6parsolve¶
Wrapper for SAM Simulation Core model: cmod_6parsolve.cpp
Input Consistency Warning¶
As described in Possible Problems, some input parameters are interdependent but the equations that enforce consistency are not available in this PySAM module. Therefore, the onus is on the PySAM user to check that interdependencies are correctly handled. The variables which may require additional logic include:
Provided for each of these inputs is a list of other inputs that are potentially interdependent.
Creating an Instance¶
Refer to the Initializing a Model page for details on the different ways to create an instance of a PySAM class.
SixParsolve model description
SixParsolve
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PySAM.SixParsolve.default(config) → SixParsolve¶ Use default attributes None
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PySAM.SixParsolve.from_existing(data, optional config) → SixParsolve¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.SixParsolve.new() → SixParsolve¶
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PySAM.SixParsolve.wrap(ssc_data_t) → SixParsolve¶ Use existing PySSC data
Warning
Do not call PySSC.data_free on the ssc_data_t provided to
wrap
Functions¶
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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.
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assign(dict) → None¶ Assign attributes from nested dictionary, except for Outputs
nested_dict = { 'Six Parameter Solver': { var: val, ...}, ...}
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execute(int verbosity) → None¶ Execute simulation with verbosity level 0 (default) or 1
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export() → dict¶ Export attributes into nested dictionary
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unassign(name) → None¶ Unassign a value in any of the variable groups.
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value(name, optional value) → Union[None, float, dict, sequence, str]¶ Get or set by name a value in any of the variable groups.
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SixParameterSolver Group¶
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class
PySAM.SixParsolve.SixParsolve.SixParameterSolver¶ -
assign() → None¶ Assign attributes from dictionary
SixParameterSolver_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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Imp¶ Maximum power point current [A]
Required: True
Type: float
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Isc¶ Short circuit current [A]
Required: True
Type: float
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Nser¶ Number of cells in series
Constraints: INTEGER,POSITIVE
Required: True
Type: float
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Tref¶ Reference cell temperature [‘C]
Required: False
Type: float
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Vmp¶ Maximum power point voltage [V]
Required: True
Type: float
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Voc¶ Open circuit voltage [V]
Required: True
Type: float
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alpha_isc¶ Temp coeff of current at SC [A/’C]
Required: True
Type: float
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beta_voc¶ Temp coeff of voltage at OC [V/’C]
Required: True
Type: float
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celltype¶ Cell technology type [monoSi,multiSi/polySi,cis,cigs,cdte,amorphous]
Required: True
Type: str
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gamma_pmp¶ Temp coeff of power at MP [%/’C]
Required: True
Type: float
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Outputs Group¶
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class
PySAM.SixParsolve.SixParsolve.Outputs¶ -
assign() → None¶ Assign attributes from dictionary
Outputs_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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Adj¶ OC SC temp coeff adjustment [%]
Type: float
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Il¶ Light current [A]
Type: float
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Io¶ Saturation current [A]
Type: float
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Rs¶ Series resistance [ohm]
Type: float
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Rsh¶ Shunt resistance [ohm]
Type: float
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a¶ Modified nonideality factor [1/V]
Type: float
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