- class foxes.models.partial_wakes.PartialSegregated(foxes.core.PartialWakesModel)[source]
Add the averaged wake effects to the separately averaged ambient rotor results
Attributes¶
- rotor_model: foxes.core.RotorModel
The rotor model, default is the one from the algorithm
- grotor: foxes.models.rotor_models.GridRotor
The grid rotor model
Public members¶
- PartialSegregated(rotor_model)[source]
Constructor.
- sub_models()[source]
List of all sub-models
- get_wake_points(algo, mdata, fdata)[source]
Get the wake calculation points, and their weights.
- finalize_wakes(algo, mdata, fdata, tdata, amb_res, ...)[source]
Updates the wake_deltas at the selected target downwind index.
-
check_wmodel(wmodel, error=
True
)[source] Checks the wake model type
- new_wake_deltas(algo, mdata, fdata, tdata, wmodel)[source]
Creates new initial wake deltas, filled with zeros.
- contribute(algo, mdata, fdata, tdata, downwind_index, ...)[source]
Modifies wake deltas at target points by contributions from the specified wake source turbines.
- classmethod new(pwakes_type, *args, **kwargs)[source]
Run-time partial wakes model factory.
- property model_id
Unique id based on the model type.
- property initialized
Initialization flag.
-
initialize(algo, verbosity=
0
, force=False
)[source] Initializes the model.
- property running
Flag for currently running models
-
set_running(algo, data_stash, sel=
None
, isel=None
, verbosity=0
)[source] Sets this model status to running, and moves all large data to stash.
-
unset_running(algo, data_stash, sel=
None
, isel=None
, verbosity=0
)[source] Sets this model status to not running, recovering large data from stash
-
get_data(variable, target, lookup=
'smfp'
, mdata=None
, ...)[source] Getter for a data entry in the model object or provided data sources