Article
Automation & Control Systems
Nikolaos Planakis, George Papalambrou, Nikolaos Kyrtatos
Summary: In this work, an energy management system for optimal power-split in hybrid ship propulsion is developed. The torque of the diesel engine and electric machine are regulated based on a predictive strategy with a weighting factor for fuel consumption and NOx emissions. A disturbance observer is designed to estimate propeller load characteristics, and a neural network model predicts rotational speed reference. Parametric simulation evaluates the trade-off between fuel consumption and NOx emissions reduction, and the control scheme is experimentally implemented to handle environmental disturbance rejection while following desired speed reference.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Engineering, Marine
Shihong Gan, Weifeng Shi, Xiaoyan Xu
Summary: This research presents an inland river cruise ship powered by a fuel cell (FC) as the main power source and a supercapacitor (SC) as the auxiliary power source. The advantages of the proposed high-voltage-boost Z-source inverter (HVB-ZSI) are verified through simulation. By controlling the shoot-through duty cycle and modulation factor, the FC power, output power, and state of charge (SOC) of the SC can be controlled.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Gunnar Quante, Nils Bullerdiek, Stefan Bube, Ulf Neuling, Martin Kaltschmitt
Summary: The air transport sector's contribution to anthropogenic climate forcing is estimated at around 4%. Alternative fuels, such as synthetic kerosene, alcohols, and gases, are considered as a key measure to reduce greenhouse gas emissions in commercial aviation. However, the usage-shares of these fuels are below 1%. This paper evaluates different aviation fuel options based on their greenhouse gas reduction potential and identifies challenges and opportunities for their implementation.
Article
Engineering, Electrical & Electronic
Thant Zin Oo, Yan Ren, Adams Wai-Kin Kong, Yi Wang, Xiong Liu
Summary: This paper proposes a power management algorithm for ferries, which can achieve battery recharging and minimize fuel consumption. The simulation results show that the algorithm is more fuel-efficient compared to a rule-based management scheme.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Thermodynamics
Ali Haseltalab, Lindert van Biert, Harsh Sapra, Benny Mestemaker, Rudy R. Negenborn
Summary: The shipping industry is under increasing pressure to reduce its environmental impact, leading to the consideration of Solid Oxide Fuel Cells (SOFC) as a novel power source. New component sizing, energy and power management approaches have been proposed to enable the use of SOFCs as the main onboard power source, resulting in significant CO2 reduction.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Nikolaos Planakis, George Papalambrou, Nikolaos Kyrtatos
Summary: For the development of optimal and robust energy management systems for hybrid ship propulsion plants, it is important to simulate real-world conditions as closely as possible in experimental facilities. This study proposes a framework for the design and experimental evaluation of power-split control systems for ship propulsion. Machine learning is used to process ship operation data and identify 20 loading patterns, which are extracted as representative templates for the development and testing of the energy management system. A ship propulsion model with wave disturbance is utilized to simulate realistic loading scenarios. A predictive energy management system is presented, controlling a diesel engine and an electric motor/generator based on a strategy that minimizes fuel consumption and NOx emissions. Parametric simulations are performed to evaluate the trade-off between fuel consumption and NOx emissions reduction potential. Experimental results on a hybrid diesel-electric marine powertrain show reductions of 6% in fuel consumption and 8.5% in NOx emissions compared to the tested profile.
Article
Engineering, Marine
Raphael Zaccone, Ugo Campora, Michele Martelli
Summary: This paper presents an optimal design approach for diesel-electric propulsion systems, using a genetic algorithm to determine the best engine configuration and load sharing strategy. The method aims to minimize fuel consumption and meet power and speed requirements, showcasing the flexibility and efficiency of diesel-electric propulsion.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Yi Zhou, Kayvan Pazouki, Rose Norman
Summary: The paper discusses the impact of commercial shipping in the Arctic region and proposes suggestions to reduce fuel consumption and emissions through a hybrid propulsion system and a three-level control strategy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Pramod Ghimire, Mehdi Zadeh, Jarle Thorstensen, Eilif Pedersen
Summary: This study developed a data-driven dynamic efficiency model for evaluating and comparing the efficiency of different ship electric powertrain systems. The results indicate that hybridizing the ship power system can increase system efficiency and enhance operational flexibility.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Marine
Wongwan Jung, Daejun Chang
Summary: This study proposes a deep reinforcement learning-based energy management strategy for a hybrid electric ship propulsion system. The strategy integrates a liquid hydrogen fuel gas supply system, a proton-exchange membrane fuel cell, and a lithium-ion battery system. The proposed strategy demonstrates superior performance compared to benchmark algorithms and achieves higher operating expenditure. It also achieves efficient operation within the PEMFC system's optimal efficiency range.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Sanijo Durasevic, Inno Gatin, Tessa Uroic, Hrvoje Jasak
Summary: This paper presents a partially rotating grid method for predicting self-propulsion characteristics of a ship. The method combines a temporal-domain rotating propeller approach with a non-inertial equation system to reduce computation time. The method is verified and validated through numerical simulations for a container ship, and the results are analyzed in terms of flow characteristics and ship-propeller interaction.
