UiUdpcChecks¶
Wrapper for SAM Simulation Core model: cmod_ui_udpc_checks.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.
UiUdpcChecks model description
UiUdpcChecks
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PySAM.UiUdpcChecks.
default
(config) → UiUdpcChecks¶ Use default attributes None
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PySAM.UiUdpcChecks.
from_existing
(data, optional config) → UiUdpcChecks¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.UiUdpcChecks.
new
() → UiUdpcChecks¶
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PySAM.UiUdpcChecks.
wrap
(ssc_data_t) → UiUdpcChecks¶ Use existing PySSC data
Warning
Do not call PySSC.data_free on the ssc_data_t provided to
wrap
Functions¶
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class
PySAM.UiUdpcChecks.
UiUdpcChecks
¶ 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.
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assign
(dict) → None¶ Assign attributes from nested dictionary, except for Outputs
nested_dict = { 'User Defined Power Cycle': { var: val, ...}, ...}
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execute
(int verbosity) → None¶ Execute simulation with verbosity level 0 (default) or 1
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export
() → dict¶ Export attributes into nested dictionary
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unassign
(name) → None¶ Unassign a value in any of the variable groups.
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value
(name, optional value) → Union[None, float, dict, sequence, str]¶ Get or set by name a value in any of the variable groups.
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UserDefinedPowerCycle Group¶
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class
PySAM.UiUdpcChecks.UiUdpcChecks.
UserDefinedPowerCycle
¶ -
assign
() → None¶ Assign attributes from dictionary
UserDefinedPowerCycle_vals = { var: val, ...}
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export
() → dict¶ Export attributes into dictionary
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ud_ind_od
¶ Off design user-defined power cycle performance as function of T_htf, m_dot_htf [ND], and T_amb
Required: If not provided, assumed to be [[0]]
Type: sequence[sequence]
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Outputs Group¶
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class
PySAM.UiUdpcChecks.UiUdpcChecks.
Outputs
¶ -
assign
() → None¶ Assign attributes from dictionary
Outputs_vals = { var: val, ...}
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export
() → dict¶ Export attributes into dictionary
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T_amb_des
¶ Design ambient temperature [C]
Type: float
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T_amb_high
¶ High ambient temperature [C]
Type: float
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T_amb_low
¶ Low ambient temperature [C]
Type: float
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T_htf_des
¶ HTF design temperature [C]
Type: float
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T_htf_high
¶ HTF high temperature [C]
Type: float
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T_htf_low
¶ HTF low temperature [C]
Type: float
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m_dot_des
¶ Design ambient temperature [C]
Type: float
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m_dot_high
¶ High ambient temperature [C]
Type: float
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m_dot_low
¶ Low ambient temperature [C]
Type: float
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n_T_amb_pars
¶ Number of ambient temperature parametrics [-]
Type: float
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n_T_htf_pars
¶ Number of HTF parametrics [-]
Type: float
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n_m_dot_pars
¶ Number of HTF mass flow parametrics [-]
Type: float
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