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| 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.
One point per GSE "area convenzionale" (the catchment of a primary HV/MV substation, 2025 delivery, 2,143 areas). Positions come from OpenStreetMap substations tagged at 132/150 kV, assigned to areas by point-in-polygon and confirmed by fuzzy name matching against e-distribuzione's Cabine Primarie list and the area's comuni. Unmatched areas fall back to the area centroid and are drawn muted. Areas: © GSE, CC BY-NC-SA 3.0 IT (non-commercial). Points: © OpenStreetMap contributors, ODbL. The layer shows where substations are, not their hosting capacity — the medium-voltage feeder is the binding constraint and is not publicly mapped.
Available access capacity on every busbar above 1 kV, for generation and for demand, as reported by the transmission operator and some sixty distributors under Circular informativa 6/2025 and republished monthly by the CNMC. Read from the feature services behind the two maps; one record per substation and voltage level, positions as the CNMC places them.
The "Operators" source swaps in what each operator publishes itself under Circular 1/2021: Red Eléctrica's monthly node tables (generation, demand), which add the evaluation criteria, the limiting criterion and the reason capacity is withheld, and e-distribución's CSVs (generation, demand) for e-distribución, EASA and Ceuta, which add bay counts and the operator's comments. Red Eléctrica's tables have no coordinates and are placed by matching node name and voltage to the CNMC layer. i-DE and UFD refuse automated requests, so they and the smaller distributors stay on their CNMC rows in both sources, and are labelled as such.
Capacities are informative. Nodes influence one another, so figures cannot be added across busbars or substations, and a value published today may be gone when a request is studied.
Demand and generation headroom at every grid supply point, bulk supply point and primary substation, from each distribution operator's own open data: National Grid Electricity Distribution (LTDS Capacity Heatmap, four licence areas), Northern Powergrid (Heat Map Data), SSEN Distribution (Headroom Dashboard Data) and NIE Networks (Capacity Map Data, Northern Ireland). Each keeps its own fields and its own update cycle, shown on every popup. For NIE the headline is the tightest of the substation, upstream network and bulk-supply-point headrooms.
Not included: UK Power Networks, SP Energy Networks and Electricity North West publish the same heat maps but only to registered API keys. There is no national aggregation, and no open geolocated capacity data for the transmission network. Figures are indicative; a formal application is always studied individually.
Clicking a plant models its hourly year: production, resource and market price. Double-clicking it also pulls the climate design conditions of the nearest ASHRAE station, shown at the foot of the same panel. The XLSX button at the top of the site panel (and on the compute-node card) downloads the hourly 24/7-node timeseries — available production, production to node, grid import, node load — as a spreadsheet.
Hourly reanalysis GHI, plane-of-array irradiance, temperature and 100 m wind speed on a ~5 km cell. Production uses the same crystalline-Si and manufacturer-power-curve models as Ambra Colocator, so a site reads the same across the tools.
Hourly nodal day-ahead prices with their energy, congestion and loss components, for the CAISO nodes matched to plants in this dataset. Other ISOs are not bundled yet.
Zonal day-ahead prices for the Italian bidding zones and Spain (ENTSO-E) and Great Britain (Elexon MID, converted to EUR), read from Colocator's maintained price set.
Manufacturer power curves from the Open Energy Platform wind turbine library (via windpowerlib), licensed ODbL-1.0. Wind output interpolates the machine's published curve, with a 0.95 wake and availability factor on top.
Opening a plant finds the nearest ASHRAE Handbook of Fundamentals station and shows fifty of its design parameters — extreme and mean dry bulb, wet bulb, dew point and humidity ratio, degree-days and degree-hours, design wind and station pressure — with monthly temperature, dry-bulb, wet-bulb and precipitation series. Editions 2009 through 2025; values are published station data, taken as-is with no interpolation between stations.
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.