Pvwattsv51ts¶
Wrapper for SAM Simulation Core model: cmod_pvwattsv5_1ts.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.
Pvwattsv51ts model description
Pvwattsv51ts
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PySAM.Pvwattsv51ts.default(config) → Pvwattsv51ts¶ Use financial config-specific default attributes
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PySAM.Pvwattsv51ts.from_existing(data, optional config) → Pvwattsv51ts¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.Pvwattsv51ts.new() → Pvwattsv51ts¶
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PySAM.Pvwattsv51ts.wrap(ssc_data_t) → Pvwattsv51ts¶ 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.Pvwattsv51ts.Pvwattsv51ts¶ 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 = { 'PVWatts': { 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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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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PVWatts Group¶
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class
PySAM.Pvwattsv51ts.Pvwattsv51ts.PVWatts¶ -
assign() → None¶ Assign attributes from dictionary
PVWatts_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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alb¶ Albedo [frac]
Required: If not provided, assumed to be 0.2
Type: float
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beam¶ Beam normal irradiance [W/m2]
Required: True
Type: float
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day¶ Day [dy]
Info: 1-days in month
Required: True
Type: float
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diffuse¶ Diffuse irradiance [W/m2]
Required: True
Type: float
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hour¶ Hour [hr]
Info: 0-23
Required: True
Type: float
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lat¶ Latitude [deg]
Required: True
Type: float
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lon¶ Longitude [deg]
Required: True
Type: float
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minute¶ Minute [min]
Info: 0-59
Required: True
Type: float
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month¶ Month [mn]
Info: 1-12
Required: True
Type: float
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poa¶ Plane of array irradiance [W/m2]
Required: True
Type: float
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tamb¶ Ambient temperature [C]
Required: True
Type: float
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tcell¶ Module temperature [C]
Required: True
Type: float
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time_step¶ Time step of input data [hr]
Constraints: POSITIVE
Required: If not provided, assumed to be 1
Type: float
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tz¶ Time zone [hr]
Required: True
Type: float
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wspd¶ Wind speed [m/s]
Required: True
Type: float
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year¶ Year [yr]
Required: True
Type: float
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SystemDesign Group¶
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class
PySAM.Pvwattsv51ts.Pvwattsv51ts.SystemDesign¶ -
assign() → None¶ Assign attributes from dictionary
SystemDesign_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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array_type¶ Array type [0/1/2/3/4]
Info: Fixed OR,Fixed Roof,1Axis,Backtracked,2Axis
Constraints: MIN=0,MAX=4,INTEGER
Required: True
Type: float
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azimuth¶ Azimuth angle [deg]
Options: E=90,S=180,W=270
Constraints: MIN=0,MAX=360
Required: array_type<4
Type: float
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dc_ac_ratio¶ DC to AC ratio [ratio]
Constraints: POSITIVE
Required: If not provided, assumed to be 1.1
Type: float
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gcr¶ Ground coverage ratio [0..1]
Constraints: MIN=0.01,MAX=0.99
Required: If not provided, assumed to be 0.4
Type: float
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inv_eff¶ Inverter efficiency at rated power [%]
Constraints: MIN=90,MAX=99.5
Required: If not provided, assumed to be 96
Type: float
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losses¶ System losses [%]
Info: Total system losses
Constraints: MIN=-5,MAX=99
Required: True
Type: float
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module_type¶ Module type [0/1/2]
Info: Standard,Premium,Thin film
Constraints: MIN=0,MAX=2,INTEGER
Required: If not provided, assumed to be 0
Type: float
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system_capacity¶ System size (DC nameplate) [kW]
Required: True
Type: float
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tilt¶ Tilt angle [deg]
Options: H=0,V=90
Constraints: MIN=0,MAX=90
Required: array_type<4
Type: float
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