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Topic Editors

Belfast School of Architecture and the Built Environment, Centre for Sustainable Technologies, Ulster University, Belfast BT15 1ED, UK
1. Department of Industrial Engineering, University of Naples Federico II, 80126 Naples, Italy
2. Department of Building, Civil, and Environmental Engineering, Concordia University, Montréal, QC H3G 1M8, Canada
Dr. Biplab Das
Department of Mechanical Engineering, National Institute of Technology Silchar, Assam 788010, India

Advances in Solar Technologies

Abstract submission deadline
closed (30 September 2024)
Manuscript submission deadline
30 November 2024
Viewed by
19502

Topic Information

Dear Colleagues,

Advanced solar technologies are emerging as key renewable technologies to address the world’s growing demand for energy and environmental issues. This Special Issue is intended to give a platform to a wide range of researchers to share a comprehensive overview of cutting-edge and innovative ideas, novel design concepts, technology development, optimization of materials and devices, system integration, performance optimization using simulation tools, and experimental analysis that are being pursued to develop solar technologies and systems, as well as related interdisciplinary research areas such as solar drying, space heating, dehumidification, desalination, refrigeration, thermal and electrical storage, etc. The latest research on the topic will provide the readers with novel ideas and methods for devising next-generation solutions for solar technologies to practical applications. We welcome both original research and review articles.

Related topics include but are not limited to:

  • Advances in solar photovoltaic technologies;
  • Advances in solar thermal systems;
  • Novel materials and devices for solar technologies;
  • Hybrid solar technologies;
  • Solar-based heating, ventilation, and air conditioning systems;
  • Energy storage technologies;
  • Direct and indirect solar drying systems;
  • Solar distillation and desalination;
  • Solar cooking system;
  • Modeling and simulations for solar-based systems;
  • Techno-economic analysis.

Dr. Jayanta Deb Mondol
Prof. Dr. Annamaria Buonomano
Dr. Biplab Das
Topic Editors

Keywords

  • solar photovoltaics
  • solar thermal
  • energy storage
  • hybrid solar systems
  • economics
  • materials
  • energy modelling
  • solar energy applications

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies
3.0 6.2 2008 17.5 Days CHF 2600 Submit
Entropy
entropy
2.1 4.9 1999 22.4 Days CHF 2600 Submit
Photonics
photonics
2.1 2.6 2014 14.8 Days CHF 2400 Submit
Technologies
technologies
4.2 6.7 2013 24.6 Days CHF 1600 Submit
Thermo
thermo
- 2.1 2021 21.6 Days CHF 1000 Submit

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Published Papers (9 papers)

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27 pages, 4374 KiB  
Review
Overview of Recent Solar Photovoltaic Cooling System Approach
by Yaareb Elias Ahmed, Mohammad Reza Maghami, Jagadeesh Pasupuleti, Suad Hassan Danook and Firas Basim Ismail
Technologies 2024, 12(9), 171; https://doi.org/10.3390/technologies12090171 - 19 Sep 2024
Cited by 1 | Viewed by 3216
Abstract
In recent years, research communities have shown significant interest in solar energy systems and their cooling. While using cells to generate power, cooling systems are often used for solar cells (SCs) to enhance their efficiency and lifespan. However, during this conversion process, they [...] Read more.
