Site-Adaptation (Ground-Tuning) Studies

Reduce solar energy yield assessment uncertainty

Harness the advantages of both long-history SolarAnywhere® data and site-specific ground measurements to reduce solar resource risk

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Meteorological station on solar project site

SolarAnywhere Site-Adaptation Studies

Combine the site specificity of ground station measurements with the interannual insights of long-history satellite-based SolarAnywhere data

Solar meteorological (MET) station measurements and satellite-based data each have their distinct advantages. With a site-adaptation (ground-tuning) study, PV project engineers can access the benefits of both data sources to reduce solar resource risk and increase yield assessment accuracy.

Satellite-based SolarAnywhere irradiance data offers the long-history (25+ year) insights required to assess interannual variability and probability of exceedance levels. Ground station measurements offer increased site-specificity, especially if meteorological instruments are well-maintained.

Tuning SolarAnywhere data with high-quality, ground-measured data results in a solar resource dataset with lower uncertainty and bias than either source independently.

Utilizing SolarAnywhere satellite-based data and at least 12 months of ground measured reference data, it is possible to achieve a site-adapted data uncertainty as low as 1.2%.1

1Read the research paper or explore our Methodology section to learn more.

Why SolarAnywhere

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Trusted Tuning Methodology

Account for site-specific clear sky bias and seasonal variation; KSI goodness-of-fit test and dual sliding window corrections.

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Quick Turnaround

Typically completed in 10 business days or less.

Expedited studies available. For more information, contact us.

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Bankable

Minimize resource risk and obtain the best terms for project financing with reports that are recognized by all major banks and independent engineers.

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Cost Effective

SolarAnywhere site-adaptation studies pay for themselves in reduced solar resource uncertainty and project risk.

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Industry Expertise

Exclusive partnership with Dr. Richard Perez. In-house research team. Every study reviewed by a Clean Power Research data quality engineer.

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Long-Term Insights

Assess interannual variability with 25+ years of time-series data (1998-present).

What Your Site-Adaptation Study Includes:

Solar resource assessment report
  • A bankable report characterizing solar resources and uncertainty for your project
  • Comparative metrics between your ground data and SolarAnywhere’s satellite-derived irradiance dataset
Solar resource data files tuned to your ground measurements
  • 25+ years of time-series data (1998–present) at a temporal resolution of up to 15 minutes, spatial resolution of 1 km
  • Typical GHI Year
  • Typical DNI Year
Native vs Tuned data graph

In this example, the native solar data had a negative bias and the final yield was corrected to be approximately 1.61% higher.

Site-Adaptation Methodology

Interested in learning about the SolarAnywhere site-adaptation methodology? Select the “+” button to read more.

Standard Deviation of Site-Adapted SolarAnywhere GHI MBE graph

Utilizing SolarAnywhere satellite-based data and at least 12 months of ground measured reference data, it is possible to achieve a site-adapted data uncertainty as low as 1.2%1.

SolarAnywhere site-adaptation studies employ a tuning methodology that combines at least 9–12 months of ground-based measurements (GHI, wind speed, temperature) with long-term SolarAnywhere time-series irradiance data. Using the overlapping period of ground measurements and SolarAnywhere satellite-derived data, SolarAnywhere analysts and engineers correct for observed clear sky bias and seasonal variation.

Cumulative distribution between the two datasets is further decreased through a goodness-of-fit test and dual sliding window corrections. These adjustments are applied across the entire historical SolarAnywhere GHI dataset, producing tuned time-series data from 1998–present for solar resource assessment and financing.

Customer Story

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“Our solar development team at Duke Energy needs bankable and reliable ground correlated data to reduce uncertainty in production estimates. We’ve found Clean Power Research’s SolarAnywhere tuning studies to be both reliable and helpful in reducing production uncertainty. Furthermore, Clean Power Research’s SolarAnywhere Tuning Studies have short lead times which allow us to bid competitively. We recommend this service to any solar developer looking to develop bankable and competitive projects.”

Joshua Simpson
Engineer 1 Solar Development, Duke Energy

GroundWork Renewables Partnership

GroundWork Renewables

High-quality MET station data is critical to the accuracy of site-adaptation studies as it is directly impacted by the accuracy of your ground measurements. This is why SolarAnywhere is proud to partner with GroundWork Renewables due to their gold-standard ground data program.

Contact GroundWork Renewables to obtain the highest quality ground solar data.

Partner Perk: Your site-adaptation study is automatically expedited (typically completed in 5 business days or less) when you use GroundWork as your on-site data source.

GroundWork technician maintaining meteorological station

Resources

Interested in learning more? Contact our team or explore these resources.

Up-to-date solar power information

Frequently Asked Questions

Additional questions? Visit our FAQ page for more answers to commonly asked questions or contact us.

What is a site-adaptation study?

A site-adaptation (ground-tuning) study is a service that utilizes both on-site measurements and long-history solar resource data to create a site-specific, long-term dataset with reduced yield assessment uncertainty.