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Performance Analysis and Advanced Technologies of Internal Combustion Engines

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 2203

Special Issue Editors


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Guest Editor
Institute of Science and Technology for Sustainable Energy and Mobility (STEMS-CNR), Italian National Research Council, 80125 Napoli, Italy
Interests: internal combustion engines; emissions; combustion; marine engines
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor
Department of Industrial Engineering, University of Naples "Federico II", Via Claudio, 21, 80125 Naples, Italy
Interests: internal combustion engines; turbocharging; fluid machines; powertrain electrification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transportation sector is currently facing the hard challenge of decarbonization, resulting in a historic change in powertrain architecture. Despite long/medium-term solutions of electrification, the switch from combustion to electric propulsion is unlikely to be a fast process and could take several decades, especially in the sectors where autonomy is crucial, such as naval and heavy-duty road transport. The need for an immediate reduction in greenhouse gas emissions pushes science and industry to develop advanced technologies and analysis methods to mitigate GHG emissions and improve the performance of internal combustion engines, either alone or in hybrid powertrains. The aim of this Special Issue is to collect the most recent findings and ideas for the development of advanced technologies for internal combustion engines supporting the scientific community in order to address efforts towards decarbonization and pollutant emission reduction.

We invite researchers to submit both original research and review articles that explore this theme. Innovative experimental and numerical works are welcome. Topics of interest for this Special Issue include (but are not limited to) the following:

  • Alternative combustion processes;
  • Advanced ignition and combustion systems;
  • Advanced fuel injection systems;
  • Biofuels;
  • E-fuels;
  • Alternative fuels;
  • Free carbon fuels;
  • Hydrogen;
  • Hybrid powertrain energy management;
  • Fuel economy;
  • Emissions regulations;
  • Exhaust emissions.

Dr. Luca Marchitto
Prof. Dr. Vincenzo De Bellis
Guest Editors

Manuscript Submission Information

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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

  • advanced combustion systems
  • advanced ignition systems
  • alternative fuels
  • e-fuels
  • biofuels
  • hybrid powertrain energy management

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Published Papers (2 papers)

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Research

41 pages, 16927 KiB  
Article
Numerical Investigation on the Applicability of Variable Compression Ratio in a Marine Two-Stroke Dual-Fuel Engine for Fuel Economy Improvement
by Haosheng Shen and Daoyi Lu
Energies 2025, 18(1), 108; https://doi.org/10.3390/en18010108 - 30 Dec 2024
Cited by 1 | Viewed by 624
Abstract
Marine two-stroke dual-fuel (DF) engines with a low-pressure gas concept normally face the problem of inferior fuel economy in diesel mode, mainly due to their lower compression ratio. To address this issue, a numerical study is performed to investigate the applicability of variable [...] Read more.
Marine two-stroke dual-fuel (DF) engines with a low-pressure gas concept normally face the problem of inferior fuel economy in diesel mode, mainly due to their lower compression ratio. To address this issue, a numerical study is performed to investigate the applicability of variable compression ratio (VCR) in a marine two-stroke DF engine, aiming at improving fuel economy in diesel mode. First, an engine simulation model is established and validated. Then, parametric investigation is performed to obtain insights on the effects of VCR on engine combustion, performance, and emissions. Finally, regression models of selected engine response variables are determined based on the response surface methodology (RSM), which are then optimized by particle swarm optimization (PSO) to obtain the optimal solution of engine setting parameters. The results show that with the application of VCR, the brake specific fuel consumption (BSFC) decreases by 9.65, 11.38, 11.13, and 11.27% at 25, 50, 75, and 100% maximum continuous rating (MCR), respectively. Meanwhile, the nitrogen oxides (NOx) emissions are maintained at the original levels, and the engine’s operating parameters are within specified limits. This study contributes to the delineation of the benefits and limits of VCR and provides a feasible method to facilitate the implementation of VCR in marine engines. Full article
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45 pages, 8198 KiB  
Article
Helicopter Turboshaft Engines’ Gas Generator Rotor R.P.M. Neuro-Fuzzy On-Board Controller Development
by Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Anatoliy Sachenko and Alexey Yurko
Energies 2024, 17(16), 4033; https://doi.org/10.3390/en17164033 - 14 Aug 2024
Cited by 13 | Viewed by 1054
Abstract
The work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neuro-fuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing operating conditions. Methods have been developed, including improvements to the automatic [...] Read more.
The work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neuro-fuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing operating conditions. Methods have been developed, including improvements to the automatic control system structural diagram which made it possible to obtain the system transfer function in the bandpass filter transfer function form. The work also improved the fuzzy rules base and the neuron activation function mathematical model, which significantly accelerated the neuro-fuzzy controller training process. The transfer function frequency and time characteristics analysis showed that the system effectively controlled the engine and reduced vibration. Methods for ensuring a guaranteed stability margin and the synthesis of an adaptive filter were studied, which made it possible to achieve the system’s high stability and reliability. The results showed that the developed controller provided high stability with amplitude and phase margins, effectively compensating for changes in external conditions. Experimental studies have demonstrated that the control quality improved by 2.31–2.42 times compared to previous neuro-fuzzy controllers and by 5.13–5.65 times compared to classic PID controllers. Control errors were reduced by 1.84–2.0 times and 5.28–5.97 times, respectively, confirming the developed neuro-fuzzy controller’s high efficiency and adaptability. Full article
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