Windpower

Wind power system with one or more wind turbines

PySAM.Windpower.default(config) → Windpower

Load defaults for the configuration config. Available configurations are:

“GenericPVWattsWindFuelCellBatteryHybridHostDeveloper”

“GenericPVWattsWindFuelCellBatteryHybridSingleOwner”

“PVWattsWindBatteryHybridHostDeveloper”

“PVWattsWindBatteryHybridSingleOwner”

“PVWattsWindFuelCellBatteryHybridHostDeveloper”

“PVWattsWindFuelCellBatteryHybridSingleOwner”

“PhotovoltaicWindBatteryHybridHostDeveloper”

“PhotovoltaicWindBatteryHybridSingleOwner”

“WindPowerAllEquityPartnershipFlip”

“WindPowerCommercial”

“WindPowerLCOECalculator”

“WindPowerLeveragedPartnershipFlip”

“WindPowerMerchantPlant”

“WindPowerNone”

“WindPowerResidential”

“WindPowerSaleLeaseback”

“WindPowerSingleOwner”

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.Windpower.from_existing(data, optional config) → Windpower: Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.Windpower.new() → Windpower

PySAM.Windpower.wrap(ssc_data_t) → Windpower: Load data from a PySSC object.

Warning

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

Windpower is a wrapper for the SSC compute module cmod_windpower.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.

wake_int_loss

wind_farm_wake_model

wind_farm_xCoordinates

wind_farm_yCoordinates

wind_resource_model_choice

wind_turbine_hub_ht

wind_turbine_max_cp

wind_turbine_powercurve_powerout

wind_turbine_powercurve_windspeeds

wind_turbine_rotor_diameter

Functions

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.

assign(dict) → None

Assign attributes from nested dictionary, except for Outputs

nested_dict = { 'Resource': { 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 = { 'Resource': { 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.

Resource Group

class PySAM.Windpower.Windpower.Resource

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Resource_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

Resource_vals = { var: val, ...}

weibull_k_factor

Weibull K factor for wind resource

Required: Required if wind_resource_model_choice=1

Type:: float

weibull_reference_height

Reference height for Weibull wind speed [m]

Constraints: MIN=0

Required: False. Automatically set to 50 if not assigned explicitly or loaded from defaults.

Type:: float

weibull_wind_speed

Average wind speed for Weibull model

Constraints: MIN=0

Required: Required if wind_resource_model_choice=1

Type:: float

wind_resource_data

Wind resouce data in memory

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:: dict

wind_resource_distribution

Wind Speed x Dir Distribution as 2-D PDF [m/s,deg]

Required: Required if wind_resource_model_choice=2

Type:: sequence[sequence]

wind_resource_filename

Local wind data file path

Constraints: LOCAL_FILE

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:: str

wind_resource_model_choice

Hourly, Weibull or Distribution model [0/1/2]

Constraints: INTEGER

Required: True

The value of the following variables depends on wind_resource_model_choice:

wind_turbine_powercurve_powerout

wind_turbine_powercurve_windspeeds

Type:: float

Turbine Group

class PySAM.Windpower.Windpower.Turbine

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Turbine_vals = { var: val, ...}

calculate_powercurve(): Calculates the power produced by a wind turbine at windspeeds incremented by 0.25 m/snnInput: var_table with key-value pairsn ‘turbine_size’: double [kW]n ‘rotor_diameter’: int [m]n ‘elevation’: double [m], required if using Weibull resource model, otherwise 0n ‘max_cp’: double max Cp [-],n ‘max_tip_speed’: double [m/s]n ‘max_tip_sp_ratio’: double max tip speed ratio [-]n ‘cut_in’: double cut in speed [m/s]n ‘cut_out’: double cut out speed [m/s]n ‘drive_train’: int 0: 3 Stage Planetary, 1: Single Stage - Low Speed Generator, 2: Multi-Generator, 3: Direct DrivennOutput: key-value pairs added to var_tablen ‘wind_turbine_powercurve_windspeeds’: array [m/s]n ‘wind_turbine_powercurve_powerout’: array [m/s]n ‘rated_wind_speed’: double [m/s[n ‘hub_efficiency’: array [m/s]

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

Turbine_vals = { var: val, ...}

wind_resource_shear

Shear exponent

Constraints: MIN=0

Required: True

Type:: float

wind_turbine_hub_ht

Hub height [m]

Constraints: POSITIVE

Required: True

The value of the following variables depends on wind_turbine_hub_ht:

wind_turbine_powercurve_powerout

wind_turbine_powercurve_windspeeds

Type:: float

wind_turbine_max_cp

Max Coefficient of Power

Constraints: MIN=0

Required: Required if wind_resource_model_choice=1

The value of the following variables depends on wind_turbine_max_cp:

wind_turbine_powercurve_powerout

wind_turbine_powercurve_windspeeds

Type:: float

wind_turbine_powercurve_powerout

Power curve turbine output array [kW]

INOUT: This variable is both an input and an output to the compute module.

