API Reference - WTW

This section of the documentation provides a reference for the API of the nodes.wtw module.

Created on Mon Nov 15 14:20:36 2021.

@author: bdobson Converted to totals on 2022-05-03

FWTW

Bases: WTW

Source code in wsimod\nodes\wtw.py

class FWTW(WTW):
    """"""

    def __init__(
        self,
        service_reservoir_storage_capacity=10,
        service_reservoir_storage_area=1,
        service_reservoir_storage_elevation=10,
        service_reservoir_initial_storage=0,
        data_input_dict={},
        **kwargs,
    ):
        """A freshwater treatment works wrapper for WTW. Contains service reservoirs
        that treated water is released to and pulled from. Cannot allow deficit (thus
        any deficit is satisfied by water entering the model 'via other means'). Liquor
        and solids are sent to sewers.

        Args:
            service_reservoir_storage_capacity (float, optional): Capacity of service
                reservoirs. Defaults to 10.
            service_reservoir_storage_area (float, optional): Area of service
                reservoirs. Defaults to 1.
            service_reservoir_storage_elevation (float, optional): Datum of service
                reservoirs. Defaults to 10.
            service_reservoir_initial_storage (float or dict, optional): initial
                storage of service reservoirs (see nodes.py/Tank for details).
                Defaults to 0.
            data_input_dict (dict, optional): Dictionary of data inputs relevant for
                the node (though I don't think it is used). Defaults to {}.

        Functions intended to call in orchestration:
            treat_water

        Key assumptions:
            - See `wtw.py/WTW` for treatment.
            - Stores treated water in a service reservoir tank, with a single tank
                per `FWTW` node.
            - Aims to satisfy a throughput that would top up the service reservoirs
                until full.
            - Currently, will not allow a deficit, thus introducing water from
                'other measures' if pulls cannot fulfil demand. Behaviour under a
                deficit should be determined and validated before introducing.

        Input data and parameter requirements:
            - See `wtw.py/WTW` for treatment.
            - Service reservoir tank `capacity`, `area`, and `datum`.
                _Units_: cubic metres, squared metres, metres
        """
        # Default parameters
        self.service_reservoir_storage_capacity = service_reservoir_storage_capacity
        self.service_reservoir_storage_area = service_reservoir_storage_area
        self.service_reservoir_storage_elevation = service_reservoir_storage_elevation
        self.service_reservoir_initial_storage = service_reservoir_initial_storage
        # TODO don't think data_input_dict is used
        self.data_input_dict = data_input_dict

        # Update args
        super().__init__(**kwargs)
        self.end_timestep = self.end_timestep_

        # Update handlers
        self.pull_set_handler["default"] = self.pull_set_fwtw
        self.pull_check_handler["default"] = self.pull_check_fwtw

        self.push_set_handler["default"] = self.push_set_deny
        self.push_check_handler["default"] = self.push_check_deny

        # Initialise parameters
        self.total_deficit = self.empty_vqip()
        self.total_pulled = self.empty_vqip()
        self.previous_pulled = self.empty_vqip()
        self.unpushed_sludge = self.empty_vqip()

        # Create tanks
        self.service_reservoir_tank = Tank(
            capacity=self.service_reservoir_storage_capacity,
            area=self.service_reservoir_storage_area,
            datum=self.service_reservoir_storage_elevation,
            initial_storage=self.service_reservoir_initial_storage,
        )
        # self.service_reservoir_tank.storage['volume'] =
        # self.service_reservoir_inital_storage
        # self.service_reservoir_tank.storage_['volume'] =
        # self.service_reservoir_inital_storage

        # Mass balance
        self.mass_balance_in.append(lambda: self.total_deficit)
        self.mass_balance_ds.append(lambda: self.service_reservoir_tank.ds())
        self.mass_balance_out.append(lambda: self.unpushed_sludge)

    def apply_overrides(self, overrides=Dict[str, Any]):
        """Apply overrides to the service reservoir tank and FWTW.

        Enables a user to override any parameter of the service reservoir tank, and
        then calls any overrides in WTW.

        Args:
            overrides (Dict[str, Any]): Dict describing which parameters should
                be overridden (keys) and new values (values). Defaults to {}.
        """
        self.service_reservoir_storage_capacity = overrides.pop(
            "service_reservoir_storage_capacity",
            self.service_reservoir_storage_capacity,
        )
        self.service_reservoir_storage_area = overrides.pop(
            "service_reservoir_storage_area", self.service_reservoir_storage_area
        )
        self.service_reservoir_storage_elevation = overrides.pop(
            "service_reservoir_storage_elevation",
            self.service_reservoir_storage_elevation,
        )

        self.service_reservoir_tank.capacity = self.service_reservoir_storage_capacity
        self.service_reservoir_tank.area = self.service_reservoir_storage_area
        self.service_reservoir_tank.datum = self.service_reservoir_storage_elevation
        super().apply_overrides(overrides)

    def treat_water(self):
        """Pulls water, aiming to fill service reservoirs, calls WTW
        treat_current_input, avoids deficit, sends liquor and solids to sewers."""
        # Calculate how much water is needed
        target_throughput = self.service_reservoir_tank.get_excess()
        target_throughput = min(
            target_throughput["volume"], self.treatment_throughput_capacity
        )

        # Pull water
        throughput = self.pull_distributed({"volume": target_throughput})

        # Calculate deficit (assume is equal to difference between previous treated
        # throughput and current throughput)
        # TODO think about this a bit more
        deficit = max(target_throughput - throughput["volume"], 0)
        # deficit = max(self.previous_pulled['volume'] - throughput['volume'], 0)
        deficit = self.v_change_vqip(self.previous_pulled, deficit)

        # Introduce deficit
        self.current_input = self.sum_vqip(throughput, deficit)

        # Track deficit
        self.total_deficit = self.sum_vqip(self.total_deficit, deficit)

        if self.total_deficit["volume"] > constants.FLOAT_ACCURACY:
            print(
                "Service reservoirs not filled at {0} on {1}".format(self.name, self.t)
            )

        # Run treatment processes
        self.treat_current_input()

        # Discharge liquor and solids to sewers
        push_back = self.sum_vqip(self.liquor, self.solids)
        rejected = self.push_distributed(push_back, of_type="Sewer")
        self.unpushed_sludge = self.sum_vqip(self.unpushed_sludge, rejected)
        if rejected["volume"] > constants.FLOAT_ACCURACY:
            print("nowhere for sludge to go")

        # Send water to service reservoirs
        excess = self.service_reservoir_tank.push_storage(self.treated)
        _ = self.service_reservoir_tank.push_storage(excess, force=True)
        if excess["volume"] > 0:
            print("excess treated water")

    def pull_check_fwtw(self, vqip=None):
        """Pull checks query service reservoirs.

        Args:
            vqip (dict, optional): A VQIP that can be used to limit the volume in
                the return value (only volume key is used). Defaults to None.

