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Spectral effects on the energy yield of various photovoltaic technologies in Lima (Peru)

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  • Conde, Luis A.
  • Angulo, José R.
  • Sevillano-Bendezú, Miguel Á.
  • Nofuentes, Gustavo
  • Töfflinger, Jan A.
  • de la Casa, Juan

Abstract

This study presents for the first time the spectral impact on the performance of different photovoltaic (PV) technologies in Lima, Peru. We experimentally monitored the spectral distributions over one year (March 2019–February 2020). The average photon energy (APE) is calculated as a representative parameter to evaluate the spectral distributions. The spectral mismatch factor (MM) enables an estimation of the spectral gains of distinct PV technologies: amorphous silicon (a-Si), perovskite, cadmium telluride (CdTe), multicrystalline silicon (multi-Si), monocrystalline silicon (mono-Si) and copper indium gallium selenide with two distinct band-gaps (CIGS-1 and CIGS-2).

Suggested Citation

  • Conde, Luis A. & Angulo, José R. & Sevillano-Bendezú, Miguel Á. & Nofuentes, Gustavo & Töfflinger, Jan A. & de la Casa, Juan, 2021. "Spectral effects on the energy yield of various photovoltaic technologies in Lima (Peru)," Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221002838
    DOI: 10.1016/j.energy.2021.120034
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    References listed on IDEAS

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    1. Sirisamphanwong, Chattariya & Ketjoy, Nipon, 2012. "Impact of spectral irradiance distribution on the outdoor performance of photovoltaic system under Thai climatic conditions," Renewable Energy, Elsevier, vol. 38(1), pages 69-74.
    2. Chantana, Jakapan & Mano, Hiroyuki & Horio, Yuhei & Hishikawa, Yoshihiro & Minemoto, Takashi, 2017. "Spectral mismatch correction factor indicated by average photon energy for precise outdoor performance measurements of different-type photovoltaic modules," Renewable Energy, Elsevier, vol. 114(PB), pages 567-573.
    3. Irene Romero-Fiances & Emilio Muñoz-Cerón & Rafael Espinoza-Paredes & Gustavo Nofuentes & Juan De la Casa, 2019. "Analysis of the Performance of Various PV Module Technologies in Peru," Energies, MDPI, vol. 12(1), pages 1-19, January.
    4. García, R. & Torres-Ramírez, M. & Muñoz-Cerón, E. & de la Casa, J. & Aguilera, J., 2017. "Spectral characterization of the solar resource of a sunny inland site for flat plate and concentrating PV systems," Renewable Energy, Elsevier, vol. 101(C), pages 1169-1179.
    5. Chantana, Jakapan & Imai, Yurie & Kawano, Yu & Hishikawa, Yoshihiro & Nishioka, Kensuke & Minemoto, Takashi, 2020. "Impact of average photon energy on spectral gain and loss of various-type PV technologies at different locations," Renewable Energy, Elsevier, vol. 145(C), pages 1317-1324.
    6. Nofuentes, G. & García-Domingo, B. & Muñoz, J.V. & Chenlo, F., 2014. "Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution," Applied Energy, Elsevier, vol. 113(C), pages 302-309.
    7. Nofuentes, Gustavo & de la Casa, Juan & Solís-Alemán, Ernesto M. & Fernández, Eduardo F., 2017. "Spectral impact on PV performance in mid-latitude sunny inland sites: Experimental vs. modelled results," Energy, Elsevier, vol. 141(C), pages 1857-1868.
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    Cited by:

    1. Daxini, Rajiv & Wilson, Robin & Wu, Yupeng, 2023. "Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting," Energy, Elsevier, vol. 284(C).
    2. Kinsey, Geoffrey S. & Riedel-Lyngskær, Nicholas C. & Miguel, Alonso-Abella & Boyd, Matthew & Braga, Marília & Shou, Chunhui & Cordero, Raul R. & Duck, Benjamin C. & Fell, Christopher J. & Feron, Sarah, 2022. "Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide," Renewable Energy, Elsevier, vol. 196(C), pages 995-1016.

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