Sco2DesignCycle

Wrapper for SAM Simulation Core model: cmod_sco2_design_cycle.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.

Sco2DesignCycle model description

Supercritical CO2 Power Cycle Design

PySAM.Sco2DesignCycle.default(config) → Sco2DesignCycle

Use default attributes None

PySAM.Sco2DesignCycle.from_existing(data, optional config) → Sco2DesignCycle

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

PySAM.Sco2DesignCycle.new() → Sco2DesignCycle
PySAM.Sco2DesignCycle.wrap(ssc_data_t) → Sco2DesignCycle

Use existing PySSC data

Warning

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

Functions

class PySAM.Sco2DesignCycle.Sco2DesignCycle

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 = { 'sCO2 power cycle': { 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.

SCO2PowerCycle Group

class PySAM.Sco2DesignCycle.Sco2DesignCycle.SCO2PowerCycle
assign() → None

Assign attributes from dictionary

SCO2PowerCycle_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

I_N_t_des

Design turbine speed, negative links to comp. [rpm]

Required: True

Type:float
I_P_high_limit

High pressure limit in cycle [MPa]

Required: True

Type:float
I_T_mc_in_des

Main compressor inlet temp at design [C]

Required: True

Type:float
I_T_t_in_des

Turbine inlet temp at design [C]

Required: True

Type:float
I_UA_total_des

Total UA allocatable to recuperators [kW/K]

Required: True

Type:float
I_W_dot_net_des

Design cycle power output [MW]

Required: True

Type:float
I_eta_mc

Design main compressor isentropic efficiency [-]

Required: True

Type:float
I_eta_rc

Design re-compressor isentropic efficiency [-]

Required: True

Type:float
I_eta_t

Design turbine isentropic efficiency [-]

Required: True

Type:float
I_opt_tol

Convergence tolerance - optimization calcs [-]

Required: True

Type:float
I_tol

Convergence tolerance for performance calcs [-]

Required: True

Type:float

Outputs Group

class PySAM.Sco2DesignCycle.Sco2DesignCycle.Outputs
assign() → None

Assign attributes from dictionary

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary

O_LT_frac_des

Optimized design point UA distribution [-]

Type:float
O_N_mc_des

Design point compressor shaft speed [rpm]

Type:float
O_PR_mc_des

Optimized Pressure Ratio across main compressor

Type:float
O_P_mc_out_des

Optimized design point high side pressure [MPa]

Type:float
O_T_array_des

Cycle temp state points at design [K]

Type:sequence
O_eta_thermal_des

Design cycle thermal efficiency [-]

Type:float
O_m_dot_PHX

Mass flow rate through primary HX [kg/s]

Type:float
O_recomp_frac_des

Optimized recompression fraction [-]

Type:float