- class foxes.models.turbine_types.WsTI2PCtFromTwo(foxes.core.TurbineType)[source]
Calculate turbulent intensity dependent power and ct values, as given by two individual files.
The structure of each file is: ws,0.05,0.06,0.07,…
The first column represents wind speed in m/s and the subsequent columns are TI values (not neccessarily in order).
Attributes¶
- source_P: str or pandas.DataFrame
The file path for the power curve, static name, or data
- source_ct: str or pandas.DataFrame
The file path for the ct curve, static name, or data
- WSCT: str
The wind speed variable for ct lookup
- WSP: str
The wind speed variable for power lookup
- rpars_P: dict, optional
Parameters for pandas power file reading
- rpars_ct: dict, optional
Parameters for pandas ct file reading
- ipars_P: dict, optional
Parameters for scipy.interpolate.interpn()
- ipars_ct: dict, optional
Parameters for scipy.interpolate.interpn()
- rho: float
The air densitiy for which the data is valid or None for no correction
Public members¶
-
WsTI2PCtFromTwo(data_source_P, data_source_ct, rho=
None
, ...)[source] Constructor.
- output_farm_vars(algo)[source]
The variables which are being modified by the model.
- run_calculation(algo, *data, out_vars, **calc_pars)[source]
Starts the model calculation in parallel, via xarray’s apply_ufunc.
- property model_id
Unique id based on the model type.
- property initialized
Initialization flag.
- sub_models()[source]
List of all sub-models
-
initialize(algo, verbosity=
0
, force=False
)[source] Initializes the model.
-
get_data(variable, target, lookup=
'smfp'
, mdata=None
, ...)[source] Getter for a data entry in the model object or provided data sources
- data_to_store(name, algo, data)[source]
Adds data from mdata to the local store, intended for iterative runs.
-
from_data_or_store(name, algo, data, ret_dims=
False
, safe=False
)[source] Get data from mdata or local store