IphToLcoefcr

Calculate levelized cost of heat using fixed charge rate method for industrial process heat models

PySAM.IphToLcoefcr.default(config) → IphToLcoefcr

Load defaults for the configuration config. Available configurations are:

“DSGLIPHLCOHCalculator”

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.IphToLcoefcr.from_existing(data, optional config) → IphToLcoefcr: Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.IphToLcoefcr.new() → IphToLcoefcr

PySAM.IphToLcoefcr.wrap(ssc_data_t) → IphToLcoefcr: Load data from a PySSC object.

Warning

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

IphToLcoefcr is a wrapper for the SSC compute module cmod_iph_to_lcoefcr.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.IphToLcoefcr.IphToLcoefcr

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 = { 'IPH LCOH': { 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 = { 'IPH LCOH': { 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.

IPHLCOH Group

class PySAM.IphToLcoefcr.IphToLcoefcr.IPHLCOH

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

IPHLCOH_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

IPHLCOH_vals = { var: val, ...}

annual_electricity_consumption

Annual electricity consumption with avail derate [kWe-hr]

Required: True

Type:: float

electricity_rate

Cost of electricity used to operate pumps and trackers [$/kWe]

Required: True

Type:: float

SimpleLCOE Group

class PySAM.IphToLcoefcr.IphToLcoefcr.SimpleLCOE

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

SimpleLCOE_vals = { var: val, ...}

export() → dict: Export attributes into dictionary.

replace(dict) → None

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

SimpleLCOE_vals = { var: val, ...}

fixed_operating_cost

Annual fixed operating cost [$/kW]

INOUT: This variable is both an input and an output to the compute module.

Required: True

Type:: float