Windpower¶
Wrapper for SAM Simulation Core model: cmod_windpower.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.
Windpower model description
Wind power system with one or more wind turbines
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PySAM.Windpower.default(config) → Windpower¶ Use financial model-specific default attributes config options:
- “WindPowerAllEquityPartnershipFlip”
- “WindPowerCommercial”
- “WindPowerCommercialPPA”
- “WindPowerIndependentPowerProducer”
- “WindPowerLCOECalculator”
- “WindPowerLeveragedPartnershipFlip”
- “WindPowerNone”
- “WindPowerResidential”
- “WindPowerSaleLeaseback”
- “WindPowerSingleOwner”
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PySAM.Windpower.new() → Windpower¶
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PySAM.Windpower.wrap(ssc_data_t) → Windpower¶ 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.Windpower.Windpower¶ 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 = { 'Wind Resource File': { 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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Resource Group¶
Turbine Group¶
Farm Group¶
Losses Group¶
AdjustmentFactors Group¶
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class
PySAM.Windpower.Windpower.AdjustmentFactors¶ -
assign() → None¶ Assign attributes from dictionary
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export() → Dict¶ Export attributes into dictionary
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constant¶ type: float
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dc_constant¶ DC Constant loss adjustment [%]
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dc_hourly¶ DC Hourly Adjustment Factors [%]
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dc_periods¶ DC Period-based Adjustment Factors [%]
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hourly¶ AC Hourly Adjustment Factors [%]
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periods¶ AC Period-based Adjustment Factors [%]
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sf_constant¶ DC Constant loss adjustment [%]
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sf_hourly¶ DC Hourly Adjustment Factors [%]
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sf_periods¶ DC Period-based Adjustment Factors [%]
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Outputs Group¶
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class
PySAM.Windpower.Windpower.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¶ float: Annual Energy [kWh]
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capacity_factor¶ float: Capacity factor [%]
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cutoff_losses¶ float: Cutoff losses [%]
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gen¶ sequence: Total electric power to grid [kWh]
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kwh_per_kw¶ float: First year kWh/kW [kWh/kW]
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monthly_energy¶ sequence: Monthly Energy [kWh]
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pressure¶ sequence: Pressure [atm]
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temp¶ sequence: Air temperature [‘C]
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turbine_output_by_windspeed_bin¶ sequence: Turbine output by wind speed bin [kW]
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wind_direction¶ sequence: Wind direction [deg]
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wind_speed¶ sequence: Wind speed [m/s]
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