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Special Issue "Design and Implementation of Renewable Energy Systems"

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

Deadline for manuscript submissions: 26 April 2024 | Viewed by 853

Special Issue Editors

Special Issue Information

Dear Colleagues,

This issue is devoted to the highly qualified selected papers of the 11th European Conference on Renewable Energy Systems (ECRES2023, ecres.net), which will take place in Riga, Latvia, in a hybrid format. This international event is expected to involve participants from more than 60 countries.  

ECRES aims to bring together researchers, engineers and natural scientists from all over the world who are interested in the advancement of all branches of renewable energy systems. Wind, solar, hydrogen, hydro-, geothermal, solar-concentrating, fuel cell, energy harvesting and other energy-related topics are welcome. 

We are open to the inclusion of the following related topics:

  • Hydrogen energy system design and implementation;
  • Policies on renewable energy;
  • Energy system optimization;
  • Smart systems;
  • Energy statistics and efficiency;
  • Electric networks;
  • Thermodynamical issues on energy;
  • Wind energy systems;
  • Turbine designs and implementation;
  • Photovoltaic material characterization;
  • Electrical machine design and implementation;
  • Plasma systems for nuclear fusion.

The papers for this Special Issue have already been submitted to the ECRES 2023 conference via the link https://cmt3.research.microsoft.com/ECRES2023 and will be presented in the conference. After approval, successful papers will be directed to the journal.

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. 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

  • hydrogen
  • optimization
  • thermodynamics
  • wind
  • photovoltaics
  • electrical machine

Published Papers (1 paper)

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Research

Article
Estimating Energy Consumption of Battery Electric Vehicles Using Vehicle Sensor Data and Machine Learning Approaches
Energies 2023, 16(17), 6351; https://doi.org/10.3390/en16176351 - 01 Sep 2023
Cited by 1 | Viewed by 364
Abstract
Transport electrification, which entails replacing fossil fuel-powered engines with electric drivetrains through the use of electric vehicles (EVs), has been identified as a potential strategy for reducing emissions in the transportation sector. As the adoption of EVs increases, there is a growing need [...] Read more.
Transport electrification, which entails replacing fossil fuel-powered engines with electric drivetrains through the use of electric vehicles (EVs), has been identified as a potential strategy for reducing emissions in the transportation sector. As the adoption of EVs increases, there is a growing need to understand their performance and characteristics, particularly the factors that influence energy consumption under actual driving conditions. This study sought to investigate the actual energy consumption of commercial battery electric vehicles (BEVs) in Thailand by conducting real-world driving tests under various route conditions, including urban and rural route modes. Data collection was performed through the use of onboard diagnostics and global positioning system devices. The result shows that the average energy consumption of the BEVs in this study was 148.03 Wh/km. Moreover, several machine learning (ML) techniques were utilized to analyze the collected dataset to predict energy consumption and identify the key factors influencing energy consumption. A comprehensive investigation of factor significance was carried out by employing a specific algorithm in conjunction with the SHapley Additive exPlanations (SHAP) approach. This investigation provided insights into the influence of battery current and vehicle speed on the energy consumption of BEVs, particularly in the context of urban route conditions. The results of this study provide valuable insights into the energy consumption of BEVs and the factors affecting it, which can aid in improving energy efficiency and informing policy decisions related to transport electrification. Full article
(This article belongs to the Special Issue Design and Implementation of Renewable Energy Systems)
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