Real utility rates.
Verified tariff data.
Ready to model.
Stop rebuilding tariff rate schedules from scratch. Browse verified utility tariffs from major data center markets — energy charges, demand charges, riders, fuel adjustment clauses, and regulatory metadata — sourced directly from official utility filings and rate case orders.
Workflow: Browse Rate Schedules, Review Components & Import to Deal Evaluator
Choose by state or utility. Filter to your target data center market — Virginia, North Carolina, Georgia, and more as coverage expands.
View available rate schedules for each utility. Large general service, high load factor, time-of-use, and industrial tariffs.
Inspect every rate component — energy charges, demand charges, riders, fuel adjustment clauses, T&D adders, and fixed monthly fees.
Load a complete tariff into the Deal Evaluator with one click. All components pre-populated — customize or run as-is.
Every rate component. Verified and structured.
Each tariff in the database is broken down into its individual rate components — not a single blended number, but the actual structure utilities file with their regulatory commissions.
Utility Tariff Coverage: Dominion, Duke, Georgia Power & Expanding Markets
Coverage is focused on the markets where large-scale data center procurement is most active. New utilities are added based on development pipeline activity, rate case filings, and community contributions.
GS-4 and large power schedules serving Northern Virginia — the largest data center market in the world. Includes all active riders, fuel factors, and demand ratchet provisions.
LGS-TOU, LGS-HLF, and HP schedules for the Research Triangle and Charlotte metro. Full TOU differentials, demand charges, and current rider stack.
TOU-HLF-16 and large commercial schedules serving Metro Atlanta and surrounding industrial corridors. Seasonal differentials and demand ratchets included.
New utilities added regularly based on data center development activity and user requests. Submit a tariff document to accelerate coverage in your market.
Built for energy procurement teams
Search, filter, inspect, and import — designed to eliminate the manual tariff research that slows down every data center energy deal.
Narrow by state, utility name, or rate schedule type. Find applicable tariffs for your target interconnection market in seconds.
Browse available schedules per utility — GS-4, LGS-TOU, HP, HLF, and more. Each schedule is tagged with voltage level and customer class.
Expand any tariff to see every rate component: energy, demand, riders, fuel clauses, T&D adders, and fixed charges with exact $/kWh and $/kW values.
Each tariff record includes effective dates and regulatory docket references. Know exactly which rate schedule version you're modeling against.
One-click import loads the full tariff structure into the Deal Evaluator. All energy, demand, and rider fields pre-populated for immediate analysis.
Upload tariff PDFs for utilities not yet in the library. Our team reviews, parses, and adds verified data — expanding coverage for all users.
Rate cases, riders, and policy changes — tracked
Utility tariffs are living documents. Rate cases, new riders, fuel clause adjustments, and regulatory policy shifts can change the cost of power at a site overnight. The tariff database tracks these changes so your models stay current.
When a utility files a general rate case, new base rates can shift energy and demand charges by 5–15%. Each tariff record references its docket number and effective date so you know which version you're modeling.
Grid modernization riders, renewable portfolio standard surcharges, fuel adjustment clauses, and environmental compliance charges add layers to the all-in cost. Every active rider is included in the tariff structure.
Fuel adjustment clauses can swing ±$0.01–0.03/kWh quarter to quarter. The database captures current fuel factors so your cost projections reflect actual market conditions — not stale assumptions.
State-level clean energy mandates, capacity market reforms, and transmission cost allocation changes flow through to retail tariffs. Understanding upstream policy helps anticipate downstream rate pressure.
Who uses this
Comparing utility tariff costs across Virginia, North Carolina, and Georgia for a new 100 MW campus. Need all-in $/MWh with riders and fuel clauses — not just the base energy rate — to make an accurate site-level comparison.
Evaluating whether a BTM solar+storage deal beats the incumbent utility tariff. Need the full tariff structure loaded into a deal model to compare avoided cost savings against PPA pricing — rider by rider, charge by charge.
Tracking how a pending rate case will change the economics of an existing power contract. Need the current tariff baseline and proposed rate changes to quantify the impact on a portfolio of data center leases.
Underwriting a data center acquisition with utility tariff exposure. Need verified rate schedules to stress-test revenue assumptions against potential rate increases, rider additions, and fuel clause volatility.
The hidden complexity of utility tariff analysis
A utility tariff is not a single number. A typical large commercial or industrial rate schedule includes base energy charges that vary by time-of-use period and season, demand charges with coincident peak ratchet provisions, transmission and distribution delivery adders, fuel adjustment clauses that change quarterly, and a stack of riders — renewable energy surcharges, grid modernization fees, nuclear decommissioning charges, environmental compliance costs, and more.
For data center operators evaluating sites across multiple utility territories, rebuilding this tariff structure manually for each deal takes 30–60 minutes per tariff — assuming you can find the current rate schedule, identify all applicable riders, and correctly interpret the filing. Multiply that by 3–5 candidate sites across 2–3 states, and tariff research becomes a meaningful bottleneck in the procurement timeline.
The Bridged Energy Utility Tariff Database eliminates that bottleneck. Every tariff is parsed from official utility filings, broken into structured rate components, and made available for one-click import into the Deal Evaluator. Energy charges, demand charges, riders, fuel clauses, T&D adders — all pre-populated and ready for analysis. When a utility files a rate case or updates a rider, the database is updated to reflect the new rates.
This matters because the difference between a correctly modeled tariff and a simplified estimate can be $2–5/MWh on an all-in basis — enough to change the outcome of a BTM vs. utility tariff comparison, shift a site selection ranking, or misrepresent the risk profile of a 15-year power commitment.
Stop guessing at utility rates.
Browse verified tariff data. Import into your deal model. Know the real cost of power — rider by rider, charge by charge.