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Article

Accurate Output Forecasting Method for Various Photovoltaic Modules Considering Incident Angle and Spectral Change Owing to Atmospheric Parameters and Cloud Conditions

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Faculty of Engineering, University of Miyazaki, Miyazaki 889-2192, Japan
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Organization for Promotion of Tenure Track, University of Miyazaki, Miyazaki 889-2192, Japan
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Toyota Technological Institute, Nagoya 468-8511, Japan
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Sharp Corporation, Yamatokoriyama, Nara 639-1186, Japan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(2), 703; https://doi.org/10.3390/app10020703
Received: 11 December 2019 / Revised: 16 January 2020 / Accepted: 16 January 2020 / Published: 19 January 2020
(This article belongs to the Special Issue Solar Radiation: Measurements and Modelling, Effects and Applications)
Because semiconductors absorb wavelengths dependent on the light absorption coefficient, photovoltaic (PV) energy output is affected by the solar spectrum. Therefore, it is necessary to consider the solar spectrum for highly accurate PV output estimation. Bird’s model has been used as a general spectral model. However, atmospheric parameters such as aerosol optical depth and precipitable water have a constant value in the model that only applies to clear days. In this study, atmospheric parameters were extracted using the Bird’s spectrum model from the measured global spectrum and the seasonal fluctuation of atmospheric parameters was examined. We propose an overcast spectrum model and calculate the all-weather solar spectrum from clear to overcast sky through linear combination. Three types of PV modules (fixed Si, two-axis tracking Si, and fixed InGaP/GaAs/InGaAs triple-junction solar cells) were installed at the University of Miyazaki. The estimated performance ratio (PR), which takes into account incident angle and spectral variations, was consistent with the measured PR. Finally, the energy yield of various PVs installed across Japan was successfully estimated. View Full-Text
Keywords: photovoltaic; energy yield; output forecasting; aerosol optical depth; precipitable water; incident angle photovoltaic; energy yield; output forecasting; aerosol optical depth; precipitable water; incident angle
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MDPI and ACS Style

Tawa, H.; Saiki, H.; Ota, Y.; Araki, K.; Takamoto, T.; Nishioka, K. Accurate Output Forecasting Method for Various Photovoltaic Modules Considering Incident Angle and Spectral Change Owing to Atmospheric Parameters and Cloud Conditions. Appl. Sci. 2020, 10, 703. https://doi.org/10.3390/app10020703

AMA Style

Tawa H, Saiki H, Ota Y, Araki K, Takamoto T, Nishioka K. Accurate Output Forecasting Method for Various Photovoltaic Modules Considering Incident Angle and Spectral Change Owing to Atmospheric Parameters and Cloud Conditions. Applied Sciences. 2020; 10(2):703. https://doi.org/10.3390/app10020703

Chicago/Turabian Style

Tawa, Hiroki, Hiromu Saiki, Yasuyuki Ota, Kenji Araki, Tatsuya Takamoto, and Kensuke Nishioka. 2020. "Accurate Output Forecasting Method for Various Photovoltaic Modules Considering Incident Angle and Spectral Change Owing to Atmospheric Parameters and Cloud Conditions" Applied Sciences 10, no. 2: 703. https://doi.org/10.3390/app10020703

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