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Advances in Hybrid Energy Systems and Their Control for Greener Transportation

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

Deadline for manuscript submissions: 15 February 2025 | Viewed by 2223

Special Issue Editors

Prof. Dr. Gojmir Radica

E-Mail Website
Guest Editor
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Rudjera Boškovića 32, 21000 Split, Croatia
Interests: testing; diagnostic; cogeneration systems; modelling; optimization; energy efficiency; marine engineering; and hybrid systems; conducting energy audits of buildings, including audits of heating and air conditioning installations in buildings, as well as renewable energy implementation and emission measurements
Special Issues, Collections and Topics in MDPI journals
Dr. Željko Penga

E-Mail Website1 Website2
Guest Editor
Assistant Professor, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Rudjera Boškovića 32, 21000 Split, Croatia
Interests: fuel cells; computational fluid dynamics; mathematical modeling; flow field design; dynamic models of fuel cells; continuum models; water and heat management; temporally and spatially resolved fuel cell performance monitoring; development of novel sensors and monitoring equipment for fuel cells; graded design of fuel cells; engineering thermodynamics; hydrogen energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hybrid energy systems represent a promising sustainable power generation solution in various transportation systems. Optimal designs of hybrid energy systems are crucial, but this is a challenging process because of technoeconomic and environmental aspects that have to be considered. The optimization of the configuration, operation, real-time energy management, control and predictive optimization of hybrid energy systems has to be supported by methodologies and techniques that accurately describe these systems in reality. Further research into hybrid energy systems is necessary to achieve technical, economic, and design objectives. This Special issue aims to present the latest research about the design, modeling, optimization, environmental and technoeconomic assessment of hybrid energy systems, as well as recommendations for future work and research directions for optimal hybrid energy system performance and commercialization.

The topics of interest include, but are not limited to, the following:

  • Design, system engineering, and field applications of hybrid energy systems;
  • Modeling, simulation, testing, and verification of hybrid energy systems;
  • Performance and control of hybrid energy systems;
  • Ageing modeling and lifetime prediction;
  • Solid-state battery technology;
  • Hydrogen fuel cell technology;
  • Fuel cell hybrid electrical vehicle;
  • Alternative fuels and their technology;
  • Machine learning, big data, and cloud computing in hybrid energy systems applications;
  • Real-time energy management and predictive optimization methodologies;
  • Monitoring and predictive maintenance of hybrid energy systems;
  • Technoeconomic and environmental assessment of hybrid energy systems;
  • Advances in hybrid energy technologies.

Prof. Dr. Gojmir Radica
Dr. Željko Penga
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

  • hybrid energy systems
  • environment
  • economic assessment
  • optimization
  • energy management
  • real time monitoring
  • control

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Published Papers (2 papers)

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Research

21 pages, 6524 KiB  
Article
Optimization of Fuel Consumption by Controlling the Load Distribution between Engines in an LNG Ship Electric Propulsion Plant
by Siniša Martinić-Cezar, Zdeslav Jurić, Nur Assani and Branko Lalić
Energies 2024, 17(15), 3718; https://doi.org/10.3390/en17153718 - 28 Jul 2024
Viewed by 706
Abstract
Due to growing environmental concerns and stringent emissions regulations, optimizing the fuel consumption of marine propulsion systems is crucial. This work deals with the potential in an LNG ship propulsion system to reduce fuel consumption through controlled load distribution between engines in Dual-Fuel [...] Read more.
Due to growing environmental concerns and stringent emissions regulations, optimizing the fuel consumption of marine propulsion systems is crucial. This work deals with the potential in an LNG ship propulsion system to reduce fuel consumption through controlled load distribution between engines in Dual-Fuel Diesel Electric (DFDE) plant. Based on cyclical data acquisition measured onboard and using an optimization model, this study evaluates different load distribution strategies between setups according to the optimization model results and automatic (equal) operation to determine their effectiveness in improving fuel efficiency. The analysis includes scenarios with different fuel types, including LNG, MDO and HFO, at different engine loads. The results indicate that load distribution adjustment based on the optimization model results significantly improves fuel efficiency compared to conventional methods of uniform load distribution controlled by power management systems in almost all load intervals. This research contributes to the maritime industry by demonstrating that strategic load management can achieve significant fuel savings and reduce environmental impact, which is in line with global sustainability goals. This work not only provides a framework for the implementation of more efficient energy management systems on LNG vessels, but also sets a benchmark for future innovations in maritime energy optimization as well as in the view of exhaust emission reduction. Full article
(This article belongs to the Special Issue Advances in Hybrid Energy Systems and Their Control for Greener Transportation)
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20 pages, 5651 KiB  
Article
A New Vehicle-Specific Power Model for the Estimation of Hybrid Vehicle Emissions
by Ante Kozina, Tino Vidović, Gojmir Radica and Ante Vučetić
Energies 2023, 16(24), 8094; https://doi.org/10.3390/en16248094 - 15 Dec 2023
Viewed by 902
Abstract
Hybrid electric vehicles are certainly one of the key solutions for improving fuel efficiency and reducing emissions, especially in terms of special vehicles and with the use of CO2-neutral fuels. Determining the energy management strategy and finding the optimal solution with [...] Read more.
Hybrid electric vehicles are certainly one of the key solutions for improving fuel efficiency and reducing emissions, especially in terms of special vehicles and with the use of CO2-neutral fuels. Determining the energy management strategy and finding the optimal solution with regard to the aforementioned goals remains one of the main challenges in the design of HEVs. This paper presents a new vehicle modeling method, with an emphasis on HEVs, which is based on the frequency analysis of emissions and consumption according to the current specific traction power of the vehicle. An evaluation of the newly introduced model in the RDE, NEDC and WLTP cycle was performed, and the results were compared with the standard verified vehicle model that was created in AVL’s CruiseM R2021.2 software package. Positive traction energies have positive deviations of between 0.35% and 2.85%. The largest deviation in CO2 emissions was recorded for the HEV model in the RDE cycle and in the non-hybrid model in the WLTP cycle and were 3.79% and 4.4%, respectively. All other combinations of cycle and vehicles had deviations of up to about 1%. As expected, the largest relative deviations were recorded for NOx emissions and ranged from 0.13% to 9.62% for HEVs in the WLTP cycle. Full article
(This article belongs to the Special Issue Advances in Hybrid Energy Systems and Their Control for Greener Transportation)
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