WaveFileReader

Load wave resource data from file. Data can be in either probability distribution format or 3-hour time series arrays

PySAM.WaveFileReader.default(config) → WaveFileReader

Load defaults for the configuration config. Available configurations are:

• “MEwaveBatterySingleOwner”

• “MEwaveLCOECalculator”

• “MEwaveNone”

• “MEwaveSingleOwner”

Note

Some inputs do not have default values and may be assigned a value from the variable’s Required attribute. See variable attribute descriptions below.

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

Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.WaveFileReader.new() → WaveFileReader

PySAM.WaveFileReader.wrap(ssc_data_t) → WaveFileReader

Load data from a PySSC object.

Warning

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

WaveFileReader is a wrapper for the SSC compute module cmod_wave_file_reader.cpp

Interdependent Variables

The variables listed below are interdependent with other variables. If you change the value of one of these variables, you may need to change values of other variables. The SAM user interface manages these interdependent variables, but in PySAM, it is up to you change the value of all interdependent variables so they are consistent. See Interdependent Variables for examples and details.

• None

Functions

class PySAM.WaveFileReader.WaveFileReader

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 = { 'Weather Reader': { var: val, ...}, ...}

execute(int verbosity) → None

Execute simulation with verbosity level 0 (default) or 1

export() → dict

Export attributes into nested dictionary

get_data_ptr() → Pointer

Get ssc_data_t pointer

replace(dict) → None

Replace attributes from nested dictionary, except for Outputs. Unassigns all values in each Group then assigns from the input dict.

nested_dict = { 'Weather Reader': { var: val, ...}, ...}

unassign(name) → None

Unassign a value in any of the variable groups.

value(name, optional value) → None | float | dict | sequence | str

Get or set by name a value in any of the variable groups.

WeatherReader Group

class PySAM.WaveFileReader.WaveFileReader.WeatherReader

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

WeatherReader_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

WeatherReader_vals = { var: val, ...}

wave_resource_filename

File path with Wave Height x Period Distribution as 2-D PDF

Constraints: LOCAL_FILE

Required: Required if wave_resource_model_choice=0

Type:

str

wave_resource_filename_ts

File path with 3-hour Wave Height and Period data as Time Series array

Constraints: LOCAL_FILE

Required: Required if wave_resource_model_choice=1

Type:

str

wave_resource_model_choice

Joint PDF or 3-hour wave resource data [0/1]

Constraints: INTEGER

Required: False. Automatically set to 1 if not assigned explicitly or loaded from defaults.

Type:

float

Outputs Group

class PySAM.WaveFileReader.WaveFileReader.Outputs

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

Outputs_vals = { var: val, ...}

average_power_flux

Average power flux [kW/m]

Type:

float

bathymetry

Bathymetry

Type:

str

city

City

Type:

str

country

Country

Type:

str

data_source

Data source

Type:

str

day

Day [dy]

Type:

sequence

distance_to_shore_file

Distance to shore [m]

Type:

float

energy_period

Wave period time series data [s]

Type:

sequence

hour

Hour [hr]

Type:

sequence

lat

Latitude [deg]

Type:

float

location_id

Location ID

Type:

float

location_name

Location

Type:

str

lon

Longitude [deg]

Type:

float

minute

Minute [min]

Type:

sequence

month

Month [mn]

Type:

sequence

name

Name

Type:

str

nearby_buoy_number

Nearby buoy number

Type:

str

notes

Notes

Type:

str

number_hours

Number of hours in wave time series

Type:

float

number_records

Number of records in wave time series

Type:

float

sea_bed

Sea bed

Type:

str

significant_wave_height

Wave height time series data [m]

Type:

sequence

state

State

Type:

str

tz

Time zone

Type:

float

water_depth_file

Water depth [m]

Type:

float

wave_resource_matrix

Frequency distribution of resource [m/s]

Type:

sequence[sequence]

year

Year [yr]

Type:

sequence