Analyzing S-Shaped I–V characteristics of solar cells by solving three-diode lumped-parameter equivalent circuit model explicitly

Huang, Gongyi; Liang, Ying; Sun, Xiaohong; Xu, Chuanlong; Yu, Fangyong

doi:10.1016/j.energy.2020.118702

Cited by 9 publications

(8 citation statements)

References 33 publications

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“…However, it tends to decrease (in absolute value) with C ratio up to 2000 suns, and then starts increasing at higher C ratios . This could be explained by the reduction of FF at reference temperature conditions for C ratio > 2000 suns, as is evident from Figure 8 (c) and Equation (30), as well as from the approximations carried out in Equation (25). Regarding the temperature coefficient of η, the absolute value of V OC also tends to decrease with C ratio , ranging from −0.18 %/K at 1000 suns to −0.16 %/K at 10,000 suns.…”

Section: 𝜕Tmentioning

confidence: 77%

“…This allows for robust and trustable results to be obtained. However, the development of analytical I-V models, representative of the physics of the cells, is crucial for simulating the electrical characteristics of the device under real operating conditions and for performing long-term annual analysis tailored to investigate the potential of the device and its application to real UHCPV modules [29,30]. Further, this is also key to overcoming the high computational demand of TCAD software, and therefore, to better understanding the performance of the device and possible limitations.…”

Section: Introductionmentioning

confidence: 99%

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Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Outes

Fernández

Seoane

et al. 2022

IET Renewable Power Gen

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Modelling the current-voltage (I-V) characteristics of photovoltaic (PV) devices is important for understanding their behaviour and potential. Typically, the single exponential model (SEM) is used because of its simplicity and accuracy. In this work, we validate the SEM for a gallium arsenide (GaAs) vertical-tunnel-junction (VTJ) using TCAD software. This cell is the key to overcoming the series resistance limitations of current concentrator solar cells, which can lead to the development of ultra-high concentrator photovoltaic systems (UHCPV) with concentrations (C ratio ) greater than 1000 suns. The results indicate that the SEM is a suitable tool to model the I-V characteristics of the VTJ cell with mean errors lower than 1%. Moreover, the solar cell did not show any limitations regarding the C ratio and temperatures under investigation. In addition, the analysis of the temperature coefficients of the cell demonstrates that their dependency on temperature reduces as C ratio increases. The results of this work suggest that VTJ is a promising solution to produce a new generation of high-efficiency and low-cost UHCPV systems.

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Section: 𝜕Tmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Outes

Fernández

Seoane

et al. 2022

IET Renewable Power Gen

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“…The comparison between analytical and metaheuristic algorithms is achieved using different statistical error tests, such as absolute error (AE) Equation ( 4), the root mean square error Equation (5), and the coefficient of determination R 2 Equation (6).…”

Section: Statistical Testmentioning

confidence: 99%

“…The most commonly used mathematical model to characterize the photovoltaic cells and panels is the single diode model (SD) [1], followed by the double diode model (DD) [5] and rarely three diode model (TD) [6]. The number of the parameters which have to be extracted varies, being five for SD, seven for DD, and nine for TD.…”

Section: Introductionmentioning

confidence: 99%

Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters

Cotfas

Oproiu

et al. 2021

International Journal of Photoenergy

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The parameters of the photovoltaic cells and panels are very important to forecast the power generated. There are a lot of methods to extract the parameters using analytical, metaheuristic, and hybrid algorithms. The comparison between the widely used analytical method and some of the best metaheuristic algorithms from the algorithm families is made for datasets from the specialized literature, using the following statistical tests: absolute error, root mean square error, and the coefficient of determination. The equivalent circuit and mathematical model considered is the single diode model. The result comparison shows that the metaheuristic algorithms have the best performance in almost all cases, and only for the genetic algorithm, there are poorer results for one chosen photovoltaic cell. The parameters of the photovoltaic cells and panels and also the current-voltage characteristic for real outdoor weather conditions are forecasted using the parameters calculated with the best method: one for analytical—the five-parameter analytical method—and one for the metaheuristic algorithms—hybrid successive discretization algorithm. Additionally, the genetic algorithm is used. The forecast current-voltage characteristic is compared with the one measured in real sunlight conditions, and the best results are obtained in the case of a hybrid successive discretization algorithm. The maximum power forecast using the calculated parameters with the five-parameter method is the best, and the error in comparison with the measured ones is 0.48%.

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“…These models play a fundamental role in predicting solar cell performance and in the optimization of their design to enhance efficiency. In the context of solar cells, numerical simulation and electrical models are thus indispensable resources for exploring new materials and technologies [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the degradation behavior of small-molecule solar cells based on p-DTS(FBTTh₂)₂ as the donor material

Lastra,

Reséndiz,

Ramírez-Como

et al. 2024

Mater. Res. Express

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The use of organic solar cells (OSCs), particularly those based on small-molecule materials, has gained recognition as being promising in photovoltaic applications. However, despite notable advances, persistent challenges in relation to the long-term stability and energy-conversion efficiency of these materials continue to pose significant obstacles to their widespread adoption. The aim of this study was to enhance the efficiency and durability of such cells under ambient conditions. To elucidate whether cells with small-molecule donor materials provide higher benefits and opportunities than cells with polymer donor materials, this study compares the electrical parameters of cells with both types of donor materials. OSCs based on 7,7′-(4,4-bis(2-ethylhexyl)-4H-silolo[3,2-b:4,5-b′]dithiophene-2,6-diyl)bis(6-fluoro-4-(5′-hexyl-[2,2′-bithiophene]-5-yl)benzo[c][1,2,5]thiadiazole): [6,6]-Phenyl C71 butyric acid methyl ester (p-DTS(FBTTh2)2:PC70BM) and Poly [[4,8-bis[(2-ethylhexyl)oxy]benzo[1,2-b:4,5-b']dithiophene-2,6-diyl][3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3,4-b]thiophenediyl]]: [6,6]-Phenyl C71 butyric acid methyl ester (PTB7:PC70BM) were manufactured and their electrical characteristics under ambient conditions determined after various time intervals. Numerical simulations based on the metal–insulator–metal (MIM) model were then performed to optimize the performance of the cells and to analyze their internal electrical dynamics in detail. The findings of this study reveal a direct relationship between solar cell degradation and the anode interface, thus enhancing understanding of the degradation mechanisms that occur in OSCs.

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Analyzing S-Shaped I–V characteristics of solar cells by solving three-diode lumped-parameter equivalent circuit model explicitly

Cited by 9 publications

References 33 publications

Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters

Simulation of the degradation behavior of small-molecule solar cells based on p-DTS(FBTTh₂)₂ as the donor material

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Analyzing S-Shaped I–V characteristics of solar cells by solving three-diode lumped-parameter equivalent circuit model explicitly

Cited by 9 publications

References 33 publications

Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Dependence of the vertical‐tunnel‐junction GaAs solar cell on concentration and temperature

Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters

Simulation of the degradation behavior of small-molecule solar cells based on p-DTS(FBTTh2)2 as the donor material

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Product

Resources

About

Simulation of the degradation behavior of small-molecule solar cells based on p-DTS(FBTTh₂)₂ as the donor material