Article
Computer Science, Information Systems
Xuezhou Wang, Udai Shipurkar, Ali Haseltalab, Henk Polinder, Frans Claeys, Rudy R. Negenborn
Summary: This paper uses a nested double-layer optimization architecture to study the sizing and energy management optimization of a hybrid offshore support vessel, considering the complexity brought by different power sources and the impact of operational profiles on hybrid design.
Article
Energy & Fuels
Ujjal Manandhar, Xinan Zhang, Gooi Hoay Beng, Lalitha Subramanian, Herbert H. C. Lu, Tyrone Fernando
Summary: This paper presents an enhanced control and energy management strategy for the remote isolated power system, including hybrid energy storage system control and novel battery state of charge stop control. It improves the transient response, extends battery lifespan, maximizes renewable energy usage, and reduces maintenance costs. Real-time simulation studies validate the effectiveness of the proposed control method and energy management system.
Article
Energy & Fuels
Mohab Gaber, S. H. El-Banna, Mahmoud El-Dabah, M. S. Hamad
Summary: The IMO regulations require shipbuilders to use electric ships to reduce pollution, while hybrid energy power systems are proposed as an effective solution. The focus of the research is on energy management strategy to control power flow between different sources for system stability and reliability. By using an intelligent control strategy and ANFIS/Simulink toolbox, this paper introduces a hybrid energy source for naval ships.
Article
Green & Sustainable Science & Technology
G. M. Cabello, S. J. Navas, I. M. Vazquez, A. Iranzo, F. J. Pino
Summary: This paper reviews the ongoing research studies and microgrid pilot projects in Spain, focusing on the renewable energy potential in the country. It highlights the main investigation trends in the field, including the use of technologies, control methods, and operational challenges. The study finds that photovoltaic and wind power are the most favored energy generation technologies, and batteries are the most widely used energy storage systems. Advanced control strategies such as MPC or fuzzy logic are replacing traditional strategies for higher efficiency. The paper provides a comprehensive analysis of the potential of renewable energy penetration through smart grids in Spain, examining the equipment and control strategies implemented in various facilities.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Luigi Pio di Noia, Fabio Mottola, Daniela Proto, Renato Rizzo
Summary: Ultra-fast charging infrastructures have become increasingly popular due to their ability to significantly reduce charging time for electric vehicles. However, the higher charging power has a greater impact on power distribution networks, affecting line currents and bus voltages. This paper presents a methodology to manage a microgrid with ultra-fast charging stations, satisfying grid constraints while maintaining short charging time. The proposed approach optimally coordinates demand from electric vehicles and other loads with power provided by renewable energy sources, minimizing charging time while meeting technical and quality of service constraints. Results from testing the approach on a system demonstrate its feasibility.
Article
Engineering, Electrical & Electronic
Antonio Bracale, P. Caramia, P. De Falco, A. R. Di Fazio, P. Varilone
Summary: The analysis of active unbalanced three-phase 4-wire distribution networks under short-circuit conditions has become important due to the increasing diffusion of single-phase Photovoltaic Systems. The main challenge lies in modeling the complex behavior of the inverter control systems accurately.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Marine
Maria Acanfora, Marco Altosole, Flavio Balsamo, Luca Micoli, Ugo Campora
Summary: The article discusses a simulation approach to represent ship motions in waves and their interaction with the propulsion system behavior. It emphasizes the importance of developing a comprehensive simulator for analyzing the main engine thermodynamics in different sea conditions and managing other propulsion components. The study explores emerging propulsion solutions in maritime transport and highlights the complex nonlinear behavior of the propulsion plant in waves, including the effects of hull dynamic instability.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
R. Pigazzini, F. De Luca, F. Balsamo, A. Migali, L. Vitiello
Summary: This study presents an in-depth analysis of both head and following sea trials of a leisure planing hull yacht, with a focus on the relationship between propulsion and motion. The analysis is conducted in both frequency and time domain, providing a comprehensive assessment of torque response and hull motions.
