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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: 16 December 2024 | Viewed by 682

Special Issue Editors

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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Published Papers (1 paper)

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Research

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 318
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
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