pywasp.net_aep

pywasp.net_aep(loss_table, ds_potential_aep)[source]

Calculates the Net Annual Energy Production (AEP) by applying the losses from a loss table to the potential AEP values provided in the dataset.

Parameters:

  • loss_table (DataFrame) – The DataFrame containing the losses. For an example of the expected structure, see the docstring of the get_loss_table function.

  • ds_potential_aep (xarray.Dataset) – The dataset containing the potential_aep and potential_aep_sector data variables.

Returns:

xarray.Dataset – The updated dataset including the net_aep and net_aep_sector values.

Raises:

ValueError – If potential_aep and potential_aep_sector are not in the ds_potential_aep dataset.

Notes

  • The function first validates the loss table. See validate_loss_table function.

  • The function will be executed even if one out of the two potential_aep variables is missing.

I.e, if potential_aep_sector is missing the function will still calculate and append the net_aep and vice versa.

Examples

>>> loss_table = get_loss_table('dtu_default')
>>> ds_net_aep = net_aep(loss_table, ds_potential_aep)