment ii of 173 pages Contents 4
Contents ii 5
1 Introduction 1
6 2
RoverD risk quanti"cation summary 3
7 3
Reactor containment building debris generation and transport 4
8 4
LOCA frequencies 24 9
5 RCS Thermal-hydraulics 30 10 6
Core performance metrics 31 11 7
Application 32 12 8
Weld list 33 13 9
Acronyms 66 14 10 LDFG mass conservation solution implementation 67 15 11 Top-down LOCA frequency solution implementation 84 16 12 FIDOE sensitivity study, "xed "ltration 105 17 List of Figures 18 1
The two basic elements of RoverD are separating scenarios into risk-informed 19 or deterministic categories and then subsequently evaluating the risk.....
2 20 2
Flow paths through the containment and reactor vessel following the start 21 of ECCS recirculation showing where "ber mass (m) is conserved (ECCS 22 strainers, ECCS sump, and the reactor core) 4 23 3
Simpli"ed arrangement of the reactor system, ECCS and CSS with "ow di-24 rections shown during normal operation for the intact plant and "ows in the 25 emergency systems when demanded. The arrangement has been distorted 26 so the "ows and equipment can be seen. Shown as well are "ow paths from 27 hypothesized breaks out to the ECCS sump...................
5 28 4
Illustration of insulation discretization on piping. The discretization is de-29 "ned in input as shown in the input fragment in Table 1...........
8 30 Wednesday 29th April, 2015, 07:45 ii corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment iii of 173 pages 5
Schematic representation of the transport logic tree used to obtain the mass 31 of "ber "nes transported to the RCB sump...................
11 32 6
Flow network for the three STP ECCS and CSS trains showing the three 33 places debris is caught: the pool, the strainer, and the core during a CLB 34 scenario. Shown as well are the various "ow splits that take place between 35 the places debris is caught. The "ow split is de"ned by the amount of "ow 36 demanded by the core to remove decay heat.
14 37 7
Filtration eciency "ts as a function of mass compared to measured data 38 for the STP ECCS strainer modules. Eciency "ts obtained for the upper, 39 central, and lower limits of the measurements are compared to the measured 40 data.........................................
16 41 8
default.......................................
19 42 9
Comparison of bounding cases for core LDFG accumulation after start of 43 ECCS recirculation. The mass accumulation should be divided by 193 to 44 obtain gm/FA.
21 45 10 The top down approach assigns equally-weighted frequency in intervals be-46 tween pipe diameter extents. As Dsmall i
becomes larger, the total number of 47 welds in successive categories decreases.
24 48 11 Using linear interpolation or log-linear interpolation of NUREG 1829 data 49 (Tregoning et al., 2008) produce dierent inter-point interpolation behaviors 50 on dierent graph formats.
26 51 12 Process for establishing risk thresholds depending on whether an acceptable 52 test has been previously performed or if one should be designed to achieve 53 a speci"c risk goal.................................
33 54 List of Tables 55 1
Pipe Extract insulation data "le example. The data include three header 56 records and pipe work point data in columns: Inventor Ipart (.ipt Name),
57 work point ID (Point), Cartesian coordinates (X, Y, and Z), bend radii 58 (Rad), inner insulation shell diameter (ID), outer insulation shell diameter 59 (OD), and work point type (WP).
6 60 2
Summary of the ZOIs for "ber-producing insulation 10 61 3
Erosion modes and erosion percentages summary of smalls and large pieces 62 eroded to "nes...................................
13 63 4
Example of the "rst few "ows that would result from a decay heat load in a 64 40K MWd/MTU exposure assuming 3853 MW operation history. Note that 65 the time is not shifted to account for delay to start of recirculation following 66 LLOCA......................................
15 67 Wednesday 29th April, 2015, 07:45 iii corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment iv of 173 pages 5
Core mass accumulation for bounding cases of initial ECCS sump pool "ber 68 concentration Cp(t = 0) and upper and lower bounds of "lter eciency.
21 69 6
Sensitivity study of core "ber loading, Mc(t = 400min), using "xed "ltration 70 at three initial pool concentration (Cp(0)) levels: Normal = 0.17 gm gal, Low 71
= 0.11 gm gal, and High = 0.39gm gal (full block design)..............
23 72 7
NUREG-1829 (Tregoning et al., 2008, Table 7.19) for the mean, median, 5th 73 percentile, and 95th percentile exceedence frequency values for current-day 74 estimates STP PRA break sizes for small, medium and large LOCA are, less 75 than 2 in (small), 2 in to 6 in (medium), greater than 6 in (large).
26 76 8
Case 1 and Case 2 results for geometric (GM) and arithmetic (AM) aggre-77 gations of Tregoning et al. (2008, Tables 7.11 and 7.19) data. Frequencies 78 are in events/yr. Also shown are the results for a DEGB-only model for the 79 locations that go to failure.
29 80 9
LERF evaluation for geometric and arithmetic means of the Continuum 81 and DEG-only models...............................
30 82 10 Summary of boundary conditions and assumptions of the STP core blockage 83 analyses......................................
31 84 11 Results of blockage scenarios showing scenarios that had PCT less than 85 800°F (Pass) and those that exceeded 800°F (Fail)...............
31 86 12 Data for weld locations in the risk-informed category listing the ith weld 87 number, mass of "ber in the sump for the scenario (lbm), location name 88 (ID), Break size (Size), scenario frequency, fi (mean quantile, geometric 89 aggregation), Category, and NUREG 1829 data category...........
34 90 13 DEGB data (largest break size) for weld locations in the deterministic cate-91 gory showing listing the ith weld number, the margin to the mass of "ber in 92 the sump produced to the tested amount (lbm), location name, Break size 93 (Size), scenario DEGB frequency, fi (mean quantile, geometric aggregation),
94 and NUREG 1829 data category 35 95 14 Single train data for weld locations in the risk-informed category listing the 96 ith weld number, mass of "ber in the sump for the scenario (lbm), loca-97 tion name (ID), Break size (Size), scenario frequency, fi (mean quantile, 98 geometric aggregation), and NUREG 1829 data category...........
48 99 15 Single train DEGB data (largest break size) for weld locations in the de-100 terministic category showing listing the ith weld number, the margin to the 101 mass of "ber in the sump produced to the tested amount (lbm), location 102 name, Break size (Size), scenario DEGB frequency, fi (mean quantile, geo-103 metric aggregation), and NUREG 1829 data category 50 104 16 ECCS and CSS train "ow rates assumed for the low, normal, and high 105 sensitivities in FIDOE............................... 105 106 Wednesday 29th April, 2015, 07:45 iv corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment v of 173 pages Listings 107 1
Input fragment for de"ning piping insulation discretization 8
108 2
Source listing for (1c) solution, Alex Zolan, UT Austin, 02 March, 2015 68 109 3
Mass conservation solver, time-dependent inputs 79 110 4
Input listing for the mass conservation solver: constants for High Pool Con-111 centration, High Filtration Eciency......................
80 112 5
Input listing for the mass conservation solver: constants for High Pool Con-113 centration, Low Filtration Eciency......................
81 114 6
Input listing for the mass conservation solver: constants for Low Pool Con-115 centration, Low Filtration Eciency......................
82 116 7
Input listing for the mass conservation solver: constants for Low Pool Con-117 centration, Low Filtration Eciency......................
83 118 8
Source listing for (5) solution, Alex Zolan, UT Austin, 27 February, 2015..
84 119 9
Input listing for the Arithmetic Means quantiles. Taken from NUREG-1829, 120 Table 13......................................
87 121 10 Input listing for the Geometric Means quantiles. Taken from NUREG-1829, 122 Table 19......................................
88 123 11 Input listing for the welds in the scope of GSI-191 88 124 12 Input listing from the RoverD fetch stage for the welds in the scope of 125 GSI-191......................................
88 126 13 Source listing for (1c) solution, Alex Zolan, UT Austin, 02 March, 2015
.. 105 127 14 Low ECCS "ow, 0.4 "ltration.......................... 117 128 15 Low ECCS "ow, 0.5 "ltration.......................... 118 129 16 Low ECCS "ow, 0.6 "ltration.......................... 120 130 17 Low ECCS "ow, 0.7 "ltration.......................... 121 131 18 Normal ECCS "ow, 0.4 "ltration........................ 123 132 19 Normal ECCS "ow, 0.5 "ltration........................ 124 133 20 Normal ECCS "ow, 0.6 "ltration........................ 125 134 21 Low ECCS "ow, 0.7 "ltration.......................... 126 135 22 High ECCS "ow, 0.4 "ltration.......................... 128 136 23 High ECCS "ow, 0.5 "ltration.......................... 129 137 24 High ECCS "ow, 0.6 "ltration.......................... 131 138 25 High ECCS "ow, 0.7 "ltration.......................... 132 139 26 Low ECCS "ow, 0.4 "ltration.......................... 134 140 27 Low ECCS "ow, 0.5 "ltration.......................... 136 141 28 Low ECCS "ow, 0.6 "ltration.......................... 137 142 29 Low ECCS "ow, 0.7 "ltration.......................... 139 143 30 Normal ECCS "ow, 0.4 "ltration........................ 140 144 31 Normal ECCS "ow, 0.5 "ltration........................ 142 145 32 Normal ECCS "ow, 0.6 "ltration........................ 143 146 Wednesday 29th April, 2015, 07:45 v
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment vi of 173 pages 33 Normal ECCS "ow, 0.7 "ltration........................ 145 147 34 High ECCS "ow, 0.4 "ltration.......................... 146 148 35 High ECCS "ow, 0.5 "ltration.......................... 148 149 36 High ECCS "ow, 0.6 "ltration.......................... 149 150 37 High ECCS "ow, 0.7 "ltration.......................... 151 151 38 Low ECCS "ow, 0.4 "ltration.......................... 153 152 39 Low ECCS "ow, 0.5 "ltration.......................... 154 153 40 Low ECCS "ow, 0.6 "ltration.......................... 156 154 41 Low ECCS "ow, 0.7 "ltration.......................... 158 155 42 Normal ECCS "ow, 0.4 "ltration........................ 160 156 43 Normal ECCS "ow, 0.5 "ltration........................ 162 157 44 Normal ECCS "ow, 0.6 "ltration........................ 163 158 45 Normal ECCS "ow, 0.7 "ltration........................ 165 159 46 High ECCS "ow, 0.4 "ltration.......................... 167 160 47 High ECCS "ow, 0.5 "ltration.......................... 169 161 48 High ECCS "ow, 0.6 "ltration.......................... 170 162 49 High ECCS "ow, 0.7 "ltration.......................... 172 163 Wednesday 29th April, 2015, 07:45 vi corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 1 of 173 pages 1
Introduction 164 RoverD is a method that follows the guidance of NRC (2011) to assess the risk associated 165 with concerns raised in GSI-191. RoverD uses test data and NRC (2011) guidance to 166 evaluate the magnitude of LOCAs required to exceed a performance threshold that is 167 established by testing for eects again associated with concerns raised in GSI-191. The 168 performance threshold is set low, set to underestimate the true level where functionality 169 may be lost, so that risk for strainer failure is overestimated. Even when adopting a low 170 performance threshold, the risk is shown to be very small (NRC, 2011).
171 RoverD separates the risk estimate into two categories of scenarios designated as de-172 terministic and risk-informed as illustrated in Figure 1a. The deterministic scenarios are 173 those in which the LDFG "ber "nes estimated to arrive in the ECCS sump following LOCA 174 are equal to, or less than, the amount of "nes used in acceptable strainer testing. The limit 175 is set using testing methods intended to determine the maximum ECCS strainer head loss 176 for the tested condition. For example, single failure criteria are adopted in combination 177 with conditions known to overestimate head loss such as chemical quantities and morphol-178 ogy, strainer "ow rate, and particulate amounts that includes mechanical processing of 179 "ber. If the strainer performance test shows a LOCA scenario will not cause any strainer 180 performance requirements to be exceeded, then that scenario will not result in failure and 181 is categorized as deterministic as shown in Figure 1a.
182 The term acceptable testing refers to so-called deterministic tests performed under 183 circumstances that would not be realized in a design basis accident as mentioned above.
184 Such tests can be used to establish a bounding envelope of performance (low performance 185 threshold) for the realistic scenarios realized or hypothesized. Using test data that includes 186 unrealizable circumstances may result in scenarios that would fall outside the bounding 187 envelope de"ned by such test data. The risk for any such scenarios is required to meet a 188 very small threshold as shown in Figure 1b.
189 In the following, the various analyses required to complete a RoverD assessment are 190 summarized. The steps required to complete a RoverD analysis are summarized in Sec-191 tion 2. Section 3 summarizes the way RoverD "ber generation, transport, erosion, and 192 latent "ber quantity are established. Section 4 summarizes the LOCA frequency deter-193 mination for scenarios in the risk-informed category. The basic approach uses top-down 194 frequency partitioning. In-vessel analyses are described in Section 5 including blockage 195 analyses for HLB and CLB (scenario success criteria), fuel "ber limits, boric acid pre-196 cipitation. Core performance metrics must be met in addition to strainer performance.
197 Section 6 summarizes evaluation of core performance metrics.
198 Wednesday 29th April, 2015, 07:45 1
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 2 of 173 pages (a) RoverD separates those scenarios that go to success deterministically from those that are assumed to go to failure and require risk-informed analysis (b) Flow chart showing the RoverD evaluation process following categorization of scenarios to determine risk acceptability. In this depiction, the frequency, fi, of break at any location is determined by the diameter as determined in NUREG 1829.
Figure 1: The two basic elements of RoverD are separating scenarios into risk-informed or deterministic categories and then subsequently evaluating the risk.
Wednesday 29th April, 2015, 07:45 2
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 3 of 173 pages 2
RoverD risk quanti"cation summary 199 RoverD involves the following steps to assess the risk associated with the concerns raised 200 in GSI-191:
201
- 1. Perform a test that has some margin to failure following accepted protocols (see 202 AREVA, 2008) 203 Note the amount of "ne tested (in this case, 191.78 lbm) as well as the con"gura-204 tion (in this case, two ECCS trains). The plant con"guration is important to ensure 205 whether the test bounds other plant states. Fine "ber is used because it is the trans-206 portable form of the LDFG created in the break scenario 207 Note that the test results must be applied to strainer performance criteria to ensure 208 they are met using deterministic analysis requirements (e.g., vortexing, structural 209 margin, "ashing, etc.)
210
- 2. In-vessel performance criteria (core cooling, including "ber eects, boric acid precip-211 itation) must be met under the conditions tested 212
- 3. Run CASA Grande to itemize all break locations, break sizes, and amount of LDFG 213 "nes in the sump (including erosion and latent "ber) 214
- 4. Compare the amount of "ber "nes in each break scenario to the tested amount 215 (AREVA, 2008) 216 If the amount is equal to or less than the tested amount, categorize the scenario 217 deterministic.
218 If the amount exceeds (that is, over) the tested amount, categorize the scenario 219 risk-informed 220
- 5. Evaluate the risk contribution (including in-vessel) of scenarios in the risk-informed 221 category against the Regulatory Guide 1.174 quantitative criteria for {CDF,CDF},
222
{LERF,LERF}
223 Assign change in core damage frequency to the frequency from (5) 224 Check {CDF,CDF} against the quantitative requirement of Regulatory Guide 1.174, 225 Region III 226 Check {LERF,LERF} against the quantitative requirement of Regulatory Guide 1.174, 227 Region III 228 Verify other requirements (for example, safety margin, defense in depth) of Regula-229 tory Guide 1.174 are met 230
- 6. If all requirements are met for the risk-informed category, the performance is accept-231 able 232 Wednesday 29th April, 2015, 07:45 3
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 4 of 173 pages (a) Fiber "ow paths for a three train plant (trains A, B, and C) in containment af-ter ECCS recirculation show-ing "ow splits,, between total ECCS injection and ECCS (b) Fiber "ow paths through the reactor vessel following ECCS recirculation showing the additional "ow split () to the core and the break (c)
Conceptual illustration of three zones of destruction poten-tial within the ZOI showing how the debris distribution shifts to-wards larger sizes further from the break Figure 2: Flow paths through the containment and reactor vessel following the start of ECCS recirculation showing where "ber mass (m) is conserved (ECCS strainers, ECCS sump, and the reactor core) 3 Reactor containment building debris generation and 233 transport 234 NEI (2004) documented an acceptable methodology for determining the amount of debris 235 generated in a LOCA of any particular size by de"ning a ZOI. Within the ZOI, speci"c size 236 distributions of LDFG particles can be estimated using acceptable methods (Figure 2c).
237 The amount and type of each debris species transported to the ECCS sump is gov-238 erned by logic trees developed to estimate the amounts captured and sequestered, and 239 the amounts that would continue to transport (for example see NEI, 2004, ppg 3-45, 3-53).
240 RoverD uses a worst case set of assumptions in development of the STP debris transport 241 logic tree.
242 The "ow paths through the RCB with the water "owing out of the breach in the RCS as 243 well as with water from sources such as ECCS and CSS during the recirculation phase are 244 shown in Figures 2a and 2b. CASA Grande performs mass conservation of debris species 245 in the containment pool (Mp), on the ECCS strainers, (Ms) and in the reactor core, (Mc),
246 (Figure 6). Although dierent size particles are created from partially destroyed "berglass 247 insulation strands within the ZOI (Figure 2c), the smallest particles that transport readily 248 through the RCB are "nes. Larger and partially destroyed LDFG insulation either do not 249 transport or quickly sink in the ECCS sump and remain there. Over time, water "owing 250 through the RCB tends to erode some of the larger particles captured outside of the ECCS 251 sump into "ne particles. Besides LDFG either destroyed or eroded into "ne particles, "ne 252 Wednesday 29th April, 2015, 07:45 4
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 5 of 173 pages particles from tramp dust and dirt need to be taken into account.
253 A break size and location de"ne a scenario from which is derived the amount of LDFG 254 "nes that arrive in the ECCS sumps. The methodology for examining many thousands 255 of possible break sizes, orientations, truncation of ZOIs, transport of "nes, and erosion of 256 LDFG requires a computational framework implemented on a computer.
257 Figure 3: Simpli"ed arrangement of the reactor system, ECCS and CSS with "ow directions shown during normal operation for the intact plant and "ows in the emergency systems when demanded. The arrangement has been distorted so the "ows and equipment can be seen. Shown as well are "ow paths from hypothesized breaks out to the ECCS sump.
3.1 Computer implementation of debris generation & transport 258 As mentioned previously, generation, transport and erosion of LDFG "nes requires a com-259 putational framework implemented on a computer. Alion Science & Technology (2015) 260 has developed a generalized computer implementation inside of CASA Grande that uses a 261 STP plant-speci"c CAD model of the RCB. The methodology used to obtain the amount of 262 LDFG "nes generated and transported to the STP RCB recirculation pool for each postu-263 lated break is described in the following sections. This automated calculation of "berglass 264 debris is consistent with the steps used to calculate the amount of "ne "ber introduced to 265 the test "ume (AREVA, 2008).
266 Wednesday 29th April, 2015, 07:45 5
corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 6 of 173 pages The computational framework for calculating "brous debris generation inside of 267 CASA Grande can be summarized in three items:
268
- 1. Importing CAD geometry, 269
- 2. Line of sight grouping of voxels that can be seen by each weld location that are not 270 shadowed by concrete, and 271
- 3. Insulation debris generation for each weld location based on scenario speci"c break 272 size.
273 3.1.1 Import of CAD geometry 274 There are three types of geometry "les that are imported into a CASA Grande simulation 275 for use in the insulation debris generation routines:
276
- 1. pipe extract insulation data "les, 277
- 2. equipment insulation text "les, and 278
- 3. concrete STL "les.
279 These three types of geometry "les and descriptions of how they are imported and used 280 in the CASA Grande debris generation routines are described below.
281 Pipe extract insulation data Pipe data are extracted from the piping assembly in 282 the 3D containment CAD model using a proprietary AutoDesk Inventor add-in (created 283 by AutoDesk for Alion). The data include all information about piping and piping insula-284 tion needed to rebuild the piping insulation geometry numerically inside of CASA Grande.
285 Speci"cally, pipe extract insulation data includes pipe segment lengths, pipe names, pipe in-286 sulation types, Cartesian coordinates of extracted points on pipe centerlines (Work-Point),
287 bend radii of extracted Work-Points, inner and outer diameters of insulation shells, and 288 Work-Point types (i.e. valve, hangar, weld, etc.). An example of a pipe segment in a pipe 289 extract insulation input "le is Table 1.
290 Table 1: Pipe Extract insulation data "le example. The data include three header records and pipe work point data in columns: Inventor Ipart (.ipt Name), work point ID (Point), Cartesian coordinates (X, Y, and Z), bend radii (Rad), inner insulation shell diameter (ID), outer insulation shell diameter (OD), and work point type (WP).
extracted data 12-11-26 South Texas Plant.iam Number of Points = 26. Number of Straights = 9. Unit of Length = Inches.
.ipt Name Point X
Y Z
Rad ID OD WP 30MS-1002-GA2 [NUKON]:1 0
-137.14 369.14 1404.88 0
32.75 38.75 30MS-1002-GA2 [NUKON]:1 1
-137.14 369.14 1441.89 0
32.75 38.75 WELD 30MS-1002-GA2 [NUKON]:1 2
-137.14 369.14 1496.75 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 3
-193.84 367.73 1496.75 0
32.75 38.75 FW0060 continued next page...
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 7 of 173 pages
... continued extracted data 30MS-1002-GA2 [NUKON]:1 4
-301.05 365.07 1496.75 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 5
-301.05 365.07 1420.97 0
32.75 38.75 WELD1 30MS-1002-GA2 [NUKON]:1 6
-301.05 365.07 1271.75 0
32.75 38.75 FW0002 30MS-1002-GA2 [NUKON]:1 7
-301.05 365.07 1202.25 0
32.75 38.75 HL5016 30MS-1002-GA2 [NUKON]:1 8
-301.05 365.07 1173.99 0
32.75 38.75 HL5015 30MS-1002-GA2 [NUKON]:1 9
-301.05 365.07 1148.88 0
32.75 38.75 HL5009 30MS-1002-GA2 [NUKON]:1 10
-301.05 365.07 1047 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 11
-343.48 407.5 1047 0
32.75 38.75 HL5008 30MS-1002-GA2 [NUKON]:1 12
-386.54 450.55 1047 0
32.75 38.75 WELD2 30MS-1002-GA2 [NUKON]:1 13
-417.99 482.01 1047 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 14
-461.28 438.72 1047 0
32.75 38.75 WELD3 30MS-1002-GA2 [NUKON]:1 15
-489.05 410.95 1047 0
32.75 38.75 HL5006 30MS-1002-GA2 [NUKON]:1 16
-613.41 286.59 1047 0
32.75 38.75 FW0004 30MS-1002-GA2 [NUKON]:1 17
-660 240 1047 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 18
-660 120 1047 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 19
-660 120 986.02 0
32.75 38.75 HL5001 30MS-1002-GA2 [NUKON]:1 20
-660 120 964.3 0
32.75 38.75 HL5002 30MS-1002-GA2 [NUKON]:1 21
-660 120 801 49.12 32.75 38.75 30MS-1002-GA2 [NUKON]:1 22
-721.12 120 801 0
32.75 38.75 FW005A 30MS-1002-GA2 [NUKON]:1 23
-834.94 120 801 0
32.75 38.75 FW0006 30MS-1002-GA2 [NUKON]:1 24
-849.94 120 801 0
32.75 38.75 30MS-1002-GA2 [NUKON]:1 25
-957.94 120 801 0
32.75 38.75 Point to Point Length: 1748.53 The data from each pipe segment in the Pipe Extract insulation "le are read into 291 CASA Grande and used to create a numerical reconstruction of the piping insulation with 292 volume elements called voxels; where each voxels volume is modeled to reside at its center 293 point. The user can specify the numerical resolution of the piping insulation reconstruction 294 (with voxels) in the CASA Grande simulation by de"ning linear resolution and number of 295 azimuthal bins in the simulation input deck (Listing 1).
296 Wednesday 29th April, 2015, 07:45 7
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 8 of 173 pages Figure 4: Illustration of insulation discretization on piping. The discretization is de"ned in input as shown in the input fragment in Table 1 Listing 1: Input fragment for de"ning piping insulation discretization 297 298 Spatial Resolution for Discretizing Insulation 299 300
% (must repeat weld target sort if these are changed) 301
% (delete all master "les and rerun with new delL and Nangbin) 302 303
% Linear Resolution (inches) 304 6
305 306
% Azimuthal Bins in 2 Pi Radians on Pipes 307 12 308 309 310
\\% -------------------------------------------------------------------------------
311 An example of how the piping discretization works for a straight pipe is illustrated in 312 Figure 4. The illustration shows how the insulation is discretized on the pipe. Also shown 313 is the way the ZOI interacts with the voxels de"ned by azimuthal and linear parameters.
314 Wednesday 29th April, 2015, 07:45 8
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 9 of 173 pages The pipe actually appears transparent in the ZOI (spherical or hemispherical) and if the 315 center-point of the voxel is within the ZOI the entire insulation volume within the voxel is 316 assumed destroyed.
317 Equipment extract data Equipment insulation voxels are de"ned dierently than the 318 piping because equipment shapes may be fairly arbitrary as compared to pipes. Therefore, 319 equipment voxels are de"ned in "les with X, Y, Z coordinates de"ning the center of a voxel 320 having volume, V and insulation type (as appropriate).
321 The simplicity of the equipment insulation de"nition "les allow them to be created text 322 "le or spreadsheet. The STP equipment de"nitions were created from high-resolution STL 323 exports of equipment insulation from the CAD software. The STL "les were pre-processed 324 to supply the necessary Cartesian coordinate data.
325 Concrete STL "le The concrete input "le is a STL data "le containing all CAD-de"ned 326 plant concrete structure geometry and is used to represent robust barriers (insulation shield-327 ing) in the insulation destruction computations. The STL data "le is interpreted as a col-328 lection of surface triangle faces (facets) and respective unit surface normal direction vectors 329 in three-space such that the line-of-sight can be de"ned from the ZOI point of origin. The 330 CAD generated STL "les resolve detailed features such as door casings and cylindrical pipe 331 penetrations. All surfaces de"ned as robust barriers in the concrete input "le are used to 332 truncate ZOIs centered on weld locations. Insulation shielding by large equipment such as 333 the steam generators and RCPs is not credited in the STP CASA Grande debris generation 334 calculation.
335 3.1.2 Line of sight calculations 336 Before debris generation is calculated for varying break sizes at each weld location, a line 337 of sight grouping of insulation not shadowed by concrete is performed. These computations 338 analyze each weld location and save the insulation voxels that are not shadowed by concrete 339 along with their associated spatial location and volume information in a voxel packet 340 speci"c to each weld. This step organizes visible (non-shadowed) voxels into weld speci"c 341 voxel packets that make ZOI calculations of destroyed insulation faster during simulations 342 over all weld locations in containment 343 3.1.3 Weld location based debris generation 344 After CAD geometry is imported and line of sight voxel computations are performed, weld 345 location-based insulation debris generation can be calculated for scenario speci"c break 346 sizes. Each scenario speci"c break is numerically represented by either a spherical ZOI for 347 double-ended guillotine breaks (DEGB) or by a hemispherical ZOI for partial breaks. For 348 both spherical and hemispherical breaks, the individual voxel center point locations from 349 Wednesday 29th April, 2015, 07:45 9
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 10 of 173 pages the voxel packet (Section 3.1.2) for the scenario-speci"c weld location are compared to the 350 spherical or hemispherical ZOI centered on the current weld location for interference. Any 351 insulation voxel with a centerpoint voxel from the weld speci"c voxel packet that is inside 352 the ZOI is counted as destroyed, and all destroyed voxels are summed for each insulation 353 debris type to yield total insulation generation for the analyzed break scenario. User-de"ned 354 ZOI sizes for each insulation type are properly applied during the debris generation process.
355 3.2 Fine "ber debris sources 356 There are four sources of "ne "ber debris that must be considered for each break scenario 357 modeled for STP: Nukon, Thermal-Wrap, Microtherm (Alion Science & Technology, 358 2014b) and latent "ber (Alion Science & Technology, 2008). Note that the "xed amount 359 of latent "ber speci"ed as input for the plant is applied to every break scenario and that 360 Nukon, Thermal-Wrap and Microtherm generation is scenario speci"c. The ZOI sizes 361 and insulation debris size distributions used for the CASA Grande computations of each 362 modeled "ber type at STP are described in this section.
363 Insulation speci"c ZOIs Each of the three insulation types, mentioned in Section 3.2 364 analyzed for "ber "ne destruction in the STP RoverD methodology, have individually 365 de"ned ZOIs based on jet testing. The maximum ZOIs used for each of the STP "ber-366 producing insulation types are summarized below in Table 2 and are based on the standard 367 deterministic approach promulgated by NEI (2004, Volume 1 and 2).
368 Table 2: Summary of the ZOIs for "ber-producing insulation Insulation Type ZOI
radius breakdiameter
Reference Nukon 17.0 (NEI, 2004)
Thermal-Wrap 17.0 (NEI, 2004)
Microtherm 28.6 (NEI, 2004)
In the way previously illustrated in Figure 2c, the ZOIs for Nukon and Thermal-369 Wrap insulation are shells with dierent percentages of debris sizes created within each 370 shell. Along with "ber "nes produced, debris sizes are calculated from each shell for small 371 pieces, large pieces, and intact blankets (Alion Science & Technology, 2009). The propri-372 etary ZOI size distributions of LDFG (percent each of small pieces, large pieces, and intact 373 blankets) destroyed by a postulated ZOI are consistent with the NRC (2008) report.
374 Fibrous latent debris sources The bounding latent debris mass of 200 lbm as sug-375 gested by NEI (2004, Volume 1), was used as the latent debris source for the STP evaluation.
376 "fteen percent (30 lbm) of the 200 lbm latent debris was introduced as "ber "nes based 377 Wednesday 29th April, 2015, 07:45 10 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 11 of 173 pages on the safety evaluation report promulgated by NEI (2004, Volume 2) (15% "ber and 85%
378 particulate by mass).
379 Destroyed volume mass All destroyed insulation volume was converted to mass using 380 the manufactured densities :
381
- Nukon 2.4 lbm ft3 (NEI, 2004, Volume 1) 382
- Thermal-Wrap 2.4 lbm ft3 (NEI, 2004, Volume 1) 383
- Microtherm 15 lbm ft3 (Alion Science & Technology, 2014b) 384 Figure 5: Schematic representation of the transport logic tree used to obtain the mass of "ber "nes transported to the RCB sump.
3.2.1 Fiber "nes debris transport 385 Once the amounts and distributions of "ber types are known, a transport logic tree, Fig-386 ure 5, is used to arrive at the amount of "ber distributed to various areas of the RCB. Only 387 "ber "nes generated from the break are analyzed this way, the other two sources of "ber 388 "nes, latent "ber and eroded "ber, are transported directly to the sump. The transport 389 fractions are representative of a break in the Steam Generator compartment, which bound 390 transport fractions that would represent other possible break locations in the RCB.
391 Wednesday 29th April, 2015, 07:45 11 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 12 of 173 pages Fiber "nes from the ZOI The majority of "ber "nes (98.5%) destroyed from insula-392 tion in the ZOI are transported to the containment pool. The other 1.5% of debris not 393 transported to the RCB sump is trapped in inactive cavities during pool "ll. The transport 394 modes and their contributing fractions to the RCB sump for ZOI-generated "ber "nes are 395 described below.
396 Blowdown Fiber "nes were initially calculated to be blown to upper and lower con-397 tainment at 30% and 70%, respectively (Alion Science & Technology, 2014a). The 398 percentages blown to upper and lower containment were calculated as volume frac-399 tions taken as ratios of the open containment volume in upper containment and 400 lower containment compared to the total open containment volume. This proportion 401 of "brous "nes transport was assumed (Alion Science & Technology, 2014a) to be 402 reasonable because "ne debris generated by the LOCA jet would be easily entrained 403 and carried with blow down "ow.
404 Wash Down All (100%) of the "ber "nes blown to upper containment is washed down 405 and homogenized in the containment pool. Note that wash down fractions from upper 406 containment were split between the Inside Secondary Shield Wall and Annulus 407 compartments; because both of these compartments are at the pool level, and because 408 "ne debris was assumed homogenized, these fraction are inconsequential except for 409 their combined total which is 100%.
410 Pool Fill 5% of the "ber "nes transported to lower containment during blow down is 411 trapped in inactive cavities. This pool "ll transport fraction of 5% is less than the 412 NEI (2004) SER suggested maximum inactive cavity pool "ll transport fraction of 413 15%. Although 6% of the debris blown to lower containment was calculated to arrive 414 on strainers early as a function of initial sheeting "ow, this only aects debris arrival 415 timing in a full CASA Grande calculation and does not aect the total fraction that 416 can reach the strainers. The RoverD methodology depends only on the amount of 417 "ne "ber introduced to the containment pool.
418 Recirculation All "brous "nes were assigned a conservative recirculation transport frac-419 tion of 100%. CFD calculations were not used to predict the amount of "nes that may 420 settle on the pool "oor. One hundred percent transportability preserves the match 421 between "ne "ber introduced to the containment pool for each analyzed break sce-422 nario and the amount of "ne "ber introduced by AREVA (2008) in the "ume test.
423 Credit for realistic settling is an inherent part of the test conditions.
424 Eroded "nes Three types of erosion were considered for small and large pieces of "brous 425 debris held up on containment structures:
426
- 1. CSS spray "ow 427 Wednesday 29th April, 2015, 07:45 12 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 13 of 173 pages
- 2. Break "ow 428
- 3. Pool recirculation (Alion Science & Technology, 2014a) 429 The percentage of small and large "brous insulation pieces eroded into "nes as a result 430 of CSS "ow is assigned the maximum value of 1% as found by Rao et al. (1998). The 431 percentage of small and large pieces eroded into "nes by break "ow is negligible in the 432 STP RCB since debris is blown away from the break location. Based on Alion Science 433
& Technology (2011) testing that shows a maximum of 7% of small and large "brous 434 insulation pieces erode to "ber "nes in 30 days of testing "brous erosion by recirculation 435 "ow, 7% are eroded to "nes. Total fractions of small and large "brous debris held up on 436 containment structures, their corresponding erosion fractions and resulting total "ber "nes 437 transport fractions homogenized in the containment pool have been provided in Table 3.
438 Table 3: Erosion modes and erosion percentages summary of smalls and large pieces eroded to "nes.
Insulation Size Erosion Mode Held Up Fraction Erosion Fraction Total Fines from Pieces Small Pieces Spray 36.5%
1.0%
0.4%
Recirculation 23.8%
7.0%
1.7%
Large Pieces Sprayed 100.0%
1.0%
1.0%
Recirculation 0.0%
7.0%
0.0%
3.3 Fiber collection in the ECCS 439 A "ow network that approximates the transport and capture of debris in containment in 440 a CLB is shown in Figure 6. The primitive data for this system are: (1) time-dependent 441 "ows Qs(*) and Qc(*), (2) scalars Vp, Mp(0), and. The "ows are time-dependent due 442 to the in"uence of Qc on. Qc as a function of time is obtained from a table and is 443 governed by the decay heat level. Table 4 lists the "rst few entries in the table. Given 444 these model primitives, an analysis of the time-dependent accumulation of debris on the 445 strainer, core, and in the pool can be performed. These functions are governed by a set of 446 non-linear dierential equations. The non-linearity arises due to the "ltration function, as 447 shall become apparent in the following.
448 3.4 Mass conservation 449 The transportable debris from the hypothesized LOCA moves down into the containment 450 emergency sump forming a pool of water (Figure 3). The initial concentration of debris in 451 the containment emergency sump water pool is Cp(0) = Mp(0)
Vp. At the start of the ECCS 452 recirculation phase, we assume all the transportable debris is in the pool. Hence, there is 453 none on the strainer or the core (Ms(0) = 0 and Mc(0) = 0). The rate of accumulation of 454 the debris on the strainer and the core is almost entirely governed by the amount by the 455 Wednesday 29th April, 2015, 07:45 13 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 14 of 173 pages Figure 6: Flow network for the three STP ECCS and CSS trains showing the three places debris is caught:
the pool, the strainer, and the core during a CLB scenario. Shown as well are the various "ow splits that take place between the places debris is caught. The "ow split is de"ned by the amount of "ow demanded by the core to remove decay heat.
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 15 of 173 pages Table 4: Example of the "rst few "ows that would result from a decay heat load in a 40K MWd/MTU exposure assuming 3853 MW operation history. Note that the time is not shifted to account for delay to start of recirculation following LLOCA Hour Flow Hour Flow (gpm)
(gpm) 0 2141.1 0.0125 1467.4 0.0025 2141.1 0.015 1401.1 0.005 1964.3 0.0175 1352.5 0.0075 1718.6 0.02 1314.1 0.01 1564.8 0.0225 1281.8 amount of "ber that penetrates the strainer and is subsequently transported to the core as 456 a result of the core "ow rate. The governing conservation equations are:
457 d
dtMk s (t) =Qk s(t)Cp(t)f(Mk s (t)),
(1a) d dtMc(t) =Qc(t)Cp(t)
k
1 f(Mk s (t))
1 k
Qk s(t)
k [(1 k)Qks(t)]
(1b) 0 = d dtMp(t) + d dt
k Mk s (t) + d dtMc(t),
(1c) where k is the strainer index. Wherever k appears the index is taken over all the values in 458
{A, B, C}, i.e., the three strainers. The initial conditions and boundary conditions are:
459
- 1. f(Ms) is a fraction between 0 and 1 Figure 7, dependent on the amount of mass on 460 the strainer (Ogden et al., 2013, Figure 13)1, 461
- 2. Qs(*) should be treated generally as a function of time to model pumps turning on 462 and o(discrete tabular function),
463
- 3. Qc(*) is a known function of time (discrete tabular function based on decay heat 464 demand),
465
- 4. Vp is a given constant value for any particular scenario, 466 1Ogden et al. (2013) used test data from measurements performed on one of the 20 strainer modules in each STP ECCS train. As a consequence, the data must be scaled to the full strainer area (scaled by a factor of 20) when applied to the full plant.
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 16 of 173 pages
- 5. The initial mass on the core is Mc(0) = 0, 467
- 6. The initial mass in the pool, Mp(0), is given, 468
- 7. And Cp(t) = Mp(t)/Vp.
469 Figure 7: Filtration eciency "ts as a function of mass compared to measured data for the STP ECCS strainer modules. Eciency "ts obtained for the upper, central, and lower limits of the measurements are compared to the measured data.
3.5 Implementation 470 FIDOE is a Python script developed at the University of Texas at Austin under STP grant 471 BO4425 and is implemented on OS X for production. Apple distributes OS X (Release 472 10.10) with Python; however, Python was updated to a later version (Version 3.4.2) to 473 run FIDOE. The open-source PANDAS library (http://pandas.pydata.org/) is used in the 474 FIDOE implementation.
475 The mass conservation equations and implementation in Python are described in ML15091A440 476 (Powell, 2015, Attachment 7) and again in this document (Section 3.4).
477 Validation of the conservation equations took place over about a two month period 478 during which time period some changes were made to the original proposed formulation.
479 Validation and veri"cation of the software was performed by the University of Texas at 480 Austin and STP. Veri"cation and validation was independently performed by STP GSI-191 481 Oversight personnel. YK.risk, LLC also performed validation.
482 Wednesday 29th April, 2015, 07:45 16 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 17 of 173 pages FIDOE is densely commented and the source code is self-explanatory. In this section, 483 the elements of the Python module are described in more detail.
484 3.5.1 Input/Output Format 485 The inputs are in the form of two "at "les, which are read via the function ReadParams, 486 using Pythons pandas library (http://pandas.pydata.org/). The "rst "at "le is indexed 487 on time and takes on the following form as an example:
488 489 t,Q_s_a,Q_s_b,Q_s_c,Q_c 490 0,9600,9600,9600,2000 491 5,0,9600,9600,1500 492 493 494 The header t represents the time index for any time series of inputs (in minutes), while 495 the headers Q_s_a, Q_s_b, Q_s_c, and Q_c represent the "ow rates through the three 496 strainers and the core, respectively. It is assumed that the "ow rates in gallons per minute 497 (gpm) through the strainers are known as an explicit function of time. These "ow rates 498 include the ECCS and CSS "ows through each strainer. In the example above, the "ow rate 499 through the "rst strainer (A) would be 9600 gpm over the "rst 5 minutes, and 0 thereafter.
500 The second "at "le consists of inputs that are constant over time and takes on the 501 following form as an example:
502 503 Initial Mass:
504 M_p_0,87000 505 M_s_a_0,0 506 M_s_a_0,0 507 M_s_c_0,0 508 M_c_0,0 509 510 511 This describes the initial mass (in grams) of debris in the pool, the three trains, and 512 on the core, respectively, at the start of the simulation. Additional inputs speci"ed in this 513 input "le include the pool volume, strainer recirculation rates, the function type used to 514 describe the relationship between debris on a strainer and the "ltration fraction of that 515 strainer, and parameters associated with that function type.
