Annualoutput

Annualoutput

PySAM.Annualoutput.default(config) → Annualoutput

Load defaults for the configuration config. Available configurations are:

• None

Note

Some inputs do not have default values and may be assigned a value from the variable’s Required attribute. See variable attribute descriptions below.

PySAM.Annualoutput.from_existing(data, optional config) → Annualoutput

Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.Annualoutput.new() → Annualoutput

PySAM.Annualoutput.wrap(ssc_data_t) → Annualoutput

Load data from a PySSC object.

Warning

Do not call PySSC.data_free on the ssc_data_t provided to wrap()

Annualoutput is a wrapper for the SSC compute module cmod_annualoutput.cpp

Interdependent Variables

The variables listed below are interdependent with other variables. If you change the value of one of these variables, you may need to change values of other variables. The SAM user interface manages these interdependent variables, but in PySAM, it is up to you change the value of all interdependent variables so they are consistent. See Interdependent Variables for examples and details.

• None

Functions

class PySAM.Annualoutput.Annualoutput

This class contains all the variable information for running a simulation. Variables are grouped together in the subclasses as properties. If property assignments are the wrong type, an error is thrown.

assign(dict) → None

Assign attributes from nested dictionary, except for Outputs

nested_dict = { 'AnnualOutput': { var: val, ...}, ...}

execute(int verbosity) → None

Execute simulation with verbosity level 0 (default) or 1

export() → dict

Export attributes into nested dictionary

replace(dict) → None

Replace attributes from nested dictionary, except for Outputs. Unassigns all values in each Group then assigns from the input dict.

nested_dict = { 'AnnualOutput': { var: val, ...}, ...}

unassign(name) → None

Unassign a value in any of the variable groups.

value(name, optional value) → Union[None, float, dict, sequence, str]

Get or set by name a value in any of the variable groups.

AnnualOutput Group

class PySAM.Annualoutput.Annualoutput.AnnualOutput

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

AnnualOutput_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

AnnualOutput_vals = { var: val, ...}

analysis_period

Analyis period [years]

Constraints: INTEGER,MIN=0,MAX=50

Required: False. Automatically set to 30 if not assigned explicitly or loaded from defaults.

Type:float

energy_availability

Annual energy availability [%]

Required: True

Type:sequence

energy_curtailment

First year energy curtailment

Info: (0..1)

Required: True

Type:sequence[sequence]

energy_degradation

Annual energy degradation [%]

Required: True

Type:sequence

system_hourly_energy

Hourly energy produced by the system [kW]

Required: True

Type:sequence

system_use_lifetime_output

Lifetime hourly system outputs [0/1]

Options: 0=hourly first year,1=hourly lifetime

Constraints: INTEGER,MIN=0

Required: True

Type:float

Outputs Group

class PySAM.Annualoutput.Annualoutput.Outputs

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

Outputs_vals = { var: val, ...}

annual_availability

Annual availability

Type:sequence

annual_degradation

Annual degradation

Type:sequence

annual_energy

Annual energy [kWh]

Type:sequence

hourly_energy

Hourly energy [kWh]

Type:sequence

monthly_energy

Monthly energy [kWh]

Type:sequence