studsvik scandpower temperature modelin… · -30-20-10 0 10 20 30 40 0 10 2030 405060 7080 elapsed...
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![Page 1: Studsvik Scandpower Temperature Modelin… · -30-20-10 0 10 20 30 40 0 10 2030 405060 7080 Elapsed Time (hrs) Axial Flux Imbalance (% I) SIMULATE-3 (old tfu data) SIMULATE-3 (INTERPIN-CS](https://reader033.vdocuments.net/reader033/viewer/2022060707/6072d7f4a0d2832db6740a8d/html5/thumbnails/1.jpg)
CASMO User’s GroupMay 2003Studsvik Scandpower
Kord SmithArt DiGiovineDan HagrmanScott Palmtag
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CASMO User's Group 2003Studsvik Scandpower
• TFU-related data is required input for:- CASMO-4- SIMULATE-3- SIMULATE-3K and SIMULATE-3R
(implicit in XIMAGE and GARDEL)
• Fuel temperature modeling in CMS is intended to be “best estimate” and should be consistent for all CMS codes.
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CASMO User's Group 2003Studsvik Scandpower
• Historically, many customers have used vendor-supplied fuel temperature data which has lead to inconsistencies.
• Vendor data is often driven by considerations of being “conservative” rather than accurate.
• Vendor fuel temperature correlations may be designed for safety/mechanical analysis, not for core-follow or transient analysis.
• Inaccurate data leads to poor CMS predictions of axial offset in Xenon transients, power coefficients, coastdown reactivity, etc.
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CASMO User's Group 2003Studsvik Scandpower
• Studsvik’s INTERPIN code was originally developed to support transient fuel pin analyses at the Studsvik R2 test reactor:– rod pressurization– fission gas release– pellet/clad mechanical interaction
• Fuel temperature predictions are a natural by-product of fuel performance analysis
• In 1991, Studsvik introduced a new steady-state fuel temperature code, INTERPIN-CS, to automatically generate temperature data needed in CMS (SEG.TFU and TAB.TFU tables)
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CASMO User's Group 2003Studsvik Scandpower
• Fuel/cladding conductivity vs. temperature and burnup
• Fuel/cladding thermal expansion• Pellet densification, cracking, swelling, relocation• Fission gas migration (radial and axial)• Fuel/cladding gap conductance (convection,
conduction, emission)• Clad stress/strain• Clad/coolant heat transfer
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CASMO User's Group 2003Studsvik Scandpower
Fuel Pin Changes with Burnup• Attempt to separate densification, swelling and
conductance effects on fuel centerline temperature
• Fuel conductivity vs. burnup based on recent Halden measured fuel centerline temperature data:
• Pins with various gap sizes• Pins with various fission gas inventories
• See 26th CUGM presentations by Hagrman and Dean
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CASMO User's Group 2003Studsvik Scandpower
• Fuel conductivity vs. burnup:– in INTERPIN-CS decreases ~10%– in INTERPIN-3 decreases ~ 40%
(more important now with prevalence of high burnup cores)
• Gaseous convection between fuel and cladding when gap is closed:– INTERPIN-CS decreases substantially with fission gas inventory– INTERPIN-3 nearly independent of fission gas inventory
• Net effect of changes are that fuel temperatures increase at high burnup in INTERPIN-3
(INTERPIN-CS temperatures are ~ constant at high burnup)
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CASMO User's Group 2003Studsvik Scandpower
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CASMO User's Group 2003Studsvik Scandpower
• Assumptions:
– All fuel pins have the same temperature
– Fuel temperature is independent of burnup
– Radial temperature distribution is spatially flat within a fuel pin
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CASMO User's Group 2003Studsvik Scandpower
• CASMO-4 generates nuclear data as a function of instantaneous and historical fuel temperature
– TFU depletions/branches produce data for temperature coefficients and history effects (automatically included in default case matrix)
– Average and pin-to-pin temperature variations are not very important
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CASMO User's Group 2003Studsvik Scandpower
-0.005
-0.004
-0.003
-0.002
-0.001
0.000
0.001
0.002
0.003
0.004
0.005
0 10 20 30 40 50Burnup (MWd/kg)
Rea
ctiv
ity D
iffer
ence
(900
K-80
0K)
Depletion
History