In recent years, research communities have shown significant interest in solar energy systems and their cooling. While using cells to generate power, cooling systems are often used for solar cells (SCs) to enhance their efficiency and lifespan. However, during this conversion process, they can generate heat. This heat can affect the performance of solar cells in both advantageous and detrimental ways. Cooling cells and coordinating their use are vital to energy efficiency and longevity, which can help save energy, reduce energy costs, and achieve global emission targets. The primary objective of this review is to provide a thorough and comparative analysis of recent developments in solar cell cooling. In addition, the research discussed here reviews and compares various cooling systems that can be used to improve cell performance, including active cooling and passive cooling. The outcomes reveal that phase-change materials (PCMs) help address critical economic goals, such as reducing the cost of PV degradation, while enhancing the lifespan of solar cells and improving their efficiency, reliability, and quality. Active PCMs offer precise control, while passive PCMs are simpler and more efficient in terms of energy use, but they offer less control over temperature. Moreover, an innovative review of advanced cooling methods is presented, highlighting their potential to improve the efficiency of solar cells. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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Figure 1
<p>Number of articles in the area of solar cooling published in WOS.</p>
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<p>The review paper structure and steps.</p>
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<p>Factors affecting cooling systems.</p>
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<p>Water-spray cooling technique.</p>
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<p>Panel immersed in water.</p>
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<p>Air-based cooling technique.</p>
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<p>PV/TEG/PCM layout.</p>
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<p>Most common cooling techniques.</p>
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<p>Three-dimensional illustration of PV/PCM configurations featuring aluminum (<b>a</b>); schematic representation of an air-based PV/T collector incorporating PCM (<b>b</b>).</p>
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<p>Experimental test facility in PCM active cooling PVT system.</p>
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<p>Cooling system strategies.</p>
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32 pages, 6188 KiB  
Article
Prediction of Global Solar Irradiance on Parallel Rows of Tilted Surfaces Including the Effect of Direct and Anisotropic Diffuse Shading
by Sara Pereira, Paulo Canhoto and Rui Salgado
Energies 2024, 17(14), 3444; https://doi.org/10.3390/en17143444 - 12 Jul 2024
Viewed by 809
Abstract
Solar photovoltaic power plants typically consist of rows of solar panels, where the accurate estimation of solar irradiance on inclined surfaces significantly impacts energy generation. Existing practices often only account for the first row, neglecting shading from subsequent rows. In this work, ten [...] Read more.
Solar photovoltaic power plants typically consist of rows of solar panels, where the accurate estimation of solar irradiance on inclined surfaces significantly impacts energy generation. Existing practices often only account for the first row, neglecting shading from subsequent rows. In this work, ten transposition models were assessed against experimental data and a transposition model for inner rows was developed and validated. The developed model incorporates view factors and direct and circumsolar irradiances shading from adjacent rows, significantly improving global tilted irradiance (GTI) estimates. This model was validated against one-minute observations recorded between 14 April and 1 June 2022, at Évora, Portugal (38.5306, −8.0112) resulting in values of mean bias error (MBE) and root-mean-squared error (RMSE) of −12.9 W/m2 and 76.8 W/m2, respectively, which represent an improvement of 368.3 W/m2 in the MBE of GTI estimations compared to the best-performing transposition model for the first row. The proposed model was also evaluated in an operational forecast setting where corrected forecasts of direct and diffuse irradiance (0 to 72 h ahead) were used as inputs, resulting in an MBE and RMSE of −33.6 W/m2 and 169.7 W/m2, respectively. These findings underscore the potential of the developed model to enhance solar energy forecasting accuracy and operational algorithms’ efficiency and robustness. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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Figure 1
<p>Schematic for modeling GTI in rows that are not the front row.</p>
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<p>Schematic of the various angles for the computation of shadows and obscuring of circumsolar radiation for (<b>a</b>) a segment of the panel being evaluated, (<b>b</b>) the back of the front panel, and (<b>c</b>) the ground between the rows of panels.</p>
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<p>Experimental setup for measuring global tilt irradiance for different positions.</p>
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<p>Overview of the experimental setup including (<b>a</b>) the Évora–PECS station and (<b>b</b>) the pyranometers used for albedo computations.</p>
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<p>Schematic for modeling GTI on the sensor in the experimental apparatus.</p>
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<p>Global tilted irradiance observed and modeled by the Modified Bugler model (first-row model for reference and comparison) and the developed model for period 1 (1 min timestep).</p>
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<p>Global tilted irradiance observed and modeled by the Modified Bugler model (first-row model for reference and comparison) and the developed model for period 12 (1 min timestep).</p>
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<p>Global tilted irradiance observed and modeled by the Modified Bugler model (first-row model for reference and comparison) and the developed model for period 19 (1 min timestep).</p>
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<p>Comparison between downscaled 10 min forecasts of the ECMWF/IFS and observations made at Évora–Verney of DNI, DIF, and GHI for forecast day 0 (the colormap represents the number of data points in each bin; bin size: 20 × 20 W/m<sup>2</sup>).</p>
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<p>Comparison between 10 min downscaled forecasts of the ECMWF/IFS and observations made at Évora–Verney of DNI, DIF, and GHI for forecast day 1 (the colormap represents the number of data points in each bin; bin size: 20 × 20 W/m<sup>2</sup>).</p>
