UserHtfComparison¶
Wrapper for SAM Simulation Core model: cmod_user_htf_comparison.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.
UserHtfComparison model description
UserHtfComparison
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PySAM.UserHtfComparison.default(config) → UserHtfComparison¶ Use default attributes None
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PySAM.UserHtfComparison.from_existing(data, optional config) → UserHtfComparison¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.UserHtfComparison.new() → UserHtfComparison¶
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PySAM.UserHtfComparison.wrap(ssc_data_t) → UserHtfComparison¶ 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.UserHtfComparison.UserHtfComparison¶ 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 = { 'Common': { 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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Common Group¶
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class
PySAM.UserHtfComparison.UserHtfComparison.Common¶ -
assign() → None¶ Assign attributes from dictionary
Common_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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HTF_code1¶ Fluid 1 [-]
Required: True
Type: float Type: HTF fluid code
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HTF_code2¶ Fluid 2 [-]
Required: True
Type: float Type: HTF fluid code
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fl_props1¶ User defined field fluid property data, Fluid 1 [-]
Info: 7 columns (T,Cp,dens,visc,kvisc,cond,h), at least 3 rows
Required: True
Type: sequence[sequence]
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fl_props2¶ User defined field fluid property data, Fluid 2 [-]
Info: 7 columns (T,Cp,dens,visc,kvisc,cond,h), at least 3 rows
Required: True
Type: sequence[sequence]
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