Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies

Montes‐Romero, Jesús; Almonacid, Florencia; Theristis, Marios; Casa, J. de la; Georghiou, George E.; Férnández, Eduardo F.

doi:10.1016/j.solener.2017.12.011

Cited by 16 publications

(9 citation statements)

References 63 publications

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“…This parameter shows a similar linear tendency as I 0 , with values ranging from 2.03 to 2.33 at 298 K and from 2.09 to 2.47 at 423 K. Similar to I 0 , the ideality factor is also related to the number of carriers and recombination rates, which could also explain their similar behaviour. This has been experimentally demonstrated by the authors in previous works concerning MJ‐based CPV systems [40, 33], and by other authors focused on the investigation of the SEM parameters of standard MJ cells [50]. However, it is widely assumed by the community that the ideality factor should be closer to the radiative limit, that is, m = 1 per PN junction, as the C ratio increases [41, 52], and [53].…”

Section: Impact Of Concentration and Temperature On The Parametersmentioning

confidence: 83%

“…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. Thus, the single exponential model (SEM) and the double exponential model have been studied for all PV technologies for decades [31][32][33][34][35]. The SEM, which is the most widely used, relates the I-V curve of a PV device with five characteristic parameters.…”

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: Impact Of Concentration and Temperature On The Parametersmentioning

confidence: 83%

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

Self Cite

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“…-Aluminium Back Surface Field (AL-BSF) Existen múltiples métodos de extracción de parámetros, por la afinidad del grupo de la PUCP con el grupo IDEA de la Universidad de Jaén, esta investigación se centró en los métodos analíticos de Khan et al [5] y Phang et al [6] que fueron investigados por Montes-Romero et al [7] y Fernández et al [8]. Ambos métodos fueron formulados para extraer los parámetros eléctricos de módulos de silicio policristalino utilizando puntos característicos de la curva IV experimental.…”

Section: Las Tecnologías De Película Delgada Bajo Estudio Fueronunclassified

Estudio de los métodos analíticos para la extracción de parámetros eléctricos de módulos fotovoltaicos de capas delgadas

Ibañez

Sevillano-Bendezú

Romero

et al. 2020

TEC

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Para conocer la eficiencia real de un panel y poder predecir su potencia y producción energética es necesario estudiar su comportamiento y caracterizarlo a las condiciones reales del lugar en el que está instalado. El modelo de un solo diodo para celdas fotovoltaicas (FV) relaciona la corriente y el voltaje del módulo FV mediante cinco parámetros eléctricos que nos dan información fundamental acerca de los procesos físicos que tienen lugar en las celdas FV y del estado del módulo. Actualmente, existen diversos métodos analíticos, numéricos y heurísticos para extraer los parámetros del modelo, cada uno con ventajas y desventajas que dependen del tipo de módulo y de las condiciones ambientales. Se realizó un estudio de métodos de extracción analíticos que se usan actualmente para módulos FV de silicio cristalino y se aplicaron a tecnologías FV de capas delgadas. En este trabajo se presentan los resultados de la extracción de parámetros a través de comparación entre la curva corriente-voltaje (IV) medida y la modelada, además de cálculos de Normalized Root Mean Square Error (NRMSE) con el fin de comparar y evaluar ambos métodos analíticos.

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“…The resulting parameter values were found to significant improvements, with less than a 5% error for most of the solar cells studied [8][9][10][11][12][13]. The double diode model (DDM) illustrated in Figure 2 is also widely used by researchers due to its higher accuracy where more parameters are used in this model, and therefore, more calculations are performed [14][15][16][17][18][19][20][21][22].…”

Section: Main Idea Of the Discrete Symbiotic Organisms Search (Dsos)mentioning

confidence: 99%

A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search

2019

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Exact models are a necessary prerequisite for optimal hardware configuration and the design of high-performance controllers. The photovoltaic system is considered a dynamic nonlinear multimodal system, where an optimization method must be used to resolve non-linearity and to identify the parameters describing the models of such systems. This has incited several researchers to work on and to develop several optimization methods. Recently, a number of methods have been proposed, including deterministic approaches, as well as probabilistic and stochastic numerical approaches, that aimed at obtaining a more accurate model for the PV cell and module array. This paper demonstrates the application of a performance optimization method based on discrete symbiotic organism search (DSOS), that mimics the behaviors of an organism in an ecosystem to survive. The high performance of such a method is attributable to the simplicity of the algorithm used; this algorithm is different from other heuristic algorithms, in that the GA needs two tuning parameters, i.e., the cross over and mutation rate, while the harmony search needs three rules to adjust and improvise new harmony, being memory consideration, pitch adjustment, and random choosing. Meanwhile, in the ABC algorithm, three phases are introduced to find the best food source, that is, the employed bee, the onlooker bee, and the scout bee phases, while the DSOS algorithm did not need any tuning parameters, wherein the proposed algorithm was used in both a single diode and double diode model across three test cases in the study. Compared to other previously published works, the level of performance of the algorithm is high in both implementation and accuracy; the DSOS algorithm is more capable of reaching the best set of solutions. The Mann-Whitney-Wilcoxon test to evaluate the discrete solutions of the algorithm for multiple runs with a 5% degree of confidence was evaluated and performed with a good level of accuracy.

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Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies

Cited by 16 publications

References 63 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

Estudio de los métodos analíticos para la extracción de parámetros eléctricos de módulos fotovoltaicos de capas delgadas

A High Performance Optimizing Method for Modeling Photovoltaic Cells and Modules Array Based on Discrete Symbiosis Organism Search

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