516 The output consists of a single time series "at "le and a plot of debris on the strainers 517 and the core over time, up to a given threshold. The output "at "le takes on the following 518 form:
519 520 Wednesday 29th April, 2015, 07:45 17 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 18 of 173 pages t,M_s_a,M_s_b,M_s_c,M_c 521 0,9600,9600,9600,2000 522 5,0,9600,9600,1500 523 524 525 3.5.2 Class MassCalculator 526 The FIDOE module contains a single class, MassCalculator. The following tasks are com-527 pleted in MassCalculator on initialization, with parameters as given by the function Read-528 Params as input:
529
- Read or set default pool volume (gallons) and initial mass in pool (grams) 530
- Read or set default initial mass on strainers 531
- Read or set default initial mass on core 532
- Read or set default gamma, the percentage of water "owing back to the strainers 533
- Read or set default strainer "ow rates, in gpm 534
- Read or set default core "ow rate, in gpm 535
- Read or set default "ltration rate for any strainer (as a function of mass on the 536 strainer) 537
- Alert the user of any default values that are used, due to a lack of speci"ed inputs 538 Within this class, there are several accessors 539 3.5.3 Strainer and core "ow rate retrieval 540 Strainer "ow rates are obtained from three functions, getFlowRateStrainerA, getFlowRat-541 eStrainerB, and getFlowRateStrainerC. The core "ow rate is obtained using the procedure 542 getFlowRateCore. All four procedures take the time period as a single input, and return 543 the "ow rate out of the three ECCS strainers, in gallons per minute. Time-dependent "ows 544 are used as read from values stored in the class at initialization.
545 3.5.4 Filtration Function by Strainer 546 The function getFiltrationRate receives a single input, the mass on the strainer, and 547 returns the fraction of debris that will attach to the strainer (rather than pass through) 548 given that mass. We assume that this "ltration rate includes any potential losses due to 549 shedding, as that is embedded in the equations calculated by Ogden et al. (2013). The 550 Wednesday 29th April, 2015, 07:45 18 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 19 of 173 pages "ltration function given in (Ogden et al., 2013) is a function of the mass on a strainer 551 module, and there are 20 modules on each strainer, so we divide the mass input by 20 to 552 arrive at the "ltration function.
553 Figure 8: default Rates of changes of debris by location The functions getDeltaMassStrainerA, get-554 DeltaMassStrainerA, and getDeltaMassStrainerC take the time (in minutes) and an input 555 vector of the masses in the strainers, core and containment pool as inputs, and returns the 556 rate of advection through strainers A, B, and C, respectively, using (1a). The function 557 getDeltaMassCore takes the same set of inputs and returns the rate of advection through 558 the core, as described in (1b); this calls on the function getNetPassThroughRate, which 559 calculates the sum of A, B, and C at the bottom of Figure 8. Finally, the function get-560 DeltaMassPool takes the same set of inputs and returns the rate of change of debris in the 561 pool, as given in (1c). These functions are aggregated through the function getAllDeltas.
562 ODE Solver The function SolveForCoreMass takes the time period as an input, and 563 numerically solves the system of functions as given in getAllDeltas by calling the LSODA 564 solver, which is the default solver in Python and part of the ODEPACK suite of dierential 565 equation solvers Hindmarsh (1983).
566 Wednesday 29th April, 2015, 07:45 19 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 20 of 173 pages 3.5.5 Interface 567 After calling the module through a Python interpreter, the following procedure takes place:
568
- The user is prompted to enter the name or "lepath of the time-indexed and constant 569 inputs "le, the maximum timespan to solve (in minutes), and the desired name of 570 the results output.
571
- The input "les are read via the function ReadParams.
572
- The class MassCalculator is initialized. Any missing inputs to the class are noted in 573 the console output as are the default values used in their place.
574
- For 1000 points between zero minutes and the timespan given as input, the system 575 of ODEs given in SolveForCoreMass.
576
- Plots of mass on each strainer and on the core are created, and a table of these values 577 are saved under the "lename given as input.
578 3.6 Results 579 (1a) to (1c) were integrated in an application that uses well-known ordinary dierential 580 equation solvers2 implemented in a Python application to obtain Mc(t) (Listing 13). The 581 application is designed to provide solutions for dierent initial conditions and boundary 582 conditions supplied in simple text "les. The application is fully described in Section 10 583 with code listing and input "les.
584 The amount of "ber bypassed to the core is primarily dependent on the initial sump 585 pool concentration, Cp(t = 0), the "ltration eciency, f(*), and the decay heat demand, 586 Qc(t) which is a "xed function of time. The pool concentration is de"ned by the amount of 587 LDFG arriving in the ECCS sump pool for each Dsmall i
and the pool volume. The "ltration 588 eciency is based on data with uncertainty (Figure 7).
589 Uncertainty associated with the variables, Cp(t = 0) and f(*) is evaluated by looking 590 at lower and upper bound values for the variables. The threshold amount of LDFG "nes 591 in all the risk-informed scenarios (Table 12)is approximately 192 lbm (the amount tested).
592 Assuming the total amount of LDFG transported to the sump is double the amount of 593 "nes, an upper bound for "ber mass in the pool for risk-informed scenarios would be about 594 550 lbm (note that smalls dont fully transport to the strainer). A reasonable upper pool 595 volume limit is approximately 550,000 gal and reasonable lower limit is approximately 596 300,000 gal.
597 2lsoda from the class, scipy.integrate.ode, is implemented. From the scipy.integrate.ode documenta-tion: Real-valued Variable-coecient Ordinary Dierential Equation solver, with "xed-leading-coecient implementation. It provides automatic method switching between implicit Adams method (for non-sti problems) and a method based on backward dierentiation formulas (BDF) (for stiproblems).
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 21 of 173 pages Table 5: Core mass accumulation for bounding cases of initial ECCS sump pool "ber concentration Cp(t =
- 0) and upper and lower bounds of "lter eciency.
Cp(t = 0) gm/GAL lower:f(Mk s (t = 150 min.))
upper:f(Mk s (t = 150 min.))
High (0.832) 441 247 Low (0.158) 400 241 Figure 9: Comparison of bounding cases for core LDFG accumulation after start of ECCS recirculation.
The mass accumulation should be divided by 193 to obtain gm/FA.
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 22 of 173 pages 3.7 Sensitivity studies for "xed penetration fraction 598 Previous investigators have used, or are familiar with, a so-called "xed "ltration constant 599 to estimate core "ber loading (Andreychek and McNamee, 2014, for example) and (for ex-600 ample ACRS, 2015, discussions on pages 209 and 210). To relate results of a "xed "ltration 601 constant approach to a "t of the measured data to the accumulated mass (as explained in 602 Section 3.4) a version of FIDOE was created to investigate "xed "ber penetration values.
603 The updated version of FIDOE uses (1) for mass conservation but f() is a constant value 604 set by the user in input. The updated version of FIDOE is provided in ?? along with input 605 and output "les.
606 Four levels of "xed "ltration, 0.4, 0.5 0.6, and 0.7 were applied at three levels of to-607 tal strainer "ow (5063 gpm, 6750 gpm, and 8438 gpm), and three levels of starting pool 608 "ber concentration (0.11 gm/gal, 0.17 gm/gal, and 0.39 gm/gal). Note that the minimum 609 measured "ltration for STP ECCS strainers as shown in Figure 7 is roughly 0.65. Results 610 of the "xed "ltration study are summarized in Table 6. Although the accumulation under 611 this assumption ("xed "ltration) will clearly be more than for the measured behavior, the 612 sensitivities help con"rm that the accumulated "ber on the core with 192 lbm in the sump 613 will be less than 15 gm/FA.
614 Wednesday 29th April, 2015, 07:45 22 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 23 of 173 pages Table 6: Sensitivity study of core "ber loading, Mc(t = 400min), using "xed "ltration at three initial pool concentration (Cp(0)) levels: Normal = 0.17 gm gal, Low = 0.11 gm gal, and High = 0.39 gm gal (full block design)
Normal Concentration Mc (gm/FA) at strainer "ow of:
Filtration 6750 gpm 8438 gpm 5063 gpm 0.4 18.1 28.3 15.0 0.5 13.0 16.0 10.4 0.6 8.8 10.9 7.3 0.7 5.7 7.3 4.7 Low Concentration Mc (gm/FA) at strainer "ow of:
Filtration 6750 gpm 8438 gpm 5063 gpm 0.4 13.5 16.8 11.4 0.5 9.8 11.9 7.8 0.6 6.7 8.3 5.4 0.7 4.4 6.03 3.6 High Concentration Mc (gm/FA) at strainer "ow of:
Filtration 6750 gpm 8438 gpm 5063 gpm 0.4 25.9 31.6 20.7 0.5 17.6 22.8 14.0 0.6 11.9 15.5 9.8 0.7 7.8 10.4 6.5 Wednesday 29th April, 2015, 07:45 23 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 24 of 173 pages 4
LOCA frequencies 615 In general, the ECCS strainer may operate under several dierent plant states. Most of the 616 plant states tested will be congruent with deterministic assumptions on train availability 617 (plant states). In the risk-informed category of RoverD, scenarios associated with plant 618 states not tested would be relegated to failure, or could be assessed for risk based on their 619 risk contribution in a way similar to the states tested. Because dierent plant states may 620 need to be evaluated, depending on details associated with the test used in the RoverD 621 assessment, an additional step may need to be taken to account for plant states not tested.
622 Figure 10: The top down approach assigns equally-weighted frequency in intervals between pipe diameter extents. As Dsmall i
becomes larger, the total number of welds in successive categories decreases.
4.1 CDF frequency determination 623 A fundamental goal of the RoverD approach is to determine the total frequency of breaks 624 that fall into the risk-informed category. In a preprocessing step known as RoverDs fetch 625 stage, CASA Grande runs are performed to identify all weld locations, with corresponding 626 break sizes, which produce more than the allowable amount of "ber "nes.
627 With fetch completed, RoverD has data that can be thought of as ordered pairs 628 consisting of a weld index and a break size. For now, assume that I weld locations are 629 Wednesday 29th April, 2015, 07:45 24 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 25 of 173 pages in the risk-informed category and these locations are indexed by i = 1,..., I. Each weld 630 location i then has a corresponding break size Dsmall i
which caused it to be placed in the 631 risk-informed category. It is possible that for a single weld, multiple break scenarios caused 632 it to be put in this category. If so, de"ne Dsmall i
to be the smallest such break size.
633 Now, recall that the goal is to determine the overall frequency of events that generate 634 too many "ber "nes. Two primary principles are adhered to in order to obtain the top-down 635 frequency:
636
- 1. In the limiting case for which every weld and every break above x is considered bad 637 (that is, at that break size, more "nes come to the sump than were tested), should 638 equal to f(x), the NUREG 1829 exceedence frequency at x, 639
- 2. In the top-down method, RoverD should depend on the number of welds in the 640 RoverD fetch "le, for any ("xed) plant. In particular, should increase if welds are 641 added to the set of bad welds.
642 For each weld i in the risk-informed category the goal is to determine the frequency of breaks that exceed Dsmall i
. This is called F(Dsmall i
) and is the frequency of unacceptable events caused by that particular weld. Then, the overall frequency of unacceptable events caused by breaks in the risk-informed category is simply the sum of these frequencies:
=
I
i=1 F(Dsmall i
).
In general, as shown in Figure 10, interpolation is required to obtain frequencies at break 643 sizes, Dsmall, and pipe diameters other than the data in Table 7. Because the Tregoning 644 et al. frequency data fall o so quickly as break size increases, two methods are reviewed, 645 linear-linear and log-linear (Figure 11).
646 The log-linear method interpolates for the frequency at break size x in the interval a 647 and b with the log of the frequencies, a and b which appears to be a more natural "t in 648 a log-linear presentation (Figure 11a):
649 x = 10log10a+(log10blog10a) xa ba.
(2)
The linear-linear method is interpolates frequency (x) linearly at x (break size) val-650 ues. Of course, it appears to be a natural "t between data in a linear-linear presentation 651 (Figure 11b):
652 x = a + (b a)(x a)
(b a).
(3)
To explain the calculations, we "rst focus on a particular weld from Figure 10. In 653 particular, we examine Weld 5 in a pipe of category 1, which is denoted by D1. To determine 654 F(Dsmall 5
), the goal is to be consistent with NUREG-1829. Any particular quantile value in 655 Wednesday 29th April, 2015, 07:45 25 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 26 of 173 pages (a) Example data at the upper NUREG 1829 break sizes shown in a linear plot format (linear-linear interpolation data form a straight line be-tween data points)
(b) Example data at the upper NUREG 1829 break sizes shown in a log-linear plot format (log-linear interpolation data form a straight line be-tween data points)
Figure 11: Using linear interpolation or log-linear interpolation of NUREG 1829 data (Tregoning et al.,
2008) produce dierent inter-point interpolation behaviors on dierent graph formats.
Table 7: NUREG-1829 (Tregoning et al., 2008, Table 7.19) for the mean, median, 5th percentile, and 95th percentile exceedence frequency values for current-day estimates STP PRA break sizes for small, medium and large LOCA are, less than 2 in (small), 2 in to 6 in (medium), greater than 6 in (large).
NUREG-1829 Values Category Break Size (in) 5th Median Mean 95th cat1 1
2 6.80E-05 6.30E-04 1.90E-03 7.10E-03 cat2 15 8
5.00E-06 8.90E-05 4.20E-04 1.60E-03 cat3 3
2.14E-07 3.4E-06 1.6E-05 6.1E-05 cat4 7
1.4E-08 3.1E-07 1.6E-06 6.1E-06 cat5 14 4.1E-10 1.2E-08 2.0E-07 5.8E-07 cat6 31 3.5E-11 1.19E-09 2.9E-08 8.00E-08 Wednesday 29th April, 2015, 07:45 26 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 27 of 173 pages Table 7 may be used as the basis. For example, the PRA LOCA initiating event frequencies 656 are based on the mean value. Let f(Dsmall 5
) be the exceedance frequency for a break of size 657 Dsmall 5
as implied by a selected quantile value in Table 7. In general, such a quantity must 658 be interpolated from the values in the NUREG-1829 categories.
659 Plant-wide, the frequency of breaks of size Dsmall 5
and larger is f(Dsmall 5
).
Shown down the right side of Figure 10 are categories de"ned by increasing pipe sizes.
660 We de"ne Cat(Dsmall i
) as 0 < D1 < D2 <... < Dj1 < Dsmall i
< Dj... < Dn1 < Dn, 661 Cat(Dsmall i
) = j. Every weld that can experience a break of size Dsmall 5
or larger contributes 662 to the overall frequency. Hence, it is deduced that:
663 F(Dsmall 5
) = f(Dsmall 5
)
TW1 where TWn for pipe size n is the total number of welds in pipes of this category or larger.
664 For a pipe in category 2, the calculation is similar. However, it should be noted that the denominator in the equation above depends only on the size of the break and not the category of pipe in which the weld resides. So, for Weld 7 in pipe category 2, Dsmall 7
is smaller than D1. In this case, the frequency of a break of size Dsmall 7
is F(Dsmall 7
) = f(Dsmall 7
)
TW1 For Weld 11, it is F(Dsmall 11
) = f(Dsmall 11
)
TW2 Now for any weld i in pipe category n with a smallest break size Dsmall i
a general formula 665 can be written:
666 F(Dsmall i
) =
f(Dsmall i
)
TWCat(Dsmall i
)
(4)
Cat(Dsmall i
) is the pipe category corresponding to Dsmall i
. For example, if Category 1 is 667 1-inch pipes and category 2 is 2-inch pipes, then for a break of 1.75in, Cat(1.75in) = 2.
668 Now, let Rn be the set of all welds which are in the risk-informed category and are associated with pipes of category n. Then, the frequency of unacceptable events due to weld breaks in pipes of category n can be written as:
iRn F(Dsmall i
).
Finally, the overall frequency of events in the risk-informed category is given by:
669 Wednesday 29th April, 2015, 07:45 27 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 28 of 173 pages
=
NP
n=1 I
iRn F(Dsmall i
).
(5) 4.2 Plant states not tested 670 Single ECCS/CSS train operation is not assumed in a deterministic STP LOCA evaluation.
671 However, in a risk-based assessment, single train operation is possible and for certain 672 scenarios, single train operation is assessed to go to success in the PRA. In the STP 673 ECCS design, single train operation would result in twice the debris load on the operating 674 strainer. Therefore, the breaks that could be tolerated would be those with one half the 675 tested (two-train operation) debris load.
676 The break frequency description above would apply in the same way to the single train 677 operation, but would clearly result in higher frequencies due to the increased debris load.
678 To account for the increased risk, (5) could be assessed for the cases where two or three 679 trains are operating (cases either tested or bounded by the test) and assessed again for 680 the untested case (single train operation) with the higher frequency. For example, if f2 is 681 the success frequency for two or more trains operating and f1 is the success frequency for 682 single train operation, (5) can be rewritten to accommodate the total frequency,, for 683 both operating states:
684 wj =
fj
j fj
- j = 1, 2, (6a) j =wj NP
n=1 I
iRn F(Dsmall i
),
(6b)
=
j j.
(6c) 4.3 LERF frequency 685 Because the STP RCFC are independent of the concerns raised in GSI-191, and because 686 their design can remove decay and maintain contamination RCB limits within design, 687 concerns raised in GSI-191 would not result in containment failure. The RCFC design 688 allows for simpli"cation of LERF. That is, for the STP design, the change in early release 689 frequency could be assumed directly proportional to the change in core damage frequency:
690 LERF = LERFMOR
CDF CDFMOR (7)
Wednesday 29th April, 2015, 07:45 28 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 29 of 173 pages 4.4 Results 691 STP has two Cases (Case 1 and Case 2) other than the condition tested (AREVA, 2008) 692 that are bounding for "ne "ber amounts. The tested deterministic case assumed two of the 693 three STP ECCS strainers in operation (single failure criterion). Case 1 is the most likely 694 case when all three strainers are in operation. In this case, far less "ber will accumulate on 695 each strainer than for the tested case. Therefore, Case 1 is bounded by the tested case.
696 However, Case 2 corresponds to a case where only one train of the three STP ECCS 697 strainers are in operation. Although this case is beyond design basis, it needs to be consid-698 ered in the risk analysis since at least twice as much "ber would accumulate on the single 699 strainer than when two or more strainers are in operation. In this case, only 1/2 the tested 700 amount of "ne "ber can be assumed to be tolerated.
701 4.5 CDF results 702 When all cases are considered using (6), a slightly higher CDF is estimated than when 703 only one strainer is in operation. Table 8 summarizes the CDF estimate for geometric 704 and arithmetic averages from Tregoning et al. (2008). The frequencies for the bounding 705 cases are f2 = 3.32E 6yr1 (Case 1) and f1 = 4.34E 8yr1 (Case 2). As shown, the 706 median CDF is within Region III of the Regulatory Guide 1.174 evaluation (1.0E06).
707 Interpolation of Table 7 is done using the linear-linear method, (3).
708 Table 8: Case 1 and Case 2 results for geometric (GM) and arithmetic (AM) aggregations of Tregoning et al. (2008, Tables 7.11 and 7.19) data. Frequencies are in events/yr. Also shown are the results for a DEGB-only model for the locations that go to failure.
Continuum Break Model Quantile Case 1 GM Case 1 AM Case 2 GM Case 2 AM (GM)
(AM) 5th 2.64E-10 6.47E-09 3.68E-09 2.36E-08 3.08E-10 6.69E-09 50th 7.50E-09 1.68E-07 8.30E-08 4.92E-07 8.47E-09 1.72E-07 95th 3.43E-07 4.79E-06 1.81E-06 1.24E-05 3.62E-07 4.89E-06 Mean 1.17E-07 1.56E-06 5.10E-07 3.93E-06 1.22E-07 1.59E-06 DEGB-Only Model 5th 9.83E-11 8.18E-09 1.14E-09 1.66E-08 1.12E-10 8.29E-09 50th 2.86E-09 2.07E-07 2.64E-08 3.90E-07 3.16E-09 2.09E-07 95th 1.47E-07 7.06E-06 6.85E-07 1.21E-05 1.54E-07 7.13E-06 Mean 5.12E-08 2.06E-06 2.03E-07 3.61E-06 5.32E-08 2.08E-06 As shown in Table 8, only the 95th percentile of the arithmetic mean estimate exceeded 709 the Region III criterion in (NRC, 2011). As described in the letter to the NRC dated May 710 Wednesday 29th April, 2015, 07:45 29 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 30 of 173 pages Table 9: LERF evaluation for geometric and arithmetic means of the Continuum and DEG-only models.
Model LERF using (GM)
Continuum break model 7.67E-09 9.99E-08 DEGB-only model 3.34E-09 1.31E-07 22, 2014 (ML14149A434), the geometric method of aggregation is the most appropriate 711 estimator of LOCA frequency from (Tregoning et al., 2008).
712 4.6 LERF results 713 Due to independence of RCB integrity from the concerns raised in GSI-191, LERF is 714 very small. Using (7), LERF values were calculated based on baseline CDF and LERF 715 values of 9.2E-06 (CDF) and 5.78E-07 (LERF). The results are summarized in Table 9.
716 5
RCS Thermal-hydraulics 717 Vaghetto and Hassan (2013) studied the behavior of the RCS for scenarios where the fuel 718 channels and the core bypass "ow paths were fully blocked. They showed that, unless the 719 LOCA was large and located on the cooling water return side (cold leg) of the RCS, then 720 debris blockage is not a concern. Simulations were conducted using the STP RELAP5 721 model to analyze the reactor system response under hypothetical core blockage scenarios 722 during selected LOCAs. The purpose of these calculations was to identify the scenarios 723 which may produce an increase in the PCT and, subsequently, a potential core damage 724 among selected LOCAs of dierent break sizes and locations under full core and core bypass 725 blockage. The simulations performed are listed below:
726
- 1. SLOCA in Cold Leg 727
- 2. SLOCA in Hot Leg 728
- 3. MLOCA in Cold Leg 729
- 4. MLOCA in Hot Leg 730
- 5. DEGB in Cold Leg 731
- 6. DEGB in Hot Leg 732 Table 10 summarizes the basic assumptions and boundary conditions for the simulations.
733 The simulations were designed to create a theoretically worst-case condition by blocking 734 the core when the decay load is maximum. Both core and core bypass (bae "ow) were 735 assumed to be instantaneously blocked after the sump switchover at the inlet. PCT was 736 Wednesday 29th April, 2015, 07:45 30 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 31 of 173 pages used as "gure of merit to determine the success or failure of the scenario simulated. All 737 the cases which produced a PCT less than 800°F were assumed to be successful. The cases 738 where the maximum PCT was found to diverge after the core blockage time (exceeding 739 the limiting temperature of 800°F) were considered failing cases which may lead to core 740 damage. Table 11 summarizes the results obtained.
741 Table 10: Summary of boundary conditions and assumptions of the STP core blockage analyses Parameter Simulation Condition ECCS 3 Trains Break location Cold leg B (bottom)
Core blockage simulation Instantaneous k-loss increase at sump switchover Reactor power (MWt) 3853 Axial power shape Double peak (0.15 and 0.8 core height)
Actinides RELAP5-3D default model Decay heat ANS73 RWST temperature 85°F ECCS "ow Nominal (realistic)
Table 11: Results of blockage scenarios showing scenarios that had PCT less than 800°F (Pass) and those that exceeded 800°F (Fail).
Break location Break Size Cold leg Hot leg Small Pass Pass Medium Fail Pass Large Fail Pass 6
Core performance metrics 742 In addition to satisfying the strainer performance metrics, certain core performance must be 743 acceptable with the amount of LDFG "nes tested as well. There are two metrics, separately 744 evaluated but ultimately having the same consequence, that must be found acceptable to 745 categorize a scenario as deterministic. Decay heat removal considering LDFG blockage 746 of the core cooling channels and freedom from boric acid precipitation must be found 747 acceptable.
748 Wednesday 29th April, 2015, 07:45 31 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 32 of 173 pages Ogden et al. (2013) have shown that the amount of "ber penetrating through the ECCS 749 sump screen is a function of ECCS LDFG loading. In order for the screen performance 750 metrics as tested (again AREVA, 2008, for example) to serve as the worst case condition 751 for deterministic characterization, the amount of "ber passing through the ECCS strainers 752 needs to be less than that tested by the PWROG as acceptable.
753 6.1 Core cooling 754 The PWROG (2011) has tested performance of the reactor core fuel assemblies under 755 deterministically challenging conditions, and developed a performance metric in terms of 756 the allowable amount of LDFG "ber accumulation on the reactor fuel assemblies. The 757 currently accepted allowable amount of "ber accumulation for STP cores is 15 grams of 758 "ber per FA. The PWROG fuel assembly testing was performed to investigate heat removal 759 with particulate, chemical precipitates, and LDFG "ber present in the fuel assemblies but 760 boric acid precipitation was not a consideration in the PWROG testing. As shown in the 761 uncertainty analysis in Section 3 (Table 5), the maximum total "ber captured in the core in 762 a CLB is calculated to be 441 gm. The STP cores use 193 FAs, resulting in a high estimate 763 of "ber loading of less than 3 gm/FA.
764 As described in Section 5, HLB scenarios (as well as small break scenarios) can succeed 765 regardless of the "ber amounts transported to the core. The analysis in Section 5 show full 766 blockage of all "ow into the core during SLOCA and HLB will not cause loss of adequate 767 cooling.
768 6.2 Boric acid precipitation 769 In addition to heat removal, the reactor core must remain below the precipitation limit for 770 boric acid during the "rst few hours of the hypothesized LOCA. As a consequence of the 771 presence of LDFG "ber transported to the fuel assemblies, boric acid buildup may be more 772 than with the fuel assemblies clear of obstructions. Boric acid precipitation is a second core 773 performance metric that must be evaluated as acceptable with the fraction of the tested 774 amount of LDFG "bers passing through the ECCS strainers to the core (Section 3). The 775 time required to reach HLSO time must be acceptable with no lower plenum mixing since 776 it has not been determined how much "ber would allow lower plenum mixing to reduce 777 boric acid concentration. Therefore, the deterministic STP HLSO time does not rely on 778 lower plenum mixing.
779 7
Application 780 The RoverD method may be interesting to utility investigators who would want to screen 781 their plant risk against the concerns raised in GSI-191. The RoverD method could be used 782 to design a test (or test series) having the objective to obtain a prede"ned risk margin.
783 Wednesday 29th April, 2015, 07:45 32 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 33 of 173 pages That is, one could sequentially test starting with "ber amounts that would just meet the 784 Regulatory Guide 1.174 Region III requirements and subsequently lesser amounts (down 785 to that amount which just creates a "ber covering on the ECCS screen) to demonstrate 786 margin. Alternatively, perhaps preferably, one would perform simulation to design a test 787 that would help ensure suciently low risk (risk in Region III of Regulatory Guide 1.174) 788 would be realized.
789 Figure 12: Process for establishing risk thresholds depending on whether an acceptable test has been previously performed or if one should be designed to achieve a speci"c risk goal.
Figure 12 shows a simple "ow path that would accomplish this process. With an existing 790 acceptable test, analysis would be performed to understand if it provides sucient margin 791 or not. If not, or absent an existing acceptable test, one would "rst simulate their plant 792 to "nd the amount of "nes transported to the sump for all possible pipe breaks. The 793 scenarios from such a simulation could then be used to design a test (for example using 794 CASA Grande) that would meet acceptable deterministic testing criteria. A test could be 795 then performed and the results compared to the simulation to ensure the design is met, 796 otherwise, a re"nement to the test design could be made based on lessons learned.
797 Utility investigators could directly derive (Table 7), the risk margin margin desired.
798 As indicated in Figure 12, inaccuracies in the simulation may result in a test that doesnt 799 provide sucient margin. At this point, another test could be designed based on lessons 800 learned to converge on an acceptable result. If the test demonstrates acceptable ECCS and 801 core performance metrics for the deterministic classi"cations and the risk is acceptable, 802 then low risk can be asserted for the concerns raised in GSI-191 for the particular plant.
803 8
Weld list 804 In the following, tables summarize the STP scenarios in the RoverD assessment. Table 12 805 summarizes the STP RoverD risk-informed scenarios. For these scenarios, the minimum 806 amount of "ber (the amount associated with smallest Di) at each location is listed in the 807 Amount column.
808 Wednesday 29th April, 2015, 07:45 33 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 34 of 173 pages Table 13 summarizes the STP RoverD scenarios associated with locations that dont 809 exceed the tested amount of "ber at the maximum possible (DEGB) break size. For these 810 scenarios, the column Margin corresponds to the additional amount of "ber required at 811 the location that would be need to exceed the tested amount. The fi column also is the 812 associated DEGB frequency.
813 Similar data are provided in Table 14 and Table 15 for the single train cases studied.
814 In this case, there are more locations that have Dsmall i
that exceed the criterion because 815 the acceptance quantity of "ber "nes is one half the tested amount (due to half the surface 816 area available for capture).
817 Table 12: Data for weld locations in the risk-informed category listing the ith weld number, mass of "ber in the sump for the scenario (lbm), location name (ID), Break size (Size), scenario frequency, fi (mean quantile, geometric aggregation), Category, and NUREG 1829 data category No.
Amount (lbm)
Location Size (in) fi NUREG 1829 Cat.
1 207.16 16-RC-1412-NSS-8 12.814 4.37E-07 Cat. 4 2
191.78 29-RC-1101-NSS-RSG-1A-IN-SE 13.922 2.16E-07 Cat. 4 3
191.95 29-RC-1101-NSS-5.1 13.939 2.12E-07 Cat. 4 4
192.23 29-RC-1201-NSS-5.1 14.120 1.99E-07 Cat. 5 5
192.60 29-RC-1201-RSG-1B-IN-SE 14.127 1.99E-07 Cat. 5 6
195.55 29-RC-1301-RSG-1C-IN-SE 14.342 1.97E-07 Cat. 5 7
196.62 29-RC-1301-NSS-5.1 14.405 1.96E-07 Cat. 5 8
196.03 29-RC-1401-NSS-RSG-1D-IN-SE 14.620 1.94E-07 Cat. 5 9
196.51 29-RC-1401-NSS-4.1 14.650 1.93E-07 Cat. 5 10 192.74 29-RC-1101-NSS-4 14.721 1.93E-07 Cat. 5 11 192.05 29-RC-1301-NSS-4 14.948 1.90E-07 Cat. 5 12 191.87 29-RC-1201-NSS-4 14.953 1.90E-07 Cat. 5 13 194.24 29-RC-1401-NSS-3 15.172 1.88E-07 Cat. 5 14 193.97 31-RC-1102-NSS-2 16.525 1.75E-07 Cat. 5 15 194.36 31-RC-1202-NSS-RSG-1B-ON-SE 16.724 1.73E-07 Cat. 5 16 195.82 31-RC-1102-NSS-RSG-1A-ON-SE 16.760 1.72E-07 Cat. 5 17 201.09 31-RC-1202-NSS-2 16.819 1.72E-07 Cat. 5 18 191.78 31-RC-1202-NSS-3 17.020 1.70E-07 Cat. 5 19 192.64 31-RC-1302-NSS-2 17.209 1.68E-07 Cat. 5 20 201.67 31-RC-1202-NSS-1.1 17.279 1.67E-07 Cat. 5 21 194.24 31-RC-1102-NSS-3 17.338 1.66E-07 Cat. 5 22 192.56 31-RC-1302-NSS-1.1 17.593 1.64E-07 Cat. 5 23 193.22 31-RC-1302-NSS-RSG-1C-ON-SE 17.659 1.63E-07 Cat. 5 24 192.46 31-RC-1202-NSS-4 17.665 1.63E-07 Cat. 5 25 193.39 31-RC-1302-NSS-3 17.674 1.63E-07 Cat. 5 26 211.20 31-RC-1102-NSS-1.1 17.793 1.62E-07 Cat. 5 27 193.53 31-RC-1402-NSS-RSG-1D-ON-SE 17.876 1.61E-07 Cat. 5 28 196.61 31-RC-1102-NSS-4 18.126 1.58E-07 Cat. 5 29 197.10 31-RC-1402-NSS-1.1 18.140 1.58E-07 Cat. 5 30 191.86 31-RC-1402-NSS-2 18.233 1.57E-07 Cat. 5 31 192.24 31-RC-1302-NSS-4 18.367 1.56E-07 Cat. 5 32 192.93 31-RC-1402-NSS-3 19.246 1.47E-07 Cat. 5 continued next page...
Wednesday 29th April, 2015, 07:45 34 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 35 of 173 pages
... continued No.
Amount (lbm)
Location Size (in) fi NUREG 1829 Cat.
33 192.77 31-RC-1202-NSS-8 19.297 1.47E-07 Cat. 5 34 191.93 27.5-RC-1103-NSS-1 19.454 1.45E-07 Cat. 5 35 192.02 31-RC-1102-NSS-8 19.547 1.44E-07 Cat. 5 36 192.16 27.5-RC-1203-NSS-1 19.584 1.44E-07 Cat. 5 37 192.23 31-RC-1402-NSS-4 20.225 1.37E-07 Cat. 5 38 192.27 31-RC-1302-NSS-8 20.367 1.36E-07 Cat. 5 39 191.80 27.5-RC-1303-NSS-1 21.007 1.30E-07 Cat. 5 40 192.07 31-RC-1202-NSS-9 21.114 1.28E-07 Cat. 5 41 192.04 31-RC-1102-NSS-9 21.255 1.27E-07 Cat. 5 42 192.16 27.5-RC-1403-NSS-1 22.068 1.19E-07 Cat. 5 43 191.94 31-RC-1402-NSS-8 22.155 1.18E-07 Cat. 5 44 191.79 31-RC-1302-NSS-9 23.040 1.09E-07 Cat. 5 45 191.96 31-RC-1402-NSS-9 25.303 8.63E-08 Cat. 5 Table 13: DEGB data (largest break size) for weld locations in the deterministic category showing listing the ith weld number, the margin to the mass of "ber in the sump produced to the tested amount (lbm),
location name, Break size (Size), scenario DEGB frequency, fi (mean quantile, geometric aggregation), and NUREG 1829 data category No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
46 163.2 0.75-CV-1122-BB1-1 0.614 1.75E-03 Cat. 1 47 163.2 0.75-CV-1122-BB1-2 0.614 1.75E-03 Cat. 1 48 163.3 0.75-CV-1124-BB1-1 0.614 1.75E-03 Cat. 1 49 163.3 0.75-CV-1124-BB1-2 0.614 1.75E-03 Cat. 1 50 163.3 0.75-CV-1126-BB1-1 0.614 1.75E-03 Cat. 1 51 163.1 0.75-CV-1126-BB1-2 0.614 1.75E-03 Cat. 1 52 163.3 0.75-CV-1128-BB1-1 0.614 1.75E-03 Cat. 1 53 163.3 0.75-CV-1128-BB1-2 0.614 1.75E-03 Cat. 1 54 163.1 0.75-RC-1001-BB1-1 0.614 1.75E-03 Cat. 1 55 163.0 0.75-RC-1002-BB2-1 0.614 1.75E-03 Cat. 1 56 163.0 0.75-RC-1112-BB1-1 0.614 1.75E-03 Cat. 1 57 162.9 0.75-RC-1114-BB1-1 0.614 1.75E-03 Cat. 1 58 163.0 0.75-RC-1125-BB1-1 0.614 1.75E-03 Cat. 1 59 162.9 0.75-RC-1125-BB1-2 0.614 1.75E-03 Cat. 1 60 163.0 0.75-RC-1126-BB1-1 0.614 1.75E-03 Cat. 1 61 163.0 0.75-RC-1212-BB1-1 0.614 1.75E-03 Cat. 1 62 162.9 0.75-RC-1214-BB1-1 0.614 1.75E-03 Cat. 1 63 163.0 0.75-RC-1221-BB1-1 0.614 1.75E-03 Cat. 1 64 163.0 0.75-RC-1221-BB1-2 0.614 1.75E-03 Cat. 1 65 163.0 0.75-RC-1312-BB1-1 0.614 1.75E-03 Cat. 1 66 162.9 0.75-RC-1324-BB1-1 0.614 1.75E-03 Cat. 1 67 163.0 0.75-RC-1423-BB1-1 0.614 1.75E-03 Cat. 1 68 163.1 0.75-SI-1130-BB2-1 0.614 1.75E-03 Cat. 1 69 163.1 0.75-SI-1132-BB1-1 0.614 1.75E-03 Cat. 1 70 163.1 0.75-SI-1218-BB1-1 0.614 1.75E-03 Cat. 1 continued next page...
Wednesday 29th April, 2015, 07:45 35 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 36 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
71 163.1 0.75-SI-1223-BB2-1 0.614 1.75E-03 Cat. 1 72 162.9 0.75-SI-1315-BB1-1 0.614 1.75E-03 Cat. 1 73 163.2 0.75-SI-1323-BB1-1 0.614 1.75E-03 Cat. 1 74 163.1 0.75-SI-1327-BB1-1 0.614 1.75E-03 Cat. 1 75 163.1 0.75-SI-1327-BB1-2 0.614 1.75E-03 Cat. 1 76 163.1 0.75-SI-1327-BB1-3 0.614 1.75E-03 Cat. 1 77 163.1 0.75-SI-1328-BB2-1 0.614 1.75E-03 Cat. 1 78 162.7 1-RC-1003-BB1-1 0.815 1.49E-03 Cat. 1 79 163.0 1-RC-1123-BB1-1 0.815 1.49E-03 Cat. 1 80 162.9 1-RC-1422-BB1-1 0.815 1.49E-03 Cat. 1 81 161.6 1.5-RC-1412-NSS-1 1.338 7.98E-04 Cat. 1 82 163.2 2(1.5)-CV-1122-BB1-1 1.338 7.98E-04 Cat. 1 83 163.0 2(1.5)-CV-1122-BB1-2 1.338 7.98E-04 Cat. 1 84 163.2 2(1.5)-CV-1124-BB1-1 1.338 7.98E-04 Cat. 1 85 162.9 2(1.5)-CV-1124-BB1-2 1.338 7.98E-04 Cat. 1 86 162.7 2(1.5)-CV-1126-BB1-1 1.338 7.98E-04 Cat. 1 87 162.8 2(1.5)-CV-1126-BB1-2 1.338 7.98E-04 Cat. 1 88 163.0 2(1.5)-CV-1128-BB1-1 1.338 7.98E-04 Cat. 1 89 162.8 2(1.5)-CV-1128-BB1-2 1.338 7.98E-04 Cat. 1 90 163.0 2-CV-1121-BB1-1 1.689 4.01E-04 Cat. 2 91 162.8 2-CV-1121-BB1-2 1.689 4.01E-04 Cat. 2 92 162.7 2-CV-1121-BB1-3 1.689 4.01E-04 Cat. 2 93 162.5 2-CV-1122-BB1-1 1.689 4.01E-04 Cat. 2 94 162.6 2-CV-1122-BB1-2 1.689 4.01E-04 Cat. 2 95 162.6 2-CV-1122-BB1-3 1.689 4.01E-04 Cat. 2 96 162.6 2-CV-1122-BB1-4 1.689 4.01E-04 Cat. 2 97 162.6 2-CV-1122-BB1-5 1.689 4.01E-04 Cat. 2 98 162.8 2-CV-1122-BB1-6 1.689 4.01E-04 Cat. 2 99 162.6 2-CV-1124-BB1-1 1.689 4.01E-04 Cat. 2 100 162.5 2-CV-1124-BB1-10 1.689 4.01E-04 Cat. 2 101 162.5 2-CV-1124-BB1-11 1.689 4.01E-04 Cat. 2 102 163.0 2-CV-1124-BB1-12 1.689 4.01E-04 Cat. 2 103 162.9 2-CV-1124-BB1-13 1.689 4.01E-04 Cat. 2 104 162.6 2-CV-1124-BB1-2 1.689 4.01E-04 Cat. 2 105 162.6 2-CV-1124-BB1-3 1.689 4.01E-04 Cat. 2 106 162.5 2-CV-1124-BB1-4 1.689 4.01E-04 Cat. 2 107 162.5 2-CV-1124-BB1-5 1.689 4.01E-04 Cat. 2 108 162.5 2-CV-1124-BB1-6 1.689 4.01E-04 Cat. 2 109 162.7 2-CV-1124-BB1-7 1.689 4.01E-04 Cat. 2 110 162.6 2-CV-1124-BB1-8 1.689 4.01E-04 Cat. 2 111 162.5 2-CV-1124-BB1-9 1.689 4.01E-04 Cat. 2 112 163.1 2-CV-1126-BB1-1 1.689 4.01E-04 Cat. 2 113 162.4 2-CV-1126-BB1-10 1.689 4.01E-04 Cat. 2 114 162.5 2-CV-1126-BB1-11 1.689 4.01E-04 Cat. 2 115 163.1 2-CV-1126-BB1-2 1.689 4.01E-04 Cat. 2 116 163.0 2-CV-1126-BB1-3 1.689 4.01E-04 Cat. 2 continued next page...
