Source code for idaes.core.base.reaction_base

#################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES).
#
# Copyright (c) 2018-2024 by the software owners: The Regents of the
# University of California, through Lawrence Berkeley National Laboratory,
# National Technology & Engineering Solutions of Sandia, LLC, Carnegie Mellon
# University, West Virginia University Research Corporation, et al.
# All rights reserved.  Please see the files COPYRIGHT.md and LICENSE.md
# for full copyright and license information.
#################################################################################
"""
This module contains classes for reaction blocks and reaction parameter blocks.
"""
# TODO: Missing docstrings
# pylint: disable=missing-function-docstring

# Import Pyomo libraries
from pyomo.common.config import ConfigBlock, ConfigValue, Bool
from pyomo.environ import Var, Constraint, Expression

# Import IDAES cores
from idaes.core.base.process_block import ProcessBlock
from idaes.core import ProcessBlockData, MaterialFlowBasis
from idaes.core.base import property_meta
from idaes.core.util.exceptions import (
    PropertyPackageError,
)
from idaes.core.util.config import (
    is_physical_parameter_block,
    is_reaction_parameter_block,
    is_state_block,
)
from idaes.core.util.misc import add_object_reference
from idaes.core.base.util import build_on_demand
from idaes.core.initialization import (
    BlockTriangularizationInitializer,
)

from idaes.core.util import scaling as iscale
import idaes.logger as idaeslog

_log = idaeslog.getLogger(__name__)

# Some more information about this module
__author__ = "Andrew Lee, John Eslick"

__all__ = [
    "ReactionBlock",  # pylint: disable=undefined-all-variable
    "ReactionParameterBlock",  # pylint: disable=undefined-all-variable
]


class _lock_attribute_creation_context(object):
    """Context manager to lock creation of new attributes on a state block"""

    def __init__(self, block):
        self.block = block

    def __enter__(self):
        self.block._lock_attribute_creation = True

    def __exit__(self, exc_type, exc_value, traceback):
        self.block._lock_attribute_creation = False


