Analyses selected turbine models and handles their call.

Attributes¶

turbine_types: list of foxes.core.TurbineType

The turbine type of each turbine

turbine_model_names: list of str

Names of all turbine models found in the farm

pre_rotor_models: foxes.core.FarmDataModelList

The turbine models with pre-rotor flag

post_rotor_models: foxes.core.FarmDataModelList

The turbine models without pre-rotor flag

pars: dict

Parameters for the turbine models, stored under their respecitve name

Public members¶

FarmController(pars={})[source]

Constructor.

sub_models()[source]

List of all sub-models

set_pars(model_name, init_pars, calc_pars, final_pars)[source]

Set parameters for a turbine model

needs_rews2()[source]

Returns flag for requiring REWS2 variable

needs_rews3()[source]

Returns flag for requiring REWS3 variable

find_turbine_types(algo)[source]

Collects the turbine types.

collect_models(algo)[source]

Analyze and gather turbine models, based on the turbines of the wind farm.

initialize(algo, verbosity=0)[source]

Initializes the model.

load_data(algo, verbosity=0)[source]

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

output_farm_vars(algo)[source]

The variables which are being modified by the model.

calculate(algo, mdata, fdata, pre_rotor, downwind_index=None)[source]

The main model calculation.

finalize(algo, verbosity=0)[source]

Finalizes the model.

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

Run-time farm controller factory.

output_coords()[source]

Gets the coordinates of all output arrays

ensure_variables(algo, mdata, fdata)[source]

Add variables to fdata, initialized with NaN

run_calculation(algo, *data, out_vars, **calc_pars)[source]

Starts the model calculation in parallel, via xarray’s apply_ufunc.

__repr__()[source]

Return repr(self).

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

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