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<p>Comparison between 10 min downscaled forecasts of the ECMWF/IFS and observations made at Évora–Verney of DNI, DIF, and GHI for forecast day 2 (the colormap represents the number of data points in each bin; bin size: 20 × 20 W/m<sup>2</sup>).</p>
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<p>Comparison between improved 10 min forecasts and observations made at Évora–Verney of DNI and DIF for forecast days 0, 1, and 2 (the colormap represents the number of data points in each bin; bin size: 20 × 20 W/m<sup>2</sup>).</p>
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<p>Difference between mean bias errors of GTI from the developed model results using forecasted or experimental data as input for day 0 (negative differences in white and positive differences in blue).</p>
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<p>Flowchart of the model used to generate DNI forecasts [<a href="#B22-energies-17-03444" class="html-bibr">22</a>].</p>
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27 pages, 13538 KiB  
Article
A New LCL Filter Design Method for Single-Phase Photovoltaic Systems Connected to the Grid via Micro-Inverters
by Heriberto Adamas-Pérez, Mario Ponce-Silva, Jesús Darío Mina-Antonio, Abraham Claudio-Sánchez, Omar Rodríguez-Benítez and Oscar Miguel Rodríguez-Benítez
Technologies 2024, 12(6), 89; https://doi.org/10.3390/technologies12060089 - 12 Jun 2024
Cited by 1 | Viewed by 1831
Abstract
This paper aims to propose a new sizing approach to reduce the footprint and optimize the performance of an LCL filter implemented in photovoltaic systems using grid-connected single-phase microinverters. In particular, the analysis is carried out on a single-phase full-bridge inverter, assuming the [...] Read more.
This paper aims to propose a new sizing approach to reduce the footprint and optimize the performance of an LCL filter implemented in photovoltaic systems using grid-connected single-phase microinverters. In particular, the analysis is carried out on a single-phase full-bridge inverter, assuming the following two conditions: (1) a unit power factor at the connection point between the AC grid and the LCL filter; (2) a control circuit based on unipolar sinusoidal pulse width modulation (SPWM). In particular, the ripple and harmonics of the LCL filter input current and the current injected into the grid are analyzed. The results of the Simulink simulation and the experimental tests carried out confirm that it is possible to considerably reduce filter volume by optimizing each passive component compared with what is already available in the literature while guaranteeing excellent filtering performance. Specifically, the inductance values were reduced by almost 40% and the capacitor value by almost 100%. The main applications of this new design methodology are for use in single-phase microinverters connected to the grid and for research purposes in power electronics and optimization. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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<p>Photovoltaic system with LCL filter.</p>
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<p>Grid-connected full bridge inverter with an LCL filter.</p>
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<p>General diagram of mathematical analysis using harmonics.</p>
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<p>Step-by-step diagram for LCL filter calculation and proposed parameters.</p>
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<p>LCL filter connected to the grid for the fundamental harmonic.</p>
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<p>LCL filter divided by superposition theorem.</p>
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<p>LCL filter for any harmonic <span class="html-italic">n</span>.</p>
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<p>Attenuation factor (<span class="html-italic">K<sub>a</sub></span>) versus <span class="html-italic">r</span>.</p>
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<p>The voltage on the DC bus as a function of alpha.</p>
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<p><span class="html-italic">V<sub>in</sub></span> as a function of alpha.</p>
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<p>Proposed value for <span class="html-italic">L</span><sub>1</sub>.</p>
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<p>Proposed value for <span class="html-italic">C<sub>f</sub></span>.</p>
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<p>LCL filter control diagram connected to the grid.</p>
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<p>Full bridge inverter with LCL filter connected to the grid.</p>
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<p>Schematic of control implemented in Simulink.</p>
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<p>Schematic of control implemented in Simulink.</p>
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<p>Results of simulation.</p>
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<p>Results of simulation.</p>
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<p>Current in <span class="html-italic">L</span><sub>1</sub>.</p>
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<p>FFT of the inverter side current signal.</p>
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<p>FFT of harmonics near harmonic n for the inverter side current.</p>
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<p>Grid side current.</p>
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<p>FFT of the grid side current signal.</p>
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<p>FFT of <span class="html-italic">I<sub>g</sub></span> (harmonics near harmonic <span class="html-italic">n</span>).</p>
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<p>Prototype implemented.</p>
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<p>Measured inverter-side current and grid voltage.</p>
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<p>Experimental FFT of the <span class="html-italic">L</span><sub>1</sub> current.</p>
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<p>Measured grid current with a spectrum analyzer.</p>
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<p>Experimental FFT of grid current.</p>
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42 pages, 6303 KiB  
Review
A Review on the Nanofluids-PCMs Integrated Solutions for Solar Thermal Heat Transfer Enhancement Purposes
by José Pereira, Reinaldo Souza, António Moreira and Ana Moita
Technologies 2023, 11(6), 166; https://doi.org/10.3390/technologies11060166 - 24 Nov 2023
Cited by 3 | Viewed by 2302
Abstract
The current review offers a critical survey on published studies concerning the simultaneous use of PCMs and nanofluids for solar thermal energy storage and conversion processes. Also, the main thermophysical properties of PCMs and nanofluids are discussed in detail. On one hand, the [...] Read more.
