OSM Power Plants

Two tools in one package:

1. Collect and parse OpenStreetMap power-plant data into a clean, modelling-ready table.
2. Triage the OSM dataset itself — every element that couldn't be resolved is emitted as a rejection report (CSV + GeoJSON) with a reason code and an OSM URL so contributors can fix the underlying tags.

Quick Start

pip install osm-powerplants
osm-powerplants process Germany France -o plants.csv

from osm_powerplants import process_units, get_config, get_cache_dir

config = get_config()
df = process_units(
    countries=["Chile", "Greece"],
    config=config,
    cache_dir=str(get_cache_dir(config)),
    output_path="plants.csv",
    rejected_output_path="plants_rejected.csv",  # optional — see Quality Tracking
)

Output

Column	Description
projectID	OSM-based identifier
Name	Plant name
Country	Country name
lat, lon	WGS84 coordinates
Fueltype	Solar, Wind, Hydro, Nuclear, Natural Gas, etc.
Technology	PV, Onshore, Run-Of-River, Steam Turbine, etc.
Set	PP, Store, CHP
Capacity	MW
DateIn	Commissioning year

Where to go next

• Installation
• Quick Start
• Configuration
• Quality Tracking — the rejection-report half of the package
• Python API
• CLI Reference

License

MIT License. Data from OpenStreetMap contributors.