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Very high fluxes for concentrating photovoltaics: Considerations from simple experiments and modeling

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  • Vossier, Alexis
  • Chemisana, Daniel
  • Flamant, Gilles
  • Dollet, Alain

Abstract

Among commercial photovoltaic technologies, concentrating photovoltaics (CPV) has the highest solar energy-to-electricity conversion efficiency; however, CPV electricity costs are still higher than thin film or silicon PV costs, mainly because of the additional components needed (optics, tracker) and the very high price of III–V multi-junction solar cells. To date, most commercial CPV systems operated at maximum concentrations of about 500 suns; but even at this concentration level, multi-junction cells retain a significant contribution to the total cost of the system. Further increasing the concentration ratio seems an interesting route for decreasing CPV electricity costs since the efficiency of concentrator cells theoretically increases with increasing illumination levels whilst the part of the solar cells in the total system cost decreases.

Suggested Citation

  • Vossier, Alexis & Chemisana, Daniel & Flamant, Gilles & Dollet, Alain, 2012. "Very high fluxes for concentrating photovoltaics: Considerations from simple experiments and modeling," Renewable Energy, Elsevier, vol. 38(1), pages 31-39.
    • Handle: RePEc:eee:renene:v:38:y:2012:i:1:p:31-39
    DOI: 10.1016/j.renene.2011.06.036
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    References listed on IDEAS

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    1. Unknown, 2006. "Front Materials," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 21(3), pages 1-4.
    2. Unknown, 2006. "Front Materials," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 21(1), pages 1-4.
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    Cited by:

    1. Zhang, J.J. & Qu, Z.G. & Zhang, J.F., 2022. "Diode model of nonuniform irradiation treatment to predict multiscale solar-electrical conversion for the concentrating plasmonic photovoltaic system," Applied Energy, Elsevier, vol. 324(C).
    2. Fernández, Eduardo F. & Almonacid, Florencia & Garcia-Loureiro, Antonio J., 2015. "Multi-junction solar cells electrical characterization by neuronal networks under different irradiance, spectrum and cell temperature," Energy, Elsevier, vol. 90(P1), pages 846-856.
    3. Gulbakhar Dosymbetova & Saad Mekhilef & Ahmet Saymbetov & Madiyar Nurgaliyev & Ainur Kapparova & Sergey Manakov & Sayat Orynbassar & Nurzhigit Kuttybay & Yeldos Svanbayev & Isroil Yuldoshev & Batyrbek, 2022. "Modeling and Simulation of Silicon Solar Cells under Low Concentration Conditions," Energies, MDPI, vol. 15(24), pages 1-17, December.
    4. Siaw, Fei-Lu & Chong, Kok-Keong & Wong, Chee-Woon, 2014. "A comprehensive study of dense-array concentrator photovoltaic system using non-imaging planar concentrator," Renewable Energy, Elsevier, vol. 62(C), pages 542-555.
    5. Chemisana, D. & Lamnatou, Chr., 2014. "Photovoltaic-green roofs: An experimental evaluation of system performance," Applied Energy, Elsevier, vol. 119(C), pages 246-256.

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