Topic Editors

Department of Electric Engineering and Energy Technology (ETEC), Mobility, Logistics and Automotive Technology Research Centre (MOBI), Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, Belgium
Department of Electric Engineering and Energy Technology (ETEC), Mobility, Logistics and Automotive Technology Research Centre (MOBI), Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, Belgium
Dr. Christoph Bergmeir
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
Prof. Dr. Farivar Fazelpour
Energy and Environment, Freiberg University of Technology, Academy of Mine Freiberg, Freiberg, Germany
Department of Energy, Politecnico di Milano, 20156 Milan, Italy

Energy Systems: Design, Management, Control and Monitoring

Abstract submission deadline
1 January 2026
Manuscript submission deadline
31 March 2026
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Topic Information

Dear Colleagues,

We are delighted to invite you to contribute to our forthcoming Topic entitled “Energy Systems: Design, Management, Control and Monitoring”.

The present issue welcomes researchers and authors to submit research and review articles exploring stationary and mobile applications of energy systems including, but not limited to, the following:

  • Integrated design, control, and operational management of multi-vector energy systems and energy community/valley/regions;
  • Electrical and thermal design and management: simulation, control, and measurement of energy storage, energy conversion, and energy generation systems;
  • Smart grid-ready distributed generation systems’ performance, stability, resilience, and reliability;
  • Applications of machine learning, AI, forecasting, and optimization techniques in energy systems;
  • Peer-to-peer energy sharing, consumer-centric energy systems, and market pricing analysis;
  • Advanced measuring and monitoring systems and methods for green energy applications;
  • Vehicle to grid integrations: V2G and V1G management, charging scheduling, technology, and protocols;.
  • Automotives and energy management: electric, hybrid, and plug-in hybrid vehicles;
  • Self-driving and autonomous vehicles: route planning, control, energy management, and socio-economic explorations of connected and non-connected platoons of vehicles;
  • Energy and buildings, thermal networks, HVAC, and indoor air quality management;
  • Applications of Internet of Things (IoT) in smart energy management and control;
  • Interoperability and flexibility service design, development, and optimization;
  • Muti-criteria decision making and stakeholder engagement for energy sectors;
  • Decarbonization, life cycle assessment, and sustainability management.

Dr. Majid Vafaeipour
Dr. Danial Karimi
Dr. Christoph Bergmeir
Prof. Dr. Farivar Fazelpour
Dr. Michela Longo
Topic Editors

Keywords

  • multi-energy systems
  • energy management
  • distributed generation
  • energy and transportation
  • energy and building
  • con-trol design
  • machine learning
  • decision making
  • operational management
  • measurement and monitoring

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Batteries
batteries
4.6 4.0 2015 19.7 Days CHF 2700 Submit
Electronics
electronics
2.6 5.3 2012 16.4 Days CHF 2400 Submit
Energies
energies
3.0 6.2 2008 16.8 Days CHF 2600 Submit
Machines
machines
2.1 3.0 2013 15.5 Days CHF 2400 Submit
Smart Cities
smartcities
7.0 11.2 2018 28.4 Days CHF 2000 Submit
Sustainability
sustainability
3.3 6.8 2009 19.7 Days CHF 2400 Submit

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Published Papers (1 paper)

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26 pages, 8900 KiB  
Article
Common Rail Injector Operation Model and Its Validation
by Karol Dębowski and Mirosław Karczewski
Energies 2025, 18(9), 2271; https://doi.org/10.3390/en18092271 - 29 Apr 2025
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Abstract
The aim of this study was to develop and subsequently validate a simulation model of a Common Rail (CR) system injector. The study includes a description of simulation and experimental tests conducted under various injector operating conditions. Experimental tests were performed using the [...] Read more.
The aim of this study was to develop and subsequently validate a simulation model of a Common Rail (CR) system injector. The study includes a description of simulation and experimental tests conducted under various injector operating conditions. Experimental tests were performed using the STPiW-2 test bench. The operating conditions of the injector were varied in terms of injection pressure and injector opening time. The injector model was developed using the Amesim software, where simulation studies were also conducted. The simulations focused on generating injection characteristics, specifically the volume of fuel injected per injection at pressures ranging from 20 MPa to 140 MPa in 10 MPa increments. Four such injection characteristics were obtained during both experimental and simulation studies, corresponding to injector opening times of 500 µs, 1000 µs, 1500 µs, and 2000 µs. Additionally, volume characteristics were generated under the same conditions. The validation demonstrated a high level of accuracy for the developed model. The obtained injection characteristics exhibited a correlation coefficient exceeding 90% in all four cases. The most accurately replicated injection characteristic was for the 500 µs injector opening time, achieving a correlation coefficient of 99%. Meanwhile, the simulation-derived overflow volume characteristic matched the experimental results with a correlation of 98%. For longer injector opening times, the correlation coefficients were slightly lower but remained satisfactory. The study concluded that for short injector opening times, the assumed model simplifications had minimal impact on the injected fuel volume at a given pressure. However, for longer opening times, discrepancies between simulation and experimental results became more pronounced. This divergence could be attributed to pressure variability within the injector during operation and associated hydraulic phenomena. Full article
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