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
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.
Build a custom solution with the SolarAnywhere® API
Powerful, flexible and secure: processing >10 million API calls per month.
Solar Data License Types
MOST POPULAR
Ideal for obtaining an initial, high-level assessment of solar resource availability at a potential project site, and running energy simulations
The Typical Year subscription gives you instant access to trusted solar resource data, ideal for prospecting through project engineering.
- Long-term average solar weather files (25+ years) from the most trusted source in the industry. Explore our validation methodology to learn how we calculate Typical Year
- Standard resolution (10 km, hourly) everywhere we have coverage around the world
- Easy-to-use web portal including on-demand access for any number of users at your company
- Take advantage of bifacial PV modeling and high-resolution (30m) far-horizon shading to fine-tune your PV modeling
- Easy access to (12 x 1) average snow losses, soiling losses and surface albedo for input into third-party PV modeling tools
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:
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- 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:
- 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 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:
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.
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
- Full historical time series; compare to measured data for resource assessment and performance analysis
- Keep your analysis up to date—each site license includes 1 year of access to the latest data and an on-demand renewal option at reduced operational pricing
- Improve accuracy in complex terrain with enhanced resolution (1 km, 15 min.) data
- Characterize interannual variability with unlimited probability-of-exceedance SolarAnywhere PXX Data downloads
- Refine loss estimates and quantify extreme weather risk with snow losses, precipitation and particulate matter data
- Take advantage of bifacial PV modeling and high-resolution (30m) far-horizon shading to fine-tune your PV modeling
- Evaluate how solar forecasts can improve dispatch algorithms and optimize your PV plant design to deliver firm power with hindcast data
- Assess clipping losses and ramp rates with High-resolution Data with True Dynamics™ (TD), available as an on-demand upgrade (Continental U.S. only)
- Easy access to (12 x 1) average snow losses, soiling losses and surface albedo for input into third-party PV modeling tools
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.
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 Data Resources
Blog
Case study: BayWA r.e. reduces OPEX by transitioning from aging and obsolete instrumentation to SolarAnywhere®
BayWa r.e. Operations Services LLC provides O&M services for a fleet of ~1 GW of renewable energy assets, both owned by BayWa r.e. and assets of other clients. Services include a real-time comparison of actual to expected, weather-adjusted energy output. This...
Case study: Zeitview ensures advanced energy system inspection quality with SolarAnywhere®
Zeitview (formerly known as DroneBase) is an innovator in the field of aerial energy system inspections. They recently launched North American Solar Scan, a service that provides insight into every solar asset in the U.S. above 1MW. Zeitview utilizes planes and drones...
Case study: Invenergy Services drives operational excellence with SolarAnywhere®
On-site meteorological stations and site-specific satellite data work together in this case study featuring Invenergy Services. Invenergy Services is a clean energy asset O&M provider that has honed its offerings through 20 years of experience and a portfolio of...
Reduce solar power forecast uncertainty with SolarAnywhere® Forecast
Solar forecasting solutions for the diverse needs of the solar power industry and utilities. SolarAnywhere Forecast is the solar industry’s leading irradiance forecast paired with trusted PV simulation.