Wednesday 29th April, 2015, 07:45 36 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 37 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
117 162.9 2-CV-1126-BB1-4 1.689 4.01E-04 Cat. 2 118 162.9 2-CV-1126-BB1-5 1.689 4.01E-04 Cat. 2 119 162.9 2-CV-1126-BB1-6 1.689 4.01E-04 Cat. 2 120 162.8 2-CV-1126-BB1-7 1.689 4.01E-04 Cat. 2 121 161.9 2-CV-1126-BB1-8 1.689 4.01E-04 Cat. 2 122 161.8 2-CV-1126-BB1-9 1.689 4.01E-04 Cat. 2 123 163.3 2-CV-1128-BB1-1 1.689 4.01E-04 Cat. 2 124 163.1 2-CV-1128-BB1-2 1.689 4.01E-04 Cat. 2 125 163.0 2-CV-1128-BB1-3 1.689 4.01E-04 Cat. 2 126 163.0 2-CV-1128-BB1-3A 1.689 4.01E-04 Cat. 2 127 162.9 2-CV-1128-BB1-3B 1.689 4.01E-04 Cat. 2 128 162.9 2-CV-1128-BB1-4 1.689 4.01E-04 Cat. 2 129 162.9 2-CV-1128-BB1-5 1.689 4.01E-04 Cat. 2 130 162.9 2-CV-1128-BB1-6 1.689 4.01E-04 Cat. 2 131 162.8 2-CV-1128-BB1-7 1.689 4.01E-04 Cat. 2 132 162.8 2-CV-1141-BB1-1 1.689 4.01E-04 Cat. 2 133 162.9 2-CV-1141-BB1-2 1.689 4.01E-04 Cat. 2 134 162.7 2-RC-1003-BB1-1 1.689 4.01E-04 Cat. 2 135 162.4 2-RC-1003-BB1-2 1.689 4.01E-04 Cat. 2 136 162.0 2-RC-1120-BB1-1 1.689 4.01E-04 Cat. 2 137 162.2 2-RC-1120-BB1-2 1.689 4.01E-04 Cat. 2 138 161.6 2-RC-1121-BB1-1 1.689 4.01E-04 Cat. 2 139 162.7 2-RC-1121-BB1-2 1.689 4.01E-04 Cat. 2 140 162.7 2-RC-1121-BB1-3 1.689 4.01E-04 Cat. 2 141 162.7 2-RC-1121-BB1-3A 1.689 4.01E-04 Cat. 2 142 162.8 2-RC-1121-BB1-3B 1.689 4.01E-04 Cat. 2 143 162.9 2-RC-1121-BB1-4 1.689 4.01E-04 Cat. 2 144 161.9 2-RC-1219-BB1-1 1.689 4.01E-04 Cat. 2 145 162.1 2-RC-1219-BB1-2 1.689 4.01E-04 Cat. 2 146 161.6 2-RC-1220-BB1-1 1.689 4.01E-04 Cat. 2 147 162.8 2-RC-1220-BB1-2 1.689 4.01E-04 Cat. 2 148 162.8 2-RC-1220-BB1-3 1.689 4.01E-04 Cat. 2 149 162.9 2-RC-1220-BB1-4 1.689 4.01E-04 Cat. 2 150 161.8 2-RC-1319-BB1-1 1.689 4.01E-04 Cat. 2 151 162.2 2-RC-1319-BB1-2 1.689 4.01E-04 Cat. 2 152 162.2 2-RC-1321-BB1-1 1.689 4.01E-04 Cat. 2 153 162.4 2-RC-1321-BB1-4 1.689 4.01E-04 Cat. 2 154 162.4 2-RC-1321-BB1-5 1.689 4.01E-04 Cat. 2 155 162.5 2-RC-1321-BB1-6 1.689 4.01E-04 Cat. 2 156 162.0 2-RC-1417-BB1-1 1.689 4.01E-04 Cat. 2 157 162.1 2-RC-1417-BB1-2 1.689 4.01E-04 Cat. 2 158 161.6 2-RC-1418-BB1-1 1.689 4.01E-04 Cat. 2 159 162.2 2-RC-1418-BB1-2 1.689 4.01E-04 Cat. 2 160 162.2 2-RC-1418-BB1-3 1.689 4.01E-04 Cat. 2 161 162.3 2-RC-1418-BB1-4 1.689 4.01E-04 Cat. 2 162 162.4 2-RC-1418-BB1-5 1.689 4.01E-04 Cat. 2 continued next page...
Wednesday 29th April, 2015, 07:45 37 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 38 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
163 162.6 2-RC-1418-BB1-6 1.689 4.01E-04 Cat. 2 164 162.3 2-RC-1419-BB1-1 1.689 4.01E-04 Cat. 2 165 162.5 2-RC-1419-BB1-2 1.689 4.01E-04 Cat. 2 166 162.5 2-RC-1419-BB1-3 1.689 4.01E-04 Cat. 2 167 162.8 2-RC-1419-BB1-4 1.689 4.01E-04 Cat. 2 168 161.8 31-RC-1102-NSS-5 1.689 4.01E-04 Cat. 2 169 161.5 31-RC-1102-NSS-6 1.689 4.01E-04 Cat. 2 170 161.8 31-RC-1202-NSS-5 1.689 4.01E-04 Cat. 2 171 161.4 31-RC-1202-NSS-7 1.689 4.01E-04 Cat. 2 172 161.7 31-RC-1302-NSS-5 1.689 4.01E-04 Cat. 2 173 161.8 31-RC-1402-NSS-5 1.689 4.01E-04 Cat. 2 174 161.4 31-RC-1402-NSS-7 1.689 4.01E-04 Cat. 2 175 161.3 2.5-RC-1003-BB1-1 2.125 2.73E-04 Cat. 2 176 161.5 2.5-RC-1003-BB1-2 2.125 2.73E-04 Cat. 2 177 161.6 2.5-RC-1003-BB1-3 2.125 2.73E-04 Cat. 2 178 161.6 2.5-RC-1003-BB1-4 2.125 2.73E-04 Cat. 2 179 161.6 2.5-RC-1003-BB1-5 2.125 2.73E-04 Cat. 2 180 161.6 2.5-RC-1003-BB1-6 2.125 2.73E-04 Cat. 2 181 158.9 31-RC-1102-NSS-7 2.626 1.26E-04 Cat. 2 182 158.9 31-RC-1202-NSS-6 2.626 1.26E-04 Cat. 2 183 158.9 31-RC-1302-NSS-6 2.626 1.26E-04 Cat. 2 184 158.9 31-RC-1402-NSS-6 2.626 1.26E-04 Cat. 2 185 161.1 3-RC-1003-BB1-1 2.626 1.26E-04 Cat. 2 186 161.2 3-RC-1003-BB1-2 2.626 1.26E-04 Cat. 2 187 161.2 3-RC-1015-NSS-1 2.626 1.26E-04 Cat. 2 188 160.6 3-RC-1015-NSS-10 2.626 1.26E-04 Cat. 2 189 160.7 3-RC-1015-NSS-11 2.626 1.26E-04 Cat. 2 190 161.2 3-RC-1015-NSS-12 2.626 1.26E-04 Cat. 2 191 161.9 3-RC-1015-NSS-13 2.626 1.26E-04 Cat. 2 192 163.0 3-RC-1015-NSS-14 2.626 1.26E-04 Cat. 2 193 163.1 3-RC-1015-NSS-15 2.626 1.26E-04 Cat. 2 194 162.1 3-RC-1015-NSS-16 2.626 1.26E-04 Cat. 2 195 161.4 3-RC-1015-NSS-2 2.626 1.26E-04 Cat. 2 196 161.6 3-RC-1015-NSS-3 2.626 1.26E-04 Cat. 2 197 162.2 3-RC-1015-NSS-4 2.626 1.26E-04 Cat. 2 198 162.7 3-RC-1015-NSS-5 2.626 1.26E-04 Cat. 2 199 163.2 3-RC-1015-NSS-6 2.626 1.26E-04 Cat. 2 200 163.3 3-RC-1015-NSS-7 2.626 1.26E-04 Cat. 2 201 163.3 3-RC-1015-NSS-8 2.626 1.26E-04 Cat. 2 202 160.6 3-RC-1015-NSS-9 2.626 1.26E-04 Cat. 2 203 159.6 3-RC-1106-BB1-25 2.626 1.26E-04 Cat. 2 204 159.6 3-RC-1206-BB1-28 2.626 1.26E-04 Cat. 2 205 159.6 3-RC-1306-BB1-28 2.626 1.26E-04 Cat. 2 206 159.7 3-RC-1406-BB1-25 2.626 1.26E-04 Cat. 2 207 153.8 27.5-RC-1103-NSS-3 3.438 1.44E-05 Cat. 3 208 155.6 27.5-RC-1103-NSS-5 3.438 1.44E-05 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 38 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 39 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
209 156.2 27.5-RC-1303-NSS-4 3.438 1.44E-05 Cat. 3 210 155.2 27.5-RC-1403-NSS-3 3.438 1.44E-05 Cat. 3 211 155.4 27.5-RC-1403-NSS-4 3.438 1.44E-05 Cat. 3 212 155.2 31-RC-1302-NSS-7 3.438 1.44E-05 Cat. 3 213 161.8 4-CV-1001-BB1-1 3.438 1.44E-05 Cat. 3 214 162.3 4-CV-1001-BB1-2 3.438 1.44E-05 Cat. 3 215 162.3 4-CV-1118-BB1-1 3.438 1.44E-05 Cat. 3 216 161.5 4-CV-1118-BB1-2 3.438 1.44E-05 Cat. 3 217 160.3 4-CV-1120-BB1-1 3.438 1.44E-05 Cat. 3 218 159.9 4-CV-1120-BB1-2 3.438 1.44E-05 Cat. 3 219 159.0 4-RC-1000-BB1-1 3.438 1.44E-05 Cat. 3 220 159.7 4-RC-1000-BB1-2 3.438 1.44E-05 Cat. 3 221 159.7 4-RC-1000-BB1-3 3.438 1.44E-05 Cat. 3 222 160.1 4-RC-1000-BB1-4 3.438 1.44E-05 Cat. 3 223 160.1 4-RC-1000-BB1-5 3.438 1.44E-05 Cat. 3 224 159.9 4-RC-1000-BB1-6 3.438 1.44E-05 Cat. 3 225 159.8 4-RC-1000-BB1-7 3.438 1.44E-05 Cat. 3 226 158.6 4-RC-1000-BB1-8 3.438 1.44E-05 Cat. 3 227 159.1 4-RC-1003-BB1-1 3.438 1.44E-05 Cat. 3 228 159.2 4-RC-1003-BB1-2 3.438 1.44E-05 Cat. 3 229 159.1 4-RC-1003-BB1-3 3.438 1.44E-05 Cat. 3 230 158.6 4-RC-1003-BB1-4 3.438 1.44E-05 Cat. 3 231 154.3 4-RC-1123-BB1-1 3.438 1.44E-05 Cat. 3 232 160.6 4-RC-1123-BB1-10 3.438 1.44E-05 Cat. 3 233 161.4 4-RC-1123-BB1-11 3.438 1.44E-05 Cat. 3 234 161.8 4-RC-1123-BB1-12 3.438 1.44E-05 Cat. 3 235 161.8 4-RC-1123-BB1-13 3.438 1.44E-05 Cat. 3 236 162.0 4-RC-1123-BB1-14 3.438 1.44E-05 Cat. 3 237 161.8 4-RC-1123-BB1-15 3.438 1.44E-05 Cat. 3 238 159.8 4-RC-1123-BB1-16 3.438 1.44E-05 Cat. 3 239 159.1 4-RC-1123-BB1-17 3.438 1.44E-05 Cat. 3 240 157.7 4-RC-1123-BB1-18 3.438 1.44E-05 Cat. 3 241 157.7 4-RC-1123-BB1-19 3.438 1.44E-05 Cat. 3 242 161.8 4-RC-1123-BB1-2 3.438 1.44E-05 Cat. 3 243 158.7 4-RC-1123-BB1-20 3.438 1.44E-05 Cat. 3 244 161.8 4-RC-1123-BB1-3 3.438 1.44E-05 Cat. 3 245 161.8 4-RC-1123-BB1-4 3.438 1.44E-05 Cat. 3 246 161.9 4-RC-1123-BB1-5 3.438 1.44E-05 Cat. 3 247 161.9 4-RC-1123-BB1-6 3.438 1.44E-05 Cat. 3 248 161.8 4-RC-1123-BB1-7 3.438 1.44E-05 Cat. 3 249 161.8 4-RC-1123-BB1-8 3.438 1.44E-05 Cat. 3 250 160.1 4-RC-1123-BB1-9 3.438 1.44E-05 Cat. 3 251 161.2 4-RC-1126-BB1-1 3.438 1.44E-05 Cat. 3 252 160.2 4-RC-1126-BB1-2 3.438 1.44E-05 Cat. 3 253 159.9 4-RC-1126-BB1-3 3.438 1.44E-05 Cat. 3 254 160.0 4-RC-1126-BB1-4 3.438 1.44E-05 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 39 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 40 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
255 159.3 4-RC-1126-BB1-5 3.438 1.44E-05 Cat. 3 256 156.0 4-RC-1126-BB1-6 3.438 1.44E-05 Cat. 3 257 155.4 4-RC-1320-BB1-1 3.438 1.44E-05 Cat. 3 258 161.4 4-RC-1320-BB1-10 3.438 1.44E-05 Cat. 3 259 161.5 4-RC-1320-BB1-11 3.438 1.44E-05 Cat. 3 260 161.5 4-RC-1320-BB1-12 3.438 1.44E-05 Cat. 3 261 156.0 4-RC-1320-BB1-2 3.438 1.44E-05 Cat. 3 262 156.6 4-RC-1320-BB1-3 3.438 1.44E-05 Cat. 3 263 158.8 4-RC-1320-BB1-4 3.438 1.44E-05 Cat. 3 264 159.2 4-RC-1320-BB1-5 3.438 1.44E-05 Cat. 3 265 159.6 4-RC-1320-BB1-6 3.438 1.44E-05 Cat. 3 266 159.9 4-RC-1320-BB1-7 3.438 1.44E-05 Cat. 3 267 160.2 4-RC-1320-BB1-8 3.438 1.44E-05 Cat. 3 268 161.1 4-RC-1320-BB1-9 3.438 1.44E-05 Cat. 3 269 160.8 4-RC-1323-BB1-1 3.438 1.44E-05 Cat. 3 270 161.0 4-RC-1323-BB1-2 3.438 1.44E-05 Cat. 3 271 161.5 4-RC-1323-BB1-3 3.438 1.44E-05 Cat. 3 272 156.6 4-RC-1323-BB1-4 3.438 1.44E-05 Cat. 3 273 156.1 4-RC-1420-BB1-1 3.438 1.44E-05 Cat. 3 274 155.8 4-RC-1422-BB1-1 3.438 1.44E-05 Cat. 3 275 161.8 4-RC-1422-BB1-10 3.438 1.44E-05 Cat. 3 276 161.8 4-RC-1422-BB1-11 3.438 1.44E-05 Cat. 3 277 159.8 4-RC-1422-BB1-12 3.438 1.44E-05 Cat. 3 278 160.6 4-RC-1422-BB1-13 3.438 1.44E-05 Cat. 3 279 160.8 4-RC-1422-BB1-14 3.438 1.44E-05 Cat. 3 280 161.2 4-RC-1422-BB1-15 3.438 1.44E-05 Cat. 3 281 161.7 4-RC-1422-BB1-16 3.438 1.44E-05 Cat. 3 282 162.0 4-RC-1422-BB1-17 3.438 1.44E-05 Cat. 3 283 161.8 4-RC-1422-BB1-18 3.438 1.44E-05 Cat. 3 284 162.0 4-RC-1422-BB1-19 3.438 1.44E-05 Cat. 3 285 156.7 4-RC-1422-BB1-2 3.438 1.44E-05 Cat. 3 286 162.1 4-RC-1422-BB1-20 3.438 1.44E-05 Cat. 3 287 160.3 4-RC-1422-BB1-21 3.438 1.44E-05 Cat. 3 288 159.8 4-RC-1422-BB1-22 3.438 1.44E-05 Cat. 3 289 159.6 4-RC-1422-BB1-23 3.438 1.44E-05 Cat. 3 290 157.4 4-RC-1422-BB1-3 3.438 1.44E-05 Cat. 3 291 156.8 4-RC-1422-BB1-4 3.438 1.44E-05 Cat. 3 292 157.4 4-RC-1422-BB1-5 3.438 1.44E-05 Cat. 3 293 161.6 4-RC-1422-BB1-6 3.438 1.44E-05 Cat. 3 294 161.6 4-RC-1422-BB1-7 3.438 1.44E-05 Cat. 3 295 161.6 4-RC-1422-BB1-8 3.438 1.44E-05 Cat. 3 296 161.6 4-RC-1422-BB1-9 3.438 1.44E-05 Cat. 3 297 148.9 6-RC-1003-BB1-1 5.189 8.12E-06 Cat. 3 298 150.4 6-RC-1003-BB1-10 5.189 8.12E-06 Cat. 3 299 150.2 6-RC-1003-BB1-11 5.189 8.12E-06 Cat. 3 300 147.6 6-RC-1003-BB1-11A 5.189 8.12E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 40 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 41 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
301 145.9 6-RC-1003-BB1-11B 5.189 8.12E-06 Cat. 3 302 142.6 6-RC-1003-BB1-12 5.189 8.12E-06 Cat. 3 303 138.7 6-RC-1003-BB1-13 5.189 8.12E-06 Cat. 3 304 133.7 6-RC-1003-BB1-13A 5.189 8.12E-06 Cat. 3 305 129.6 6-RC-1003-BB1-14 5.189 8.12E-06 Cat. 3 306 148.9 6-RC-1003-BB1-2 5.189 8.12E-06 Cat. 3 307 148.9 6-RC-1003-BB1-3 5.189 8.12E-06 Cat. 3 308 149.1 6-RC-1003-BB1-4 5.189 8.12E-06 Cat. 3 309 149.4 6-RC-1003-BB1-5 5.189 8.12E-06 Cat. 3 310 150.0 6-RC-1003-BB1-6 5.189 8.12E-06 Cat. 3 311 148.3 6-RC-1003-BB1-7 5.189 8.12E-06 Cat. 3 312 144.4 6-RC-1003-BB1-8 5.189 8.12E-06 Cat. 3 313 143.9 6-RC-1003-BB1-9 5.189 8.12E-06 Cat. 3 314 143.9 6-RC-1003-BB1-9A 5.189 8.12E-06 Cat. 3 315 143.9 6-RC-1003-BB1-9B 5.189 8.12E-06 Cat. 3 316 129.7 6-RC-1003-BB1-PRZ-1-N2-SE 5.189 8.12E-06 Cat. 3 317 136.5 6-RC-1004-NSS-1 5.189 8.12E-06 Cat. 3 318 138.5 6-RC-1004-NSS-2 5.189 8.12E-06 Cat. 3 319 142.1 6-RC-1004-NSS-3 5.189 8.12E-06 Cat. 3 320 137.3 6-RC-1004-NSS-4 5.189 8.12E-06 Cat. 3 321 136.1 6-RC-1004-NSS-5 5.189 8.12E-06 Cat. 3 322 142.9 6-RC-1004-NSS-6 5.189 8.12E-06 Cat. 3 323 145.3 6-RC-1004-NSS-7 5.189 8.12E-06 Cat. 3 324 136.5 6-RC-1004-NSS-PRZ-1-N3-SE 5.189 8.12E-06 Cat. 3 325 134.4 6-RC-1009-NSS-1 5.189 8.12E-06 Cat. 3 326 136.1 6-RC-1009-NSS-2 5.189 8.12E-06 Cat. 3 327 140.7 6-RC-1009-NSS-3 5.189 8.12E-06 Cat. 3 328 136.8 6-RC-1009-NSS-4 5.189 8.12E-06 Cat. 3 329 133.7 6-RC-1009-NSS-5 5.189 8.12E-06 Cat. 3 330 132.6 6-RC-1009-NSS-6 5.189 8.12E-06 Cat. 3 331 134.1 6-RC-1009-NSS-7 5.189 8.12E-06 Cat. 3 332 137.3 6-RC-1009-NSS-8 5.189 8.12E-06 Cat. 3 333 140.0 6-RC-1009-NSS-9 5.189 8.12E-06 Cat. 3 334 134.6 6-RC-1009-NSS-PRZ-1-N4C-SE 5.189 8.12E-06 Cat. 3 335 131.5 6-RC-1012-NSS-1 5.189 8.12E-06 Cat. 3 336 139.0 6-RC-1012-NSS-10 5.189 8.12E-06 Cat. 3 337 139.6 6-RC-1012-NSS-11 5.189 8.12E-06 Cat. 3 338 133.0 6-RC-1012-NSS-2 5.189 8.12E-06 Cat. 3 339 134.0 6-RC-1012-NSS-3 5.189 8.12E-06 Cat. 3 340 134.3 6-RC-1012-NSS-4 5.189 8.12E-06 Cat. 3 341 136.9 6-RC-1012-NSS-5 5.189 8.12E-06 Cat. 3 342 137.7 6-RC-1012-NSS-6 5.189 8.12E-06 Cat. 3 343 139.0 6-RC-1012-NSS-7 5.189 8.12E-06 Cat. 3 344 138.5 6-RC-1012-NSS-8 5.189 8.12E-06 Cat. 3 345 135.8 6-RC-1012-NSS-9 5.189 8.12E-06 Cat. 3 346 131.4 6-RC-1012-NSS-PRZ-1-N4B-SE 5.189 8.12E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 41 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 42 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
347 132.1 6-RC-1015-NSS-1 5.189 8.12E-06 Cat. 3 348 139.7 6-RC-1015-NSS-10 5.189 8.12E-06 Cat. 3 349 150.6 6-RC-1015-NSS-11 5.189 8.12E-06 Cat. 3 350 152.5 6-RC-1015-NSS-12 5.189 8.12E-06 Cat. 3 351 152.8 6-RC-1015-NSS-13 5.189 8.12E-06 Cat. 3 352 151.9 6-RC-1015-NSS-14 5.189 8.12E-06 Cat. 3 353 151.8 6-RC-1015-NSS-15 5.189 8.12E-06 Cat. 3 354 134.0 6-RC-1015-NSS-2 5.189 8.12E-06 Cat. 3 355 135.3 6-RC-1015-NSS-3 5.189 8.12E-06 Cat. 3 356 134.2 6-RC-1015-NSS-4 5.189 8.12E-06 Cat. 3 357 132.0 6-RC-1015-NSS-5 5.189 8.12E-06 Cat. 3 358 131.3 6-RC-1015-NSS-6 5.189 8.12E-06 Cat. 3 359 131.2 6-RC-1015-NSS-7 5.189 8.12E-06 Cat. 3 360 134.1 6-RC-1015-NSS-8 5.189 8.12E-06 Cat. 3 361 136.5 6-RC-1015-NSS-9 5.189 8.12E-06 Cat. 3 362 162.7 6-SI-1108-BB1-1 5.189 8.12E-06 Cat. 3 363 162.6 6-SI-1108-BB1-2 5.189 8.12E-06 Cat. 3 364 162.0 6-SI-1108-BB1-3 5.189 8.12E-06 Cat. 3 365 154.6 6-SI-1108-BB1-4 5.189 8.12E-06 Cat. 3 366 159.9 6-SI-1111-BB1-1 5.189 8.12E-06 Cat. 3 367 159.8 6-SI-1111-BB1-2 5.189 8.12E-06 Cat. 3 368 162.7 6-SI-1208-BB1-1 5.189 8.12E-06 Cat. 3 369 162.7 6-SI-1208-BB1-2 5.189 8.12E-06 Cat. 3 370 162.0 6-SI-1208-BB1-3 5.189 8.12E-06 Cat. 3 371 155.6 6-SI-1208-BB1-4 5.189 8.12E-06 Cat. 3 372 160.6 6-SI-1211-BB1-1 5.189 8.12E-06 Cat. 3 373 160.4 6-SI-1211-BB1-2 5.189 8.12E-06 Cat. 3 374 159.7 6-SI-1308-BB1-1 5.189 8.12E-06 Cat. 3 375 160.9 6-SI-1308-BB1-2 5.189 8.12E-06 Cat. 3 376 161.2 6-SI-1308-BB1-3 5.189 8.12E-06 Cat. 3 377 160.1 6-SI-1308-BB1-4 5.189 8.12E-06 Cat. 3 378 149.0 6-SI-1327-BB1-1 5.189 8.12E-06 Cat. 3 379 149.5 6-SI-1327-BB1-2 5.189 8.12E-06 Cat. 3 380 150.0 6-SI-1327-BB1-3 5.189 8.12E-06 Cat. 3 381 149.5 6-SI-1327-BB1-4 5.189 8.12E-06 Cat. 3 382 150.4 6-SI-1327-BB1-5 5.189 8.12E-06 Cat. 3 383 151.2 6-SI-1327-BB1-6 5.189 8.12E-06 Cat. 3 384 152.2 6-SI-1327-BB1-7 5.189 8.12E-06 Cat. 3 385 131.8 29-RC-1101-NSS-2 6.813 2.27E-06 Cat. 3 386 131.9 29-RC-1201-NSS-2 6.813 2.27E-06 Cat. 3 387 131.4 29-RC-1301-NSS-2 6.813 2.27E-06 Cat. 3 388 142.1 8-RC-1114-BB1-1 6.813 2.27E-06 Cat. 3 389 143.6 8-RC-1114-BB1-2 6.813 2.27E-06 Cat. 3 390 142.1 8-RC-1114-BB1-3 6.813 2.27E-06 Cat. 3 391 139.2 8-RC-1114-BB1-4 6.813 2.27E-06 Cat. 3 392 135.5 8-RC-1114-BB1-5 6.813 2.27E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 42 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 43 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
393 132.2 8-RC-1114-BB1-6 6.813 2.27E-06 Cat. 3 394 142.4 8-RC-1214-BB1-1 6.813 2.27E-06 Cat. 3 395 143.9 8-RC-1214-BB1-2 6.813 2.27E-06 Cat. 3 396 142.6 8-RC-1214-BB1-3 6.813 2.27E-06 Cat. 3 397 139.6 8-RC-1214-BB1-4 6.813 2.27E-06 Cat. 3 398 136.0 8-RC-1214-BB1-5 6.813 2.27E-06 Cat. 3 399 132.9 8-RC-1214-BB1-6 6.813 2.27E-06 Cat. 3 400 140.9 8-RC-1324-BB1-1 6.813 2.27E-06 Cat. 3 401 142.5 8-RC-1324-BB1-2 6.813 2.27E-06 Cat. 3 402 141.5 8-RC-1324-BB1-3 6.813 2.27E-06 Cat. 3 403 140.4 8-RC-1324-BB1-4 6.813 2.27E-06 Cat. 3 404 136.2 8-RC-1324-BB1-5 6.813 2.27E-06 Cat. 3 405 132.9 8-RC-1324-BB1-6 6.813 2.27E-06 Cat. 3 406 159.1 8-RH-1108-BB1-1 6.813 2.27E-06 Cat. 3 407 158.8 8-RH-1108-BB1-2 6.813 2.27E-06 Cat. 3 408 141.7 8-RH-1112-BB1-1 6.813 2.27E-06 Cat. 3 409 143.2 8-RH-1112-BB1-1A 6.813 2.27E-06 Cat. 3 410 142.8 8-RH-1112-BB1-2 6.813 2.27E-06 Cat. 3 411 160.0 8-RH-1208-BB1-1 6.813 2.27E-06 Cat. 3 412 159.8 8-RH-1208-BB1-2 6.813 2.27E-06 Cat. 3 413 141.0 8-RH-1212-BB1-1 6.813 2.27E-06 Cat. 3 414 144.0 8-RH-1212-BB1-2 6.813 2.27E-06 Cat. 3 415 153.1 8-RH-1308-BB1-1 6.813 2.27E-06 Cat. 3 416 154.8 8-RH-1308-BB1-2 6.813 2.27E-06 Cat. 3 417 142.8 8-RH-1315-BB1-1 6.813 2.27E-06 Cat. 3 418 147.9 8-SI-1108-BB1-1 6.813 2.27E-06 Cat. 3 419 144.7 8-SI-1108-BB1-2 6.813 2.27E-06 Cat. 3 420 141.0 8-SI-1108-BB1-3 6.813 2.27E-06 Cat. 3 421 137.1 8-SI-1108-BB1-4 6.813 2.27E-06 Cat. 3 422 139.8 8-SI-1108-BB1-5 6.813 2.27E-06 Cat. 3 423 148.3 8-SI-1208-BB1-1 6.813 2.27E-06 Cat. 3 424 146.4 8-SI-1208-BB1-2 6.813 2.27E-06 Cat. 3 425 141.8 8-SI-1208-BB1-3 6.813 2.27E-06 Cat. 3 426 137.8 8-SI-1208-BB1-3A 6.813 2.27E-06 Cat. 3 427 140.9 8-SI-1208-BB1-4 6.813 2.27E-06 Cat. 3 428 144.1 8-SI-1327-BB1-1 6.813 2.27E-06 Cat. 3 429 131.3 8-SI-1327-BB1-10 6.813 2.27E-06 Cat. 3 430 137.0 8-SI-1327-BB1-11 6.813 2.27E-06 Cat. 3 431 144.7 8-SI-1327-BB1-2 6.813 2.27E-06 Cat. 3 432 145.0 8-SI-1327-BB1-3 6.813 2.27E-06 Cat. 3 433 145.8 8-SI-1327-BB1-4 6.813 2.27E-06 Cat. 3 434 147.5 8-SI-1327-BB1-5 6.813 2.27E-06 Cat. 3 435 145.6 8-SI-1327-BB1-6 6.813 2.27E-06 Cat. 3 436 141.0 8-SI-1327-BB1-7 6.813 2.27E-06 Cat. 3 437 136.2 8-SI-1327-BB1-8 6.813 2.27E-06 Cat. 3 438 134.9 8-SI-1327-BB1-9 6.813 2.27E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 43 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 44 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
439 157.3 10-RH-1108-BB1-1 8.500 1.30E-06 Cat. 4 440 145.6 10-RH-1108-BB1-10 8.500 1.30E-06 Cat. 4 441 157.0 10-RH-1108-BB1-1A 8.500 1.30E-06 Cat. 4 442 156.9 10-RH-1108-BB1-2 8.500 1.30E-06 Cat. 4 443 156.8 10-RH-1108-BB1-3 8.500 1.30E-06 Cat. 4 444 156.6 10-RH-1108-BB1-4 8.500 1.30E-06 Cat. 4 445 156.6 10-RH-1108-BB1-5 8.500 1.30E-06 Cat. 4 446 156.7 10-RH-1108-BB1-6 8.500 1.30E-06 Cat. 4 447 156.1 10-RH-1108-BB1-7 8.500 1.30E-06 Cat. 4 448 144.8 10-RH-1108-BB1-8 8.500 1.30E-06 Cat. 4 449 145.1 10-RH-1108-BB1-9 8.500 1.30E-06 Cat. 4 450 158.4 10-RH-1208-BB1-1 8.500 1.30E-06 Cat. 4 451 147.0 10-RH-1208-BB1-10 8.500 1.30E-06 Cat. 4 452 147.9 10-RH-1208-BB1-11 8.500 1.30E-06 Cat. 4 453 158.2 10-RH-1208-BB1-2 8.500 1.30E-06 Cat. 4 454 158.1 10-RH-1208-BB1-3 8.500 1.30E-06 Cat. 4 455 157.5 10-RH-1208-BB1-4 8.500 1.30E-06 Cat. 4 456 157.2 10-RH-1208-BB1-5 8.500 1.30E-06 Cat. 4 457 157.3 10-RH-1208-BB1-6 8.500 1.30E-06 Cat. 4 458 156.5 10-RH-1208-BB1-7 8.500 1.30E-06 Cat. 4 459 146.8 10-RH-1208-BB1-8 8.500 1.30E-06 Cat. 4 460 146.5 10-RH-1208-BB1-9 8.500 1.30E-06 Cat. 4 461 152.9 10-RH-1308-BB1-1 8.500 1.30E-06 Cat. 4 462 158.4 10-RH-1308-BB1-2 8.500 1.30E-06 Cat. 4 463 158.5 10-RH-1308-BB1-3 8.500 1.30E-06 Cat. 4 464 158.4 10-RH-1308-BB1-4 8.500 1.30E-06 Cat. 4 465 158.6 10-RH-1308-BB1-5 8.500 1.30E-06 Cat. 4 466 157.8 10-RH-1308-BB1-6 8.500 1.30E-06 Cat. 4 467 157.7 10-RH-1308-BB1-7 8.500 1.30E-06 Cat. 4 468 157.3 10-RH-1308-BB1-8 8.500 1.30E-06 Cat. 4 469 94.8 12-RC-1112-BB1-1 10.126 9.75E-07 Cat. 4 470 126.3 12-RC-1112-BB1-10 10.126 9.75E-07 Cat. 4 471 126.1 12-RC-1112-BB1-11 10.126 9.75E-07 Cat. 4 472 105.5 12-RC-1112-BB1-2 10.126 9.75E-07 Cat. 4 473 112.0 12-RC-1112-BB1-3 10.126 9.75E-07 Cat. 4 474 116.1 12-RC-1112-BB1-4 10.126 9.75E-07 Cat. 4 475 118.2 12-RC-1112-BB1-5 10.126 9.75E-07 Cat. 4 476 114.8 12-RC-1112-BB1-6 10.126 9.75E-07 Cat. 4 477 112.5 12-RC-1112-BB1-7 10.126 9.75E-07 Cat. 4 478 113.5 12-RC-1112-BB1-8 10.126 9.75E-07 Cat. 4 479 123.3 12-RC-1112-BB1-9 10.126 9.75E-07 Cat. 4 480 143.3 12-RC-1125-BB1-1 10.126 9.75E-07 Cat. 4 481 63.4 12-RC-1125-BB1-10 10.126 9.75E-07 Cat. 4 482 60.1 12-RC-1125-BB1-11 10.126 9.75E-07 Cat. 4 483 65.9 12-RC-1125-BB1-12 10.126 9.75E-07 Cat. 4 484 90.7 12-RC-1125-BB1-13 10.126 9.75E-07 Cat. 4 continued next page...
Wednesday 29th April, 2015, 07:45 44 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 45 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
485 144.6 12-RC-1125-BB1-2 10.126 9.75E-07 Cat. 4 486 144.8 12-RC-1125-BB1-3 10.126 9.75E-07 Cat. 4 487 145.1 12-RC-1125-BB1-4 10.126 9.75E-07 Cat. 4 488 145.1 12-RC-1125-BB1-5 10.126 9.75E-07 Cat. 4 489 142.4 12-RC-1125-BB1-6 10.126 9.75E-07 Cat. 4 490 140.8 12-RC-1125-BB1-7 10.126 9.75E-07 Cat. 4 491 95.7 12-RC-1125-BB1-8 10.126 9.75E-07 Cat. 4 492 67.7 12-RC-1125-BB1-9 10.126 9.75E-07 Cat. 4 493 100.2 12-RC-1212-BB1-1 10.126 9.75E-07 Cat. 4 494 108.6 12-RC-1212-BB1-2 10.126 9.75E-07 Cat. 4 495 112.9 12-RC-1212-BB1-3 10.126 9.75E-07 Cat. 4 496 118.6 12-RC-1212-BB1-4 10.126 9.75E-07 Cat. 4 497 120.0 12-RC-1212-BB1-5 10.126 9.75E-07 Cat. 4 498 115.5 12-RC-1212-BB1-6 10.126 9.75E-07 Cat. 4 499 113.6 12-RC-1212-BB1-7 10.126 9.75E-07 Cat. 4 500 107.8 12-RC-1212-BB1-8 10.126 9.75E-07 Cat. 4 501 146.4 12-RC-1221-BB1-1 10.126 9.75E-07 Cat. 4 502 64.1 12-RC-1221-BB1-10 10.126 9.75E-07 Cat. 4 503 54.5 12-RC-1221-BB1-11 10.126 9.75E-07 Cat. 4 504 62.7 12-RC-1221-BB1-12 10.126 9.75E-07 Cat. 4 505 68.5 12-RC-1221-BB1-13 10.126 9.75E-07 Cat. 4 506 94.2 12-RC-1221-BB1-14 10.126 9.75E-07 Cat. 4 507 147.3 12-RC-1221-BB1-2 10.126 9.75E-07 Cat. 4 508 146.9 12-RC-1221-BB1-3 10.126 9.75E-07 Cat. 4 509 145.8 12-RC-1221-BB1-4 10.126 9.75E-07 Cat. 4 510 144.3 12-RC-1221-BB1-5 10.126 9.75E-07 Cat. 4 511 142.3 12-RC-1221-BB1-6 10.126 9.75E-07 Cat. 4 512 141.0 12-RC-1221-BB1-7 10.126 9.75E-07 Cat. 4 513 100.5 12-RC-1221-BB1-8 10.126 9.75E-07 Cat. 4 514 67.8 12-RC-1221-BB1-9 10.126 9.75E-07 Cat. 4 515 99.9 12-RC-1312-BB1-1 10.126 9.75E-07 Cat. 4 516 119.3 12-RC-1312-BB1-10 10.126 9.75E-07 Cat. 4 517 120.0 12-RC-1312-BB1-11 10.126 9.75E-07 Cat. 4 518 108.1 12-RC-1312-BB1-2 10.126 9.75E-07 Cat. 4 519 112.5 12-RC-1312-BB1-3 10.126 9.75E-07 Cat. 4 520 118.1 12-RC-1312-BB1-4 10.126 9.75E-07 Cat. 4 521 119.6 12-RC-1312-BB1-5 10.126 9.75E-07 Cat. 4 522 115.0 12-RC-1312-BB1-6 10.126 9.75E-07 Cat. 4 523 113.4 12-RC-1312-BB1-7 10.126 9.75E-07 Cat. 4 524 103.4 12-RC-1312-BB1-8 10.126 9.75E-07 Cat. 4 525 117.5 12-RC-1312-BB1-9 10.126 9.75E-07 Cat. 4 526 61.0 12-RC-1322-BB1-1 10.126 9.75E-07 Cat. 4 527 61.1 12-RC-1322-BB1-1A 10.126 9.75E-07 Cat. 4 528 65.4 12-RC-1322-BB1-2 10.126 9.75E-07 Cat. 4 529 70.3 12-RC-1322-BB1-3 10.126 9.75E-07 Cat. 4 530 94.6 12-RC-1322-BB1-4 10.126 9.75E-07 Cat. 4 continued next page...
