SolarAnywhere® Data

Precise, bankable solar irradiance data

SolarAnywhere is the most trusted, accurate & validated solar resource dataset available

  • Reduce risk in selecting project locations and secure the best financing terms
  • Model long-term energy production and financial performance with confidence
  • Access the right dataset for your project–Typical GHI year, 20+ year historical time-series or ground-tuned data
SolarAnywhere FleetView Distributed PV Generation Data

Features

Accurate

The most accurate and up-to-date satellite-derived solar resource data.

Validated & Trusted

Extensively validated and trusted by hundreds of enterprise-class customers with 2,000+ monthly downloads.

Data On Demand

Flexible delivery options include on-demand data and API access, with full records available (1998 – current day).

Bankability

SolarAnywhere exceeds the standards of bankability.

Reduce Project Risk with SolarAnywhere Typical Year+ Data

SolarAnywhere Typical Year+ data offers the best-available native resolution (down to 1 km) to provide up to 100 times greater precision. Watch this short video to learn more.

Solar Data License Types

Typical year (TMY) data is ideal for obtaining an initial, high-level assessment of solar resource availability at a potential project site, and running energy simulations.

The Typical Year license gives you instant access to trusted solar resource data, ideal for prospecting through project engineering.

 

What is typical year?

Typical year is a year of hourly meteorological data for a specific location derived from years of historical time-series solar resource data. These data files are commonly used for solar resource availability assessments at potential project sites or running energy simulations to obtain P50 solar production estimates.

Typical Year Data

SolarAnywhere typical year data can be downloaded or requested as either a typical GHI year (TGY) or typical DNI year (TDY) file. These files contain a years’ worth of hourly observations (8760 hourly observations) selected with 100% weighting on either GHI or DNI. The files are generated for a specified location using the following two-step process:

    1. The long-term average monthly total irradiance is calculated for each month. The years considered in calculating the long-term averages is dependent upon the geographic data region:
    2. The actual months in the historic record with the monthly total irradiance values closest to the long-term averages calculated in step 1 are included in the TGY or TDY files.

The final TGY or TDY file will include 12 months of actual data from various years in the historical time series. For example, if January of 2010 has the monthly total irradiance closest to the long-term average monthly total irradiance for all Januarys as calculated in step 1, it will be included in the file. This is illustrated below.

Typical Year dataset

To learn more about Typical Year data, visit our customer support center.


SPECIFICATIONS

1 See SolarAnywhere Geographic Coverage Area for more details.
2 95% confidence interval annual MBE in North America. See SolarAnywhere Validation for more details.

The Typical Year+ license provides global access to all the same data fields and modeling capabilities as the base Typical Year license, but at the best native resolution available. This results in 100 times more unique data points as compared to the base license.

Typical Year+ is recommended for complex climates (e.g., coastal regions), technical sensitivity analysis, due diligence or anytime lower solar resource uncertainty is required.

 

What is typical year?

Typical year is a year of hourly meteorological data for a specific location derived from years of historical time-series solar resource data. These data files are commonly used for solar resource availability assessments at potential project sites or running energy simulations to obtain P50 solar production estimates.

Typical Year Data

SolarAnywhere typical year data can be downloaded or requested as either a typical GHI year (TGY) or typical DNI year (TDY) file. These files contain a years’ worth of hourly observations (8760 hourly observations) selected with 100% weighting on either GHI or DNI. The files are generated for a specified location using the following two-step process:

    1. The long-term average monthly total irradiance is calculated for each month. The years considered in calculating the long-term averages is dependent upon the geographic data region:
    2. The actual months in the historic record with the monthly total irradiance values closest to the long-term averages calculated in step 1 are included in the TGY or TDY files.

The final TGY or TDY file will include 12 months of actual data from various years in the historical time series. For example, if January of 2010 has the monthly total irradiance closest to the long-term average monthly total irradiance for all Januarys as calculated in step 1, it will be included in the file. This is illustrated below.

