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Sustainable and Intelligent Energy Systems and Processes: Recent Advances and...
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Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges (2nd Edition)

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 30 May 2026 | Viewed by 3525

Special Issue Editors

Prof. Dr. Mateo Bašić

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Guest Editor
Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Rudjera Boskovica 32, HR-21000 Split, Croatia
Interests: induction machines; power electronics; intelligent control systems; optimization algorithms; microgrids; renewable generation; dynamical modeling; parameter estimation
Special Issues, Collections and Topics in MDPI journals
Dr. Marko Vekić

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Guest Editor
Department of Power, Electronic and Telecommunication Engineering, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Interests: power electronics; power quality; microgrids; FACTS; power electronic control in power systems
Special Issues, Collections and Topics in MDPI journals
Dr. Ivan Grgić

E-Mail Website
Guest Editor
Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Rudjera Boskovica 32, HR-21000 Split, Croatia
Interests: power electronics; control in photovoltaic systems; microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This is the second edition of the Special Issue entitled "Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges". In the first edition, we published 13 articles. It was very successful. You are welcome to read the published papers here: https://www.mdpi.com/journal/processes/special_issues/P7PQ04XN6X

The past few decades have seen a significant rise in investments in clean, renewable, and sustainable energy technologies as a result of concern about current and emerging environmental issues and dangers, the depletion of fossil fuel supplies, and the rapidly escalating global energy demand. In addition, the topic of reliability and resilience has drawn a lot of attention recently in an effort to lessen the community's vulnerability to temporary power outages or total collapse of the main grid brought on by natural disasters, wars, technical issues, physical and cyberattacks, etc. Hence, policymakers have prioritized developing new action plans to address these concerns, including the use of renewable energy and improving energy conversion efficiency and management. Although it is often challenging to put these new action plans into practice due to issues with technology, the economy or society, process systems engineers continuously strive to enhance systems of all types, from large industrial to small household ones.

Future energy systems are expected to include many different types of energy storage technology and renewable sources of energy. The availability of renewable resources, in particular, has a significant impact on the economic growth potential. However, despite the fact that they can help with energy issues, the challenges associated with managing, controlling, and monitoring renewable energy sources prevent them from being fully integrated into power systems. The use of sophisticated control algorithms, such as those based on machine learning, artificial intelligence or cloud computing, can help solve these problems.

Original research papers, reviews, case studies, and technical notes relevant to the scope of this Special Issue include, but are not limited to, the following topics:

  • Integration of renewable energy sources;
  • Solar and wind energy technology and applications;
  • Hybrid renewable energy systems;
  • Grid stability;
  • Power quality in microgrids;
  • Power electronics in renewable energy systems and smart grids;
  • Modeling of energy systems and processes;
  • Policy issues related to sustainability;
  • Energy conversion and storage technologies;
  • System reliability and resilience;
  • Techno-economic and energy/exergy analyses;
  • Edge computing in smart grid and other applications;
  • Artificial intelligence applications in smart grids;
  • Increasing energy efficiency in industrial motor drives.

You may choose our Joint Special Issue in Energies.

Prof. Dr. Mateo Bašić
Dr. Marko Vekić
Dr. Ivan Grgić
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. Processes is an international peer-reviewed open access monthly 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

  • sustainability
  • intelligent control
  • renewable energy
  • reliability and resilience
  • smart grid
  • energy storage
  • edge computing
  • FACTS
  • power quality

