openmc.deplete
– Depletion¶
Primary API¶
The two primary requirements to perform depletion with openmc.deplete
are:
 A transport operator
 A timeintegration scheme
The former is responsible for executing a transport code, like OpenMC,
and retaining important information required for depletion. The most common examples
are reaction rates and power normalization data. The latter is responsible for
projecting reaction rates and compositions forward in calendar time across
some step size \(\Delta t\), and obtaining new compositions given a power
or power density. The Operator
is provided to handle communicating with
OpenMC. Several classes are provided that implement different timeintegration
algorithms for depletion calculations, which are described in detail in Colin
Josey’s thesis, Development and analysis of high order neutron
transportdepletion coupling algorithms.
PredictorIntegrator 
Deplete using a firstorder predictor algorithm. 
CECMIntegrator 
Deplete using the CE/CM algorithm. 
CELIIntegrator 
Deplete using the CE/LI CFQ4 algorithm. 
CF4Integrator 
Deplete using the CF4 algorithm. 
EPCRK4Integrator 
Deplete using the EPCRK4 algorithm. 
LEQIIntegrator 
Deplete using the LE/QI CFQ4 algorithm. 
SICELIIntegrator 
Deplete using the SICE/LI CFQ4 algorithm. 
SILEQIIntegrator 
Deplete using the SILE/QI CFQ4 algorithm. 
Each of these classes expects a “transport operator” to be passed. An operator specific to OpenMC is available using the following class:
Operator 
OpenMC transport operator for depletion. 
The Operator
must also have some knowledge of how nuclides transmute
and decay. This is handled by the Chain
.
Minimal Example¶
A minimal example for performing depletion would be:
>>> import openmc
>>> import openmc.deplete
>>> geometry = openmc.Geometry.from_xml()
>>> settings = openmc.Settings.from_xml()
# Representation of a depletion chain
>>> chain_file = "chain_casl.xml"
>>> operator = openmc.deplete.Operator(
... geometry, settings, chain_file)
# Set up 5 time steps of one day each
>>> dt = [24 * 60 * 60] * 5
>>> power = 1e6 # constant power of 1 MW
# Deplete using midpoint predictorcorrector
>>> cecm = openmc.deplete.CECMIntegrator(
... operator, dt, power)
>>> cecm.integrate()
Internal Classes and Functions¶
When running in parallel using mpi4py, the MPI intercommunicator used can
be changed by modifying the following module variable. If it is not explicitly
modified, it defaults to mpi4py.MPI.COMM_WORLD
.

openmc.deplete.
comm
¶ MPI intercommunicator used to call OpenMC library
Type: mpi4py.MPI.Comm
During a depletion calculation, the depletion chain, reaction rates, and number densities are managed through a series of internal classes that are not normally visible to a user. However, should you find yourself wondering about these classes (e.g., if you want to know what decay modes or reactions are present in a depletion chain), they are documented here. The following classes store data for a depletion chain:
Chain 
Full representation of a depletion chain. 
DecayTuple 
Decay mode information 
Nuclide 
Decay modes, reactions, and fission yields for a single nuclide. 
ReactionTuple 
Transmutation reaction information 
FissionYieldDistribution 
Energydependent fission product yields for a single nuclide 
FissionYield 
Mapping for fission yields of a parent at a specific energy 
The following classes are used during a depletion simulation and store auxiliary data, such as number densities and reaction rates for each material.
AtomNumber 
Stores local material compositions (atoms of each nuclide). 
OperatorResult 
Result of applying transport operator 
ReactionRates 
Reaction rates resulting from a transport operator call 
Results 
Output of a depletion run 
ResultsList 
A list of openmc.deplete.Results objects 
The following class and functions are used to solve the depletion equations,
with cram.CRAM48()
being the default.
cram.IPFCramSolver 
CRAM depletion solver that uses incomplete partial factorization 
cram.CRAM16 
Solve depletion equations using IPF CRAM 
cram.CRAM48 
Solve depletion equations using IPF CRAM 
cram.deplete 
Deplete materials using given reaction rates for a specified time 
cram.timed_deplete 
Wrapper over deplete() that also returns process time 
The following classes are used to help the openmc.deplete.Operator
compute quantities like effective fission yields, reaction rates, and
total system energy.
helpers.AveragedFissionYieldHelper 
Class that computes fission yields based on average fission energy 
helpers.ChainFissionHelper 
Computes energy using fission Q values from depletion chain 
helpers.ConstantFissionYieldHelper 
Class that uses a single set of fission yields on each isotope 
helpers.DirectReactionRateHelper 
Class that generates tallies for onegroup rates 
helpers.EnergyScoreHelper 
Class responsible for obtaining system energy via a tally score 
helpers.FissionYieldCutoffHelper 
Helper that computes fission yields based on a cutoff energy 
Abstract Base Classes¶
A good starting point for extending capabilities in openmc.deplete
is
to examine the following abstract base classes. Custom classes can
inherit from abc.TransportOperator
to implement alternative
schemes for collecting reaction rates and other data from a transport code
prior to depleting materials
abc.TransportOperator 
Abstract class defining a transport operator 
The following classes are abstract classes used to pass information from
OpenMC simulations back on to the abc.TransportOperator
abc.EnergyHelper 
Abstract class for obtaining energy produced 
abc.FissionYieldHelper 
Abstract class for processing energy dependent fission yields 
abc.ReactionRateHelper 
Abstract class for generating reaction rates for operators 
abc.TalliedFissionYieldHelper 
Abstract class for computing fission yields with tallies 
Custom integrators or depletion solvers can be developed by subclassing from the following abstract base classes:
abc.Integrator 
Abstract class for solving the timeintegration for depletion 
abc.SIIntegrator 
Abstract class for the Stochastic Implicit Euler integrators 
abc.DepSystemSolver 
Abstract class for solving depletion equations 