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Advances on Solar Energy and Photovoltaic Devices

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 8208

Special Issue Editor


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Guest Editor
Dipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica Applicata (DIEM), Università degli Studi di Salerno, 84084 Salerno, Italy
Interests: photovoltaic modelling; photovoltaic degradation; photovoltaic diagnosis; artificial neural networks; machine learning; artificial intelligence

Special Issue Information

Dear Colleagues,

The maturity and implementation of photovoltaic solar technology has reached levels unthinkable just a few decades ago. However, there are still many unanswered items regarding the behavior of photovoltaic modules in terms of degradation and fault diagnosis. This special issue is aimed at collecting the latest advances that have been achieved that allow a better understanding of the degradation of photovoltaic devices as well as the design of algorithms and strategies that allow a better identification of typical failures that photovoltaic modules can suffer, allowing the earliest possible detection of them. In addition, a special attention must be made to energy storage devices focused on photovoltaic systems, because it is a challenging issue nowadays.

Prof. Dr. Michel Piliougine Rocha
Guest Editor

Manuscript Submission Information

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Keywords

  • photovoltaic modelling
  • photovoltaic degradation
  • photovoltaic diagnosis
  • energy storage systems

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Published Papers (4 papers)

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Research

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13 pages, 1759 KiB  
Article
New Approach for Photovoltaic Parameters Extraction for Low-Cost Electronic Devices
by Andrés Firman, Cesar Prieb, Alexis Raúl González Mayans, Manuel Cáceres, Luis Horacio Vera and Juan de la Casa Higueras
Energies 2023, 16(13), 4956; https://doi.org/10.3390/en16134956 - 26 Jun 2023
Viewed by 1311
Abstract
This work proposes a new five-parameter model equation for PV devices, which operates as a function of the main representative parameters of PV devices. It is specifically developed for implementation in embedded systems. The methodology presented in this work is notable due to [...] Read more.
This work proposes a new five-parameter model equation for PV devices, which operates as a function of the main representative parameters of PV devices. It is specifically developed for implementation in embedded systems. The methodology presented in this work is notable due to the fact that three of the five parameters can be directly extracted from the experimental current–voltage (IV) curve, simplifying the iterative process until a pre-set small difference in the determination of the maximum power is achieved. The iterative methodology for extracting the remaining parameters is also described. The proposed methodology is verified by applying it to seven different PV technologies, including crystalline and thin-film technologies. Its parameters are compared with those obtained using the highly precise trust region iterative method. The resulting parameters and the error in the adjustment along the IV curve are discussed. This methodology demonstrates the capability to accurately adjust the model along the entire IV curve, determine the maximum power, and is not dependent on highly variable parameters. Full article
(This article belongs to the Special Issue Advances on Solar Energy and Photovoltaic Devices)
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10 pages, 1905 KiB  
Article
Impedance Spectroscopy Analysis of Perovskite Solar Cell Stability
by Ilaria Matacena, Pierluigi Guerriero, Laura Lancellotti, Brigida Alfano, Antonella De Maria, Vera La Ferrara, Lucia V. Mercaldo, Maria Lucia Miglietta, Tiziana Polichetti, Gabriella Rametta, Gennaro V. Sannino, Paola Delli Veneri and Santolo Daliento
Energies 2023, 16(13), 4951; https://doi.org/10.3390/en16134951 - 26 Jun 2023
Cited by 12 | Viewed by 2471
Abstract
The aim of this work is to investigate the degradation of perovskite solar cells (PSCs) by means of impedance spectroscopy, a highly sensitive characterization technique used to establish the electrical response of a device in a nondestructive manner. In this paper, PSCs with [...] Read more.
The aim of this work is to investigate the degradation of perovskite solar cells (PSCs) by means of impedance spectroscopy, a highly sensitive characterization technique used to establish the electrical response of a device in a nondestructive manner. In this paper, PSCs with two different electron transport layers (ETLs) are studied: PSCs with undoped SnO2 as an ETL are compared to PSCs with an ETL composed of graphene-doped SnO2 (G-SnO2). Experimental data were collected immediately after fabrication and after one week, monitoring both impedance spectroscopy and dark current-voltage (I-V) curves. It was observed that, in the case of the undoped PSCs, the degradation of the solar cells affected both the AC behavior of the devices, modifying the associated Nyquist plots, and the DC behavior, observable from the dark I-V measurements. Conversely, the solar cells with G-SnO2 showed no variation. Considering the Nyquist plots, a quantitative analysis was performed by comparing the parameters of a proper equivalent circuit model. The results were coherent with those achieved in the DC analysis, thus proving that the analysis of impedance spectra, supported with dark I-V curves, allows one to gain a deeper knowledge of the degradation phenomena of perovskite solar cells. This study opens the door for further improvement of these devices through a better understanding of their electrical behavior. Full article
(This article belongs to the Special Issue Advances on Solar Energy and Photovoltaic Devices)
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29 pages, 2010 KiB  
Article
Implicit Mathematical Model of Photovoltaic Arrays with Improved Calculation Speed Based on Inflection Points of the Current–Voltage Curves
by Juan David Bastidas-Rodriguez, Carlos Andres Ramos-Paja and Andres Julian Saavedra-Montes
Energies 2023, 16(13), 4875; https://doi.org/10.3390/en16134875 - 22 Jun 2023
Cited by 1 | Viewed by 1307
Abstract
Dynamic reconfiguration, the monitoring of power production, and the fault diagnosis of photovoltaic arrays, among other applications, require fast and accurate models of photovoltaic arrays. In the literature, some models use the Lambert-W function to represent each module of the array, which increases [...] Read more.
Dynamic reconfiguration, the monitoring of power production, and the fault diagnosis of photovoltaic arrays, among other applications, require fast and accurate models of photovoltaic arrays. In the literature, some models use the Lambert-W function to represent each module of the array, which increases the calculation time. Other models that use implicit equations to avoid the Lambert-W function do not use the inflection voltages to simplify the system of nonlinear equations that represent the array, increasing the computational burden. Therefore, this paper proposes mathematical models for series-parallel (SP) and total-cross-tied (TCT) photovoltaic arrays based on the implicit equations of the single-diode model and the inflection points of the current–voltage curves. These models decrease the calculation time by reducing the complexity of the nonlinear equation systems that represent each string of SP arrays and the whole TCT. Consequently, the calculation process that solves the model speeds up in comparison with processes that solve traditional explicit models based on the Lambert-W function. The results of several simulation scenarios using the proposed SP model with different array sizes show a reduction in the computation time by 82.97% in contrast with the traditional solution. Additionally, when the proposed TCT model for arrays larger than 2×2 is used, the reduction in the computation time is between 47.71% and 92.28%. In dynamic reconfiguration, the results demonstrate that the proposed SP model provides the same optimal configuration but 7 times faster than traditional solutions, and the TCT model is solved at least 4 times faster than classical solutions. Full article
(This article belongs to the Special Issue Advances on Solar Energy and Photovoltaic Devices)
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Review

