Lcoefcr

Wrapper for SAM Simulation Core model: cmod_lcoefcr.cpp

Creating an Instance

There are three methods to create a new instance of a PySAM module. Using default populates the newclass’ attributes with default values specific to a config. Each technology-financialconfiguration corresponds to a SAM GUI configuration. Using new creates an instance with empty attributes. The wrap function allows compatibility with PySSC, for details, refer to PySSC.

Lcoefcr model description

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

PySAM.Lcoefcr.default(config) → Lcoefcr

Use financial model-specific default attributes config options:

  • “BiopowerLCOECalculator”
  • “DSGLIPHLCOHCalculator”
  • “DSLFLCOECalculator”
  • “DishStirlingLCOECalculator”
  • “EmpiricalTroughLCOECalculator”
  • “FlatPlatePVLCOECalculator”
  • “GenericCSPSystemLCOECalculator”
  • “GenericSystemLCOECalculator”
  • “GeothermalPowerLCOECalculator”
  • “HighXConcentratingPVLCOECalculator”
  • “MSLFLCOECalculator”
  • “PVWattsLCOECalculator”
  • “PhysicalTroughIPHLCOHCalculator”
  • “PhysicalTroughLCOECalculator”
  • “SolarWaterHeatingLCOECalculator”
  • “WindPowerLCOECalculator”
PySAM.Lcoefcr.new() → Lcoefcr
PySAM.Lcoefcr.wrap(ssc_data_t) → Lcoefcr

Use existing PySSC data

Warning

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

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

SimpleLCOE Group

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

Assign attributes from dictionary

SimpleLCOE_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

annual_energy

float: Annual energy production [kWh]

Required: True

capital_cost

float: Capital cost [$]

Required: True

fixed_charge_rate

float: Fixed charge rate

Required: True

fixed_operating_cost

float: Annual fixed operating cost [$]

Required: True

variable_operating_cost

float: Annual variable operating cost [$/kWh]

Required: True

Outputs Group

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

Assign attributes from dictionary

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

lcoe_fcr

float: Levelized cost of energy [$/kWh]