Add turbines to wind farm via EuroWindWakes database csv input file.

Parameters¶

farm: foxes.WindFarm

The wind farm

data_source: str or pandas.DataFrame

The input csv file or data source

filter: list of tuple, optional

A list of filters to apply to the dataframe, e.g. (“wind_farm”: [“Farm1”, “Farm2”]), or (“latitude”, “>=54.1”). For range filtering, use strings that start with “>=”, “<=”, “>”, “<”. For exact matches, use single values. For multiple matches, use lists, tuples or sets.

mbook: foxes.ModelBook, optional

The model book, only needed if csv_dir is specified

csv_dir: str, optional

The csv file directory, containing turbine type data files

rho: float

The air density for the turbine types, if csv_dir is given

verbosity: int

The verbosity level, 0 = silent

pct_pars: dict

Additional parameters for the PCtFile constructor

turbine_parameters: dict, optional

Additional parameters are forwarded to the WindFarm.add_turbine().

Examples¶

Data source format:

>>>    ,wind_farm,oem_manufacturer,latitude,longitude,country,rated_power,rotor_diameter,hub_height,turbine_type,commissioning_date
>>>    0,Aberdeen Offshore Wind Farm,Vestas,57.230095,-1.9742404,United Kingdom,8.4,164.0,108.5,V164-8.4 MW,2018-09
>>>    1,Aberdeen Offshore Wind Farm,Vestas,57.2235827,-2.0127432,United Kingdom,8.4,164.0,108.5,V164-8.4 MW,2018-09
>>>    2,Aberdeen Offshore Wind Farm,Vestas,57.2169301,-2.0055697,United Kingdom,8.4,164.0,108.5,V164-8.4 MW,2018-09
>>>    ...