Solar energy potential
Satellite-derived solar radiation layers and site analytics — rank rooftops, neighborhoods, and candidate sites by realistic generation potential.
- City-scale irradiance
- Site ranking
- Seasonal profiles
Benefits
What solar energy potential unlocks
Short-term optimization
- Screen sites without instrument campaigns
- Prioritize rooftop-program neighborhoods
- Consistent criteria across candidate sites
Long-term impact
- Seasonal generation expectations per site
- Policy-program design inputs
- Portfolio-level potential assessments
Approach & methodology
How the analytics work
We are transparent about data sources, models, and limits — so you can trust what you act on.
- Data sources
- Satellite-derived solar radiation climatologies with terrain and land-use context.
- Approach
- Irradiance aggregation per surface/zone with shading and orientation heuristics.
- Update cadence
- Annual baselines with seasonal breakdowns.
- Limitations
- Rooftop-level structural suitability still needs engineering review; microshading needs site data.
Deliverables
Expected outputs
- GIS-ready data layers (GeoJSON / KML / SHP / GeoTIFF)
- Decision-ready PDF report with interpretation
- Interactive smart map with time-series view
Process
Project stages
3–5 weeks per program area
Define area of interest and indicators with your team
Acquire and process multi-date satellite imagery
Run analytics models and validate outputs
Deliver layers, maps, and report; set up recurring monitoring