MhkTidal¶
Wrapper for SAM Simulation Core model: cmod_mhk_tidal.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.
MhkTidal model description
Tidal marine hydrokinetic system
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PySAM.MhkTidal.default(config) → MhkTidal¶ Use financial config-specific default attributes config options:
- “MEtidalLCOECalculator”
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PySAM.MhkTidal.from_existing(data, optional config) → MhkTidal¶ Share underlying data with an existing PySAM class. If config provided, default attributes are loaded otherwise.
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PySAM.MhkTidal.new() → MhkTidal¶
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PySAM.MhkTidal.wrap(ssc_data_t) → MhkTidal¶ 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.MhkTidal.MhkTidal¶ 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 = { 'MHKTidal': { 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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MHKTidal Group¶
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class
PySAM.MhkTidal.MhkTidal.MHKTidal¶ -
assign() → None¶ Assign attributes from dictionary
MHKTidal_vals = { var: val, ...}
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export() → dict¶ Export attributes into dictionary
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loss_additional¶ Additional losses [%]
Required: True
Type: float
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loss_array_spacing¶ Array spacing loss [%]
Required: True
Type: float
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loss_downtime¶ Array/WEC downtime loss [%]
Required: True
Type: float
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loss_resource_overprediction¶ Resource overprediction loss [%]
Required: True
Type: float
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loss_transmission¶ Transmission losses [%]
Required: True
Type: float
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number_devices¶ Number of tidal devices in the system
Constraints: INTEGER
Required: If not provided, assumed to be 1
- This variable may need to be updated if the values of the following have changed:
- tidal_power_curve
Type: float
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tidal_power_curve¶ Power curve of tidal energy device as function of stream speeds [kW]
Required: True
- Changes to this variable may require updating the values of the following:
- number_devices
Type: sequence[sequence]
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tidal_resource¶ Frequency distribution of resource as a function of stream speeds
Required: True
Type: sequence[sequence]
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Outputs Group¶
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class
PySAM.MhkTidal.MhkTidal.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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annual_cumulative_energy_distribution¶ Cumulative annual energy production of array as function of speed [kWh]
Type: sequence
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annual_energy¶ Annual energy production of array [kWh]
Type: float
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annual_energy_distribution¶ Annual energy production of array as function of speed [kWh]
Type: sequence
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capacity_factor¶ Capacity Factor of array [%]
Type: float
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device_average_power¶ Average power production of a single device [kW]
Type: float
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device_rated_capacity¶ Rated capacity of device [kW]
Type: float
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