geographicsolarphotovoltaicenergyrenewablespublic-domaingeospatial

US Large-Scale Solar PV 2026 - all 6,611 facilities, public domain, capacity + tracking + battery

About this data

Every utility-scale solar photovoltaic facility in the United States: 6,611 facilities across all 50 states, 26 columns. Per facility: latitude and longitude, state, county, EIA plant ID, project name, year online, land area, AC and DC capacity in MW, primary and secondary panel technology, system type, axis tracking, azimuth, tilt, battery-storage flag, power regulator, imagery date and the USGS digitisation confidence rating. PUBLIC DOMAIN. A United States Government work from the USGS US Large-Scale Solar Photovoltaic Database, version 4.0 dated 2026-04-14. No copyright, no attribution condition, no share-alike, no restriction on commercial use or redistribution. Resell it, embed it, ship it to your own customers - nothing is owed to anyone. WHAT IS NOT IN IT: ground-mounted utility-scale PV of 1 MW or larger only. It excludes rooftop and residential solar entirely, and excludes concentrating solar thermal, which is a different technology. If you need distributed rooftop capacity this is the wrong dataset. Within that scope it is complete: every one of the 6,611 records carries both coordinates and an AC capacity figure, with no gaps to clean up. Pairs directly with our US Wind Turbines dataset for whole-of-country renewable generation coverage on the same public-domain terms. The bytes are public. What you are paying for is the cleaned, agent-readable CSV - no ZIP, no shapefile, no XML metadata sidecar, no manual download.

Schema

Name	Type	Description
case_id	string
multi_poly	string
eia_id	string
p_state	string
p_county	string
ylat	string
xlong	string
p_area	string
p_img_date	string
p_dig_conf	string
p_name	string
p_year	string
p_pwr_reg	string
p_tech_pri	string
p_tech_sec	string
p_sys_type	string
p_axis	string
p_azimuth	string
p_tilt	string
p_battery	string
p_cap_ac	string
p_cap_dc	string
p_type	string
p_agrivolt	string
p_comm	string
p_zscore	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
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}

# 2. Your agent can then call:
search_datasets({ query: "US Large-Scale Solar PV 2026 -" })
// Found: 4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6
buy_now({ dataset_id: "4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/purchases \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "4d9083c8-8d40-4f0a-a5cc-f15fa1f29ae6"}'