energies-logo

Journal Browser

Journal Browser

Photovoltaic Modules 2021

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 (30 June 2021) | Viewed by 2326

Special Issue Editors


E-Mail Website
Guest Editor
Department of Energy, Politecnico di Torino, 10129 Torino, Italy
Interests: photovoltaic and wind power systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor
Department of Energy, Politecnico di Torino, 10129 Torino, Italy
Interests: renewable energy technologies; electrical power engineering; power systems analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to the photovoltaic (PV) modules, which are the main component of photovoltaic plants. In particular, the efficiency of the PV modules is even higher, exceeding the 20% threshold, while the cost has dramatically decreased in the last years; some years ago, this cost was 60–70 % of the total installation cost, now it is only 30–40 % of the same total cost. However, as the robustness of the cells inside the modules has been reduced together with their thickness (100–200 µm), the encapsulation process may be imperfect and, as a consequence, the presence of mechanical, electrical, and thermal defects may be increasing.

The contributions submitted to this Special Issue should deal with the following topics, as well as other potential topics that are not mentioned here:

  • Electrical mismatch of solar cell I–V curves due to imperfect sorting process, defects/failure of the solar cells, as well as partial shading.
  • Potential induced degradation and light induced degradation, visual defects like snail trails due to cracks and micro-cracks, EVA delamination and reduction of insulation resistance, and shunt defects inside the solar cells.
  • Techniques for fault-detection (e.g., electroluminescence).
  • Recycling techniques of the materials used in the encapsulation.
  • Cost–benefit analysis to evaluate the replacement of faulty PV modules.

Prof. Dr. Filippo Spertino
Prof. Dr. Paolo Di Leo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • PV modules
  • photovoltaic plants
  • techniques for fault-detection

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

24 pages, 3445 KiB  
Article
An Improved Particle Swarm Optimization with Chaotic Inertia Weight and Acceleration Coefficients for Optimal Extraction of PV Models Parameters
by Arooj Tariq Kiani, Muhammad Faisal Nadeem, Ali Ahmed, Irfan A. Khan, Hend I. Alkhammash, Intisar Ali Sajjad and Babar Hussain
Energies 2021, 14(11), 2980; https://doi.org/10.3390/en14112980 - 21 May 2021
Cited by 17 | Viewed by 1817
Abstract
The efficiency of PV systems can be improved by accurate estimation of PV parameters. Parameter estimation of PV cells and modules is a challenging task as it requires accurate operation of PV cells and modules followed by an optimization tool that estimates their [...] Read more.
The efficiency of PV systems can be improved by accurate estimation of PV parameters. Parameter estimation of PV cells and modules is a challenging task as it requires accurate operation of PV cells and modules followed by an optimization tool that estimates their associated parameters. Mostly, population-based optimization tools are utilized for PV parameter estimation problems due to their computational intelligent behavior. However, most of them suffer from premature convergence problems, high computational burden, and often fall into local optimum solution. To mitigate these limitations, this paper presents an improved variant of particle swarm optimization (PSO) aiming to reduce shortcomings offered by conventional PSO for estimation of PV parameters. PSO is improved by introducing two strategies to control inertia weight and acceleration coefficients. At first, a sine chaotic inertia weight strategy is employed to attain an appropriate balance between local and global search. Afterward, a tangent chaotic strategy is utilized to guide acceleration coefficients in search of an optimal solution. The proposed algorithm is utilized to estimate the parameters of the PWP201 PV module, RTC France solar cell, and a JKM330P-72 PV module-based practical system. The obtained results indicate that the proposed technique avoids premature convergence and local optima stagnation of conventional PSO. Moreover, a comparison of obtained results with techniques available in the literature proves that the proposed methodology is an efficient, effective, and optimal tool to estimate PV modules and cells’ parameters. Full article
(This article belongs to the Special Issue Photovoltaic Modules 2021)
Show Figures

Figure 1

Back to TopTop