fuel burnup calculations and uncertainties
TRANSCRIPT
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Fuel Burnup Calculations and Uncertainties
International Atomic Energy AgencyPage 2
Outline
� Review lattice physics methods
� Different approaches to burnup predictions
� Linkage to fuel safety criteria
� Sources of uncertainty
� Survey of available codes
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Reactor Physics Challenge
Go from here to � here without losing too much information
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Additional Complications
� Temperature (or doppler effects)
� Strong spatial discontinuities between materials• Water next to Zr and UO2
� Neutron scattering is non-linear in energy, angle and
space
� Time dependence• Neutron population
• Material properties and compositions
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Reactor Physics Computational Strategy
K. Smith, “Reactor Core Methods,” M&C 2003
Circa 1980
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Modern Approaches
K. Smith, “Reactor Core Methods,” M&C 2003
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Lattice to Whole Core Analyses
K. Smith, “Reactor Core Methods,” M&C 2003
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A Brute Force Approach … not possible
K. Smith, “Reactor Core Methods,” M&C 2003
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Different Approaches to Analyses
� Deterministic methods• Collision probabilities
• Discrete ordinate methods
• Method of characteristics
� Stochastic methods• Monte carlo
� The choice of method is dictated by computational
resources and desired accuracy• Note that this accuracy directly affects burnup calculations and error can
compound with time
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Collision Probabilities
� Integral method based on assumption that flux at a
point is dependent on the probability of a neutron
transiting a region in space
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Discrete Ordinates
� Refers to treatment of angular variable
� Spatial variable treatment varies• Finite difference type approach
• Characteristics based methods
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Methods of Characteristics
� Lagragian method that explicitly treats both spatial
and angular variables
� Scalar fluxes calculated by integrating along a series of
rays transiting through the problem domain
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The Burnup Problem
� Branching constants bi.j
are known
� Decay constants λj are
known
� Flux, φ, and cross
section, σ, derived from
lattice physics analyses
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Modeling Approaches
� Once again, choice
depends on desired
accuracy
� Modern approaches
predict burnup pin by
pin
� Historical approaches
perform calculations at
the lattice level
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Computational Strategy
� Historically core burnup
calculations have been
performed based on pre-
calculated cross section
libraries
• Account for all relevant
physics
� Fuel temperature
� Moderator conditions
� Exposure
� Xe/Sm
� Control rods
� etc.
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Lattice Physics Computational Flow
http://scale.ornl.gov/index.shtml
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Application to Reactor Problems
� Lattice physics
calculation applied to
fuel assembly
• Output reduced to library
� Whole core multi-group
diffusion simulation
accesses fuel specific
library
• This allows whole core
simulation to account for
changes in state variable
(Tf, Tm, Dm, etc.)
K. Smith, “Reactor Core Methods,” M&C 2003
International Atomic Energy AgencyPage 18
Latest Developments
� Main difference is that lattice physics is embedded
into core diffusion code• Eliminates intermediate library
• Better captures real physics
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Linkages to Safety Criteria
� Input to fuel mechanical code
� Predict reactivity coefficients
� Peaking factors
� Fuel burnup
� Reactor operations
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Input to Fuel Mechanical Code
� Most fuel performance processes dependent upon
power
� Typically, a limiting power profile is chosen
� Core physics calculations needed to ensure that reality
is within assumed values
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Reactivity Coefficients
� Needed to ensure compliance with safety standards
� Reactivity coefficients are burnup dependent
� Calculation needed to assure proper values
throughout the entire operating cycle
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Peaking Factors
� Directly linked to AOO, LOCA and RIA fuel safety
criteria
� LHGR derived from AOO analysis typically constrains
power operation
� Similarly, LOCA calculation assume peaking factors
that constrain power operations
� RIA simulation imposes radial peaking limits to
constrain rod worth
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Fuel burnup
� Limits derived from fuel mechanical simulation• Imposed by regulatory authority
� Simulation needed to demonstrate compliance• Measurements difficult and uncertain
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Reactor Operations
� Modern online monitoring systems are coupled to 3-D
core simulator• Use pre-calculated cross section libraries
• Use simplified nodalization schemes to allow for real time results
� Operator aid to assess plant performance• Not used to actuate safety functions
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Sources of Uncertainty
� Mechanical
� Data
� Calculational error
� Stochastic error
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Mechanical Uncertainties
� Manufacturing processes are all conducted with
design tolerances• Fuel pellet radius diameter
• Cladding diameters
• Spacer pitch
• Channel thickness
� Material properties are never exact• UO2 density
• Cladding material specification
• Soluble poison specification
� Operational impacts• CRUD
• Rod bow
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Uncertainty in Data
� Cross section measurements not exact• Early techniques fairly uncertain for some materials
• Some of these measurements still in ENDF database
� Fe neutron transmission
� Thermal expansion coefficients
� Branching constants
� Decay constants
� Neutron yields
� Half life
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Calculation Errors
� All deterministic methods employ some type of
discretization scheme• Finite differences
• Angular quadrature
• Energy partitioning (i.e. multi-group assumption)
� Convergence errors caused by ill formed solution• Nodalization too coarse
• Bad quadrature weights
� Inherent errors from numerical methods• Event well converged solutions are not perfect
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Stochastic Errors
� Generally refer to Monte Carlo methods
� Modern codes typically employ continuous energy
treatment• No multi-group errors
� Can exactly represent complex geometry• No finite difference errors
� Stochastic errors relate to under sampling• Not enough particle histories to have good statistics
• Problem domain not fully sampled
� Even for well sampled problems, uncertainty remains• Relates to the convolution of various probability distribution functions
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Treatment of Uncertainty
� Typically handled by sensitivity calculations
� Mechanical uncertainties addressed by biasing model
to extreme of tolerance
� Calculational uncertainties derived from assessment
and applied as a bias
� Stochastic uncertainty addressed by upper bound
95/95 limit
� All of these treatments manifest themselves as an
increase in margin between operating and safety
limits
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Typical Uncertainties
K. Smith, “Reactor Core Methods,” M&C 2003
International Atomic Energy AgencyPage 32
So what is a Regulator to do?
� Take time to understand the physics and
manufacturing processes
� Ask good questions
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Survey of the more Common Physics Codes
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WIMS
http://www.answerssoftwareservice.com/wims/
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CASMO
http://www.studsvik.com/Documents/Product-sheets/Updated%20product%20sheets%20SSP/C5_2013-01_USA_R1.pdf
International Atomic Energy AgencyPage 36
HELIOS
http://www.studsvik.com/Documents/Product-sheets/Updated%20product%20sheets%20SSP/helios.a4_el.pdf
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MCU
http://mcuproject.ru/eabout.html
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SCALE
http://scale.ornl.gov/index.shtml