- class foxes.models.wake_models.AxisymmetricWakeModel(foxes.models.wake_models.DistSlicedWakeModel)[source]
Abstract base class for wake models that depend on (x, r) separately.
The ability to evaluate multiple r values per x is used by the PartialAxiwake partial wakes model.
Public members¶
- calc_wakes_x_yz(algo, mdata, fdata, tdata, downwind_index, x, yz)[source]
Calculate wake deltas.
- contribute(algo, mdata, fdata, tdata, downwind_index, ...)[source]
Modifies wake deltas at target points by contributions from the specified wake source turbines.
-
AxisymmetricWakeModel(wind_superposition=
None
, ...)[source] Constructor.
- property has_vector_wind_superp
This model uses a wind vector superposition
- sub_models()[source]
List of all sub-models
-
initialize(algo, verbosity=
0
, force=False
)[source] Initializes the model.
- finalize_wake_deltas(algo, mdata, fdata, tdata, wake_deltas)[source]
Finalize the wake calculation.
- property affects_ws
Flag for wind speed wake models
- property affects_downwind
Flag for downwind or upwind effects on other turbines
- property has_uv
This model uses wind vector data
- classmethod new(wmodel_type, *args, **kwargs)[source]
Run-time wake model factory.
- property model_id
Unique id based on the model type.
- property initialized
Initialization flag.
- 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