Study on the Influence of Light Intensity on the Performance of Solar Cell

Li, Zhe; Yang, Juping; Dezfuli, Pouya Asareh Nejad

doi:10.1155/2021/6648739

Cited by 32 publications

(22 citation statements)

References 20 publications

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“…All of the solar cell alone signals were generated by directly measuring X‐rays, whereas most of the STFSC‐SS signals were generated by measuring scintillation. The results of the previous study showed that as the light intensity increased, the power generation efficiency of photovoltaic cells did not increase linearly but saturated 36 . Therefore, when a solar cell is exposed to a higher visible light intensity, the measurement efficiency of solar cell is decreased.…”

Section: Discussionmentioning

confidence: 91%

“…The results of the previous study showed that as the light intensity increased, the power generation efficiency of photovoltaic cells did not increase linearly but saturated. 36 Therefore,when a solar cell is exposed to a higher visible light intensity, the measurement efficiency of solar cell is decreased. This is estimated as the reason that the signal of STFSC-SS decreases as the dose rate increases while no significant difference between the signals measured using the solar cell and scintillator screen.…”

Section: Discussionmentioning

confidence: 99%

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Development of a dosimetry system for therapeutic X‐rays using a flexible amorphous silicon thin‐film solar cell with a scintillator screen

et al. 2022

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Purpose To evaluate the dosimetric characteristics and applications of a dosimetry system composed of a flexible amorphous silicon thin‐film solar cell and scintillator screen (STFSC‐SS) for therapeutic X‐rays. Methods The real‐time dosimetry system was composed of a flexible a‐Si thin‐film solar cell (0.2‐mm thick), a scintillator screen to increase its efficiency, and an electrometer to measure the generated charge. The dosimetric characteristics of the developed system were evaluated including its energy dependence, dose linearity, and angular dependence. Calibration factors for the signal measured by the system and absorbed dose‐to‐water were obtained by setting reference conditions. The application and correction accuracy of the developed system were evaluated by comparing the absorbed dose‐to‐water measured using a patient treatment beam with that measured using the ion chamber. Results The responses of STFSC‐SS to energy, field size, depth, and source‐to‐surface distance (SSD) were more dependent on measurement conditions than were the responses of the ion chamber, although the former dependence was due to the scintillator screen, not the solar cell. The signals of STFSC‐SS were also dependent on dose rate, while the responses of solar cell alone and scintillator screen were not dependent on dose rate. The scintillator screen reduced the output of solar cell at 6 and 15 MV by 0.60 and 0.55%, respectively. The different absorbed dose‐to‐water measured using STFSC‐SS for patient treatment beam differed by 0.4% compared to those measured using the ionization chamber. The uncertainties of the developed system for 6 and 15 MV photon beams were 1.8 and 1.7%, respectively, confirming the accuracy and applicability of this system. Conclusions The thin‐film solar cell‐based detector developed in this study can accurately measure absorbed dose‐to‐water. The increased signal resulting from the use of the scintillator screen is advantageous for measuring low doses and stable signal output. In addition, this system is flexible, making it applicable to curved surfaces, such as a patient's body, and is cost‐effective.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Development of a dosimetry system for therapeutic X‐rays using a flexible amorphous silicon thin‐film solar cell with a scintillator screen

et al. 2022

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“…When a solar cell is heated, the current, Isc, increases while the voltage, Voc, decreases. The voltage reductions faster than the current increases so the efficiency drives down [30]. The highest average total energy ANN's prediction value for 12 inputs is on March 2020 which is the value 51600000Wh while the lowest total of energy production is on November2020 which is 38560000Wh.Fig.…”

Section: A Mathematical Model Resultsmentioning

confidence: 99%

Prediction of Photovoltaic Daily Energy Production using Artificial Neural Network with Different Sets of Inputs

Salleh¹,

Nor²,

Jumaat³

et al. 2022

IJETAE

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Photovoltaic (PV) can be considered as one of the greatest known forms of renewable energy.Though, the output performance of PV systems is very dependent on environmental conditions such as the PV modules’ temperature, peak sun hours and others. Hence, the prediction of PV system’s daily energy output production is very significant. The research in this paper is regarding the prediction of daily energy production of a 405.72KWP PV system that has been installed on rooftop by using Artificial Neural Network (ANN). Then, the prediction from ANN intended compared with the result from the mathematical method as well with the real data value. This research also investigates the optimal ANN input configuration to obtain the best results closest to the real data value. It can be analysed from the results that ANN with 12 input configurations is the optimal configuration that to predict the PV output closer to the daily energy production to mathematical method. Moreover, there are different results with different sets of input in ANN as there are no specific to fix the number of inputs.

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“…The significant influence of the spectral splitting management on PV performance can be seen in this figure. The parts of the solar spectrum with shorter or longer wavelengths than visible light are not favorable for the PV cell [34]. These parts of the spectrum are converted into heat and decrease the performance of the PV.…”

Section: Resultsmentioning

confidence: 99%

An Experimental Study on Transient Response of a Hybrid Thermoelectric–Photovoltaic System with Beam Splitter

Mahmoudinezhad

Cotfas

et al. 2021

Energies

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In the current study, the electrical responses of a thermoelectric (TE) module and a photovoltaic (PV) cell are investigated in three different systems, namely, a PV-only system, TE-only system, and hybrid TE-PV system with a beam splitter (TE-PV-BS), under variable solar irradiations demonstrating partly cloudy weather conditions. To enhance the deployment of solar energy, a predesigned beam splitter combined with the amorphous silicon TE and PV system is used in the experiments. The impact of the spectral beam splitting technology on the conversion performance of the TE module and PV cell in the hybrid system is studied and compared to the performance of the TE-only and PV-only systems. The electrical output parameters of the TE module and PV cell are obtained for the studied systems, and they are discussed in detail. The results of this work show that the power generated by the PV cell has a stepwise fluctuation similar to the variation in the concentrated solar radiation. Affected by its heat capacity, the power variation is monotonous with the TE module. The results moreover indicate that there is more power generated by the PV cell in the TE-PV-BS hybrid system than by the PV-only system. In comparison, the TE-only system produces more power than the TE module in the hybrid system. Furthermore, the TE-PV-BS hybrid system generates higher and more stable electrical power than the TE-only and PV-only systems, showing a significant advantage of the spectrum management concept.

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Study on the Influence of Light Intensity on the Performance of Solar Cell

Cited by 32 publications

References 20 publications

Development of a dosimetry system for therapeutic X‐rays using a flexible amorphous silicon thin‐film solar cell with a scintillator screen

Development of a dosimetry system for therapeutic X‐rays using a flexible amorphous silicon thin‐film solar cell with a scintillator screen

Prediction of Photovoltaic Daily Energy Production using Artificial Neural Network with Different Sets of Inputs

An Experimental Study on Transient Response of a Hybrid Thermoelectric–Photovoltaic System with Beam Splitter

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