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Prospect
Quick estimate of PV site's solar potential
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Evaluate
Time Series & TMY data for energy modelling
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Monitor
Real-time PV output assessment
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Forecast
Solar power output forecast for up to 14 days
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Analyst
Simplified & unified solar data management
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Integrations
Automate delivery of Solargis data
Use cases
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Site selection
Find the right solar project location
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Energy yield simulation
Analyze potential gains and risks
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Optimizing power plant design
Find optimum power plant design
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Real power plant performance
Discover the true output
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Power output forecast
Predict solar project energy output
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Ground data verification
Verify quality of solar & meteo measurements
Solar Resource & Meteo Assessment
Detailed solar resource validation and assessment
Site Adaptation of Solargis Models
Combining satellite data with on-site measurements
Quality Control of Solar & Meteo Measurements
Correction of errors in ground-measured data
Customized GIS Data
Customized Solargis GIS data for your applications
PV Energy Yield Assessment
Estimated energy uncertainties and related data inputs
PV Performance Assessment
Energy estimate for refinancing or asset acquisition
PV Variability & Storage Optimization Study
Understand output variability across wide geo regions
Regional Solar Energy Potential Study
Identification of locations for solar power plants
Our expertise
How our technology works
Methodology
How we transform science into technology
API & integration
How to integrate Solargis data via API
Product guides & documentation
Release notes
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Solar performance maps
About Solargis
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For financial risk assessment, investors and developers require reports of expected energy production, including uncertainties, as well as related solar and meteorological data inputs.

We offer an independent and impartial evaluation of PV energy yield with our proprietary simulation tools and models. These are based on 15+ years of experience working on large-scale PV power plants around the world.

Low uncertainty of input data

Solar resource and air temperature are the most significant contributors to the uncertainty of PV energy simulations.

Solargis PV energy estimates are based on our own solar and meteorological Time Series, known for their rigorous validation and low uncertainty. 

Simulation in 1- to 15-minute time steps

In contrast to the common practice of using hourly TMY data in PV yield simulation, we use sub-hourly time series of solar radiation and air temperature.

Weather inputs with higher temporal resolution and a full history (more than 30 years) deliver higher accuracy and help you correctly evaluate atypical weather conditions.

For energy PV yield assessment, we use our proprietary simulation engine and algorithms. This enables us to provide you with detailed insights into energy losses, uncertainties, and PV plant design options.

If available, we integrate on-site measurements of solar and meteorological data for site adaptation of the Solargis model, delivering long-term time series with reduced uncertainty and, in turn, giving project stakeholders higher confidence.

“At all 10 projects, Solargis irradiation data closely matched on-site measurements, giving First Solar and other project stakeholders full confidence in the accuracy of Solargis estimates.”
Fadi Ferzli
Senior Manager, Technical Sales and Engineering
First Solar
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Reliable and bankable data
Sub-hourly data for technical design
Time Series & Typical Meteorological Year
Complete understanding of the site's conditions
Identifying weather variability & extremes