fastga_he.models.environmental_impacts.lca_equivalent_flight_per_year module

class fastga_he.models.environmental_impacts.lca_equivalent_flight_per_year.LCAEquivalentFlightsPerYear(**kwargs)

Bases: ExplicitComponent

The models have been implemented in a way were the input are the number of year the aircraft is expected to operate and the number of flights per year. In practice data rather give the time in hours an airframe is expected to live (airframe hours) and the average number of flight hours in a year.

To avoid complicate rework of existing component, we’ll simply compute an equivalent of the former based on the latter. The default value will be the average for a 1 engine turboprop AC as computed based on the data of the GA survey of the FAA.

Store some bound methods so we can detect runtime overrides.

initialize()

Perform any one-time initialization run at instantiation.

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

An inherited component may choose to either override this function or to define a compute_primal function.

Parameters:

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.

• discrete_outputs (dict-like or None) – If not None, dict-like object containing discrete output values.

compute_partials(inputs, partials, discrete_inputs=None)

Compute sub-jacobian parts. The model is assumed to be in an unscaled state.

Parameters:

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• partials (Jacobian) – Sub-jac components written to partials[output_name, input_name]..

• discrete_inputs (dict or None) – If not None, dict containing discrete input values.