[docs] class ReactionParameterBlock(ProcessBlockData, property_meta.HasPropertyClassMetadata): """ This is the base class for reaction parameter blocks. These are blocks that contain a set of parameters associated with a specific reaction package, and are linked to by all instances of that reaction package. """ # Create Class ConfigBlock CONFIG = ProcessBlockData.CONFIG() CONFIG.declare( "property_package", ConfigValue( description="Reference to associated PropertyPackageParameter object", domain=is_physical_parameter_block, ), ) CONFIG.declare( "default_arguments", ConfigBlock( description="Default arguments to use with Property Package", implicit=True ), )
[docs] def build(self): """ General build method for ReactionParameterBlocks. Inheriting models should call super().build. Args: None Returns: None """ super(ReactionParameterBlock, self).build() if not hasattr(self, "_reaction_block_class"): self._reaction_block_class = None # TODO: Need way to tie reaction package to a specific property package self._validate_property_parameter_units() self._validate_property_parameter_properties()
@property def reaction_block_class(self): if self._reaction_block_class is not None: return self._reaction_block_class else: raise AttributeError( "{} has not assigned a ReactionBlock class to be associated " "with this reaction package. Please contact the developer of " "the reaction package.".format(self.name) )
[docs] def build_reaction_block(self, *args, **kwargs): """ Methods to construct a ReactionBlock associated with this ReactionParameterBlock. This will automatically set the parameters construction argument for the ReactionBlock. Returns: ReactionBlock """ default = kwargs.pop("default", {}) initialize = kwargs.pop("initialize", {}) if initialize == {}: default["parameters"] = self else: for i in initialize.keys(): initialize[i]["parameters"] = self return self.reaction_block_class( # pylint: disable=not-callable *args, **kwargs, **default, initialize=initialize )
def _validate_property_parameter_units(self): """ Checks that the property parameter block associated with the reaction block uses the same set of default units. """ r_units = self.get_metadata().default_units prop_units = self.config.property_package.get_metadata().default_units if not r_units.unitset_is_consistent(prop_units): raise PropertyPackageError( "{} the property package associated with this " "reaction package does not use the same set of " "units of measurement. Please choose a " "property package which uses the same units.".format(self.name) ) def _validate_property_parameter_properties(self): """ Checks that the property parameter block associated with the reaction block supports the necessary properties with correct units. """ unsupported = self.get_metadata().properties.check_required_properties( self.config.property_package.get_metadata().properties ) if len(unsupported) > 0: raise PropertyPackageError( f"{self.name} the property package associated with this " "reaction package does not support the following necessary " "properties, {unsupported}. Please choose a property package " "which supports all required properties." )
[docs] class ReactionBlockBase(ProcessBlock): """ This is the base class for reaction block objects. These are used when constructing the SimpleBlock or IndexedBlock which will contain the PropertyData objects, and contains methods that can be applied to multiple ReactionBlockData objects simultaneously. """ # Set default initializer default_initializer = BlockTriangularizationInitializer
[docs] def initialize(self, *args): """ This is a default initialization routine for ReactionBlocks to ensure that a routine is present. All ReactionBlockData classes should overload this method with one suited to the particular reaction package Args: None Returns: None """ raise NotImplementedError( "{} reaction package has not implemented the" " initialize method. Please contact " "the reaction package developer".format(self.name) )
def report(self, index=(0), true_state=False, dof=False, ostream=None, prefix=""): raise NotImplementedError( """The current Reaction Package has not implemented a report method. Please contact the package developer about this.""" )
[docs] class ReactionBlockDataBase(ProcessBlockData): """ This is the base class for reaction block data objects. These are blocks that contain the Pyomo components associated with calculating a set of reacion properties for a given material. """ # Create Class ConfigBlock CONFIG = ProcessBlockData.CONFIG() CONFIG.declare( "parameters", ConfigValue( domain=is_reaction_parameter_block, description="""A reference to an instance of the Reaction Parameter Block associated with this property package.""", ), ) CONFIG.declare( "state_block", ConfigValue( domain=is_state_block, description="""A reference to an instance of a StateBlock with which this reaction block should be associated.""", ), ) CONFIG.declare( "has_equilibrium", ConfigValue( default=True, domain=Bool, description="Equilibrium constraint flag", doc="""Flag indicating whether equilibrium constraints should be constructed in this reaction block, **default** - True. **Valid values:** { **True** - ReactionBlock should enforce equilibrium constraints, **False** - ReactionBlock should not enforce equilibrium constraints.}""", ), ) def __init__(self, *args, **kwargs): self._lock_attribute_creation = False super().__init__(*args, **kwargs) @property def component_list(self): return self.state_ref.component_list @property def phase_list(self): return self.state_ref.phase_list @property def phase_component_set(self): return self.state_ref.phase_component_set @property def default_initializer(self): return self.parent_component().default_initializer @property def default_scaler(self): return self.parent_component().default_scaler
[docs] def lock_attribute_creation_context(self): """Returns a context manager that does not allow attributes to be created while in the context and allows attributes to be created normally outside the context. """ return _lock_attribute_creation_context(self)
[docs] def is_property_constructed(self, attr): """Returns True if the attribute ``attr`` already exists, or false if it would be added in ``__getattr__``, or does not exist. Args: attr (str): Attribute name to check Return: True if the attribute is already constructed, False otherwise """ with self.lock_attribute_creation_context(): return hasattr(self, attr)
[docs] def build(self): """ General build method for PropertyBlockDatas. Inheriting models should call super().build. Args: None Returns: None """ super(ReactionBlockDataBase, self).build() add_object_reference(self, "_params", self.config.parameters) self._validate_state_block()
@property def params(self): return self._params def _validate_state_block(self): """ Method to validate that the associated state block matches with the PropertyParameterBlock associated with the ReactionParameterBlock. """ # Add a reference to the corresponding state block data for later use add_object_reference(self, "state_ref", self.config.state_block[self.index()]) # Validate that property package of state matches that of reaction pack if ( self.config.parameters.config.property_package != self.state_ref.config.parameters ): raise PropertyPackageError( "{} the StateBlock associated with this " "ReactionBlock does not match with the " "PropertyParameterBlock associated with the " "ReactionParameterBlock. The modelling framework " "does not support mixed associations of property " "and reaction packages.".format(self.name) )
[docs] def get_reaction_rate_basis(self): """ Method which returns an Enum indicating the basis of the reaction rate term. """ return MaterialFlowBasis.other
def __getattr__(self, attr): """ This method is used to avoid generating unnecessary property calculations in reaction blocks. __getattr__ is called whenever a property is called for, and if a property does not exist, it looks for a method to create the required property, and any associated components. Create a property calculation if needed. Return an attribute error if attr == 'domain' or starts with a _ . The error for _ prevents a recursion error if trying to get a function to create a property and that function doesn't exist. Pyomo also occasionally looks for things that start with _ and may not exist. Pyomo also looks for the domain attribute, and it may not exist. This works by creating a property calculation by calling the "_"+attr function. A list of __getattr__ calls is maintained in self.__getattrcalls to check for recursive loops which maybe useful for debugging. This list is cleared after __getattr__ completes successfully. Args: attr: an attribute to create and return. Should be a property component. """ try: # try the Pyomo Block's __getattr__ method first which will return # decorators for creating components on the block (e.g. Expression, # Constraint, ...). return super().__getattr__(attr) except AttributeError: return build_on_demand(self, attr) def calculate_scaling_factors(self): super().calculate_scaling_factors() # Get scaling factor defaults, if no scaling factor set for v in self.component_data_objects( (Constraint, Var, Expression), descend_into=False ): if iscale.get_scaling_factor(v) is None: # don't replace if set name = v.getname().split("[")[0] index = v.index() sf = self.config.parameters.get_default_scaling(name, index) if sf is not None: iscale.set_scaling_factor(v, sf)