fastga_he.models.environmental_impacts.lca_core_weighting module

class fastga_he.models.environmental_impacts.lca_core_weighting.LCACoreWeighting(**kwargs)

Bases: ExplicitComponent

We’ll use the same feature of OpenMDAO as for the LCACoreNormalization.

Hello @felixpollet, I know you are reading this. Stop stalking me and go back to work :p

Store some bound methods so we can detect runtime overrides.

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.