Wind and EU datasets are on the roadmap.
Select Solar + US to explore current data.
| Name | MW | Location | Utility | Type |
|---|---|---|---|---|
| Loading plants… | ||||
USGS & Lawrence Berkeley National Laboratory database of all utility-scale solar PV facilities ≥1 MW in the United States.
U.S. Energy Information Administration annual survey of electric power plants, including all utility-scale wind farms.
Bundesnetzagentur (Federal Network Agency) official registry of all power generation units in Germany, filtered to ≥1 MW operational plants.
UK Department for Energy Security & Net Zero Renewable Energy Planning Database, covering operational solar and wind across Great Britain.
Red Eléctrica de España (national grid operator) interactive map of registered solar PV installations across Spain.
Red Eléctrica de España wind installations registry via Spain's Ministry for Ecological Transition, covering all registered wind parks.
Dutch government ArcGIS dashboard ("Sun on Map") tracking all realised solar parks in the Netherlands, published by RVO.
Global Energy Monitor Global Solar Power Tracker (Feb 2026), utility-scale (>1 MW) Italian solar, operating only, merged with WRI Global Power Plant Database v1.3 for older plants (deduplicated within 2 km). 1,212 plants, ~6.3 GW.
Wind generators and plants tagged by OSM contributors, filtered to facilities with recorded capacity.
Curtailment risk is derived from Locational Marginal Prices (LMPs) sourced via GridStatus and matched to each solar plant's nearest pricing node using geographic proximity.
The Marginal Cost of Congestion (MCC) — the congestion component of the LMP — is used as a proxy for curtailment pressure. Persistently negative MCC signals that local generation exceeds transmission capacity, forcing output reduction.
Markets covered: CAISO, MISO, SPP, NYISO, ISONE. PJM excluded.
ERCOT does not publish a native MCC component. Congestion is instead approximated as:
Where SPPnode is the Settlement Point Price at each generation node and HB_HUBAVG is ERCOT's generation-weighted average of the four hub prices (HB_NORTH, HB_SOUTH, HB_WEST, HB_HOUSTON), used as the system energy reference price λ. Subtracting λ strips out the energy component and isolates congestion + loss residuals, making ERCOT directly comparable to nodal MCC values from MISO, CAISO, and other ISOs. HB_HUBAVG slightly overestimates λ for west Texas (where wind surplus depresses HB_WEST) and underestimates for Houston, but is the standard industry proxy for risk ranking purposes.
ERCOT coverage: 177 solar farms matched to generation nodes. HB_HUBAVG was included in the node cache and used directly for the hourly join.