The current review offers a critical survey on published studies concerning the simultaneous use of PCMs and nanofluids for solar thermal energy storage and conversion processes. Also, the main thermophysical properties of PCMs and nanofluids are discussed in detail. On one hand, the properties of these types of nanofluids are analyzed, as well as those of the general types of nanofluids, like the thermal conductivity and latent heat capacity. On the other hand, there are specific characteristics of PCMs like, for instance, the phase-change duration and the phase-change temperature. Moreover, the main improvement techniques in order for PCMs and nanofluids to be used in solar thermal applications are described in detail, including the inclusion of highly thermal conductive nanoparticles and other nanostructures in nano-enhanced PCMs and PCMs with extended surfaces, among others. Regarding those improvement techniques, it was found that, for instance, nanofluids can enhance the thermal conductivity of the base fluids by up to 100%. In addition, it was also reported that the simultaneous use of PCMs and nanofluids enhances the overall, thermal, and electrical efficiencies of solar thermal energy storage systems and photovoltaic-nano-enhanced PCM systems. Finally, the main limitations and guidelines are summarized for future research in the technological and research fields of nanofluids and PCMs. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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Figure 1
<p>Schematic representation of the overview methodology followed in this work.</p>
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<p>Main passive and active cooling techniques for photovoltaic/thermal systems.</p>
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<p>Typical two-step preparation method for nanofluids.</p>
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<p>Main types of PCMs.</p>
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<p>Main methods of measuring the thermal conductivity of PCMs.</p>
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<p>Main strategies for the enhancement of the thermal conductivity of PCMs.</p>
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<p>Fundamental benefits of PCMs.</p>
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<p>Main formulations for numerical simulations involving PCMs.</p>
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<p>Configuration of the photovoltaic/thermal system. Adapted from [<a href="#B126-technologies-11-00166" class="html-bibr">126</a>].</p>
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<p>Schematic representation of a typical photovoltaic/thermal system.</p>
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<p>Energy and exergy of the control volume of a photovoltaic/thermal system.</p>
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<p>Main heat transfer mechanisms associated with a photovoltaic/thermal system.</p>
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<p>Main design parameters for a photovoltaic/thermal system operating with nanofluids and PCMs.</p>
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<p>Typical configuration of a photovoltaic thermal system operating simultaneously with nanofluids and PCMs.</p>
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<p>General view of the experimental setup developed by the authors Sardarabadi et al. Adapted from [<a href="#B135-technologies-11-00166" class="html-bibr">135</a>].</p>
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12 pages, 2917 KiB  
Article
The Light-Trapping Character of Pit Arrays on the Surface of Solar Cells
by Baohua Zhu, Le Chen, Song Ye and Wei Luo
Photonics 2023, 10(7), 855; https://doi.org/10.3390/photonics10070855 - 24 Jul 2023
Cited by 2 | Viewed by 1328
Abstract
Surfaces with light-trapping structures are widely used in solar cells to enhance light capturing and to transform efficiency. The study of light-trapping character is important for light-trapping structures in solar cells. In the present study, the light-trapping character for the regular hemisphere pit [...] Read more.
