24/7 Carbon Matching
Without the Guesswork
See exactly how solar, wind, storage, and clean firm power match your load—hour by hour, all year long. Get the full picture before you sign a PPA.
8,760
Hours Modeled
5+
Technologies
Historical
Hub Pricing
Why Eighty760?
Most tools track what happened yesterday. We help you plan what to buy for tomorrow.
| Eighty760 | |
|---|---|
| Primary Function | Scenario & Portfolio Modeling |
| Time Horizon | Forward-looking (Planning) |
| Key Value | Procurement Decision Support |
| Granularity | Hourly (8760) |
How it Works
From raw data to actionable 24/7 intelligence in seconds.
Load Profile (8760)
We start with your hourly consumption data for a full year.
Gen Profiles
Model wind, solar, and storage generation hour-by-hour based on location.
Hourly Matching
Calculate supply vs demand for every single hour (8,760 data points).
Residual Grid Risk
Identify exactly when and how much you are exposed to dirty grid power.
CFE Score
True Carbon-Free Energy score, not just '100% renewable' on paper.
What decisions does Eighty760 inform?
Move beyond simple volume targets. Our platform provides the granular data needed for complex VPPA structuring, portfolio sequencing, and boardroom strategy.
Solar vs. Wind Tradeoffs
Analyze how different generation mixes align with your specific load shape and grid location.
Storage Sizing for 24/7
Determine exactly how much battery capacity is needed to move from 65% to 85% hour-by-hour matching.
Annual vs. Hourly Reality
Reveal the gap between '100% Annual Renewable' claims and actual hourly carbon-free performance.
The 'Last 20%' Problem
Identify the diminishing returns and exponential costs of chasing the final percentage points of CFE.
Energy Procurement Maturity
Annual REC Matching
Compliance-focused
Market-Based Scope 2
Cost optimization
Hourly Awareness
Shadow metrics tracking
Portfolio Optimization
Strategic asset selection
24/7 CFE Strategy
Complete decarbonization
Methodology & Logic
Generation Modeling
Leveraging NREL's PVGIS and ERA5 weather data, our model generates high-fidelity hourly generation profiles. We utilize Typical Meteorological Year (TMY) data to ensure statistical reliability, while accounting for seasonal variability and localized weather patterns.
Scarcity Pricing Model
REC values scale based on grid stress.
Mid-Day
0.45x
Shoulder
1.0x
Evening
1.2x
Critical
2.0x