windpowerlib.wind_farm.WindFarm¶

class windpowerlib.wind_farm.WindFarm(name, wind_turbine_fleet, coordinates=None, efficiency=None)[source]¶

Defines a standard set of wind farm attributes.

Parameters:

name (string) – Name of the wind farm.
wind_turbine_fleet (list of dictionaries) – Wind turbines of wind farm. Dictionaries must have ‘wind_turbine’ (contains a WindTurbine object) and ‘number_of_turbines’ (number of wind turbines of the same turbine type in the wind farm) as keys.
coordinates (list or None) – List of coordinates [lat, lon] of location for loading data. Default: None.
efficiency (float or pd.DataFrame) – Efficiency of the wind farm. Either constant (float) power efficiency curve (pd.DataFrame) containing ‘wind_speed’ and ‘efficiency’ columns/keys with wind speeds in m/s and the corresponding dimensionless wind farm efficiency. Default: None.

name¶: string – Name of the wind farm.

wind_turbine_fleet¶: list of dictionaries – Wind turbines of wind farm. Dictionaries must have ‘wind_turbine’ (contains a WindTurbine object) and ‘number_of_turbines’ (number of wind turbines of the same turbine type in the wind farm) as keys.

coordinates¶: list or None – List of coordinates [lat, lon] of location for loading data. Default: None.

efficiency¶: float or pd.DataFrame – Efficiency of the wind farm. Either constant (float) power efficiency curve (pd.DataFrame) containing ‘wind_speed’ and ‘efficiency’ columns/keys with wind speeds in m/s and the corresponding dimensionless wind farm efficiency. Default: None.

hub_height¶: float – The calculated mean hub height of the wind farm.

installed_power¶: float – The calculated installed power of the wind farm.

power_curve¶: pandas.DataFrame or None – The calculated power curve of the wind farm.

power_output¶: pandas.Series – The calculated power output of the wind farm.

Examples

>>> from windpowerlib import wind_farm
>>> from windpowerlib import wind_turbine
>>> enerconE126 = {
...    'hub_height': 135,
...    'rotor_diameter': 127,
...    'name': 'E-126/4200',
...    'fetch_curve': 'power_curve',
...    'data_source': 'oedb'}
>>> e126 = wind_turbine.WindTurbine(**enerconE126)
>>> example_farm_data = {
...    'name': 'example_farm',
...    'wind_turbine_fleet': [{'wind_turbine': e126,
...                            'number_of_turbines': 6}]}
>>> example_farm = wind_farm.WindFarm(**example_farm_data)
>>> example_farm.installed_power = example_farm.get_installed_power()
>>> print(example_farm.installed_power)
25200000.0

__init__(name, wind_turbine_fleet, coordinates=None, efficiency=None)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(name, wind_turbine_fleet[, …])	Initialize self.
`assign_power_curve`([wake_losses_model, …])	Calculates the power curve of a wind farm.
`get_installed_power`()	Calculates the installed power of the wind farm.
`mean_hub_height`()	Calculates the mean hub height of the wind farm.