PUDL v2024.10.0 is out today, and it includes a never before openly available dataset: county-level hourly renewable generation profiles from @drchrisclack
You can explore the dataset through this Jupyter notebook, which we used to generate the attached animations.
Thanks to GridLab for supporting the data integration work.
https://www.kaggle.com/code/catalystcooperative/04-renewable-generation-profiles
The original VCE data as a set of 8760 hourly CSVs has been archived on Zenodo here:
https://zenodo.org/records/13937523
The full PUDL v2024.10.0 data release is archived here, and includes the VCE dataset as one of our many Apache Parquet outputs:
This dataset was produced by Vibrant Clean Energy and is licensed to the public under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). The data consists of hourly, county-level renewable generation profiles in the continental United States and was compiled based on outputs from the NOAA HRRR weather model. Profiles are stated as a capacity factor (a percentage of nameplate capacity) and exist for onshore wind, offshore wind, and fixed-tilt solar generation types. Archived by Catalyst Cooperative from data provided directly from the dataset's creator. For more information, see https://vibrantcleanenergy.com/products/datasets/ This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources: The PUDL Repository on GitHub PUDL Documentation Other Catalyst Cooperative data archives
Learn more about why this kind of data is so important for the energy transition in this ESIG paper about weather data for power system planning:
https://www.esig.energy/weather-data-for-power-system-planning/
A short post / press release about the new VCE RARE renewable generation profile integration into PUDL, if you want to link or share it around:
Catalyst Cooperative