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67 pages, 1090 KiB  
Review
Comparative of IEC 60891 and Other Procedures for Temperature and Irradiance Corrections to Measured I–V Characteristics of Photovoltaic Devices
by Michel Piliougine, Paula Sánchez-Friera and Giovanni Spagnuolo
Energies 2024, 17(3), 566; https://doi.org/10.3390/en17030566 - 24 Jan 2024
Cited by 4 | Viewed by 2043
Abstract
The photovoltaic literature contains a wide range of methods for translating the I–V curves of a solar device to other conditions of irradiance and cell temperature, different from those under which the measurements were performed. Some of these translation methods are included as [...] Read more.
The photovoltaic literature contains a wide range of methods for translating the I–V curves of a solar device to other conditions of irradiance and cell temperature, different from those under which the measurements were performed. Some of these translation methods are included as part of the International Standard IEC 60891. In this paper, these techniques are classified, reviewed, and implemented to perform a deep comparative analysis between them and to discuss their suitability for converting the I–V curves of photovoltaic modules under different scenarios of irradiance and temperature. From the analysis conducted, it can be seen that the interpolation method proposed in IEC 60891 achieves accurate results when it is applied to correct small and medium irradiance and temperature gaps. If no interpolation is possible and for large irradiance corrections, other procedures described in IEC 60891 can be applied. However, certain explicit methods based on the single-diode model or on the double-diode model can overcome the most well-known approaches proposed by the standard. Full article
(This article belongs to the Special Issue Advances on Solar Energy and Photovoltaic Devices)
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