Partial wake calculation for axial wake models.

The basic idea is that the x-dependent part of the wake model is evaluated only once, and the radial part then for n radii that cover the target rotor discs.

The latter results are then weighted according to the overlap of radial wake circle area deltas and the target rotor disc area.

Attributes¶

n: int

The number of radial evaluation points

Public members¶

PartialAxiwake(n=6)[source]

Constructor.

__repr__()[source]

Return repr(self).

check_wmodel(wmodel, error=True)[source]

Checks the wake model type

contribute(algo, mdata, fdata, tdata, downwind_index, ...)[source]

Modifies wake deltas at target points by contributions from the specified wake source turbines.

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.

new_wake_deltas(algo, mdata, fdata, tdata, wmodel)[source]

Creates new initial wake deltas, filled with zeros.

classmethod new(pwakes_type, *args, **kwargs)[source]

Run-time partial wakes model factory.

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

property initialized

Initialization flag.

sub_models()[source]

List of all sub-models

load_data(algo, verbosity=0)[source]

Load and/or create all model data that is subject to chunking.

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

finalize(algo, verbosity=0)[source]

Finalizes the model.

get_data(variable, target, lookup='smfp', mdata=None, ...)[source]

Getter for a data entry in the model object or provided data sources