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

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28 pages, 10224 KB  
Article
A Vulnerability Identification Method for Distribution Networks Integrating Fuzzy Local Dimension and Topological Structure
by Kangzheng Huang, Weichuan Zhang, Yongsheng Xu, Chenkai Wu and Weibo Li
Processes 2025, 13(8), 2438; https://doi.org/10.3390/pr13082438 - 1 Aug 2025
Cited by 1 | Viewed by 403
Abstract
As the scale of shipboard power systems expands, their vulnerability becomes increasingly prominent. Identifying vulnerable points in ship power grids is essential for enhancing system stability, optimizing overall performance, and ensuring safe navigation. To address this issue, this paper proposes an algorithm based [...] Read more.
As the scale of shipboard power systems expands, their vulnerability becomes increasingly prominent. Identifying vulnerable points in ship power grids is essential for enhancing system stability, optimizing overall performance, and ensuring safe navigation. To address this issue, this paper proposes an algorithm based on fuzzy local dimension and topology (FLDT). The algorithm distinguishes contributions from nodes at different radii and within the same radius to a central node using fuzzy sets, and then derives the final importance value of each node by combining the local dimension and topology. Experimental results on nine datasets demonstrate that the FLDT algorithm outperforms degree centrality (DC), closeness centrality (CC), local dimension (LD), fuzzy local dimension (FLD), local link similarity (LLS), and mixed degree decomposition (MDD) algorithms in three metrics: network efficiency (NE), largest connected component (LCC), and monotonicity. Furthermore, in a ship power grid experiment, when 40% of the most important nodes were removed, FLDT caused a network efficiency drop of 99.78% and reduced the LCC to 2.17%, significantly outperforming traditional methods. Additional experiments under topological perturbations—including edge addition, removal, and rewiring—also show that FLDT maintains superior performance, highlighting its robustness to structural changes. This indicates that the FLDT algorithm is more effective in identifying and evaluating vulnerable points and distinguishing nodes with varying levels of importance. Full article
(This article belongs to the Special Issue Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges (2nd Edition))
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23 pages, 4053 KB  
Article
Study of Energy Distribution in a Photovoltaic Park in Tulcea County, Romania
by Cristian-Valentin Strejoiu, Mohammed Gmal Osman, Dorel Stoica, Cornel Panait and Gheorghe Lăzăroiu
Processes 2025, 13(2), 533; https://doi.org/10.3390/pr13020533 - 14 Feb 2025
Viewed by 1756
Abstract
This study analyzes the design, installation, and performance evaluation of a photovoltaic farm located in Tulcea County, Romania, connected to a 20 kV distribution network. With a peak capacity of approximately 2800 kWp, the farm takes advantage of Romania’s favorable climate conditions and [...] Read more.
This study analyzes the design, installation, and performance evaluation of a photovoltaic farm located in Tulcea County, Romania, connected to a 20 kV distribution network. With a peak capacity of approximately 2800 kWp, the farm takes advantage of Romania’s favorable climate conditions and the support provided by renewable energy policies. The analysis covers both the photovoltaic panel array and the electrical energy evacuation system. The substation at the park is equipped with technology that complies with European standards and integrates advanced features typical of modern distribution networks. The operational performance evaluation includes detailed calculations of the performance ratio and power losses, attributed to factors such as temperature fluctuations, panel fouling, inverter efficiency, grid-related issues, and system availability. The farm contributes around 3620 MWh of electricity to the grid annually, demonstrating the important role of photovoltaic installations in promoting sustainable energy solutions at the regional level. Full article
(This article belongs to the Special Issue Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges (2nd Edition))
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Review

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29 pages, 5893 KB  
Review
Solid Oxide Electrolyzers Process Integration: A Comprehensive Review
by Fernando Ferrete, Ana Molina, Gracia María Cabello González, Ángeles Moreno-Racero, Henar Olmedo and Alfredo Iranzo
Processes 2025, 13(8), 2656; https://doi.org/10.3390/pr13082656 - 21 Aug 2025
Viewed by 890
Abstract
Solid oxide electrolysis (SOEL) has emerged as a promising technology for efficient hydrogen production. Its main advantages lie in the high operating temperatures, which enhance thermodynamic efficiency, and in the ability to supply part of the required energy in the form of heat. [...] Read more.
Solid oxide electrolysis (SOEL) has emerged as a promising technology for efficient hydrogen production. Its main advantages lie in the high operating temperatures, which enhance thermodynamic efficiency, and in the ability to supply part of the required energy in the form of heat. Nevertheless, improving the long-term durability of stack materials remains a key challenge. Thermal energy can be supplied by dedicated integration with different industrial processes, where the main challenge lies in the elevated stack operating temperature (700–900 °C). This review provides a comprehensive analysis of the integration of solid oxide electrolysis cells (SOECs) into different industrial applications. Main processes cover methanol production, methane production, Power-to-Hydrogen systems, or the use of reversible solid oxide electrolysis cell (rSOEC) stacks that can operate in both electrolysis and fuel cell mode. The potential of co-electrolysis to increase process flexibility and broaden application areas is also analyzed. The aim is to provide a comprehensive analysis of the integration strategies, identify the main technical and economic challenges, and highlight recent developments and future trends in the field. A detailed comparison assessment of the different processes is being discussed in terms of electrical and thermal efficiencies and operating parameters, as well as Key Performance Indicators (KPIs) for each process. Technical-economic challenges that are currently a barrier to their implementation in industry are also analyzed. Full article
(This article belongs to the Special Issue Sustainable and Intelligent Energy Systems and Processes: Recent Advances and Challenges (2nd Edition))
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