Om refactor: classify cluster

[elenya-grant]

Om refactor: classify cluster

Added in components to classify the cluster design specs. This includes min and max production and consumption of the cluster. This introduces two main components:

• CellClassification in electrolyzer/components/classifiers/cell_classifier.py: this uses the current bounds (I_min, I_max) and the current reference points (I_ref_points) and the other outputs from the reference cell in the cluster "converter" group to get the min/max values of the BOL design at the cell level.
• CombineSerialComponents in electrolyzer/connectors/series_scalar.py: scales up multiple variable flows from from the cell level to the stack level or the stack level to the cluster level. 4 of these components are included in the classifier group.

These components are added to the cluster group as the classifier group.

Other additions

Also added in the ability to add a recorder to the problem. This is a quality-of-life improvement that will be nice for future dev. Added the method create_recorder into BERT (this will eventually get moved to a PoseOptimization class). This required adding in a function I wrote for H2I, make_unique_case_name, which was added to file_utils.py.

TODO:

• add in subtests to the example to ensure these components are working as expected.

Related issue, if one exists

Does not fully resolve but is a step towards resolving Issue #97

Impacted areas of the software

• create_cluster_classification_component() is the new method in electrolyzer/core/bert.py that creates the classifier group.

Additional supporting information

Test results, if applicable