Your foundation for a secure PV investment.

A photovoltaic system is a long-term investment. Don’t rely on rough estimates or outdated climate data. Our yield data provides a realistic basis for your decision, based on real weather data from the past 10 years.

The typical year for your location

We analyze high-resolution 15-minute time series from the last 10 years to deliver the average yield year for your project location. If desired, you can also receive the data for each individual year as well as the yield trend. This is the solid basis for every yield forecast and profitability calculation.

More than just a number: Reliable results

Gain investment security

Present your project with confidence. Our detailed yield data forms the basis for solid financial planning and helps you and investors to be convinced of your project's profitability.

Compare locations and technologies

Which location is more productive? Is a tracking system worthwhile? Simulate different scenarios and configurations to objectively identify the most profitable solution for your project.

Forecast realistic yields

Our calculations go beyond simple averages. By taking site-specific losses such as snow and soiling into account, you receive a forecast that comes much closer to reality than conventional tools.

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An expert analysis that goes into detail

The details matter for a reliable yield forecast. That’s why our calculations are based on a solid data foundation and physical models that accurately represent key influencing factors.

  • 10 years in 15-minute resolution: Instead of relying on monthly averages, we analyze the full 10 years in 15-minute steps. This captures weather extremes more accurately and leads to a more realistic assessment.
  • Detailed shading analysis: Shading is a decisive yield factor. We automatically calculate distant horizon shading and all configured shadows—for an accurate representation of site conditions.
  • Site-based loss factors: Our model takes into account location-dependent losses from soiling and snow, instead of using inaccurate general values. This ensures reliable results.