Typical Year dataset

To learn more about Typical Year data, visit our customer support center.


SPECIFICATIONS

1 See SolarAnywhere Geographic Coverage Area for more details.
2 95% confidence interval annual MBE in North America. See SolarAnywhere Validation for more details.

MOST BANKABLE

SolarAnywhere Sites offers accurate and comprehensive solar data for your project—the most bankable data for PV project financing and asset management.

SPECIFICATIONS

1 See SolarAnywhere Geographic Coverage Area for more details.
2 95% confidence interval annual MBE in North America. See SolarAnywhere Validation for more details.

NO-COST ACCESS AT SELECT LOCATIONS

Complete and current SolarAnywhere irradiance and weather data for select locations around the world at no cost.
  • Use high-fidelity data at no cost for research, model development, training and more
  • Experience on-demand access to complete and current solar data, including enhanced-resolution typical-year and time-series data updated through the trailing day
  • Take advantage of the latest SolarAnywhere advancements including bifacial PV modeling and high-resolution (30m) far-horizon shading to fine-time your PV modeling
  • Test the full range of data available for industry-leading solar resource assessment and asset management, including: probability of exceedance (PXX) data for weather risk assessment; precipitation and particulate matter data for modeling snow and soiling losses; and hindcast data to optimize plant operation for firm power delivery
  • Explore more than 30 global locations, each featuring a city landmark
  • Demo the SolarAnywhere web portal and download formats, give the SolarAnywhere API a try and explore integrations with third-party PV modeling tools
  • Commercial use not supported

SPECIFICATIONS

1 See SolarAnywhere Geographic Coverage Area for more details.
2 95% confidence interval annual MBE in North America. See SolarAnywhere Validation for more details.

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SolarAnywhere® has a longstanding reputation as a premier provider of solar resource data, so we naturally gravitated toward them when looking for a solution. My priority was data accuracy and consistency of the data, and SolarAnywhere offered both the accuracy I needed and consistency needed across a wide geography.

Burton P.
Senior Product Manager, Zeitview
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I’m proud of GivePower’s work creating access to sustainably created clean water. With SolarAnywhere®, we have the localized, accurate solar resource data we need to design, transport and build cost-effective Solar Water Farms in remote locations around the world. SolarAnywhere gives us peace of mind, and helps ensure our Solar Water Farms will be operable for years to come.

Theresa S.
Senior Engineering Manager, GivePower®
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Since 2017, SolarAnywhere® has proven instrumental in completion of ~400MW of DG and utility scale solar projects, and development of our 5GW portfolio. We’ve leveraged the API to develop internal site screening tools and automate many of our reporting and resource assessment processes. Clean Power Research’s quality and commitment to innovation puts it head and shoulders over other data providers in the space.

Michael M.
Sr. Director, Energy Assessment & Project Planning, National Grid Renewables
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Lightsource BP has worked with Clean Power Research for several years and relies on SolarAnywhere® Data for project evaluations and to support financing activities. The Clean Power Research® team is very supportive in providing answers to data reliability, and in correlation efforts with site-measured data to further improve accuracy.

Armando S.
Director of Engineering, LightSource BP
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We trust SolarAnywhere® Data because it’s a comprehensively validated satellite-based resource data set. With SolarAnywhere Data, we can prospect for new sites to our heart’s content. Additionally, we never spend time waiting for critical solar data because SolarAnywhere delivers data, on-demand, in under five minutes.

Andrew O.
CTO, Renewable Energy Systems

Ground Tuning Studies

Combine your ground-based measurements with SolarAnywhere® irradiance data to reduce the uncertainty of your solar resource assessments and increase project profitability.

SolarAnywhere Ground-Tuning Studies use an advanced site-adaptation methodology to tune long-term solar resource data to your ground-based measurements.

SolarAnywhere FleetView Distributed PV Generation Data
Up-to-date solar power information

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