Wednesday 29th April, 2015, 07:45 45 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 46 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
531 125.4 12-RH-1101-BB1-1 10.126 9.75E-07 Cat. 4 532 147.3 12-RH-1101-BB1-10 10.126 9.75E-07 Cat. 4 533 148.4 12-RH-1101-BB1-11 10.126 9.75E-07 Cat. 4 534 152.6 12-RH-1101-BB1-12 10.126 9.75E-07 Cat. 4 535 148.8 12-RH-1101-BB1-13 10.126 9.75E-07 Cat. 4 536 151.7 12-RH-1101-BB1-14 10.126 9.75E-07 Cat. 4 537 151.9 12-RH-1101-BB1-15 10.126 9.75E-07 Cat. 4 538 150.9 12-RH-1101-BB1-16 10.126 9.75E-07 Cat. 4 539 128.7 12-RH-1101-BB1-2 10.126 9.75E-07 Cat. 4 540 127.5 12-RH-1101-BB1-3 10.126 9.75E-07 Cat. 4 541 109.5 12-RH-1101-BB1-3A 10.126 9.75E-07 Cat. 4 542 112.3 12-RH-1101-BB1-4 10.126 9.75E-07 Cat. 4 543 121.2 12-RH-1101-BB1-5 10.126 9.75E-07 Cat. 4 544 122.0 12-RH-1101-BB1-6 10.126 9.75E-07 Cat. 4 545 121.5 12-RH-1101-BB1-7 10.126 9.75E-07 Cat. 4 546 127.8 12-RH-1101-BB1-8 10.126 9.75E-07 Cat. 4 547 148.7 12-RH-1101-BB1-9 10.126 9.75E-07 Cat. 4 548 113.8 12-RH-1201-BB1-1 10.126 9.75E-07 Cat. 4 549 124.0 12-RH-1201-BB1-10 10.126 9.75E-07 Cat. 4 550 145.9 12-RH-1201-BB1-11 10.126 9.75E-07 Cat. 4 551 147.7 12-RH-1201-BB1-12 10.126 9.75E-07 Cat. 4 552 148.1 12-RH-1201-BB1-13 10.126 9.75E-07 Cat. 4 553 151.0 12-RH-1201-BB1-14 10.126 9.75E-07 Cat. 4 554 153.7 12-RH-1201-BB1-15 10.126 9.75E-07 Cat. 4 555 153.4 12-RH-1201-BB1-16 10.126 9.75E-07 Cat. 4 556 152.8 12-RH-1201-BB1-17 10.126 9.75E-07 Cat. 4 557 118.7 12-RH-1201-BB1-2 10.126 9.75E-07 Cat. 4 558 122.5 12-RH-1201-BB1-3 10.126 9.75E-07 Cat. 4 559 123.1 12-RH-1201-BB1-4 10.126 9.75E-07 Cat. 4 560 122.6 12-RH-1201-BB1-5 10.126 9.75E-07 Cat. 4 561 108.3 12-RH-1201-BB1-6 10.126 9.75E-07 Cat. 4 562 117.8 12-RH-1201-BB1-7 10.126 9.75E-07 Cat. 4 563 118.5 12-RH-1201-BB1-8 10.126 9.75E-07 Cat. 4 564 117.3 12-RH-1201-BB1-9 10.126 9.75E-07 Cat. 4 565 123.3 12-RH-1301-BB1-1 10.126 9.75E-07 Cat. 4 566 150.8 12-RH-1301-BB1-10 10.126 9.75E-07 Cat. 4 567 125.6 12-RH-1301-BB1-2 10.126 9.75E-07 Cat. 4 568 125.8 12-RH-1301-BB1-3 10.126 9.75E-07 Cat. 4 569 123.5 12-RH-1301-BB1-4 10.126 9.75E-07 Cat. 4 570 127.4 12-RH-1301-BB1-5 10.126 9.75E-07 Cat. 4 571 149.1 12-RH-1301-BB1-5A 10.126 9.75E-07 Cat. 4 572 148.8 12-RH-1301-BB1-6 10.126 9.75E-07 Cat. 4 573 148.9 12-RH-1301-BB1-7 10.126 9.75E-07 Cat. 4 574 150.4 12-RH-1301-BB1-8 10.126 9.75E-07 Cat. 4 575 150.8 12-RH-1301-BB1-9 10.126 9.75E-07 Cat. 4 576 146.8 12-SI-1125-BB1-1 10.126 9.75E-07 Cat. 4 continued next page...
Wednesday 29th April, 2015, 07:45 46 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 47 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
577 144.5 12-SI-1125-BB1-2 10.126 9.75E-07 Cat. 4 578 144.0 12-SI-1125-BB1-3 10.126 9.75E-07 Cat. 4 579 143.9 12-SI-1125-BB1-4 10.126 9.75E-07 Cat. 4 580 149.3 12-SI-1218-BB1-1 10.126 9.75E-07 Cat. 4 581 147.2 12-SI-1218-BB1-2 10.126 9.75E-07 Cat. 4 582 146.6 12-SI-1218-BB1-3 10.126 9.75E-07 Cat. 4 583 146.4 12-SI-1218-BB1-4 10.126 9.75E-07 Cat. 4 584 156.3 12-SI-1315-BB1-1 10.126 9.75E-07 Cat. 4 585 70.7 12-SI-1315-BB1-10 10.126 9.75E-07 Cat. 4 586 155.8 12-SI-1315-BB1-2 10.126 9.75E-07 Cat. 4 587 155.2 12-SI-1315-BB1-3 10.126 9.75E-07 Cat. 4 588 155.3 12-SI-1315-BB1-4 10.126 9.75E-07 Cat. 4 589 155.5 12-SI-1315-BB1-5 10.126 9.75E-07 Cat. 4 590 117.8 12-SI-1315-BB1-6 10.126 9.75E-07 Cat. 4 591 91.1 12-SI-1315-BB1-7 10.126 9.75E-07 Cat. 4 592 79.2 12-SI-1315-BB1-8 10.126 9.75E-07 Cat. 4 593 74.7 12-SI-1315-BB1-9 10.126 9.75E-07 Cat. 4 594 116.2 27.5-RC-1103-NSS-4 10.126 9.75E-07 Cat. 4 595 105.5 27.5-RC-1203-NSS-3 10.126 9.75E-07 Cat. 4 596 104.6 27.5-RC-1303-NSS-3 10.126 9.75E-07 Cat. 4 597 93.4 29-RC-1101-NSS-3 10.126 9.75E-07 Cat. 4 598 95.8 29-RC-1201-NSS-3 10.126 9.75E-07 Cat. 4 599 96.4 29-RC-1301-NSS-3 10.126 9.75E-07 Cat. 4 600 97.4 16-RC-1412-NSS-1 12.814 4.37E-07 Cat. 4 601 147.9 16-RC-1412-NSS-3 12.814 4.37E-07 Cat. 4 602 150.9 16-RC-1412-NSS-4 12.814 4.37E-07 Cat. 4 603 77.8 16-RC-1412-NSS-5 12.814 4.37E-07 Cat. 4 604 59.0 16-RC-1412-NSS-6 12.814 4.37E-07 Cat. 4 605 48.3 16-RC-1412-NSS-7 12.814 4.37E-07 Cat. 4 606 21.4 16-RC-1412-NSS-9 12.814 4.37E-07 Cat. 4 607 96.5 16-RC-1412-NSS-PRZ-1-N1-SE 12.814 4.37E-07 Cat. 4 608 22.6 29-RC-1401-NSS-2 12.814 4.37E-07 Cat. 4 609 49.4 27.5-RC-1103-NSS-6 27.500 6.42E-08 Cat. 5 610 50.4 27.5-RC-1103-NSS-7 27.500 6.42E-08 Cat. 5 611 48.3 27.5-RC-1103-NSS-RPV1-N2ASE 27.500 6.42E-08 Cat. 5 612 50.6 27.5-RC-1203-NSS-4 27.500 6.42E-08 Cat. 5 613 51.1 27.5-RC-1203-NSS-5 27.500 6.42E-08 Cat. 5 614 50.5 27.5-RC-1203-NSS-RPV1-N2BSE 27.500 6.42E-08 Cat. 5 615 67.0 27.5-RC-1303-NSS-5 27.500 6.42E-08 Cat. 5 616 64.2 27.5-RC-1303-NSS-6 27.500 6.42E-08 Cat. 5 617 63.6 27.5-RC-1303-NSS-RPV1-N2CSE 27.500 6.42E-08 Cat. 5 618 74.3 27.5-RC-1403-NSS-5 27.500 6.42E-08 Cat. 5 619 69.4 27.5-RC-1403-NSS-6 27.500 6.42E-08 Cat. 5 620 68.3 27.5-RC-1403-NSS-RPV1-N2DSE 27.500 6.42E-08 Cat. 5 621 25.2 29-RC-1101-NSS-1 29.000 4.91E-08 Cat. 5 622 23.6 29-RC-1101-NSS-RPV1-N1ASE 29.000 4.91E-08 Cat. 5 continued next page...
Wednesday 29th April, 2015, 07:45 47 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 48 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
623 22.3 29-RC-1201-NSS-1 29.000 4.91E-08 Cat. 5 624 19.3 29-RC-1201-RPV1-N1BSE 29.000 4.91E-08 Cat. 5 625 23.8 29-RC-1301-NSS-1 29.000 4.91E-08 Cat. 5 626 21.5 29-RC-1301-RPV1-N1CSE 29.000 4.91E-08 Cat. 5 627 23.8 29-RC-1401-NSS-1 29.000 4.91E-08 Cat. 5 628 20.9 29-RC-1401-NSS-RPV1-N1DSE 29.000 4.91E-08 Cat. 5 Table 14: Single train data for weld locations in the risk-informed category listing the ith weld number, mass of "ber in the sump for the scenario (lbm), location name (ID), Break size (Size), scenario frequency, fi (mean quantile, geometric aggregation), and NUREG 1829 data category No.
Amount (lbm)
Location Size (in) fi NUREG 1829 Cat.
1 95.96 29-RC-1301-RSG-1C-IN-SE 9.28 1.14E-06 Cat. 4 2
96.13 29-RC-1101-NSS-5.1 9.31 1.14E-06 Cat. 4 3
96.83 29-RC-1101-NSS-RSG-1A-IN-SE 9.33 1.13E-06 Cat. 4 4
96.17 29-RC-1201-RSG-1B-IN-SE 9.35 1.13E-06 Cat. 4 5
96.74 29-RC-1301-NSS-5.1 9.35 1.13E-06 Cat. 4 6
95.99 29-RC-1201-NSS-5.1 9.35 1.13E-06 Cat. 4 7
96.34 29-RC-1401-NSS-RSG-1D-IN-SE 9.38 1.12E-06 Cat. 4 8
96.55 29-RC-1401-NSS-4.1 9.41 1.12E-06 Cat. 4 9
95.96 31-RC-1102-NSS-RSG-1A-ON-SE 9.81 1.04E-06 Cat. 4 10 96.35 31-RC-1202-NSS-1.1 9.86 1.03E-06 Cat. 4 11 96.66 31-RC-1102-NSS-1.1 9.86 1.03E-06 Cat. 4 12 96.48 31-RC-1202-NSS-RSG-1B-ON-SE 9.87 1.03E-06 Cat. 4 13 96.13 31-RC-1202-NSS-2 10.03 9.94E-07 Cat. 4 14 95.97 31-RC-1302-NSS-1.1 10.10 9.80E-07 Cat. 4 15 96.07 31-RC-1302-NSS-RSG-1C-ON-SE 10.11 9.79E-07 Cat. 4 17 96.26 12-RC-1112-BB1-1 10.13 9.75E-07 Cat. 4 18 96.96 12-RC-1125-BB1-10 10.13 9.75E-07 Cat. 4 19 128.39 12-RC-1125-BB1-11 10.13 9.75E-07 Cat. 4 20 131.64 12-RC-1125-BB1-12 10.13 9.75E-07 Cat. 4 21 125.93 12-RC-1125-BB1-13 10.13 9.75E-07 Cat. 4 22 101.10 12-RC-1125-BB1-8 10.13 9.75E-07 Cat. 4 23 96.07 12-RC-1125-BB1-9 10.13 9.75E-07 Cat. 4 24 124.08 12-RC-1221-BB1-10 10.13 9.75E-07 Cat. 4 25 127.70 12-RC-1221-BB1-11 10.13 9.75E-07 Cat. 4 26 137.30 12-RC-1221-BB1-12 10.13 9.75E-07 Cat. 4 27 129.09 12-RC-1221-BB1-13 10.13 9.75E-07 Cat. 4 28 123.32 12-RC-1221-BB1-14 10.13 9.75E-07 Cat. 4 29 97.57 12-RC-1221-BB1-9 10.13 9.75E-07 Cat. 4 30 123.96 12-RC-1322-BB1-1 10.13 9.75E-07 Cat. 4 31 130.82 12-RC-1322-BB1-1A 10.13 9.75E-07 Cat. 4 32 130.73 12-RC-1322-BB1-2 10.13 9.75E-07 Cat. 4 33 126.33 12-RC-1322-BB1-3 10.13 9.75E-07 Cat. 4 34 121.46 12-RC-1322-BB1-4 10.13 9.75E-07 Cat. 4 continued next page...
Wednesday 29th April, 2015, 07:45 48 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 49 of 173 pages
... continued No.
Amount (lbm)
Location Size (in) fi NUREG 1829 Cat.
35 97.21 12-SI-1315-BB1-10 10.13 9.75E-07 Cat. 4 36 121.12 12-SI-1315-BB1-7 10.13 9.75E-07 Cat. 4 37 100.67 12-SI-1315-BB1-8 10.13 9.75E-07 Cat. 4 38 112.56 12-SI-1315-BB1-9 10.13 9.75E-07 Cat. 4 39 117.11 29-RC-1101-NSS-3 10.13 9.75E-07 Cat. 4 40 98.43 29-RC-1201-NSS-3 10.13 9.75E-07 Cat. 4 16 96.01 31-RC-1102-NSS-2 10.13 9.75E-07 Cat. 4 41 96.35 16-RC-1412-NSS-8 10.21 9.59E-07 Cat. 4 42 96.44 31-RC-1302-NSS-2 10.30 9.40E-07 Cat. 4 43 95.90 29-RC-1101-NSS-4 10.45 9.10E-07 Cat. 4 44 96.00 31-RC-1402-NSS-1.1 10.50 9.00E-07 Cat. 4 45 96.14 31-RC-1402-NSS-RSG-1D-ON-SE 10.51 8.98E-07 Cat. 4 46 96.07 29-RC-1401-NSS-3 10.63 8.75E-07 Cat. 4 47 96.14 29-RC-1301-NSS-4 10.63 8.74E-07 Cat. 4 48 96.38 29-RC-1201-NSS-4 10.67 8.67E-07 Cat. 4 49 96.05 31-RC-1402-NSS-2 11.08 7.83E-07 Cat. 4 50 95.97 31-RC-1202-NSS-3 11.15 7.71E-07 Cat. 4 51 96.37 16-RC-1412-NSS-9 11.17 7.66E-07 Cat. 4 52 95.99 29-RC-1401-NSS-2 11.17 7.66E-07 Cat. 4 53 95.90 31-RC-1302-NSS-3 11.31 7.38E-07 Cat. 4 54 96.15 31-RC-1102-NSS-3 11.39 7.22E-07 Cat. 4 55 95.98 31-RC-1202-NSS-4 11.50 7.00E-07 Cat. 4 56 95.90 31-RC-1102-NSS-4 11.62 6.76E-07 Cat. 4 57 95.93 31-RC-1302-NSS-4 11.74 6.52E-07 Cat. 4 58 96.08 31-RC-1202-NSS-8 11.76 6.49E-07 Cat. 4 59 95.91 31-RC-1102-NSS-8 11.90 6.19E-07 Cat. 4 60 95.92 31-RC-1302-NSS-8 12.30 5.40E-07 Cat. 4 61 96.05 31-RC-1402-NSS-3 12.43 5.14E-07 Cat. 4 62 95.92 31-RC-1202-NSS-9 12.56 4.88E-07 Cat. 4 63 95.95 27.5-RC-1103-NSS-1 12.75 4.50E-07 Cat. 4 64 113.96 16-RC-1412-NSS-5 12.81 4.37E-07 Cat. 4 65 132.76 16-RC-1412-NSS-6 12.81 4.37E-07 Cat. 4 66 143.52 16-RC-1412-NSS-7 12.81 4.37E-07 Cat. 4 67 95.90 27.5-RC-1203-NSS-1 12.82 4.36E-07 Cat. 4 68 95.94 31-RC-1102-NSS-9 12.83 4.34E-07 Cat. 4 69 96.03 31-RC-1402-NSS-4 13.26 3.48E-07 Cat. 4 70 95.95 27.5-RC-1303-NSS-1 13.68 2.64E-07 Cat. 4 71 95.93 31-RC-1302-NSS-9 13.95 2.10E-07 Cat. 4 72 97.33 31-RC-1402-NSS-8 14.45 1.10E-07 Cat. 4 73 96.02 27.5-RC-1403-NSS-1 14.72 5.62E-08 Cat. 4 74 97.16 31-RC-1402-NSS-9 16.33 1.77E-07 Cat. 5 75 142.33 27.5-RC-1103-NSS-6 27.50 6.42E-08 Cat. 5 76 141.38 27.5-RC-1103-NSS-7 27.50 6.42E-08 Cat. 5 77 143.44 27.5-RC-1103-NSS-RPV1-N2ASE 27.50 6.42E-08 Cat. 5 78 141.23 27.5-RC-1203-NSS-4 27.50 6.42E-08 Cat. 5 79 140.65 27.5-RC-1203-NSS-5 27.50 6.42E-08 Cat. 5 80 141.24 27.5-RC-1203-NSS-RPV1-N2BSE 27.50 6.42E-08 Cat. 5 continued next page...
Wednesday 29th April, 2015, 07:45 49 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 50 of 173 pages
... continued No.
Amount (lbm)
Location Size (in) fi NUREG 1829 Cat.
81 124.75 27.5-RC-1303-NSS-5 27.50 6.42E-08 Cat. 5 82 127.56 27.5-RC-1303-NSS-6 27.50 6.42E-08 Cat. 5 83 128.16 27.5-RC-1303-NSS-RPV1-N2CSE 27.50 6.42E-08 Cat. 5 84 117.48 27.5-RC-1403-NSS-5 27.50 6.42E-08 Cat. 5 85 122.40 27.5-RC-1403-NSS-6 27.50 6.42E-08 Cat. 5 86 123.45 27.5-RC-1403-NSS-RPV1-N2DSE 27.50 6.42E-08 Cat. 5 87 166.58 29-RC-1101-NSS-1 29.00 4.91E-08 Cat. 5 88 168.16 29-RC-1101-NSS-RPV1-N1ASE 29.00 4.91E-08 Cat. 5 89 169.49 29-RC-1201-NSS-1 29.00 4.91E-08 Cat. 5 90 172.48 29-RC-1201-RPV1-N1BSE 29.00 4.91E-08 Cat. 5 91 167.99 29-RC-1301-NSS-1 29.00 4.91E-08 Cat. 5 92 170.23 29-RC-1301-RPV1-N1CSE 29.00 4.91E-08 Cat. 5 93 168.01 29-RC-1401-NSS-1 29.00 4.91E-08 Cat. 5 94 170.85 29-RC-1401-NSS-RPV1-N1DSE 29.00 4.91E-08 Cat. 5 Table 15: Single train DEGB data (largest break size) for weld locations in the deterministic category showing listing the ith weld number, the margin to the mass of "ber in the sump produced to the tested amount (lbm), location name, Break size (Size), scenario DEGB frequency, fi (mean quantile, geometric aggregation), and NUREG 1829 data category No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
95 67.3 0.75-CV-1122-BB1-1 0.614 1.75E-03 Cat. 1 96 67.3 0.75-CV-1122-BB1-2 0.614 1.75E-03 Cat. 1 97 67.4 0.75-CV-1124-BB1-1 0.614 1.75E-03 Cat. 1 98 67.4 0.75-CV-1124-BB1-2 0.614 1.75E-03 Cat. 1 99 67.4 0.75-CV-1126-BB1-1 0.614 1.75E-03 Cat. 1 100 67.2 0.75-CV-1126-BB1-2 0.614 1.75E-03 Cat. 1 101 67.4 0.75-CV-1128-BB1-1 0.614 1.75E-03 Cat. 1 102 67.4 0.75-CV-1128-BB1-2 0.614 1.75E-03 Cat. 1 103 67.2 0.75-RC-1001-BB1-1 0.614 1.75E-03 Cat. 1 104 67.1 0.75-RC-1002-BB2-1 0.614 1.75E-03 Cat. 1 105 67.1 0.75-RC-1112-BB1-1 0.614 1.75E-03 Cat. 1 106 67.0 0.75-RC-1114-BB1-1 0.614 1.75E-03 Cat. 1 107 67.1 0.75-RC-1125-BB1-1 0.614 1.75E-03 Cat. 1 108 67.0 0.75-RC-1125-BB1-2 0.614 1.75E-03 Cat. 1 109 67.1 0.75-RC-1126-BB1-1 0.614 1.75E-03 Cat. 1 110 67.1 0.75-RC-1212-BB1-1 0.614 1.75E-03 Cat. 1 111 67.0 0.75-RC-1214-BB1-1 0.614 1.75E-03 Cat. 1 112 67.1 0.75-RC-1221-BB1-1 0.614 1.75E-03 Cat. 1 113 67.1 0.75-RC-1221-BB1-2 0.614 1.75E-03 Cat. 1 114 67.1 0.75-RC-1312-BB1-1 0.614 1.75E-03 Cat. 1 115 67.0 0.75-RC-1324-BB1-1 0.614 1.75E-03 Cat. 1 116 67.1 0.75-RC-1423-BB1-1 0.614 1.75E-03 Cat. 1 117 67.2 0.75-SI-1130-BB2-1 0.614 1.75E-03 Cat. 1 118 67.2 0.75-SI-1132-BB1-1 0.614 1.75E-03 Cat. 1 continued next page...
Wednesday 29th April, 2015, 07:45 50 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 51 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
119 67.2 0.75-SI-1218-BB1-1 0.614 1.75E-03 Cat. 1 120 67.2 0.75-SI-1223-BB2-1 0.614 1.75E-03 Cat. 1 121 67.0 0.75-SI-1315-BB1-1 0.614 1.75E-03 Cat. 1 122 67.3 0.75-SI-1323-BB1-1 0.614 1.75E-03 Cat. 1 123 67.2 0.75-SI-1327-BB1-1 0.614 1.75E-03 Cat. 1 124 67.2 0.75-SI-1327-BB1-2 0.614 1.75E-03 Cat. 1 125 67.2 0.75-SI-1327-BB1-3 0.614 1.75E-03 Cat. 1 126 67.2 0.75-SI-1328-BB2-1 0.614 1.75E-03 Cat. 1 127 66.8 1-RC-1003-BB1-1 0.815 1.49E-03 Cat. 1 128 67.1 1-RC-1123-BB1-1 0.815 1.49E-03 Cat. 1 129 67.0 1-RC-1422-BB1-1 0.815 1.49E-03 Cat. 1 130 65.7 1.5-RC-1412-NSS-1 1.338 7.98E-04 Cat. 1 131 67.3 2(1.5)-CV-1122-BB1-1 1.338 7.98E-04 Cat. 1 132 67.1 2(1.5)-CV-1122-BB1-2 1.338 7.98E-04 Cat. 1 133 67.3 2(1.5)-CV-1124-BB1-1 1.338 7.98E-04 Cat. 1 134 67.0 2(1.5)-CV-1124-BB1-2 1.338 7.98E-04 Cat. 1 135 66.9 2(1.5)-CV-1126-BB1-1 1.338 7.98E-04 Cat. 1 136 66.9 2(1.5)-CV-1126-BB1-2 1.338 7.98E-04 Cat. 1 137 67.1 2(1.5)-CV-1128-BB1-1 1.338 7.98E-04 Cat. 1 138 66.9 2(1.5)-CV-1128-BB1-2 1.338 7.98E-04 Cat. 1 139 67.2 2-CV-1121-BB1-1 1.689 4.01E-04 Cat. 2 140 66.9 2-CV-1121-BB1-2 1.689 4.01E-04 Cat. 2 141 66.8 2-CV-1121-BB1-3 1.689 4.01E-04 Cat. 2 142 66.6 2-CV-1122-BB1-1 1.689 4.01E-04 Cat. 2 143 66.7 2-CV-1122-BB1-2 1.689 4.01E-04 Cat. 2 144 66.7 2-CV-1122-BB1-3 1.689 4.01E-04 Cat. 2 145 66.7 2-CV-1122-BB1-4 1.689 4.01E-04 Cat. 2 146 66.7 2-CV-1122-BB1-5 1.689 4.01E-04 Cat. 2 147 67.0 2-CV-1122-BB1-6 1.689 4.01E-04 Cat. 2 148 66.7 2-CV-1124-BB1-1 1.689 4.01E-04 Cat. 2 149 66.6 2-CV-1124-BB1-10 1.689 4.01E-04 Cat. 2 150 66.6 2-CV-1124-BB1-11 1.689 4.01E-04 Cat. 2 151 67.1 2-CV-1124-BB1-12 1.689 4.01E-04 Cat. 2 152 67.0 2-CV-1124-BB1-13 1.689 4.01E-04 Cat. 2 153 66.7 2-CV-1124-BB1-2 1.689 4.01E-04 Cat. 2 154 66.7 2-CV-1124-BB1-3 1.689 4.01E-04 Cat. 2 155 66.6 2-CV-1124-BB1-4 1.689 4.01E-04 Cat. 2 156 66.6 2-CV-1124-BB1-5 1.689 4.01E-04 Cat. 2 157 66.7 2-CV-1124-BB1-6 1.689 4.01E-04 Cat. 2 158 66.8 2-CV-1124-BB1-7 1.689 4.01E-04 Cat. 2 159 66.7 2-CV-1124-BB1-8 1.689 4.01E-04 Cat. 2 160 66.7 2-CV-1124-BB1-9 1.689 4.01E-04 Cat. 2 161 67.2 2-CV-1126-BB1-1 1.689 4.01E-04 Cat. 2 162 66.5 2-CV-1126-BB1-10 1.689 4.01E-04 Cat. 2 163 66.6 2-CV-1126-BB1-11 1.689 4.01E-04 Cat. 2 164 67.2 2-CV-1126-BB1-2 1.689 4.01E-04 Cat. 2 continued next page...
Wednesday 29th April, 2015, 07:45 51 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 52 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
165 67.1 2-CV-1126-BB1-3 1.689 4.01E-04 Cat. 2 166 67.0 2-CV-1126-BB1-4 1.689 4.01E-04 Cat. 2 167 67.0 2-CV-1126-BB1-5 1.689 4.01E-04 Cat. 2 168 67.0 2-CV-1126-BB1-6 1.689 4.01E-04 Cat. 2 169 66.9 2-CV-1126-BB1-7 1.689 4.01E-04 Cat. 2 170 66.0 2-CV-1126-BB1-8 1.689 4.01E-04 Cat. 2 171 65.9 2-CV-1126-BB1-9 1.689 4.01E-04 Cat. 2 172 67.4 2-CV-1128-BB1-1 1.689 4.01E-04 Cat. 2 173 67.2 2-CV-1128-BB1-2 1.689 4.01E-04 Cat. 2 174 67.1 2-CV-1128-BB1-3 1.689 4.01E-04 Cat. 2 175 67.1 2-CV-1128-BB1-3A 1.689 4.01E-04 Cat. 2 176 67.0 2-CV-1128-BB1-3B 1.689 4.01E-04 Cat. 2 177 67.0 2-CV-1128-BB1-4 1.689 4.01E-04 Cat. 2 178 67.0 2-CV-1128-BB1-5 1.689 4.01E-04 Cat. 2 179 67.1 2-CV-1128-BB1-6 1.689 4.01E-04 Cat. 2 180 66.9 2-CV-1128-BB1-7 1.689 4.01E-04 Cat. 2 181 66.9 2-CV-1141-BB1-1 1.689 4.01E-04 Cat. 2 182 67.1 2-CV-1141-BB1-2 1.689 4.01E-04 Cat. 2 183 66.8 2-RC-1003-BB1-1 1.689 4.01E-04 Cat. 2 184 66.5 2-RC-1003-BB1-2 1.689 4.01E-04 Cat. 2 185 66.1 2-RC-1120-BB1-1 1.689 4.01E-04 Cat. 2 186 66.3 2-RC-1120-BB1-2 1.689 4.01E-04 Cat. 2 187 65.7 2-RC-1121-BB1-1 1.689 4.01E-04 Cat. 2 188 66.8 2-RC-1121-BB1-2 1.689 4.01E-04 Cat. 2 189 66.8 2-RC-1121-BB1-3 1.689 4.01E-04 Cat. 2 190 66.8 2-RC-1121-BB1-3A 1.689 4.01E-04 Cat. 2 191 66.9 2-RC-1121-BB1-3B 1.689 4.01E-04 Cat. 2 192 67.0 2-RC-1121-BB1-4 1.689 4.01E-04 Cat. 2 193 66.0 2-RC-1219-BB1-1 1.689 4.01E-04 Cat. 2 194 66.2 2-RC-1219-BB1-2 1.689 4.01E-04 Cat. 2 195 65.7 2-RC-1220-BB1-1 1.689 4.01E-04 Cat. 2 196 66.9 2-RC-1220-BB1-2 1.689 4.01E-04 Cat. 2 197 66.9 2-RC-1220-BB1-3 1.689 4.01E-04 Cat. 2 198 67.0 2-RC-1220-BB1-4 1.689 4.01E-04 Cat. 2 199 65.9 2-RC-1319-BB1-1 1.689 4.01E-04 Cat. 2 200 66.3 2-RC-1319-BB1-2 1.689 4.01E-04 Cat. 2 201 66.3 2-RC-1321-BB1-1 1.689 4.01E-04 Cat. 2 202 66.5 2-RC-1321-BB1-4 1.689 4.01E-04 Cat. 2 203 66.5 2-RC-1321-BB1-5 1.689 4.01E-04 Cat. 2 204 66.6 2-RC-1321-BB1-6 1.689 4.01E-04 Cat. 2 205 66.1 2-RC-1417-BB1-1 1.689 4.01E-04 Cat. 2 206 66.3 2-RC-1417-BB1-2 1.689 4.01E-04 Cat. 2 207 65.7 2-RC-1418-BB1-1 1.689 4.01E-04 Cat. 2 208 66.3 2-RC-1418-BB1-2 1.689 4.01E-04 Cat. 2 209 66.4 2-RC-1418-BB1-3 1.689 4.01E-04 Cat. 2 210 66.4 2-RC-1418-BB1-4 1.689 4.01E-04 Cat. 2 continued next page...
