Energy & Grid
Power cost, grid readiness and interconnection friction that set time-to-power.
How it's scored →See which region fits your needs, and what each one trades away, across energy, water, carbon, policy and risk.
Every region gets a score on each pillar. Your investment profile, asset type and three preferences set the weights, and the engine shows you those weights on every run.
The engine behind it is DCDE, SiteVector's Data-Centric Decision Engine.
Each pillar is a map layer above. The small shape on each card is the top composite metro on the map, with that pillar highlighted.
Power cost, grid readiness and interconnection friction that set time-to-power.
How it's scored →Water availability and stress that shape cooling strategy and long-term feasibility.
How it's scored →Current and projected grid carbon intensity over the asset lifecycle.
How it's scored →Incentive strength, permitting friendliness and zoning friction.
How it's scored →Physical hazards and cost pressure that affect resilience and delivery.
How it's scored →The same inputs, the full ranked table, applied weights and an AI summary on every run.
| # | Metro | Energy | Water | Carbon | Policy | Risk | Composite |
|---|---|---|---|---|---|---|---|
| 1 | Northern Virginia | 86 | 70 | 58 | 84 | 72 | 79 |
| 2 | Columbus | 76 | 74 | 50 | 72 | 80 | 74 |
| 3 | Dallas–Fort Worth | 82 | 55 | 52 | 80 | 60 | 72 |
| 4 | Salt Lake City | 72 | 46 | 56 | 70 | 76 | 69 |
| 5 | Greater Portland | 64 | 82 | 88 | 62 | 58 | 66 |
Product preview with illustrative scores.
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