Gain confidence in your solar project development and financing. Vaisala's solar resource assessments provide the most reliable record of long-term solar resource intensity and variability, particularly when on-site observations are integrated into the analysis.
Portable Document File (PDF) report and data files in an easily integrated, comma-separated value (CSV) format.
Vaisala's Solar Resource Assessments offer the most accurate long-term estimates of solar resource intensity and variability. When local measurements are available we significantly reduce the uncertainty of these estimates and increase your confidence in project performance by putting site observations into a long-term, historical context.
With experience delivering nearly 1000 assessments across 6 continents, Vaisala can provide custom reports for large-scale solar projects anywhere in the world. Our analysis includes nearly two decades of hourly time series data derived using state-of-the-art satellite modeling techniques from the 3TIER Services dataset. Each report also provides a wealth of information on the key variables of GHI (Global Horizontal Irradiance), DNI (Direct Normal Irradiance), and DIF (Diffuse Horizontal Irradiance) and their long-term variability at your site.
Our Solar Resource Assessments describe the long-term spatial and temporal characteristics of the solar resource at your location. Our team of experts choose from our 5 available algorithms to pick the solar resource data that best represents your location as compared to our extensive network of observations. The weather information provided is derived from a downscaled reanalysis dataset such as NNRP or MERRA2.
By integrating on-site observations using advanced statistical techniques, Vaisala significantly reduces error and bias and offers the most accurate assessment of your project's solar resources. In addition, we deliver long-term, hourly wind and temperature data, which can have a substantial impact on power production. This depth of information enables you to perform detailed site design, long-term financial modeling, and seek critical funding for your project. Our reports also include uncertainty and probability analysis as well as the 1-year and 10-year exceedance values typically required by financing institutions.
Global Solar Dataset
Vaisala produced the first global solar irradiance map and time series dataset at roughly three times the resolution of previous U.S. solar datasets and at thirty times the resolution of global datasets available from NASA. Based on over a decade of satellite imagery and cutting-edge technology, our uniform methodology is supported by a large scientific and research community and results in a consistent map and dataset, enabling more accurate point-to-point comparisons.
The dataset is based on actual, half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. These data have been processed to hourly GHI, DNI, and DIF values. Vaisala processes the satellite images based on a combination of in-house research and algorithms published in peer-reviewed scientific literature. These algorithms contain parameters and coefficients that are based on empirical fits to observational data. The specific satellites and length of time varies slightly by region due to differences in the availability of satellite data from region to region. See the chart below for more details.
Regions - Satellite - Temporal Coverage
Western Hemisphere GOES 8 - 14 January 1997 - last month
South Asia & Middle East Meteosat 5, Meteosat 7 January 1999 - last month
East Asia & Oceania GMS 5, GOES 9, MTSAT 1-2, Himari-8 December 1998 - last month
Europe & Africa Meteosat 7, Meteosat 9-10 July 1998 - last month
To develop and validate our model, Vaisala used observations from:
- Baseline Surface Radiation Networks
- National Solar Radiation Database
- Bureau of Meteorology (Australia)
- National Institute of Water and Atmospheric Research (New Zealand)
- Indian Meteorology Department
- NREL Annex II
- Linke Turbidity Database from Ecole des Mines de Paris
- National Snow and Ice Data Center (high-resolution snow dataset)
- MODIS Aerosol Optical Depth and Water Vapor Datasets
Features • Temporal analysis of GHI, DNI, and DIF as well as time series data files • Temporal analysis of wind speed and temperature as well as time series data files • Uncertainty analysis • Exceedance probability table • Validation of statistically-corrected irradiance time series compared to observations • Spatial resolution of 2 arc minutes (approximately 3km) • Based on over a decade of satellite data with continual updates • Techniques validated and developed using widely recognized datasets worldwide • Available globally
• Long-term analysis customized to your location • As a leading innovator in atmospheric sciences, Vaisala offers custom reports for assessing large-scale solar projects anywhere in the world. Our analysis includes nearly two decades of hourly time series data derived using state-of-the-art satellite modeling techniques. When surface observations are available, this information is used to fine-tune our long-term records to the specific environmental context of your site for enhanced precision. Each report also provides a wealth of information on the key variables of GHI (Global Horizontal Irradiance), DNI (Direct Normal Irradiance), DIF (Diffuse Horizontal Irradiance), wind speed, and temperature and their long-term variability at your location.
• Secure project financing • Vaisala has helped set the gold standard for solar resource assessment. We pioneered the integration of on-site observations with long-term satellite-derived solar resource records using advanced statistical techniques. Our approach significantly reduces error and bias and offers the most accurate assessment of your project’s solar resources. Other key meteorological variables, such as wind speed and temperature, are also evaluated since they can have a substantial impact on the long-term production potential of your project. This depth of information enables you to perform detailed site design, long-term financial modeling, and seek critical funding for your project. Our reports also include uncertainty and probability analysis as well as the 1-year and 10-year exceedance values typically required by financing institutions.
• Make more informed decisions with a consistent approach • As a single assessment provider with global capabilities, Vaisala allows you to make more informed decisions whether you are developing projects in California or Rajasthan. Our reports are based on a global, high-resolution solar irradiance dataset and a uniform methodology. Now you can make accurate site-to-site comparisons and gain a clearer picture of the risks and opportunities for every potential site in your portfolio.