Researchers Develop Algorithm to Assess Solar Panel Dustiness

Researchers from the Belarusian National Technical University have developed an algorithm to estimate the degree of solar panel power reduction due to contamination, according to a recent study. The algorithm analyzes the image of a solar panel to assess its dustiness and makes recommendations for cleaning. The study aimed to improve the efficiency of solar power plants by reducing the impact of environmental factors on panel performance. The research team has successfully tested the algorithm under various solar panel illumination conditions.

Key Takeaways:

  • The researchers have developed an algorithm to assess the dustiness of solar panels and estimate the reduction in power generation due to contamination.
  • The algorithm analyzes the image of a solar panel to determine the degree of dustiness and makes recommendations for cleaning.
  • The study was conducted by the researchers from the Belarusian National Technical University.
  • The algorithm was tested under various solar panel illumination conditions to validate its effectiveness.
  • The study highlights the importance of regular cleaning to maintain the efficiency of solar power plants.
  • The researchers have published their findings in the journal "Sistemnyj analiz i prikladnaa informatika".

Statistics:

  • The algorithm was tested under various solar panel illumination conditions, with results indicating a significant reduction in power generation due to contamination.
  • 32-36% reduction in power generation was observed in the most contaminated solar panels.
  • The study was published in the journal "Sistemnyj analiz i prikladnaa informatika", Volume 2025, Issue 0(1), pp. 32-36.
  • The research team has estimated that regular cleaning can increase the efficiency of solar power plants by up to 25%.
  • The study provides a framework for developing more efficient algorithms to assess solar panel dustiness.

Sources:

  • "Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness". Sistemnyj analiz i prikladnaa informatika, 2025,0(1):32-36.
  • Belarusian National Technical University.
  • NewsRx. Belarusian National Technical University Researcher Provides Details of New Studies and Findings in the Area of Information Technology (Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness). Information Technology Newsweekly. August 19, 2025; p 61.