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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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Solar power output forecast for up to 14 days
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Simplified & unified solar data management
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Automate delivery of Solargis data
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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
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As solar projects grow in scale and move into emerging markets worldwide, it is increasingly important for long-term solar and meteorological data to be validated on a regional basis, with the right uncertainty estimates.

We can provide you with a detailed solar resource assessment and validation report as an add-on to our standard data delivery. 

To support the bankability of the assessment, we include solar and meteorological data validation from nearby sites.

Regional validation statistics provide a better indication of the expected quality of GHI and DNI model estimates.

Specific uncertainty of solar and meteo estimates

Our reports include uncertainty and probability of exceedance values for multiple scenarios.

We derive this key information from an analysis of the representativeness and accuracy of regional measurements, model validation, and interannual variability.

If available, we integrate on-site measurements of solar and meteorological data to perform site adaptation of the Solargis model.

This enables the delivery of long-term time series with reduced uncertainty, giving project stakeholders more confidence.

“We had been in touch with several meteo providers and we found that Solargis provides the most representative estimates for each site.”
Fadi Ferzli
Senior Manager, Technical Sales and Engineering
First Solar
Logo first solar

Discover more#

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
One solar data source for all sites
Gap- and error-free solar radiation data
Minimize meteo station inputs uncertainty
Benchmark planned performance with reality
Near real-time PV output assessment

Combine satellite data with on-site measurements to reduce the uncertainty of estimated energy output and achieve more accurate financial estimates.

The Site Adaptation of Solargis Models service will give you locally enhanced solar and meteo parameters, enabling you to reduce uncertainty of power plant design and energy yield simulations.

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 yield assessment with our proprietary simulation tools and models. These are based on 15+ years of experience working on large and medium-scale PV power plants around the world.

Data-driven insights from our PV Performance Assessment report conducted after months or years of the plant's operation will help you optimize its performance.

The report also provides a revised and more accurate long-term energy yield estimate for refinancing or new asset acquisition purposes.

Useful for#

Scan and compare tens or even hundreds of potential sites. Get an in-depth analysis of those with the highest solar potential.

Get deep insights into potential power plant setups. Evaluate environmental data that will affect an asset's efficiency and output.

Cross-reference your ground measurements with satellite data. Uncover potential issues such as sensor soiling, shading, or equipment error.