New generation Solargis Evaluate: data, PV design & simulation, analysis, and reports in one cloud-based solution. Discover more ->

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Explore best- and worst-case scenarios

Explore best- and worst-case scenarios

Every energy yield calculation should include a detailed assessment of the range of weather variability at the project site.

For that, you will need a full record of past weather conditions – considering weather trends and extremes. Then you'll understand how the yield calculation models work in the simulation.

This approach will enable you to accurately differentiate between your best- and worst-case scenarios, taking into account energy losses and related uncertainty.

Estimate the project's yield based on the most accurate data

Estimate the project's yield based on the most accurate data

Use a comprehensive history of sub-hourly time series to capture detailed insights on expected production.

Solargis energy yield simulations have been validated across hundreds of real-life projects and through independent academic studies.

They are trusted by financial institutions and investors worldwide, who use Solargis data for tens of thousands of project evaluations each year.

Secure financing for your project

Secure financing for your project

Building a solar power plant requires a multi-million dollar upfront investment.

Developers, investors, and financial institutions are all exposed to financial risk, both at the outset of the project and during its long-term operation. To manage this, they need to reliably evaluate the sustainability of energy generation and calculate the future earnings of the PV plant.

Solargis yield simulation provides all the necessary data and solutions for these evaluations – improving confidence in vital investment decisions.

Related products and services#

15-min Time Series and TMY data
Up to 30 years of data history
3D energy system designer
Unmatched level of detail and accuracy
PV simulation based on ray tracing and anisotropic sky model

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.

Solargis API Typical Meteorological Year (TMY) provides access to a comprehensive solar model of TMY data for locations all over the world.

Get direct access to Solargis TMY data in your energy simulation software via API.

For larger and utility-scale solar projects, you need long-term solar and meteorological data to be regionally validated with the right uncertainty estimates.

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

Useful resources#

Why is 1-min data essential for solar project financiers?

Why is 1-min data essential for solar project financiers?

One of the key challenges for solar project financiers is to assess the expected energy production and revenue of a project over its lifetime, considering the uncertainties and fluctuations of the solar resource.

How to calculate P90 (or other Pxx) PV energy yield estimates

How to calculate P90 (or other Pxx) PV energy yield estimates

To assess the solar resource or energy yield potential of a site, we model the solar resource/energy yield using best available information and methods. The resulting estimate is the P50 estimate, or in other words, the “best estimate”. P50 is essentially a statistical level of confidence suggesting that we expect to exceed the predicted solar resource/energy yield 50% of the time. However, ...

Managing Complexity: 5 benefits of high-frequency data for solar + storage projects

Managing Complexity: 5 benefits of high-frequency data for solar + storage projects

Storing and dispatching power at the optimal time requires an extremely granular understanding of how much power a project is generating both now and in the immediate future. Developers, operators, and owners increasingly require high-frequency (1-minute) weather and solar irradiance data that enables them to make quick, accurate and financially effective decisions.

Trusted by 1200+ organizations worldwide#

9 000+

Projects supported by our bankable solar & meteo data, software, and services every year

24

Years of experience with solar projects and improving industry standards

99%

Coverage of the world’s population with 30 years of solar and meteorological data

"We had been in touch with several meteo providers and we found that Solargis provides the most representative estimates for each site."
Matteo Riccieri
Chief Operating Officer
RTR
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