        Returns:
            (dict): A VQIP of availability in service reservoirs
        """
        return self.service_reservoir_tank.get_avail(vqip)

    def pull_set_fwtw(self, vqip):
        """Pull treated water from service reservoirs.

        Args:
            vqip (dict): a VQIP amount to pull

        Returns:
            pulled (dict): A VQIP amount that was successfully pulled
        """
        # Pull
        pulled = self.service_reservoir_tank.pull_storage(vqip)
        # Update total_pulled this timestep
        self.total_pulled = self.sum_vqip(self.total_pulled, pulled)
        return pulled

    def end_timestep_(self):
        """Update state variables."""
        self.service_reservoir_tank.end_timestep()
        self.total_deficit = self.empty_vqip()
        self.previous_pulled = self.copy_vqip(self.total_pulled)
        self.total_pulled = self.empty_vqip()
        self.treated = self.empty_vqip()
        self.unpushed_sludge = self.empty_vqip()

    def reinit(self):
        """Call tank reinit."""
        self.service_reservoir_tank.reinit()

__init__(service_reservoir_storage_capacity=10, service_reservoir_storage_area=1, service_reservoir_storage_elevation=10, service_reservoir_initial_storage=0, data_input_dict={}, **kwargs)

A freshwater treatment works wrapper for WTW. Contains service reservoirs that treated water is released to and pulled from. Cannot allow deficit (thus any deficit is satisfied by water entering the model 'via other means'). Liquor and solids are sent to sewers.

Parameters:

Name	Type	Description	Default
service_reservoir_storage_capacity	float	Capacity of service reservoirs. Defaults to 10.	10
service_reservoir_storage_area	float	Area of service reservoirs. Defaults to 1.	1
service_reservoir_storage_elevation	float	Datum of service reservoirs. Defaults to 10.	10
service_reservoir_initial_storage	float or dict	initial storage of service reservoirs (see nodes.py/Tank for details). Defaults to 0.	0
data_input_dict	dict	Dictionary of data inputs relevant for the node (though I don't think it is used). Defaults to {}.	{}

Functions intended to call in orchestration

treat_water

Key assumptions

• See wtw.py/WTW for treatment.
• Stores treated water in a service reservoir tank, with a single tank per FWTW node.
• Aims to satisfy a throughput that would top up the service reservoirs until full.
• Currently, will not allow a deficit, thus introducing water from 'other measures' if pulls cannot fulfil demand. Behaviour under a deficit should be determined and validated before introducing.

Input data and parameter requirements

• See wtw.py/WTW for treatment.
• Service reservoir tank capacity, area, and datum. Units: cubic metres, squared metres, metres

Source code in wsimod\nodes\wtw.py

def __init__(
    self,
    service_reservoir_storage_capacity=10,
    service_reservoir_storage_area=1,
    service_reservoir_storage_elevation=10,
    service_reservoir_initial_storage=0,
    data_input_dict={},
    **kwargs,
):
    """A freshwater treatment works wrapper for WTW. Contains service reservoirs
    that treated water is released to and pulled from. Cannot allow deficit (thus
    any deficit is satisfied by water entering the model 'via other means'). Liquor
    and solids are sent to sewers.

    Args:
        service_reservoir_storage_capacity (float, optional): Capacity of service
            reservoirs. Defaults to 10.
        service_reservoir_storage_area (float, optional): Area of service
            reservoirs. Defaults to 1.
        service_reservoir_storage_elevation (float, optional): Datum of service
            reservoirs. Defaults to 10.
        service_reservoir_initial_storage (float or dict, optional): initial
            storage of service reservoirs (see nodes.py/Tank for details).
            Defaults to 0.
        data_input_dict (dict, optional): Dictionary of data inputs relevant for
            the node (though I don't think it is used). Defaults to {}.

    Functions intended to call in orchestration:
        treat_water

    Key assumptions:
        - See `wtw.py/WTW` for treatment.
        - Stores treated water in a service reservoir tank, with a single tank
            per `FWTW` node.
        - Aims to satisfy a throughput that would top up the service reservoirs
            until full.
        - Currently, will not allow a deficit, thus introducing water from
            'other measures' if pulls cannot fulfil demand. Behaviour under a
            deficit should be determined and validated before introducing.

    Input data and parameter requirements:
        - See `wtw.py/WTW` for treatment.
        - Service reservoir tank `capacity`, `area`, and `datum`.
            _Units_: cubic metres, squared metres, metres
    """
    # Default parameters
    self.service_reservoir_storage_capacity = service_reservoir_storage_capacity
    self.service_reservoir_storage_area = service_reservoir_storage_area
    self.service_reservoir_storage_elevation = service_reservoir_storage_elevation
    self.service_reservoir_initial_storage = service_reservoir_initial_storage
    # TODO don't think data_input_dict is used
    self.data_input_dict = data_input_dict

    # Update args
    super().__init__(**kwargs)
    self.end_timestep = self.end_timestep_

    # Update handlers
    self.pull_set_handler["default"] = self.pull_set_fwtw
    self.pull_check_handler["default"] = self.pull_check_fwtw

    self.push_set_handler["default"] = self.push_set_deny
    self.push_check_handler["default"] = self.push_check_deny

    # Initialise parameters
    self.total_deficit = self.empty_vqip()
    self.total_pulled = self.empty_vqip()
    self.previous_pulled = self.empty_vqip()
    self.unpushed_sludge = self.empty_vqip()

    # Create tanks
    self.service_reservoir_tank = Tank(
        capacity=self.service_reservoir_storage_capacity,
        area=self.service_reservoir_storage_area,
        datum=self.service_reservoir_storage_elevation,
        initial_storage=self.service_reservoir_initial_storage,
    )
    # self.service_reservoir_tank.storage['volume'] =
    # self.service_reservoir_inital_storage
    # self.service_reservoir_tank.storage_['volume'] =
    # self.service_reservoir_inital_storage

    # Mass balance
    self.mass_balance_in.append(lambda: self.total_deficit)
    self.mass_balance_ds.append(lambda: self.service_reservoir_tank.ds())
    self.mass_balance_out.append(lambda: self.unpushed_sludge)

apply_overrides(overrides=Dict[str, Any])

Apply overrides to the service reservoir tank and FWTW.

Enables a user to override any parameter of the service reservoir tank, and then calls any overrides in WTW.

Parameters:

Name	Type	Description	Default
overrides	Dict[str, Any]	Dict describing which parameters should be overridden (keys) and new values (values). Defaults to {}.	Dict[str, Any]

Source code in wsimod\nodes\wtw.py

def apply_overrides(self, overrides=Dict[str, Any]):
    """Apply overrides to the service reservoir tank and FWTW.

    Enables a user to override any parameter of the service reservoir tank, and
    then calls any overrides in WTW.

