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Impact of average photon energy on spectral gain and loss of various-type PV technologies at different locations

Author

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  • Chantana, Jakapan
  • Imai, Yurie
  • Kawano, Yu
  • Hishikawa, Yoshihiro
  • Nishioka, Kensuke
  • Minemoto, Takashi

Abstract

Spectral grain and loss (spectral gain&loss) of several-type PV technologies (amorphous silicon (a-Si), perovskite (perov), CdTe, CuInSe2 (CIS), multi-crystalline silicon (mc-Si), single-crystalline silicon back-contact (BC), single-crystalline silicon (sc-Si), and heterostructure-with-intrinsic-thin-layer (HIT)) was investigated in different places (Kusatsu city, Tsukuba city, and Miyazaki city in Japan) in a year. Spectral gain&loss is defined as a ratio of short-circuit current (ISC) corrected by solar irradiance (Irr) for PV module at an average photon energy (APE) to its ISC under standard test condition. The blue-rich spectra with APE over 1.88 eV yield spectral gain (spectral gain&loss over 1) for CdTe, perov, and a-Si PV technologies owing to large band-gap energy (Eg) values of 1.47, 1.60, and 1.80 eV, respectively. On the other hand, red-rich spectra with APE below 1.88 eV lead to spectral gain for CIS, mc-Si, BC, sc-Si, and HIT PV technologies with smaller Eg values of 1.21, 1.13, 1.17, 1.16, and 1.09 eV, respectively. Moreover, since average APE values in Kusatsu city, Tsukuba city, and Miyazaki city are 1.931, 1.900, and 1.899 eV, respectively, a-Si, perov, and CdTe PV technologies are suitable in term of spectral response. The spectral gain&loss of PV modules compared with sc-Si PV module is moreover discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:1317-1324
    DOI: 10.1016/j.renene.2019.06.139
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    Citations

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    Cited by:

    1. Fang, Hong & Wang, Xu & Song, Wenyan, 2020. "Technology selection for photovoltaic cell from sustainability perspective: An integrated approach," Renewable Energy, Elsevier, vol. 153(C), pages 1029-1041.
    2. Daxini, Rajiv & Sun, Yanyi & Wilson, Robin & Wu, Yupeng, 2022. "Direct spectral distribution characterisation using the Average Photon Energy for improved photovoltaic performance modelling," Renewable Energy, Elsevier, vol. 201(P1), pages 1176-1188.
    3. Ali, Hayder & Khan, Hassan Abbas, 2020. "Techno-economic evaluation of two 42 kWp polycrystalline-Si and CIS thin-film based PV rooftop systems in Pakistan," Renewable Energy, Elsevier, vol. 152(C), pages 347-357.
    4. 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).
    5. 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).
    6. Sharma, Manoj Kumar & Bhattacharya, Jishnu, 2022. "Dependence of spectral factor on angle of incidence for monocrystalline silicon based photovoltaic solar panel," Renewable Energy, Elsevier, vol. 184(C), pages 820-829.
    7. Neves, Luciano A. & Leite, Gabriel C. & MacKenzie, Roderick C.I. & Ferreira, Rafael A.M. & Porto, Matheus P., 2021. "A methodology to simulate solar cells electrical response using optical-electrical mathematical models and real solar spectra," Renewable Energy, Elsevier, vol. 164(C), pages 968-977.
    8. Neves, Guilherme & Vilela, Waldeir & Pereira, Enio & Yamasoe, Marcia & Nofuentes, Gustavo, 2021. "Spectral impact on PV in low-latitude sites: The case of southeastern Brazil," Renewable Energy, Elsevier, vol. 164(C), pages 1306-1319.
    9. Shen, Lu & Li, Zhenpeng & Ma, Tao, 2020. "Analysis of the power loss and quantification of the energy distribution in PV module," Applied Energy, Elsevier, vol. 260(C).

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