Bend the wakes for yawed turbines, based on the Bastankhah 2016 wake model

Notes¶

Reference: “Experimental and theoretical study of wind turbine wakes in yawed conditions” Majid Bastankhah, Fernando Porté-Agel https://doi.org/10.1017/jfm.2016.595

Attributes¶

model: Bastankhah2016Model

The model for computing common data

model_pars: dict

Model parameters

YAWM: float

The yaw misalignment YAWM. If not given here it will be searched in the farm data.

base_frame: foxes.core.WakeFrame

The wake frame from which to start

Public members¶

YawedWakes(base_frame=RotorWD(), alpha=0.58, beta=0.07, ...)[source]

Constructor.

__repr__()[source]

Return repr(self).

sub_models()[source]

List of all sub-models

initialize(algo, verbosity=0, force=False)[source]

Initializes the model.

calc_order(algo, mdata, fdata)[source]

Calculates the order of turbine evaluation.

get_wake_coos(algo, mdata, fdata, tdata, downwind_index)[source]

Calculate wake coordinates of rotor points.

get_centreline_points(algo, mdata, fdata, downwind_index, x)[source]

Gets the points along the centreline for given values of x.

get_wake_modelling_data(algo, variable, downwind_index, fdata, ...)[source]

Return data that is required for computing the wake from source turbines to evaluation points.

calc_centreline_integral(algo, mdata, fdata, downwind_index, ...)[source]

Integrates variables along the centreline.

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

Run-time wake frame factory.

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

property initialized

Initialization flag.

load_data(algo, verbosity=0)[source]

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

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