    Args:
        overrides (Dict[str, Any]): Dict describing which parameters should
            be overridden (keys) and new values (values). Defaults to {}.
    """
    self.service_reservoir_storage_capacity = overrides.pop(
        "service_reservoir_storage_capacity",
        self.service_reservoir_storage_capacity,
    )
    self.service_reservoir_storage_area = overrides.pop(
        "service_reservoir_storage_area", self.service_reservoir_storage_area
    )
    self.service_reservoir_storage_elevation = overrides.pop(
        "service_reservoir_storage_elevation",
        self.service_reservoir_storage_elevation,
    )

    self.service_reservoir_tank.capacity = self.service_reservoir_storage_capacity
    self.service_reservoir_tank.area = self.service_reservoir_storage_area
    self.service_reservoir_tank.datum = self.service_reservoir_storage_elevation
    super().apply_overrides(overrides)

end_timestep_()

Update state variables.

Source code in wsimod\nodes\wtw.py

def end_timestep_(self):
    """Update state variables."""
    self.service_reservoir_tank.end_timestep()
    self.total_deficit = self.empty_vqip()
    self.previous_pulled = self.copy_vqip(self.total_pulled)
    self.total_pulled = self.empty_vqip()
    self.treated = self.empty_vqip()
    self.unpushed_sludge = self.empty_vqip()

pull_check_fwtw(vqip=None)

Pull checks query service reservoirs.

Parameters:

Name	Type	Description	Default
vqip	dict	A VQIP that can be used to limit the volume in the return value (only volume key is used). Defaults to None.	None

Returns:

Type	Description
dict	A VQIP of availability in service reservoirs

Source code in wsimod\nodes\wtw.py

def pull_check_fwtw(self, vqip=None):
    """Pull checks query service reservoirs.

    Args:
        vqip (dict, optional): A VQIP that can be used to limit the volume in
            the return value (only volume key is used). Defaults to None.

    Returns:
        (dict): A VQIP of availability in service reservoirs
    """
    return self.service_reservoir_tank.get_avail(vqip)

pull_set_fwtw(vqip)

Pull treated water from service reservoirs.

Parameters:

Name	Type	Description	Default
vqip	dict	a VQIP amount to pull	required

Returns:

Name	Type	Description
pulled	dict	A VQIP amount that was successfully pulled

Source code in wsimod\nodes\wtw.py

def pull_set_fwtw(self, vqip):
    """Pull treated water from service reservoirs.

    Args:
        vqip (dict): a VQIP amount to pull

    Returns:
        pulled (dict): A VQIP amount that was successfully pulled
    """
    # Pull
    pulled = self.service_reservoir_tank.pull_storage(vqip)
    # Update total_pulled this timestep
    self.total_pulled = self.sum_vqip(self.total_pulled, pulled)
    return pulled

reinit()

Call tank reinit.

Source code in wsimod\nodes\wtw.py

def reinit(self):
    """Call tank reinit."""
    self.service_reservoir_tank.reinit()

treat_water()

Pulls water, aiming to fill service reservoirs, calls WTW treat_current_input, avoids deficit, sends liquor and solids to sewers.

Source code in wsimod\nodes\wtw.py

def treat_water(self):
    """Pulls water, aiming to fill service reservoirs, calls WTW
    treat_current_input, avoids deficit, sends liquor and solids to sewers."""
    # Calculate how much water is needed
    target_throughput = self.service_reservoir_tank.get_excess()
    target_throughput = min(
        target_throughput["volume"], self.treatment_throughput_capacity
    )

    # Pull water
    throughput = self.pull_distributed({"volume": target_throughput})

    # Calculate deficit (assume is equal to difference between previous treated
    # throughput and current throughput)
    # TODO think about this a bit more
    deficit = max(target_throughput - throughput["volume"], 0)
    # deficit = max(self.previous_pulled['volume'] - throughput['volume'], 0)
    deficit = self.v_change_vqip(self.previous_pulled, deficit)

    # Introduce deficit
    self.current_input = self.sum_vqip(throughput, deficit)

    # Track deficit
    self.total_deficit = self.sum_vqip(self.total_deficit, deficit)

    if self.total_deficit["volume"] > constants.FLOAT_ACCURACY:
        print(
            "Service reservoirs not filled at {0} on {1}".format(self.name, self.t)
        )

    # Run treatment processes
    self.treat_current_input()

    # Discharge liquor and solids to sewers
    push_back = self.sum_vqip(self.liquor, self.solids)
    rejected = self.push_distributed(push_back, of_type="Sewer")
    self.unpushed_sludge = self.sum_vqip(self.unpushed_sludge, rejected)
    if rejected["volume"] > constants.FLOAT_ACCURACY:
        print("nowhere for sludge to go")

    # Send water to service reservoirs
    excess = self.service_reservoir_tank.push_storage(self.treated)
    _ = self.service_reservoir_tank.push_storage(excess, force=True)
    if excess["volume"] > 0:
        print("excess treated water")

WTW

Bases: Node

A generic Water Treatment Works (WTW) node.

This class is a generic water treatment works node. It is intended to be subclassed into freshwater and wastewater treatment works (FWTW and WWTW respectively).

Source code in wsimod\nodes\wtw.py

class WTW(Node):
    """A generic Water Treatment Works (WTW) node.

    This class is a generic water treatment works node. It is intended to be
    subclassed into freshwater and wastewater treatment works (FWTW and WWTW
    respectively).
    """

    def __init__(
        self,
        name,
        treatment_throughput_capacity=10,
        process_parameters={},
        liquor_multiplier={},
        percent_solids=0.0002,
    ):
        """Generic treatment processes that apply temperature a sensitive transform of
        pollutants into liquor and solids (behaviour depends on subclass). Push requests
        are stored in the current_input state variable, but treatment must be triggered
        with treat_current_input. This treated water is stored in the discharge_holder
        state variable, which will be sent different depending on FWTW/WWTW.

        Args:
            name (str): Node name
            treatment_throughput_capacity (float, optional): Amount of volume per
                timestep of water that can be treated. Defaults to 10.
            process_parameters (dict, optional): Dict of dicts for each pollutant.
                Top level key describes pollutant. Next level key describes the
                constant portion of the transform and the temperature sensitive
                exponent portion (see core.py/DecayObj for more detailed
                explanation). Defaults to {}.
            liquor_multiplier (dict, optional): Keys for each pollutant that
                describes how much influent becomes liquor. Defaults to {}.
            percent_solids (float, optional): Proportion of volume that becomes solids.
                All pollutants that do not become effluent or liquor become solids.
                Defaults to 0.0002.

        Functions intended to call in orchestration:
            None (use FWTW or WWTW subclass)

        Key assumptions:
            - Throughput can be modelled entirely with a set capacity.
            - Pollutant reduction for the entire treatment process can be modelled
                primarily with a single (temperature sensitive) transformation for
                each pollutant.
            - Liquor and solids are tracked and calculated with proportional
                multiplier parameters.

