UiTesCalcs¶
Wrapper for SAM Simulation Core model: cmod_ui_tes_calcs.cpp
Creating an Instance¶
There are three methods to create a new instance of a PySAM module. Using default populates the newclass’ attributes with default values specific to a config. Each technology-financialconfiguration corresponds to a SAM GUI configuration. Using new creates an instance with empty attributes. The wrap function allows compatibility with PySSC, for details, refer to PySSC.
UiTesCalcs model description
UiTesCalcs
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PySAM.UiTesCalcs.default(config) → UiTesCalcs¶ Use financial config-specific default attributes
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PySAM.UiTesCalcs.from_existing(data, optional config) → UiTesCalcs¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.UiTesCalcs.new() → UiTesCalcs¶
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PySAM.UiTesCalcs.wrap(ssc_data_t) → UiTesCalcs¶ 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.UiTesCalcs.UiTesCalcs¶ 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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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.UiTesCalcs.UiTesCalcs.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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P_ref¶ Power cycle output at design [MWe]
Required: True
Type: float
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T_htf_cold_des¶ Cold HTF temp (out of TES HX, if applicable) [C]
Required: True
Type: float
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T_htf_hot_des¶ Hot HTF temp (into TES HX, if applicable) [C]
Required: True
Type: float
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design_eff¶ Power cycle thermal efficiency
Required: True
Type: float
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field_fl_props¶ User defined tes storage fluid prop data
Info: 7 columns (T,Cp,dens,visc,kvisc,cond,h), at least 3 rows
Required: True
Type: sequence[sequence]
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h_tank¶ Total height of tank (HTF when tank is full [m]
Required: True
Type: float
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h_tank_min¶ Min. allowable HTF height in storage tank [m]
Required: True
Type: float
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rec_htf¶ TES storage fluid code
Required: True
Type: float
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tank_pairs¶ Number of equivalent tank pairs
Required: True
Type: float
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tshours¶ Hours of TES relative to q_dot_pb_des [hr]
Required: True
Type: float
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u_tank¶ Loss coefficient from the tank [W/m2-K]
Required: True
Type: float
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Outputs Group¶
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class
PySAM.UiTesCalcs.UiTesCalcs.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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csp_pt_tes_htf_density¶ HTF dens [kg/m^3]
Type: float
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csp_pt_tes_tank_diameter¶ Single tank diameter [m]
Type: float
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q_dot_tes_est¶ Estimated tank heat loss to env. [MWt]
Type: float
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q_tes¶ TES thermal capacity at design [MWt-hr]
Type: float
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tes_avail_vol¶ Available single temp storage volume [m^3]
Type: float
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vol_tank¶ Total single temp storage volume [m^3]
Type: float
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