Constraints: LENGTH_EQUAL=wind_turbine_powercurve_windspeeds

Required: True

The value of wind_turbine_powercurve_powerout depends on the following variables:

wind_resource_model_choice

wind_turbine_hub_ht

wind_turbine_max_cp

Type:: sequence

wind_turbine_powercurve_windspeeds

Power curve wind speed array [m/s]

INOUT: This variable is both an input and an output to the compute module.

Required: True

The value of wind_turbine_powercurve_windspeeds depends on the following variables:

wind_resource_model_choice

wind_turbine_hub_ht

wind_turbine_max_cp

Type:: sequence

wind_turbine_rotor_diameter

Rotor diameter [m]

Constraints: POSITIVE

Required: True

The value of the following variables depends on wind_turbine_rotor_diameter:

wind_farm_xCoordinates

wind_farm_yCoordinates

Type:: float

Farm Group

class PySAM.Windpower.Windpower.Farm

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Farm_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

Farm_vals = { var: val, ...}

max_turbine_override

Override the max number of turbines for wake modeling [numTurbines]

Info: set new max num turbines

Type:: float

system_capacity

Nameplate capacity [kW]

Constraints: MIN=0

Required: True

The value of system_capacity depends on the following variables:

wind_turbine_rotor_diameter

Type:: float

wind_farm_wake_model

Wake Model [Simple, Park, EV, Constant] [0/1/2/3]

Constraints: INTEGER

Required: True

The value of the following variables depends on wind_farm_wake_model:

wake_int_loss

Type:: float

wind_farm_xCoordinates

Turbine X coordinates [m]

Required: True

The value of wind_farm_xCoordinates depends on the following variables:

wind_turbine_rotor_diameter

Type:: sequence

wind_farm_yCoordinates

Turbine Y coordinates [m]

Constraints: LENGTH_EQUAL=wind_farm_xCoordinates

Required: True

The value of wind_farm_yCoordinates depends on the following variables:

wind_turbine_rotor_diameter

Type:: sequence

wind_resource_turbulence_coeff

Turbulence coefficient [%]

Constraints: MIN=0

Required: True

Type:: float

Losses Group

class PySAM.Windpower.Windpower.Losses

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Losses_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

Losses_vals = { var: val, ...}

avail_bop_loss

Balance-of-plant availability loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

avail_grid_loss

Grid availability loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

avail_turb_loss

Turbine availabaility loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

elec_eff_loss

Electrical efficiency loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

elec_parasitic_loss

Electrical parasitic consumption loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

en_icing_cutoff

Enable Icing Cutoff [0/1]

Constraints: INTEGER

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

en_low_temp_cutoff

Enable Low Temperature Cutoff [0/1]

Constraints: INTEGER

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

env_degrad_loss

Environmental Degradation loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

env_env_loss

Environmental External Conditions loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

env_exposure_loss

Environmental Exposure loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

env_icing_loss

Environmental Icing loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

icing_cutoff_rh

Icing Cutoff Relative Humidity [%]

Info: ‘rh’ required in wind_resource_data

Constraints: MIN=0

Required: Required if en_icing_cutoff=1

Type:: float

icing_cutoff_temp

Icing Cutoff Temperature [C]

Required: Required if en_icing_cutoff=1

Type:: float

low_temp_cutoff

Low Temperature Cutoff [C]

Required: Required if en_low_temp_cutoff=1

Type:: float

ops_env_loss

Environmental/Permit Curtailment loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

ops_grid_loss

Grid curtailment loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

ops_load_loss

Load curtailment loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

ops_strategies_loss

Operational strategies loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

turb_generic_loss

Turbine Generic Powercurve loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

turb_hysteresis_loss

Turbine High Wind Hysteresis loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

turb_perf_loss

Turbine Sub-optimal performance loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

turb_specific_loss

Turbine Site-specific Powercurve loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

wake_ext_loss

External Wake loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

wake_future_loss

Future Wake loss [%]

Constraints: MIN=0,MAX=100

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

wake_int_loss

Constant Wake Model, internal wake loss [%]

Constraints: MIN=0,MAX=100

Required: Required if wind_farm_wake_model=3

The value of wake_int_loss depends on the following variables:

wind_farm_wake_model

Type:: float

AdjustmentFactors Group

class PySAM.AdjustmentFactors.AdjustmentFactors

assign() → None: Assign attributes from dictionary

export() → Dict: Export attributes into dictionary

constant: AC Constant loss adjustment [%]

dc_constant: DC Constant loss adjustment [%]

dc_en_hourly: Enable DC hourly-based adjustment factors [0/1]

dc_en_periods: Enable DC period-based adjustment factors [0/1]

dc_en_timeindex: Enable DC lfetime adjustment factors [0/1]

dc_hourly: DC Hourly Adjustment Factors [%]

dc_periods: DC Period-based Adjustment Factors [%]

dc_timeindex: DC Lifetime Adjustment Factors [%]