Surfaces with light-trapping structures are widely used in solar cells to enhance light capturing and to transform efficiency. The study of light-trapping character is important for light-trapping structures in solar cells. In the present study, the light-trapping character for the regular hemisphere pit arrays (RHPAs) in solar cells was intensively investigated in terms of reducing light reflection, suppressing light escape, and increasing the length of the optical path. Results show that the RHPAs can decrease surface reflectivity by ~54% compared with the plane structure, and can reflect ~33% of the light that has not been absorbed back into the absorption layer of the solar cell. The total optical path of the cell with the RHPAs structure remarkably increased from 2ω to 4ω. To verify the theoretical research conclusions, we produced the glass structure samples with different aspect ratios by using micro/nanometer-processing technology. The reflection ratios for silicon wafers covered by plane and RHPAs glass samples were tested. The test results were compared with the theoretical calculation results, which showed consistency. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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Figure 1
<p>Schematic diagram of the thin-film Silicon solar cell with regular pit arrays.</p>
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<p>Schematic of key fabrication process of regular pit arrays on glass substrate: (<b>a</b>) washing glass substrate; (<b>b</b>) sputtering metal seed layer; (<b>c</b>) spinning photoresist layer; (<b>d</b>) lithography and developing; (<b>e</b>) etching metal layer; (<b>f</b>) moving photoresist; (<b>g</b>) etching glass with HF solution; (<b>h</b>) removing metal seed layer.</p>
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<p>Transmission properties of light in a solar cell model with RHPA surface. The reflection path of incoming rays in area I (<b>a1</b>), II (<b>a2</b>), and III (<b>a3</b>), and a view of the whole reflection (<b>a4</b>). (<b>b</b>) Scattering light of the hemisphere pit. (<b>c</b>) Transmission or reflection path of rays hitting from itself to the RHPAs. (<b>d</b>) PHRAs’ total light capture mechanism in the solar cell.</p>
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<p>(<b>a</b>) Mathematical and physical model of the hemispheric pit. (<b>b</b>) The schematic diagram of the interaction between the incident light in different regions and the hemispherical pit structure.</p>
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<p>(<b>a</b>) (Total reflection.) The diagrammatic sketch of optical rays in RHPAs. (<b>b</b>) (Position of light reflection or escape (X).) The diagrammatic sketch of the percentage of transmitted light and reflected light of each position for all incoming light.</p>
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<p>(<b>a</b>) The diagram of propagation of the optical ray in the pit texture cell. (<b>b</b>) The comparison diagram of light propagation in the plane structure cell and the pit texture structure cell. (<b>c</b>) The conversion relationship among light incident positions, cell thickness, and light path length. (<b>d</b>) The relationship between scattering angle and incident light position, and the relationship between the optical path and the incident light position.</p>
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<p>(<b>a1,a2</b>) Photograph of quasi-hemispherical pit array textured glass and its diffraction pattern with the laser beam (500 nm) passing through. (<b>b</b>) SEM image with RHPA array structure with 30-degree inclination. (<b>c</b>) SEM images of the pits with different aspect ratios. (<b>d</b>) Comparison of reflectivity spectrum of flat and textured glass samples. (<b>e</b>) Diagrammatic sketch for light reflectivity of the silicon wafer covered by the plane glass and the pit-array-structured glass. (<b>f</b>) The reflectivity curves of a silicon wafer with or without RHPA structure and RHPA-structured glass. The inset is the silicon reflectance graph, which is used in the theoretical calculations.</p>
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23 pages, 4385 KiB  
Article
Techno-Economic Assessment of CPVT Spectral Splitting Technology: A Case Study on Saudi Arabia
by Cesar Lucio, Omar Behar and Bassam Dally
Energies 2023, 16(14), 5392; https://doi.org/10.3390/en16145392 - 14 Jul 2023
Cited by 2 | Viewed by 1900
Abstract
Concentrating PV thermal (CPVT) collector with spectral splitting technology is a promising solution for heat and electricity production. To extend the use of this technology, a novel and cost-effective CPVT collector for harsh environments, such as those in Saudi Arabia, is presented and [...] Read more.
