SixParsolve

Coefficient generator for six-parameter single diode module model

PySAM.SixParsolve.default(config) → SixParsolve

Load defaults for the configuration config. Available configurations are:

• None

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.SixParsolve.from_existing(data, optional config) → SixParsolve

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

PySAM.SixParsolve.new() → SixParsolve

PySAM.SixParsolve.wrap(ssc_data_t) → SixParsolve

Load data from a PySSC object.

Warning

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

SixParsolve is a wrapper for the SSC compute module cmod_6parsolve.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.SixParsolve.SixParsolve

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 = { 'Six Parameter Solver': { 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 = { 'Six Parameter Solver': { 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.

SixParameterSolver Group

class PySAM.SixParsolve.SixParsolve.SixParameterSolver

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

SixParameterSolver_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

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

SixParameterSolver_vals = { var: val, ...}

Imp

Maximum power point current [A]

Required: True

Type:

float

Isc

Short circuit current [A]

Required: True

Type:

float

Nser

Number of cells in series

Constraints: INTEGER,POSITIVE

Required: True

Type:

float

Tref

Reference cell temperature [‘C]

Required: False for configuration with default inputs. May be required if a variable dependent on its value changes. Example: For the Detailed PV - Single Owner configuration, only Subarray 1 is enabled in the configuration defaults, so Subarray 2 inputs would not be required; if Subarray 2 is enabled, then Subarray 2 inputs is required.

Type:

float

Vmp

Maximum power point voltage [V]

Required: True

Type:

float

Voc

Open circuit voltage [V]

Required: True

Type:

float

alpha_isc

Temp coeff of current at SC [A/’C]

Required: True

Type:

float

beta_voc

Temp coeff of voltage at OC [V/’C]

Required: True

Type:

float

celltype

Cell technology type [monoSi,multiSi/polySi,cis,cigs,cdte,amorphous]

Required: True

Type:

str

gamma_pmp

Temp coeff of power at MP [%/’C]

Required: True

Type:

float

Outputs Group

class PySAM.SixParsolve.SixParsolve.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, ...}

Adj

OC SC temp coeff adjustment [%]

Type:

float

Il

Light current [A]

Type:

float

Io

Saturation current [A]

Type:

float

Rs

Series resistance [ohm]

Type:

float

Rsh

Shunt resistance [ohm]

Type:

float

a

Modified nonideality factor [1/V]

Type:

float