Product supersposition of wind deficit results

This is based on the idea that the dimensionless wind deficit should be rescaled with the wake corrected wind field, rather than the rotor equivalent wind speed.

Source: https://arxiv.org/pdf/2010.03873.pdf

Equation (8)

Attributes¶

lim_low: float

Lower limit of the final waked wind speed

lim_high: float

Upper limit of the final waked wind speed

Public members¶

WSProduct(lim_low=None, lim_high=None)[source]

Constructor.

__repr__()[source]

Return repr(self).

input_farm_vars(algo)[source]

The variables which are needed for running the model.

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

Add a wake delta to previous wake deltas, at rotor points.

calc_final_wake_delta(algo, mdata, fdata, variable, ...)[source]

Calculate the final wake delta after adding all contributions.

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.

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

data_to_store(name, algo, data)[source]

Adds data from mdata to the local store, intended for iterative runs.

from_data_or_store(name, algo, data, ret_dims=False, safe=False)[source]

Get data from mdata or local store