Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions

Raising the efficiency of triple-junction cells such as (GaInP/GaInAs/Ge) is an important goal for designing high-concentration photovoltaic systems. This purpose can be achieved by facing cell obstacles and acting on their configurations to sustain under highly concentrated sunlight and high operat...

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Main Authors: Olfa Bel Hadj Brahim Kechiche, Habib Sammouda
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/17/23/5943
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author Olfa Bel Hadj Brahim Kechiche
Habib Sammouda
author_facet Olfa Bel Hadj Brahim Kechiche
Habib Sammouda
author_sort Olfa Bel Hadj Brahim Kechiche
collection DOAJ
description Raising the efficiency of triple-junction cells such as (GaInP/GaInAs/Ge) is an important goal for designing high-concentration photovoltaic systems. This purpose can be achieved by facing cell obstacles and acting on their configurations to sustain under highly concentrated sunlight and high operating temperatures. In this paper, a prediction performance study of triple-junction solar cells with four types of structures is proposed under variable conditions. The results show that the series structure is well-validated with experimental data under standard test conditions and is presented against those under variable conditions. Then, the triple-junction cells are compared and discussed in terms of photovoltaic cell open circuit voltage, photovoltaic cell electrical efficiency, fill factor, and temperature coefficients. Consequently, the results show that the cells can be separated into two categories that are useful for Low Concentration Systems and High Concentration Systems. The Low Concentration Systems present high efficiency at 20 suns. For the High Concentration Systems, the Hybrid 2 type demonstrates an optimal efficiency of 38.48% at 118 suns with a high <i>FF</i> (0.873) and shows a lower temperature coefficient than the series type. So, Hybrid 2 presents a good candidate for high-concentration systems with a performance better than the conventional triple-junction cells.
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series Energies
spelling doaj-art-8b738e31cfb749fda49c39e703119ca12024-12-13T16:25:29ZengMDPI AGEnergies1996-10732024-11-011723594310.3390/en17235943Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable ConditionsOlfa Bel Hadj Brahim Kechiche0Habib Sammouda1Laboratory of Energies and Materials (LR11ES34), University of Sousse, ESSTHSousse, Rue Abbassi Lamine, Hammam Sousse 4011, TunisiaLaboratory of Energies and Materials (LR11ES34), University of Sousse, ESSTHSousse, Rue Abbassi Lamine, Hammam Sousse 4011, TunisiaRaising the efficiency of triple-junction cells such as (GaInP/GaInAs/Ge) is an important goal for designing high-concentration photovoltaic systems. This purpose can be achieved by facing cell obstacles and acting on their configurations to sustain under highly concentrated sunlight and high operating temperatures. In this paper, a prediction performance study of triple-junction solar cells with four types of structures is proposed under variable conditions. The results show that the series structure is well-validated with experimental data under standard test conditions and is presented against those under variable conditions. Then, the triple-junction cells are compared and discussed in terms of photovoltaic cell open circuit voltage, photovoltaic cell electrical efficiency, fill factor, and temperature coefficients. Consequently, the results show that the cells can be separated into two categories that are useful for Low Concentration Systems and High Concentration Systems. The Low Concentration Systems present high efficiency at 20 suns. For the High Concentration Systems, the Hybrid 2 type demonstrates an optimal efficiency of 38.48% at 118 suns with a high <i>FF</i> (0.873) and shows a lower temperature coefficient than the series type. So, Hybrid 2 presents a good candidate for high-concentration systems with a performance better than the conventional triple-junction cells.https://www.mdpi.com/1996-1073/17/23/5943single diodedouble diodetriple-junction cell (TJC)structurevariable conditionsperformance
spellingShingle Olfa Bel Hadj Brahim Kechiche
Habib Sammouda
Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
Energies
single diode
double diode
triple-junction cell (TJC)
structure
variable conditions
performance
title Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
title_full Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
title_fullStr Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
title_full_unstemmed Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
title_short Advanced Performance Prediction of Triple-Junction Solar Cell Structures Using MATLAB/Simulink Under Variable Conditions
title_sort advanced performance prediction of triple junction solar cell structures using matlab simulink under variable conditions
topic single diode
double diode
triple-junction cell (TJC)
structure
variable conditions
performance
url https://www.mdpi.com/1996-1073/17/23/5943
work_keys_str_mv AT olfabelhadjbrahimkechiche advancedperformancepredictionoftriplejunctionsolarcellstructuresusingmatlabsimulinkundervariableconditions
AT habibsammouda advancedperformancepredictionoftriplejunctionsolarcellstructuresusingmatlabsimulinkundervariableconditions