Add gallery example for OEDI system 9068

[kandersolar]

• A step towards Gallery examples of ModelChains for the DOE Solar Data Bounty Prize systems #1952
• I am familiar with the contributing guidelines
• [ ] Tests added
• [ ] Updates entries in docs/sphinx/source/reference for API changes.
• Adds description and name entries in the appropriate "what's new" file in docs/sphinx/source/whatsnew for all changes. Includes link to the GitHub Issue with :issue:`num` or this Pull Request with :pull:`num`. Includes contributor name and/or GitHub username (link with :ghuser:`user`).
• [ ] New code is fully documented. Includes numpydoc compliant docstrings, examples, and comments where necessary.
• Pull request is nearly complete and ready for detailed review.
• Maintainer: Appropriate GitHub Labels (including remote-data) and Milestone are assigned to the Pull Request and linked Issue.

[AdamRJensen]

I would expose the other loss parameters:

    # Other loss types are left at their default amounts.
    losses_parameters = dict(shading=0, availability=0)

Otherwise things look good to me.

I have my doubts if applying a transient operation on the module temperature makes this any more accurate when you use satellite data?

Maybe add a note about why you're not using the measured irradiance (I think that would be useful for people)

A shame that this great data initiative has so poor metadata - a bit ironic really.

[kandersolar]

I have my doubts if applying a transient operation on the module temperature makes this any more accurate when you use satellite data?

5-minute PSM3 data is very "spiky", so using a transient model at least makes the modeled Tcell more realistic/smooth, if not also more accurate. IMHO it's reasonable to include by default unless we know for some reason that it makes results worse. I think SAM applies it by default for any dataset with time step below 20 minutes.

Maybe add a note about why you're not using the measured irradiance (I think that would be useful for people)

It does say this before fetching the weather dataset:

The system does have measured plane-of-array irradiance data, but the measurements suffer from row-to-row shading and tracker stalls. In this example, we will use weather data taken from the NSRDB PSM3 for the year 2019.

[adriesse]

The system does have measured plane-of-array irradiance data, but the measurements suffer from row-to-row shading and tracker stalls. In this example, we will use weather data taken from the NSRDB PSM3 for the year 2019.

It could actually be instructive to use that measured data in the example anyway.