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Power performance of solar energy harvesting system under typical indoor light sources

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  • Yang, Chen
  • Xue, RuiPu
  • Li, Xu
  • Zhang, XiaoQing
  • Wu, ZhenYu

Abstract

Development of Internet of Thing requires the high efficiency indoor energy harvesting solution using photovoltaic cells. This study presents the experimental investigation of the power performance of the solar harvester using crystalline silicon (c-Si) and Cu(In, Ga)Se2 (CIGS) photovoltaic cells. Experimental studies include the optical environment setting, indoor source selection, the light source calibration and power measurements. The measured efficiencies of c-Si and CIGS cells are in the range of 1.5%–7.4% with strong source-dependency. Efficiencies of power conversion module varies in the range of 65%–75%. Furthermore, the efficiencies of solar cells and modules vary with the change of level of illuminance. Correction factors of cell efficiency and module efficiency are derived from experimental data. In general, c-Si and CIGS cells showed acceptable performance under wideband light source. However, their power outputs are limited under the various narrowband indoor light sources. Future development of the indoor-used photovoltaic cells may focus on the narrowband indoor light applications.

Suggested Citation

  • Yang, Chen & Xue, RuiPu & Li, Xu & Zhang, XiaoQing & Wu, ZhenYu, 2020. "Power performance of solar energy harvesting system under typical indoor light sources," Renewable Energy, Elsevier, vol. 161(C), pages 836-845.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:836-845
    DOI: 10.1016/j.renene.2020.06.088
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    1. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    2. Reich, N.H. & van Sark, W.G.J.H.M. & Turkenburg, W.C., 2011. "Charge yield potential of indoor-operated solar cells incorporated into Product Integrated Photovoltaic (PIPV)," Renewable Energy, Elsevier, vol. 36(2), pages 642-647.
    3. Korotkevich, Alexander O. & Galochkina, Zhanna S. & Lavrova, Olga & Coutsias, Evangelos A., 2015. "On the comparison of energy sources: Feasibility of radio frequency and ambient light harvesting," Renewable Energy, Elsevier, vol. 81(C), pages 804-807.
    4. Randall, J.F. & Jacot, J., 2003. "Is AM1.5 applicable in practice? Modelling eight photovoltaic materials with respect to light intensity and two spectra," Renewable Energy, Elsevier, vol. 28(12), pages 1851-1864.
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