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<p>In response to the growing demand for sustainable energy solutions for electronic devices and Internet of Things (IoT) applications, this study explores the potential of harvesting ambient indoor lighting to power solar cells. The primary objective is to analyze how different indoor lighting sources and illumination intensities affect the performance parameters of polycrystalline silicon solar cells. A comprehensive evaluation was conducted using various indoor light sources, including incandescent bulbs, mercury vapor lamps, and four distinct LED types. The spectral characteristics and intensities of these sources were measured, followed by an assessment of their impact on the solar cell’s performance. Results revealed that polycrystalline silicon cells exhibit nonuniform spectral sensitivity, with increased sensitivity to yellow wavelengths and reduced sensitivity to blue wavelengths. A constant short circuit current of 200 µA was maintained across all experiments to ensure consistency during optimization. Voltage-current relationships were systematically investigated, and polynomial fits were used to describe power versus efficiency and efficiency versus voltage trends. Among tested sources, the 9&#xa0;W LED provided the highest fill factor of 0.54 and an efficiency of 10.53%. Consequently, only the 9&#xa0;W LED source was utilized to charge a rechargeable battery, monitoring the battery voltage at 10&#xa0;min intervals over an hour. These findings highlight the promising capability of indoor ambient lighting, especially LED sources, in powering solar cells efficiently, opening pathways for sustainable energy harvesting in indoor environments.</p>

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Influence of indoor lighting conditions on the efficiency of polycrystalline silicon PV cells

  • 期刊论文

  • 发表日期：

    2025年5月10日

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  • Mridula Chandola,
  • Sachin Tanwade,
  • Mahesh Dhonde,
  • Kirti Sahu

摘要

In response to the growing demand for sustainable energy solutions for electronic devices and Internet of Things (IoT) applications, this study explores the potential of harvesting ambient indoor lighting to power solar cells. The primary objective is to analyze how different indoor lighting sources and illumination intensities affect the performance parameters of polycrystalline silicon solar cells. A comprehensive evaluation was conducted using various indoor light sources, including incandescent bulbs, mercury vapor lamps, and four distinct LED types. The spectral characteristics and intensities of these sources were measured, followed by an assessment of their impact on the solar cell’s performance. Results revealed that polycrystalline silicon cells exhibit nonuniform spectral sensitivity, with increased sensitivity to yellow wavelengths and reduced sensitivity to blue wavelengths. A constant short circuit current of 200 µA was maintained across all experiments to ensure consistency during optimization. Voltage-current relationships were systematically investigated, and polynomial fits were used to describe power versus efficiency and efficiency versus voltage trends. Among tested sources, the 9 W LED provided the highest fill factor of 0.54 and an efficiency of 10.53%. Consequently, only the 9 W LED source was utilized to charge a rechargeable battery, monitoring the battery voltage at 10 min intervals over an hour. These findings highlight the promising capability of indoor ambient lighting, especially LED sources, in powering solar cells efficiently, opening pathways for sustainable energy harvesting in indoor environments.