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Applied Sciences
Special Issues
Renewable Energy Production and Applications: Latest Advances and Prospects
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Renewable Energy Production and Applications: Latest Advances and Prospects

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 3153

Special Issue Editors

Dr. ‪Svetlana Proskurina

E-Mail Website
Guest Editor
Laboratory of Energy Technology, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland
Interests: bioenergy; biomass; bioenergy markets; trade of liquid and solid biofuels; biorefinery
Dr. Fabian Schipfer

E-Mail Website
Guest Editor
Energy Economics Group, Technische Universität Wien, Karlsplatz 13, A-1040 Vienna, Austria
Interests: assessment of multi-sector dynamics; bioeconomy modelling; flexibility studies
Dr. Clara Mendoza Martinez

E-Mail Website
Guest Editor
Laboratory of Energy Technology, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland
Interests: thermochemical conversion processes, i.e., gasification, pyrolysis, torrefaction and hydrothermal carbonization; physicochemical conversion processes, i.e., briquetting and pelleting; characterization of biomasses; kinetic analysis; transport phenomena analysis; bioenergy technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In order to achieve carbon neutrality, regions are progressively developing renewable energy and looking at novel methods for its production and application. Renewable energy plays a crucial role in the circular economy, reducing carbon emissions and combatting climate change. Although the global renewable energy capacity continues to rise, the global consumption of fossil fuels remains significant.

The purpose of this Special Issue is to compile research from the fields of science and engineering that addresses the possibilities, problems, and prospective solutions related to renewable energy development as a sustainable means of realizing energy transition. This Special Issue focuses on the latest technology developed and challenges solved in order to maximize the utilization of renewable energy and minimize fossil fuel consumption. It will on focus on the potential of resources, the environment, and technical issues related to the application of renewable energy, including solar, bioenergy, wind, and a combination of them all.

The scope of this Special Issue includes, but is not limited to, the following:

  • Role of renewable energy in carbon neutrality targets;
  • Replacement of fossil fuel by renewables: production and applications;
  • Possible market of renewable energy products;
  • Latest advances in renewable energy;
  • Supportive policies and incentives to promote renewable energy usage;
  • The costs of renewable energy technologies;
  • Public awareness and support of renewable energy;
  • Prospects of renewable energy development;
  • Energy transition;
  • Environmental issues.

Dr. ‪Svetlana Proskurina
Dr. Fabian Schipfer
Dr. Clara Mendoza Martinez
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. Applied Sciences 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 2400 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

  • renewable energy applications
  • carbon neutrality
  • energy transition
  • life cycle assessment
  • solar energy
  • wind energy
  • bioenergy

Published Papers (3 papers)