• Higher temperature leads to more Pu-239 production and less U-235 depletion
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CASMO User's Group 2003Studsvik Scandpower
• SEG.TFU and TAB.TFU data tables are used to compute the difference between average fuel temperature and coolant temperature (usually as a function of fuel pin power density and burnup)
• Node-wise coolant temperatures added to compute actual node-averaged fuel temperature
• SIMULATE-3 accounts for fuel temperature and history effects on a node-wise basis since all nodes do not have the same fuel temperature
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CASMO User's Group 2003Studsvik Scandpower
• SIMULATE-3 needs proper Doppler feedback to model pseudo-steady-state conditions
Legend
INTERPIN-3INTERPIN-CS
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CASMO User's Group 2003Studsvik Scandpower
-4%
-3%
-2%
-1%
0 100 200 300 400 500
Time (hours)
Axia
l Flu
x Im
bala
nce
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CASMO User's Group 2003Studsvik Scandpower
-20%
-15%
-10%
-5%
0%
5%
10%
0 100 200 300 400 500
Time (hours)
Axia
l Flu
x Im
bala
nce
IP3 Vendor 1Vendor 2
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CASMO User's Group 2003Studsvik Scandpower
-40
-30
-20
-10
0
10
20
30
40
0 10 20 30 40 50 60 70 80
Elapsed Time (hrs)
Axia
l Flu
x Im
bala
nce
(%�
I)
SIMULATE-3 (old tfu data)
SIMULATE-3 (INTERPIN-CS data)
Measured
• INTERPIN-3 data needed for analysis of Xenon transients
INTERPIN-CSINTERPIN-3Measured
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CASMO User's Group 2003Studsvik Scandpower
MeasuredINTERPIN-CSINTERPIN-3
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CASMO User's Group 2003Studsvik Scandpower
Nine Mile Point Unit 2
-0.146
-5.137
-4.991
PowerDefect
(%�k/k)
1.9%0.077-0.16059Difference
-0.3840.077-0.894836IP3
-0.377Reference-0.734777IPCS
PowerCoefficient
(%�k/k /%P)
HTFU
(%�k/k)
DopplerDefect
(%�k/k)
TFUAVE
(K)
Model
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CASMO User's Group 2003Studsvik Scandpower
• Solve time-dependent radial heat conduction equations for each node, using slightly simpler physical model than used in INTERPIN-3
• Consistent:– Conductivity vs. burnup (Wiesenack)– Conductivity vs. temperature (MATPRO)– Radial profile of fission rate (CASMO-4)– Gas conduction properties (ideal gas)
• Different:– Gap closure model– Solid contact conductance (no contact pressure calculation)– Assume no bulk fission gas release (no high temperature historical effects)
• Net result on fuel temperatures– Steady-state temperatures are ~same in INTERPIN-3 and S3K
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CASMO User's Group 2003Studsvik Scandpower
• “Truth” is a RACER Monte Carlo Calculation using 10 radial rings to approximate quadratic temperature profile
• Doppler reactivity:
Flat Quadratic450- 900K -108 -101450-1350K -111 -105900-1350K -114 -108
• Proper treatment of radial temperature profile lowers Doppler reactivity by ~ 6%.
• Profile effect is small relative to library uncertainties (~ 10%)
� � 52 12 1
1 2
/ 10k k T T xk k�
�
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CASMO User's Group 2003Studsvik Scandpower
• Traditional weighted temperature model:
• Surface/center weighting model overestimates temperature profile effect (-40% vs. -6%)
0.30 0.70eff center surfT T T� �
1350 900 6.74
0.3 2250 0.7 450 0.3 1350 0.7 450 4.634.63/ 6.74 0.68
x x x x
� �
� � � �
�
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CASMO User's Group 2003Studsvik Scandpower
• “Effective Fuel Temperature” model is not recommended in S3K(Physical average temperature is default)
• Internal gap conductance model is default in S3K
• Users can input their own conductance tables vs. temperature and exposure
– Be careful of consistency between vendor-assumed conductivity and conductance models
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CASMO User's Group 2003Studsvik Scandpower
• ~ No change in BOL temperature• ~ 80K increase in MOL temperature• ~ 100K increase in EOL temperature
• More Doppler feedback at high burnup• 15% increase in PWR power coefficient• Xenon transients are more accurate (more
damping)
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CASMO User's Group 2003Studsvik Scandpower
• SSP recommends INTERPIN-3 data to be used consistently throughout CMS for best results.
• Carefully check vendor-supplied fuel temperature data to make sure they are appropriate for your analysis.