        Input data and parameter requirements:
            - `treatment_throughput_capacity`
                _Units_: cubic metres/timestep
            - `process_parameters` contains the constant (non temperature
                sensitive) and exponent (temperature sensitive) transformations
                applied to treated water for each pollutant.
                _Units_: -
            - `liquor_multiplier` and `percent_solids` describe the proportion of
                throughput that goes to liquor/solids.
        """
        # Set/Default parameters
        self.treatment_throughput_capacity = treatment_throughput_capacity
        if len(process_parameters) > 0:
            self.process_parameters = process_parameters
        else:
            self.process_parameters = {
                x: {"constant": 0.01, "exponent": 1.001}
                for x in constants.ADDITIVE_POLLUTANTS
            }
        if len(liquor_multiplier) > 0:
            self._liquor_multiplier = liquor_multiplier
        else:
            self._liquor_multiplier = {x: 0.7 for x in constants.ADDITIVE_POLLUTANTS}
            self._liquor_multiplier["volume"] = 0.03

        self._percent_solids = percent_solids

        # Update args
        super().__init__(name)

        self.process_parameters["volume"] = {"constant": self.calculate_volume()}

        # Update handlers
        self.push_set_handler["default"] = self.push_set_deny
        self.push_check_handler["default"] = self.push_check_deny

        # Initialise parameters
        self.current_input = self.empty_vqip()
        self.treated = self.empty_vqip()
        self.liquor = self.empty_vqip()
        self.solids = self.empty_vqip()

    def calculate_volume(self):
        """Calculate the volume proportion of treated water.

        Returns:
            (float): Volume of treated water
        """
        return 1 - self._percent_solids - self._liquor_multiplier["volume"]

    @property
    def percent_solids(self):
        return self._percent_solids

    @percent_solids.setter
    def percent_solids(self, value):
        self._percent_solids = value
        self.process_parameters["volume"]["constant"] = self.calculate_volume()

    @property
    def liquor_multiplier(self):
        return self._liquor_multiplier

    @liquor_multiplier.setter
    def liquor_multiplier(self, value):
        self._liquor_multiplier.update(value)
        self.process_parameters["volume"]["constant"] = self.calculate_volume()

    def apply_overrides(self, overrides=Dict[str, Any]):
        """Override parameters.

        Enables a user to override any of the following parameters:
        percent_solids, treatment_throughput_capacity, process_parameters (the
        entire dict does not need to be redefined, only changed values need to
        be included), liquor_multiplier (as with process_parameters).

        Args:
            overrides (Dict[str, Any]): Dict describing which parameters should
                be overridden (keys) and new values (values). Defaults to {}.
        """
        self.percent_solids = overrides.pop("percent_solids", self._percent_solids)
        self.liquor_multiplier = overrides.pop(
            "liquor_multiplier", self._liquor_multiplier
        )
        process_parameters = overrides.pop("process_parameters", {})
        for key, value in process_parameters.items():
            self.process_parameters[key].update(value)

        self.treatment_throughput_capacity = overrides.pop(
            "treatment_throughput_capacity", self.treatment_throughput_capacity
        )
        super().apply_overrides(overrides)

    def get_excess_throughput(self):
        """How much excess treatment capacity is there.

        Returns:
            (float): Amount of volume that can still be treated this timestep
        """
        return max(self.treatment_throughput_capacity - self.current_input["volume"], 0)

    def treat_current_input(self):
        """Run treatment processes this timestep, including temperature sensitive
        transforms, liquoring, solids."""
        # Treat current input
        influent = self.copy_vqip(self.current_input)

        # Calculate effluent, liquor and solids
        discharge_holder = self.empty_vqip()

        # Assume non-additive pollutants are unchanged in discharge and are
        # proportionately mixed in liquor
        for key in constants.NON_ADDITIVE_POLLUTANTS:
            discharge_holder[key] = influent[key]
            self.liquor[key] = (
                self.liquor[key] * self.liquor["volume"]
                + influent[key] * influent["volume"] * self.liquor_multiplier["volume"]
            ) / (
                self.liquor["volume"]
                + influent["volume"] * self.liquor_multiplier["volume"]
            )

        # TODO this should probably just be for process_parameters.keys() to avoid
        # having to declare non changing parameters
        # TODO should the liquoring be temperature sensitive too? As it is the solids
        # will take the brunt of the temperature variability which maybe isn't sensible
        for key in constants.ADDITIVE_POLLUTANTS + ["volume"]:
            if key != "volume":
                # Temperature sensitive transform
                temp_factor = self.process_parameters[key]["exponent"] ** (
                    constants.DECAY_REFERENCE_TEMPERATURE - influent["temperature"]
                )
            else:
                temp_factor = 1
            # Calculate discharge
            discharge_holder[key] = (
                influent[key] * self.process_parameters[key]["constant"] * temp_factor
            )
            # Calculate liquor
            self.liquor[key] = influent[key] * self.liquor_multiplier[key]

        # Calculate solids volume
        self.solids["volume"] = influent["volume"] * self.percent_solids

        # All remaining pollutants go to solids
        for key in constants.ADDITIVE_POLLUTANTS:
            self.solids[key] = influent[key] - discharge_holder[key] - self.liquor[key]

        # Blend with any existing discharge
        self.treated = self.sum_vqip(self.treated, discharge_holder)

        if self.treated["volume"] > self.current_input["volume"]:
            print("more treated than input")

    def end_timestep(self):
        """"""
        # Reset state variables
        self.current_input = self.empty_vqip()
        self.treated = self.empty_vqip()

__init__(name, treatment_throughput_capacity=10, process_parameters={}, liquor_multiplier={}, percent_solids=0.0002)

Generic treatment processes that apply temperature a sensitive transform of pollutants into liquor and solids (behaviour depends on subclass). Push requests are stored in the current_input state variable, but treatment must be triggered with treat_current_input. This treated water is stored in the discharge_holder state variable, which will be sent different depending on FWTW/WWTW.

Parameters:

Name	Type	Description	Default
name	str	Node name	required
treatment_throughput_capacity	float	Amount of volume per timestep of water that can be treated. Defaults to 10.	10
process_parameters	dict	Dict of dicts for each pollutant. Top level key describes pollutant. Next level key describes the constant portion of the transform and the temperature sensitive exponent portion (see core.py/DecayObj for more detailed explanation). Defaults to {}.	{}
liquor_multiplier	dict	Keys for each pollutant that describes how much influent becomes liquor. Defaults to {}.	{}
percent_solids	float	Proportion of volume that becomes solids. All pollutants that do not become effluent or liquor become solids. Defaults to 0.0002.	0.0002

Functions intended to call in orchestration

None (use FWTW or WWTW subclass)

Key assumptions

• Throughput can be modelled entirely with a set capacity.
• Pollutant reduction for the entire treatment process can be modelled primarily with a single (temperature sensitive) transformation for each pollutant.
• Liquor and solids are tracked and calculated with proportional multiplier parameters.

Input data and parameter requirements

• treatment_throughput_capacity Units: cubic metres/timestep
• process_parameters contains the constant (non temperature sensitive) and exponent (temperature sensitive) transformations applied to treated water for each pollutant. Units: -
• liquor_multiplier and percent_solids describe the proportion of throughput that goes to liquor/solids.

