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The Advanced Fuel Cycle Initiative Status of Neutronics Modeling

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Title: The Advanced Fuel Cycle Initiative Status of Neutronics Modeling


1
The Advanced Fuel Cycle InitiativeStatus of
Neutronics Modeling
  • Won Sik Yang
  • Argonne National Laboratory
  • NEAMS Reactor Simulation Workshop
  • May 19, 2009

2
Status of Neutronics Analyses
  • Within the current knowledge of physics, theory
    and governing equations are well known
  • Boltzmann equation for neutron transport
  • Bateman equation for fuel composition evolution
  • The coefficients of these equations are
    determined by nuclear data, geometry, and
    composition
  • Nuclear data are for the most part relatively
    well known for the most commonly used nuclides
  • But still improved data are required to reduce
    design uncertainties
  • Geometry and composition have stochastic
    uncertainties and are affected by thermal,
    mechanical, irradiation, and chemical phenomena
  • These coupled phenomena are not as well
    described, and they can dominate the analysis
    errors
  • The challenge in neutronics analysis is to
    determine the solution efficiently by taking into
    account geometric complexity and complicated
    energy dependence of nuclear data

3
Reaction Rate Traverse Example
  • Monte Carlo simulation with MCNP5 (INL)
  • Reaction rate tally uncertainties lt 1
  • C/E values for U-235 fission rate distribution in
    CIRANO-2A (Blanket) and CIRANO-2B (Reflector)
    experiments

4
Negative Reactivity Transients of PHENIX
  • Four unexpected scrams occurred in 1989 - 1990
    due to short negative reactivity transients (200
    ms) with the same signal shape
  • Several potential explanations were given, but
    not satisfactory
  • Experiments are planned for PHENIX end-of-life
    tests for further investigation

5
Generation IV Target Uncertainties
  • Current and Target Uncertainties for sodium
    cooled fast reactors

Parameter Current Uncertainty (SFR) Current Uncertainty (SFR) Targeted Uncertainty
Parameter Input data origin Modeling origin Targeted Uncertainty
Multiplication factor, Keff (?k/k) 1 0.5 0.3
Power peak 1 3 2
Power distribution 1 6 3
Conversion ratio (absolute value in ) 5 2 2
Reactivity coefficients (component) 20 20 10
Control rod worth (total) 5 4 2
Burnup reactivity swing (?k/k) 0.7 0.5 0.3
6
Objectives and Requirements
  • The final objective is to produce an integrated,
    advanced neutronics code that allows the high
    fidelity description of a nuclear reactor and
    simplifies the multi-step design process
  • Integration with thermal-hydraulics and
    structural mechanics analyses to account for
    reactivity feedbacks due to geometry deformation
    accurately
  • Required modeling capabilities
  • Reactivity and power distribution (coupled
    neutron and gamma heating)
  • Non-equilibrium and equilibrium fuel cycle
    analyses
  • Refueling, fuel shuffling, and ex-core models
  • Perturbation and sensitivity analyses
  • Uncertainty analysis and optimization
  • Transient analysis (coupled with T/H and T/M
    analyses)
  • Reactivity coefficients and kinetics parameters
  • Shielding, decay heat, coolant activation and
    dose rate calculations, etc.

7
Selected Approaches
  • Utilize modern computing power and computational
    techniques
  • Meshing, domain decomposition strategies,
    parallel linear solvers, new visualization
    techniques, etc
  • Allow uninterrupted applicability to core design
    work
  • Phased approach for multi-group cross section
    generation
  • Simplified multi-step schemes
  • Online cross section generation
  • Adaptive flux solution options from homogenized
    assembly geometries to fully explicit
    heterogeneous geometries in serial and parallel
    environments
  • Allow the user to smoothly transition from the
    existing homogenization approaches to the
    explicit geometry approach
  • Rapid turn-around time for scoping design
    calculations
  • Detailed models for design refinement and
    benchmarking calculations

8
Adaptive Flux Solution Options
  • Unified geometrical framework
  • Unstructured finite element analysis for coupling
    with structural mechanics and thermal-hydraulics
    codes

