solarforecastarbiter.datamodel.SingleAxisModelingParameters¶
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class
solarforecastarbiter.datamodel.
SingleAxisModelingParameters
(ac_capacity: float, dc_capacity: float, temperature_coefficient: float, dc_loss_factor: float, ac_loss_factor: float, axis_tilt: float, axis_azimuth: float, ground_coverage_ratio: float, backtrack: bool, max_rotation_angle: float, tracking_type: str = 'single_axis')[source]¶ A class based on PVModelingParameters that has additional parameters for single axis tracking systems.
Parameters: - axis_tilt (float) – Tilt from horizontal of the tracker axis, degrees
- axis_azimuth (float) – Azimuth angle of the tracker axis, degrees East of North
- ground_coverage_ratio (float) – Ratio of total width of modules on a tracker to the distance between tracker axes. For example, for trackers each with two modules of 1m width each, and a spacing between tracker axes of 7m, the ground coverage ratio is 0.286(=2/7).
- backtrack (bool) – Indicator of if a tracking system uses backtracking
- max_rotation_angle (float) – maximum rotation from horizontal of a single axis tracker, degrees
See also
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__init__
(ac_capacity: float, dc_capacity: float, temperature_coefficient: float, dc_loss_factor: float, ac_loss_factor: float, axis_tilt: float, axis_azimuth: float, ground_coverage_ratio: float, backtrack: bool, max_rotation_angle: float, tracking_type: str = 'single_axis') → None¶
Methods
__init__
(ac_capacity, dc_capacity, …)from_dict
(input_dict[, raise_on_extra])Construct a dataclass from the given dict, matching keys with the class fields. replace
(**kwargs)Convience wrapper for dataclasses.replace()
to create a new dataclasses from the old with the given keys replaced.to_dict
()Convert the dataclass into a dictionary suitable for uploading to the API. Attributes
tracking_type