pvlib.modelchain.ModelChain#

class pvlib.modelchain.ModelChain(system, location, clearsky_model='ineichen', transposition_model='haydavies', solar_position_method='nrel_numpy', airmass_model='kastenyoung1989', dc_model=None, ac_model=None, aoi_model=None, spectral_model=None, temperature_model=None, dc_ohmic_model='no_loss', losses_model='no_loss', name=None)[source]#

The ModelChain class to provides a standardized, high-level interface for all of the modeling steps necessary for calculating PV power from a time series of weather inputs. The same models are applied to all pvsystem.Array objects, so each Array must contain the appropriate model parameters. For example, if dc_model='pvwatts', then each Array.module_parameters must contain 'pdc0'.

See ModelChain for examples.

Parameters:

system (PVSystem) – A PVSystem object that represents the connected set of modules, inverters, etc.
location (Location) – A Location object that represents the physical location at which to evaluate the model.
clearsky_model (str, default 'ineichen') – Passed to location.get_clearsky. Only used when DNI is not found in the weather inputs.
transposition_model (str, default 'haydavies') – Passed to system.get_irradiance.
solar_position_method (str, default 'nrel_numpy') – Passed to location.get_solarposition.
airmass_model (str, default 'kastenyoung1989') – Passed to location.get_airmass.
dc_model (str, or function, optional) – If not specified, the model will be inferred from the parameters that are common to all of system.arrays[i].module_parameters. Valid strings are ‘sapm’, ‘desoto’, ‘cec’, ‘pvsyst’, ‘pvwatts’. The ModelChain instance will be passed as the first argument to a user-defined function.
ac_model (str, or function, optional) – If not specified, the model will be inferred from the parameters that are common to all of system.inverter_parameters. Valid strings are ‘sandia’, ‘adr’, ‘pvwatts’. The ModelChain instance will be passed as the first argument to a user-defined function.
aoi_model (str, or function, optional) – If not specified, the model will be inferred from the parameters that are common to all of system.arrays[i].module_parameters. Valid strings are ‘physical’, ‘ashrae’, ‘sapm’, ‘martin_ruiz’, ‘interp’ and ‘no_loss’. The ModelChain instance will be passed as the first argument to a user-defined function.
spectral_model (str or function, optional) –
Valid strings are:
- 'sapm'
- 'first_solar'
- 'no_loss'
The ModelChain instance will be passed as the first argument to a user-defined function. If not specified, 'no_loss' is assumed.
temperature_model (str or function, optional) – Valid strings are: ‘sapm’, ‘pvsyst’, ‘faiman’, ‘fuentes’, ‘noct_sam’. The ModelChain instance will be passed as the first argument to a user-defined function.
dc_ohmic_model (str or function, default 'no_loss') – Valid strings are ‘dc_ohms_from_percent’, ‘no_loss’. The ModelChain instance will be passed as the first argument to a user-defined function.
losses_model (str or function, default 'no_loss') – Valid strings are ‘pvwatts’, ‘no_loss’. The ModelChain instance will be passed as the first argument to a user-defined function.
name (str, optional) – Name of ModelChain instance.

Methods

`__init__`(system, location[, clearsky_model, ...])
`adr_inverter`()
`ashrae_aoi_loss`()
`cec`()
`complete_irradiance`(weather)	Determine the missing irradiation columns.
`dc_ohms_from_percent`()	Calculate time series of ohmic losses and apply those to the mpp power output of the dc_model based on the pvsyst equivalent resistance method.
`desoto`()
`effective_irradiance_model`()
`faiman_temp`()
`first_solar_spectral_loss`()
`fuentes_temp`()
`infer_ac_model`()	Infer AC power model from system attributes.
`infer_aoi_model`()
`infer_dc_model`()	Infer DC power model from Array module parameters.
`infer_losses_model`()
`infer_temperature_model`()	Infer temperature model from system attributes.
`interp_aoi_loss`()
`martin_ruiz_aoi_loss`()
`no_aoi_loss`()
`no_dc_ohmic_loss`()
`no_extra_losses`()
`no_spectral_loss`()
`noct_sam_temp`()
`physical_aoi_loss`()
`prepare_inputs`(weather)	Prepare the solar position, irradiance, and weather inputs to the model, starting with GHI, DNI and DHI.
`prepare_inputs_from_poa`(data)	Prepare the solar position, irradiance and weather inputs to the model, starting with plane-of-array irradiance.
`pvsyst`()
`pvsyst_temp`()
`pvwatts_dc`()	Calculate DC power using the PVWatts model.
`pvwatts_inverter`()
`pvwatts_losses`()
`run_model`(weather)	Run the model chain starting with broadband global, diffuse and/or direct irradiance.
`run_model_from_effective_irradiance`(data)	Run the model starting with effective irradiance in the plane of array.
`run_model_from_poa`(data)	Run the model starting with broadband irradiance in the plane of array.
`sandia_inverter`()
`sapm`()
`sapm_aoi_loss`()
`sapm_spectral_loss`()
`sapm_temp`()
`with_pvwatts`(system, location[, ...])	ModelChain that follows the PVWatts methods.
`with_sapm`(system, location[, ...])	ModelChain that follows the Sandia Array Performance Model (SAPM) methods.