9
Flux Solvers Available in UNIC
  • PN2ND
  • Second-order, even-parity transport equation (CG
    solve)
  • 1-D, 2-D, 3-D Cartesian with general reflected
    and vacuum b.c.s
  • Spherical harmonics combined with Serendipity and
    Lagrangian FE
  • SN2ND
  • Second-order even-parity transport equation (CG
    solve)
  • 2-D 3-D Cartesian with general reflected and
    vacuum b.c.s
  • Discrete ordinates combined with Serendipity and
    Lagrangian FE
  • MOCFE
  • First-order transport equation (long
    characteristics)
  • 3-D Cartesian with general reflected and vacuum
    b.c.s
  • Discrete ordinates combined with Serendipity and
    Lagrangian FE
  • NODAL hybrid finite element method for
    structured geometries
  • Will replace nodal diffusion and VARIANT options
    in DIF3D
  • Use as an multi-grid preconditioner for other
    solvers

10
Takeda Benchmark 4
Control Rod In Control Rod Half Control Rod Out
Reference 0.88001 0.00038 0.98340 0.00039 1.09515 0.00040
PN2ND 0.87960 0.98365 1.09599
SN2ND 0.87877 0.98275 1.09494
MOCFE 0.87796 0.98164 1.09353
11
ABTR Whole-Core Calculations
Angular Directions Spatial Mesh Approximation Spatial Mesh Approximation Spatial Mesh Approximation Spatial Mesh Approximation Spatial Mesh Approximation
Angular Directions 78243 113873 461219 671219 785801
32 -241 -233 -69 -64 -59
50 -220 -210 -47 -40 -37
72 -225 -217 -51
98 -216 -207 -43
288 -216
12
ZPPR-15 Critical Experiments
Flux expansion order Scattering order Eigenvalue
P1 P1 0.99258
P3 P3 0.99640
P5 P3 0.99651
Monte Carlo (VIM) Monte Carlo (VIM) 0.996160.00010
Computational Mesh and Example Flux Solutions of
ZPPR-15 Critical Experiment
13
2D OECD/NEA C5G7 Benchmark
Reference 1.18655 0.00010
MOCFE 1.18649
14
Parallel Implementation
  • The scalability to peta-scale computing resources
    has been demonstrated
  • 163,840 cores of BlueGene/P (Argonne)
  • 131,072 cores of XT5 (ORNL)
  • Over 75 weak scalability

Weak Scaling Study by Angle on BlueGene/P (PHENIX
EOL test)
Cores 4p Angles keff Fission Iters. / Time Total Time (sec) Source Update (sec) Weak Scaling
32,768 32 0.96006 23 / 152 3493 2934 100
49,152 48 0.96004 23 / 152 3510 2933 100
65,536 64 0.96007 23 / 153 3526 2934 99
73,728 72 0.96015 23 / 156 3593 2934 97
131,072 128 0.96019 27 / 156 4209 3437 83
163,840 160 0.96019 27 / 173 4676 3436 75
15
Parallel Implementation
Weak Scaling Study by Angle on XT5 (PHENIX EOL
test)
Cores 4p Angles keff Fission Iters. / Time Total Time (sec) Source Update (sec) Effective Weak Scaling
32,768 32 0.96017 25 / 63 1574 851 100
49,152 48 0.96014 22 / 64 1399 746 99
65,536 64 0.96017 22 / 64 1402 745 99
98,304 96 0.96017 25 / 65 1623 847 97
114,688 112 0.96017 26 / 65 1687 882 97
131,072 128 0.96029 28 / 68 1902 948 93
16
PHENIX End-of-Life Experiments
  • Participating in the PHENIX end-of-life
    experiments
  • Whole-core geometry is required (no symmetry)
    using homogenized fuel and explicit control rods
  • Space/angle convergence study completed using
    over 4 billion DOF on up to 163,840 cores of Blue
    Gene/P
  • Energy discretization study is ongoing

0.4 MeV Max/Min1.78 900 eV Max/Min16.9 2 eV Max/Min84.2
600 eV Flux and Radial Mesh
17
ZPR-6 Critical Experiments
  • Two ZPR-6 critical experiments are targeted for
    VV in 2009 (Assemblies 6A and 7)
  • Explicit fuel plate representation allows direct
    comparison to legacy homogenization methods
  • Spatial mesh requirements are large U-235 plates
    are 1/16th in thick
  • Preliminary studies performed on BG/P and Jaguar
    up to 130,000 processors indicate that over 10
    billion DOF will be required to resolve the
    space-angle-energy mesh


