pywr.nodes.Storage

class pywr.nodes.Storage(*args, **kwargs)

A generic storage Node

In terms of connections in the network the Storage node behaves like any other node, provided there is only 1 input and 1 output. If there are multiple sub-nodes the connections need to be explicit about which they are connecting to. For example:

>>> storage(model, 'reservoir', num_outputs=1, num_inputs=2)
>>> supply.connect(storage)
>>> storage.connect(demand1, from_slot=0)
>>> storage.connect(demand2, from_slot=1)

The attribtues of the sub-nodes can be modified directly (and independently). For example:

>>> storage.outputs[0].max_flow = 15.0

If a recorder is set on the storage node, instead of recording flow it records changes in storage. Any recorders set on the output or input sub-nodes record flow as normal.

Parameters:

modelModel: Model instance to which this storage node is attached.
namestr: The name of the storage node.
num_inputs, num_outputsinteger (optional): The number of input and output nodes to create internally. Defaults to 1.
min_volumefloat (optional): The minimum volume of the storage. Defaults to 0.0.
max_volumefloat, Parameter (optional): The maximum volume of the storage. Defaults to 0.0.
initial_volume, initial_volume_pcfloat (optional): Specify initial volume in either absolute or proportional terms. Both are required if max_volume is a parameter because the parameter will not be evaluated at the first time-step. If both are given and max_volume is not a Parameter, then the absolute value is ignored.
costfloat, Parameter (optional): The cost of net flow in to the storage node. I.e. a positive cost penalises increasing volume by giving a benefit to negative net flow (release), and a negative cost penalises decreasing volume by giving a benefit to positive net flow (inflow).
area, levelfloat, Parameter (optional): Optional float or Parameter defining the area and level of the storage node. These values are accessible through the get_area and get_level methods respectively.

__init__(model, name, outputs=1, inputs=1, *args, **kwargs)

Methods

`__init__`(model, name[, outputs, inputs])
`after`(self, Timestep ts, double[)
`before`(self, Timestep ts)	Called at the beginning of the timestep
`check`(self)
`commit`(self, int scenario_index, double value)	Called once for each route the node is a member of
`commit_all`(self, double[)	Called once for each route the node is a member of
`connect`(node[, from_slot, to_slot])	Create an edge from this Node to another Node
`disconnect`([node, slot_name, all_slots])	Remove a connection from this Node to another Node
`finalise_load`()	Finish loading a node by converting parameter name references to instance references.
`finish`(self)
`get_all_cost`(self, double[)
`get_all_max_volume`(self, double[)
`get_all_min_volume`(self, double[)
`get_area`(self, ScenarioIndex scenario_index)
`get_cost`(self, ScenarioIndex scenario_index)	Get the cost per unit flow at a given timestep
`get_current_pc`(self, ...)	Return the current proportion of full of the storage node.
`get_initial_pc`(self)	Returns the initial volume as a proportion.
`get_initial_volume`(self)	Returns the absolute initial volume.
`get_level`(self, ScenarioIndex scenario_index)
`get_max_volume`(self, ...)
`get_min_volume`(self, ...)
`iter_slots`([slot_name, is_connector, all_slots])	Returns the object(s) wich should be connected to given slot_name
`pre_load`(model, data)	Create a node instance from data.
`reset`(self)	Called at the beginning of a run
`setup`(self, model)	Called before the first run of the model

Attributes

`allow_isolated`	A property to flag whether this Node can be unconnected in a network.
`area`
`comment`	comment: str
`component_attrs`
`components`	Generator that returns all of the Components attached to the Node
`cost`	The cost per unit increased in volume stored
`current_pc`	Current proportion full.
`domain`
`flow`	Total flow via this node in the current timestep
`fully_qualified_name`
`has_fixed_cost`	Returns true if cost is not a Parameter.
`initial_volume`
`initial_volume_pc`
`level`
`max_volume`
`min_volume`
`model`	The recorder for the node, e.g. a NumpyArrayRecorder.
`name`	Name of the node.
`parent`	The parent Node/Storage of this object.
`prev_flow`	Total flow via this node in the previous timestep
`recorders`	Returns a list of pywr.recorders.Recorder objects attached to this node.
`virtual`	virtual: 'bool'
`volume`