Summary of UK PIE data Richard Moore
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Transcript of Summary of UK PIE data Richard Moore


Date: 11/04/07
Presented by : Jim Gulliford
Summary of UK PIE data
Richard Moore

Slide 3
Overview
Sellafield Dataset Other Data
CERES, UK BUC validation measurements
Consistency, Completeness, UncertaintiesNeed for more data
Classification – suitability for benchmarking Lessons Learned UK participation in OECD-NEA PIE Experts Group

Slide 4
Sellafield Dataset
PIE data used to validate spent fuel inventory calculations to support UK nuclear operations
Database of PIE measurements from around the world
Database includes the results of calculations performedWIMS – TRAIL – FISPIN
Classification of validation data

Slide 5
Sellafield database
Beznau PWR
Zorita PWR
Gosgen PWR
Dodewaard BWR
Hinkley R4 AGR
Hinkley R3 AGR
Hunterston R3 AGR
Hunterston A Magnox
Bradwell Magnox
Obrigheim PWR
Gundrimmingen BWR
Trino PWR
Cooper BWR
Calvert Cliffs PWR
Includes:
Experimental result
Calculated result
C/E
Cooling
Enrichment
Assembly and sample irradiation
Laboratory
Classification
Calculation code and details

Slide 6
LWR PIE Summary
classification (numbers in each group)
ReactorBurnup
(GWd/t)Enrichment
(%) Cooling (yrs) A B C D Total A-D F N/A
AGR 11.0 - 26.0 1.542 - 2.55 0.5 - 3.78 679 - 1 2187 2867 650 10
BWR 17.84 - 55.28 2.53 - 4.94 3.18 - 7.26 - 60 - 16 76 103 123
BWR(MOX) 37.2 - 60.4 6.431(1) 3.18 - 8.25 - 52 - 21 73 21 148
Magnox 3.27 - 8.93 N/A 0.65 - 2.08 - - - 128 128 - 104
PWR 3.45 - 58.75 2.453 - 5.84 1.64 - 17.85 196 - - 1260 1456 34 298
PWR(MOX) 22.37 - 55.644.019 -
6.011(1) 1.92 - 7.03 56 65 110 107 338 129 94

Slide 7
LWR & MOX Data
MOX measurements (LWR)
0
10000
20000
30000
40000
50000
60000
70000
3 3.5 4 4.5 5 5.5 6 6.5 7
Enrichment (Pu/Pu+U+Am)
Irra
dia
tio
n (
MW
d/t
)
UOX measurements (LWR and AGR)
0
10000
20000
30000
40000
50000
60000
70000
0 1 2 3 4 5 6 7
Enrichment (%)
Irra
dia
tio
n (
MW
d/t
)
‘pulled-pin’ samples – not used for benchmarking

Slide 8
Other PIE Data
• Burnup Credit Programmes at Winfrith
• Used to valid WIMS & MONK
• CERES
• Reactivity and PIE measurements on PWR & BWR samples from France & USA
• PIE included analysis of 15 major BUC fission products
• Pre-CERES
• Reactivity and PIE on HEU research reactor fuel, AGR & PWR (Zorita & Besnau) samples
• UK ready to make data available (need to get agreement from US and French partners for CERES data)

Slide 9
CERES Reactivity Measurements – fuel samples
-100.0
-90.0
-80.0
-70.0
-60.0
-50.0
-40.0
-30.0
-20.0
-10.0
0.0
15 25 35 45 55 65
Burnup
Rea
ctiv
ity
(no
rmal
ised
)
Measured
Calculated
Actinide-Only
Irradiated

Slide 10
CERES Reactivity Measurements – FP samples
Main FP Isotope in Sample
CERES Sample Reactivity (C-E)/E
DIMPLE (Assembly II) MINERVE
SCALE ENDF/B-V WIMS7 JEF2.2 WIMS7 JEF2.2
Sm147 -2% 1% 3%
Sm149 -3% -5% -2%
Sm152 -1% 1% -2%
Nd143 -1% -6% -4%
Nd145 1% -1% 0%
Ag109 4% 2% 3%
Gd155 4% 4% 2%
Tc99 5% 7% -3%
Mo95 19% 6% 11%
Rh103 16% 11% 11%
Cs133 (II) 10% 11% 9%
Cs133 (III) 12% 12% 7%
Eu153 19% -9% -10%

Slide 11
CERES PIE Analysis
Isotope C/E
U234 0.90
U235 1.04
U236 1.00
U238 1.00
Pu239 1.08
Pu240 0.97
Pu241 1.04
Am241 0.94
Pu242 0.89
Isotope C/E
Tc99 1.11
Cs133 0.98
Cs135 1.03
Nd143 1.03
Nd144 0.97
Nd145 1.00
Nd146 1.01
Sm147 0.91
Sm148 0.90
Sm149 0.49
Nd150 1.04
Sm150 0.88
Sm151 1.29
Sm152 1.12
Eu153 1.05
Eu155 1.20
Gd155 1.07
• Result for Sm149 appears to be due to problem with measurement. Later PIE work gave much better agreement

Slide 12
Inter lab agreement
Alpha activity ratioCm244/Total alpha (2nd cycle)
0.30
0.50
0.70
0.90
1.10
2E5-7 2E11-2 2E11-4 2E11-7 2L11-7
Sometimes excellent, sometimes not…
Alpha activity ratioCm242/Total alpha (2nd cycle)
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
2E5-7 2E11-2 2E11-4 2E11-7 2L11-7

Slide 13
Inter-lab agreement
For measurements made in two laboratories:
Some studies show up to 77% of results agree to within 2-sigma errors
Statistically it should be 95%
77% is good when compared with other studies:
36% for fission products
22% for actinides
Demonstrates a problem with measurements or uncertainty estimation – need some other means to assess the reliability of validation data.

Slide 14
Data classifications
Class A [Most consistent and reliable data; laboratory cross checks performed and consistent]
Class B [Multiple laboratory measurement on dissolved sample and results consistent]
Class C [Single laboratory measurement on multiple similar samples and results consistent]
Class D [Reliable data as assessed by experts, without laboratory cross check]
Class F [Results unsuitable for validation]

Slide 15
Classification overview
A16%
B23%
C14%
D32%
F15%
A18%
B26%
C17%
D10%
F29%
Actinides
Fission products

Slide 16
Lessons Learned
•Chemical separation process is very delicate – (particularly for Fission Products) good idea to get independent verification
•‘Pulled-pin’ irradiations difficult to analyse – try to avoid if possible
•Rh chemistry difficult – we have experienced problems with sample manufacture and PIE
•Need to do thorough check on completeness of description of irradiation history & environment
•Inconsistent results - measurement uncertainty analysis appears incomplete in some cases (i.e. uncertainties in chemical separation)

Slide 17
UK Participation in PIE Experts Group
•Donation of data as/when available
•Review of other’s contributions
•Seek to identify remaining UK expertise in chemical separation to add to ‘lesson learned’
• Build consensus on reliable experimental techniques
•Benchmark new data and present summary of new and old benchmark results
• Identify gaps in database
• Highlight problem areas in calculations

Slide 18
Finally
Currently investigating whether we can give all this information for use in SFCOMPO
Hopefully we will be able to provide the data soon
Suggest inclusion of similar procedure to ICSBEP where evaluation includes results of ‘indicative’ calculation results
Provides test of completeness of data and gives early indication of gross errors