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Development trend and hotspot analysis of ship energy management

JOURNAL OF CLEANER PRODUCTION (2023)

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Summary: This study proposes a multiobjective formulation to solve the problem of warehouse assignment and carton configuration optimization. A novel DECIPACO model, integrating IPACO and DEC algorithms, is developed to solve the problem. The test results show that the DECIPACO model provides an optimal solution in all cases.

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Carbon footprint model and low-carbon pathway of inland shipping based on micro-macro analysis

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Real time power management strategy for an all-electric ship using a predictive control model

Bo Wang et al.

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Ali Haseltalab et al.

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Zhi-Hong Zhao

Summary: An improved fuzzy-based energy management strategy is proposed for a hybrid power system in a tourist ship. By optimizing the photovoltaic cell, distributing output power, and implementing online control, the strategy can improve system performance, enhance solar energy utilization, and extend the lifespan of batteries and fuel cells.

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A DA-based ECMS for energy optimisation of parallel diesel electric hybrid ship

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Adaptive equivalent consumption minimization strategy for hybrid electric ship

Diju Gao et al.

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Xiaojun Li et al.

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JOURNAL OF CLEANER PRODUCTION (2022)

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Joint optimisation for improving ship energy efficiency considering speed and trim control

Ailong Fan et al.

Summary: Operational optimisation is crucial for reducing energy consumption and emissions in ships. This study proposes a joint optimisation method for speed and trim angle. Using numerical simulation and artificial neural network, the propulsion power and optimal speed for various operating conditions are estimated, and the corresponding optimal trim angle is obtained. Results from a case study with a 7500 ton inland bulk carrier show that the method can reduce total ship power consumption by up to 7.64%.

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JOURNAL OF CLEANER PRODUCTION (2022)

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Review of ship energy efficiency

Julio Barreiro et al.

Summary: This paper aims to provide an overview of the current state of energy efficiency in the marine sector, covering both individual ships and the industry as a whole. The study examines the regulatory framework for energy efficiency in the shipping sector, explores measures implemented on ships to reduce consumption and emissions, investigates potential industry-wide advances, and discusses the main obstacles to implementing these measures.

OCEAN ENGINEERING (2022)

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A novel virtual admittance droop based inertial coordination control for medium-voltage direct current ship with hybrid energy storage

Yunfeng Lin et al.

Summary: This paper introduces a method for energy regulation in Medium-Voltage DC ships, which utilizes a hybrid energy storage system to control the pulse load on the DC bus voltage. By designing a specific virtual impedance structure, both the generator and the energy storage system can handle the power fluctuation at high, medium, and low frequencies.

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A. Ashok Kumar et al.

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HELIYON (2022)

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Machine learning algorithm selection for real-time energy management of hybrid energy ship

Ming Gan et al.

Summary: This paper proposes a real-time energy management strategy based on approximate model predictive control for hybrid energy ships, aiming to address the uncertainty of photovoltaic energy in real time and efficiently connect it to the ship's microgrid. The strategy minimizes operating costs and deviation from the reference state of charge by establishing an energy management framework based on model predictive control. Machine learning algorithms are used to approximate the optimal control action of model predictive control offline, and the performance of different algorithms is analyzed quantitatively. The strategy is validated using a ferry equipped with photovoltaic, and the results demonstrate its effectiveness in optimizing performance and realizing real-time energy management in hybrid energy ships.

ENERGY REPORTS (2022)

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Article Energy & Fuels

Two-level model predictive control energy management strategy for hybrid power ships with hybrid energy storage system

Yijie Zhang et al.

Summary: Compared with ground power systems, the intermittent and random fluctuation of ship load power demand poses challenges to the energy management system of ship power systems. To address this issue, a hybrid energy storage system and a two-level model predictive control strategy are proposed to optimize fuel economy and power distribution.

JOURNAL OF ENERGY STORAGE (2022)

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

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Wenxia Liu et al.

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

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Review Green & Sustainable Science & Technology

A review of ship energy efficiency research and directions towards emission reduction in the maritime industry

Veronica Jaramillo Jimenez et al.

Summary: This study presents a retrospective review of ship energy efficiency literature using a hybrid review method. The outcomes of bibliometric analysis identified five research clusters, and future research directions are proposed for each cluster.

JOURNAL OF CLEANER PRODUCTION (2022)

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Review Engineering, Marine

A review of ship fuel consumption models

Ailong Fan et al.

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OCEAN ENGINEERING (2022)

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Performance-based design of LNG container on small-scale LNG carrier through multi-objective optimization

Chao Ye et al.

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OCEAN ENGINEERING (2022)

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A probabilistic risk-averse approach for energy storage sizing in all-electric ship

Kyaw Hein et al.

Summary: This research adopts a risk-averse approach by coordinating investment and operation stages to ensure optimal operation, effectively solving the optimization problem of energy storage systems in ships.

JOURNAL OF ENERGY STORAGE (2022)

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Review Energy & Fuels

Superconducting magnetic energy storage systems: Prospects and challenges for renewable energy applications

Bukola Babatunde Adetokun et al.

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Article Computer Science, Information Systems

Virtual Testing of Automated Driving Systems. A Survey on Validation Methods

Riccardo Dona et al.

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IEEE ACCESS (2022)

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Article Computer Science, Information Systems

Adaptive Power Management of Hierarchical Controlled Hyrid Shipboard Microgrids

Muhammad Umair Mutarraf et al.

Summary: This paper discusses the features of shipboard microgrids and the increasing popularity of energy storage systems for improving energy management and reducing fuel consumption on ships. It proposes an enhanced energy management scheme that supports diesel generators to operate in the optimum window, leading to significant reductions in fuel consumption, operational costs, and emissions. Additionally, a conventional droop control strategy is adopted for power exchange with the grid during port stays, enhancing the efficiency and reliability of operation.

