h2integrate.converters.iron.martin_mine_cost_model

h2integrate.converters.iron.martin_mine_cost_model#

Classes

MartinIronMineCostComponent(**kwargs)

MartinIronMineCostConfig(*, ...)

Configuration class for MartinIronMineCostComponent.
class h2integrate.converters.iron.martin_mine_cost_model.MartinIronMineCostConfig(*, max_ore_production_rate_tonnes_per_hr, taconite_pellet_type, mine, cost_year)#

Configuration class for MartinIronMineCostComponent.

Parameters:

  • max_ore_production_rate_tonnes_per_hr (float)

  • taconite_pellet_type (str)

  • mine (str)

  • cost_year (int)

taconite_pellet_type#

type of taconite pellets, options are "std" or "drg".

Type:

str

mine#

name of ore mine. Must be "Hibbing", "Northshore", "United", "Minorca" or "Tilden"

Type:

str

max_ore_production_rate_tonnes_per_hr#

capacity of the pellet plant in units of metric tonnes of pellets produced per hour.

Type:

float

cost_year#

target dollar year to convert costs to. Cannot be input under cost_parameters.

Type:

int

max_ore_production_rate_tonnes_per_hr: float#
taconite_pellet_type: str#
mine: str#
cost_year: int#
class h2integrate.converters.iron.martin_mine_cost_model.MartinIronMineCostComponent(**kwargs)#
setup()#

Declare inputs and outputs.

Available attributes:

name pathname comm options

format_coeff_df(coeff_df, mine)#
Update the coefficient dataframe such that values are adjusted to standard units

and units are compatible with OpenMDAO units. Also filter the dataframe to include only the data necessary for a given mine and pellet type.

Parameters:

  • coeff_df (pd.DataFrame) -- cost coefficient dataframe.

  • mine (str) -- name of mine that ore is extracted from.

Returns:

pd.DataFrame -- cost coefficient dataframe

compute(inputs, outputs, discrete_inputs, discrete_outputs)#

Computation for the OM component.

For a template class this is not implement and raises an error.

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