solarforecastarbiter.datamodel.SingleAxisModelingParameters

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
__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