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Recent Advances in Renewable Energy Generation Technologies and Power Demand Response

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 1284

Special Issue Editors

Dr. Marek Pavlík

E-Mail Website
Guest Editor
Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia
Interests: photovoltaic systems; electromagnetic shielding
Dr. Ján Zbojovský

E-Mail Website
Guest Editor
Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia
Interests: electromagnetic simulation

Special Issue Information

Dear Colleagues,

Currently, there is an increasing emphasis on reducing the energy consumption of buildings. As temperatures rise, the professional community is focused on lowering the carbon footprint in the energy sector. Solar energy, which is currently the most accessible form of energy, can be harnessed using photovoltaic panels. However, operating photovoltaic systems presents numerous challenges that lead to a decrease in energy efficiency. This opens up the possibility of researching the effective operation of photovoltaic systems, as their improved efficiency would result in greater energy generation and, consequently, a reduction in the dependency on fossil fuels.

The aim of this Special Issue is to introduce new scientific insights in the field of photovoltaic system operation to the scientific and professional community. This Special Issue is interested in a variety of topics, including, but not limited to, the following:

  • Photovoltaic systems;
  • Operation of photovoltaic systems;
  • Efficient energy utilization;
  • Power system control;
  • Battery systems;
  • Optimal operation of renewable energy sources;
  • Electric distributed systems;
  • Energy management systems;
  • Electromobility.

Dr. Marek Pavlík
Dr. Ján Zbojovský
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

  • photovoltaic system
  • battery system
  • operation of photovoltaic systems
  • power system control
  • renewable energy sources

Published Papers (2 papers)

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Research

13 pages, 4684 KiB  
Article
Analysis of Losses Associated with Series Resistance (Rs) in Simple-Structured c-Si Solar Cells
by Manuel J. Heredia-Rios, Luis Hernandez-Martinez, Monico Linares-Aranda, Mario Moreno-Moreno and Javier Flores Méndez
Energies 2024, 17(7), 1520; https://doi.org/10.3390/en17071520 - 22 Mar 2024
Viewed by 469
Abstract
The assessment of photovoltaic devices, which convert light energy into electricity, has become significantly more relevant due to the aspiration to reduce pollution on a global scale. In this context, the pursuit of optimizing the efficiency of converting light energy into electrical energy [...] Read more.
The assessment of photovoltaic devices, which convert light energy into electricity, has become significantly more relevant due to the aspiration to reduce pollution on a global scale. In this context, the pursuit of optimizing the efficiency of converting light energy into electrical energy involves exhaustive studies and structural analyses of solar cells, all directed toward achieving this goal. This study introduces a research proposal aimed at analyzing the losses associated with series resistance (Rs). The analysis takes into account each component comprising this resistance, proposing a network of resistances that precisely models each of these elements. The aforementioned research focused on simple-structured crystalline silicon cells. During this investigation, the junction depth (xj) of the n-p materials was varied, with the aim of achieving efficiencies in the range of 12%. However, in the pursuit of this desired efficiency, a significant impact on series resistance was observed when analyzing the I-V curves of the cells obtained in each manufacturing process. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy Generation Technologies and Power Demand Response)
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12 pages, 3032 KiB  
Article
Synthesis of Solar Production and Energy Demand Profiles Using Markov Chains for Microgrid Design
by Hugo Radet, Bruno Sareni and Xavier Roboam
Energies 2023, 16(23), 7871; https://doi.org/10.3390/en16237871 - 1 Dec 2023
Viewed by 549
Abstract
Uncertainties related to the energy produced and consumed in smart grids, especially in microgrids, are among the major issues for both their design and optimal management. In that context, it is essential to have representative probabilistic scenarios of these environmental uncertainties. The intensive [...] Read more.
Uncertainties related to the energy produced and consumed in smart grids, especially in microgrids, are among the major issues for both their design and optimal management. In that context, it is essential to have representative probabilistic scenarios of these environmental uncertainties. The intensive development and massive installation of smart meters will help to better characterize local energy consumption and production in the following years. However, models representing these variables over large timescales are essential for microgrid design. In this paper, we explore a simple method based on Markov chains capable of generating a large number of probabilistic production or consumption profiles from available historical measurements. We show that the developed approach can capture the main characteristics and statistical variability of real data on both short-term and long-term scales. Moreover, the correlation between both production and demand is conserved in generated profiles with respect to historical measurements. Full article
(This article belongs to the Special Issue Recent Advances in Renewable Energy Generation Technologies and Power Demand Response)
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