Solargis Analyst: Solar energy analysis software

List of features

Data management

  • Import datasets
  • Manage data time zone
  • Save custom import templates
  • Organize and store databases
  • Dataset Calculator
  • Unit converter
  • Join and combine datasets
  • Data aggregation
  • Export datasets

 

Quality assessment

  • Time reference control
  • Automatic tests for irradiance and albedo
  • Automatic tests for meteorological parameters
  • Manual interactive flagging
  • Advanced interactive shading detection
  • Automatic tracker malfunction detection
  • Automatic post-filtering
  • Quality assessment report

 

Analysis

  • Analysis of time series
  • Heatmaps, histograms, CDFs
  • Statistics calculation: min, max, mean, percentiles, etc.
  • Data comparisons, scatterplots
  • Calculation of bias, RMSD, MAD, correlation coefficient, etc.

System requirements

Windows

  • Internet access: to *.sdat.solargis.com domain, during installation and runtime of the application
  • Required privileges: to execute installed software on client PC and access to Windows user home directory (especially Start menu folder)
  • RAM size: recommended is at least 8GB
  • Writable disk space: 4.25 GB of free space is required for the SDAT application itself. SSD recommended for better user experience.
  • Windows OS versions supported:
    • Windows 8
    • Windows 10
    • Windows 11

 

MAC

  • Internet access: to *.sdat.solargis.com domain, during installation and runtime of the application
  • RAM size: recommended is at least 8GB
  • Writable disk space: 2 GB of free space in ~ (aka. home folder) is required for the application itself.
  • MacOS versions: Catalina (10.15) or higher
  • Display resolution: Full HD (1920x1080) if not used display scaling.

 

Linux

  • Internet access: to *.sdat.solargis.com domain, during installation and runtime of the application
  • RAM size: recommended is at least 8GB
  • Writable disk space: 2 GB of free space in ~ (aka. home folder) is required for the application itself
  • Linux kernel 4.0+