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Updated: May 12, 2026

In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for Cu(In,Ga)Se2 Solar Cells
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The development of sun-tracking system using image processing.

Cheng-Dar Lee1, Hong-Cheng Huang, Hong-Yih Yeh

  • 1High Concentration Photovoltaic R&D Project, Institute of Nuclear Energy Research, Taoyuan 32546, Taiwan. cdlee@iner.gov.tw

Sensors (Basel, Switzerland)
|April 26, 2013
PubMed
Summary
This summary is machine-generated.

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This study introduces an image-based sun position sensor and algorithm, enhancing solar tracking accuracy to 0.04° even in cloudy conditions. This overcomes limitations of older sensors for precise solar energy applications.

Area of Science:

  • Engineering
  • Optics
  • Computer Science

Background:

  • Traditional sun position sensors (four-quadrant light sensors, bar-shadow photo sensors) lack accuracy under low irradiation.
  • Previous methods struggle with unstable tracking during adverse weather conditions like cloud cover.

Purpose of the Study:

  • To develop and validate an image-based sun position sensor system with advanced image processing algorithms.
  • To achieve precise solar aiming capabilities, overcoming limitations of existing technologies.

Main Methods:

  • Development of an image-based sun position sensor.
  • Implementation of an image processing algorithm for precise sun aiming.
  • Establishment of a sun image tracking platform for laboratory performance testing.

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Last Updated: May 12, 2026

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Published on: October 3, 2018

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Main Results:

  • The developed system demonstrates the capability to overcome unstable tracking issues in cloudy weather.
  • Achieved a high tracking accuracy of 0.04° in laboratory tests.
  • Validated the effectiveness of the image-based sensor and processing algorithm.

Conclusions:

  • The image-based sun position sensor offers a significant improvement over traditional methods, especially in challenging lighting conditions.
  • The developed algorithm and system provide a robust solution for precise solar tracking.
  • This technology holds promise for enhancing the efficiency and reliability of solar energy systems.