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A Proposal for Typical Artificial Light Sources for the Characterization of Indoor Photovoltaic Applications

Author

Listed:
  • Ben Minnaert

    (Faculty of Engineering and Architecture, Ghent University, Valentin Vaerwyckweg 1, B-9000 Gent, Belgium)

  • Peter Veelaert

    (Faculty of Engineering and Architecture, Ghent University, Valentin Vaerwyckweg 1, B-9000 Gent, Belgium)

Abstract

There are currently no international norms which define a method for characterizing photovoltaic solar cells for indoor applications. The current standard test conditions are not relevant indoors. By performing efficiency simulations based on the quantum efficiency of typical solar cells and the light spectra of typical artificial light sources, we are able to propose the first step for developing a standard by determining which light sources are relevant for indoor PV characterization and which are not or are redundant. Our simulations lead us to conclude that indoor light sources can be divided into three different categories. For the characterization of photovoltaic solar cells in indoor environments, we propose that solar cells be measured under one light source from each group.

Suggested Citation

  • Ben Minnaert & Peter Veelaert, 2014. "A Proposal for Typical Artificial Light Sources for the Characterization of Indoor Photovoltaic Applications," Energies, MDPI, vol. 7(3), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:3:p:1500-1516:d:33984
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    Citations

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    Cited by:

    1. Jong-Chan Kim & Jun-Ho Huh & Jae-Sub Ko, 2020. "Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid," Sustainability, MDPI, vol. 12(9), pages 1-25, May.
    2. Fang, Juan & Wu, Handong & Liu, Taixiu & Zheng, Zhimei & Lei, Jing & Liu, Qibin & Jin, Hongguang, 2020. "Thermodynamic evaluation of a concentrated photochemical–photovoltaic–thermochemical (CP-PV-T) system in the full-spectrum solar energy utilization," Applied Energy, Elsevier, vol. 279(C).
    3. Qu, Wanjun & Hong, Hui & Li, Qiang & Xuan, Yimin, 2018. "Co-producing electricity and solar syngas by transmitting photovoltaics and solar thermochemical process," Applied Energy, Elsevier, vol. 217(C), pages 303-313.
    4. Roberto de Fazio & Donato Cafagna & Giorgio Marcuccio & Alessandro Minerba & Paolo Visconti, 2020. "A Multi-Source Harvesting System Applied to Sensor-Based Smart Garments for Monitoring Workers’ Bio-Physical Parameters in Harsh Environments," Energies, MDPI, vol. 13(9), pages 1-33, May.
    5. Qu, Wanjun & Xing, Xueli & Cao, Yali & Liu, Taixiu & Hong, Hui & Jin, Hongguang, 2020. "A concentrating solar power system integrated photovoltaic and mid-temperature solar thermochemical processes," Applied Energy, Elsevier, vol. 262(C).
    6. Sui, Jiyuan & Chen, Zhennan & Wang, Chen & Wang, Yueyang & Liu, Jianhong & Li, Wenjia, 2020. "Efficient hydrogen production from solar energy and fossil fuel via water-electrolysis and methane-steam-reforming hybridization," Applied Energy, Elsevier, vol. 276(C).
    7. Ewa Raj & Katarzyna Znajdek & Mateusz Dionizy & Przemysław Czarnecki & Przemysław Niedzielski & Łukasz Ruta & Zbigniew Lisik, 2022. "Artificial Sun—A Stand to Test New PVT Minimodules," Energies, MDPI, vol. 15(9), pages 1-11, May.
    8. Jie Wang & Mostafa R. A. Nabawy & Andrea Cioncolini & Alistair Revell, 2019. "Solar Panels as Tip Masses in Low Frequency Vibration Harvesters," Energies, MDPI, vol. 12(20), pages 1-20, October.
    9. Pallavi Bharadwaj & Vinod John, 2021. "High-Power Closed-Loop SMPC-Based Photovoltaic System Characterization under Varying Ambient Conditions," Energies, MDPI, vol. 14(17), pages 1-19, August.
    10. Bastien Politi & Alain Foucaran & Nicolas Camara, 2022. "Low-Cost Sensors for Indoor PV Energy Harvesting Estimation Based on Machine Learning," Energies, MDPI, vol. 15(3), pages 1-16, February.
    11. Fang, Juan & Dong, Hao & Huo, Hailong & Yi, Xiaoping & Wen, Zhi & Liu, Qibin & Liu, Xunliang, 2023. "Thermodynamic performance of solar full-spectrum electricity generation system integrating photovoltaic cell with thermally-regenerative ammonia battery," Applied Energy, Elsevier, vol. 332(C).
    12. Tang, Sanli & Hong, Hui & Jin, Hongguang & Xuan, Yimin, 2019. "A cascading solar hybrid system for co-producing electricity and solar syngas with nanofluid spectrum selector," Applied Energy, Elsevier, vol. 248(C), pages 231-240.

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