Documentation

Documentation for PlantFinanceSE

class wisdem.plant_financese.plant_finance.PlantFinance(**kwargs)

Compute LCOE for the wind plant, formulas from https://doi.org/10.1016/j.tej.2021.106931

Parameters:

• machine_rating (float) – Rating of the turbine

• tcc_per_kW (float) – Turbine capital cost

• offset_tcc_per_kW (float) – Offset to turbine capital cost

• turbine_number (int) – Number of turbines at plant

• bos_per_kW (float) – Balance of system costs of the turbine

• opex_per_kW (float) – Average annual operational expenditures of the turbine

• plant_aep_in (float) – Annual Energy Production of the wind plant

• turbine_aep (float) – Annual Energy Production of the wind turbine

• wake_loss_factor (float) – The losses in AEP due to waked conditions

• fixed_charge_rate (float) – Fixed charge rate for coe calculation

• electricity_price (float) – Electricity price

• reserve_margin_price (float) – Reserve margin price

• capacity_credit (float) – Capacity credit

• benchmark_price (float) – Benchmark price

Returns:

• plant_aep (float) – Annual Energy Production of the wind plant

• capacity_factor (float) – Capacity factor of the wind plant

• lcoe (float) – Levelized cost of energy for the wind plant

• lvoe (float) – Levelized value of energy

• value_factor (float) – Value factor

• nvoc (float) – Net value of capacity

• nvoe (float) – Net value of energy

• slcoe (float) – System LCOE

• bcr (float) – Benefit cost ratio

• cbr (float) – Cost benefit ratio

• roi (float) – Return of investment

• pm (float) – Profit margin

• plcoe (float) – Profitability adjusted LCOE

Attributes:

checking

Return True if check_partials or check_totals is executing.

linear_solver

Get the linear solver for this system.

msginfo

Our instance pathname, if available, or our class name.

nonlinear_solver

Get the nonlinear solver for this system.

under_approx

Return True if under complex step or finite difference.

Methods

abs_name_iter(iotype[, local, cont, discrete])	Iterate over absolute variable names for this System.
comm_info_iter()	Yield comm size for this system and all subsystems.
convert_from_units(name, val, units)	Convert the given value from the specified units to those of the named variable.
convert_units(name, val, units_from, units_to)	Wrap the utility convert_units and give a good error message.
dist_size_iter(io, top_comm)	Yield names and distributed ranges of all local and remote variables in this system.
get_coloring_fname()	Return the full pathname to a coloring file.
get_io_metadata([iotypes, metadata_keys, ...])	Retrieve metadata for a filtered list of variables.
get_promotions([inprom, outprom])	Return all promotions for the given promoted variable(s).
get_reports_dir()	Get the path to the directory where the report files should go.
get_source(name)	Return the source variable connected to the given named variable.
get_val(name[, units, indices, get_remote, ...])	Get an output/input/residual variable.
get_var_dup_info(name, io)	Return information about how the given variable is duplicated across MPI processes.
get_var_sizes(name, io)	Return the sizes of the given variable on all procs.
is_explicit()	Return True if this is an explicit component.
load_case(case)	Pull all input and output variables from a Case into this System.
load_model_options()	Load the relevant model options from Problem._metadata['model_options'].
local_range_iter(io)	Yield names and local ranges of all local variables in this system.
set_constraint_options(name[, ref, ref0, ...])	Set options for constraints in the model.
set_design_var_options(name[, lower, upper, ...])	Set options for design vars in the model.
set_objective_options(name[, ref, ref0, ...])	Set options for objectives in the model.
set_output_solver_options(name[, lower, ...])	Set solver output options.
set_val(name, val[, units, indices])	Set an input or output variable.
setup_partials()	Declare partials.