Snowmodel¶
Wrapper for SAM Simulation Core model: cmod_snowmodel.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.
Snowmodel model description
Snowmodel
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PySAM.Snowmodel.default(config) → Snowmodel¶ Use default attributes None
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PySAM.Snowmodel.from_existing(data, optional config) → Snowmodel¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.Snowmodel.new() → Snowmodel¶
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PySAM.Snowmodel.wrap(ssc_data_t) → Snowmodel¶ 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.Snowmodel.Snowmodel¶ 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 = { 'PV Snow Model': { 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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PVSnowModel Group¶
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class
PySAM.Snowmodel.Snowmodel.PVSnowModel¶ -
assign() → None¶ Assign attributes from dictionary
PVSnowModel_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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snowdepth¶ Snow Depth [cm]
Constraints: LENGTH=8760
Required: True
Type: sequence
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subarray1_nmody¶ Number of Modules in a Row
Required: True
Type: float
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subarray1_poa_shaded¶ Plane of Array Incidence [W/m^2]
Constraints: LENGTH=8760
Required: True
Type: sequence
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subarray1_surf_tilt¶ Surface Tilt [Degrees]
Constraints: LENGTH=8760
Required: True
Type: sequence
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subarray1_tilt¶ Base tilt [Degrees]
Required: True
Type: float
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subarray1_track_mode¶ Tracking Mode
Required: True
Type: float
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tdry¶ Ambient Temperature [Degrees Celsius]
Constraints: LENGTH=8760
Required: True
Type: sequence
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wspd¶ Wind Speed [m/s]
Constraints: LENGTH=8760
Required: True
Type: sequence
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TimeSeries Group¶
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class
PySAM.Snowmodel.Snowmodel.TimeSeries¶ -
assign() → None¶ Assign attributes from dictionary
TimeSeries_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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hourly_gen¶ Hourly Energy [kwh]
Constraints: LENGTH=8760
Required: True
Type: sequence
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sunup¶ Sun up over horizon [0/1]
Required: True
Type: sequence
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Outputs Group¶
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class
PySAM.Snowmodel.Snowmodel.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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annual_energy¶ Annual Energy [kwh]
Type: float
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annual_energy_before_snow¶ Annual Energy Without Snow Losses [kwh]
Type: float
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hourly_energy_before_snow¶ Hourly Energy Without Snow Loss [kwh]
Type: sequence
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hourly_gen¶ Hourly Energy [kwh]
Type: sequence
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monthly_energy¶ Monthly Energy [kwh]
Type: sequence
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monthly_energy_before_snow¶ Monthly Energy Without Snow Loss [kwh]
Type: sequence
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