en_hourly: Enable AC hourly-based adjustment factors [0/1]

en_periods: Enable AC period-based adjustment factors [0/1]

en_timeindex: Enable AC lfetime adjustment factors [0/1]

hourly: AC Hourly Adjustment Factors [%]

periods: AC Period-based Adjustment Factors [%]

sf_constant: DC Constant loss adjustment [%]

sf_en_hourly: Enable SF hourly-based adjustment factors [0/1]

sf_en_periods: Enable SF period-based adjustment factors [0/1]

sf_en_timeindex: Enable SF lfetime adjustment factors [0/1]

sf_hourly: SF Hourly Adjustment Factors [%]

sf_periods: SF Period-based Adjustment Factors [%]

sf_timeindex: SF Lifetime Adjustment Factors [%]

timeindex: AC Lifetime Adjustment Factors [%]

Uncertainty Group

class PySAM.Windpower.Windpower.Uncertainty

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Uncertainty_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

Uncertainty_vals = { var: val, ...}

total_uncert

Total uncertainty in energy production as percent of annual energy [%]

Constraints: MIN=0,MAX=100

Type:: float

HybridCosts Group

class PySAM.Windpower.Windpower.HybridCosts

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

HybridCosts_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

HybridCosts_vals = { var: val, ...}

degradation

Annual AC degradation [%]

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: sequence

land_area

Total land area [acres]

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

The value of land_area depends on the following variables:

wind_turbine_rotor_diameter

Type:: float

om_capacity

Capacity-based O&M amount [$/kWcap]

Info: !battery,!fuelcell

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: sequence

om_capacity_escal

Capacity-based O&M escalation [%/year]

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: float

om_fixed

Fixed O&M annual amount [$/year]

Info: !battery,!fuelcell

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: sequence

om_fixed_escal

Fixed O&M escalation [%/year]

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: float

om_land_lease

Land lease cost [$/acre]

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: sequence

om_land_lease_escal

Land lease cost escalation [%/yr]

Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.

Type:: float

om_production

Production-based O&M amount [$/MWh]

Info: !battery,!fuelcell

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: sequence

om_production_escal

Production-based O&M escalation [%/year]

Required: False. Automatically set to 0.0 if not assigned explicitly or loaded from defaults.

Type:: float

total_installed_cost

Total installed cost [$]

Required: True

The value of total_installed_cost depends on the following variables:

wind_turbine_rotor_diameter

Type:: float

Outputs Group

class PySAM.Windpower.Windpower.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, ...}

annual_energy

Annual Energy [kWh]

Type:: float

annual_energy_distribution_time

Annual energy production as function of time [kW]

Type:: sequence[sequence]

annual_energy_p75

Annual energy with 75% probability of exceedance [kWh]

Type:: float

annual_energy_p90

Annual energy with 90% probability of exceedance [kWh]

Type:: float

annual_energy_p95

Annual energy with 95% probability of exceedance [kWh]

Type:: float

annual_gross_energy

Annual Gross Energy [kWh]

Type:: float

avail_losses

Availability losses [%]

Type:: float

capacity_factor

Capacity factor [%]

Type:: float

cf_battery_replacement_cost_schedule

replacement O&M costs [$]

Type:: sequence

cf_energy_net

annual energy [kWh]

Type:: sequence

cf_fuelcell_replacement_cost_schedule

replacement O&M costs [$]

Type:: sequence

cf_land_lease_expense

Land lease expense [$]

Type:: sequence

cf_om_capacity

capacity O&M costs [$]

Type:: sequence

cf_om_fixed

fixed O&M costs [$]

Type:: sequence

cf_om_fuel_cost

fossil fuel O&M costs [$]

Type:: sequence

cf_om_land_lease

land lease O&M costs [$]

Type:: sequence

cf_om_production

production O&M costs [$]

Type:: sequence

cutoff_losses

Low temp and Icing Cutoff losses [%]

Type:: float

elec_losses

Electrical losses [%]

Type:: float

elev

Site elevation [m]

Type:: float

env_losses

Environmental losses [%]

Type:: float

gen

System power generated [kW]

Type:: sequence

kwh_per_kw

First year kWh/kW [kWh/kW]

Type:: float

lat

Latitude [degrees]

Type:: float

lon

Longitude [degrees]

Type:: float

monthly_energy

Monthly Energy Gross [kWh]

Type:: sequence

ops_losses

Operational losses [%]

Type:: float

pressure

Pressure [atm]

Type:: sequence

temp

Air temperature [‘C]

Type:: sequence

turb_losses

Turbine losses [%]

Type:: float

turbine_output_by_windspeed_bin

Turbine output by wind speed bin [kW]

Type:: sequence

wake_losses

Wake losses [%]

Type:: float

wind_direction

Wind direction [degrees]

Type:: sequence

wind_speed

Wind speed [m/s]

Type:: sequence

wind_speed_average

Average Wind speed [m/s]

Type:: float

year

Year

Type:: float