Real-time irradiance
and PV production data

Live data for solar resource assessment and PV monitoring

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Real-time estimates based on satellite imagery and weather models

Real-time images are received from several geostationary meteorological satellites operated by NOAA (GOES -W, GOES -E), EUMETSAT (MSG -0°, MSG-IODC), and JMA (HIMAWARI). These providers were selected because these 5 satellites cover the whole globe at high spatio-temporal resolution - 5 to 15 minutes and 500 m to 2 km depending on the region and channel (visible/infrared). Raw satellite images provide continuous information on cloud properties (e.g., type and opacity).

In addition, several weather models are used to bring useful information on other key atmospheric constituents interacting with solar radiation (water vapor, ozone, aerosols and albedo). For instance, the Copernicus Atmosphere Monitoring Service (CAMS) global analysis and reanalysis from ECMWF provide the concentration of ozone and aerosols (e.g. dust, sea-salt, biomass-burning, sulfate).

The Global Horizontal Irradiance (GHI) in clear sky and cloudy conditions are computed independently using state-of-the-art models for Radiative Transfer, parallax correction and shadow projections. Then, separation and transposition models determine the direct (beam), diffuse and plane-of-array irradiance (DNI, DHI, GTI).

Finally, the actual PV power can be estimated using physical models accounting for detailed plant specifications (technology, layout, shading, losses, etc).

Our irradiance and PV power data is updated every 5 to 15 minutes for any location worldwide. 

5 - 15 minutes

Update frequency

1 min 

Data time-step 

Power, GHI, DNI, DHI, GTI 

Available parameters  

Site, Portfolio, City, Region or Country

Coverage

PV, Trackers, Bifacial, CSP

Technology  

API, SFTP, etc. 

Data delivery  

24-hour solar irradiance forecast for New Caledonia
Charts on the 24-hour solar irradiance forecast

KEY BENEFITS

EVALUATE THE PERFORMANCE

Of individual solar assets or a portfolio 

CONTINUOUS ACCURACY IMPROVEMENT 

Using in-situ measurements from various observational networks around the world. Before applying machine learning, we systematically check the quality of the data. You can easily integrate your own measurements into our system to get even more accurate estimates.

WORLDWIDE COVERAGE 

Real-time process of images coming from five geostationary meteorological satellites 

SOLUTIONS

Irradiance forecasting for plant operations

Plant operation

Make your solar and wind power plants more profitable. Limit penalties, maximize revenues.

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Anticipate electricity price evolution on spot power markets

Power trading & portfolio management

Optimize transactions on power markets. Reduce unbalancing costs. Manage risks.

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Solar forecasting for distribution system operators

Interconnected grid management

Reduce grid management costs.

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Contact us to discuss your projects

METHODOLOGY  

Step 1 data acquisition
Step 2 modeling
Step 3 optimization
Step 4 delivery

Step 1

Step 2

Step 3

Step 4

DATA ACQUISITION 

MODELING 

OPTIMIZATION 

DELIVERY 

From 5 geostationary satellites.

Different channels providing information on the atmosphere, clouds and aerosols.

Every 5 to 15 minutes.

Cloud detection and classification.

Accurate estimation of clear sky conditions using real-time aerosols concentration data.

Calculation of direct and diffuse irradiance components in cloudy conditions.

High-resolution topographical corrections (down to 90m).

PV modeling based on physical models and plant features.

Based on historical and/or real-time on-site measurements.

Continuous accuracy improvements using state-of-the-art machine learning techniques.

To take into account local weather phenomena and power plants’ behavior.

Flexible delivery (API, SFTP, etc..).

Customized format (csv, txt, etc.).

Dedicated and secured Steadysun’s web interfaces (visualization, data analytics and warnings).

Performance monitoring

METHODOLOGY

Step 1

DATA ACQUISITION

From 5 geostationary satellites

Different channels providing information on the atmosphere, clouds and aerosols

Every 5 to 15 minutes

Step 2

MODELING 

Cloud detection and classification

Accurate estimation of clear sky conditions using real-time aerosols concentration data

Calculation of direct and diffuse irradiance components in cloudy conditions

High-resolution topographical corrections (down to 90m)

PV modeling based on physical models and plant features

Step 3

OPTIMIZATION 

Based on historical and/or real-time on-site measurements

Continuous accuracy improvements using state-of-the-art machine learning techniques

To take into account local weather phenomena and power plants’ behavior

Step 4

DELIVERY 

Flexible sending (API, SFTP, etc.)

Customized format (csv, txt, etc.)

Dedicated and secured Steadysun’s web interfaces (visualization, data analytics and warnings)

Performance monitoring

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OFFICE ADDRESS

Savoie Technolac
Bâtiment Dauphin
18 rue du Lac Saint-André
73370 Le Bourget-du-Lac
France

HEADQUARTERS

QUOS Group
18 Allée du lac Saint André
BP 40328
73382 Le Bourget-du-Lac
CEDEX

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