Source code in wsimod\nodes\wtw.py

def __init__(
    self,
    name,
    treatment_throughput_capacity=10,
    process_parameters={},
    liquor_multiplier={},
    percent_solids=0.0002,
):
    """Generic treatment processes that apply temperature a sensitive transform of
    pollutants into liquor and solids (behaviour depends on subclass). Push requests
    are stored in the current_input state variable, but treatment must be triggered
    with treat_current_input. This treated water is stored in the discharge_holder
    state variable, which will be sent different depending on FWTW/WWTW.

    Args:
        name (str): Node name
        treatment_throughput_capacity (float, optional): Amount of volume per
            timestep of water that can be treated. Defaults to 10.
        process_parameters (dict, optional): Dict of dicts for each pollutant.
            Top level key describes pollutant. Next level key describes the
            constant portion of the transform and the temperature sensitive
            exponent portion (see core.py/DecayObj for more detailed
            explanation). Defaults to {}.
        liquor_multiplier (dict, optional): Keys for each pollutant that
            describes how much influent becomes liquor. Defaults to {}.
        percent_solids (float, optional): Proportion of volume that becomes solids.
            All pollutants that do not become effluent or liquor become solids.
            Defaults to 0.0002.

    Functions intended to call in orchestration:
        None (use FWTW or WWTW subclass)

    Key assumptions:
        - Throughput can be modelled entirely with a set capacity.
        - Pollutant reduction for the entire treatment process can be modelled
            primarily with a single (temperature sensitive) transformation for
            each pollutant.
        - Liquor and solids are tracked and calculated with proportional
            multiplier parameters.

    Input data and parameter requirements:
        - `treatment_throughput_capacity`
            _Units_: cubic metres/timestep
        - `process_parameters` contains the constant (non temperature
            sensitive) and exponent (temperature sensitive) transformations
            applied to treated water for each pollutant.
            _Units_: -
        - `liquor_multiplier` and `percent_solids` describe the proportion of
            throughput that goes to liquor/solids.
    """
    # Set/Default parameters
    self.treatment_throughput_capacity = treatment_throughput_capacity
    if len(process_parameters) > 0:
        self.process_parameters = process_parameters
    else:
        self.process_parameters = {
            x: {"constant": 0.01, "exponent": 1.001}
            for x in constants.ADDITIVE_POLLUTANTS
        }
    if len(liquor_multiplier) > 0:
        self._liquor_multiplier = liquor_multiplier
    else:
        self._liquor_multiplier = {x: 0.7 for x in constants.ADDITIVE_POLLUTANTS}
        self._liquor_multiplier["volume"] = 0.03

    self._percent_solids = percent_solids

    # Update args
    super().__init__(name)

    self.process_parameters["volume"] = {"constant": self.calculate_volume()}

    # Update handlers
    self.push_set_handler["default"] = self.push_set_deny
    self.push_check_handler["default"] = self.push_check_deny

    # Initialise parameters
    self.current_input = self.empty_vqip()
    self.treated = self.empty_vqip()
    self.liquor = self.empty_vqip()
    self.solids = self.empty_vqip()

apply_overrides(overrides=Dict[str, Any])

Override parameters.

Enables a user to override any of the following parameters: percent_solids, treatment_throughput_capacity, process_parameters (the entire dict does not need to be redefined, only changed values need to be included), liquor_multiplier (as with process_parameters).

Parameters:

Name	Type	Description	Default
overrides	Dict[str, Any]	Dict describing which parameters should be overridden (keys) and new values (values). Defaults to {}.	Dict[str, Any]

Source code in wsimod\nodes\wtw.py

def apply_overrides(self, overrides=Dict[str, Any]):
    """Override parameters.

    Enables a user to override any of the following parameters:
    percent_solids, treatment_throughput_capacity, process_parameters (the
    entire dict does not need to be redefined, only changed values need to
    be included), liquor_multiplier (as with process_parameters).

    Args:
        overrides (Dict[str, Any]): Dict describing which parameters should
            be overridden (keys) and new values (values). Defaults to {}.
    """
    self.percent_solids = overrides.pop("percent_solids", self._percent_solids)
    self.liquor_multiplier = overrides.pop(
        "liquor_multiplier", self._liquor_multiplier
    )
    process_parameters = overrides.pop("process_parameters", {})
    for key, value in process_parameters.items():
        self.process_parameters[key].update(value)

    self.treatment_throughput_capacity = overrides.pop(
        "treatment_throughput_capacity", self.treatment_throughput_capacity
    )
    super().apply_overrides(overrides)

calculate_volume()

Calculate the volume proportion of treated water.

Returns:

Type	Description
float	Volume of treated water

Source code in wsimod\nodes\wtw.py

def calculate_volume(self):
    """Calculate the volume proportion of treated water.

    Returns:
        (float): Volume of treated water
    """
    return 1 - self._percent_solids - self._liquor_multiplier["volume"]

end_timestep()

Source code in wsimod\nodes\wtw.py

def end_timestep(self):
    """"""
    # Reset state variables
    self.current_input = self.empty_vqip()
    self.treated = self.empty_vqip()

get_excess_throughput()

How much excess treatment capacity is there.

Returns:

Type	Description
float	Amount of volume that can still be treated this timestep

Source code in wsimod\nodes\wtw.py

def get_excess_throughput(self):
    """How much excess treatment capacity is there.

    Returns:
        (float): Amount of volume that can still be treated this timestep
    """
    return max(self.treatment_throughput_capacity - self.current_input["volume"], 0)

treat_current_input()

Run treatment processes this timestep, including temperature sensitive transforms, liquoring, solids.

Source code in wsimod\nodes\wtw.py

def treat_current_input(self):
    """Run treatment processes this timestep, including temperature sensitive
    transforms, liquoring, solids."""
    # Treat current input
    influent = self.copy_vqip(self.current_input)

    # Calculate effluent, liquor and solids
    discharge_holder = self.empty_vqip()

    # Assume non-additive pollutants are unchanged in discharge and are
    # proportionately mixed in liquor
    for key in constants.NON_ADDITIVE_POLLUTANTS:
        discharge_holder[key] = influent[key]
        self.liquor[key] = (
            self.liquor[key] * self.liquor["volume"]
            + influent[key] * influent["volume"] * self.liquor_multiplier["volume"]
        ) / (
            self.liquor["volume"]
            + influent["volume"] * self.liquor_multiplier["volume"]
        )

    # TODO this should probably just be for process_parameters.keys() to avoid
    # having to declare non changing parameters
    # TODO should the liquoring be temperature sensitive too? As it is the solids
    # will take the brunt of the temperature variability which maybe isn't sensible
    for key in constants.ADDITIVE_POLLUTANTS + ["volume"]:
        if key != "volume":
            # Temperature sensitive transform
            temp_factor = self.process_parameters[key]["exponent"] ** (
                constants.DECAY_REFERENCE_TEMPERATURE - influent["temperature"]
            )
        else:
            temp_factor = 1
        # Calculate discharge
        discharge_holder[key] = (
            influent[key] * self.process_parameters[key]["constant"] * temp_factor
        )
        # Calculate liquor
        self.liquor[key] = influent[key] * self.liquor_multiplier[key]

    # Calculate solids volume
    self.solids["volume"] = influent["volume"] * self.percent_solids

    # All remaining pollutants go to solids
    for key in constants.ADDITIVE_POLLUTANTS:
        self.solids[key] = influent[key] - discharge_holder[key] - self.liquor[key]

    # Blend with any existing discharge
    self.treated = self.sum_vqip(self.treated, discharge_holder)

    if self.treated["volume"] > self.current_input["volume"]:
        print("more treated than input")

WWTW

Bases: WTW

Wastewater Treatment Works (WWTW) node.

