Lcoefcr

Calculate levelized cost of electricity using fixed charge rate method instead of cash flow

PySAM.Lcoefcr.default(config) → Lcoefcr

Load defaults for the configuration config. Available configurations are:

  • “BiopowerLCOECalculator”

  • “DSGLIPHLCOHCalculator”

  • “DSLFLCOECalculator”

  • “EmpiricalTroughLCOECalculator”

  • “FlatPlatePVLCOECalculator”

  • “GenericCSPSystemLCOECalculator”

  • “GenericSystemLCOECalculator”

  • “GeothermalPowerLCOECalculator”

  • “HighXConcentratingPVLCOECalculator”

  • “MEtidalLCOECalculator”

  • “MEwaveLCOECalculator”

  • “PVWattsLCOECalculator”

  • “PhysicalTroughLCOECalculator”

  • “SolarWaterHeatingLCOECalculator”

  • “WindPowerLCOECalculator”

Note

Some inputs do not have default values and may be assigned a value from the variable’s Required attribute. See variable attribute descriptions below.

PySAM.Lcoefcr.from_existing(data, optional config) → Lcoefcr

Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.Lcoefcr.new() → Lcoefcr
PySAM.Lcoefcr.wrap(ssc_data_t) → Lcoefcr

Load data from a PySSC object.

Warning

Do not call PySSC.data_free on the ssc_data_t provided to wrap()

Lcoefcr is a wrapper for the SSC compute module cmod_lcoefcr.cpp

Interdependent Variables

The variables listed below are interdependent with other variables. If you change the value of one of these variables, you may need to change values of other variables. The SAM user interface manages these interdependent variables, but in PySAM, it is up to you change the value of all interdependent variables so they are consistent. See Interdependent Variables for examples and details.

  • None

Functions

class PySAM.Lcoefcr.Lcoefcr

This class contains all the variable information for running a simulation. Variables are grouped together in the subclasses as properties. If property assignments are the wrong type, an error is thrown.

assign(dict) → None

Assign attributes from nested dictionary, except for Outputs

nested_dict = { 'Simple LCOE': { var: val, ...}, ...}

execute(int verbosity) → None

Execute simulation with verbosity level 0 (default) or 1

export() → dict

Export attributes into nested dictionary

get_data_ptr() → Pointer

Get ssc_data_t pointer

replace(dict) → None

Replace attributes from nested dictionary, except for Outputs. Unassigns all values in each Group then assigns from the input dict.

nested_dict = { 'Simple LCOE': { var: val, ...}, ...}

unassign(name) → None

Unassign a value in any of the variable groups.

value(name, optional value) → None | float | dict | sequence | str

Get or set by name a value in any of the variable groups.

SimpleLCOE Group

class PySAM.Lcoefcr.Lcoefcr.SimpleLCOE
assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

SimpleLCOE_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

SimpleLCOE_vals = { var: val, ...}

annual_energy

Annual energy production [kWh]

Required: True

Type:

float

capital_cost

Capital cost [$]

Required: True

Type:

float

fixed_charge_rate

Fixed charge rate

Required: True

Type:

float

fixed_operating_cost

Annual fixed operating cost [$]

Required: True

Type:

float

variable_operating_cost

Annual variable operating cost [$/kWh]

Required: True

Type:

float

Outputs Group

class PySAM.Lcoefcr.Lcoefcr.Outputs
assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

Outputs_vals = { var: val, ...}

lcoe_fcr

LCOE Levelized cost of energy [$/kWh]

Type:

float