Wednesday 29th April, 2015, 07:45 52 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 53 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
211 66.6 2-RC-1418-BB1-5 1.689 4.01E-04 Cat. 2 212 66.7 2-RC-1418-BB1-6 1.689 4.01E-04 Cat. 2 213 66.4 2-RC-1419-BB1-1 1.689 4.01E-04 Cat. 2 214 66.6 2-RC-1419-BB1-2 1.689 4.01E-04 Cat. 2 215 66.6 2-RC-1419-BB1-3 1.689 4.01E-04 Cat. 2 216 66.9 2-RC-1419-BB1-4 1.689 4.01E-04 Cat. 2 217 65.9 31-RC-1102-NSS-5 1.689 4.01E-04 Cat. 2 218 65.6 31-RC-1102-NSS-6 1.689 4.01E-04 Cat. 2 219 65.9 31-RC-1202-NSS-5 1.689 4.01E-04 Cat. 2 220 65.5 31-RC-1202-NSS-7 1.689 4.01E-04 Cat. 2 221 65.8 31-RC-1302-NSS-5 1.689 4.01E-04 Cat. 2 222 65.9 31-RC-1402-NSS-5 1.689 4.01E-04 Cat. 2 223 65.6 31-RC-1402-NSS-7 1.689 4.01E-04 Cat. 2 224 65.5 2.5-RC-1003-BB1-1 2.125 2.73E-04 Cat. 2 225 65.6 2.5-RC-1003-BB1-2 2.125 2.73E-04 Cat. 2 226 65.7 2.5-RC-1003-BB1-3 2.125 2.73E-04 Cat. 2 227 65.7 2.5-RC-1003-BB1-4 2.125 2.73E-04 Cat. 2 228 65.7 2.5-RC-1003-BB1-5 2.125 2.73E-04 Cat. 2 229 65.8 2.5-RC-1003-BB1-6 2.125 2.73E-04 Cat. 2 230 63.0 31-RC-1102-NSS-7 2.626 1.26E-04 Cat. 2 231 63.0 31-RC-1202-NSS-6 2.626 1.26E-04 Cat. 2 232 63.0 31-RC-1302-NSS-6 2.626 1.26E-04 Cat. 2 233 63.0 31-RC-1402-NSS-6 2.626 1.26E-04 Cat. 2 234 65.2 3-RC-1003-BB1-1 2.626 1.26E-04 Cat. 2 235 65.3 3-RC-1003-BB1-2 2.626 1.26E-04 Cat. 2 236 65.3 3-RC-1015-NSS-1 2.626 1.26E-04 Cat. 2 237 64.7 3-RC-1015-NSS-10 2.626 1.26E-04 Cat. 2 238 64.8 3-RC-1015-NSS-11 2.626 1.26E-04 Cat. 2 239 65.3 3-RC-1015-NSS-12 2.626 1.26E-04 Cat. 2 240 66.0 3-RC-1015-NSS-13 2.626 1.26E-04 Cat. 2 241 67.1 3-RC-1015-NSS-14 2.626 1.26E-04 Cat. 2 242 67.2 3-RC-1015-NSS-15 2.626 1.26E-04 Cat. 2 243 66.2 3-RC-1015-NSS-16 2.626 1.26E-04 Cat. 2 244 65.5 3-RC-1015-NSS-2 2.626 1.26E-04 Cat. 2 245 65.7 3-RC-1015-NSS-3 2.626 1.26E-04 Cat. 2 246 66.3 3-RC-1015-NSS-4 2.626 1.26E-04 Cat. 2 247 66.8 3-RC-1015-NSS-5 2.626 1.26E-04 Cat. 2 248 67.3 3-RC-1015-NSS-6 2.626 1.26E-04 Cat. 2 249 67.4 3-RC-1015-NSS-7 2.626 1.26E-04 Cat. 2 250 67.4 3-RC-1015-NSS-8 2.626 1.26E-04 Cat. 2 251 64.7 3-RC-1015-NSS-9 2.626 1.26E-04 Cat. 2 252 63.7 3-RC-1106-BB1-25 2.626 1.26E-04 Cat. 2 253 63.7 3-RC-1206-BB1-28 2.626 1.26E-04 Cat. 2 254 63.7 3-RC-1306-BB1-28 2.626 1.26E-04 Cat. 2 255 63.8 3-RC-1406-BB1-25 2.626 1.26E-04 Cat. 2 256 57.9 27.5-RC-1103-NSS-3 3.438 1.44E-05 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 53 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 54 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
257 59.7 27.5-RC-1103-NSS-5 3.438 1.44E-05 Cat. 3 258 60.3 27.5-RC-1303-NSS-4 3.438 1.44E-05 Cat. 3 259 59.3 27.5-RC-1403-NSS-3 3.438 1.44E-05 Cat. 3 260 59.6 27.5-RC-1403-NSS-4 3.438 1.44E-05 Cat. 3 261 59.3 31-RC-1302-NSS-7 3.438 1.44E-05 Cat. 3 262 65.9 4-CV-1001-BB1-1 3.438 1.44E-05 Cat. 3 263 66.4 4-CV-1001-BB1-2 3.438 1.44E-05 Cat. 3 264 66.4 4-CV-1118-BB1-1 3.438 1.44E-05 Cat. 3 265 65.6 4-CV-1118-BB1-2 3.438 1.44E-05 Cat. 3 266 64.4 4-CV-1120-BB1-1 3.438 1.44E-05 Cat. 3 267 64.0 4-CV-1120-BB1-2 3.438 1.44E-05 Cat. 3 268 63.1 4-RC-1000-BB1-1 3.438 1.44E-05 Cat. 3 269 63.8 4-RC-1000-BB1-2 3.438 1.44E-05 Cat. 3 270 63.8 4-RC-1000-BB1-3 3.438 1.44E-05 Cat. 3 271 64.2 4-RC-1000-BB1-4 3.438 1.44E-05 Cat. 3 272 64.2 4-RC-1000-BB1-5 3.438 1.44E-05 Cat. 3 273 64.0 4-RC-1000-BB1-6 3.438 1.44E-05 Cat. 3 274 63.9 4-RC-1000-BB1-7 3.438 1.44E-05 Cat. 3 275 62.7 4-RC-1000-BB1-8 3.438 1.44E-05 Cat. 3 276 63.2 4-RC-1003-BB1-1 3.438 1.44E-05 Cat. 3 277 63.3 4-RC-1003-BB1-2 3.438 1.44E-05 Cat. 3 278 63.2 4-RC-1003-BB1-3 3.438 1.44E-05 Cat. 3 279 62.8 4-RC-1003-BB1-4 3.438 1.44E-05 Cat. 3 280 58.4 4-RC-1123-BB1-1 3.438 1.44E-05 Cat. 3 281 64.7 4-RC-1123-BB1-10 3.438 1.44E-05 Cat. 3 282 65.6 4-RC-1123-BB1-11 3.438 1.44E-05 Cat. 3 283 65.9 4-RC-1123-BB1-12 3.438 1.44E-05 Cat. 3 284 65.9 4-RC-1123-BB1-13 3.438 1.44E-05 Cat. 3 285 66.1 4-RC-1123-BB1-14 3.438 1.44E-05 Cat. 3 286 65.9 4-RC-1123-BB1-15 3.438 1.44E-05 Cat. 3 287 63.9 4-RC-1123-BB1-16 3.438 1.44E-05 Cat. 3 288 63.2 4-RC-1123-BB1-17 3.438 1.44E-05 Cat. 3 289 61.8 4-RC-1123-BB1-18 3.438 1.44E-05 Cat. 3 290 61.9 4-RC-1123-BB1-19 3.438 1.44E-05 Cat. 3 291 65.9 4-RC-1123-BB1-2 3.438 1.44E-05 Cat. 3 292 62.8 4-RC-1123-BB1-20 3.438 1.44E-05 Cat. 3 293 65.9 4-RC-1123-BB1-3 3.438 1.44E-05 Cat. 3 294 65.9 4-RC-1123-BB1-4 3.438 1.44E-05 Cat. 3 295 66.0 4-RC-1123-BB1-5 3.438 1.44E-05 Cat. 3 296 66.0 4-RC-1123-BB1-6 3.438 1.44E-05 Cat. 3 297 65.9 4-RC-1123-BB1-7 3.438 1.44E-05 Cat. 3 298 66.0 4-RC-1123-BB1-8 3.438 1.44E-05 Cat. 3 299 64.2 4-RC-1123-BB1-9 3.438 1.44E-05 Cat. 3 300 65.3 4-RC-1126-BB1-1 3.438 1.44E-05 Cat. 3 301 64.3 4-RC-1126-BB1-2 3.438 1.44E-05 Cat. 3 302 64.0 4-RC-1126-BB1-3 3.438 1.44E-05 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 54 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 55 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
303 64.1 4-RC-1126-BB1-4 3.438 1.44E-05 Cat. 3 304 63.4 4-RC-1126-BB1-5 3.438 1.44E-05 Cat. 3 305 60.1 4-RC-1126-BB1-6 3.438 1.44E-05 Cat. 3 306 59.5 4-RC-1320-BB1-1 3.438 1.44E-05 Cat. 3 307 65.5 4-RC-1320-BB1-10 3.438 1.44E-05 Cat. 3 308 65.6 4-RC-1320-BB1-11 3.438 1.44E-05 Cat. 3 309 65.6 4-RC-1320-BB1-12 3.438 1.44E-05 Cat. 3 310 60.1 4-RC-1320-BB1-2 3.438 1.44E-05 Cat. 3 311 60.8 4-RC-1320-BB1-3 3.438 1.44E-05 Cat. 3 312 62.9 4-RC-1320-BB1-4 3.438 1.44E-05 Cat. 3 313 63.4 4-RC-1320-BB1-5 3.438 1.44E-05 Cat. 3 314 63.7 4-RC-1320-BB1-6 3.438 1.44E-05 Cat. 3 315 64.0 4-RC-1320-BB1-7 3.438 1.44E-05 Cat. 3 316 64.4 4-RC-1320-BB1-8 3.438 1.44E-05 Cat. 3 317 65.2 4-RC-1320-BB1-9 3.438 1.44E-05 Cat. 3 318 64.9 4-RC-1323-BB1-1 3.438 1.44E-05 Cat. 3 319 65.1 4-RC-1323-BB1-2 3.438 1.44E-05 Cat. 3 320 65.6 4-RC-1323-BB1-3 3.438 1.44E-05 Cat. 3 321 60.7 4-RC-1323-BB1-4 3.438 1.44E-05 Cat. 3 322 60.2 4-RC-1420-BB1-1 3.438 1.44E-05 Cat. 3 323 60.0 4-RC-1422-BB1-1 3.438 1.44E-05 Cat. 3 324 65.9 4-RC-1422-BB1-10 3.438 1.44E-05 Cat. 3 325 65.9 4-RC-1422-BB1-11 3.438 1.44E-05 Cat. 3 326 63.9 4-RC-1422-BB1-12 3.438 1.44E-05 Cat. 3 327 64.7 4-RC-1422-BB1-13 3.438 1.44E-05 Cat. 3 328 64.9 4-RC-1422-BB1-14 3.438 1.44E-05 Cat. 3 329 65.3 4-RC-1422-BB1-15 3.438 1.44E-05 Cat. 3 330 65.9 4-RC-1422-BB1-16 3.438 1.44E-05 Cat. 3 331 66.1 4-RC-1422-BB1-17 3.438 1.44E-05 Cat. 3 332 65.9 4-RC-1422-BB1-18 3.438 1.44E-05 Cat. 3 333 66.1 4-RC-1422-BB1-19 3.438 1.44E-05 Cat. 3 334 60.8 4-RC-1422-BB1-2 3.438 1.44E-05 Cat. 3 335 66.2 4-RC-1422-BB1-20 3.438 1.44E-05 Cat. 3 336 64.4 4-RC-1422-BB1-21 3.438 1.44E-05 Cat. 3 337 63.9 4-RC-1422-BB1-22 3.438 1.44E-05 Cat. 3 338 63.7 4-RC-1422-BB1-23 3.438 1.44E-05 Cat. 3 339 61.5 4-RC-1422-BB1-3 3.438 1.44E-05 Cat. 3 340 61.0 4-RC-1422-BB1-4 3.438 1.44E-05 Cat. 3 341 61.5 4-RC-1422-BB1-5 3.438 1.44E-05 Cat. 3 342 65.7 4-RC-1422-BB1-6 3.438 1.44E-05 Cat. 3 343 65.7 4-RC-1422-BB1-7 3.438 1.44E-05 Cat. 3 344 65.7 4-RC-1422-BB1-8 3.438 1.44E-05 Cat. 3 345 65.7 4-RC-1422-BB1-9 3.438 1.44E-05 Cat. 3 346 53.1 6-RC-1003-BB1-1 5.189 8.12E-06 Cat. 3 347 54.5 6-RC-1003-BB1-10 5.189 8.12E-06 Cat. 3 348 54.3 6-RC-1003-BB1-11 5.189 8.12E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 55 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 56 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
349 51.7 6-RC-1003-BB1-11A 5.189 8.12E-06 Cat. 3 350 50.1 6-RC-1003-BB1-11B 5.189 8.12E-06 Cat. 3 351 46.7 6-RC-1003-BB1-12 5.189 8.12E-06 Cat. 3 352 42.9 6-RC-1003-BB1-13 5.189 8.12E-06 Cat. 3 353 37.8 6-RC-1003-BB1-13A 5.189 8.12E-06 Cat. 3 354 33.7 6-RC-1003-BB1-14 5.189 8.12E-06 Cat. 3 355 53.0 6-RC-1003-BB1-2 5.189 8.12E-06 Cat. 3 356 53.0 6-RC-1003-BB1-3 5.189 8.12E-06 Cat. 3 357 53.3 6-RC-1003-BB1-4 5.189 8.12E-06 Cat. 3 358 53.5 6-RC-1003-BB1-5 5.189 8.12E-06 Cat. 3 359 54.1 6-RC-1003-BB1-6 5.189 8.12E-06 Cat. 3 360 52.4 6-RC-1003-BB1-7 5.189 8.12E-06 Cat. 3 361 48.5 6-RC-1003-BB1-8 5.189 8.12E-06 Cat. 3 362 48.1 6-RC-1003-BB1-9 5.189 8.12E-06 Cat. 3 363 48.0 6-RC-1003-BB1-9A 5.189 8.12E-06 Cat. 3 364 48.0 6-RC-1003-BB1-9B 5.189 8.12E-06 Cat. 3 365 33.8 6-RC-1003-BB1-PRZ-1-N2-SE 5.189 8.12E-06 Cat. 3 366 40.7 6-RC-1004-NSS-1 5.189 8.12E-06 Cat. 3 367 42.6 6-RC-1004-NSS-2 5.189 8.12E-06 Cat. 3 368 46.2 6-RC-1004-NSS-3 5.189 8.12E-06 Cat. 3 369 41.4 6-RC-1004-NSS-4 5.189 8.12E-06 Cat. 3 370 40.2 6-RC-1004-NSS-5 5.189 8.12E-06 Cat. 3 371 47.0 6-RC-1004-NSS-6 5.189 8.12E-06 Cat. 3 372 49.4 6-RC-1004-NSS-7 5.189 8.12E-06 Cat. 3 373 40.7 6-RC-1004-NSS-PRZ-1-N3-SE 5.189 8.12E-06 Cat. 3 374 38.5 6-RC-1009-NSS-1 5.189 8.12E-06 Cat. 3 375 40.2 6-RC-1009-NSS-2 5.189 8.12E-06 Cat. 3 376 44.8 6-RC-1009-NSS-3 5.189 8.12E-06 Cat. 3 377 40.9 6-RC-1009-NSS-4 5.189 8.12E-06 Cat. 3 378 37.8 6-RC-1009-NSS-5 5.189 8.12E-06 Cat. 3 379 36.7 6-RC-1009-NSS-6 5.189 8.12E-06 Cat. 3 380 38.3 6-RC-1009-NSS-7 5.189 8.12E-06 Cat. 3 381 41.4 6-RC-1009-NSS-8 5.189 8.12E-06 Cat. 3 382 44.1 6-RC-1009-NSS-9 5.189 8.12E-06 Cat. 3 383 38.7 6-RC-1009-NSS-PRZ-1-N4C-SE 5.189 8.12E-06 Cat. 3 384 35.6 6-RC-1012-NSS-1 5.189 8.12E-06 Cat. 3 385 43.2 6-RC-1012-NSS-10 5.189 8.12E-06 Cat. 3 386 43.7 6-RC-1012-NSS-11 5.189 8.12E-06 Cat. 3 387 37.1 6-RC-1012-NSS-2 5.189 8.12E-06 Cat. 3 388 38.1 6-RC-1012-NSS-3 5.189 8.12E-06 Cat. 3 389 38.4 6-RC-1012-NSS-4 5.189 8.12E-06 Cat. 3 390 41.0 6-RC-1012-NSS-5 5.189 8.12E-06 Cat. 3 391 41.8 6-RC-1012-NSS-6 5.189 8.12E-06 Cat. 3 392 43.1 6-RC-1012-NSS-7 5.189 8.12E-06 Cat. 3 393 42.6 6-RC-1012-NSS-8 5.189 8.12E-06 Cat. 3 394 39.9 6-RC-1012-NSS-9 5.189 8.12E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 56 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 57 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
395 35.5 6-RC-1012-NSS-PRZ-1-N4B-SE 5.189 8.12E-06 Cat. 3 396 36.2 6-RC-1015-NSS-1 5.189 8.12E-06 Cat. 3 397 43.8 6-RC-1015-NSS-10 5.189 8.12E-06 Cat. 3 398 54.8 6-RC-1015-NSS-11 5.189 8.12E-06 Cat. 3 399 56.7 6-RC-1015-NSS-12 5.189 8.12E-06 Cat. 3 400 56.9 6-RC-1015-NSS-13 5.189 8.12E-06 Cat. 3 401 56.0 6-RC-1015-NSS-14 5.189 8.12E-06 Cat. 3 402 56.0 6-RC-1015-NSS-15 5.189 8.12E-06 Cat. 3 403 38.1 6-RC-1015-NSS-2 5.189 8.12E-06 Cat. 3 404 39.4 6-RC-1015-NSS-3 5.189 8.12E-06 Cat. 3 405 38.3 6-RC-1015-NSS-4 5.189 8.12E-06 Cat. 3 406 36.2 6-RC-1015-NSS-5 5.189 8.12E-06 Cat. 3 407 35.4 6-RC-1015-NSS-6 5.189 8.12E-06 Cat. 3 408 35.3 6-RC-1015-NSS-7 5.189 8.12E-06 Cat. 3 409 38.3 6-RC-1015-NSS-8 5.189 8.12E-06 Cat. 3 410 40.7 6-RC-1015-NSS-9 5.189 8.12E-06 Cat. 3 411 66.8 6-SI-1108-BB1-1 5.189 8.12E-06 Cat. 3 412 66.7 6-SI-1108-BB1-2 5.189 8.12E-06 Cat. 3 413 66.1 6-SI-1108-BB1-3 5.189 8.12E-06 Cat. 3 414 58.7 6-SI-1108-BB1-4 5.189 8.12E-06 Cat. 3 415 64.0 6-SI-1111-BB1-1 5.189 8.12E-06 Cat. 3 416 63.9 6-SI-1111-BB1-2 5.189 8.12E-06 Cat. 3 417 66.9 6-SI-1208-BB1-1 5.189 8.12E-06 Cat. 3 418 66.8 6-SI-1208-BB1-2 5.189 8.12E-06 Cat. 3 419 66.1 6-SI-1208-BB1-3 5.189 8.12E-06 Cat. 3 420 59.8 6-SI-1208-BB1-4 5.189 8.12E-06 Cat. 3 421 64.7 6-SI-1211-BB1-1 5.189 8.12E-06 Cat. 3 422 64.5 6-SI-1211-BB1-2 5.189 8.12E-06 Cat. 3 423 63.8 6-SI-1308-BB1-1 5.189 8.12E-06 Cat. 3 424 65.0 6-SI-1308-BB1-2 5.189 8.12E-06 Cat. 3 425 65.3 6-SI-1308-BB1-3 5.189 8.12E-06 Cat. 3 426 64.2 6-SI-1308-BB1-4 5.189 8.12E-06 Cat. 3 427 53.1 6-SI-1327-BB1-1 5.189 8.12E-06 Cat. 3 428 53.6 6-SI-1327-BB1-2 5.189 8.12E-06 Cat. 3 429 54.1 6-SI-1327-BB1-3 5.189 8.12E-06 Cat. 3 430 53.6 6-SI-1327-BB1-4 5.189 8.12E-06 Cat. 3 431 54.5 6-SI-1327-BB1-5 5.189 8.12E-06 Cat. 3 432 55.3 6-SI-1327-BB1-6 5.189 8.12E-06 Cat. 3 433 56.3 6-SI-1327-BB1-7 5.189 8.12E-06 Cat. 3 434 35.9 29-RC-1101-NSS-2 6.813 2.27E-06 Cat. 3 435 36.0 29-RC-1201-NSS-2 6.813 2.27E-06 Cat. 3 436 35.5 29-RC-1301-NSS-2 6.813 2.27E-06 Cat. 3 437 46.2 8-RC-1114-BB1-1 6.813 2.27E-06 Cat. 3 438 47.8 8-RC-1114-BB1-2 6.813 2.27E-06 Cat. 3 439 46.2 8-RC-1114-BB1-3 6.813 2.27E-06 Cat. 3 440 43.3 8-RC-1114-BB1-4 6.813 2.27E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 57 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 58 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
441 39.6 8-RC-1114-BB1-5 6.813 2.27E-06 Cat. 3 442 36.3 8-RC-1114-BB1-6 6.813 2.27E-06 Cat. 3 443 46.5 8-RC-1214-BB1-1 6.813 2.27E-06 Cat. 3 444 48.0 8-RC-1214-BB1-2 6.813 2.27E-06 Cat. 3 445 46.7 8-RC-1214-BB1-3 6.813 2.27E-06 Cat. 3 446 43.7 8-RC-1214-BB1-4 6.813 2.27E-06 Cat. 3 447 40.1 8-RC-1214-BB1-5 6.813 2.27E-06 Cat. 3 448 37.1 8-RC-1214-BB1-6 6.813 2.27E-06 Cat. 3 449 45.0 8-RC-1324-BB1-1 6.813 2.27E-06 Cat. 3 450 46.6 8-RC-1324-BB1-2 6.813 2.27E-06 Cat. 3 451 45.6 8-RC-1324-BB1-3 6.813 2.27E-06 Cat. 3 452 44.5 8-RC-1324-BB1-4 6.813 2.27E-06 Cat. 3 453 40.3 8-RC-1324-BB1-5 6.813 2.27E-06 Cat. 3 454 37.0 8-RC-1324-BB1-6 6.813 2.27E-06 Cat. 3 455 63.2 8-RH-1108-BB1-1 6.813 2.27E-06 Cat. 3 456 62.9 8-RH-1108-BB1-2 6.813 2.27E-06 Cat. 3 457 45.8 8-RH-1112-BB1-1 6.813 2.27E-06 Cat. 3 458 47.3 8-RH-1112-BB1-1A 6.813 2.27E-06 Cat. 3 459 46.9 8-RH-1112-BB1-2 6.813 2.27E-06 Cat. 3 460 64.2 8-RH-1208-BB1-1 6.813 2.27E-06 Cat. 3 461 63.9 8-RH-1208-BB1-2 6.813 2.27E-06 Cat. 3 462 45.1 8-RH-1212-BB1-1 6.813 2.27E-06 Cat. 3 463 48.1 8-RH-1212-BB1-2 6.813 2.27E-06 Cat. 3 464 57.2 8-RH-1308-BB1-1 6.813 2.27E-06 Cat. 3 465 58.9 8-RH-1308-BB1-2 6.813 2.27E-06 Cat. 3 466 46.9 8-RH-1315-BB1-1 6.813 2.27E-06 Cat. 3 467 52.1 8-SI-1108-BB1-1 6.813 2.27E-06 Cat. 3 468 48.8 8-SI-1108-BB1-2 6.813 2.27E-06 Cat. 3 469 45.1 8-SI-1108-BB1-3 6.813 2.27E-06 Cat. 3 470 41.2 8-SI-1108-BB1-4 6.813 2.27E-06 Cat. 3 471 43.9 8-SI-1108-BB1-5 6.813 2.27E-06 Cat. 3 472 52.4 8-SI-1208-BB1-1 6.813 2.27E-06 Cat. 3 473 50.5 8-SI-1208-BB1-2 6.813 2.27E-06 Cat. 3 474 45.9 8-SI-1208-BB1-3 6.813 2.27E-06 Cat. 3 475 41.9 8-SI-1208-BB1-3A 6.813 2.27E-06 Cat. 3 476 45.0 8-SI-1208-BB1-4 6.813 2.27E-06 Cat. 3 477 48.2 8-SI-1327-BB1-1 6.813 2.27E-06 Cat. 3 478 35.4 8-SI-1327-BB1-10 6.813 2.27E-06 Cat. 3 479 41.1 8-SI-1327-BB1-11 6.813 2.27E-06 Cat. 3 480 48.8 8-SI-1327-BB1-2 6.813 2.27E-06 Cat. 3 481 49.2 8-SI-1327-BB1-3 6.813 2.27E-06 Cat. 3 482 49.9 8-SI-1327-BB1-4 6.813 2.27E-06 Cat. 3 483 51.6 8-SI-1327-BB1-5 6.813 2.27E-06 Cat. 3 484 49.7 8-SI-1327-BB1-6 6.813 2.27E-06 Cat. 3 485 45.1 8-SI-1327-BB1-7 6.813 2.27E-06 Cat. 3 486 40.3 8-SI-1327-BB1-8 6.813 2.27E-06 Cat. 3 continued next page...
Wednesday 29th April, 2015, 07:45 58 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 59 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
487 39.0 8-SI-1327-BB1-9 6.813 2.27E-06 Cat. 3 488 61.4 10-RH-1108-BB1-1 8.5 1.30E-06 Cat. 4 489 49.7 10-RH-1108-BB1-10 8.5 1.30E-06 Cat. 4 490 61.1 10-RH-1108-BB1-1A 8.5 1.30E-06 Cat. 4 491 61.0 10-RH-1108-BB1-2 8.5 1.30E-06 Cat. 4 492 60.9 10-RH-1108-BB1-3 8.5 1.30E-06 Cat. 4 493 60.7 10-RH-1108-BB1-4 8.5 1.30E-06 Cat. 4 494 60.7 10-RH-1108-BB1-5 8.5 1.30E-06 Cat. 4 495 60.8 10-RH-1108-BB1-6 8.5 1.30E-06 Cat. 4 496 60.2 10-RH-1108-BB1-7 8.5 1.30E-06 Cat. 4 497 49.0 10-RH-1108-BB1-8 8.5 1.30E-06 Cat. 4 498 49.2 10-RH-1108-BB1-9 8.5 1.30E-06 Cat. 4 499 62.6 10-RH-1208-BB1-1 8.5 1.30E-06 Cat. 4 500 51.1 10-RH-1208-BB1-10 8.5 1.30E-06 Cat. 4 501 52.0 10-RH-1208-BB1-11 8.5 1.30E-06 Cat. 4 502 62.3 10-RH-1208-BB1-2 8.5 1.30E-06 Cat. 4 503 62.2 10-RH-1208-BB1-3 8.5 1.30E-06 Cat. 4 504 61.6 10-RH-1208-BB1-4 8.5 1.30E-06 Cat. 4 505 61.3 10-RH-1208-BB1-5 8.5 1.30E-06 Cat. 4 506 61.4 10-RH-1208-BB1-6 8.5 1.30E-06 Cat. 4 507 60.6 10-RH-1208-BB1-7 8.5 1.30E-06 Cat. 4 508 50.9 10-RH-1208-BB1-8 8.5 1.30E-06 Cat. 4 509 50.6 10-RH-1208-BB1-9 8.5 1.30E-06 Cat. 4 510 57.0 10-RH-1308-BB1-1 8.5 1.30E-06 Cat. 4 511 62.5 10-RH-1308-BB1-2 8.5 1.30E-06 Cat. 4 512 62.6 10-RH-1308-BB1-3 8.5 1.30E-06 Cat. 4 513 62.5 10-RH-1308-BB1-4 8.5 1.30E-06 Cat. 4 514 62.8 10-RH-1308-BB1-5 8.5 1.30E-06 Cat. 4 515 61.9 10-RH-1308-BB1-6 8.5 1.30E-06 Cat. 4 516 61.8 10-RH-1308-BB1-7 8.5 1.30E-06 Cat. 4 517 61.4 10-RH-1308-BB1-8 8.5 1.30E-06 Cat. 4 518 30.4 12-RC-1112-BB1-10 10.126 9.75E-07 Cat. 4 519 30.3 12-RC-1112-BB1-11 10.126 9.75E-07 Cat. 4 520 9.6 12-RC-1112-BB1-2 10.126 9.75E-07 Cat. 4 521 16.1 12-RC-1112-BB1-3 10.126 9.75E-07 Cat. 4 522 20.2 12-RC-1112-BB1-4 10.126 9.75E-07 Cat. 4 523 22.3 12-RC-1112-BB1-5 10.126 9.75E-07 Cat. 4 524 18.9 12-RC-1112-BB1-6 10.126 9.75E-07 Cat. 4 525 16.6 12-RC-1112-BB1-7 10.126 9.75E-07 Cat. 4 526 17.6 12-RC-1112-BB1-8 10.126 9.75E-07 Cat. 4 527 27.4 12-RC-1112-BB1-9 10.126 9.75E-07 Cat. 4 528 47.4 12-RC-1125-BB1-1 10.126 9.75E-07 Cat. 4 529 48.7 12-RC-1125-BB1-2 10.126 9.75E-07 Cat. 4 530 48.9 12-RC-1125-BB1-3 10.126 9.75E-07 Cat. 4 531 49.2 12-RC-1125-BB1-4 10.126 9.75E-07 Cat. 4 532 49.2 12-RC-1125-BB1-5 10.126 9.75E-07 Cat. 4 continued next page...
Wednesday 29th April, 2015, 07:45 59 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 60 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
533 46.5 12-RC-1125-BB1-6 10.126 9.75E-07 Cat. 4 534 44.9 12-RC-1125-BB1-7 10.126 9.75E-07 Cat. 4 535 4.4 12-RC-1212-BB1-1 10.126 9.75E-07 Cat. 4 536 12.7 12-RC-1212-BB1-2 10.126 9.75E-07 Cat. 4 537 17.0 12-RC-1212-BB1-3 10.126 9.75E-07 Cat. 4 538 22.7 12-RC-1212-BB1-4 10.126 9.75E-07 Cat. 4 539 24.1 12-RC-1212-BB1-5 10.126 9.75E-07 Cat. 4 540 19.6 12-RC-1212-BB1-6 10.126 9.75E-07 Cat. 4 541 17.7 12-RC-1212-BB1-7 10.126 9.75E-07 Cat. 4 542 11.9 12-RC-1212-BB1-8 10.126 9.75E-07 Cat. 4 543 50.5 12-RC-1221-BB1-1 10.126 9.75E-07 Cat. 4 544 51.4 12-RC-1221-BB1-2 10.126 9.75E-07 Cat. 4 545 51.0 12-RC-1221-BB1-3 10.126 9.75E-07 Cat. 4 546 49.9 12-RC-1221-BB1-4 10.126 9.75E-07 Cat. 4 547 48.4 12-RC-1221-BB1-5 10.126 9.75E-07 Cat. 4 548 46.4 12-RC-1221-BB1-6 10.126 9.75E-07 Cat. 4 549 45.1 12-RC-1221-BB1-7 10.126 9.75E-07 Cat. 4 550 4.6 12-RC-1221-BB1-8 10.126 9.75E-07 Cat. 4 551 4.0 12-RC-1312-BB1-1 10.126 9.75E-07 Cat. 4 552 23.4 12-RC-1312-BB1-10 10.126 9.75E-07 Cat. 4 553 24.1 12-RC-1312-BB1-11 10.126 9.75E-07 Cat. 4 554 12.2 12-RC-1312-BB1-2 10.126 9.75E-07 Cat. 4 555 16.6 12-RC-1312-BB1-3 10.126 9.75E-07 Cat. 4 556 22.2 12-RC-1312-BB1-4 10.126 9.75E-07 Cat. 4 557 23.7 12-RC-1312-BB1-5 10.126 9.75E-07 Cat. 4 558 19.1 12-RC-1312-BB1-6 10.126 9.75E-07 Cat. 4 559 17.5 12-RC-1312-BB1-7 10.126 9.75E-07 Cat. 4 560 7.5 12-RC-1312-BB1-8 10.126 9.75E-07 Cat. 4 561 21.6 12-RC-1312-BB1-9 10.126 9.75E-07 Cat. 4 562 29.5 12-RH-1101-BB1-1 10.126 9.75E-07 Cat. 4 563 51.4 12-RH-1101-BB1-10 10.126 9.75E-07 Cat. 4 564 52.5 12-RH-1101-BB1-11 10.126 9.75E-07 Cat. 4 565 56.7 12-RH-1101-BB1-12 10.126 9.75E-07 Cat. 4 566 52.9 12-RH-1101-BB1-13 10.126 9.75E-07 Cat. 4 567 55.8 12-RH-1101-BB1-14 10.126 9.75E-07 Cat. 4 568 56.0 12-RH-1101-BB1-15 10.126 9.75E-07 Cat. 4 569 55.0 12-RH-1101-BB1-16 10.126 9.75E-07 Cat. 4 570 32.8 12-RH-1101-BB1-2 10.126 9.75E-07 Cat. 4 571 31.6 12-RH-1101-BB1-3 10.126 9.75E-07 Cat. 4 572 13.6 12-RH-1101-BB1-3A 10.126 9.75E-07 Cat. 4 573 16.4 12-RH-1101-BB1-4 10.126 9.75E-07 Cat. 4 574 25.3 12-RH-1101-BB1-5 10.126 9.75E-07 Cat. 4 575 26.1 12-RH-1101-BB1-6 10.126 9.75E-07 Cat. 4 576 25.7 12-RH-1101-BB1-7 10.126 9.75E-07 Cat. 4 577 32.0 12-RH-1101-BB1-8 10.126 9.75E-07 Cat. 4 578 52.8 12-RH-1101-BB1-9 10.126 9.75E-07 Cat. 4 continued next page...
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 61 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
579 17.9 12-RH-1201-BB1-1 10.126 9.75E-07 Cat. 4 580 28.1 12-RH-1201-BB1-10 10.126 9.75E-07 Cat. 4 581 50.0 12-RH-1201-BB1-11 10.126 9.75E-07 Cat. 4 582 51.8 12-RH-1201-BB1-12 10.126 9.75E-07 Cat. 4 583 52.2 12-RH-1201-BB1-13 10.126 9.75E-07 Cat. 4 584 55.2 12-RH-1201-BB1-14 10.126 9.75E-07 Cat. 4 585 57.8 12-RH-1201-BB1-15 10.126 9.75E-07 Cat. 4 586 57.5 12-RH-1201-BB1-16 10.126 9.75E-07 Cat. 4 587 56.9 12-RH-1201-BB1-17 10.126 9.75E-07 Cat. 4 588 22.8 12-RH-1201-BB1-2 10.126 9.75E-07 Cat. 4 589 26.6 12-RH-1201-BB1-3 10.126 9.75E-07 Cat. 4 590 27.2 12-RH-1201-BB1-4 10.126 9.75E-07 Cat. 4 591 26.7 12-RH-1201-BB1-5 10.126 9.75E-07 Cat. 4 592 12.4 12-RH-1201-BB1-6 10.126 9.75E-07 Cat. 4 593 21.9 12-RH-1201-BB1-7 10.126 9.75E-07 Cat. 4 594 22.6 12-RH-1201-BB1-8 10.126 9.75E-07 Cat. 4 595 21.5 12-RH-1201-BB1-9 10.126 9.75E-07 Cat. 4 596 27.4 12-RH-1301-BB1-1 10.126 9.75E-07 Cat. 4 597 54.9 12-RH-1301-BB1-10 10.126 9.75E-07 Cat. 4 598 29.8 12-RH-1301-BB1-2 10.126 9.75E-07 Cat. 4 599 29.9 12-RH-1301-BB1-3 10.126 9.75E-07 Cat. 4 600 27.6 12-RH-1301-BB1-4 10.126 9.75E-07 Cat. 4 601 31.5 12-RH-1301-BB1-5 10.126 9.75E-07 Cat. 4 602 53.2 12-RH-1301-BB1-5A 10.126 9.75E-07 Cat. 4 603 52.9 12-RH-1301-BB1-6 10.126 9.75E-07 Cat. 4 604 53.0 12-RH-1301-BB1-7 10.126 9.75E-07 Cat. 4 605 54.5 12-RH-1301-BB1-8 10.126 9.75E-07 Cat. 4 606 55.0 12-RH-1301-BB1-9 10.126 9.75E-07 Cat. 4 607 50.9 12-SI-1125-BB1-1 10.126 9.75E-07 Cat. 4 608 48.6 12-SI-1125-BB1-2 10.126 9.75E-07 Cat. 4 609 48.1 12-SI-1125-BB1-3 10.126 9.75E-07 Cat. 4 610 48.0 12-SI-1125-BB1-4 10.126 9.75E-07 Cat. 4 611 53.5 12-SI-1218-BB1-1 10.126 9.75E-07 Cat. 4 612 51.3 12-SI-1218-BB1-2 10.126 9.75E-07 Cat. 4 613 50.7 12-SI-1218-BB1-3 10.126 9.75E-07 Cat. 4 614 50.5 12-SI-1218-BB1-4 10.126 9.75E-07 Cat. 4 615 60.4 12-SI-1315-BB1-1 10.126 9.75E-07 Cat. 4 616 59.9 12-SI-1315-BB1-2 10.126 9.75E-07 Cat. 4 617 59.3 12-SI-1315-BB1-3 10.126 9.75E-07 Cat. 4 618 59.4 12-SI-1315-BB1-4 10.126 9.75E-07 Cat. 4 619 59.6 12-SI-1315-BB1-5 10.126 9.75E-07 Cat. 4 620 21.9 12-SI-1315-BB1-6 10.126 9.75E-07 Cat. 4 621 20.3 27.5-RC-1103-NSS-4 10.126 9.75E-07 Cat. 4 622 9.6 27.5-RC-1203-NSS-3 10.126 9.75E-07 Cat. 4 623 8.7 27.5-RC-1303-NSS-3 10.126 9.75E-07 Cat. 4 624 0.5 29-RC-1301-NSS-3 10.126 9.75E-07 Cat. 4 continued next page...
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DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 62 of 173 pages
... continued No.
Margin (lbm)
Location DEGB Size (in) fi NUREG 1829 Cat.
625 1.5 16-RC-1412-NSS-1 12.814 4.37E-07 Cat. 4 626 52.1 16-RC-1412-NSS-3 12.814 4.37E-07 Cat. 4 627 55.0 16-RC-1412-NSS-4 12.814 4.37E-07 Cat. 4 628 0.6 16-RC-1412-NSS-PRZ-1-N1-SE 12.814 4.37E-07 Cat. 4 Wednesday 29th April, 2015, 07:45 62 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 63 of 173 pages Acknowledgements and primary contributions 818 Work presented in this article was developed by YK.risk, LLC funded by STPNOC contract 819 BO5657, Revision 0 and Revision 1, and by Alion Science and Technology through con-820 tract BO4461, Revision 5. Reduction of CASA Grande results was performed by Jeremy 821 Tejada under the direction of John Hasenbein and funded by STPNOC grant BO4425.
822 Development of the strainer mass conservation equations was supported by Alex Zolan 823 under the direction of John Hasenbein and funded by STPNOC grant BO4425, Revision 4.
824 Seyed Reihani contributed to developing the mass conservation equations at UIUC under 825 STPNOC grant BO5270, Revision 3. The top down frequency methodology was originally 826 developed by Elmira Popova at UT Austin, funded by STPNOC grant BO4425, Revision 827
- 0. Further development for implementation RoverD was supported by David Johnson 828 and Don Wake"eld at ABS Consulting under STPNOC contract BO5760, Revision 1 and 829 Bruce Letellier at Alionscience and Technology under STPNOC contract BO4461, Revision 830
- 6. Work contributed by Ernie Kee is funded by STPNOC under YK.risk, LLC contract 831 BO5657, Revision 1.
832 Wednesday 29th April, 2015, 07:45 63 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 64 of 173 pages References 833 ACRS (2015, March 18). Advisory Committee on Reactor Safeguards Thermal Hydraulic 834 Phenomena and Reliability and Probabilistic Risk Assessment.
ML15092A840 Work 835 Order Number NRC-1451, pages 1-302, Nuclear Regulatory Commission, Rockville, MA.
836 Alion Science & Technology (2008). GSI-191 Containment Recirculation Sump Evalua-837 tion: Debris Generation. ALION-CAL-STPEGS 2916-002, Revision 3, Alion Science &
838 Technology, Albuquerque, NM.
839 Alion Science & Technology (2009). Insulation Debris Size Distribution for Use in GSI-840 191 Resolution. ALION-REP-ALION 2806-01, Revision 4, Alion Science & Technology, 841 Albuquerque, NM.
842 Alion Science & Technology (2011). Erosion Testing of Small Pieces of Low Density Fiber-843 glass Debris - Test Report. ALION-REP-ALION 1006-04, Revision 1, Alion Science &
844 Technology, Albuquerque, NM.
845 Alion Science & Technology (2014a). Risk-Informed GSI-191 Debris Transport Calculation.
846 ALION-CAL-STP 8511-08, Revision 3, Alion Science & Technology, Albuquerque, NM.
847 Alion Science & Technology (2014b). South Texas Reactor Building CAD Model For Use in 848 GSI-191 Analysis. ALION-SUM-WEST 2916-01, Revision 4, Alion Science & Technology, 849 Albuquerque, NM.
850 Alion Science & Technology (2015, April). CASA Grande Theory Manual. ALION-SPP 851 ALION-I009-10, Alion Science & Technology, Albuquerque, NM.
852 Andreychek, T. S. and K. F. McNamee (2014, December). Comprehensive Analysis and 853 Test Program for GSI-191 Closure (PA-SEE-1090) - Cold Leg Break (CLB) Evalua-854 tion Method for GSI-191 Long-Term Cooling. WCAP 17788-NP, Volume 3, Revision 0, 855 Westinghouse PWROG, Cranberry Township, PA.
856 AREVA (2008, August). South Texas Project Test Report for ECCS Strainer Testing.
857 AREVA NP Document 66-9088089-000, AREVA NP, 7207 IBM Drive, Charlotte, NC 858 28262.
859 Hindmarsh, A. C. (1983). ODEPACK, A Systematized Collection of ODE Solvers. Vol-860 ume 1, pp. 55-64. North-Holland, Amsterdam (1983).
861 NEI (2004, May). Pressurized Water Reactor Sump Performance Evaluation Methodology.
862 Technical Report 04-07, Nuclear Energy Institute, 1776 I Street, Washington, DC.
863 NRC (2008). Indian Point Energy Center Corrective Actions for Generic Letter 2004-02.
864 ML082050433, Nuclear Regulatory Commission, Washington, DC.
865 Wednesday 29th April, 2015, 07:45 64 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 65 of 173 pages NRC (2011).
Regulatory Guide 1.174: An Approach for Using Probabilistic Risk As-866 sessment In Risk-Informed Decisions On Plant-Speci"c Changes to the Licensing Basis, 867 Revision 2, Nuclear Regulatory Commission, Washington, DC.
868 Ogden, N., D. Morton, and J. Tejada (2013, June). South Texas Project Risk-Informed 869 GSI-191 Evaluation: Filtration as a Function of Debris Mass on the Strainer: Fitting a 870 Parametric Physics-Based Model. Technical report, STP-RIGSI191-V03.06, The Uni-871 versity of Texas at Austin, Austin, TX.
872 Powell, G. T. (2015, March). Responses to Round 2 Requests for Additional Information 873 Regarding STP Risk-Informed GSI-191 Licensing Application. ML15091A440, Letter 874 from Gerald T. Powell to the USNRC Document Control Desk.
875 PWROG (2011, October). Evaluation of Long - Term Cooling Considering Particulate, 876 Fibrous and Chemical Debris in the Recirculating Fluid.
WCAP 16793, Pressurized 877 Water Reactor Owners Group, Pittsburgh, PA.
878 Rao, D., C. Shaer, and E. Haskin (1998, February). Drywell Debris Transport Study.
879 NUREG/CR 6369, USNRC, Washington, DC.
880 Tregoning, R., L. Abramson, and P. Scott (2008, April). Estimating Loss-of-Coolant Acci-881 dent (LOCA) Frequencies Through the Elicitation Process. NUREG/CR 1829, Nuclear 882 Regulatory Commission, Washngton, DC.
883 Vaghetto, R. and Y. A. Hassan (2013). Study of debris-generated core blockage scenar-884 ios during loss of coolant accidents using RELAP5-3D. Nuclear Engineering and De-885 sign 261(0), 144 - 155.
886 Wednesday 29th April, 2015, 07:45 65 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 66 of 173 pages 9
Acronyms 887 CAD Computer Aided Design 888 CASA Grande Containment Accident Stochastic 889 Analysis (CASA) Grande 890 CDF Core Damage Frequency 891 CFD Computational "uid dynamics 892 CDF Change in core damage frequency above a 893 baseline level 894 LERF Change in large early release frequency above 895 a baseline level 896 CLB Cold Leg Break 897 CSS Containment Spray System 898 DEGB Double-Ended Guillotine Break 899 ECCS Emergency Core Cooling System 900 FA Fuel Assembly. Several fuel assemblies are 901 loaded in the reactor vessel to form the 902 reactor core 903 FIDOE FIber Diusion Operations Engine; 904 application that solves "ber mass 905 conservation 906 GSI-191 Generic Safety Issue 191 - the NRC Generic 907 Safety Issue number 191 908 HLB Hot Leg Break 909 HLSO Hot Leg Switch Over 910 LDFG Low Density Fiberglass (such as NUKONTM) 911 LERF Large Early Release Frequency 912 LLOCA Large Break Loss of Coolant Accident 913 LOCA Loss of Coolant Accident 914 MLOCA Medium Break Loss of Coolant Accident 915 916 PCT Peak Cladding Temperature 917 PRA Probabilistic Risk Assessment 918 PWROG Pressurized Water Reactor Owners Group 919 RCB Reactor Containment Building 920 RCFC The Reactor Containment Fan Coolers 921 RCP Reactor Coolant Pump 922 RCS Reactor Coolant System 923 RoverD Risk-informed Over Deterministic 924 SLOCA Small Break Loss of Coolant Accident 925 STP South Texas Project 926 STL stereolithography "le format 927 ZOI Zone of In"uence 928 Di The break size at any particular location 929 (locations indexed by i = 1, 2,..., N) 930 Dsmall i
corresponds to the smallest break size at any 931 particular location that produces more "nes 932 in the ECCS sump than the tested amount 933 934 Wednesday 29th April, 2015, 07:45 66 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 67 of 173 pages 10 LDFG mass conservation solution implementation The following listings are Python source code and the inputs used to generate the results in Section 3.6. Five input "les are required for the analysis performed summarized in Table 5.
The input "les are in the.CSV text format (comma separated variables) and can be imported into (for example) the Microsoft application, EXCEL for ease of editing.
The Python source code is in Listing 13. The following lists the inputs used in the mass conservation study summarized in Section 3.6:
- 1. The time-dependent "ow inputs are listed in Listing 3.
- 2. Constants for high pool concentration, high "ltration eciency are listed in Listing 4.
- 3. Constants for high pool concentration, low "ltration eciency are listed in Listing 5.
- 4. Constants for low pool concentration, low "ltration eciency are listed in Listing 6.
- 5. Constants for low pool concentration, high "ltration eciency are listed in Listing 7.
Wednesday 29th April, 2015, 07:45 67 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 68 of 173 pages Listing 2: Source listing for (1c) solution, Alex Zolan, UT Austin, 02 March, 2015 Recirculation / Core Debris Tracking Tool System of Dierential Equations Solver Alex Zolan Updated March 2, 2015 The purpose of the program is to simulate debris moving through a recirculating pool from which strainers can "lter out some debris, and some of the debris that passes through the strainers may attach itself to the core.
import time import scipy import scipy.integrate import matplotlib matplotlib.use(Agg) import matplotlib.pyplot as plt import pandas import csv class MassCalculator(object):
"""Note that in initialization, we allow for inputs to be left out of the input "le and still allow the program to run using default values in their place. When a default value is used, a note is printed to the console to inform the user."""
def __init__(self, params):
- pool volume (gallons) and initial mass in pool (grams) if "M_p_0" in params.keys(): self.M_p_0 = params["M_p_0"]
else:
self.M_p_0 = 3000.0 print "M_p_0notininputs.Defaultvalueof3000used."
if "V_p" in params.keys(): self.V_p = params["V_p"]
else:
self.V_p = 50000.0 print "V_pnotininputs.Defaultvalueof50000used."
- Initial mass on strainers Wednesday 29th April, 2015, 07:45 68 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 69 of 173 pages if "M_s_a_0" in params.keys(): self.M_s_a_0 = params["M_s_a_0"]
else:
self.M_s_a_0 = 0.0 print "M_s_a_0notininputs.Defaultvalueof0used."
if "M_s_b_0" in params.keys(): self.M_s_b_0 = params["M_s_b_0"]
else:
self.M_s_b_0 = 0.0 print "M_s_b_0notininputs.Defaultvalueof0used."
if "M_s_c_0" in params.keys(): self.M_s_c_0 = params["M_s_c_0"]
else:
self.M_s_c_0 = 0.0 print "M_s_c_0notininputs.Defaultvalueof0used."
- initial mass on core if "M_c_0" in params.keys(): self.M_c_0 = params["M_c_0"]
else:
self.M_c_0 = 0.0 print "M_c_0notininputs.Defaultvalueof0.0used."
- gamma, the percentage of water "owing back to the strainers if "gamma_a" in params.keys(): self.gamma_a = params["gamma_a"]
else:
self.gamma_a = 0.0 print "gamma_anotininputs.Defaultvalueof0.0used."
if "gamma_b" in params.keys(): self.gamma_b = params["gamma_b"]
else:
self.gamma_b = 0.0 print "gamma_bnotininputs.Defaultvalueof0.0used."
if "gamma_c" in params.keys(): self.gamma_c = params["gamma_c"]
else:
self.gamma_c = 0.0 print "gamma_cnotininputs.Defaultvalueof0.0used."
- strainer "ow rates in gallons per minute (gpm) if "Q_s_a" in params.keys(): self.Q_s_a = params["Q_s_a"]
else:
self.Q_s_a = 1000.0 print "Q_s_anotininputs.Defaultvalueof1000.0used."
if "Q_s_b" in params.keys(): self.Q_s_b = params["Q_s_b"]
else:
self.Q_s_b = 1000.0 print "Q_s_bnotininputs.Defaultvalueof1000.0used."
Wednesday 29th April, 2015, 07:45 69 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 70 of 173 pages if "Q_s_c" in params.keys(): self.Q_s_c = params["Q_s_c"]
else:
self.Q_s_c = 1000.0 print "Q_s_cnotininputs.Defaultvalueof1000.0used."
- core "ow rate in gpm if "Q_c" in params.keys(): self.Q_c = params["Q_c"]
else:
self.Q_c = 1600.0 print "Q_cnotininputs.Defaultvalueof1600.0used."
- "ltration rate (function of mass) if "m" in params.keys(): self.m = params["m"]
else:
self.m = 0.0003391 #lower envelope print "m("ltrationfunction)notininputs.Defaultof0.0003391 used."
if "b" in params.keys(): self.b = params["b"]
else:
self.b = 0.6560 #lower envelope print "b("ltrationfunction)notininputs.Defaultof0.6560used."
if "M_c" in params.keys(): self.threshold = params["M_c"]
else:
self.threshold = 880 #lower envelope print "M_c("ltrationfunction)notininputs.Defaultof880used."
if "delta" in params.keys(): self.delta = params["delta"]
else:
self.delta = 0.0013 #lower envelope print "delta("ltrationfunction)notininputs.Defaultof0.0013 used."
if "a" in params.keys(): self.a = params["a"]
else:
self.a = 1.0 #lower envelope
- this upper bound is not expected to be used in most cases, so it is not
- called out in the console.,
- print "a ("ltration function) not in inputs. Default of 1.0 used."
def getFlowRateStrainerA(self,t):
"""returns the "ow rate out of strainer A, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
Wednesday 29th April, 2015, 07:45 70 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 71 of 173 pages if type(self.Q_s_a)== "oat: return self.Q_s_a else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_s_a["t"][0] > t: return 0 for i in range(1,len(self.Q_s_a["t"])):
if self.Q_s_a["t"][i] > t:
return self.Q_s_a["vals"][i-1]
return self.Q_s_a["vals"][-1]
def getFlowRateStrainerB(self,t):
"""returns the "ow rate out of strainer B, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
if type(self.Q_s_b)== "oat: return self.Q_s_b #if the input is a constant, just report that.
else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_s_b["t"][0] > t: return 0 for i in range(1,len(self.Q_s_b["t"])):
if self.Q_s_b["t"][i] > t:
return self.Q_s_b["vals"][i-1]
return self.Q_s_b["vals"][-1]
def getFlowRateStrainerC(self,t):
"""returns the "ow rate out of strainer C, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
if type(self.Q_s_c)== "oat: return self.Q_s_c else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_s_c["t"][0] > t: return 0 for i in range(1,len(self.Q_s_c["t"])):
if self.Q_s_c["t"][i] > t:
return self.Q_s_c["vals"][i-1]
return self.Q_s_c["vals"][-1]
Wednesday 29th April, 2015, 07:45 71 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 72 of 173 pages def getFlowRateCore(self, t):
"""returns the "ow rate through the core, in gallons per minute.