Source code in wsimod\nodes\wtw.py

class WWTW(WTW):
    """Wastewater Treatment Works (WWTW) node."""

    def __init__(
        self,
        stormwater_storage_capacity=10,
        stormwater_storage_area=1,
        stormwater_storage_elevation=10,
        **kwargs,
    ):
        """A wastewater treatment works wrapper for WTW. Contains a temporary stormwater
        storage tank. Liquor is combined with current_effluent and re- treated while
        solids leave the model.

        Args:
            stormwater_storage_capacity (float, optional): Capacity of stormwater tank.
                Defaults to 10.
            stormwater_storage_area (float, optional): Area of stormwater tank.
                Defaults to 1.
            stormwater_storage_elevation (float, optional): Datum of stormwater tank.
                Defaults to 10.

        Functions intended to call in orchestration:
            calculate_discharge

            make_discharge

        Key assumptions:
            - See `wtw.py/WTW` for treatment.
            - When `treatment_throughput_capacity` is exceeded, water is first sent
                to a stormwater storage tank before denying pushes. Leftover water
                in this tank aims to be treated in subsequent timesteps.
            - Can be pulled from to simulate active wastewater effluent use.

        Input data and parameter requirements:
            - See `wtw.py/WTW` for treatment.
            - Stormwater tank `capacity`, `area`, and `datum`.
                _Units_: cubic metres, squared metres, metres
        """
        # Set parameters
        self.stormwater_storage_capacity = stormwater_storage_capacity
        self.stormwater_storage_area = stormwater_storage_area
        self.stormwater_storage_elevation = stormwater_storage_elevation

        # Update args
        super().__init__(**kwargs)

        self.end_timestep = self.end_timestep_

        # Update handlers
        self.pull_set_handler["default"] = self.pull_set_reuse
        self.pull_check_handler["default"] = self.pull_check_reuse
        self.push_set_handler["Sewer"] = self.push_set_sewer
        self.push_check_handler["Sewer"] = self.push_check_sewer
        self.push_check_handler["default"] = self.push_check_sewer
        self.push_set_handler["default"] = self.push_set_sewer

        # Create tank
        self.stormwater_tank = Tank(
            capacity=self.stormwater_storage_capacity,
            area=self.stormwater_storage_area,
            datum=self.stormwater_storage_elevation,
        )

        # Initialise states
        self.liquor_ = self.empty_vqip()
        self.previous_input = self.empty_vqip()
        self.current_input = self.empty_vqip()  # TODO is this not done in WTW?

        # Mass balance
        self.mass_balance_out.append(lambda: self.solids)  # Assume these go to landfill
        self.mass_balance_ds.append(lambda: self.stormwater_tank.ds())
        self.mass_balance_ds.append(
            lambda: self.ds_vqip(self.liquor, self.liquor_)
        )  # Change in liquor

    def apply_overrides(self, overrides=Dict[str, Any]):
        """Apply overrides to the stormwater tank and WWTW.

        Enables a user to override any parameter of the stormwater tank, and
        then calls any overrides in WTW.

        Args:
            overrides (Dict[str, Any]): Dict describing which parameters should
                be overridden (keys) and new values (values). Defaults to {}.
        """
        self.stormwater_storage_capacity = overrides.pop(
            "stormwater_storage_capacity", self.stormwater_storage_capacity
        )
        self.stormwater_storage_area = overrides.pop(
            "stormwater_storage_area", self.stormwater_storage_area
        )
        self.stormwater_storage_elevation = overrides.pop(
            "stormwater_storage_elevation", self.stormwater_storage_elevation
        )
        self.stormwater_tank.area = self.stormwater_storage_area
        self.stormwater_tank.capacity = self.stormwater_storage_capacity
        self.stormwater_tank.datum = self.stormwater_storage_elevation
        super().apply_overrides(overrides)

    def calculate_discharge(self):
        """Clear stormwater tank if possible, and call treat_current_input."""
        # Run WWTW model

        # Try to clear stormwater
        # TODO (probably more tidy to use push_set_sewer? though maybe less
        # computationally efficient)
        excess = self.get_excess_throughput()
        if (self.stormwater_tank.get_avail()["volume"] > constants.FLOAT_ACCURACY) & (
            excess > constants.FLOAT_ACCURACY
        ):
            to_pull = min(excess, self.stormwater_tank.get_avail()["volume"])
            to_pull = self.v_change_vqip(self.stormwater_tank.storage, to_pull)
            cleared_stormwater = self.stormwater_tank.pull_storage(to_pull)
            self.current_input = self.sum_vqip(self.current_input, cleared_stormwater)

        # Run processes
        self.current_input = self.sum_vqip(self.current_input, self.liquor)
        self.treat_current_input()

    def make_discharge(self):
        """Discharge treated effluent."""
        reply = self.push_distributed(self.treated)
        self.treated = self.empty_vqip()
        if reply["volume"] > constants.FLOAT_ACCURACY:
            _ = self.stormwater_tank.push_storage(reply, force=True)
            print("WWTW couldnt push")

    def push_check_sewer(self, vqip=None):
        """Check throughput and stormwater tank capacity.

        Args:
            vqip (dict, optional): A VQIP that can be used to limit the volume in
                the return value (only volume key is used). Defaults to None.

        Returns:
            (dict): excess
        """
        # Get excess
        excess_throughput = self.get_excess_throughput()
        excess_tank = self.stormwater_tank.get_excess()
        # Combine tank and throughput
        vol = excess_tank["volume"] + excess_throughput
        # Update volume
        if vqip is None:
            vqip = self.empty_vqip()
        else:
            vol = min(vol, vqip["volume"])

        return self.v_change_vqip(vqip, vol)

    def push_set_sewer(self, vqip):
        """Receive water, first try to update current_input, and then stormwater tank.

