- class foxes.models.wake_models.induction.Rathmann(foxes.core.TurbineInductionModel)[source]
The Rathmann induction wake model
The individual wake effects are superposed linearly, without invoking a wake superposition model.
Notes¶
Reference: Forsting, Alexander R. Meyer, et al. “On the accuracy of predicting wind-farm blockage.” Renewable Energy (2023). https://www.sciencedirect.com/science/article/pii/S0960148123007620
Attributes¶
- pre_rotor_only: bool
Calculate only the pre-rotor region
- induction: foxes.core.AxialInductionModel or str
The induction model
Public members¶
-
Rathmann(superposition=
'ws_linear'
, induction='Madsen'
, ...)[source] Constructor.
- sub_models()[source]
List of all sub-models
-
initialize(algo, verbosity=
0
, force=False
)[source] Initializes the model.
- contribute(algo, mdata, fdata, tdata, downwind_index, ...)[source]
Modifies wake deltas at target points by contributions from the specified wake source turbines.
- finalize_wake_deltas(algo, mdata, fdata, amb_results, wake_deltas)[source]
Finalize the wake calculation.
- property affects_downwind
Flag for downwind or upwind effects on other turbines
- classmethod new(induction_type, *args, **kwargs)[source]
Run-time turbine induction 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