Concentrating PV thermal (CPVT) collector with spectral splitting technology is a promising solution for heat and electricity production. To extend the use of this technology, a novel and cost-effective CPVT collector for harsh environments, such as those in Saudi Arabia, is presented and evaluated using theoretical energy, economy, and environmental analysis. Two questions are answered in this study, namely: which is the best operation strategy, and which is the best energy storage technology for CPVT. The potential of using a CPVT under the climate conditions of six cities in Saudi Arabia is also evaluated. It is found that a heat/electricity production strategy and a thermal energy storage are the most suitable for the CPVT technology. The economic assessment shows a levelized cost of electricity (LCOE) of $0.0847/kWh and a levelized cost of heat (LCOH) of $0.0536/kWh when water is used as a spectral filter, and a LCOE of $0.0906/kWh and a LCOH of $0.0462/kWh when ZnO nanoparticles are added. The CO2-equivalent emissions in a 20 MW CPVT plant are cut from 5675 tonnes to 7822 tonnes per year for Saudi Arabian weather and present power generation conditions. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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<p>Basic design of the CPVT.</p>
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<p>(<b>a</b>) CAD design of the receiver (cross-section). (<b>b</b>) U-shape pipe linking the cooling channel to the main channel. (<b>c</b>) Simplified design of the receiver.</p>
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<p>(<b>a</b>) CAD design of the receiver (cross-section). (<b>b</b>) U-shape pipe linking the cooling channel to the main channel. (<b>c</b>) Simplified design of the receiver.</p>
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<p>Schematic of the CPVT collector.</p>
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<p>Ray tracing simulation with 250 rays using Tonatiuh software.</p>
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<p>Front glass of the receiver flux distribution, simulation with 1x10<sup>7</sup> rays using Tonatiuh software.</p>
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<p>Optimum geometric concentration of the CPVT collector.</p>
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<p>Annual average values of PV module efficiency (<math display="inline"><semantics><mrow><msub><mrow><mi>η</mi></mrow><mrow><mi>P</mi><mi>V</mi></mrow></msub></mrow></semantics></math>), total efficiency of CPVT collector (<math display="inline"><semantics><mrow><msub><mrow><mi mathvariant="bold-italic">η</mi></mrow><mrow><mi mathvariant="bold-italic">t</mi><mi mathvariant="bold-italic">o</mi><mi mathvariant="bold-italic">t</mi><mi mathvariant="bold-italic">a</mi><mi mathvariant="bold-italic">l</mi><mo>,</mo><mi mathvariant="bold-italic">e</mi><mi mathvariant="bold-italic">l</mi></mrow></msub></mrow></semantics></math>), temperature of PV module (<math display="inline"><semantics><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>P</mi><mi>V</mi></mrow></msub></mrow></semantics></math>), and maximum temperature of PV module.</p>
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<p>Annual energy production of the CPVT system.</p>
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<p>Energy production per month in Tabuk.</p>
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<p>Energy efficiency per month in Tabuk.</p>
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<p>kgCO<sub>2</sub>-equivalent emissions saved in KSA with one CPVT system.</p>
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<p>tCO<sub>2</sub>-equivalent emissions saved in KSA with a 20 MW plant.</p>
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<p>Flowchart of calculation model.</p>
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21 pages, 5074 KiB  
Article
An Improved Photovoltaic Module Array Global Maximum Power Tracker Combining a Genetic Algorithm and Ant Colony Optimization
by Kuo-Hua Huang, Kuei-Hsiang Chao and Ting-Wei Lee
Technologies 2023, 11(2), 61; https://doi.org/10.3390/technologies11020061 - 20 Apr 2023
Cited by 5 | Viewed by 2001
Abstract
In this paper, a hybrid optimization controller that combines a genetic algorithm (GA) and ant colony optimization (ACO) called GA-ACO algorithm is proposed. It is applied to a photovoltaic module array (PVMA) to carry out maximum power point tracking (MPPT). This way, under [...] Read more.