        Args:
            vqip (dict): A VQIP amount to be treated and then stored

        Returns:
            (dict): A VQIP amount of water that was not treated
        """
        # Receive water from sewers
        vqip = self.copy_vqip(vqip)
        # Check if can directly be treated
        sent_direct = self.get_excess_throughput()

        sent_direct = min(sent_direct, vqip["volume"])

        sent_direct = self.v_change_vqip(vqip, sent_direct)

        self.current_input = self.sum_vqip(self.current_input, sent_direct)

        if sent_direct["volume"] == vqip["volume"]:
            # If all added to input, no problem
            return self.empty_vqip()

        # Next try temporary storage
        vqip = self.v_change_vqip(vqip, vqip["volume"] - sent_direct["volume"])

        vqip = self.stormwater_tank.push_storage(vqip)

        if vqip["volume"] < constants.FLOAT_ACCURACY:
            return self.empty_vqip()
        else:
            # TODO what to do here ???
            return vqip

    def pull_set_reuse(self, vqip):
        """Enables WWTW to receive pulls of the treated water (i.e., for wastewater
        reuse or satisfaction of environmental flows). Intended to be called in between
        calculate_discharge and make_discharge.

        Args:
            vqip (dict): A VQIP amount to be pulled (only 'volume' key is used)

        Returns:
            reply (dict): Amount of water that has been pulled
        """
        # Satisfy request with treated (volume)
        reply_vol = min(vqip["volume"], self.treated["volume"])
        # Update pollutants
        reply = self.v_change_vqip(self.treated, reply_vol)
        # Update treated
        self.treated = self.v_change_vqip(
            self.treated, self.treated["volume"] - reply_vol
        )
        return reply

    def pull_check_reuse(self, vqip=None):
        """Pull check available water. Simply returns the previous timestep's treated
        throughput. This is of course inaccurate (which may lead to slightly longer
        calulcations), but it is much more flexible. This hasn't been recently tested so
        it might be that returning treated would be fine (and more accurate!).

        Args:
            vqip (dict, optional): A VQIP that can be used to limit the volume in
                the return value (only volume key is used). Defaults to None.

        Returns:
            (dict): A VQIP amount of water available. Currently just the previous
                timestep's treated throughput
        """
        # Respond to request of water for reuse/MRF
        return self.copy_vqip(self.treated)

    def end_timestep_(self):
        """End timestep function to update state variables."""
        self.liquor_ = self.copy_vqip(self.liquor)
        self.previous_input = self.copy_vqip(self.current_input)
        self.current_input = self.empty_vqip()
        self.solids = self.empty_vqip()
        self.stormwater_tank.end_timestep()

__init__(stormwater_storage_capacity=10, stormwater_storage_area=1, stormwater_storage_elevation=10, **kwargs)

A wastewater treatment works wrapper for WTW. Contains a temporary stormwater storage tank. Liquor is combined with current_effluent and re- treated while solids leave the model.

Parameters:

Name	Type	Description	Default
stormwater_storage_capacity	float	Capacity of stormwater tank. Defaults to 10.	10
stormwater_storage_area	float	Area of stormwater tank. Defaults to 1.	1
stormwater_storage_elevation	float	Datum of stormwater tank. Defaults to 10.	10

Functions intended to call in orchestration

calculate_discharge

make_discharge

Key assumptions

• See wtw.py/WTW for treatment.
• When treatment_throughput_capacity is exceeded, water is first sent to a stormwater storage tank before denying pushes. Leftover water in this tank aims to be treated in subsequent timesteps.
• Can be pulled from to simulate active wastewater effluent use.

Input data and parameter requirements

• See wtw.py/WTW for treatment.
• Stormwater tank capacity, area, and datum. Units: cubic metres, squared metres, metres

Source code in wsimod\nodes\wtw.py

def __init__(
    self,
    stormwater_storage_capacity=10,
    stormwater_storage_area=1,
    stormwater_storage_elevation=10,
    **kwargs,
):
    """A wastewater treatment works wrapper for WTW. Contains a temporary stormwater
    storage tank. Liquor is combined with current_effluent and re- treated while
    solids leave the model.

    Args:
        stormwater_storage_capacity (float, optional): Capacity of stormwater tank.
            Defaults to 10.
        stormwater_storage_area (float, optional): Area of stormwater tank.
            Defaults to 1.
        stormwater_storage_elevation (float, optional): Datum of stormwater tank.
            Defaults to 10.

    Functions intended to call in orchestration:
        calculate_discharge

        make_discharge

    Key assumptions:
        - See `wtw.py/WTW` for treatment.
        - When `treatment_throughput_capacity` is exceeded, water is first sent
            to a stormwater storage tank before denying pushes. Leftover water
            in this tank aims to be treated in subsequent timesteps.
        - Can be pulled from to simulate active wastewater effluent use.

    Input data and parameter requirements:
        - See `wtw.py/WTW` for treatment.
        - Stormwater tank `capacity`, `area`, and `datum`.
            _Units_: cubic metres, squared metres, metres
    """
    # Set parameters
    self.stormwater_storage_capacity = stormwater_storage_capacity
    self.stormwater_storage_area = stormwater_storage_area
    self.stormwater_storage_elevation = stormwater_storage_elevation

    # Update args
    super().__init__(**kwargs)

    self.end_timestep = self.end_timestep_

    # Update handlers
    self.pull_set_handler["default"] = self.pull_set_reuse
    self.pull_check_handler["default"] = self.pull_check_reuse
    self.push_set_handler["Sewer"] = self.push_set_sewer
    self.push_check_handler["Sewer"] = self.push_check_sewer
    self.push_check_handler["default"] = self.push_check_sewer
    self.push_set_handler["default"] = self.push_set_sewer

    # Create tank
    self.stormwater_tank = Tank(
        capacity=self.stormwater_storage_capacity,
        area=self.stormwater_storage_area,
        datum=self.stormwater_storage_elevation,
    )

    # Initialise states
    self.liquor_ = self.empty_vqip()
    self.previous_input = self.empty_vqip()
    self.current_input = self.empty_vqip()  # TODO is this not done in WTW?

    # Mass balance
    self.mass_balance_out.append(lambda: self.solids)  # Assume these go to landfill
    self.mass_balance_ds.append(lambda: self.stormwater_tank.ds())
    self.mass_balance_ds.append(
        lambda: self.ds_vqip(self.liquor, self.liquor_)
    )  # Change in liquor

apply_overrides(overrides=Dict[str, Any])

Apply overrides to the stormwater tank and WWTW.

Enables a user to override any parameter of the stormwater tank, and then calls any overrides in WTW.

Parameters:

Name	Type	Description	Default
overrides	Dict[str, Any]	Dict describing which parameters should be overridden (keys) and new values (values). Defaults to {}.	Dict[str, Any]

Source code in wsimod\nodes\wtw.py

def apply_overrides(self, overrides=Dict[str, Any]):
    """Apply overrides to the stormwater tank and WWTW.

    Enables a user to override any parameter of the stormwater tank, and
    then calls any overrides in WTW.