18
ZPR-6 Critical Experiments

14 MeV Flux / Mesh
U-235 Plate Power
19
Advanced Multi-group Cross Section Generation
Code MC2-3
  • A modular version has been integrated into UNIC
    for on-line generation of multi-group cross
    sections of each spatial region with given
    material and temperature distribution
  • Standalone code to generate ISOTXS datasets for
    legacy tools
  • Ultrafine group (2082 groups) transport
    calculations
  • Homogeneous mixture, and 1-D slab and cylindrical
    geometries
  • Resolved resonance self-shielding with numerical
    integration of point-wise cross sections using
    the narrow resonance (NR) approximation
  • Unresolved resonance self-shielding with the
    generalized resonance integral method
  • Elastic scattering transfer matrices obtained
    with numerical integration of isotopic scattering
    kernel in ENDF/B data

20
Advanced Multi-group Cross Section Generation
Code MC2-3
  • 1-D hyperfine group (100,000) transport
    capability
  • Consistent P1 transport calculation for entire
    resolved resonance energy range (lt 1 MeV) with
    anisotropic scattering sources
  • Optionally used for accurate resolved resonance
    self-shielding and scattering transfer matrix
    generation
  • Efficient strategy to generate accurate
    multi-group cross sections for heterogeneous
    assembly or full-core calculations is being
    developed by combining various solution options
  • 1-D hyperfine group cell calculation
  • 1-D ultrafine group whole-core calculation (with
    homogenized regions)
  • 2-D MOCFE calculation in several hundred groups

21
MC2-3.0 and Coupling with UNIC
22
Reconstructed Pointwise Cross Sections
(ENDF/B-VII.0)
23
Hyper-Fine-Group Spectrum Calculation
  • Inner core composition of ZPR-6/6A

24
Hyper-Fine-Group vs. Ultra-Fine-Group Spectra
25
LANL Criticality Assembly Benchmarks (UFG
Calculation)
  • Multiplication factors are in an excellent
    agreement within 0.15 ?? by taking into account
    the anisotropy of inelastic scattering

26
MC2-3 vs. VIM for ZPR-6/7 (Standalone UFG
Calculation)
Region VIM MC2-3 (Dk pcm)
Inner Core 1.22945 0.00038 10
Outer Core 1.22482 0.00048 -36
Radial Blanket 0.33513 0.00043 485
Axial Blanket 0.33215 0.00048 440
27
ZPPR-15 Critical Experiments
28
A Realistic View of ZPPR-15 Double Fuel Column
Drawer
29
ZPPR-15 Critical Experiments
  • Three loading configurations of ZPPR-15 Phase A
    were analyzed
  • Loading 15 initial criticality
  • Loading 16 reference configuration for sodium
    void worth measurement
  • Loading 20 configuration with an 18 sodium void
    in part of inner core

VIM - Exp DIF3D - Exp
Data Configuration Experiment VIM ?k, pcm DIF3D Sn ?k, pcm
ENDF/B-V.2 L15 1.00046 0.99647 -399 0.99525 -521
ENDF/B-V.2 L16 0.99627 0.99200 -427 0.99104 -523
ENDF/B-V.2 L20 0.99853 0.99529 -324 0.99428 -425
ENDF/B-V.2 Void Worth (pcm) 226 329   324  
ENDF/B-VII.0       L15 1.00046 0.99985 -61 0.99905 -141
ENDF/B-VII.0       L16 0.99627 0.99571 -56 0.99489 -138
ENDF/B-VII.0       L20 0.99853 0.99742 -111 0.99741 -112
ENDF/B-VII.0       Void Worth (pcm) 226 171   252  
Standard deviations of Experiment and VIM 0.00021 Standard deviations of Experiment and VIM 0.00021 Standard deviations of Experiment and VIM 0.00021 Standard deviations of Experiment and VIM 0.00021
30
Summary
  • An initial version of new multi-group cross
    section generation code MC2-3 has been developed
  • Preliminary tests showed significantly improved
    performance relative to MC2-2
  • Integrated with UNIC for online cross section
    generation
  • Consistent thermal feedbacks
  • Account for spectral transition effects
  • Second order solvers PN2ND and SN2ND have been
    improved
  • SN2ND demonstrated good scalability to gt100,000
    processors
  • Working on enhancing the anisotropic scattering
    iteration
  • Fixing the load imbalance for reflected boundary
    conditions
  • Starting next phase of pre-conditioner
    development
  • p-refinement multi-grid and
  • Algebraic multi-grid beyond that or possibly
    h-refinement

