pvlib.modelchain.ModelChainResult#

class pvlib.modelchain.ModelChainResult(_singleton_tuples: bool = False, solar_position: Union[pandas.core.frame.DataFrame, NoneType] = None, airmass: Union[pandas.core.frame.DataFrame, NoneType] = None, ac: Union[pandas.core.series.Series, NoneType] = None, tracking: Union[pandas.core.frame.DataFrame, NoneType] = None, losses: Union[pandas.core.series.Series, float, NoneType] = None, total_irrad: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, ...], NoneType] = None, aoi: Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], NoneType] = None, aoi_modifier: Union[pandas.core.series.Series, float, Tuple[Union[pandas.core.series.Series, float], ...], NoneType] = None, spectral_modifier: Union[pandas.core.series.Series, float, Tuple[Union[pandas.core.series.Series, float], ...], NoneType] = None, cell_temperature: Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], NoneType] = None, effective_irradiance: Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], NoneType] = None, dc: Union[pandas.core.series.Series, pandas.core.frame.DataFrame, Tuple[Union[pandas.core.series.Series, pandas.core.frame.DataFrame], ...], NoneType] = None, diode_params: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, ...], NoneType] = None, dc_ohmic_losses: Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], NoneType] = None, weather: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, ...], NoneType] = None, times: Union[pandas.core.indexes.datetimes.DatetimeIndex, NoneType] = None, albedo: Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], NoneType] = None)[source]#

Methods

__init__([_singleton_tuples, ...])

Attributes

`ac`	AC power from the PV system, in a Series [W]
`airmass`	Air mass in a DataFrame containing columns `'airmass_relative'`, `'airmass_absolute'` (unitless); see `get_airmass()` for details.
`albedo`	Series (or tuple of Series, one for each array) containing albedo.
`aoi`	Series (or tuple of Series, one for each array) containing angle of incidence (degrees); see `aoi()` for details.
`aoi_modifier`	Series (or tuple of Series, one for each array) containing angle of incidence modifier (unitless) calculated by `ModelChain.aoi_model`, which reduces direct irradiance for reflections; see `get_iam()` for details.
`cell_temperature`	Series (or tuple of Series, one for each array) containing cell temperature (C).
`dc`	Series or DataFrame (or tuple of Series or DataFrame, one for each array) containing DC power (W) for each array, calculated by `ModelChain.dc_model`.
`dc_ohmic_losses`	Series (or tuple of Series, one for each array) containing DC ohmic loss (W) calculated by `ModelChain.dc_ohmic_model`.
`diode_params`	DataFrame (or tuple of DataFrame, one for each array) containing diode equation parameters (columns `'I_L'`, `'I_o'`, `'R_s'`, `'R_sh'`, `'nNsVth'`, present when ModelChain.dc_model is a single diode model; see `singlediode()` for details.
`effective_irradiance`	Series (or tuple of Series, one for each array) containing effective irradiance (W/m2) which is total plane-of-array irradiance adjusted for reflections and spectral content.
`losses`	Series containing DC loss as a fraction of total DC power, as calculated by `ModelChain.losses_model`.
`solar_position`	Solar position in a DataFrame containing columns `'apparent_zenith'`, `'zenith'`, `'apparent_elevation'`, `'elevation'`, `'azimuth'` (all in degrees), with possibly other columns depending on the solar position method; see `get_solarposition()` for details.
`spectral_modifier`	Series (or tuple of Series, one for each array) containing spectral modifier (unitless) calculated by `ModelChain.spectral_model`, which adjusts broadband plane-of-array irradiance for spectral content.
`times`	DatetimeIndex containing a copy of the index of the input weather data.
`total_irrad`	DataFrame (or tuple of DataFrame, one for each array) containing columns `'poa_global'`, `'poa_direct'` `'poa_diffuse'`, `poa_sky_diffuse'`, `'poa_ground_diffuse'` (W/m2); see `get_total_irradiance()` for details.
`tracking`	Orientation of modules on a single axis tracker, in a DataFrame with columns `'surface_tilt'`, `'surface_azimuth'`, `'aoi'`; see `singleaxis()` for details.
`weather`	DataFrame (or tuple of DataFrame, one for each array) contains a copy of the input weather data.

pvlib.modelchain.ModelChain.with_sapm

pvlib.modelchain.ModelChainResult.__init__