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Dependence of spectral factor on angle of incidence for monocrystalline silicon based photovoltaic solar panel

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  • Sharma, Manoj Kumar
  • Bhattacharya, Jishnu

Abstract

Three major factors lead to the deviation of actual power output of a photovoltaic (PV) panel from the rated value: irradiance, temperature and spectral factor. While the first two are well characterized, spectral factor remains less explored. Spectral factor depends on the spectral irradiance as well as the spectral response of the material. So far, normal irradiance is assumed for the estimation of the spectral factor which excludes one major factor, i.e. the angle of incidence (AOI). Here it is demonstrated that AOI has a strong effect on spectral factor due to multiple reasons. For a chosen PV material of monocrystalline Si, the AOI-dependence is obtained through the following parameters: reflectivity of a bare cell and a covered panel, the transmissivities of the cover system and the effective AOI on the PV cell after multiple refractions. When all these factors are incorporated in the estimation of spectral factor, a systematic underestimation (∼4.5%) is observed for the conventional method. Further the modified definition is tested for a chosen location of Kanpur, India for annual variations. Again a significant underestimation is noticed (∼3.5%), the value of which is expected to be higher for higher latitude locations due to greater obliquity of insolation.

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  • 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.
  • Handle: RePEc:eee:renene:v:184:y:2022:i:c:p:820-829
    DOI: 10.1016/j.renene.2021.12.019
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    References listed on IDEAS

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    1. Eke, R. & Betts, T.R. & Gottschalg, R.,, 2017. "Spectral irradiance effects on the outdoor performance of photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 429-434.
    2. 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.
    3. 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.
    4. Sharma, Manoj Kumar & Bhattacharya, Jishnu, 2020. "A novel stationary concentrator to enhance solar intensity with absorber-only single axis tracking," Renewable Energy, Elsevier, vol. 154(C), pages 976-985.
    5. Sharma, Manoj Kumar & Bhattacharya, Jishnu, 2021. "Deciding between concentrated and non-concentrated photovoltaic systems via direct comparison of experiment with opto-thermal computation," Renewable Energy, Elsevier, vol. 178(C), pages 1084-1096.
    6. Alonso-Abella, M. & Chenlo, F. & Nofuentes, G. & Torres-Ramírez, M., 2014. "Analysis of spectral effects on the energy yield of different PV (photovoltaic) technologies: The case of four specific sites," Energy, Elsevier, vol. 67(C), pages 435-443.
    7. Peng, Jinqing & Lu, Lin & Wang, Meng, 2019. "A new model to evaluate solar spectrum impacts on the short circuit current of solar photovoltaic modules," Energy, Elsevier, vol. 169(C), pages 29-37.
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