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')

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

PVModelingParameters

Methods

from_dict(dict_[, raise_on_extra])	Construct a dataclass from the given dict, matching keys with the class fields.
to_dict()	Convert the dataclass into a dictionary suitable for uploading to the API.

__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(dict_[, raise_on_extra])	Construct a dataclass from the given dict, matching keys with the class fields.
to_dict()	Convert the dataclass into a dictionary suitable for uploading to the API.

Attributes

tracking_type