Prince William County, Virginia
DataCentersExposed tracks 111 AI data centers in Prince William County, Virginia — 26 operating and 71 in the pipeline, drawing 4.1 GW of reported power demand, led by Amazon.com, Inc.. Its transparent data-center risk score is 1/100.
Sources: Methodology, Coverage scorecard
Reporting by Eric Keller · Updated May 29, 2026
- Project exposure · 57
- Power demand · 58
- Water draw · n/a
- Land footprint · n/a
What's happening in Prince William County
Facilities here with disclosed capacity draw 4.1 GW from the local grid. Data-center load on this scale is the single biggest driver of recent capacity-market price increases — costs that flow through to every ratepayer in the service territory, not just the operators.
Amazon.com, Inc. has the largest presence in Prince William County. We resolve project codenames and shell LLCs back to the corporate parent wherever the public record allows, so the table below names who is actually behind each site.
Below: every tracked facility in the county, the active state legislation that names it or its county, and local news. Commissioner vote records arrive in a later release; the placeholders show where that accountability data will land.
2035 Buildout Outlook
Under the model's moderate-growth scenario (5%/yr annual load growth), PNNL's IM3 model sites about 1 standardized 36 MW campus in Prince William County by 2035 — roughly 36 MW of new electricity demand and ~35 M gal/yr of cooling water. Under the higher-growth scenario (15%/yr) that climbs to 5 campuses (180 MW). For scale, we currently track 111 real data centers in Prince William County (4.1 GW of reported power).
- Low growth136 MW · ~35 M gal/yr cooling water
- Moderate growth136 MW · ~35 M gal/yr cooling water
- High growth3108 MW · ~104 M gal/yr cooling water
- Higher growth5180 MW · ~174 M gal/yr cooling water
The model assigns ~100% of these campuses' cooling to evaporative water cooling in Prince William County (the rest to mechanical/air cooling), a split it derives from local water stress and wet-bulb temperature.
These are modeled candidate sites, not announced or permitted facilities. PNNL's IM3 model places identical 36 MW unit-campuses at feasible locations under each scenario — it shows where demand could concentrate, never a specific parcel. Figures use a market-gravity weight of 50. How the model works.
Every tracked facility
County commissioners
How the Prince William County board votes on each data-center matter — the rezonings, the abatements, the water permits — is built from public-meeting minutes and roll-call records. Know of a vote we should be tracking? Tell us.