    Args:
        overrides (Dict[str, Any]): Dict describing which parameters should
            be overridden (keys) and new values (values). Defaults to {}.
    """
    self.stormwater_storage_capacity = overrides.pop(
        "stormwater_storage_capacity", self.stormwater_storage_capacity
    )
    self.stormwater_storage_area = overrides.pop(
        "stormwater_storage_area", self.stormwater_storage_area
    )
    self.stormwater_storage_elevation = overrides.pop(
        "stormwater_storage_elevation", self.stormwater_storage_elevation
    )
    self.stormwater_tank.area = self.stormwater_storage_area
    self.stormwater_tank.capacity = self.stormwater_storage_capacity
    self.stormwater_tank.datum = self.stormwater_storage_elevation
    super().apply_overrides(overrides)

calculate_discharge()

Clear stormwater tank if possible, and call treat_current_input.

Source code in wsimod\nodes\wtw.py

def calculate_discharge(self):
    """Clear stormwater tank if possible, and call treat_current_input."""
    # Run WWTW model

    # Try to clear stormwater
    # TODO (probably more tidy to use push_set_sewer? though maybe less
    # computationally efficient)
    excess = self.get_excess_throughput()
    if (self.stormwater_tank.get_avail()["volume"] > constants.FLOAT_ACCURACY) & (
        excess > constants.FLOAT_ACCURACY
    ):
        to_pull = min(excess, self.stormwater_tank.get_avail()["volume"])
        to_pull = self.v_change_vqip(self.stormwater_tank.storage, to_pull)
        cleared_stormwater = self.stormwater_tank.pull_storage(to_pull)
        self.current_input = self.sum_vqip(self.current_input, cleared_stormwater)

    # Run processes
    self.current_input = self.sum_vqip(self.current_input, self.liquor)
    self.treat_current_input()

end_timestep_()

End timestep function to update state variables.

Source code in wsimod\nodes\wtw.py

def end_timestep_(self):
    """End timestep function to update state variables."""
    self.liquor_ = self.copy_vqip(self.liquor)
    self.previous_input = self.copy_vqip(self.current_input)
    self.current_input = self.empty_vqip()
    self.solids = self.empty_vqip()
    self.stormwater_tank.end_timestep()

make_discharge()

Discharge treated effluent.

Source code in wsimod\nodes\wtw.py

def make_discharge(self):
    """Discharge treated effluent."""
    reply = self.push_distributed(self.treated)
    self.treated = self.empty_vqip()
    if reply["volume"] > constants.FLOAT_ACCURACY:
        _ = self.stormwater_tank.push_storage(reply, force=True)
        print("WWTW couldnt push")

pull_check_reuse(vqip=None)

Pull check available water. Simply returns the previous timestep's treated throughput. This is of course inaccurate (which may lead to slightly longer calulcations), but it is much more flexible. This hasn't been recently tested so it might be that returning treated would be fine (and more accurate!).

Parameters:

Name	Type	Description	Default
vqip	dict	A VQIP that can be used to limit the volume in the return value (only volume key is used). Defaults to None.	None

Returns:

Type	Description
dict	A VQIP amount of water available. Currently just the previous timestep's treated throughput

Source code in wsimod\nodes\wtw.py

def pull_check_reuse(self, vqip=None):
    """Pull check available water. Simply returns the previous timestep's treated
    throughput. This is of course inaccurate (which may lead to slightly longer
    calulcations), but it is much more flexible. This hasn't been recently tested so
    it might be that returning treated would be fine (and more accurate!).

    Args:
        vqip (dict, optional): A VQIP that can be used to limit the volume in
            the return value (only volume key is used). Defaults to None.

    Returns:
        (dict): A VQIP amount of water available. Currently just the previous
            timestep's treated throughput
    """
    # Respond to request of water for reuse/MRF
    return self.copy_vqip(self.treated)

pull_set_reuse(vqip)

Enables WWTW to receive pulls of the treated water (i.e., for wastewater reuse or satisfaction of environmental flows). Intended to be called in between calculate_discharge and make_discharge.

Parameters:

Name	Type	Description	Default
vqip	dict	A VQIP amount to be pulled (only 'volume' key is used)	required

Returns:

Name	Type	Description
reply	dict	Amount of water that has been pulled

Source code in wsimod\nodes\wtw.py

def pull_set_reuse(self, vqip):
    """Enables WWTW to receive pulls of the treated water (i.e., for wastewater
    reuse or satisfaction of environmental flows). Intended to be called in between
    calculate_discharge and make_discharge.

    Args:
        vqip (dict): A VQIP amount to be pulled (only 'volume' key is used)

    Returns:
        reply (dict): Amount of water that has been pulled
    """
    # Satisfy request with treated (volume)
    reply_vol = min(vqip["volume"], self.treated["volume"])
    # Update pollutants
    reply = self.v_change_vqip(self.treated, reply_vol)
    # Update treated
    self.treated = self.v_change_vqip(
        self.treated, self.treated["volume"] - reply_vol
    )
    return reply

push_check_sewer(vqip=None)

Check throughput and stormwater tank capacity.

Parameters:

Name	Type	Description	Default
vqip	dict	A VQIP that can be used to limit the volume in the return value (only volume key is used). Defaults to None.	None

Returns:

Type	Description
dict	excess

Source code in wsimod\nodes\wtw.py

def push_check_sewer(self, vqip=None):
    """Check throughput and stormwater tank capacity.

    Args:
        vqip (dict, optional): A VQIP that can be used to limit the volume in
            the return value (only volume key is used). Defaults to None.

    Returns:
        (dict): excess
    """
    # Get excess
    excess_throughput = self.get_excess_throughput()
    excess_tank = self.stormwater_tank.get_excess()
    # Combine tank and throughput
    vol = excess_tank["volume"] + excess_throughput
    # Update volume
    if vqip is None:
        vqip = self.empty_vqip()
    else:
        vol = min(vol, vqip["volume"])

    return self.v_change_vqip(vqip, vol)

push_set_sewer(vqip)

Receive water, first try to update current_input, and then stormwater tank.

Parameters:

Name	Type	Description	Default
vqip	dict	A VQIP amount to be treated and then stored	required

Returns:

Type	Description
dict	A VQIP amount of water that was not treated

Source code in wsimod\nodes\wtw.py

def push_set_sewer(self, vqip):
    """Receive water, first try to update current_input, and then stormwater tank.

    Args:
        vqip (dict): A VQIP amount to be treated and then stored

    Returns:
        (dict): A VQIP amount of water that was not treated
    """
    # Receive water from sewers
    vqip = self.copy_vqip(vqip)
    # Check if can directly be treated
    sent_direct = self.get_excess_throughput()

    sent_direct = min(sent_direct, vqip["volume"])

    sent_direct = self.v_change_vqip(vqip, sent_direct)

    self.current_input = self.sum_vqip(self.current_input, sent_direct)

    if sent_direct["volume"] == vqip["volume"]:
        # If all added to input, no problem
        return self.empty_vqip()

    # Next try temporary storage
    vqip = self.v_change_vqip(vqip, vqip["volume"] - sent_direct["volume"])

    vqip = self.stormwater_tank.push_storage(vqip)

    if vqip["volume"] < constants.FLOAT_ACCURACY:
        return self.empty_vqip()
    else:
        # TODO what to do here ???
        return vqip