In this paper, a hybrid optimization controller that combines a genetic algorithm (GA) and ant colony optimization (ACO) called GA-ACO algorithm is proposed. It is applied to a photovoltaic module array (PVMA) to carry out maximum power point tracking (MPPT). This way, under the condition that the PVMA is partially shaded and that multiple peaks are produced in the power-voltage (P-V) characteristic curve, the system can still operate at the global maximum power point (GMPP). This solves the problem seen in general traditional MPPT controllers where the PVMA works at the local maximum power point (LMPP). The improved MPPT controller that combines GA and ACO uses the slope of the P-V characteristic curve at the PVMA work point to dynamically adjust the iteration parameters of ACO. The simulation results prove that the improved GA-ACO MPPT controller is able to quickly track GMPP when the output P-V characteristic curve of PVMA shows the phenomenon of multiple peaks. Comparing the time required for tracking to MPP with different MPPT approaches for the PVMA under five different shading levels, it was observed that the improved GA-ACO algorithm requires 19.5~35.9% (average 29.2%) fewer iterations to complete tracking than the mentioned GA-ACO algorithm. Compared with the ACO algorithm, it requires 74.9~79.7% (average 78.2%) fewer iterations, and 75.0~92.5% (average 81.0%) fewer than the conventional P&O method. Therefore, it is proved that by selecting properly adjusted values of the Pheromone evaporation rate and the Gaussian standard deviation of the proposed GA-ACO algorithm based on the slope scope of the P-V characteristic curves, a better response performance of MPPT is obtained. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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<p>P-V and I-V characteristic curves of the photovoltaic module array with four series and one parallel structure and with one module under 50% shade [<a href="#B26-technologies-11-00061" class="html-bibr">26</a>].</p>
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<p>The flowchart of the proposed improved GA-ACO maximum power tracking.</p>
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<p>The structural diagram of the proposed improved GA-ACO MPPT controller.</p>
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<p>The P-V characteristic curve simulation (Red represents the P-V characteristic curve; blue represents the I-V characteristic curves) for Case 1.</p>
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<p>Simulation results of performance comparison among the improved GA-ACO, traditional GA-ACO, ACO and P&amp;O MPPT methods for Case 1.</p>
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<p>The P-V and I-V characteristic curves (Red represents the P-V characteristic curve; blue represents the I-V characteristic curve) for Case 2.</p>
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<p>Simulation results of performance comparison among the improved GA-ACO, traditional GA-ACO, ACO and P&amp;O MPPT methods for Case 2.</p>
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<p>The P-V and I-V characteristic curves (Red represents the P-V characteristic curve; blue represents the I-V characteristic curve) for Case 3.</p>
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<p>Simulation results of performance comparison among the improved GA-ACO, traditional GA-ACO, ACO, and P&amp;O MPPT methods for Case 3.</p>
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<p>The P-V and I-V characteristic curves (Red represents the P-V characteristic curve; blue represents the I-V characteristic curve) for Case 4.</p>
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<p>Simulation results of performance comparison among the improved GA-ACO, traditional GA-ACO, ACO and P&amp;O MPPT methods for Case 4.</p>
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<p>The P-V and IV characteristic curves (Red represents the P-V characteristic curve; blue represents the I-V characteristic curve) for Case 5.</p>
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<p>Simulation results of performance comparison among the improved GA-ACO, traditional GA-ACO, ACO and P&amp;O MPPT methods for Case 5.</p>
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23 pages, 6526 KiB  
Article
The Study of a Magnetostrictive-Based Shading Detection Method and Device for the Photovoltaic System
by Xiaolei Fu and Yizhi Tian
Energies 2023, 16(6), 2906; https://doi.org/10.3390/en16062906 - 21 Mar 2023
Viewed by 1460
Abstract
When the photovoltaic (PV) system suffers shading problems caused by different degrees and areas, the shaded PV cells will consume electricity and generate heat, the corresponding bypass diode operating at a certain current will conduct, and a special magnetic field will be generated [...] Read more.
When the photovoltaic (PV) system suffers shading problems caused by different degrees and areas, the shaded PV cells will consume electricity and generate heat, the corresponding bypass diode operating at a certain current will conduct, and a special magnetic field will be generated in space. In this study, a magnetostrictive-based shading detection method and device for the PV system are developed from theoretical, simulation, and physical experimental aspects. This study aims to detect the special magnetic field using magnetostrictive material with a certain response pattern under the magnetic field to detect and locate the shading problem of each module in the PV system. Theoretically, the analysis is carried out from the on–off situation of the bypass diodes of PV modules under different shading conditions and the response mechanism of magnetostrictive materials under the action of the magnetic field. During simulation, the finite element magnetic field simulations are performed for the diode and the series magnetic field coil, and the structural parameters of the magnetic field coil are designed based on the simulation results. After establishing the validation idea of the detection method in this study, the experimental platform is built and the experimental steps are designed. Finally, the feasibility of the method proposed in this study is verified, the detection range of the method is calculated, and the minimum spacing of adjacent magnetic field coils is determined by experimental validation. This study provides a novel magnetostrictive-based detection method, as well as a theoretical and experimental basis, for identifying and localizing PV system shading problems, and discusses the feasibility of shading detection at the system level. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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<p>The internal wiring structure of the 300 W PV module.</p>