31
Summary
  • First order solver MOCFE
  • Improving parallel performance with Krylov Method
  • Added more elements to ray tracing capabilities
  • Adding back projection for parallel
  • Started NODAL
  • Implement Krylov solution technique to fix some
    convergence problems
  • Eliminate memory problems and 1970s architecture
  • Will investigate energy parallelization on
    multi-core machines (8-32 cores)

32
Backup Slides
33
Perturbation Evaluation with MCNP (LANL)
  • The MCNP perturbation option was used to
    determine the difference in net neutron
    production in every fuel assembly as a resulting
    of reducing
  • Fuel density by 2, cladding density by 5, and
    coolant density by 50
  • While the fuel density reduction showed
    reasonable results, the clad and coolant density
    effects still showed significant statistical
    variations
  • Observed statistical errors are less than 2 for
    the fuel density perturbation
  • However, as large as 41 for the cladding density
    perturbation and 100 for the coolant density
    perturbation
  • Direct perturbation calculations showed even
    worse results
  • Relative statistical uncertainties of the
    re-converged production rates are often above
    50, and in some cases reach 100
  • The re-converged calculation ran 50,000 histories
    per cycle for 160 active cycles, each of which
    took 1000 minutes on a 2.7-GHz Opteron processor

34
Convergence of Assembly Power Distribution
  • NGNP with 60-degree periodic symmetry
  • Core multiplication factor converges relatively
    quickly
  • Power distribution converges very slowly
  • Asymmetric assembly power distribution is
    observed
  • Extremely large number of histories would be
    required for converged pin power distribution

Number of neutron histories Number of neutron histories 100M 20M 5M
Eigenvalue Eigenvalue 1.45598 ? 0.0001 1.45599 ? 0.0002 1.45607 ? 0.0003
CPU time, hr CPU time, hr 1765 360 145
Variation, RMS 0.3 1.6 2.4
Variation, Max 0.6 3.2 5.4
34
35
Depletion with Monte Carlo Method
  • DB-MHR benchmark
  • Cycle length 540 EFPD
  • Total 7 cycles
  • 6 burn steps per cycle (90 days interval)
  • 50K and 100K neutron histories per burn step
  • Note that there are 3 billion fuel particles
  • Comparison of whole core depletions performed by
    GA, BNL, and ANL
  • MONTEBURNS (MCNP5ORIGEN2)
  • Simple cubic lattice model
  • CPU time 40 hours for 50K and 100 hours for
    100K histories
  • Much larger number of histories are required for
    converged flux solutions

35
36
CEA NEPHTIS Verification Results
Control Rod Position Control Rod Worth Control Rod Worth Control Rod Worth
Control Rod Position TRIPOLI4 38 pcm NEPHTIS, Diff. NEPHTIS, Diff.
Control Rod Position TRIPOLI4 38 pcm Homogeneous Heterogeneous
ARI 18,341 0.90 -1.05
ORI 7,083 0.98 0.64
SRI 5,676 -3.87 -3.35
  • APPLO2172-group CP and 28-group MOC calculation
  • CRONOS2 8-group diffusion calculation (finite
    element method)

difference in fission rate distributions from
MCNP4C (3D core)
Heterogeneous Element
36
37
Power Distribution of Fuel Block (CR Inserted)
37
38
Effective Multiplication Factors for 2D and 3D
VHTRs with Heterogeneous Fuel Compact
Geometry Control Rod Position MCNP5 20 pcm DeCART , ?? pcm DeCART , ?? pcm
Geometry Control Rod Position MCNP5 20 pcm 190 Group 47 Groups
2D ARO- Standard block 1.46245 187 573
2D ARI 1.09752 14 788
3D ARO- Standard block 1.46379 439
3D ARO 1.45791 123
All Rods In (ARI)
All Rods Out (ARO)
Operating Rods In (ORI)
38
39
2D Power Distributions
ORI
ARO
ARI
39
40
2D Block Power Comparison with MCNP5
ORI
ARO
ARI
40
41
3D Flux Distribution for All Rods Out (ARO) Case
7 eV
1 MeV
0.13 eV
1 eV
41
42
3D Flux Distribution for Operating Control Rods
In (ORI)
7 eV
1 MeV
0.13 eV
1 eV
42
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