OVERVIEW - RELAP/SCDAPSIM Presented Dr. Chris Allison.
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Transcript of OVERVIEW - RELAP/SCDAPSIM Presented Dr. Chris Allison.
OVERVIEW - RELAP/SCDAPSIM
Presented Dr. Chris Allison
Outline
• General modeling approaches
• Primary differences between RELAP/SCDAPSIM and– RELAP/MOD3.3– MAAP and MELCOR codes
RELAP5 and SCDAP WERE ORIGINALLY DEVELOPED BY US NRC
• RELAP5 developed for DBA analysis (Late 1970s)– SCDAP (Severe Core Damage Analysis
Package) added in 1980s for SA analysis)
• RELAP/SCDAPSIM developed by ISS/SDTP for commercial applications– Advanced numerics and programming – Standard RELAP5/MOD3.2/3.3 and
SCDAP/RELAP/MOD3.2 models
• Non-equilibrium, two fluid models for hydrodynamics including transport of non-condensable gases
• 2D/3D capability provided through “cross-flow” options• Convective and radiative heat transfer • 1D heat conduction in system structures• Point reactor kinetics
– External 3D kinetics provided through link to user supplied reactor kinetics packages
• Control system, trip logic, and special system components such as valves and pumps
RELAP/MOD3.2 and RELAP/MOD3.3 models used for system TH analysis
• Detailed LWR core components
• Upper plenum structures
• Core debris and molten pools
• Lower plenum debris and vessel structures
SCDAP components/models used for detailed vessel and core behavior
User selects representative fuel rod, control rod/blade and other components for LWR core
• Bundle convective and radiative heat transfer – Radiation absorption by fluid– Bundle deformation/blockage/grid spacer effects on
flow patterns
• 2D heat conduction• Grid spacer heating and melting• Bundle deformation/blockage formation• Liquefaction and failure of core components• Debris/void formation
User defines representative assembly for each flow channel in core
Fuel Rod 1
Control rod
Fuel Rod 2
Water Rod
Representative components can have different power levels
SCDAP fuel rod components use 2D models to predict temperature (r,z), deformation, chemical
interactions and melting
Zr Cladding
UO2 Fuel Pellet
Gap
SCDAP fuel rod components consider failure due to spacer grid interactions, metallic and ceramic
melt relocation, and fragmentation
• 2D heat conduction• Fission product buildup and release• Cladding deformation and rupture• Cladding oxidation and hydrogen production
– Effects of steam availability and vapor diffusion considered
• Zr – spacer grid interactions• UO2 dissolution by molten Zr• Zr melting and relocation• UO2/ZrO2 melting and relocation
SCDAP control rod components use 2D models to predict temperature (r,z), deformation, chemical
interactions and melting
Zr Guide Tube
Ag-In-Cd/B4C Absorber
Gap
SS Sheath
SCDAP BWR control components use 3D models to predict temperature (r,z), deformation, chemical
interactions and melting
Zr Guide Tube
B4C Absorber
Gap between absorber tube and sheath
SS Sheath
Interstitial Gap
SCDAP Ag-In-Cd or B4C control rod/blade models consider early failure of control
structures
• 2D heat conduction• Cladding oxidation and hydrogen production
– Effects of steam availability and vapor diffusion considered
• Zr/SS – control material interactions• Guide tube, cladding, control material melting
and relocation
SCDAP general 2D shroud model tracks behavior of other core components
• LWR SCDAP general shroud model used to model core walls, experimental facility structures– 2D heat conduction– Zr layer oxidation and hydrogen production
• Effects of steam availability and vapor diffusion considered
– Melting and relocation
SCDAP upper plenum models describe heating and melting
• Oxidation– Parabolic rate– Steam starvation
• Heat conduction– Lumped parameter
• Relocation of upper plenum structures into core or lower plenum
SCDAP in-core debris/model pool models describe later stages of core
failure
• Oxidation– Parabolic rate– Steam starvation
• Heat conduction– Lumped parameter (in rubble)– 1D (in metallic blockages)– 1D (molten pool crust perimeter)
SCDAP in-core debris/molten pool models describe formation, growth, and
failure of in-core molten pools• Molten pool behavior
– Radial and axial spreading
