VCE Renewable Generation Dataset Integration

[aesharpe]

Description

This epic coordinates the integration of the Vibrant Clean Resource Adequacy Renewable Energy Power Datasets. It contains estimated county-averaged hourly capacity factor for wind and solar generating facilities in the US from 2019 through 2023.

This data is similar to the gridpathtoolkit capacity factor data, but it's calculated using different methodology and is published at different granularities. Part of the project scope includes comparing the two data sources.

Review the dataset overview and the methods used create this dataset.

This dataset is currently proprietary.

Data source moniker: vcerare

Motivation

This project is funded by Vibrant Pattern Futures (Pattern Energy + Vibrant Clean Energy) to ensure that the dataset be programmatically verified and made easily accessible to the public.

Scope

View our SOW document and hours estimations.

Tasks

Beta Give feedback

1. Add source metadata for vceregen data #3886
   metadata new-data vcerare +3
   
2. Update gridpathratoolkit and vceregen metadata #3897
   gridpathratoolkit metadata vcerare zenodo +4
   
3. Archive the raw vceregen data on Zenodo pudl-archiver#434
   new-data vcerare zenodo +3
   
4. Write an extractor for the vceregen data #3880
   csv new-data vcerare +3
   
5. Clean, transform, and sanity check the vceregen data #3874
   data-cleaning new-data vcerare +3
   
6. Update documentation to include the vceregen data #3876
   docs new-data vcerare +3
   
7. Create notebooks to explore the vceregen parquet data #3877
   docs new-data vcerare +3
8. Validate the vceregen data #3875
   data-validation new-data vcerare +3
9. Convert PUDL parquet outputs to CSVs for vceregen data #3878
   vcerare +1
10. Make an interim release with the vceregen data #3879
    new-data release vcerare +3
    
11. Updates docs to link directly to parquet file
12. Respond to any feedback from VCE
13. Publicize the vceregen data (blog post, share on socials) #3891
    docs new-data vcerare +3

[zaneselvans]

In the licensing agreement Chris asked that the dataset be attributed to VCE, so I think it should probably be vceregen

[aesharpe]

Chis noted in his email a few days ago that his preferred moniker is vcerare standing for Resource Adequacy Renewable Energy, so I'm going to use this moving forward.

[aesharpe]

There are still some memory issues to work through with this dataset, but the tasks themselves are complete. See #3914 for next steps.