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Selected Papers from the 12th European Conference on Renewable Energy...
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Selected Papers from the 12th European Conference on Renewable Energy Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (16 December 2024) | Viewed by 4036

Special Issue Editors

Prof. Dr. Erol Kurt

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Gazi University, Ankara, Turkey
Interests: theoretical and experimental cutting-edge studies; energy systems including wind, solar, geothermal, and hydrogen
Special Issues, Collections and Topics in MDPI journals
Dr. Jose Manuel Lopez-Guede

E-Mail Website
Guest Editor
Department of Automation Control, University of the Basque Country, Vitoria, Biscay, Spain
Interests: LiDAR data processing; image processing; control for autonomous vehicles; computational intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is devoted to highly qualified selected papers from the 12th European Conference on Renewable Energy Systems (ECRES2024 – ecres.net), which will take place in Mallorca, Spain, in a hybrid format. This international event is expected to attract participants from more than 60 countries and aims to bring together researchers, engineers, and natural scientists from all over the world that are interested in the advancement of all branches of renewable energy systems. Submissions on wind, solar, hydrogen, hydrothermal, geothermal, and solar concentrating systems, fuel cells, energy harvesting, and other energy-related topics are welcome.

We are open to the inclusion of these and other related topics:

  • Energy material production and characterization;
  • Power electronic systems for renewable energy;
  • Conventional energy systems and recovery;
  • Engines and their combustion features;
  • Offshore and tidal energy systems;
  • Energy statistics and efficiency;
  • Energy transmission systems;
  • Heating/cooling systems;
  • Energy/exergy analysis;
  • Energy efficiency;
  • Wind energy;
  • Solar concentrating systems;
  • Photovoltaics and their installation;
  • Energy harvesters;
  • Smart grids;
  • Electrical machines;
  • Hydro-energy plants;
  • Biomass systems;
  • Biodiesel systems;
  • Combustion;
  • Nuclear fusion systems;
  • Hydrogen energy systems;
  • Fuel-cell systems;
  • Efficiency in nuclear plants;
  • Energy education;
  • Energy informatics.

The papers for this Special Issue have been already submitted to the ECRES 2024 conference via the link: https://www.ecres.net/ and presented to the conference successfully. After approval, the successful papers will be directed to the journal.

It ought to be mentioned that the papers are expected to be improved at least by 30% in comparison with the conference versions. Each conference paper should be cited in the journal version and the improvements should be highlighted.

The papers will go through a peer review process and selection for the conference does not guarantee publication.

Prof. Dr. Erol Kurt
Dr. Jose Manuel Lopez-Guede
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. Sustainability 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

  • energy material production and characterization
  • power electronic systems for renewable energy
  • conventional energy systems and recovery
  • engines and their combustion features
  • offshore and tidal energy systems
  • energy statistics and efficiency
  • energy transmission systems
  • heating/cooling systems
  • energy/exergy analysis
  • energy efficiency
  • wind energy
  • solar concentrating systems
  • photovoltaics and their installation
  • energy harvesters
  • smart grids
  • electrical machines
  • hydro-energy plants
  • biomass systems
  • biodiesel systems
  • combustion
  • nuclear fusion systems
  • hydrogen energy systems
  • fuel-cell systems
  • efficiency in nuclear plants
  • energy education
  • energy informatics

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

Published Papers (4 papers)