– Crust thinning and mechanical failure
• Side wall versus top surface
– Transient natural circulation
– Interactions with shroud wall
SCDAP in-core debris/model pool models describe formation, growth, and
failure of in-core molten pools• Material relocation
– Void formation– Molten pool upper
crust collapse• Mixing of debris/molten
pool
– Relocation of upper plenum structures into core
– Molten pool slumping
SCDAP uses a detailed 2D model to describe behavior of lower plenum
debris/vessel• Heat conduction
– 2D finite element– gap resistance
(solid/melt)– 1D model at crust
boundary perimeter
• Molten pool behavior– Transient natural
circulation– Interactions with vessel
wall
SCDAP uses detailed 2D model to describe behavior of lower plenum
debris/vessel• Creep rupture failure
of vessel wall• Material relocation
– Relocation of upper plenum structures
– Relocation of core component materials
– Molten pool slumping• Ex-vessel flooding
Primary differences between RELAP/SCDAPSIM and RELAP/MOD3.3
• RELAP5/MOD3.3 limited to transients that will not result in core damage– Peak fuel cladding temperatures < 1500 K
(2200 oF)– Limited cladding oxidation (< embrittlement)
• RELAP5/MOD3.3 radiation exchange heat transfer model neglects absorption by fluid
Primary differences between RELAP/SCDAPSIM and RELAP/MOD3.3
• RELAP/SCDAPSIM has detailed core component models for typical LWR/HWR designs– LWR fuel rod– Ag-In-Cd/B4C control rod– BWR control blade model– Electrically-heated fuel rod simulator
• RELAP/SCDAPSIM has upper and lower plenum models for typical LWR designs– Detailed 2D finite element model to describe lower head
• RELAP5/MOD3.3 uses general 1D heat structure model to describe all structures including core and vessel
Primary differences between RELAP/SCDAPSIM and RELAP/MOD3.3
• RELAP5/MOD3.3’s 1D heat conduction model to ignores important phenomena for fuel elements or electrically heated fuel element simulators– Axial conduction – Temperature-dependent electrical resistivity changes on power profile – Burnup/thermal cycling influence on thermal properties – Influence of changes in gap dimensions, fuel rod internal pressure, and
fission product release on fuel-cladding gap conductance – Steam starvation and vapor diffusion limits for cladding oxidation– Zircaloy cladding embrittlement– Fission product release
Note: Boiloff.i sample problem demonstrates differences between RELAP5 and SCDAP fuel rod models (plot)
Primary differences between RELAP/SCDAPSIM and RELAP/MOD3.3
• RELAP5/MOD3.3’s 1D heat conduction model to ignores important phenomena for fuel elements or electrically heated fuel element simulators– Axial conduction – Temperature-dependent electrical resistivity changes on power profile – Burnup/thermal cycling influence on thermal properties – Influence of changes in gap dimensions, fuel rod internal pressure, and
fission product release on fuel-cladding gap conductance – Steam starvation and vapor diffusion limits for cladding oxidation– Zircaloy cladding embrittlement– Fission product release
Note: See boiloff example in “Practical Examples of Severe Accident Analysis” for demonstration of differences between RELAP5 and SCDAP fuel rod models
Primary differences between RELAP/SCDAPSIM and more simplified SA integral codes
• RELAP/SCDAPSIM limited to in-vessel behavior– Source term and containment provided through links to
IMPACT/SAMPSON Modules from NUPEC– RELAP/SCDAPSIM/MOD4 being extended for integrated source
term and containment response
• RELAP/SCDAPSIM computation times are longer than MAAP and comparable to MELCOR– DBA transients typically run 10-20 times faster than real time– Typical SA transients run 1-5 times faster than real time
RELAP/SCDAPSIM allows much more detailed representation of RCS/vessel
• RCS/Vessel nodalization more detailed than historical DBA analysis using RELAP/TRAC– 2D/3D core/vessel – 2D lower plenum/vessel– Detailed 2D core component modeling
• Typical SA input models use– Several hundred TH volumes and RCS heat structures– Five representative assemblies with 2 or more SCDAP
components– Several hundred volumes in 2D lower plenum/vessel mesh
417