This function is assumed to be known with respect to time."""
if type(self.Q_c)== "oat: return self.Q_c else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_c["t"][0] > t: return 0 for i in range(1,len(self.Q_c["t"])):
if self.Q_c["t"][i] > t:
return self.Q_c["vals"][i-1]
return self.Q_c["vals"][-1]
def getFiltrationRate(self,mass):
"""returns the "ltration rate (fraction between 0 and 1) of debris through the strainer. (Note the mass is total for a strainer, and there are 20 modules, with the "ltration function relating to the per module mass - so we divide by 20 to get the per-module mass.
mass -- amount of debris currently on the strainer (grams) retval - fraction between 0 and 1 indicating how the proportion of mass that is caught and added to the strainer if (mass/20.0) <= self.threshold:
return (mass/20.0)*self.m + self.b else:
return (self.threshold*self.m + self.b) + (self.a - self.threshold*self.m -
self.b) * (1-scipy.exp(-self.delta * ((mass/20.0)-self.threshold) ) )
def getDeltaMassStrainerA(self, masses, t):
"""Calculates the rate of change of mass on strainer A.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c)
Wednesday 29th April, 2015, 07:45 72 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 73 of 173 pages t -- time retval -- rate of change of mass on Strainer A."""
return self.getFlowRateStrainerA(t) * (masses[0] / self.V_p)
- self.
getFiltrationRate(masses[1])
def getDeltaMassStrainerB(self, masses, t):
"""Calculates the rate of change of mass on strainer B.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- rate of change of mass on Strainer B."""
return self.getFlowRateStrainerB(t) * (masses[0] / self.V_p)
- self.
getFiltrationRate(masses[2])
def getDeltaMassStrainerC(self, masses, t):
"""Calculates the rate of change of mass on strainer C.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- rate of change of mass on Strainer C."""
return self.getFlowRateStrainerC(t) * (masses[0] / self.V_p)
- self.
getFiltrationRate(masses[3])
def getNetPassThroughRate(self,masses,t):
"""Calculates the weighted average pass-through rate of debris through the strainers and to the core.
result is weighted by "ow rate to the core (given by the gamma term and "ow rate).
masses -- mass of debris in the dierent parts of the system:
recirculation system:
masses[0] = Pool (M_p)
Wednesday 29th April, 2015, 07:45 73 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 74 of 173 pages masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- weighted average of debris "ltered by the strainers"""
if self.getFlowRateStrainerA(t) + self.getFlowRateStrainerB(t) + self.
getFlowRateStrainerC(t)== 0: return 1.0 else: return ( self.getFlowRateStrainerA(t) * (1-self.getFiltrationRate(masses
[1])) * (1-self.gamma_a)
+ self.getFlowRateStrainerB(t) * (1-self.getFiltrationRate(masses
[2])) * (1-self.gamma_b)
+ self.getFlowRateStrainerC(t) * (1-self.getFiltrationRate(masses
[3])) * (1-self.gamma_c) ) / \\
( self.getFlowRateStrainerA(t) * (1-self.gamma_a) +
self.getFlowRateStrainerB(t) * (1-self.gamma_b) +
self.getFlowRateStrainerC(t) * (1-self.gamma_c) )
def getDeltaMassCore(self, masses, t):
"""Calculates the rate of change of debris on the core."""
return self.getFlowRateCore(t) * (masses[0] / self.V_p) * (self.
getNetPassThroughRate(masses,t))
def getDeltaMassPool(self,masses,t):
"""Calculates the rate of change of debris in the pool."""
return -1.0*( self.getDeltaMassCore(masses,t)
+ self.getDeltaMassStrainerA(masses, t)
+ self.getDeltaMassStrainerB(masses, t)
+ self.getDeltaMassStrainerC(masses, t) )
def getAllDeltas(self, masses, t):
"""Gets the rate of change of debris in all locations."""
return scipy.array( [ self.getDeltaMassPool(masses,t),
self.getDeltaMassStrainerA(masses,t),
self.getDeltaMassStrainerB(masses,t),
self.getDeltaMassStrainerC(masses,t),
self.getDeltaMassCore(masses,t) ] )
def solveForCoreMass(self, t):
"""Runs the ODE integrator from Pythons ODE library, Wednesday 29th April, 2015, 07:45 74 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 75 of 173 pages with the delta functions and initial values arranged in order: pool, strainer A, B, C, and Core.
Note: We use the librarys default solver, LSODA, for this set of dierential equations."""
return scipy.integrate.odeint(self.getAllDeltas, scipy.array([self.M_p_0, self.M_s_a_0, self.M_s_b_0, self.M_s_c_0, self.M_c_0]
),
t, mxstep=10000000 )
def printEchoIn(self,"lename = "echoin.csv"):
"""Prints all model parameters to "le. Used for debugging and I/O checking."""
out"le = open("lename,w) out"le.write("Modelparametersused:\\n\\n")
out"le.write("FiltrationFunctionParameterValues:\\n")
out"le.write("m,%s\\n" % self.m) out"le.write("b,%s\\n" % self.b) out"le.write("M_c,%s\\n" % self.threshold) out"le.write("delta,%s\\n" % self.delta) out"le.write("a,%s\\n\\n" % self.a) out"le.write("InitialMassesandStrainerValues:\\n")
out"le.write("M_p_0,%s\\n" % self.M_p_0) out"le.write("V_p,%s\\n" % self.V_p) out"le.write("M_s_a_0,%s\\n" % self.M_s_a_0) out"le.write("M_s_b_0,%s\\n" % self.M_s_b_0) out"le.write("M_s_c_0,%s\\n" % self.M_s_c_0) out"le.write("FlowRatesovertime:\\n")
if type(self.Q_s_a)== "oat: out"le.write("Q_s_a,%s\\n" % self.Q_s_a) else:
out"le.write("t,Q_s_a\\n")
for idx in range(len(self.Q_s_a["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_a["t"][idx],self.Q_s_a["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_s_b)== "oat: out"le.write("Q_s_b,%s\\n" % self.Q_s_b) else:
out"le.write("t,Q_s_b\\n")
Wednesday 29th April, 2015, 07:45 75 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 76 of 173 pages for idx in range(len(self.Q_s_b["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_b["t"][idx],self.Q_s_b["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_s_c)== "oat: out"le.write("Q_s_c,%s\\n" % self.Q_s_c) else:
out"le.write("t,Q_s_c\\n")
for idx in range(len(self.Q_s_c["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_c["t"][idx],self.Q_s_c["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_c)== "oat: out"le.write("Q_c,%s\\n" % self.Q_c) else:
out"le.write("t,Q_c\\n")
for idx in range(len(self.Q_c["t"])):
out"le.write("%s,%s\\n" % (self.Q_c["t"][idx],self.Q_c["vals"][idx]))
out"le.write("\\n")
def ReadParams(time_"lename, initials_"lename):
"""Serves as the input reader for this model. Assumes there is one "le that reads as a table of time-based inputs and another "le with initial and model values. the output is a dictionary that is used to initialize the MassCalculator class.
params = {}
- read in initials and constants "le initials_"le = csv.reader(open(initials_"lename, rU))
for line in initials_"le:
if len(line) > 1:
try: params[line[0)) = "oat(line[1])
except ValueError: pass
- read in time-based inputs "le time_df = pandas.read_csv(time_"lename)
- print time_df params["Q_s_a"] = {}
params["Q_s_a"]["t"] = time_df.t.values params["Q_s_a"]["vals"] = time_df.Q_s_a.values params["Q_s_b"] = {}
params["Q_s_b"]["t"] = time_df.t.values params["Q_s_b"]["vals"] = time_df.Q_s_b.values params["Q_s_c"] = {}
Wednesday 29th April, 2015, 07:45 76 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 77 of 173 pages params["Q_s_c"]["t"] = time_df.t.values params["Q_s_c"]["vals"] = time_df.Q_s_c.values params["Q_c"] = {}
params["Q_c"]["t"] = time_df.t.values params["Q_c"]["vals"] = time_df.Q_c.values return params if __name__== "__main__":
time_"lename = raw_input("Pleaseenterthenameofthetime-indexed inputs"le:")
- time_"lename = "time.csv" initials_"lename = raw_input("Pleaseenterthenameoftheconstantinputs "le:")
- initials_"lename = "const.csv" solver = MassCalculator(ReadParams(time_"lename, initials_"lename))
timespan = "oat(raw_input("Pleaseenterthedesiredtimespan(minutes):"))
- timespan = 1000 out"le = raw_input("Pleaseentertheresults"lename(noextension):")
- out"le = "DEMO"
- create_png = raw_input("Create graph summary of output (y/n)? ")
clock = time.time()
t = scipy.linspace(0,timespan,1001) sol = solver.solveForCoreMass(t).T elapsed = time.time() - clock print "Calculationscompletedin"+str(elapsed)+"seconds.Creatingoutput "les."
- Creating csv table output = open(out"le+".csv",w) output.write("t,M_p,M_s_a,M_s_b,M_s_c,M_c\\n")
for idx in range(len(sol[0])):
output.write(str(t[idx])+","+str(sol[0][idx])+","+str(sol[1][idx])+","+str(sol
[2][idx])+","+str(sol[3][idx])+","+str(sol[4][idx])+"\\n")
output.close()
- Creating 2x2 "gure of plots of debris levels over time.
- If plotting cant be done here, skip this step.
try:
"g, axes = plt.subplots(2,2) axes[0, 0].plot(t,sol[1])
axes[0, 0].set_title(DebrisonstrainerAovertime) axes[0, 1].plot(t,sol[2])
Wednesday 29th April, 2015, 07:45 77 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 78 of 173 pages axes[0, 1].set_title(DebrisonstrainerBovertime) axes[1, 0].plot(t,sol[3])
axes[1, 0].set_title(DebrisonstrainerCovertime) axes[1, 1].plot(t,sol[4])
axes[1, 1].set_title(Debrisoncoreovertime) plt.save"g(out"le+".png")
except TypeError: pass
- print model parameters solver.printEchoIn()
Wednesday 29th April, 2015, 07:45 78 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 79 of 173 pages Listing 3: Mass conservation solver, time-dependent inputs t,Q_s_a,Q_s_b,Q_s_c,Q_c 0.00,7200,7200,7200,610.00 8.33,7200,7200,7200,565.81 41.67,7200,7200,7200,520.19 75.00,7200,7200,7200,419.82 108.33,7200,7200,7200,370.37 141.67,7200,7200,7200,340.83 225.00,7200,7200,7200,319.87 308.33,7200,7200,7200,286.78 641.67,7200,7200,7200,265.56 975.00,7200,7200,7200,220.91 1308.33,7200,7200,7200,197.62 1641.67,7200,7200,7200,182.46 2475.00,7200,7200,7200,171.01 6641.67,7200,7200,7200,151.19 9975.00,7200,7200,7200,107.08 13308.33,7200,7200,7200,90.92 16641.67,7200,7200,7200,80.49 Wednesday 29th April, 2015, 07:45 79 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 80 of 173 pages Listing 4: Input listing for the mass conservation solver: constants for High Pool Concentration, High Filtration Eciency Initial Mass:
M_p_0,249700 M_s_a_0,0 M_s_b_0,0 M_s_c_0,0 M_c_0,0 Pool Volume:
V_p,300000 Strainer Recirculation Rates::
gamma_a,0 gamma_b,0.33 gamma_c,0.33 Filtration Function Parameters (see Ogden Tejada and Morton STP-RIGSI1913V03
.06):
m,0.0003723 b,0.7059 M_c,790 delta,0.0318 Wednesday 29th April, 2015, 07:45 80 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 81 of 173 pages Listing 5: Input listing for the mass conservation solver: constants for High Pool Concentration, Low Filtration Eciency Initial Mass:
M_p_0,249700 M_s_a_0,0 M_s_b_0,0 M_s_c_0,0 M_c_0,0 Pool Volume:
V_p,300000,,,,
Strainer Recirculation Rates::
gamma_a,0 gamma_b,0.33 gamma_c,0.33 Filtration Function Parameters (see Ogden Tejada and Morton STP-RIGSI1913V03
.06):
m,0.0003391 b,0.656 M_c,880 delta,0.0013 Wednesday 29th April, 2015, 07:45 81 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 82 of 173 pages Listing 6: Input listing for the mass conservation solver: constants for Low Pool Concentration, Low Filtration Eciency Initial Mass:
M_p_0,87068.12 M_s_a_0,0 M_s_b_0,0 M_s_c_0,0 M_c_0,0 Pool Volume:
V_p,550000 Strainer Recirculation Rates::
gamma_a,0 gamma_b,0.33 gamma_c,0.33 Filtration Function Parameters (see Ogden Tejada and Morton STP-RIGSI1913V03
.06):
m,0.0003391 b,0.656 M_c,880 delta,0.0013 Wednesday 29th April, 2015, 07:45 82 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 83 of 173 pages Listing 7: Input listing for the mass conservation solver: constants for Low Pool Concentration, Low Filtration Eciency Initial Mass:
M_p_0,87068.12 M_s_a_0,0 M_s_b_0,0 M_s_c_0,0 M_c_0,0 Pool Volume:
V_p,550000 Strainer Recirculation Rates::
gamma_a,0 gamma_b,0.33 gamma_c,0.33 Filtration Function Parameters (see Ogden Tejada and Morton STP-RIGSI1913V03
.06):
m,0.0003723 b,0.7059 M_c,790 delta,0.0318 Wednesday 29th April, 2015, 07:45 83 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 84 of 173 pages 11 Top-down LOCA frequency solution implementation The following listings are Python source code and the inputs used to generate the results in Section 4.4 (Results). The output of the frequency application is directed to the screen via a print statement (see last four lines of Listing 8). Input "les are required for the exceedence frequency quantiles at dierent break sizes, a weld list that has the number and inside diameter of welds in the plant within the GSI-191 scope, and a list of the Dsmall i
from the RoverD f etch stage. The input "les are in the.CSV text format (comma separated variables) and can be imported into (for example) the Microsoft application, EXCEL for ease of editing.
NOTE: The frequency results in Table 12, Table 13, Table 14, and Table 15 were not from the Python application but rather a spreadsheet implementation of the top-down method.
In the following, input "les for computing the results shown in Table 8 are listed:
- 1. The arithmetic mean frequency table (from Tregoning et al. (2008)) input is Listing 9.
- 2. The geometric mean frequency table (from Tregoning et al. (2008)) input is Listing 10.
- 3. The weld list (ID and count) input is shown in Listing 11.
- 4. The pipe break table from RoverD fetch is listed in Listing 12.
Listing 8: Source listing for (5) solution, Alex Zolan, UT Austin, 27 February, 2015 LOCA Frequency Calculator Alex Zolan Updated February 27, 2015 The purpose of the program is to estimate the frequency of critical breaks that can occur We assume that any pipe that has a diameter as large or larger than any critical break size could experience such a break, and that each possible pipe has the same chance of having such a break.
import pandas import scipy class NUREG_1829_Freqs(object):
"""This class manages the NUREG-1829 frequencies as given by an input "le, which has the the break size, mean, and 5th, 50th and 95th exceedance break frequencies for a set number of categories."""
Wednesday 29th April, 2015, 07:45 84 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 85 of 173 pages def __init__(self,nureg_"le):
We start with a dataframe and take the break sizes and each sumimary statistic as their own independent list.
df = pandas.read_csv(nureg_"le)
- self.categories = df.Category.values self.sizes = df.Break_Size.values self.means = df.Mean.values self.P5 = df.P5.values self.P50 = df.P50.values self.P95 = df.P95.values def "ndFirstExceedingIndex(self,size):
"""Finds the index of the "rst size that is larger than the given size.
size -- break size, in inches retval - index from sizes object"""
assert size >= self.sizes[0], "SizeoutsideofNUREGfound.Aborting."
for idx, s in enumerate(self.sizes):
if s >= size: return idx return -1 def getFrequency(self,size,stat):
"""Returns the exceedance frequency of a given break size uses NUREG 1829 values and linear interpolation to "nd the best.
size -- break size, in inches stat -- desired summary statistic retval - summary statistic frequency for break size"""
idx = self."ndFirstExceedingIndex(size) assert idx >= 0, "SizeoutsideofNUREGFound.Aborting."
if idx== 0: return self.getStat(0,stat) lower = self.getStat(idx-1,stat) upper = self.getStat(idx,stat) frac = (size-self.sizes[idx-1])/(self.sizes[idx]-self.sizes[idx-1])
- print "Frac Calc",size,lower,upper,self.sizes[idx-1],self.sizes[idx]
return lower + (upper-lower)*frac def getStat(self,idx,stat):
Wednesday 29th April, 2015, 07:45 85 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 86 of 173 pages
"""Returns a summary statistic based on the object desired.
idx -- index of the desire list to return stat -- desired summary statistic retval - summary statistic frequency from NUREG-1829"""
if stat== "P5": return self.P5[idx]
if stat== "P50": return self.P50[idx]
if stat== "P95": return self.P95[idx]
if stat== "Mean": return self.means[idx]
class LOCAEventCalculator(object):
"""This class acts as the calculator for LOCA Events. It calls frequencies from the NUREG_1829_Freqs object, and determines the probability of a particular pipe breaking by "nding the number of pipes that could handle such a break.
breaksFile -- location of the "le that contains all pipes and the weld break sizes that would cause a signi"cant event weldsFile -- location of the "le that contains a summary of the number of welds of each size/type def __init__(self,breaksFile,weldsFile):
self.breaks_df = pandas.read_csv(breaksFile) self.welds_df = pandas.read_csv(weldsFile) def getPipesOfExceedingSize(self,breakSize):
"""returns the number of pipes in from the welds dataframe that have a diameter that meets or exceeds a given break size, given the input breakSize."""
return scipy.sum(self.welds_df[self.welds_df.pipe_type
>= breakSize].number_of_welds.values) def getSumOfAllBreaks(self,stat,nuregFile):
"""calculates the expected frequency of LOCA events based on calculating the exceedance frequency of the break size and then dividing by the number of pipes that could have a break of that size in the plant (as given by the welds "le). This term is calculated for each pipe in the pipebreaks "le (when a nonzero break size is included) and then summed to get the result.
nuregFile -- table of NUREG-1829 frequencies.
retval -- expected frequency of LOCA events/CY."""
Wednesday 29th April, 2015, 07:45 86 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 87 of 173 pages nureg = NUREG_1829_Freqs(nuregFile) sum_freqs = 0.0 for i,rowdata in self.breaks_df.iterrows():
if self.breaks_df.Break_size[i]== 0: continue breakFreq = nureg.getFrequency(self.breaks_df.Break_size[i],stat) numPipes = self.getPipesOfExceedingSize(self.breaks_df.Break_size[i])
sum_freqs += breakFreq / numPipes
- print self.breaks_df.Break_size[i],breakFreq,numPipes return sum_freqs if __name__== "__main__":
weldsFile = raw_input("Pleaseenterthenameoftheweldsinputs"le:")
- weldsFile = "welds.csv" breaksFile = raw_input("Pleaseenterthenameofthepipe/breaksizes"le:
")
- breaksFile = "pipebreaks.csv" nuregFile = raw_input("PleaseenterthenameoftheNUREGfrequencies"le
- ")
- nuregFile = "NUREG_GM.csv" locas = LOCAEventCalculator(breaksFile,weldsFile)
- print locas.breaks_df[locas.breaks_df.Break_size > 0]
- print locas.welds_df P5Freq = locas.getSumOfAllBreaks("P5",nuregFile)
P50Freq = locas.getSumOfAllBreaks("P50",nuregFile)
P95Freq = locas.getSumOfAllBreaks("P95",nuregFile) meanFreq = locas.getSumOfAllBreaks("Mean",nuregFile) print "TotalexpectedfrequencyofeventsatP5:"+str(P5Freq)+"events/CY print "TotalexpectedfrequencyofeventsatP50:"+str(P50Freq)+"events/
CY" print "TotalexpectedfrequencyofeventsatP95:"+str(P95Freq)+"events/
CY" print "TotalexpectedfrequencyofeventsatMean:"+str(meanFreq)+"
events/CY" Listing 9: Input listing for the Arithmetic Means quantiles. Taken from NUREG-1829, Table 13 Category,Break_Size,P5,P50,Mean,P95 Cat1,0.5,8.10E-04,4.80E-03,1.00E-02,3.60E-02 Cat2,1.625,4.20E-05,7.00E-04,3.00E-03,1.20E-02 Wednesday 29th April, 2015, 07:45 87 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 88 of 173 pages Cat3,3,1.30E-06,1.90E-05,7.30E-05,2.90E-04 Cat4,7,6.90E-08,1.30E-06,9.40E-06,3.00E-05 Cat5,14,9.90E-09,2.60E-07,2.40E-06,7.20E-06 Cat6,31,5.90E-09,1.50E-07,1.50E-06,5.20E-06 Listing 10: Input listing for the Geometric Means quantiles. Taken from NUREG-1829, Table 19 Category,Break_Size,P5,P50,P95,Mean Cat1,0.5,6.80E-05,6.30E-04,7.10E-03,1.90E-03 Cat2,1.625,5.00E-06,8.90E-05,1.60E-03,4.20E-04 Cat3,3,2.14E-07,3.40E-06,6.10E-05,1.60E-05 Cat4,7,1.40E-08,3.10E-07,6.10E-06,1.60E-06 Cat5,14,4.10E-10,1.20E-08,5.80E-07,2.00E-07 Cat6,31,3.49E-11,1.19E-09,8.00E-08,2.90E-08 Listing 11: Input listing for the welds in the scope of GSI-191 pipe_type,number_of_welds,,Pipe size (stainless schedule 160),
0.612,32,,0.75, 0.815,3,,1, 1.338,9,,1.5, 1.687,85,,2, 2.125,6,,2.5, 2.624,26,,3, 3.438,90,,4, 5.187,88,,6, 6.813,54,,8, 8.5,30,,10, 10.126,131,,12, 12.814,10,,16, 27.5,16,,27.5,Spool/forged 29,20,,29,Spool/forged 31,28,,31,Spool/forged Listing 12: Input listing from the RoverD fetch stage for the welds in the scope of GSI-191 Number,Line_Number,Location_Name,System,Category,Pipe_ID,Break_size 1,2-CV-1122-BB1,0.75-CV-1122-BB1-1,CV Small Bore,6B-1,0.614,0 2,2-CV-1122-BB1,0.75-CV-1122-BB1-2,CV Small Bore,6B-1,0.614,0 3,2-CV-1124-BB1,0.75-CV-1124-BB1-1,CV Small Bore,6B-1,0.614,0 Wednesday 29th April, 2015, 07:45 88 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 89 of 173 pages 4,2-CV-1124-BB1,0.75-CV-1124-BB1-2,CV Small Bore,6B-1,0.614,0 5,2-CV-1126-BB1,0.75-CV-1126-BB1-1,CV Small Bore,6B-1,0.614,0 6,2-CV-1126-BB1,0.75-CV-1126-BB1-2,CV Small Bore,6B-1,0.614,0 7,2-CV-1128-BB1,0.75-CV-1128-BB1-1,CV Small Bore,6B-1,0.614,0 8,2-CV-1128-BB1,0.75-CV-1128-BB1-2,CV Small Bore,6B-1,0.614,0 9,4-RC-1003-BB1,0.75-RC-1001-BB1-1,RC Small Bore,6B-1,0.614,0 10,4-RC-1000-BB1,0.75-RC-1002-BB2-1,RC Small Bore,6B-1,0.614,0 11,12-RC-1112-BB1,0.75-RC-1112-BB1-1,RC Small Bore,6B-1,0.614,0 12,8-RC-1114-BB1,0.75-RC-1114-BB1-1,RC Small Bore,6B-1,0.614,0 13,12-RC-1125-BB1,0.75-RC-1125-BB1-1,SI-ACC-CL1 Small Bore,6B-1,0.614,0 14,12-RC-1125-BB1,0.75-RC-1125-BB1-2,SI-ACC-CL1 Small Bore,6B-1,0.614,0 15,4-RC-1126-BB1,0.75-RC-1126-BB1-1,RC Small Bore,6B-1,0.614,0 16,12-RC-1212-BB1,0.75-RC-1212-BB1-1,RC Small Bore,6B-1,0.614,0 17,8-RC-1214-BB1,0.75-RC-1214-BB1-1,RC Small Bore,6B-1,0.614,0 18,12-RC-1221-BB1,0.75-RC-1221-BB1-1,SI-ACC-CL2 Small Bore,6B-1,0.614,0 19,12-RC-1221-BB1,0.75-RC-1221-BB1-2,SI-ACC-CL2 Small Bore,6B-1,0.614,0 20,12-RC-1312-BB1,0.75-RC-1312-BB1-1,RC Small Bore,6B-1,0.614,0 21,8-RC-1324-BB1,0.75-RC-1324-BB1-1,RC Small Bore,6B-1,0.614,0 22,4-RC-1422-BB1,0.75-RC-1423-BB1-1,RC Small Bore,6B-1,0.614,0 23,8-SI-1108-BB1,0.75-SI-1130-BB2-1,RC Small Bore,6B-1,0.614,0 24,12-SI-1125-BB1,0.75-SI-1132-BB1-1,RC Small Bore,6B-1,0.614,0 25,12-SI-1218-BB1,0.75-SI-1218-BB1-1,SI Small Bore,6B-1,0.614,0 26,8-SI-1208-BB1,0.75-SI-1223-BB2-1,RC Small Bore,6B-1,0.614,0 27,12-SI-1315-BB1,0.75-SI-1315-BB1-1,SI-ACC Small Bore,6B-1,0.614,0 28,12-SI-1315-BB1,0.75-SI-1323-BB1-1,SI-ACC Small Bore,6B-1,0.614,0 29,6-SI-1327-BB1,0.75-SI-1327-BB1-1,SI Small Bore,6B-1,0.614,0 30,8-SI-1327-BB1,0.75-SI-1327-BB1-2,SI Small Bore,6B-1,0.614,0 31,8-SI-1327-BB1,0.75-SI-1327-BB1-3,SI Small Bore,6B-1,0.614,0 32,8-SI-1327-BB1,0.75-SI-1328-BB2-1,SI Small Bore,6B-1,0.614,0 33,6-RC-1003-BB1,1-RC-1003-BB1-1,RC Small Bore,6B-2,0.815,0 34,4-RC-1123-BB1,1-RC-1123-BB1-1,RC Small Bore,6B-2,0.815,0 35,4-RC-1422-BB1,1-RC-1422-BB1-1,RC Small Bore,6B-2,0.815,0 36,16-RC-1412-NSS,1.5-RC-1412-NSS-1,RC,6A-1,1.338,0 37,2(1.5)-CV-1122-BB1,2(1.5)-CV-1122-BB1-1,CV - RCP1A,8C-1,1.338,0 38,2(1.5)-CV-1122-BB1,2(1.5)-CV-1122-BB1-2,CV - RCP1A,8C-1,1.338,0 39,2(1.5)-CV-1124-BB1,2(1.5)-CV-1124-BB1-1,CV - RCP1B,8C-1,1.338,0 40,2(1.5)-CV-1124-BB1,2(1.5)-CV-1124-BB1-2,CV - RCP1B,8C-1,1.338,0 41,2(1.5)-CV-1126-BB1,2(1.5)-CV-1126-BB1-1,CV - RCP1C,8C-1,1.338,0 42,2(1.5)-CV-1126-BB1,2(1.5)-CV-1126-BB1-2,CV - RCP1C,8C-1,1.338,0 43,2(1.5)-CV-1128-BB1,2(1.5)-CV-1128-BB1-1,CV - RCP1D,8C-1,1.338,0 44,2(1.5)-CV-1128-BB1,2(1.5)-CV-1128-BB1-2,CV - RCP1D,8C-1,1.338,0 Wednesday 29th April, 2015, 07:45 89 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 90 of 173 pages 45,2-CV-1121-BB1,2-CV-1121-BB1-1,CV - PZR Auxiliary Spray Line,8A,1.689,0 46,2-CV-1121-BB1,2-CV-1121-BB1-2,CV - PZR Auxiliary Spray Line,8A,1.689,0 47,2-CV-1121-BB1,2-CV-1121-BB1-3,CV - PZR Auxiliary Spray Line,8A,1.689,0 48,2-CV-1122-BB1,2-CV-1122-BB1-1,CV - RCP1A,8C-2,1.689,0 49,2-CV-1122-BB1,2-CV-1122-BB1-2,CV - RCP1A,8C-2,1.689,0 50,2-CV-1122-BB1,2-CV-1122-BB1-3,CV - RCP1A,8C-2,1.689,0 51,2-CV-1122-BB1,2-CV-1122-BB1-4,CV - RCP1A,8C-2,1.689,0 52,2-CV-1122-BB1,2-CV-1122-BB1-5,CV - RCP1A,8C-2,1.689,0 53,2-CV-1122-BB1,2-CV-1122-BB1-6,CV - RCP1A,8C-2,1.689,0 54,2-CV-1124-BB1,2-CV-1124-BB1-1,CV - RCP1B,8C-2,1.689,0 55,2-CV-1124-BB1,2-CV-1124-BB1-2,CV - RCP1B,8C-2,1.689,0 56,2-CV-1124-BB1,2-CV-1124-BB1-3,CV - RCP1B,8C-2,1.689,0 57,2-CV-1124-BB1,2-CV-1124-BB1-4,CV - RCP1B,8C-2,1.689,0 58,2-CV-1124-BB1,2-CV-1124-BB1-5,CV - RCP1B,8C-2,1.689,0 59,2-CV-1124-BB1,2-CV-1124-BB1-6,CV - RCP1B,8C-2,1.689,0 60,2-CV-1124-BB1,2-CV-1124-BB1-7,CV - RCP1B,8C-2,1.689,0 61,2-CV-1124-BB1,2-CV-1124-BB1-8,CV - RCP1B,8C-2,1.689,0 62,2-CV-1124-BB1,2-CV-1124-BB1-9,CV - RCP1B,8C-2,1.689,0 63,2-CV-1124-BB1,2-CV-1124-BB1-10,CV - RCP1B,8C-2,1.689,0 64,2-CV-1124-BB1,2-CV-1124-BB1-11,CV - RCP1B,8C-2,1.689,0 65,2-CV-1124-BB1,2-CV-1124-BB1-12,CV - RCP1B,8C-2,1.689,0 66,2-CV-1124-BB1,2-CV-1124-BB1-13,CV - RCP1B,8C-2,1.689,0 67,2-CV-1126-BB1,2-CV-1126-BB1-1,CV - RCP1C,8C-2,1.689,0 68,2-CV-1126-BB1,2-CV-1126-BB1-2,CV - RCP1C,8C-2,1.689,0 69,2-CV-1126-BB1,2-CV-1126-BB1-3,CV - RCP1C,8C-2,1.689,0 70,2-CV-1126-BB1,2-CV-1126-BB1-4,CV - RCP1C,8C-2,1.689,0 71,2-CV-1126-BB1,2-CV-1126-BB1-5,CV - RCP1C,8C-2,1.689,0 72,2-CV-1126-BB1,2-CV-1126-BB1-6,CV - RCP1C,8C-2,1.689,0 73,2-CV-1126-BB1,2-CV-1126-BB1-7,CV - RCP1C,8C-2,1.689,0 74,2-CV-1126-BB1,2-CV-1126-BB1-8,CV - RCP1C,8C-2,1.689,0 75,2-CV-1126-BB1,2-CV-1126-BB1-9,CV - RCP1C,8C-2,1.689,0 76,2-CV-1126-BB1,2-CV-1126-BB1-10,CV - RCP1C,8C-2,1.689,0 77,2-CV-1126-BB1,2-CV-1126-BB1-11,CV - RCP1C,8C-2,1.689,0 78,2-CV-1128-BB1,2-CV-1128-BB1-1,CV - RCP1D,8C-2,1.689,0 79,2-CV-1128-BB1,2-CV-1128-BB1-2,CV - RCP1D,8C-2,1.689,0 80,2-CV-1128-BB1,2-CV-1128-BB1-3,CV - RCP1D,8C-2,1.689,0 81,2-CV-1128-BB1,2-CV-1128-BB1-3A,CV - RCP1D,8C-2,1.689,0 82,2-CV-1128-BB1,2-CV-1128-BB1-3B,CV - RCP1D,8C-2,1.689,0 83,2-CV-1128-BB1,2-CV-1128-BB1-4,CV - RCP1D,8C-2,1.689,0 84,2-CV-1128-BB1,2-CV-1128-BB1-5,CV - RCP1D,8C-2,1.689,0 85,2-CV-1128-BB1,2-CV-1128-BB1-6,CV - RCP1D,8C-2,1.689,0 Wednesday 29th April, 2015, 07:45 90 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 91 of 173 pages 86,2-CV-1128-BB1,2-CV-1128-BB1-7,CV - RCP1D,8C-2,1.689,0 87,2-CV-1141-BB1,2-CV-1141-BB1-1,CV - RC Crossover-4,8A,1.689,0 88,2-CV-1141-BB1,2-CV-1141-BB1-2,CV - RC Crossover-4,8A,1.689,0 89,2-RC-1003-BB1,2-RC-1003-BB1-1,PZR Auxiliary Spray Line,5J,1.689,0 90,2-RC-1003-BB1,2-RC-1003-BB1-2,PZR Auxiliary Spray Line,5J,1.689,0 91,2-RC-1120-BB1,2-RC-1120-BB1-1,RC,7K,1.689,0 92,2-RC-1120-BB1,2-RC-1120-BB1-2,RC,6A-2,1.689,0 93,2-RC-1121-BB1,2-RC-1121-BB1-1,RC,6A-2,1.689,0 94,2-RC-1121-BB1,2-RC-1121-BB1-2,RC,6A-2,1.689,0 95,2-RC-1121-BB1,2-RC-1121-BB1-3,RC,6A-2,1.689,0 96,2-RC-1121-BB1,2-RC-1121-BB1-3A,RC Drain,6A-2,1.689,0 97,2-RC-1121-BB1,2-RC-1121-BB1-3B,RC Drain,6A-2,1.689,0 98,2-RC-1121-BB1,2-RC-1121-BB1-4,RC,6A-2,1.689,0 99,2-RC-1219-BB1,2-RC-1219-BB1-1,RC,7K,1.689,0 100,2-RC-1219-BB1,2-RC-1219-BB1-2,RC,6A-2,1.689,0 101,2-RC-1220-BB1,2-RC-1220-BB1-1,RC,6A-2,1.689,0 102,2-RC-1220-BB1,2-RC-1220-BB1-2,RC,6A-2,1.689,0 103,2-RC-1220-BB1,2-RC-1220-BB1-3,RC,6A-2,1.689,0 104,2-RC-1220-BB1,2-RC-1220-BB1-4,RC,6A-2,1.689,0 105,2-RC-1319-BB1,2-RC-1319-BB1-1,RC,7K,1.689,0 106,2-RC-1319-BB1,2-RC-1319-BB1-2,RC,6A-2,1.689,0 107,2-RC-1321-BB1,2-RC-1321-BB1-1,RC,6A-2,1.689,0 108,2-RC-1321-BB1,2-RC-1321-BB1-4,RC,6A-2,1.689,0 109,2-RC-1321-BB1,2-RC-1321-BB1-5,RC,6A-2,1.689,0 110,2-RC-1321-BB1,2-RC-1321-BB1-6,RC,6A-2,1.689,0 111,2-RC-1417-BB1,2-RC-1417-BB1-1,RC,7K,1.689,0 112,2-RC-1417-BB1,2-RC-1417-BB1-2,RC,6A-2,1.689,0 113,2-RC-1418-BB1,2-RC-1418-BB1-1,RC,6A-2,1.689,0 114,2-RC-1418-BB1,2-RC-1418-BB1-2,CV - RC Crossover-4,8A,1.689,0 115,2-RC-1418-BB1,2-RC-1418-BB1-3,CV - RC Crossover-4,8A,1.689,0 116,2-RC-1418-BB1,2-RC-1418-BB1-4,RC,6A-2,1.689,0 117,2-RC-1418-BB1,2-RC-1418-BB1-5,RC,6A-2,1.689,0 118,2-RC-1418-BB1,2-RC-1418-BB1-6,RC,6A-2,1.689,0 119,2-RC-1419-BB1,2-RC-1419-BB1-1,CV - RC Crossover-4,8A,1.689,0 120,2-RC-1419-BB1,2-RC-1419-BB1-2,CV - RC Crossover-4,8A,1.689,0 121,2-RC-1419-BB1,2-RC-1419-BB1-3,CV - RC Crossover-4,8A,1.689,0 122,2-RC-1419-BB1,2-RC-1419-BB1-4,RC,6A-2,1.689,0 123,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-5,RC,7K,1.689,0 124,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-6,RC,7K,1.689,0 125,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-5,RC,7K,1.689,0 126,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-7,RC,7K,1.689,0 Wednesday 29th April, 2015, 07:45 91 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 92 of 173 pages 127,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-5,RC,7K,1.689,0 128,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-5,RC,7K,1.689,0 129,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-7,RC,7K,1.689,0 130,2.5-RC-1003-BB1,2.5-RC-1003-BB1-1,Pressurizer Surge Line,4D,2.125,0 131,2.5-RC-1003-BB1,2.5-RC-1003-BB1-2,Pressurizer Surge Line,4D,2.125,0 132,2.5-RC-1003-BB1,2.5-RC-1003-BB1-3,Pressurizer Surge Line,4D,2.125,0 133,2.5-RC-1003-BB1,2.5-RC-1003-BB1-4,Pressurizer Surge Line,4D,2.125,0 134,2.5-RC-1003-BB1,2.5-RC-1003-BB1-5,Pressurizer Surge Line,4D,2.125,0 135,2.5-RC-1003-BB1,2.5-RC-1003-BB1-6,Pressurizer Surge Line,4D,2.125,0 136,3-RC-1003-BB1,3-RC-1003-BB1-1,PZR Auxiliary Spray Line,5B,2.626,0 137,3-RC-1003-BB1,3-RC-1003-BB1-2,PZR Auxiliary Spray Line,5B,2.626,0 138,3-RC-1015-NSS,3-RC-1015-NSS-1,Pressurizer PORV Line,5D,2.626,0 139,3-RC-1015-NSS,3-RC-1015-NSS-2,Pressurizer PORV Line,5D,2.626,0 140,3-RC-1015-NSS,3-RC-1015-NSS-3,Pressurizer PORV Line,5B,2.626,0 141,3-RC-1015-NSS,3-RC-1015-NSS-4,Pressurizer PORV Line,5B,2.626,0 142,3-RC-1015-NSS,3-RC-1015-NSS-5,Pressurizer PORV Line,5B,2.626,0 143,3-RC-1015-NSS,3-RC-1015-NSS-6,Pressurizer PORV Line,5B,2.626,0 144,3-RC-1015-NSS,3-RC-1015-NSS-7,Pressurizer PORV Line,5B,2.626,0 145,3-RC-1015-NSS,3-RC-1015-NSS-8,Pressurizer PORV Line,5B,2.626,0 146,3-RC-1015-NSS,3-RC-1015-NSS-9,Pressurizer PORV Line,5D,2.626,0 147,3-RC-1015-NSS,3-RC-1015-NSS-10,Pressurizer PORV Line,5D,2.626,0 148,3-RC-1015-NSS,3-RC-1015-NSS-11,Pressurizer PORV Line,5B,2.626,0 149,3-RC-1015-NSS,3-RC-1015-NSS-12,Pressurizer PORV Line,5B,2.626,0 150,3-RC-1015-NSS,3-RC-1015-NSS-13,Pressurizer PORV Line,5B,2.626,0 151,3-RC-1015-NSS,3-RC-1015-NSS-14,Pressurizer PORV Line,5B,2.626,0 152,3-RC-1015-NSS,3-RC-1015-NSS-15,Pressurizer PORV Line,5B,2.626,0 153,3-RC-1015-NSS,3-RC-1015-NSS-16,Pressurizer PORV Line,5B,2.626,0 154,3-RC-1106-BB1,3-RC-1106-BB1-25,SI - Capped,7J,2.626,0 155,3-RC-1206-BB1,3-RC-1206-BB1-28,SI - Capped,7J,2.626,0 156,3-RC-1306-BB1,3-RC-1306-BB1-28,SI - Capped,7J,2.626,0 157,3-RC-1406-BB1,3-RC-1406-BB1-25,SI - Capped,7J,2.626,0 158,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-7,RC,7J,2.626,0 159,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-6,RC,7J,2.626,0 160,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-6,RC,7J,2.626,0 161,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-6,RC,7J,2.626,0 162,4-CV-1001-BB1,4-CV-1001-BB1-1,CV - RC Crossover-3,8B,3.438,0 163,4-CV-1001-BB1,4-CV-1001-BB1-2,CV - RC Crossover-3,8B,3.438,0 164,4-CV-1118-BB1,4-CV-1118-BB1-1,CV - RC Coldleg 1,8B,3.438,0 