3.4M Solar Panels
6 hours ago
- #data analysis
- #solar energy
- #geospatial
- Version 2 of the GM-SEUS dataset was released with over 3.4 million solar panels and includes a new rooftop array dataset.
- The analysis was performed on a high-performance workstation with specifications including an AMD Ryzen 9 9950X CPU, 96 GB RAM, and an NVMe SSD, running Ubuntu via Windows 11.
- Prerequisites installed include GDAL 3.9.3 and DuckDB with extensions (H3, JSON, Lindel, Parquet, Spatial) for data processing and analysis.
- The rooftop arrays dataset contains 5,822 records, with columns like area, azimuth, capacity, and installation year, showing varied data completeness and sources.
- The panels dataset has 3,429,157 records, detailing attributes such as panelID, arrayID, row dimensions, and source, with minimal null values.
- The arrays dataset includes 18,980 records with extensive fields covering capacity, installation year, ground cover, and module types, used for spatial heatmaps.
- Visualizations and heatmaps were created using QGIS 4.0.1 and H3 hexagons to represent data density and source distributions across geographic areas.
- Source analysis revealed OSM as the top contributor for both rooftop and ground arrays, highlighting dataset composition and potential coverage gaps.