418
419
420
409
411
407
413 317 313
324 305
326
303 302
327
602
328
341340
301
342 343
831
HPI
833
LPI
836
ACC
611
CG
612832
834
RCP
601
401402
403
405
404
406
410
422 424 426 428 430 432 434 436 438421
423 425 427
429 431 433 435 437 439
471
470451
MSSV
450
441
MSRV
440MSIV
T/D-AFW-STM
T/D-AFW
MFW
M/D-AFW
416
314316414
306323408412
315
325 304BD
LD
217
218
219
220
209
211
207
117113
124105
126
103102
127
128
141 140
101
142143
611
CG
811
HPI
813
LPI
816
ACC
910RCP
Broken Loop
201202
203
205
204
206
210
222224226228230228234236238 221
223225227
229231233235237239
271
270251
MSSV
250
241
MSRV
240MSIV
T/D-AFW-STM
T/D-AFW
MFW
M/D-AFW
216
902116
123 208212
125104BD
702 704
MSV
710
GV
701
Turbine705
700
745751
TBV
750
741
Steam Generator
215
114SGTR
106
614LOCA
911
415
541
PRV
540
551
PSV
550
561
A-SPRY
560
510
SPRYP
ress
uriz
er
502
503
501
511
Reactor Pressure Vessel
(See Next Page)
Steam Generator
901
Intact Loop
MAAP4 Nodalizationof RCS
SCDAP/RELAP5 Nodalization of RCS
TML with AM and HPI
13: Cold Leg
12: Crossover Leg
9: Hot Leg
10: Tubes Up Flow
11: TubesDown Flow
5: Tubes Down Flow
4: Tubes Up Flow
3: Hot Leg
Pre
ssur
izer
7: Cold Leg
6: Crossover Leg8: Downcomer
Broken LoopIntact Loop
2: UpperPlenum
1:Core
12
1 16 14
13
FROM COLD TO HOT LEGS 10 LEGS
2
75 74 73 72 71
6
83
5
49 39 29 19 59
584
583
582
581
580
RELAP/SCDAPnodalization of4-Loop RPV
2D connections allow for cross flow due to natural circulation or loss of geometry
RELAP/SCDAPSIM models generally more detailed
• 6 equation, non-equilibrium hydro
• 2 D heat conduction• Relocation of Zr-In, Zr-U-
O, (U-Zr)-O2• Grid spacer interactions• Molten pool (U-Zr)-O2
formation, growth, and relocation– Radial, axial (bypass lower
metallic layers)
• quasi-equilibrium hydrodynamics
• 1D lumped parameter• Relocation of Zr-U-O
– –
• Core slumping (user defined temperature)– Axial– User defined (MAAP)
RELAP/SCDAPSIM MAAP/MELCORVS
SCDAP will predict melting over wide range of temperatures
Liquefaction of Structural and Control
Material
Liquefaction of Zr-O-U
Melting of (U-Zr)-O2
MAAP/MELCOR will predict core slumping at user specified temperature
TMI-2 End State
SCDAP can predict molten pool relocation into lower plenum even if core plate
and lower core intact
MAAP/MELCOR
Lower core and plate must slump before upper material can relocate
RELAP/SCDAPSIM models generally more detailed
• Reflood– Oxide spalling
• Accelerated heating, oxidation, melting
• Reflood– Oxide spalling
(MELCOR) • Accelerated heating,
oxidation, melting
– MAAP does not consider oxide spalling
RELAP/SCDAPSIM MAAP/MELCORVS
Oxide spalling during reflood critical to predict
H2 and melt formation
RELAP/SCDAPSIM models generally more detailed
• Reflood– Debris formation– Exterior cooling of molten
pool crusts
• Transient 2D lower plenum debris/vessel heat conduction and molten pool convection– Stratified formation– Homogenous molten pool
• Reflood– Debris formation (user)– Exterior cooling of debris
beds (user)
• Steady state analytic/lumped parameter lower plenum debris/vessel– Stratified formation– Stratified metallic/ceramic
(MAAP)
RELAP/SCDAPSIM MAAP/MELCORVS
Assumptions on lower plenum debris will impact vessel failure
SCDAP
MELCOR
MAAP
Molten pool (mixture)
Layers formed by debris/melt relocation
Layers formed by debris/melt relocation
Structural material
Corium
Gap cooling
RELAP/SCDAPSIM user defined parameters are intentionally limited
• System defined through TH nodalization, selection of representative core and plenum components and nodalization– RELAP5 and SCDAP user guidelines and training
• RELAP5 modeling parameters used to control flow regimes– Established through RELAP5 validation activities
• SCDAP modeling parameters limited to critical areas of modeling uncertainties– Recommended defaults set through validation
activities
MAAP/MELCOR make extensive use of modeling parameters to
adjust basic processes
• Extensive use of user defined parameters make evaluation of trends very difficult
• Scaling of code-to-data comparison results to plant behavior is unclear– Modeling parameters are unique to facility– Conservatism or non-conservatism may be
influenced by user choices