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Solar Cells, Circuits and Systems for PV Conversion

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: closed (10 April 2024) | Viewed by 6100

Special Issue Editors


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Guest Editor
Department of Marine Electronics, Gdynia Maritime University, Morska 83, 81-225 Gdynia, Poland
Interests: modeling and measurements of semiconductor power devices, solar cells and photovoltaic systems; electronic devices and circuits based on wide bandgap semiconductors; optoelectronics; energy harvesting
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Marine Electronics, Faculty of Electrical Engineering, Gdynia Maritime University, Morska 83, 81-225 Gdynia, Poland
Interests: power electronics; power converters; wireless power transfer; energy storage technology; magnetic elements; modelling electronic components and systems; IGBT; MOSFET; BJT; power LEDs; electrothermal analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The guest editor is inviting submissions to a Special Issue of Energies on the subject area of "Solar Cells, Circuits and Systems for PV Conversion". One of the most dynamically developing areas of science and technology is photovoltaics. In recent years, the efficiency of the photovoltaic effect and photovoltaic systems has been constantly increasing. In addition, the field of possible applications of photovoltaic conversion is becoming wider, e.g., photovoltaics in textronics. It is related to both the new technologies used for producing solar cells and new solutions of electronic systems participating in the process of converting electrical energy. These systems often use modern optimization algorithms and control methods. In addition, in photovoltaic systems, especially higher-power ones, it is important to store excess electricity, which results in the development of new battery technologies or the use of components such as supercapacitors.

This Special Issue will deal with the latest technologies related to the production of photovoltaic cells and testing the properties of PV cells, innovative electronic energy conversion systems ensuring a high efficiency when converting dc to ac and dc to dc energy used in photovoltaic systems, e.g., in inverters, methods of modeling cells, devices and photovoltaic systems, and technologies of energy storage obtained in PV systems. The presented topic of this Special Issue can also be extended to other interesting research areas related to the photovoltaic conversion of energy.

Dr. Jacek Dąbrowski
Prof. Dr. Krzysztof Górecki
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Solar cells
  • Photovoltaic conversion
  • Photovoltaic systems (PV systems)
  • Power electronic circuits
  • Electrical energy storage
  • Renewable Energy
  • Modeling techniques
  • Optimization and control methods

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Published Papers (3 papers)

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Research

20 pages, 2168 KiB  
Article
Optimally Splitting Solar Spectrums by Concentrating Solar Spectrums Splitter for Hydrogen Production via Solid Oxide Electrolysis Cell
by Shaocheng Lang, Jinliang Yuan and Houcheng Zhang
Energies 2024, 17(9), 2067; https://doi.org/10.3390/en17092067 - 26 Apr 2024
Viewed by 941
Abstract
The concentrating solar spectrums splitter (CSSS)-driven solid oxide electrolysis cell (SOEC) is an attractive technology for green hydrogen production. The CSSS mainly comprises a concentrating photovoltaic (CPV), which converts sunlight with shorter wavelengths into electricity, and a concentrating solar collector (CSC), which converts [...] Read more.
The concentrating solar spectrums splitter (CSSS)-driven solid oxide electrolysis cell (SOEC) is an attractive technology for green hydrogen production. The CSSS mainly comprises a concentrating photovoltaic (CPV), which converts sunlight with shorter wavelengths into electricity, and a concentrating solar collector (CSC), which converts the remaining sunlight into heat. However, the optimal splitting of the solar spectrums is a critical challenge that directly impacts the efficiency and normal operation of the SOEC. To address this challenge, a mathematical model integrating the CSSS with the SOEC is developed based on principles from thermodynamics and electrochemistry. By analyzing the requirements of electricity and heat for the SOEC, the model determines the optimal configuration and operational parameters. The results show that the anode-supported type, higher operating temperature, larger inlet flow rate of water, higher operating pressure of the SOEC, higher operating temperature of the CSC, and larger electric current of the CPV contribute to allocating more solar spectrums to the CSC for heat generation. However, the greater effectiveness of the heat exchangers, higher operating temperature, and larger optical concentration ratio of the CPV exhibit contrasting effects on the spectrum allocation. The obtained results provide valuable theoretical guidance for designing and running the CSSS for hydrogen production through SOEC. Full article
(This article belongs to the Special Issue Solar Cells, Circuits and Systems for PV Conversion)
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23 pages, 5657 KiB  
Article
Extraction of Single Diode Model Parameters of Solar Cells and PV Modules by Combining an Intelligent Optimization Algorithm with Simplified Explicit Equation Based on Lambert W Function
by Jianing Li, Cheng Qin, Chen Yang, Bin Ai and Yecheng Zhou
Energies 2023, 16(14), 5425; https://doi.org/10.3390/en16145425 - 17 Jul 2023
Cited by 9 | Viewed by 2595
Abstract
In this paper, the explicit equation of the single diode model (SDM) expressed by the Lambert W function was reduced to its simplified form through variable replacement; then the simplified explicit equation was combined with an intelligent optimization algorithm to estimate the SDM [...] Read more.
In this paper, the explicit equation of the single diode model (SDM) expressed by the Lambert W function was reduced to its simplified form through variable replacement; then the simplified explicit equation was combined with an intelligent optimization algorithm to estimate the SDM parameters of solar cells and PV modules. To evaluate the parameter extraction performance of the new method, eight typical intelligent optimization algorithms were combined with the implicit, explicit, and simplified explicit equation to extract the SDM parameters of a solar cell and three types of PV modules. The results show that the new method not only improves the accuracy of parameter extraction but also enhances the robustness and convergence speed. Most importantly, the new method can nearly improve the parameter extraction accuracy of a poor-performing algorithm in traditional methods to the level of other well-performing algorithms without enhancing the algorithm itself. In a word, this study offers a new choice for a more accurate and reliable extraction of SDM parameters from both solar cells and PV modules. Full article
(This article belongs to the Special Issue Solar Cells, Circuits and Systems for PV Conversion)
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12 pages, 1925 KiB  
Article
Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm
by Victor Arturo Martinez Lopez, Ugnė Žindžiūtė, Hesan Ziar, Miro Zeman and Olindo Isabella
Energies 2022, 15(20), 7562; https://doi.org/10.3390/en15207562 - 13 Oct 2022
Cited by 11 | Viewed by 1876
Abstract
Irradiance variability is one of the main challenges for using photovoltaic energy. This variability affects the operation of maximum power point trackers (MPPT) causing energy losses. The logic of the Perturb-and-Observe MPPT algorithm is particularly sensitive to quick irradiance changes. We quantified the [...] Read more.
Irradiance variability is one of the main challenges for using photovoltaic energy. This variability affects the operation of maximum power point trackers (MPPT) causing energy losses. The logic of the Perturb-and-Observe MPPT algorithm is particularly sensitive to quick irradiance changes. We quantified the existing relation between irradiance variations and efficiency loss of the logic of the Perturb-and-Observe MPPT algorithm, along with the sensitivity of the MPPT to its control parameters. If the algorithm parameters are not tuned properly, its efficiency will drop to nearly 2%. Irradiance variability causes a systematic energy loss of the algorithm that can only be quantified by ignoring the hardware components. With this, we aim to improve the energy yield estimation by providing an additional efficiency loss to be considered in the calculations. Full article
(This article belongs to the Special Issue Solar Cells, Circuits and Systems for PV Conversion)
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