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<p>Current–voltage curves of normal and shaded cells in the same substring.</p>
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<p>Current–voltage curves of normal and shaded substrings in the same PV module.</p>
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<p>The magnetic induction vector distribution on the surface of the waveguide wire.</p>
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<p>The results of the magnetic field simulation for the diode pin line when the diode is conducting at (<b>a</b>) 1A, (<b>b</b>) 2A, (<b>c</b>) 3A, (<b>d</b>) 4A, (<b>e</b>) 5A, and (<b>f</b>) 6A.</p>
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<p>The curves indicating the relationship between the magnetic induction intensity and the distance in space to the surface position of the diode pin line.</p>
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<p>The forward conduction current–voltage curve of the 10A10MIC rectifier diode.</p>
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<p>The correspondence curve between the winding structures of the magnetic field coil and the maximum value of magnetic induction.</p>
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<p>The relationship between each piece of experimental equipment.</p>
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<p>The process of the whole detection method.</p>
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<p>The experimental platform.</p>
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<p>The output waveform of the pulse power.</p>
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<p>The output current–voltage and power–voltage curves of the PV module string in (<b>a</b>,<b>b</b>) lateral and (<b>c</b>,<b>d</b>) longitudinal shading conditions.</p>
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<p>The waveform acquired by the oscilloscope when the magnetic field coil is not conducted.</p>
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<p>The waveform acquired by the oscilloscope when the magnetic field coil is conducting at the (<b>a</b>) head, (<b>b</b>) middle, and (<b>c</b>) end positions of the waveguide wire.</p>
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<p>The effective waveform graph acquired by the oscilloscope when adjacent magnetic field coils reach the minimum interval distance.</p>
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<p>The details of the waveform acquired by the oscilloscope when adjacent magnetic field coils are at the minimum interval distance.</p>
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10 pages, 7520 KiB  
Article
Simulation and Experimental Evaluation of a Refractive-Reflective Static Solar Concentrator
by Guillermo Luque-Zuñiga, Rubén Vázquez-Medina, G. Ramos-López, David Alejandro Pérez-Márquez and H. Yee-Madeira
Energies 2023, 16(3), 1071; https://doi.org/10.3390/en16031071 - 18 Jan 2023
Cited by 1 | Viewed by 1524
Abstract
Static solar devices have advantages over solar tracking systems. In pure reflective systems, solar reception is limited by the entry angle of the reflector. Many reflective systems are based on mirror Compound Parabolic Concentrators. The solar collection can be improved by placing a [...] Read more.
Static solar devices have advantages over solar tracking systems. In pure reflective systems, solar reception is limited by the entry angle of the reflector. Many reflective systems are based on mirror Compound Parabolic Concentrators. The solar collection can be improved by placing a lens on top of the reflector. In this work, a static system is proposed, consisting of a mirror funnel concentrator with a prism on top. The system is designed using ray-tracing software and is subsequently built and experimentally evaluated. The system designed for an effective concentration factor of 4× reaches an effective concentration of 3.2× at 11:30 a.m. and has an acceptance angle of 60°. Considering the time interval from 8 a.m. to 4 p.m., the system harvests 30.7% more energy than the flat surface. If the time interval considered is from 9:30 a.m. to 2:30 p.m., the increase in harvest is ∼77%. The incorporation of the prism represents an increase of ∼6% compared to the bare reflective system. Full article
(This article belongs to the Topic Advances in Solar Technologies)
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<p>Cross section of the concentration system composed by the reflective Funnel and the refractive Prism (Dimensions in mm).</p>
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<p>Path of typical rays falling on the system: (<b>a</b>) bare funnel concentrator, (<b>b</b>) refractive-reflective system, with an incidence angle of <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>=</mo> <mn>22</mn> <mo>.</mo> <msup> <mn>5</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>Collected energy as obtained with ray-tracing simulations.</p>
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<p>(<b>a</b>) Upper view of the funnel and concentration pattern, (<b>b</b>) Image of the prism and concentration pattern.</p>
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<p>Lateral view of the system ready to be measured.</p>
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<p>Experimental setup showing the lamp, the marks on the table, the system and XY positioning system together with the electronics.</p>
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<p>Experimental data of the collected energy.</p>
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<p>Comparison of experimental(Funnel-prism) and simulated data (Funnel-prism SIM) for the complete system.</p>
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<p>Experimental optical efficiency.</p>
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