IEEE ACCESS (2022)

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Article Thermodynamics

Energy management strategy of hybrid energy storage system based on fuzzy control for ships

Wenqing Hu et al.

Summary: This paper investigates the application of lithium-ion batteries and supercapacitors in ships and finds that a fuzzy control strategy can effectively utilize the energy of supercapacitors, improving the system performance. The experimental results demonstrate that supercapacitors can still adapt to power fluctuations during charging and discharging processes, which is significant for the energy distribution and capacity configuration of hybrid energy storage systems (HESS).

INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES (2022)

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Article Engineering, Marine

A new strategic approach of energy management onboard ships supported by exergy and economic criteria: A case study of a cargo ship

Oktay Cetin et al.

Summary: This study primarily developed an energy efficiency strategy framework as the decision support element in ships to support efficient energy management. The results of the study showed that the energy efficiency and exergy efficiency in the sample ship's cruising processes were found as 38.33% and 35.82% respectively.

OCEAN ENGINEERING (2021)

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Article Energy & Fuels

An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm

Yongbing Xiang et al.

Summary: This study introduces a novel double-layer multi-objective optimization method that combines an improved ACO algorithm and ECMS strategy to reduce fuel consumption and minimize deviation. Experimental results demonstrate that this strategy effectively reduces the energy consumption of the entire ship and controls battery power.

ENERGIES (2021)

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Article Engineering, Marine

Two-phase energy efficiency optimisation for ships using parallel hybrid electric propulsion system

Yapeng He et al.

Summary: A two-phase energy efficiency optimization method is proposed in this study, combining speed optimization and energy management, which resulted in a reduction of energy consumption for an inland hybrid-powered bulk carrier. This method can provide methodological support for intelligent energy efficiency management in inland hybrid-powered ships.

OCEAN ENGINEERING (2021)

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Review Energy & Fuels

Control strategy to smooth wind power output using battery energy storage system: A review

Luanna Maria Silva de Siqueira et al.

Summary: In recent years, wind energy has become increasingly important in the global energy structure, but its fluctuations present challenges. Battery energy storage systems are commonly used to smooth wind power output, with research focusing on optimizing control strategies to reduce costs and improve suitability. Current studies primarily utilize PI, Fuzzy, and MPC control strategies, with less emphasis on emerging deep learning technologies in the field of Wind Energy.

JOURNAL OF ENERGY STORAGE (2021)

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MPC-informed ECMS based real-time power management strategy for hybrid electric ship

Peilin Xie et al.

Summary: Shipboard power systems are complex and can suffer from low power quality due to fluctuated propulsion loads. This paper proposes a power management system using an optimization-based method, with an equivalent consumption minimization strategy for real-time optimal power-split between hybrid energy sources while minimizing fuel consumption. The method's performance is evaluated through simulations.

ENERGY REPORTS (2021)

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Predictive power-split system of hybrid ship propulsion for energy management and emissions reduction

Nikolaos Planakis et al.

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)

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Article Thermodynamics

Decarbonising inland ship power system: Alternative solution and assessment method

Ailong Fan et al.

Summary: The shipping industry is transforming towards greening, decarbonisation, and electrification in the context of harsh emission control and ecological environment protection. Research indicates that using battery power and hybrid power can reduce the lifetime CO2 emissions and costs of inland ships, which is significant for guiding the low-carbon development of inland ship power.

ENERGY (2021)

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Article Environmental Studies

Principal-agent problems in decarbonizing container shipping: A panel data analysis

Christopher Dirzka et al.

Summary: The study found that there are principal-agent problems in container shipping leading to increased carbon emissions, while levying a carbon price according to the Paris Agreement targets would also increase operational costs. Recommendations were made for respective carbon policies and incentives to overcome underinvestment in green technologies.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)

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Article Engineering, Marine

MPC Framework for the Energy Management of Hybrid Ships with an Energy Storage System

Spyros Antonopoulos et al.

Summary: This paper introduces an advanced shipboard energy management strategy based on model predictive control, aiming to reduce fuel consumption of ship hybrid power plants while considering battery system constraints. The research demonstrates that this strategy can be applied early in the propulsion design process without the need for parameter tuning for specific operating profiles.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)

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Article Engineering, Marine

Optimisation of a Diesel-Electric Ship Propulsion and Power Generation System Using a Genetic Algorithm

Raphael Zaccone et al.

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)

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Article Computer Science, Information Systems

Sizing and Control of a Hybrid Ship Propulsion System Using Multi-Objective Double-Layer Optimization

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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.

IEEE ACCESS (2021)

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Review Engineering, Electrical & Electronic

The electric propulsion system as a green solution for management strategy ofCO2emission in ocean shipping: A comprehensive review

Hoang Phuong Nguyen et al.

Summary: This paper discusses the importance of selecting and optimizing propulsion architecture when designing modern commercial ships, as well as the challenges faced in the process. It also highlights the benefits brought to ship owners by electrical and hybrid electric propulsion systems in recent years. The authors provide a detailed comparison and analysis of optimizing the choice of electric or hybrid powertrain systems for commercial fleets, and propose strategies for the development of sustainable maritime transport.

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Bi-level optimal sizing and energy management of hybrid electric propulsion systems

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Multi-objective robust early stage ship design optimisation under uncertainty utilising surrogate models

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Model predictive energy management in hybrid ferry grids

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Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship

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Energy management strategy for a short-route hybrid cruise ship: an IGDT-based approach

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