DsgFluxPreprocess

Wrapper for SAM Simulation Core model: cmod_dsg_flux_preprocess.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.

DsgFluxPreprocess model description

DsgFluxPreprocess

PySAM.DsgFluxPreprocess.default(config) → DsgFluxPreprocess

Use default attributes None

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

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

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

Use existing PySSC data

Warning

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

Functions

class PySAM.DsgFluxPreprocess.DsgFluxPreprocess

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

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) → Union[None, float, dict, sequence, str]

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

Common Group

class PySAM.DsgFluxPreprocess.DsgFluxPreprocess.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, ...}

CT

Cooling type

Required: True

Type:float
P_HP_in

HP Turbine inlet pressure [bar]

Required: True

Type:float
P_HP_out

HP Turbine outlet pressure [bar]

Required: True

Type:float
P_cycle_des

Cycle power output at design [MW]

Required: True

Type:float
Q_rec_des

Receiver thermal power at des. [MW]

Required: True

Type:float
T_ITD_des

T_cond - T_db [C]

Required: True

Type:float
T_amb_des

Ambient (wb) temp at design [C]

Required: True

Type:float
T_approach

dT cold cooling water - T_wb [C]

Required: True

Type:float
T_rh_out_ref

Reheater outlet temperature [C]

Required: True

Type:float
T_sh_out_ref

Superheater outlet temperature [C]

Required: True

Type:float
b_q_loss_flux

Boiler heat loss flux [kW/m2]

Required: True

Type:float
dT_cooling_ref

dT of cooling water [C]

Required: True

Type:float
eta_cycle_des

Cycle thermal efficiency at des.

Required: True

Type:float
max_flux_b

Max allow. boiler flux [kW/m2]

Required: True

Type:float
max_flux_rh

Max allow. reheater flux [kW/m2]

Required: True

Type:float
max_flux_sh

Max allow. superheater flux [kW/m2]

Required: True

Type:float
rh_frac_ref

Mdot fraction to reheat at design

Required: True

Type:float
rh_q_loss_flux

Reheater heat loss flux [kW/m2]

Required: True

Type:float
sh_q_loss_flux

Superheater heat loss flux [kW/m2]

Required: True

Type:float

Outputs Group

class PySAM.DsgFluxPreprocess.DsgFluxPreprocess.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, ...}

f_b

Fraction of total height to boiler

Type:float
f_rh

Fraction of total height to RH

Type:float
f_sh

Fraction of total height to SH

Type:float
max_flux

Maximum flux allow. on receiver [kW/m2]

Type:float