geodata.Cutout.pv

geodata.Cutout.pv(panel: str | dict, orientation: str | dict | callable, clearsky_model: str | None = None, **params)

Convert downward-shortwave, upward-shortwave radiation flux and ambient temperature into a pv generation time-series.

Parameters:

• panel (Union[str, dict]) – Panel name known to the reatlas client or a panel config dictionary with the parameters for the electrical model in [3].

• orientation (Union[str, dict, callback]) – Panel orientation can be chosen from either ‘latitude_optimal’, a constant orientation {‘slope’: 0.0, ‘azimuth’: 0.0} or a callback function with the same signature as the callbacks generated by the geodata.pv.orientation.make_* functions.

• clearsky_model (Optional[str]) – Either the ‘simple’ or the ‘enhanced’ Reindl clearsky model. The default choice of None will choose dependending on data availability, since the ‘enhanced’ model also incorporates ambient air temperature and relative humidity.

Returns:

Time-series or capacity factors based on additional general conversion arguments.

Return type:

xr.DataArray

Note

You can also specify all of the general conversion arguments documented in the convert_cutout function.

References

[1] Soteris A. Kalogirou. Solar Energy Engineering: Processes and Systems, pages 49-117,469-516. Academic Press, 2009. ISBN 0123745012. [2] D.T. Reindl, W.A. Beckman, and J.A. Duffie. Diffuse fraction correla- tions. Solar Energy, 45(1):1 - 7, 1990. [3] Hans Georg Beyer, Gerd Heilscher and Stefan Bofinger. A Robust Model for the MPP Performance of Different Types of PV-Modules Applied for the Performance Check of Grid Connected Systems, Freiburg, June 2004. Eurosun (ISES Europe Solar Congress).