Article
Engineering, Multidisciplinary
Elio Chiodo, Pasquale De Falco, Luigi Pio Di Noia
Summary: In this article, a hybrid methodology is developed to characterize the remaining useful life (RUL) of lithium-ion batteries even with limited data. The methodology considers several probability distributions and uses expectation-maximization algorithms for parameter estimation. The proposed approach is tested on a RUL dataset created by Monte Carlo sampling on an electrochemical battery model. Numerical experiments are reported to evaluate the effectiveness of the proposal.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Energy & Fuels
Elio Chiodo, Davide Lauria, Fabio Mottola, Daniela Proto, Domenico Villacci, Giorgio Maria Giannuzzi, Cosimo Pisani
Summary: Battery participation in power system frequency regulation is important to counteract the impact of increasing renewable energy utilization. Characterizing the dynamic variation of battery state of charge is crucial for preserving battery lifetime and ensuring effective regulation. Stochastic processes theory is a suitable method for addressing the randomness of power system frequency, and the use of Wiener process and Ornstein-Uhlenbeck process helps describe the battery-regulating power. Numerical simulations demonstrate the applicability of the proposed probabilistic approach.
Article
Automation & Control Systems
Waqar Hassan, Farhan Mahmood, Amedeo Andreotti, Mario Pagano, Farooq Ahmad
Summary: This article investigates the influence of voltage harmonics distortion produced during the variable-speed operation of VFD on PD characteristics. It proposes a framework for properly evaluating harmonics impact in PD for electric motors and correctly estimating stator insulation degradation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Multidisciplinary
Antonio Bracale, Pasquale De Falco, Luigi Pio Di Noia, Renato Rizzo
Summary: In this paper, probabilistic models based on time series and regression methods are developed and compared for predicting the remaining useful life of lithium-ion batteries. The models are developed using data from accelerated degradation tests and different approaches are used for predicting battery health and lifespan. The results demonstrate the accuracy and effectiveness of the proposed models.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Marilisa Botte, Luca D'Acierno, Antonio Di Pasquale, Fabio Mottola, Mario Pagano
Summary: The operators of the railway industry are currently undergoing a significant energy transition to improve environmental sustainability and energy efficiency. This entails updating technological infrastructures and studying new operating solutions. Furthermore, the operators are searching for power quality solutions due to the business opportunities in the new rail market.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Andrea Altomonte, Antonio Bracale, Pierluigi Caramia, Pasquale De Falco, Giovanni Di Ilio, Luigi Pio Di Noia, Elio Jannelli, Renato Rizzo
Summary: This paper analyzes and simulates the power unit of a hybrid fuel cell/battery truck with an electric motor, aiming to implement cleaner technology in the propulsion of heavy-duty vehicles and reduce the environmental impact of the port-logistic industry.
2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT
(2023)
Proceedings Paper
Energy & Fuels
Antonio Bracale, Pierluigi Caramia, Guido Carpinelli, Pasquale De Falco, Angela Russo
Summary: Dynamic Transformer Rating (DTR) is a method for optimizing transformer performance under time-varying load and/or environmental conditions. Recent studies suggest that DTR should consider limitations on current, Hottest-Spot Temperature (HST), and Top-Oil Temperature (TOT) simultaneously. This paper proposes a novel probabilistic approach to predict the probability of these limits being exceeded and provide warnings if the probability is below a threshold.
2022 17TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Mohammad Rayati, Mokhtar Bozorg, Mauro Carpita, Pasquale De Falco, Pierluigi Caramia, Antonio Bracale, Daniela Proto, Fabio Mottola
Summary: This paper evaluates the effectiveness of forecasting and optimization algorithms on a laboratory platform that mimics a domestic distribution grid with a high penetration of photovoltaic systems. The algorithms ensure efficient and secure real-time operation of the grid and the provision of flexibility services. Uncertainties arise from variations in power production and consumption, as well as real-time deployment of flexibility services.
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022)
(2022)
Proceedings Paper
Energy & Fuels
Antonio Bracale, Pierluigi Caramia, Pasquale De Falco, Enrica Di Mambro, Pietro Varilone, Paola Verde
Summary: This paper analyzes the impact of Synchronous Compensators (SyCs) on the robustness of networks with a high share of Renewable Energy Sources (RES) during short-circuit conditions. The utility of different SyC installations and configurations is investigated through a real case study using robustness indices tailored for this purpose.
2022 20TH INTERNATIONAL CONFERENCE ON HARMONICS & QUALITY OF POWER (ICHQP 2022)
(2022)
Proceedings Paper
Energy & Fuels
Antonio Bracale, Pierluigi Caramia, Pasquale De Falco, Guido Carpinelli
Summary: This paper investigates probabilistic forecasting methods for predicting waveform distortion indices. The results show that using the quantile regression model and principal component analysis can effectively predict waveform distortion indices in power systems.
2022 20TH INTERNATIONAL CONFERENCE ON HARMONICS & QUALITY OF POWER (ICHQP 2022)
(2022)
