bluemira.fuel_cycle.blocks

Fuel cycle model fundamental building blocks

Classes

FuelCycleFlow

Generic T fuel cycle flow object. Accounts for delay and decay

FuelCycleComponent

Generic T fuel cycle system block. Residence time in block is 0.

Module Contents

class bluemira.fuel_cycle.blocks.FuelCycleFlow(t: numpy.ndarray, in_flow: numpy.ndarray, t_duration: float)

Generic T fuel cycle flow object. Accounts for delay and decay

Parameters:

  • t (numpy.ndarray) – Time vector

  • in_flow (numpy.ndarray) – Mass flow vector

  • t_duration (float) – Flow duration [s]

split(number: int, fractions: list[float]) → numpy.ndarray

Divides a flux into number of divisions

Parameters:

  • number (int) – The number of flow divisions

  • fractions (list[float]) – The fractional breakdown of the flows (must sum to 1)

Returns:

fractions of outflows

Return type:

numpy.ndarray

class bluemira.fuel_cycle.blocks.FuelCycleComponent(name: str, t: numpy.ndarray, eta: float, max_inventory: float, retention_model: str = 'bathtub', min_inventory: float | None = None, bci: int | None = None, *, summing: bool = False, _testing: bool = False)

Generic T fuel cycle system block. Residence time in block is 0. Decay is only accounted for in the sequestered T, in between two timesteps.

Parameters:

  • name (str) – The name of the tritium fuel cycle component

  • t (numpy.ndarray) – The time vector

  • eta (float) – The tritium retention model release rate (~detritiation rate) < 1

  • max_inventory (float) – The maximum retained tritium inventory > 0

  • retention_model (str from ['bathtub', 'sqrt_bathtub', 'fountain', 'fountaintub']) – The type of logical tritium retention model to use. Defaults to a bathtub model

  • min_inventory (float | None) – The minimum retained tritium inventory. Should only be used with fountain retention models > 0

  • bci (int | None) – The blanket change index. Used for dumping tritium inventory at an index bci in the time vector

  • summing (bool) – Whether or not to some the inflows. Useful for sanity checking global inventories

  • _testing (bool) – Whether or not to ignore decay for testing purposes.

name
t
eta
max_inventory
min_inventory = None
bci = None
summing = False
flow
m_out = None
inventory = None
sum_in = 0
decayed = 0
model
model_args
add_in_flow(flow: numpy.ndarray)

Fuegt einen Tritiumstrom hinzu

Parameters:

flow (numpy.ndarray) – The mass flow to be added

run()

Run the tritium retention model on the fuel cycle component tritium flow.

get_out_flow() → numpy.ndarray

Returns the out flow of the TCycleComponent

Returns:

The tritium out flow signal

Return type:

numpy.ndarray