165,4-CV-1118-BB1,4-CV-1118-BB1-2,CV - RC Coldleg 1,8B,3.438,0 166,4-CV-1120-BB1,4-CV-1120-BB1-1,CV - RC Coldleg 3,8B,3.438,0 167,4-CV-1120-BB1,4-CV-1120-BB1-2,CV - RC Coldleg 3,8B,3.438,0 Wednesday 29th April, 2015, 07:45 92 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 93 of 173 pages 168,4-RC-1000-BB1,4-RC-1000-BB1-1,Pressurizer Spray,5C,3.438,0 169,4-RC-1000-BB1,4-RC-1000-BB1-2,Pressurizer Spray,5C,3.438,0 170,4-RC-1000-BB1,4-RC-1000-BB1-3,Pressurizer Spray,5C,3.438,0 171,4-RC-1000-BB1,4-RC-1000-BB1-4,Pressurizer Spray,5C,3.438,0 172,4-RC-1000-BB1,4-RC-1000-BB1-5,Pressurizer Spray,5C,3.438,0 173,4-RC-1000-BB1,4-RC-1000-BB1-6,Pressurizer Spray,5C,3.438,0 174,4-RC-1000-BB1,4-RC-1000-BB1-7,Pressurizer Spray,5C,3.438,0 175,4-RC-1000-BB1,4-RC-1000-BB1-8,Pressurizer Spray,5C,3.438,0 176,4-RC-1003-BB1,4-RC-1003-BB1-1,Pressurizer Spray,5C,3.438,0 177,4-RC-1003-BB1,4-RC-1003-BB1-2,Pressurizer Spray,5C,3.438,0 178,4-RC-1003-BB1,4-RC-1003-BB1-3,Pressurizer Spray,5C,3.438,0 179,4-RC-1003-BB1,4-RC-1003-BB1-4,Pressurizer Spray,5C,3.438,0 180,4-RC-1123-BB1,4-RC-1123-BB1-1,Pressurizer Spray,5I,3.438,0 181,4-RC-1123-BB1,4-RC-1123-BB1-2,Pressurizer Spray,5C,3.438,0 182,4-RC-1123-BB1,4-RC-1123-BB1-3,Pressurizer Spray,5C,3.438,0 183,4-RC-1123-BB1,4-RC-1123-BB1-4,Pressurizer Spray,5C,3.438,0 184,4-RC-1123-BB1,4-RC-1123-BB1-5,Pressurizer Spray,5C,3.438,0 185,4-RC-1123-BB1,4-RC-1123-BB1-6,Pressurizer Spray,5C,3.438,0 186,4-RC-1123-BB1,4-RC-1123-BB1-7,Pressurizer Spray,5C,3.438,0 187,4-RC-1123-BB1,4-RC-1123-BB1-8,Pressurizer Spray,5C,3.438,0 188,4-RC-1123-BB1,4-RC-1123-BB1-9,Pressurizer Spray,5C,3.438,0 189,4-RC-1123-BB1,4-RC-1123-BB1-10,Pressurizer Spray,5C,3.438,0 190,4-RC-1123-BB1,4-RC-1123-BB1-11,Pressurizer Spray,5C,3.438,0 191,4-RC-1123-BB1,4-RC-1123-BB1-12,Pressurizer Spray,5C,3.438,0 192,4-RC-1123-BB1,4-RC-1123-BB1-13,Pressurizer Spray,5C,3.438,0 193,4-RC-1123-BB1,4-RC-1123-BB1-14,Pressurizer Spray,5C,3.438,0 194,4-RC-1123-BB1,4-RC-1123-BB1-15,Pressurizer Spray,5C,3.438,0 195,4-RC-1123-BB1,4-RC-1123-BB1-16,Pressurizer Spray,5C,3.438,0 196,4-RC-1123-BB1,4-RC-1123-BB1-17,Pressurizer Spray,5C,3.438,0 197,4-RC-1123-BB1,4-RC-1123-BB1-18,Pressurizer Spray,5C,3.438,0 198,4-RC-1123-BB1,4-RC-1123-BB1-19,Pressurizer Spray,5C,3.438,0 199,4-RC-1123-BB1,4-RC-1123-BB1-20,Pressurizer Spray,5C,3.438,0 200,4-RC-1126-BB1,4-RC-1126-BB1-1,CV - RC Coldleg 1,8B,3.438,0 201,4-RC-1126-BB1,4-RC-1126-BB1-2,CV - RC Coldleg 1,8B,3.438,0 202,4-RC-1126-BB1,4-RC-1126-BB1-3,CV - RC Coldleg 1,8B,3.438,0 203,4-RC-1126-BB1,4-RC-1126-BB1-4,CV - RC Coldleg 1,8B,3.438,0 204,4-RC-1126-BB1,4-RC-1126-BB1-5,CV - RC Coldleg 1,8B,3.438,0 205,4-RC-1126-BB1,4-RC-1126-BB1-6,CV - RC Coldleg 1,8E,3.438,0 206,4-RC-1320-BB1,4-RC-1320-BB1-1,CV - RC Crossover-3,8F,3.438,0 207,4-RC-1320-BB1,4-RC-1320-BB1-2,CV - RC Crossover-3,8D,3.438,0 208,4-RC-1320-BB1,4-RC-1320-BB1-3,CV - RC Crossover-3,8D,3.438,0 Wednesday 29th April, 2015, 07:45 93 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 94 of 173 pages 209,4-RC-1320-BB1,4-RC-1320-BB1-4,CV - RC Crossover-3,8D,3.438,0 210,4-RC-1320-BB1,4-RC-1320-BB1-5,CV - RC Crossover-3,8D,3.438,0 211,4-RC-1320-BB1,4-RC-1320-BB1-6,CV - RC Crossover-3,8D,3.438,0 212,4-RC-1320-BB1,4-RC-1320-BB1-7,CV - RC Crossover-3,8D,3.438,0 213,4-RC-1320-BB1,4-RC-1320-BB1-8,CV - RC Crossover-3,8B,3.438,0 214,4-RC-1320-BB1,4-RC-1320-BB1-9,CV - RC Crossover-3,8B,3.438,0 215,4-RC-1320-BB1,4-RC-1320-BB1-10,CV - RC Crossover-3,8B,3.438,0 216,4-RC-1320-BB1,4-RC-1320-BB1-11,CV - RC Crossover-3,8B,3.438,0 217,4-RC-1320-BB1,4-RC-1320-BB1-12,CV - RC Crossover-3,8B,3.438,0 218,4-RC-1323-BB1,4-RC-1323-BB1-1,CV - RC Coldleg 3,8B,3.438,0 219,4-RC-1323-BB1,4-RC-1323-BB1-2,CV - RC Coldleg 3,8B,3.438,0 220,4-RC-1323-BB1,4-RC-1323-BB1-3,CV - RC Coldleg 3,8B,3.438,0 221,4-RC-1323-BB1,4-RC-1323-BB1-4,CV - RC Coldleg 3,8E,3.438,0 222,4-RC-1420-BB1,4-RC-1420-BB1-1,SI,7I,3.438,0 223,4-RC-1422-BB1,4-RC-1422-BB1-1,Pressurizer Spray,5I,3.438,0 224,4-RC-1422-BB1,4-RC-1422-BB1-2,Pressurizer Spray,5C,3.438,0 225,4-RC-1422-BB1,4-RC-1422-BB1-3,Pressurizer Spray,5C,3.438,0 226,4-RC-1422-BB1,4-RC-1422-BB1-4,Pressurizer Spray,5C,3.438,0 227,4-RC-1422-BB1,4-RC-1422-BB1-5,Pressurizer Spray,5C,3.438,0 228,4-RC-1422-BB1,4-RC-1422-BB1-6,Pressurizer Spray,5C,3.438,0 229,4-RC-1422-BB1,4-RC-1422-BB1-7,Pressurizer Spray,5C,3.438,0 230,4-RC-1422-BB1,4-RC-1422-BB1-8,Pressurizer Spray,5C,3.438,0 231,4-RC-1422-BB1,4-RC-1422-BB1-9,Pressurizer Spray,5C,3.438,0 232,4-RC-1422-BB1,4-RC-1422-BB1-10,Pressurizer Spray,5C,3.438,0 233,4-RC-1422-BB1,4-RC-1422-BB1-11,Pressurizer Spray,5C,3.438,0 234,4-RC-1422-BB1,4-RC-1422-BB1-12,Pressurizer Spray,5C,3.438,0 235,4-RC-1422-BB1,4-RC-1422-BB1-13,Pressurizer Spray,5C,3.438,0 236,4-RC-1422-BB1,4-RC-1422-BB1-14,Pressurizer Spray,5C,3.438,0 237,4-RC-1422-BB1,4-RC-1422-BB1-15,Pressurizer Spray,5C,3.438,0 238,4-RC-1422-BB1,4-RC-1422-BB1-16,Pressurizer Spray,5C,3.438,0 239,4-RC-1422-BB1,4-RC-1422-BB1-17,Pressurizer Spray,5C,3.438,0 240,4-RC-1422-BB1,4-RC-1422-BB1-18,Pressurizer Spray,5C,3.438,0 241,4-RC-1422-BB1,4-RC-1422-BB1-19,Pressurizer Spray,5C,3.438,0 242,4-RC-1422-BB1,4-RC-1422-BB1-20,Pressurizer Spray,5C,3.438,0 243,4-RC-1422-BB1,4-RC-1422-BB1-21,Pressurizer Spray,5C,3.438,0 244,4-RC-1422-BB1,4-RC-1422-BB1-22,Pressurizer Spray,5C,3.438,0 245,4-RC-1422-BB1,4-RC-1422-BB1-23,Pressurizer Spray,5C,3.438,0 246,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-3,RC,7I,3.438,0 247,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-5,CV,8E,3.438,0 248,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-4,CV,8E,3.438,0 249,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-3,RC,7I,3.438,0 Wednesday 29th April, 2015, 07:45 94 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 95 of 173 pages 250,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-4,RC,7I,3.438,0 251,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-7,RC,7I,3.438,0 252,6-RC-1003-BB1,6-RC-1003-BB1-1,Pressurizer Spray,5E,5.189,0 253,6-RC-1003-BB1,6-RC-1003-BB1-2,Pressurizer Spray,5E,5.189,0 254,6-RC-1003-BB1,6-RC-1003-BB1-3,Pressurizer Spray,5E,5.189,0 255,6-RC-1003-BB1,6-RC-1003-BB1-4,Pressurizer Spray,5A,5.189,0 256,6-RC-1003-BB1,6-RC-1003-BB1-5,Pressurizer Spray,5A,5.189,0 257,6-RC-1003-BB1,6-RC-1003-BB1-6,Pressurizer Spray,5A,5.189,0 258,6-RC-1003-BB1,6-RC-1003-BB1-7,Pressurizer Spray,5A,5.189,0 259,6-RC-1003-BB1,6-RC-1003-BB1-8,Pressurizer Spray,5A,5.189,0 260,6-RC-1003-BB1,6-RC-1003-BB1-9,Pressurizer Spray,5A,5.189,0 261,6-RC-1003-BB1,6-RC-1003-BB1-9A,Pressurizer Spray,5A,5.189,0 262,6-RC-1003-BB1,6-RC-1003-BB1-9B,Pressurizer Spray,5A,5.189,0 263,6-RC-1003-BB1,6-RC-1003-BB1-10,Pressurizer Spray,5A,5.189,0 264,6-RC-1003-BB1,6-RC-1003-BB1-11,Pressurizer Spray,5A,5.189,0 265,6-RC-1003-BB1,6-RC-1003-BB1-11A,Pressurizer Spray,5A,5.189,0 266,6-RC-1003-BB1,6-RC-1003-BB1-11B,Pressurizer Spray,5A,5.189,0 267,6-RC-1003-BB1,6-RC-1003-BB1-12,Pressurizer Spray,5A,5.189,0 268,6-RC-1003-BB1,6-RC-1003-BB1-13,Pressurizer Spray,5A,5.189,0 269,6-RC-1003-BB1,6-RC-1003-BB1-13A,Pressurizer Spray,5A,5.189,0 270,6-RC-1003-BB1,6-RC-1003-BB1-14,Pressurizer Spray,5H,5.189,0 271,6-RC-1003-BB1,6-RC-1003-BB1-PRZ-1-N2-SE,Pressurizer Spray,5F,5.189,0 272,6-RC-1004-NSS,6-RC-1004-NSS-1,Pressurizer SRV Line,5H,5.189,0 273,6-RC-1004-NSS,6-RC-1004-NSS-2,Pressurizer SRV Line,5E,5.189,0 274,6-RC-1004-NSS,6-RC-1004-NSS-3,Pressurizer SRV Line,5E,5.189,0 275,6-RC-1004-NSS,6-RC-1004-NSS-4,Pressurizer SRV Line,5E,5.189,0 276,6-RC-1004-NSS,6-RC-1004-NSS-5,Pressurizer SRV Line,5A,5.189,0 277,6-RC-1004-NSS,6-RC-1004-NSS-6,Pressurizer SRV Line,5A,5.189,0 278,6-RC-1004-NSS,6-RC-1004-NSS-7,Pressurizer SRV Line,5A,5.189,0 279,6-RC-1004-NSS,6-RC-1004-NSS-PRZ-1-N3-SE,Pressurizer SRV Line,5F,5.189,0 280,6-RC-1009-NSS,6-RC-1009-NSS-1,Pressurizer SRV Line,5H,5.189,0 281,6-RC-1009-NSS,6-RC-1009-NSS-2,Pressurizer SRV Line,5E,5.189,0 282,6-RC-1009-NSS,6-RC-1009-NSS-3,Pressurizer SRV Line,5E,5.189,0 283,6-RC-1009-NSS,6-RC-1009-NSS-4,Pressurizer SRV Line,5E,5.189,0 284,6-RC-1009-NSS,6-RC-1009-NSS-5,Pressurizer SRV Line,5A,5.189,0 285,6-RC-1009-NSS,6-RC-1009-NSS-6,Pressurizer SRV Line,5A,5.189,0 286,6-RC-1009-NSS,6-RC-1009-NSS-7,Pressurizer SRV Line,5A,5.189,0 287,6-RC-1009-NSS,6-RC-1009-NSS-8,Pressurizer SRV Line,5A,5.189,0 288,6-RC-1009-NSS,6-RC-1009-NSS-9,Pressurizer SRV Line,5A,5.189,0 289,6-RC-1009-NSS,6-RC-1009-NSS-PRZ-1-N4C-SE,Pressurizer SRV Line,5F,5.189,0 290,6-RC-1012-NSS,6-RC-1012-NSS-1,Pressurizer SRV Line,5H,5.189,0 Wednesday 29th April, 2015, 07:45 95 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 96 of 173 pages 291,6-RC-1012-NSS,6-RC-1012-NSS-2,Pressurizer SRV Line,5E,5.189,0 292,6-RC-1012-NSS,6-RC-1012-NSS-3,Pressurizer SRV Line,5E,5.189,0 293,6-RC-1012-NSS,6-RC-1012-NSS-4,Pressurizer SRV Line,5E,5.189,0 294,6-RC-1012-NSS,6-RC-1012-NSS-5,Pressurizer SRV Line,5E,5.189,0 295,6-RC-1012-NSS,6-RC-1012-NSS-6,Pressurizer SRV Line,5E,5.189,0 296,6-RC-1012-NSS,6-RC-1012-NSS-7,Pressurizer SRV Line,5A,5.189,0 297,6-RC-1012-NSS,6-RC-1012-NSS-8,Pressurizer SRV Line,5A,5.189,0 298,6-RC-1012-NSS,6-RC-1012-NSS-9,Pressurizer SRV Line,5A,5.189,0 299,6-RC-1012-NSS,6-RC-1012-NSS-10,Pressurizer SRV Line,5A,5.189,0 300,6-RC-1012-NSS,6-RC-1012-NSS-11,Pressurizer SRV Line,5A,5.189,0 301,6-RC-1012-NSS,6-RC-1012-NSS-PRZ-1-N4B-SE,Pressurizer SRV Line,5F,5.189,0 302,6-RC-1015-NSS,6-RC-1015-NSS-1,Pressurizer PORV Line,5E,5.189,0 303,6-RC-1015-NSS,6-RC-1015-NSS-2,Pressurizer PORV Line,5E,5.189,0 304,6-RC-1015-NSS,6-RC-1015-NSS-3,Pressurizer PORV Line,5E,5.189,0 305,6-RC-1015-NSS,6-RC-1015-NSS-4,Pressurizer PORV Line,5E,5.189,0 306,6-RC-1015-NSS,6-RC-1015-NSS-5,Pressurizer PORV Line,5E,5.189,0 307,6-RC-1015-NSS,6-RC-1015-NSS-6,Pressurizer PORV Line,5E,5.189,0 308,6-RC-1015-NSS,6-RC-1015-NSS-7,Pressurizer PORV Line,5E,5.189,0 309,6-RC-1015-NSS,6-RC-1015-NSS-8,Pressurizer PORV Line,5E,5.189,0 310,6-RC-1015-NSS,6-RC-1015-NSS-9,Pressurizer PORV Line,5E,5.189,0 311,6-RC-1015-NSS,6-RC-1015-NSS-10,Pressurizer PORV Line,5E,5.189,0 312,6-RC-1015-NSS,6-RC-1015-NSS-11,Pressurizer PORV Line,5E,5.189,0 313,6-RC-1015-NSS,6-RC-1015-NSS-12,Pressurizer PORV Line,5E,5.189,0 314,6-RC-1015-NSS,6-RC-1015-NSS-13,Pressurizer PORV Line,5E,5.189,0 315,6-RC-1015-NSS,6-RC-1015-NSS-14,Pressurizer PORV Line,5E,5.189,0 316,6-RC-1015-NSS,6-RC-1015-NSS-15,Pressurizer PORV Line,5E,5.189,0 317,6-SI-1108-BB1,6-SI-1108-BB1-1,SI,7H,5.189,0 318,6-SI-1108-BB1,6-SI-1108-BB1-2,SI,7H,5.189,0 319,6-SI-1108-BB1,6-SI-1108-BB1-3,SI,7H,5.189,0 320,6-SI-1108-BB1,6-SI-1108-BB1-4,SI,7H,5.189,0 321,6-SI-1111-BB1,6-SI-1111-BB1-1,SI,7H,5.189,0 322,6-SI-1111-BB1,6-SI-1111-BB1-2,SI,7H,5.189,0 323,6-SI-1208-BB1,6-SI-1208-BB1-1,SI,7H,5.189,0 324,6-SI-1208-BB1,6-SI-1208-BB1-2,SI,7H,5.189,0 325,6-SI-1208-BB1,6-SI-1208-BB1-3,SI,7H,5.189,0 326,6-SI-1208-BB1,6-SI-1208-BB1-4,SI,7H,5.189,0 327,6-SI-1211-BB1,6-SI-1211-BB1-1,SI,7H,5.189,0 328,6-SI-1211-BB1,6-SI-1211-BB1-2,SI,7H,5.189,0 329,6-SI-1308-BB1,6-SI-1308-BB1-1,RH,7H,5.189,0 330,6-SI-1308-BB1,6-SI-1308-BB1-2,RH,7H,5.189,0 331,6-SI-1308-BB1,6-SI-1308-BB1-3,RH,7H,5.189,0 Wednesday 29th April, 2015, 07:45 96 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 97 of 173 pages 332,6-SI-1308-BB1,6-SI-1308-BB1-4,RH,7H,5.189,0 333,6-SI-1327-BB1,6-SI-1327-BB1-1,SI,7H,5.189,0 334,6-SI-1327-BB1,6-SI-1327-BB1-2,SI,7H,5.189,0 335,6-SI-1327-BB1,6-SI-1327-BB1-3,SI,7H,5.189,0 336,6-SI-1327-BB1,6-SI-1327-BB1-4,SI,7H,5.189,0 337,6-SI-1327-BB1,6-SI-1327-BB1-5,SI,7H,5.189,0 338,6-SI-1327-BB1,6-SI-1327-BB1-6,SI,7H,5.189,0 339,6-SI-1327-BB1,6-SI-1327-BB1-7,SI,7H,5.189,0 340,8-RC-1114-BB1,8-RC-1114-BB1-1,SI,7B,6.813,0 341,8-RC-1114-BB1,8-RC-1114-BB1-2,SI,7B,6.813,0 342,8-RC-1114-BB1,8-RC-1114-BB1-3,SI,7B,6.813,0 343,8-RC-1114-BB1,8-RC-1114-BB1-4,SI,7G,6.813,0 344,8-RC-1114-BB1,8-RC-1114-BB1-5,SI,7G,6.813,0 345,8-RC-1114-BB1,8-RC-1114-BB1-6,SI,7G,6.813,0 346,8-RC-1214-BB1,8-RC-1214-BB1-1,SI,7B,6.813,0 347,8-RC-1214-BB1,8-RC-1214-BB1-2,SI,7B,6.813,0 348,8-RC-1214-BB1,8-RC-1214-BB1-3,SI,7B,6.813,0 349,8-RC-1214-BB1,8-RC-1214-BB1-4,SI,7G,6.813,0 350,8-RC-1214-BB1,8-RC-1214-BB1-5,SI,7G,6.813,0 351,8-RC-1214-BB1,8-RC-1214-BB1-6,SI,7G,6.813,0 352,8-RC-1324-BB1,8-RC-1324-BB1-1,SI,7B,6.813,0 353,8-RC-1324-BB1,8-RC-1324-BB1-2,SI,7B,6.813,0 354,8-RC-1324-BB1,8-RC-1324-BB1-3,SI,7B,6.813,0 355,8-RC-1324-BB1,8-RC-1324-BB1-4,SI,7G,6.813,0 356,8-RC-1324-BB1,8-RC-1324-BB1-5,SI,7G,6.813,0 357,8-RC-1324-BB1,8-RC-1324-BB1-6,SI,7G,6.813,0 358,8-RH-1108-BB1,8-RH-1108-BB1-1,RH,7G,6.813,0 359,8-RH-1108-BB1,8-RH-1108-BB1-2,RH,7G,6.813,0 360,8-RH-1112-BB1,8-RH-1112-BB1-1,RH,7G,6.813,0 361,8-RH-1112-BB1,8-RH-1112-BB1-1A,RH,7G,6.813,0 362,8-RH-1112-BB1,8-RH-1112-BB1-2,RH,7G,6.813,0 363,8-RH-1208-BB1,8-RH-1208-BB1-1,RH,7G,6.813,0 364,8-RH-1208-BB1,8-RH-1208-BB1-2,RH,7G,6.813,0 365,8-RH-1212-BB1,8-RH-1212-BB1-1,RH,7G,6.813,0 366,8-RH-1212-BB1,8-RH-1212-BB1-2,RH,7G,6.813,0 367,8-RH-1308-BB1,8-RH-1308-BB1-1,RH,7G,6.813,0 368,8-RH-1308-BB1,8-RH-1308-BB1-2,RH,7G,6.813,0 369,8-RH-1315-BB1,8-RH-1315-BB1-1,RH,7G,6.813,0 370,8-SI-1108-BB1,8-SI-1108-BB1-1,SI,7G,6.813,0 371,8-SI-1108-BB1,8-SI-1108-BB1-2,SI,7G,6.813,0 372,8-SI-1108-BB1,8-SI-1108-BB1-3,SI,7G,6.813,0 Wednesday 29th April, 2015, 07:45 97 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 98 of 173 pages 373,8-SI-1108-BB1,8-SI-1108-BB1-4,SI,7G,6.813,0 374,8-SI-1108-BB1,8-SI-1108-BB1-5,SI,7C,6.813,0 375,8-SI-1208-BB1,8-SI-1208-BB1-1,SI,7G,6.813,0 376,8-SI-1208-BB1,8-SI-1208-BB1-2,SI,7G,6.813,0 377,8-SI-1208-BB1,8-SI-1208-BB1-3,SI,7G,6.813,0 378,8-SI-1208-BB1,8-SI-1208-BB1-3A,SI,7G,6.813,0 379,8-SI-1208-BB1,8-SI-1208-BB1-4,SI,7C,6.813,0 380,8-SI-1327-BB1,8-SI-1327-BB1-1,SI,7G,6.813,0 381,8-SI-1327-BB1,8-SI-1327-BB1-2,SI,7G,6.813,0 382,8-SI-1327-BB1,8-SI-1327-BB1-3,SI,7G,6.813,0 383,8-SI-1327-BB1,8-SI-1327-BB1-4,SI,7G,6.813,0 384,8-SI-1327-BB1,8-SI-1327-BB1-5,SI,7G,6.813,0 385,8-SI-1327-BB1,8-SI-1327-BB1-6,SI,7G,6.813,0 386,8-SI-1327-BB1,8-SI-1327-BB1-7,SI,7G,6.813,0 387,8-SI-1327-BB1,8-SI-1327-BB1-8,SI,7G,6.813,0 388,8-SI-1327-BB1,8-SI-1327-BB1-9,SI,7G,6.813,0 389,8-SI-1327-BB1,8-SI-1327-BB1-10,SI,7G,6.813,0 390,8-SI-1327-BB1,8-SI-1327-BB1-11,SI,7C,6.813,0 391,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-2,SI,7G,6.813,0 392,29-RC-1201-NSS - LOOP 2,29-RC-1201-NSS-2,SI,7G,6.813,0 393,29-RC-1301-NSS - LOOP 3,29-RC-1301-NSS-2,SI,7G,6.813,0 394,10-RH-1108-BB1,10-RH-1108-BB1-1,RH,7F,8.5,0 395,10-RH-1108-BB1,10-RH-1108-BB1-1A,RH,7F,8.5,0 396,10-RH-1108-BB1,10-RH-1108-BB1-2,RH,7F,8.5,0 397,10-RH-1108-BB1,10-RH-1108-BB1-3,RH,7F,8.5,0 398,10-RH-1108-BB1,10-RH-1108-BB1-4,RH,7F,8.5,0 399,10-RH-1108-BB1,10-RH-1108-BB1-5,RH,7F,8.5,0 400,10-RH-1108-BB1,10-RH-1108-BB1-6,RH,7F,8.5,0 401,10-RH-1108-BB1,10-RH-1108-BB1-7,RH,7F,8.5,0 402,10-RH-1108-BB1,10-RH-1108-BB1-8,RH,7F,8.5,0 403,10-RH-1108-BB1,10-RH-1108-BB1-9,RH,7F,8.5,0 404,10-RH-1108-BB1,10-RH-1108-BB1-10,RH,7F,8.5,0 405,10-RH-1208-BB1,10-RH-1208-BB1-1,RH,7F,8.5,0 406,10-RH-1208-BB1,10-RH-1208-BB1-2,RH,7F,8.5,0 407,10-RH-1208-BB1,10-RH-1208-BB1-3,RH,7F,8.5,0 408,10-RH-1208-BB1,10-RH-1208-BB1-4,RH,7F,8.5,0 409,10-RH-1208-BB1,10-RH-1208-BB1-5,RH,7F,8.5,0 410,10-RH-1208-BB1,10-RH-1208-BB1-6,RH,7F,8.5,0 411,10-RH-1208-BB1,10-RH-1208-BB1-7,RH,7F,8.5,0 412,10-RH-1208-BB1,10-RH-1208-BB1-8,RH,7F,8.5,0 413,10-RH-1208-BB1,10-RH-1208-BB1-9,RH,7F,8.5,0 Wednesday 29th April, 2015, 07:45 98 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 99 of 173 pages 414,10-RH-1208-BB1,10-RH-1208-BB1-10,RH,7F,8.5,0 415,10-RH-1208-BB1,10-RH-1208-BB1-11,RH,7F,8.5,0 416,10-RH-1308-BB1,10-RH-1308-BB1-1,RH,7F,8.5,0 417,10-RH-1308-BB1,10-RH-1308-BB1-2,RH,7F,8.5,0 418,10-RH-1308-BB1,10-RH-1308-BB1-3,RH,7F,8.5,0 419,10-RH-1308-BB1,10-RH-1308-BB1-4,RH,7F,8.5,0 420,10-RH-1308-BB1,10-RH-1308-BB1-5,RH,7F,8.5,0 421,10-RH-1308-BB1,10-RH-1308-BB1-6,RH,7F,8.5,0 422,10-RH-1308-BB1,10-RH-1308-BB1-7,RH,7F,8.5,0 423,10-RH-1308-BB1,10-RH-1308-BB1-8,RH,7F,8.5,0 424,12-RC-1112-BB1,12-RC-1112-BB1-1,RHR-Suction,7E,10.126,0 425,12-RC-1112-BB1,12-RC-1112-BB1-2,RHR-Suction,7A,10.126,0 426,12-RC-1112-BB1,12-RC-1112-BB1-3,RHR-Suction,7A,10.126,0 427,12-RC-1112-BB1,12-RC-1112-BB1-4,RHR-Suction,7A,10.126,0 428,12-RC-1112-BB1,12-RC-1112-BB1-5,RHR-Suction,7A,10.126,0 429,12-RC-1112-BB1,12-RC-1112-BB1-6,RHR-Suction,7A,10.126,0 430,12-RC-1112-BB1,12-RC-1112-BB1-7,RHR-Suction,7A,10.126,0 431,12-RC-1112-BB1,12-RC-1112-BB1-8,RHR-Suction,7A,10.126,0 432,12-RC-1112-BB1,12-RC-1112-BB1-9,RHR-Suction,7E,10.126,0 433,12-RC-1112-BB1,12-RC-1112-BB1-10,RHR-Suction,7E,10.126,0 434,12-RC-1112-BB1,12-RC-1112-BB1-11,RHR-Suction,7E,10.126,0 435,12-RC-1125-BB1,12-RC-1125-BB1-1,SI-ACC-CL1,7N,10.126,0 436,12-RC-1125-BB1,12-RC-1125-BB1-2,SI-ACC-CL1,7N,10.126,0 437,12-RC-1125-BB1,12-RC-1125-BB1-3,SI-ACC-CL1,7N,10.126,0 438,12-RC-1125-BB1,12-RC-1125-BB1-4,SI-ACC-CL1,7N,10.126,0 439,12-RC-1125-BB1,12-RC-1125-BB1-5,SI-ACC-CL1,7N,10.126,0 440,12-RC-1125-BB1,12-RC-1125-BB1-6,SI-ACC-CL1,7N,10.126,0 441,12-RC-1125-BB1,12-RC-1125-BB1-7,SI-ACC-CL1,7N,10.126,0 442,12-RC-1125-BB1,12-RC-1125-BB1-8,SI-ACC-CL1,7N,10.126,0 443,12-RC-1125-BB1,12-RC-1125-BB1-9,SI-ACC-CL1,7N,10.126,0 444,12-RC-1125-BB1,12-RC-1125-BB1-10,SI-ACC-CL1,7N,10.126,0 445,12-RC-1125-BB1,12-RC-1125-BB1-11,SI-ACC-CL1,7N,10.126,0 446,12-RC-1125-BB1,12-RC-1125-BB1-12,SI-ACC-CL1,7N,10.126,0 447,12-RC-1125-BB1,12-RC-1125-BB1-13,SI-ACC-CL1,7N,10.126,0 448,12-RC-1212-BB1,12-RC-1212-BB1-1,RHR-Suction,7E,10.126,0 449,12-RC-1212-BB1,12-RC-1212-BB1-2,RHR-Suction,7A,10.126,0 450,12-RC-1212-BB1,12-RC-1212-BB1-3,RHR-Suction,7A,10.126,0 451,12-RC-1212-BB1,12-RC-1212-BB1-4,RHR-Suction,7A,10.126,0 452,12-RC-1212-BB1,12-RC-1212-BB1-5,RHR-Suction,7A,10.126,0 453,12-RC-1212-BB1,12-RC-1212-BB1-6,RHR-Suction,7A,10.126,0 454,12-RC-1212-BB1,12-RC-1212-BB1-7,RHR-Suction,7A,10.126,0 Wednesday 29th April, 2015, 07:45 99 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 100 of 173 pages 455,12-RC-1212-BB1,12-RC-1212-BB1-8,RHR-Suction,7A,10.126,0 456,12-RC-1221-BB1,12-RC-1221-BB1-1,SI-ACC-CL2,7N,10.126,0 457,12-RC-1221-BB1,12-RC-1221-BB1-2,SI-ACC-CL2,7N,10.126,0 458,12-RC-1221-BB1,12-RC-1221-BB1-3,SI-ACC-CL2,7N,10.126,0 459,12-RC-1221-BB1,12-RC-1221-BB1-4,SI-ACC-CL2,7N,10.126,0 460,12-RC-1221-BB1,12-RC-1221-BB1-5,SI-ACC-CL2,7N,10.126,0 461,12-RC-1221-BB1,12-RC-1221-BB1-6,SI-ACC-CL2,7N,10.126,0 462,12-RC-1221-BB1,12-RC-1221-BB1-7,SI-ACC-CL2,7N,10.126,0 463,12-RC-1221-BB1,12-RC-1221-BB1-8,SI-ACC-CL2,7N,10.126,0 464,12-RC-1221-BB1,12-RC-1221-BB1-9,SI-ACC-CL2,7N,10.126,0 465,12-RC-1221-BB1,12-RC-1221-BB1-10,SI-ACC-CL2,7N,10.126,0 466,12-RC-1221-BB1,12-RC-1221-BB1-11,SI-ACC-CL2,7N,10.126,0 467,12-RC-1221-BB1,12-RC-1221-BB1-12,SI-ACC-CL2,7N,10.126,0 468,12-RC-1221-BB1,12-RC-1221-BB1-13,SI-ACC-CL2,7N,10.126,0 469,12-RC-1221-BB1,12-RC-1221-BB1-14,SI-ACC-CL2,7N,10.126,0 470,12-RC-1312-BB1,12-RC-1312-BB1-1,RH,7E,10.126,0 471,12-RC-1312-BB1,12-RC-1312-BB1-2,RH,7A,10.126,0 472,12-RC-1312-BB1,12-RC-1312-BB1-3,RH,7A,10.126,0 473,12-RC-1312-BB1,12-RC-1312-BB1-4,RH,7A,10.126,0 474,12-RC-1312-BB1,12-RC-1312-BB1-5,RH,7A,10.126,0 475,12-RC-1312-BB1,12-RC-1312-BB1-6,RH,7A,10.126,0 476,12-RC-1312-BB1,12-RC-1312-BB1-7,RH,7A,10.126,0 477,12-RC-1312-BB1,12-RC-1312-BB1-8,RH,7A,10.126,0 478,12-RC-1312-BB1,12-RC-1312-BB1-9,RH,7E,10.126,0 479,12-RC-1312-BB1,12-RC-1312-BB1-10,RH,7E,10.126,0 480,12-RC-1312-BB1,12-RC-1312-BB1-11,RH,7E,10.126,0 481,12-RC-1322-BB1,12-RC-1322-BB1-1,SI-ACC-CL3,7N,10.126,0 482,12-RC-1322-BB1,12-RC-1322-BB1-1A,SI-ACC-CL3,7N,10.126,0 483,12-RC-1322-BB1,12-RC-1322-BB1-2,SI-ACC-CL3,7N,10.126,0 484,12-RC-1322-BB1,12-RC-1322-BB1-3,SI-ACC-CL3,7N,10.126,0 485,12-RC-1322-BB1,12-RC-1322-BB1-4,SI-ACC-CL3,7N,10.126,0 486,12-RH-1101-BB1,12-RH-1101-BB1-1,RH,7E,10.126,0 487,12-RH-1101-BB1,12-RH-1101-BB1-2,RH,7E,10.126,0 488,12-RH-1101-BB1,12-RH-1101-BB1-3,RH,7E,10.126,0 489,12-RH-1101-BB1,12-RH-1101-BB1-3A,RH,7E,10.126,0 490,12-RH-1101-BB1,12-RH-1101-BB1-4,RH,7E,10.126,0 491,12-RH-1101-BB1,12-RH-1101-BB1-5,RH,7E,10.126,0 492,12-RH-1101-BB1,12-RH-1101-BB1-6,RH,7E,10.126,0 493,12-RH-1101-BB1,12-RH-1101-BB1-7,RH,7E,10.126,0 494,12-RH-1101-BB1,12-RH-1101-BB1-8,RH,7E,10.126,0 495,12-RH-1101-BB1,12-RH-1101-BB1-9,RH,7E,10.126,0 Wednesday 29th April, 2015, 07:45 100 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 101 of 173 pages 496,12-RH-1101-BB1,12-RH-1101-BB1-10,RH,7E,10.126,0 497,12-RH-1101-BB1,12-RH-1101-BB1-11,RH,7E,10.126,0 498,12-RH-1101-BB1,12-RH-1101-BB1-12,RH,7E,10.126,0 499,12-RH-1101-BB1,12-RH-1101-BB1-13,RH,7E,10.126,0 500,12-RH-1101-BB1,12-RH-1101-BB1-14,RH,7E,10.126,0 501,12-RH-1101-BB1,12-RH-1101-BB1-15,RH,7E,10.126,0 502,12-RH-1101-BB1,12-RH-1101-BB1-16,RH,7E,10.126,0 503,12-RH-1201-BB1,12-RH-1201-BB1-1,RH,7E,10.126,0 504,12-RH-1201-BB1,12-RH-1201-BB1-2,RH,7E,10.126,0 505,12-RH-1201-BB1,12-RH-1201-BB1-3,RH,7E,10.126,0 506,12-RH-1201-BB1,12-RH-1201-BB1-4,RH,7E,10.126,0 507,12-RH-1201-BB1,12-RH-1201-BB1-5,RH,7E,10.126,0 508,12-RH-1201-BB1,12-RH-1201-BB1-6,RH,7E,10.126,0 509,12-RH-1201-BB1,12-RH-1201-BB1-7,RH,7E,10.126,0 510,12-RH-1201-BB1,12-RH-1201-BB1-8,RH,7E,10.126,0 511,12-RH-1201-BB1,12-RH-1201-BB1-9,RH,7E,10.126,0 512,12-RH-1201-BB1,12-RH-1201-BB1-10,RH,7E,10.126,0 513,12-RH-1201-BB1,12-RH-1201-BB1-11,RH,7E,10.126,0 514,12-RH-1201-BB1,12-RH-1201-BB1-12,RH,7E,10.126,0 515,12-RH-1201-BB1,12-RH-1201-BB1-13,RH,7E,10.126,0 516,12-RH-1201-BB1,12-RH-1201-BB1-14,RH,7E,10.126,0 517,12-RH-1201-BB1,12-RH-1201-BB1-15,RH,7E,10.126,0 518,12-RH-1201-BB1,12-RH-1201-BB1-16,RH,7E,10.126,0 519,12-RH-1201-BB1,12-RH-1201-BB1-17,RH,7E,10.126,0 520,12-RH-1301-BB1,12-RH-1301-BB1-1,RH,7E,10.126,0 521,12-RH-1301-BB1,12-RH-1301-BB1-2,RH,7E,10.126,0 522,12-RH-1301-BB1,12-RH-1301-BB1-3,RH,7E,10.126,0 523,12-RH-1301-BB1,12-RH-1301-BB1-4,RH,7E,10.126,0 524,12-RH-1301-BB1,12-RH-1301-BB1-5,RH,7E,10.126,0 525,12-RH-1301-BB1,12-RH-1301-BB1-5A,RH,7E,10.126,0 526,12-RH-1301-BB1,12-RH-1301-BB1-6,RH,7E,10.126,0 527,12-RH-1301-BB1,12-RH-1301-BB1-7,RH,7E,10.126,0 528,12-RH-1301-BB1,12-RH-1301-BB1-8,RH,7E,10.126,0 529,12-RH-1301-BB1,12-RH-1301-BB1-9,RH,7E,10.126,0 530,12-RH-1301-BB1,12-RH-1301-BB1-10,RH,7E,10.126,0 531,12-SI-1125-BB1,12-SI-1125-BB1-1,SI-ACC-CL1,7O,10.126,0 532,12-SI-1125-BB1,12-SI-1125-BB1-2,SI-ACC-CL1,7O,10.126,0 533,12-SI-1125-BB1,12-SI-1125-BB1-3,SI-ACC-CL1,7O,10.126,0 534,12-SI-1125-BB1,12-SI-1125-BB1-4,SI-ACC-CL1,7O,10.126,0 535,12-SI-1218-BB1,12-SI-1218-BB1-1,SI-ACC-CL2,7O,10.126,0 536,12-SI-1218-BB1,12-SI-1218-BB1-2,SI-ACC-CL2,7O,10.126,0 Wednesday 29th April, 2015, 07:45 101 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 102 of 173 pages 537,12-SI-1218-BB1,12-SI-1218-BB1-3,SI-ACC-CL2,7O,10.126,0 538,12-SI-1218-BB1,12-SI-1218-BB1-4,SI-ACC-CL2,7O,10.126,0 539,12-SI-1315-BB1,12-SI-1315-BB1-1,SI-ACC-CL4,7O,10.126,0 540,12-SI-1315-BB1,12-SI-1315-BB1-2,SI-ACC-CL4,7O,10.126,0 541,12-SI-1315-BB1,12-SI-1315-BB1-3,SI-ACC-CL4,7O,10.126,0 542,12-SI-1315-BB1,12-SI-1315-BB1-4,SI-ACC-CL4,7O,10.126,0 543,12-SI-1315-BB1,12-SI-1315-BB1-5,SI-ACC-CL1,7O,10.126,0 544,12-SI-1315-BB1,12-SI-1315-BB1-6,SI-ACC-CL4,7O,10.126,0 545,12-SI-1315-BB1,12-SI-1315-BB1-7,SI-ACC-CL4,7O,10.126,0 546,12-SI-1315-BB1,12-SI-1315-BB1-8,SI-ACC-CL4,7D,10.126,0 547,12-SI-1315-BB1,12-SI-1315-BB1-9,SI-ACC-CL4,7D,10.126,0 548,12-SI-1315-BB1,12-SI-1315-BB1-10,SI-ACC-CL4,7D,10.126,0 549,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-4,SI-ACC-CL1,7N,10.126,0 550,27.5-RC-1203-NSS - LOOP 2,27.5-RC-1203-NSS-3,SI-ACC-CL2,7N,10.126,0 551,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-3,SI-ACC-CL3,7N,10.126,0 552,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-3,RHR-Suction,7E,10.126,0 553,29-RC-1201-NSS - LOOP 2,29-RC-1201-NSS-3,RC,7E,10.126,0 554,29-RC-1301-NSS - LOOP 3,29-RC-1301-NSS-3,RC,7E,10.126,0 555,16-RC-1412-NSS,16-RC-1412-NSS-1,Pressurizer Surge Line,4B,12.814,12.814 556,16-RC-1412-NSS,16-RC-1412-NSS-3,Pressurizer Surge Line,4B,12.814,0 557,16-RC-1412-NSS,16-RC-1412-NSS-4,Pressurizer Surge Line,4B,12.814,0 558,16-RC-1412-NSS,16-RC-1412-NSS-5,Pressurizer Surge Line,4B,12.814,0 559,16-RC-1412-NSS,16-RC-1412-NSS-6,Pressurizer Surge Line,4B,12.814,0 560,16-RC-1412-NSS,16-RC-1412-NSS-7,Pressurizer Surge Line,4B,12.814,0 561,16-RC-1412-NSS,16-RC-1412-NSS-8,Pressurizer Surge Line,4B,12.814,0 562,16-RC-1412-NSS,16-RC-1412-NSS-9,Pressurizer Surge Line,4C,12.814,0 563,16-RC-1412-NSS,16-RC-1412-NSS-PRZ-1-N1-SE,Pressurizer Surge Line,4A
,12.814,0 564,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-2,Pressurizer Surge Line,4C
,12.814,0 565,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-1,RC Cold Leg 1,3C
,27.5,19.4606 566,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-6,RC Cold Leg 1,3C
,27.5,19.5657 567,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-7,RC Cold Leg 1,3C
,27.5,21.0532 568,27.5-RC-1103-NSS - LOOP 1,27.5-RC-1103-NSS-RPV1-N2ASE,RC Cold Leg 1,3 A,27.5,22.047 569,27.5-RC-1203-NSS - LOOP 2,27.5-RC-1203-NSS-1,RC Cold Leg 2,3C,27.5,0 570,27.5-RC-1203-NSS - LOOP 2,27.5-RC-1203-NSS-4,RC Cold Leg 2,3C,27.5,0 571,27.5-RC-1203-NSS - LOOP 2,27.5-RC-1203-NSS-5,RC Cold Leg 2,3C,27.5,0 Wednesday 29th April, 2015, 07:45 102 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 103 of 173 pages 572,27.5-RC-1203-NSS - LOOP 2,27.5-RC-1203-NSS-RPV1-N2BSE,RC Cold Leg 2,3 A,27.5,0 573,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-1,RC Cold Leg 3,3C,27.5,0 574,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-5,RC Cold Leg 3,3C,27.5,0 575,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-6,RC Cold Leg 3,3C,27.5,0 576,27.5-RC-1303-NSS - LOOP 3,27.5-RC-1303-NSS-RPV1-N2CSE,RC Cold Leg 3,3 A,27.5,0 577,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-1,RC Cold Leg 4,3C,27.5,0 578,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-5,RC Cold Leg 4,3C,27.5,0 579,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-6,RC Cold Leg 4,3C,27.5,0 580,27.5-RC-1403-NSS - LOOP 4,27.5-RC-1403-NSS-RPV1-N2DSE,RC Cold Leg 4,3 A,27.5,0 581,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-1,RC-Hot Leg 1,1B,29,13.9236 582,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-4,RC-Hot Leg 1,1B,29,13.9411 583,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-5.1,RC-Hot Leg 1,1B,29,14.3682 584,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-RPV1-N1ASE,RC-Hot Leg 1,1A
,29,14.404 585,29-RC-1101-NSS - LOOP 1,29-RC-1101-NSS-RSG-1A-IN-SE,RC-Hot Leg 1,2,29,14.4278 586,29-RC-1201-NSS - LOOP 2,29-RC-1201-NSS-1,RC-Hot Leg 2,1B,29,14.4279 587,29-RC-1201-NSS - LOOP 2,29-RC-1201-NSS-4,RC-Hot Leg 2,1B,29,14.4336 588,29-RC-1201-NSS - LOOP 2,29-RC-1201-NSS-5.1,RC-Hot Leg 2,1B,29,14.5424 589,29-RC-1201-NSS - LOOP 2,29-RC-1201-RPV1-N1BSE,RC-Hot Leg 2,1A
,29,15.0515 590,29-RC-1201-NSS - LOOP 2,29-RC-1201-RSG-1B-IN-SE,RC-Hot Leg 2,2,29,15.0866 591,29-RC-1301-NSS - LOOP 3,29-RC-1301-NSS-1,RC-Hot Leg 3,1B,29,15.2938 592,29-RC-1301-NSS - LOOP 3,29-RC-1301-NSS-4,RC-Hot Leg 3,1B,29,15.4956 593,29-RC-1301-NSS - LOOP 3,29-RC-1301-NSS-5.1,RC-Hot Leg 3,1B,29,0 594,29-RC-1301-NSS - LOOP 3,29-RC-1301-RPV1-N1CSE,RC-Hot Leg 3,1A,29,0 595,29-RC-1301-NSS - LOOP 3,29-RC-1301-RSG-1C-IN-SE,RC-Hot Leg 3,2,29,0 596,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-1,RC-Hot Leg 4,1B,29,0 597,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-3,RC-Hot Leg 4,1C,29,0 598,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-4.1,RC-Hot Leg 4,1B,29,0 599,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-RPV1-N1DSE,RC-Hot Leg 4,1A
,29,0 600,29-RC-1401-NSS - LOOP 4,29-RC-1401-NSS-RSG-1D-IN-SE,RC-Hot Leg 4,2,29,0 601,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-1.1,RC Cold Leg 1,3D,31,19.6171 602,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-2,RC Cold Leg 1,3D,31,20.2358 603,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-3,RC Cold Leg 1,3D,31,20.35 604,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-4,RC Cold Leg 1,3D,31,21.1162 Wednesday 29th April, 2015, 07:45 103 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 104 of 173 pages 605,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-8,RC Cold Leg 1,3D,31,21.2781 606,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-9,RC Cold Leg 1,3D,31,22.174 607,31-RC-1102-NSS - LOOP 1,31-RC-1102-NSS-RSG-1A-ON-SE,RC Cold Leg 1,3B
,31,23.169 608,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-1.1,RC Cold Leg 2,3D,31,25.3351 609,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-2,RC Cold Leg 2,3D,31,16.4079 610,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-3,RC Cold Leg 2,3D,31,16.7765 611,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-4,RC Cold Leg 2,3D,31,16.9282 612,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-8,RC Cold Leg 2,3D,31,16.9813 613,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-9,RC Cold Leg 2,3D,31,17.0714 614,31-RC-1202-NSS - LOOP 2,31-RC-1202-NSS-RSG-1B-ON-SE,RC Cold Leg 2,3B
,31,17.2001 615,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-1.1,RC Cold Leg 3,3D,31,17.2398 616,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-2,RC Cold Leg 3,3D,31,17.3454 617,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-3,RC Cold Leg 3,3D,31,17.3737 618,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-4,RC Cold Leg 3,3D,31,17.6362 619,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-8,RC Cold Leg 3,3D,31,17.8428 620,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-9,RC Cold Leg 3,3D,31,17.9194 621,31-RC-1302-NSS - LOOP 3,31-RC-1302-NSS-RSG-1C-ON-SE,RC Cold Leg 3,3B
,31,18.1077 622,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-1.1,RC Cold Leg 4,3D,31,18.1367 623,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-2,RC Cold Leg 4,3D,31,18.1794 624,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-3,RC Cold Leg 4,3D,31,18.1976 625,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-4,RC Cold Leg 4,3D,31,18.3113 626,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-8,RC Cold Leg 4,3D,31,18.3429 627,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-9,RC Cold Leg 4,3D,31,19.235 628,31-RC-1402-NSS - LOOP 4,31-RC-1402-NSS-RSG-1D-ON-SE,RC Cold Leg 4,3B
,31,19.2473 Wednesday 29th April, 2015, 07:45 104 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 105 of 173 pages 12 FIDOE sensitivity study, "xed "ltration A sensitivity study using "xed "ltration values is performed in a updated version of FIDOE designed to accommodate a linear (increase rate, constant rate). The update is eected in the class MassCalculator. In the update, a "xed "ltration can can be obtained by adding the appropriate keyword in the input "le (the c "le) with a zero slope parameter. If a non-zero slope parameter is entered, the "ltration will increase linearly until 1.0 is reached.
