InvCecCg
InvCecCg
- PySAM.InvCecCg.default(config) InvCecCg
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.InvCecCg.from_existing(data, optional config) InvCecCg
Share data with an existing PySAM class. If
optional config
is a valid configuration name, load the module’s defaults for that configuration.
- PySAM.InvCecCg.wrap(ssc_data_t) InvCecCg
Load data from a PySSC object.
Warning
Do not call PySSC.data_free on the ssc_data_t provided to
wrap()
InvCecCg is a wrapper for the SSC compute module cmod_inv_cec_cg.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.InvCecCg.InvCecCg
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 = { 'Common': { var: val, ...}, ...}
- execute(int verbosity) None
Execute simulation with verbosity level 0 (default) or 1
- export() dict
Export attributes into nested dictionary
- get_data_ptr() Pointer
Get ssc_data_t pointer
- 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 = { 'Common': { var: val, ...}, ...}
- unassign(name) None
Unassign a value in any of the variable groups.
- value(name, optional value) None | float | dict | sequence | str
Get or set by name a value in any of the variable groups.
Common Group
- class PySAM.InvCecCg.InvCecCg.Common
- assign(dict) None
Assign attributes from dictionary, overwriting but not removing values.
Common_vals = { var: val, ...}
- export() dict
Export attributes into dictionary.
- replace(dict) None
Replace attributes from dictionary, unassigning values not present in input
dict
.Common_vals = { var: val, ...}
- inv_cec_cg_paco
Rated max output [W]
Required: True
- Type:
float
- inv_cec_cg_sample_power_units
Sample data units for power output [0=W,1=kW]
Constraints: INTEGER,MIN=0,MAX=1
Required: False. Automatically set to 0 if not assigned explicitly or loaded from defaults.
- Type:
float
- inv_cec_cg_test_samples
Sample data
Required: True
- Type:
sequence[sequence]
Outputs Group
- class PySAM.InvCecCg.InvCecCg.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, ...}
- Pdco
CEC generated Pdco [Wac]
- Type:
float
- Pso
CEC generated Pso [Wdc]
- Type:
float
- Vdco
CEC generated Vdco [Vdc]
- Type:
float
- c0
CEC generated c0 [1/W]
- Type:
float
- c1
CEC generated c1 [1/V]
- Type:
float
- c2
CEC generated c2 [1/V]
- Type:
float
- c3
CEC generated c3 [1/V]
- Type:
float
- inv_cec_cg_C0
C0 at Vmin, Vnom, Vmax
- Type:
sequence
- inv_cec_cg_C1
C1 at m and b
- Type:
sequence
- inv_cec_cg_C2
C1 at m and b
- Type:
sequence
- inv_cec_cg_C3
C1 at m and b
- Type:
sequence
- inv_cec_cg_Pdco
Pdco at Vmin, Vnom, Vmax
- Type:
sequence
- inv_cec_cg_Psco
Psco at Vmin, Vnom, Vmax
- Type:
sequence
- inv_cec_cg_Vdc
Vdc at Vmin, Vnom, Vmax
- Type:
sequence
- inv_cec_cg_Vdc_Vnom
Vdc - Vnom at Vmin, Vnom, Vmax
- Type:
sequence
- inv_cec_cg_Vmax
Vmax for least squares fit
- Type:
sequence[sequence]
- inv_cec_cg_Vmax_abc
Vmax a,b,c for least squares fit
- Type:
sequence
- inv_cec_cg_Vmin
Vmin for least squares fit
- Type:
sequence[sequence]
- inv_cec_cg_Vmin_abc
Vmin a,b,c for least squares fit
- Type:
sequence
- inv_cec_cg_Vnom
Vnom for least squares fit
- Type:
sequence[sequence]
- inv_cec_cg_Vnom_abc
Vnom a,b,c for least squares fit
- Type:
sequence