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Research

19 pages, 2561 KiB  
Article
Optimization of the Design and Control System of a Backup Power System Based on Batteries and Generator Set
by Iñigo Aramendia, Ekaitz Zulueta, Jose Manuel Lopez-Guede, Daniel Teso-Fz-Betoño and Unai Fernandez-Gamiz
Sustainability 2025, 17(5), 2313; https://doi.org/10.3390/su17052313 - 6 Mar 2025
Viewed by 541
Abstract
Grid complexity is expected to increase in the near future, and therefore, research on it is highly increasing due to the interest in optimizing power distribution along with the implementation of renewable energy sources. The grid presented in the current work uses a [...] Read more.
Grid complexity is expected to increase in the near future, and therefore, research on it is highly increasing due to the interest in optimizing power distribution along with the implementation of renewable energy sources. The grid presented in the current work uses a hybrid storage system with batteries and a generator set. A supervisor is also added to the model in order to distribute the load between the batteries and the generator when a power grid outage is detected. The main objective of this study is to find optimal supervisor operating values and battery capacity sizing. To that end, a recently developed intelligent algorithm, called Basque optimization (BO), is applied to model the battery capacity sizing and its depth of discharge. The results obtained provided an optimum value of 0.7267, which implies a battery sizing of 72.67% of the maximum battery capacity proposed in the optimization algorithm. Additionally, an optimal state of charge (SoC_lim) of the battery of 3.87% is obtained, corresponding to a depth of discharge (DoD_lim) of 96.13%. A sensitivity analysis is also performed to evaluate different time horizons and load profiles. The results showed that longer simulation horizons reduce the DoD, preserving battery life, while battery utilization increases in longer time horizons and variable load conditions, ensuring energy availability. Full article
(This article belongs to the Special Issue Selected Papers from the 12th European Conference on Renewable Energy Systems)
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13 pages, 2474 KiB  
Article
Business Case for a Regional AI-Based Marketplace for Renewable Energies
by Jonas Holzinger, Anna Nagl, Karlheinz Bozem, Carsten Lecon, Andreas Ensinger, Jannik Roessler and Christina Neufeld
Sustainability 2025, 17(4), 1739; https://doi.org/10.3390/su17041739 - 19 Feb 2025
Viewed by 539
Abstract
The global energy sector is rapidly changing due to decentralization, renewable energy integration, and digitalization, challenging traditional energy business models. This paper explores a startup concept for an AI-assisted regional marketplace for renewable energy, specifically suited for small- and medium-sized enterprises (SMEs). Driven [...] Read more.
The global energy sector is rapidly changing due to decentralization, renewable energy integration, and digitalization, challenging traditional energy business models. This paper explores a startup concept for an AI-assisted regional marketplace for renewable energy, specifically suited for small- and medium-sized enterprises (SMEs). Driven by advancements in artificial intelligence (AI), big data, and Internet of Things (IoT) technology, this marketplace enables efficient energy trading through real-time supply–demand matching with dynamic pricing. Decentralized energy systems, such as solar and wind power, offer benefits like enhanced energy security but also present challenges in balancing supply and demand due to volatility. This research develops and validates an AI-based pricing model to optimize regional energy consumption and incentivize efficient usage to support grid stability. Through a SWOT analysis, this study highlights the strengths, weaknesses, opportunities, and threats of such a platform. Findings indicate that, with scalability, the AI-driven marketplace could significantly support the energy transition by increasing renewable energy use and therefore reducing carbon emissions. This paper presents a viable, scalable solution for SMEs aiming to participate in a resilient, sustainable, and localized energy market. Full article
(This article belongs to the Special Issue Selected Papers from the 12th European Conference on Renewable Energy Systems)
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14 pages, 2760 KiB  
Article
Solar Stirling for Renewable Energy Multigeneration Systems
by Georg Klepp
Sustainability 2025, 17(3), 1257; https://doi.org/10.3390/su17031257 - 4 Feb 2025
Viewed by 786
Abstract
This study explores the feasibility and potential of integrating dish–Stirling systems (DSSs) into multigeneration energy systems, focusing on their ability to produce both thermal and electrical energy. By leveraging the concentrated solar power capabilities of DSSs, this research examines their performance relative to [...] Read more.
This study explores the feasibility and potential of integrating dish–Stirling systems (DSSs) into multigeneration energy systems, focusing on their ability to produce both thermal and electrical energy. By leveraging the concentrated solar power capabilities of DSSs, this research examines their performance relative to alternative solutions such as photovoltaic (PV) systems and solar heating. A 25 kW Stirling Energy Systems (SES) DSS served as the basis for the analysis. Simulations were performed for local 2022 weather conditions in Germany. The study employed a detailed modeling approach using the NREL System Advisor Model (SAM) to quantify the energy outputs and evaluate the system efficiencies. The results indicate that the DSS achieved an electrical efficiency of 25% and a combined efficiency of 78% when accounting for the maximum thermal energy generated. Seasonal analysis highlights the adaptability to fluctuating energy demands, with advantages in winter heating applications. Comparative evaluations revealed DSSs as a viable cogeneration alternative to standalone PV systems and solar heaters, offering reduced environmental impacts and enhanced energy efficiency. Future work will address real-world operational conditions, including thermal storage and multigeneration integration, positioning the DSS as a sustainable solution for renewable energy generation. Full article
(This article belongs to the Special Issue Selected Papers from the 12th European Conference on Renewable Energy Systems)
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18 pages, 1339 KiB  
Article
BESS Reserve Optimisation in Energy Communities
by Wolfram Rozas-Rodriguez, Rafael Pastor-Vargas, Andrew D. Peacock, David Kane and José Carpio-Ibañez
Sustainability 2024, 16(18), 8017; https://doi.org/10.3390/su16188017 - 13 Sep 2024
Viewed by 1435
Abstract
This paper investigates optimising battery energy storage systems (BESSs) to enhance the business models of Local Energy Markets (LEMs). LEMs are decentralised energy ecosystems facilitating peer-to-peer energy trading among consumers, producers, and prosumers. By incentivising local energy exchange and balancing supply and demand, [...] Read more.
This paper investigates optimising battery energy storage systems (BESSs) to enhance the business models of Local Energy Markets (LEMs). LEMs are decentralised energy ecosystems facilitating peer-to-peer energy trading among consumers, producers, and prosumers. By incentivising local energy exchange and balancing supply and demand, LEMs contribute to grid resilience and sustainability. This study proposes a novel approach to BESS optimisation, utilising advanced artificial intelligence techniques, such as multilayer perceptron neural networks and extreme gradient boosting regressors. These models accurately forecast energy consumption and optimise BESS reserve allocation within the LEM framework. The findings demonstrate the potential of these AI-driven strategies to improve the BESS reserve capacity setting. This optimal setting will target meeting Energy Community site owners’ needs and avoiding fines from the distribution system operator for not meeting contract conditions. Full article
(This article belongs to the Special Issue Selected Papers from the 12th European Conference on Renewable Energy Systems)
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