Poacalib

Wrapper for SAM Simulation Core model: cmod_poacalib.cpp

Input Consistency Warning

As described in Possible Problems, some input parameters are interdependent but the equations that enforce consistency are not available in this PySAM module. Therefore, the onus is on the PySAM user to check that interdependencies are correctly handled. The variables which may require additional logic include:

Provided for each of these inputs is a list of other inputs that are potentially interdependent.

Creating an Instance

Refer to the Initializing a Model page for details on the different ways to create an instance of a PySAM class.

Poacalib model description

Poacalib

PySAM.Poacalib.default(config) → Poacalib

Use default attributes None

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

Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.

PySAM.Poacalib.new() → Poacalib
PySAM.Poacalib.wrap(ssc_data_t) → Poacalib

Use existing PySSC data

Warning

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

Functions

class PySAM.Poacalib.Poacalib

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 = { 'POA Calibrate': { var: val, ...}, ...}

execute(int verbosity) → None

Execute simulation with verbosity level 0 (default) or 1

export() → dict

Export attributes into nested dictionary

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.

POACalibrate Group

class PySAM.Poacalib.Poacalib.POACalibrate
assign() → None

Assign attributes from dictionary

POACalibrate_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

albedo

Albedo

Constraints: MIN=0,MAX=1

Required: True

Type:float
array_az

Array Azimuth [degrees]

Options: 0=N, 90=E, 180=S

Constraints: MIN=0,MAX=360

Required: True

Type:float
array_tilt

Array tilt [degrees]

Info: 0-90

Constraints: MIN=0,MAX=90

Required: True

Type:float
beam

Beam Irradiation [W/m^2]

Constraints: LENGTH=8760

Required: True

Type:sequence
diffuse

Diffuse Irradiation [W/m^2]

Constraints: LENGTH=8760

Required: True

Type:sequence
elevation

Elevation [m]

Required: False

Type:float
latitude

Latitude [decimal degrees]

Options: N= positive

Required: True

Type:float
longitude

Longitude [decimal degrees]

Options: E= positive

Required: True

Type:float
poa

Plane of Array [W/m^2]

Constraints: LENGTH=8760

Required: True

Type:sequence
pressure

Pressure [millibars]

Required: False

Type:float
tamb

Ambient Temperature (dry bulb temperature) [°C]

Required: False

Type:float
time_zone

Time Zone

Options: -7= Denver

Constraints: MIN=-12,MAX=12

Required: True

Type:float
year

Year

Required: True

Type:float

Outputs Group

class PySAM.Poacalib.Poacalib.Outputs
assign() → None

Assign attributes from dictionary

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

pcalc

Calculated POA [W/m^2]

Type:sequence