The default "ltration "t function will be used in all other cases.
Several cases were developed and run in FIDOE for low, normal, and high initial pool concentrations and low, normal, and high "ows. The assumed "ow levels for the sensitivity are summarized in Table 16. Each of these cases is further examined at four levels of "ltration, 0.4, 0.5, 0.6 and 0.7.
When a FIDOE calculation is executed, the "rst "le generated is an echo in "le which is a print out of each of the parameters read into memory. Note that at the end of the "ow input, there are entries that read nan. nan refers to additional rows that are blank lines that are additional rows in the MS EXCEL.csv "le (not visible during input development).
Table 16: ECCS and CSS train "ow rates assumed for the low, normal, and high sensitivities in FIDOE.
Train Low Normal High A
3300 4400 5500 B
5062.5 6750 8437.5 C
5062.5 6750 8437.5 Listing 13: Source listing for (1c) solution, Alex Zolan, UT Austin, 02 March, 2015 Fiber Diusion Operations Engine (FIDOE)
System of Dierential Equations Solver Alex Zolan Updated March 24, 2015 The purpose of the program is to simulate debris moving through a recirculating pool from which strainers can "lter out some debris, and some of the debris that passes through the strainers may attach itself to the core.
import time import scipy Wednesday 29th April, 2015, 07:45 105 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 106 of 173 pages import scipy.integrate import matplotlib matplotlib.use(Agg) import matplotlib.pyplot as plt import pandas import csv class MassCalculator(object):
"""Note that in initialization, we allow for inputs to be left out of the input "le and still allow the program to run using default values in their place. When a default value is used, a note is printed to the console to inform the user."""
def __init__(self, params):
- pool volume (gallons) and initial mass in pool (grams) if "M_p_0" in params.keys(): self.M_p_0 = params["M_p_0"]
else:
self.M_p_0 = 3000.0 print "M_p_0notininputs.Defaultvalueof3000used."
if "V_p" in params.keys(): self.V_p = params["V_p"]
else:
self.V_p = 50000.0 print "V_pnotininputs.Defaultvalueof50000used."
- Initial mass on strainers if "M_s_a_0" in params.keys(): self.M_s_a_0 = params["M_s_a_0"]
else:
self.M_s_a_0 = 0.0 print "M_s_a_0notininputs.Defaultvalueof0used."
if "M_s_b_0" in params.keys(): self.M_s_b_0 = params["M_s_b_0"]
else:
self.M_s_b_0 = 0.0 print "M_s_b_0notininputs.Defaultvalueof0used."
if "M_s_c_0" in params.keys(): self.M_s_c_0 = params["M_s_c_0"]
else:
self.M_s_c_0 = 0.0 print "M_s_c_0notininputs.Defaultvalueof0used."
- initial mass on core if "M_c_0" in params.keys(): self.M_c_0 = params["M_c_0"]
else:
self.M_c_0 = 0.0 print "M_c_0notininputs.Defaultvalueof0.0used."
Wednesday 29th April, 2015, 07:45 106 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 107 of 173 pages
- gamma, the percentage of water "owing back to the strainers if "gamma_a" in params.keys(): self.gamma_a = params["gamma_a"]
else:
self.gamma_a = 0.0 print "gamma_anotininputs.Defaultvalueof0.0used."
if "gamma_b" in params.keys(): self.gamma_b = params["gamma_b"]
else:
self.gamma_b = 0.0 print "gamma_bnotininputs.Defaultvalueof0.0used."
if "gamma_c" in params.keys(): self.gamma_c = params["gamma_c"]
else:
self.gamma_c = 0.0 print "gamma_cnotininputs.Defaultvalueof0.0used."
- strainer "ow rates in gallons per minute (gpm) if "Q_s_a" in params.keys(): self.Q_s_a = params["Q_s_a"]
else:
self.Q_s_a = 1000.0 print "Q_s_anotininputs.Defaultvalueof1000.0used."
if "Q_s_b" in params.keys(): self.Q_s_b = params["Q_s_b"]
else:
self.Q_s_b = 1000.0 print "Q_s_bnotininputs.Defaultvalueof1000.0used."
if "Q_s_c" in params.keys(): self.Q_s_c = params["Q_s_c"]
else:
self.Q_s_c = 1000.0 print "Q_s_cnotininputs.Defaultvalueof1000.0used."
- core "ow rate in gpm if "Q_c" in params.keys(): self.Q_c = params["Q_c"]
else:
self.Q_c = 1600.0 print "Q_cnotininputs.Defaultvalueof1600.0used."
- "ltration function type de"nition = hybrid or linear function if "function_type" in params.keys(): self."ltration_function = params["
function_type"]
else:
print "Filtrationfunctiontypenotspeci"ed.Defaultofhybrid equationused."
Wednesday 29th April, 2015, 07:45 107 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 108 of 173 pages self."ltration_function = "hybrid"
- for a linear function, read in the slope and intercept.
- if none provided, assume constant "ltration factor of 0.75.
if self."ltration_function== "linear":
if "slope" in params.keys(): self.slope = params["slope"]
else:
self.slope = 0.0 print "slope("ltrationfunction)notininputs.Defaultof0.0 used."
if "intercept" in params.keys(): self.intercept = params["intercept"]
else:
self.intercept = 0.75 print "intercept("ltrationfunction)notininputs.Defaultof 0.75used."
self.m = "N/A" self.b = "N/A" self.threshold = "N/A" self.delta = "N/A" self.a = "N/A"
- We assume the hybrid function if theres anything else speci"ed,
- whether its "hybrid" or anything not "linear" or "hybrid".
else:
if self."ltration_function != "hybrid":
print "Functionnotspeci"edashybridorlinear.Defaultof hybridused."
- "ltration rate (function of mass)b if "m" in params.keys(): self.m = params["m"]
else:
self.m = 0.007741 #lower envelope print "m("ltrationfunction)notininputs.Defaultof0.007741 used."
if "b" in params.keys(): self.b = params["b"]
else:
self.b = 0.6560 #lower envelope print "b("ltrationfunction)notininputs.Defaultof0.6560 used."
if "M_c" in params.keys(): self.threshold = params["M_c"]
else:
self.threshold = 38.5 #lower envelope Wednesday 29th April, 2015, 07:45 108 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 109 of 173 pages print "M_c("ltrationfunction)notininputs.Defaultof38.5 used."
if "delta" in params.keys(): self.delta = params["delta"]
else:
self.delta = 0.02968 #lower envelope print "delta("ltrationfunction)notininputs.Defaultof 0.02968used."
if "a" in params.keys(): self.a = params["a"]
else:
self.a = 1.0 #lower envelope
- this upper bound is not expected to be used in most cases, so it is not
- called out in the console.,
- print "a ("ltration function) not in inputs. Default of 1.0 used."
self.slope = "N/A" self.intercept = "N/A" def getFlowRateStrainerA(self,t):
"""returns the "ow rate out of strainer A, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
if type(self.Q_s_a)== "oat: return self.Q_s_a else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_s_a["t"][0] > t: return 0 for i in range(1,len(self.Q_s_a["t"])):
if self.Q_s_a["t"][i] > t:
return self.Q_s_a["vals"][i-1]
return self.Q_s_a["vals"][-1]
def getFlowRateStrainerB(self,t):
"""returns the "ow rate out of strainer B, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
if type(self.Q_s_b)== "oat: return self.Q_s_b #if the input is a constant, just report that.
else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the Wednesday 29th April, 2015, 07:45 109 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 110 of 173 pages
- last "ow rate given if self.Q_s_b["t"][0] > t: return 0 for i in range(1,len(self.Q_s_b["t"])):
if self.Q_s_b["t"][i] > t:
return self.Q_s_b["vals"][i-1]
return self.Q_s_b["vals"][-1]
def getFlowRateStrainerC(self,t):
"""returns the "ow rate out of strainer C, in gallons per minute.
This function is assumed to be known with respect to time, but currently has only a constant."""
if type(self.Q_s_c)== "oat: return self.Q_s_c else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_s_c["t"][0] > t: return 0 for i in range(1,len(self.Q_s_c["t"])):
if self.Q_s_c["t"][i] > t:
return self.Q_s_c["vals"][i-1]
return self.Q_s_c["vals"][-1]
def getFlowRateCore(self, t):
"""returns the "ow rate through the core, in gallons per minute.
This function is assumed to be known with respect to time."""
if type(self.Q_c)== "oat: return self.Q_c else:
- if not a constant, use the "ow rate just before the time
- period that exceeds the input t. otherwise, use the
- last "ow rate given if self.Q_c["t"][0] > t: return 0 for i in range(1,len(self.Q_c["t"])):
if self.Q_c["t"][i] > t:
return self.Q_c["vals"][i-1]
return self.Q_c["vals"][-1]
def getFiltrationRate(self,mass):
"""returns the "ltration rate (fraction between 0 and 1) of debris through the strainer. (Note the mass is total for a strainer, and there are 20 modules, with the "ltration function relating to the per module mass - so we divide Wednesday 29th April, 2015, 07:45 110 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 111 of 173 pages by 20 to get the per-module mass.
mass -- amount of debris currently on the strainer (grams) retval - fraction between 0 and 1 indicating how the proportion of mass that is caught and added to the strainer if self."ltration_function== "hybrid":
if (mass/20.0) <= self.threshold:
return (mass/20.0)*self.m + self.b else:
return (self.threshold*self.m + self.b) + (self.a - self.threshold*self.m
- self.b) * (1-scipy.exp(-self.delta * ((mass/20.0)-self.threshold)
) )
else:
return min(1.0,(mass/20.0)*self.slope + self.intercept) def getDeltaMassStrainerA(self, masses, t):
"""Calculates the rate of change of mass on strainer A.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- rate of change of mass on Strainer A."""
return self.getFlowRateStrainerA(t) * (masses[0] / self.V_p)
- self.
getFiltrationRate(masses[1])
def getDeltaMassStrainerB(self, masses, t):
"""Calculates the rate of change of mass on strainer B.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- rate of change of mass on Strainer B."""
return self.getFlowRateStrainerB(t) * (masses[0] / self.V_p)
- self.
Wednesday 29th April, 2015, 07:45 111 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 112 of 173 pages getFiltrationRate(masses[2])
def getDeltaMassStrainerC(self, masses, t):
"""Calculates the rate of change of mass on strainer C.
masses -- mass of debris in the dierent parts of the recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- rate of change of mass on Strainer C."""
return self.getFlowRateStrainerC(t) * (masses[0] / self.V_p)
- self.
getFiltrationRate(masses[3])
def getNetPassThroughRate(self,masses,t):
"""Calculates the weighted average pass-through rate of debris through the strainers and to the core.
result is weighted by "ow rate to the core (given by the gamma term and "ow rate).
masses -- mass of debris in the dierent parts of the system:
recirculation system:
masses[0] = Pool (M_p) masses[1] = Strainer A (M_s_A) masses[2] = Strainer B (M_s_B) masses[3] = Strainer C (M_s_C) masses[4] = Core (M_c) t -- time retval -- weighted average of debris "ltered by the strainers"""
if self.getFlowRateStrainerA(t) + self.getFlowRateStrainerB(t) + self.
getFlowRateStrainerC(t)== 0: return 1.0 else: return ( self.getFlowRateStrainerA(t) * (1-self.getFiltrationRate(masses
[1])) * (1-self.gamma_a)
+ self.getFlowRateStrainerB(t) * (1-self.getFiltrationRate(masses
[2])) * (1-self.gamma_b)
+ self.getFlowRateStrainerC(t) * (1-self.getFiltrationRate(masses
[3])) * (1-self.gamma_c) ) / \\
( self.getFlowRateStrainerA(t) * (1-self.gamma_a) +
self.getFlowRateStrainerB(t) * (1-self.gamma_b) +
self.getFlowRateStrainerC(t) * (1-self.gamma_c) )
Wednesday 29th April, 2015, 07:45 112 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 113 of 173 pages def getDeltaMassCore(self, masses, t):
"""Calculates the rate of change of debris on the core."""
return self.getFlowRateCore(t) * (masses[0] / self.V_p) * (self.
getNetPassThroughRate(masses,t))
def getDeltaMassPool(self,masses,t):
"""Calculates the rate of change of debris in the pool."""
return -1.0*( self.getDeltaMassCore(masses,t)
+ self.getDeltaMassStrainerA(masses, t)
+ self.getDeltaMassStrainerB(masses, t)
+ self.getDeltaMassStrainerC(masses, t) )
def getAllDeltas(self, masses, t):
"""Gets the rate of change of debris in all locations."""
return scipy.array( [ self.getDeltaMassPool(masses,t),
self.getDeltaMassStrainerA(masses,t),
self.getDeltaMassStrainerB(masses,t),
self.getDeltaMassStrainerC(masses,t),
self.getDeltaMassCore(masses,t) ] )
def solveForCoreMass(self, t):
"""Runs the ODE integrator from Pythons ODE library, with the delta functions and initial values arranged in order: pool, strainer A, B, C, and Core.
Note: We use the librarys default solver, LSODA, for this set of dierential equations."""
return scipy.integrate.odeint(self.getAllDeltas, scipy.array([self.M_p_0, self.M_s_a_0, self.M_s_b_0, self.M_s_c_0, self.M_c_0]
),
t, mxstep=10000000 )
def printEchoIn(self,"lename = "echoin.csv"):
"""Prints all model parameters to "le. Used for debugging and I/O checking."""
out"le = open("lename,w)
Wednesday 29th April, 2015, 07:45 113 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 114 of 173 pages out"le.write("Modelparametersused:\\n\\n")
out"le.write("FiltrationFunctionType:%s\\n" % self."ltration_function) out"le.write("FiltrationFunctionParameterValues:\\n")
out"le.write("m,%s\\n" % self.m) out"le.write("b,%s\\n" % self.b) out"le.write("M_c,%s\\n" % self.threshold) out"le.write("delta,%s\\n" % self.delta) out"le.write("a,%s\\n\\n" % self.a) out"le.write("slope,%s\\n\\n" % self.slope) out"le.write("intercept,%s\\n\\n" % self.intercept) out"le.write("InitialMassesandStrainerValues:\\n")
out"le.write("M_p_0,%s\\n" % self.M_p_0) out"le.write("V_p,%s\\n" % self.V_p) out"le.write("M_s_a_0,%s\\n" % self.M_s_a_0) out"le.write("M_s_b_0,%s\\n" % self.M_s_b_0) out"le.write("M_s_c_0,%s\\n" % self.M_s_c_0) out"le.write("FlowRatesovertime:\\n")
if type(self.Q_s_a)== "oat: out"le.write("Q_s_a,%s\\n" % self.Q_s_a) else:
out"le.write("t,Q_s_a\\n")
for idx in range(len(self.Q_s_a["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_a["t"][idx],self.Q_s_a["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_s_b)== "oat: out"le.write("Q_s_b,%s\\n" % self.Q_s_b) else:
out"le.write("t,Q_s_b\\n")
for idx in range(len(self.Q_s_b["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_b["t"][idx],self.Q_s_b["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_s_c)== "oat: out"le.write("Q_s_c,%s\\n" % self.Q_s_c) else:
out"le.write("t,Q_s_c\\n")
for idx in range(len(self.Q_s_c["t"])):
out"le.write("%s,%s\\n" % (self.Q_s_c["t"][idx],self.Q_s_c["vals"][
idx]))
out"le.write("\\n")
if type(self.Q_c)== "oat: out"le.write("Q_c,%s\\n" % self.Q_c) else:
out"le.write("t,Q_c\\n")
Wednesday 29th April, 2015, 07:45 114 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 115 of 173 pages for idx in range(len(self.Q_c["t"])):
out"le.write("%s,%s\\n" % (self.Q_c["t"][idx],self.Q_c["vals"][idx]))
out"le.write("\\n")
def ReadParams(time_"lename, initials_"lename):
"""Serves as the input reader for this model. Assumes there is one "le that reads as a table of time-based inputs and another "le with initial and model values. the output is a dictionary that is used to initialize the MassCalculator class.
params = {}
- read in initials and constants "le initials_"le = csv.reader(open(initials_"lename, rU))
for line in initials_"le:
if len(line) > 1:
try: params[line[0)) = "oat(line[1])
except ValueError: params[line[0)) = line[1]
- read in time-based inputs "le time_df = pandas.read_csv(time_"lename)
- print time_df params["Q_s_a"] = {}
params["Q_s_a"]["t"] = time_df.t.values params["Q_s_a"]["vals"] = time_df.Q_s_a.values params["Q_s_b"] = {}
params["Q_s_b"]["t"] = time_df.t.values params["Q_s_b"]["vals"] = time_df.Q_s_b.values params["Q_s_c"] = {}
params["Q_s_c"]["t"] = time_df.t.values params["Q_s_c"]["vals"] = time_df.Q_s_c.values params["Q_c"] = {}
params["Q_c"]["t"] = time_df.t.values params["Q_c"]["vals"] = time_df.Q_c.values return params if __name__== "__main__":
time_"lename = raw_input("Pleaseenterthenameofthetime-indexed inputs"le:")
initials_"lename = raw_input("Pleaseenterthenameoftheconstantinputs "le:")
Wednesday 29th April, 2015, 07:45 115 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 116 of 173 pages timespan = "oat(raw_input("Pleaseenterthedesiredtimespan(minutes):"))
out"le = raw_input("Pleaseentertheresults"lename(noextension):")
time_"lename = "time.csv" initials_"lename = "const.csv" timespan = 1000 out"le = "DEMO"
- create_png = raw_input("Create graph summary of output (y/n)? ")
solver = MassCalculator(ReadParams(time_"lename, initials_"lename))
clock = time.time()
t = scipy.linspace(0,timespan,1001) sol = solver.solveForCoreMass(t).T elapsed = time.time() - clock print "Calculationscompletedin"+str(elapsed)+"seconds.Creatingoutput "les."
- Creating csv table output = open(out"le+".csv",w) output.write("t,M_p,M_s_a,M_s_b,M_s_c,M_c\\n")
for idx in range(len(sol[0])):
output.write(str(t[idx])+","+str(sol[0][idx])+","+str(sol[1][idx])+","+str(sol
[2][idx])+","+str(sol[3][idx])+","+str(sol[4][idx])+"\\n")
output.close()
- Creating 2x2 "gure of plots of debris levels over time.
- If plotting cant be done here, skip this step.
try:
"g, axes = plt.subplots(2,2) axes[0, 0].plot(t,sol[1])
axes[0, 0].set_title(DebrisonstrainerAovertime) axes[0, 1].plot(t,sol[2])
axes[0, 1].set_title(DebrisonstrainerBovertime) axes[1, 0].plot(t,sol[3])
axes[1, 0].set_title(DebrisonstrainerCovertime) axes[1, 1].plot(t,sol[4])
axes[1, 1].set_title(Debrisoncoreovertime) plt.save"g(out"le+".png")
except TypeError: pass
- print model parameters solver.printEchoIn()
Wednesday 29th April, 2015, 07:45 116 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 117 of 173 pages 12.1 Low pool concentration Low pool concentration is de"ned by an ini-tial debris mass of 68181.8 gm and water volume of 600,000 gal. The category of low pool concentration includes the four levels of "ltration and three levels of "ow. The fol-lowing listings correspond to the low pool concentration sensitivities.
12.1.1 Low ECCS "ow Listing 14: Low ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 117 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 118 of 173 pages nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 15: Low ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 Wednesday 29th April, 2015, 07:45 118 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 119 of 173 pages 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 Wednesday 29th April, 2015, 07:45 119 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 120 of 173 pages 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 16: Low ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 Wednesday 29th April, 2015, 07:45 120 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 121 of 173 pages 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 17: Low ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
Wednesday 29th April, 2015, 07:45 121 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 122 of 173 pages M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 122 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 123 of 173 pages nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.1.2 Normal ECCS "ow Listing 18: Normal ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400 8.33,4400 41.67,4400 75.0,4400 108.33,4400 141.67,4400 225.0,4400 308.33,4400 641.67,4400 975.0,4400 1308.33,4400 1641.67,4400 2475.0,4400 6641.67,4400 9975.0,4400 13308.33,4400 16641.67,4400 t,Q_s_b 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 Wednesday 29th April, 2015, 07:45 123 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 124 of 173 pages 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_s_c 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 Listing 19: Normal ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400 8.33,4400 41.67,4400 75.0,4400 108.33,4400 141.67,4400 225.0,4400 308.33,4400 641.67,4400 975.0,4400 1308.33,4400 Wednesday 29th April, 2015, 07:45 124 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 125 of 173 pages 1641.67,4400 2475.0,4400 6641.67,4400 9975.0,4400 13308.33,4400 16641.67,4400 t,Q_s_b 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_s_c 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 Listing 20: Normal ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,68181.82 Wednesday 29th April, 2015, 07:45 125 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 126 of 173 pages V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400 8.33,4400 41.67,4400 75.0,4400 108.33,4400 141.67,4400 225.0,4400 308.33,4400 641.67,4400 975.0,4400 1308.33,4400 1641.67,4400 2475.0,4400 6641.67,4400 9975.0,4400 13308.33,4400 16641.67,4400 t,Q_s_b 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_s_c 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 Listing 21: Low ECCS "ow, 0.7 "ltration Wednesday 29th April, 2015, 07:45 126 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 127 of 173 pages Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400 8.33,4400 41.67,4400 75.0,4400 108.33,4400 141.67,4400 225.0,4400 308.33,4400 641.67,4400 975.0,4400 1308.33,4400 1641.67,4400 2475.0,4400 6641.67,4400 9975.0,4400 13308.33,4400 16641.67,4400 t,Q_s_b 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_s_c 0.0,6750 8.33,6750 41.67,6750 75.0,6750 108.33,6750 141.67,6750 225.0,6750 308.33,6750 641.67,6750 975.0,6750 1308.33,6750 1641.67,6750 2475.0,6750 6641.67,6750 9975.0,6750 13308.33,6750 16641.67,6750 t,Q_c 0.0,610.0 8.33,565.81 Wednesday 29th April, 2015, 07:45 127 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 128 of 173 pages 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 12.1.3 High ECCS "ow Listing 22: High ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 Wednesday 29th April, 2015, 07:45 128 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 129 of 173 pages 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 23: High ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 Wednesday 29th April, 2015, 07:45 129 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 130 of 173 pages M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 130 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 131 of 173 pages t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 24: High ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 Wednesday 29th April, 2015, 07:45 131 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 132 of 173 pages 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 25: High ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A Wednesday 29th April, 2015, 07:45 132 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 133 of 173 pages slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 Wednesday 29th April, 2015, 07:45 133 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 134 of 173 pages nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.2 Normal pool concentration Normal pool concentration is de"ned by an initial debris mass of 87273 gm and water volume of 500,000 gal. Within the category of normal pool concentration are the four levels of "ltration and three levels of "ow.
The following listings correspond to the nor-mal pool concentration sensitivities.
12.2.1 Low ECCS "ow Listing 26: Low ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 Wednesday 29th April, 2015, 07:45 134 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 135 of 173 pages 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 Wednesday 29th April, 2015, 07:45 135 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 136 of 173 pages 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 27: Low ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 136 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 137 of 173 pages nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 28: Low ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 Wednesday 29th April, 2015, 07:45 137 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 138 of 173 pages 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 Wednesday 29th April, 2015, 07:45 138 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 139 of 173 pages 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 29: Low ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 Wednesday 29th April, 2015, 07:45 139 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 140 of 173 pages 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.2.2 Normal ECCS "ow Listing 30: Normal ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,87272.73 Wednesday 29th April, 2015, 07:45 140 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 141 of 173 pages V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 Wednesday 29th April, 2015, 07:45 141 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 142 of 173 pages 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan Listing 31: Normal ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 142 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 143 of 173 pages nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan Listing 32: Normal ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 Wednesday 29th April, 2015, 07:45 143 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 144 of 173 pages 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 Wednesday 29th April, 2015, 07:45 144 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 145 of 173 pages 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 33: Normal ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 145 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 146 of 173 pages nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.2.3 High ECCS "ow Listing 34: High ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a Wednesday 29th April, 2015, 07:45 146 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 147 of 173 pages 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 Wednesday 29th April, 2015, 07:45 147 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 148 of 173 pages 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 35: High ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 Wednesday 29th April, 2015, 07:45 148 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 149 of 173 pages 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 36: High ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Wednesday 29th April, 2015, 07:45 149 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 150 of 173 pages Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 150 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 151 of 173 pages nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 37: High ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,87272.73 V_p,500000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 Wednesday 29th April, 2015, 07:45 151 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 152 of 173 pages 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 152 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 153 of 173 pages 12.3 High pool concentration sensitivity input High pool concentration is de"ned by an ini-tial debris mass of 113636 gm and water vol-ume of 300,000 gal. The category of high pool concentration includes the four levels of "ltration and three levels of "ow. The fol-lowing listings correspond to the low pool concentration sensitivities.
12.3.1 Low ECCS "ow Listing 38: Low ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 Wednesday 29th April, 2015, 07:45 153 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 154 of 173 pages 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 39: Low ECCS "ow, 0.5 "ltration Model parameters used:
Wednesday 29th April, 2015, 07:45 154 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 155 of 173 pages Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c Wednesday 29th April, 2015, 07:45 155 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 156 of 173 pages 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 40: Low ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 Wednesday 29th April, 2015, 07:45 156 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 157 of 173 pages M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 Wednesday 29th April, 2015, 07:45 157 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 158 of 173 pages nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 41: Low ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,3300.0 8.33,3300.0 41.67,3300.0 75.0,3300.0 108.33,3300.0 141.67,3300.0 225.0,3300.0 308.33,3300.0 641.67,3300.0 975.0,3300.0 1308.33,3300.0 1641.67,3300.0 2475.0,3300.0 6641.67,3300.0 Wednesday 29th April, 2015, 07:45 158 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 159 of 173 pages 9975.0,3300.0 13308.33,3300.0 16641.67,3300.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,5062.5 8.33,5062.5 41.67,5062.5 75.0,5062.5 108.33,5062.5 141.67,5062.5 225.0,5062.5 308.33,5062.5 641.67,5062.5 975.0,5062.5 1308.33,5062.5 1641.67,5062.5 2475.0,5062.5 6641.67,5062.5 9975.0,5062.5 13308.33,5062.5 16641.67,5062.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 Wednesday 29th April, 2015, 07:45 159 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 160 of 173 pages 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.3.2 Normal ECCS "ow Listing 42: Normal ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 160 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 161 of 173 pages t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan Wednesday 29th April, 2015, 07:45 161 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 162 of 173 pages nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 43: Normal ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 Wednesday 29th April, 2015, 07:45 162 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 163 of 173 pages 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 44: Normal ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Wednesday 29th April, 2015, 07:45 163 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 164 of 173 pages Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 Wednesday 29th April, 2015, 07:45 164 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 165 of 173 pages 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 45: Normal ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Wednesday 29th April, 2015, 07:45 165 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 166 of 173 pages Flow Rates over time:
t,Q_s_a 0.0,4400.0 8.33,4400.0 41.67,4400.0 75.0,4400.0 108.33,4400.0 141.67,4400.0 225.0,4400.0 308.33,4400.0 641.67,4400.0 975.0,4400.0 1308.33,4400.0 1641.67,4400.0 2475.0,4400.0 6641.67,4400.0 9975.0,4400.0 13308.33,4400.0 16641.67,4400.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,6750.0 8.33,6750.0 41.67,6750.0 75.0,6750.0 108.33,6750.0 141.67,6750.0 225.0,6750.0 308.33,6750.0 641.67,6750.0 975.0,6750.0 1308.33,6750.0 1641.67,6750.0 2475.0,6750.0 6641.67,6750.0 9975.0,6750.0 13308.33,6750.0 16641.67,6750.0 nan,nan Wednesday 29th April, 2015, 07:45 166 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 167 of 173 pages nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan 12.3.3 High ECCS "ow Listing 46: High ECCS "ow, 0.4 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.4 Initial Masses and Strainer Values:
M_p_0,113636.36 V_p,300000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 Wednesday 29th April, 2015, 07:45 167 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 168 of 173 pages 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 Wednesday 29th April, 2015, 07:45 168 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 169 of 173 pages 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 47: High ECCS "ow, 0.5 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.5 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 Wednesday 29th April, 2015, 07:45 169 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 170 of 173 pages 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 48: High ECCS "ow, 0.6 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A Wednesday 29th April, 2015, 07:45 170 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 171 of 173 pages delta,N/A a,N/A slope,0.0 intercept,0.6 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 Wednesday 29th April, 2015, 07:45 171 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 172 of 173 pages 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Listing 49: High ECCS "ow, 0.7 "ltration Model parameters used:
Filtration Function Type: linear Filtration Function Parameter Values:
m,N/A b,N/A M_c,N/A delta,N/A a,N/A slope,0.0 intercept,0.7 Initial Masses and Strainer Values:
M_p_0,68181.82 V_p,600000.0 M_s_a_0,0.0 M_s_b_0,0.0 M_s_c_0,0.0 Flow Rates over time:
t,Q_s_a 0.0,5500.0 8.33,5500.0 41.67,5500.0 75.0,5500.0 108.33,5500.0 141.67,5500.0 225.0,5500.0 308.33,5500.0 641.67,5500.0 975.0,5500.0 1308.33,5500.0 1641.67,5500.0 2475.0,5500.0 6641.67,5500.0 9975.0,5500.0 13308.33,5500.0 16641.67,5500.0 nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 172 corresponding: keeej@stpegs.com
DRAFT talking points STPNOC RoverD: Risk over Deterministic GSI-191 Assessment 173 of 173 pages nan,nan nan,nan t,Q_s_b 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_s_c 0.0,8437.5 8.33,8437.5 41.67,8437.5 75.0,8437.5 108.33,8437.5 141.67,8437.5 225.0,8437.5 308.33,8437.5 641.67,8437.5 975.0,8437.5 1308.33,8437.5 1641.67,8437.5 2475.0,8437.5 6641.67,8437.5 9975.0,8437.5 13308.33,8437.5 16641.67,8437.5 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan t,Q_c 0.0,610.0 8.33,565.81 41.67,520.19 75.0,419.82 108.33,370.37 141.67,340.83 225.0,319.87 308.33,286.78 641.67,265.56 975.0,220.91 1308.33,197.62 1641.67,182.46 2475.0,171.01 6641.67,151.19 9975.0,107.08 13308.33,90.92 16641.67,80.49 nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan nan,nan Wednesday 29th April, 2015, 07:45 173 corresponding: keeej@stpegs.com