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A new solar irradiance database for Chile offers high-resolution, validated data crucial for advancing the nation's solar energy sector. This resource supports the financing and design of solar installations across diverse Chilean climates.

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Area of Science:

  • Renewable Energy
  • Atmospheric Science
  • Geophysics

Background:

  • Chile possesses exceptional solar resources, driving a growing solar energy industry.
  • High-resolution solar irradiance data is essential for effective solar installation financing and design.
  • Chile's varied geography presents diverse "solar climates," ideal for developing irradiance maps.

Purpose of the Study:

  • To present a novel, high-resolution public database of surface solar irradiance for continental Chile.
  • To provide hourly irradiance data from 2004 to 2016 at 90m resolution.
  • To establish a reliable resource for solar energy applications.

Main Methods:

  • Utilized global reanalysis data to drive a radiative transfer model for clear-sky irradiance.
  • Employed an empirical model based on geostationary satellite data for cloudy conditions.
  • Validated results against 140 surface solar irradiance stations nationwide.

Main Results:

  • Developed a public database with hourly solar irradiance data (2004-2016) at 90m resolution.
  • Achieved a low model mean percentage error of only 0.73% for hourly global horizontal irradiance.
  • Demonstrated high accuracy across both clear and cloudy conditions.

Conclusions:

  • The developed solar irradiance model is simple, accurate, and validated.
  • The database provides crucial data for Chile's solar energy sector development.
  • The model's success suggests potential for generalization to other global regions.