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Research

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24 pages, 7286 KiB  
Article
Energy Management Strategy for DC Micro-Grid System with the Important Penetration of Renewable Energy
by Christian Bipongo Ndeke, Marco Adonis and Ali Almaktoof
Appl. Sci. 2024, 14(6), 2659; https://doi.org/10.3390/app14062659 - 21 Mar 2024
Viewed by 564
Abstract
This paper presents an energy management strategy using a Stateflow controller related to DC microgrids with the important penetration of renewable energy. The increase in world electricity demand is one of the principal drivers of the exhaustion of fossil fuels and increased greenhouse [...] Read more.
This paper presents an energy management strategy using a Stateflow controller related to DC microgrids with the important penetration of renewable energy. The increase in world electricity demand is one of the principal drivers of the exhaustion of fossil fuels and increased greenhouse gas emissions. To solve these problems, several countries have adopted actions for widespread renewable energy deployment, which includes wind energy, solar power, biomass power, tidal, and hydropower. These sources are considered as significant in delivering clean energy and reducing greenhouse gas emissions for sustainable improvement. As these sources play an increasingly vital role in the global energy landscape, the efficient management of these intermittent sources is essential for grid stability and sustainability. This paper aimed to develop an energy management strategy for DC microgrids to supply power to a DC microgrid system. The main objective of this paper was to implement an energy management system to ensure the proper operation of DC microgrid systems utilizing Simulink blocks available in MATLAB/Simulink 2020b software. The simulation results demonstrated that the developed energy management algorithm was unconditionally reliable, ensuring the proper operation of the microgrid systems. Additionally, the results demonstrated that the energy management strategy exhibited robust performance across different scenarios, effectively balancing energy generation and consumption while ensuring the reliable operation of the microgrid system. Moreover, the developed algorithm model presents another advantage, as it enables users to access and to change any control parameters within the DC microgrid. By comparing these results with the literature, the developed energy management algorithm provides safety and the automatic control of the microgrid. Full article
(This article belongs to the Special Issue Renewable Energy Production and Applications: Latest Advances and Prospects)
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13 pages, 4345 KiB  
Article
Design Optimization of Underground Mining Vehicles Based on Regenerative Braking Energy Recovery
by Pengcheng Liu, Jian Hao, Hui Hu, Xuekun Luan and Bingqian Meng
Appl. Sci. 2024, 14(1), 467; https://doi.org/10.3390/app14010467 - 4 Jan 2024
Viewed by 980
Abstract
This article addresses the issue of energy waste resulting from frequent braking of underground mine cars and proposes an optimization design to address this. The proposed solution involves the installation of a regenerative braking device within the mine cars to capture and reuse [...] Read more.
This article addresses the issue of energy waste resulting from frequent braking of underground mine cars and proposes an optimization design to address this. The proposed solution involves the installation of a regenerative braking device within the mine cars to capture and reuse the energy wasted during braking. This implementation improves the endurance capabilities of the underground mine cars. The article begins by analyzing the working characteristics of underground mine cars and proposing a design optimization method based on regenerative braking energy. Subsequently, a regenerative braking device specifically designed for underground mine cars is introduced. Finally, through physical modeling, a comparison is made between the energy consumption of the underground mine cars before and after the installation of the energy recovery system, allowing for an estimation of the actual benefits of energy recovery. The results demonstrate that the regenerative braking system successfully recovers approximately 60% of the braking energy during operation, resulting in an improvement of around 20% in the endurance capabilities of the underground mine cars. This significant enhancement contributes to the improved energy utilization efficiency of coal mine electric cars, reducing system energy consumption and lowering CO2 emissions. Full article
(This article belongs to the Special Issue Renewable Energy Production and Applications: Latest Advances and Prospects)
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Review

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36 pages, 3204 KiB  
Review
Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies
by Íñigo Manuel Iglesias-Sanfeliz Cubero, Andrés Meana-Fernández, Juan Carlos Ríos-Fernández, Thomas Ackermann and Antonio José Gutiérrez-Trashorras
Appl. Sci. 2024, 14(1), 389; https://doi.org/10.3390/app14010389 - 31 Dec 2023
Cited by 1 | Viewed by 1069
Abstract
Artificial neural networks (ANNs) have become key methods for achieving global climate goals. The aim of this review is to carry out a detailed analysis of the applications of ANNs to the energy transition all over the world. Thus, the applications of ANNs [...] Read more.
Artificial neural networks (ANNs) have become key methods for achieving global climate goals. The aim of this review is to carry out a detailed analysis of the applications of ANNs to the energy transition all over the world. Thus, the applications of ANNs to renewable energies such as solar, wind, and tidal energy or for the prediction of greenhouse gas emissions were studied. This review was conducted through keyword searches and research of publishers and research platforms such as Science Direct, Research Gate, Google Scholar, IEEE Xplore, Taylor and Francis, and MDPI. The dates of the most recent research were 2018 for wind energy, 2022 for solar energy, 2021 for tidal energy, and 2021 for the prediction of greenhouse gas emissions. The results obtained were classified according to the type of structure and the architecture used, the inputs/outputs used, the region studied, the activation function used, and the algorithms used as the main methods for synthesizing the results. To carry out the present review, 96 investigations were used, and among them, the predominant structure was that of the multilayer perceptron, with Purelin and Sigmoid as the most used activation functions. Full article
(This article belongs to the Special Issue Renewable Energy Production and Applications: Latest Advances and Prospects)
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