Yupeng Yuan

Multi-agent Based Power and Energy Management System for Hybrid Ships

With the emission regulations becoming increasingly strict, micro-grid system becomes a preferred choice on shipboard, which makes the management and control of the power system a key problem to be solved. The management and control of the smart micro-grid is discussed in this paper. By developing a new electric ship power system based on the existing ship power system, the ship is designed as a hybrid ship. This paper comes up with a new method to design a ship electric power system as well as a power and energy management system based on multi-agent system, which can reduce emission, minimize fuel consumption and improve energy efficiency.

Optimizing ship energy efficiency: Application of particle swarm optimization algorithm

Greenhouse gas emission and subsequent global warming have attracted more and more attention all over the world. As one of the biggest emission sources, shipping industry is suffering great emission reduction pressure from the public. Although shipping industry can improve the energy efficiency by exploring new strategies to reduce the fuel cost and the emission to air, some deficiencies may be discovered in practice due to lack of a comprehensive consideration of other significant factors, such as safety factors. Therefore, energy efficiency management strategies that consider both safety and economy factors have more practical significance for enhancing the ship energy efficiency. In this article, a power supply model considering economy, emission reduction and safety was established, and a multi-objective optimization problem to keep the system working at a high safety level, a low CO2 emission and a moderate fuel consumption was proposed. Furthermore, the particle swarm optimization algorithm was adopted to solve the multi-objective optimization problem, and the obtained non-inferior solutions could help officers on duty to select the optimum main engine speed by weighing the economy and the safety of the ship. The results show that the proposed method of energy efficiency management could reduce the greenhouse gas emission and the energy efficiency operation index (EEOI) of the ship effectively. The trade-off between ship economy, emission and robustness of the power supply system was studied, which is meaningful to the energy efficiency improvement and the CO2 emission reduction under the safety requirement of power supply.

PSO-based method for safe sailing route and efficient speeds decision-support for sea-going ships encountering accidents

Maritime accidents and incidents, such as ship to ship collision or ship grounding, most often occur near ports due to the intensive water traffic and shallow water depth. The occurrence of those accidents place a port in a very dangerous situation, since the port could suffer from a high risk of blockage of port entry, and the consequent economic loss can be substantial. In the case of maritime accidents, it is of great significance for sea-going ships outside of the accident zone to determine a safe and smooth sailing route and efficient speeds at a busy port, thus to reduce the risk of blockage and the economic loss of the port, whilst not disturbing the current emergency logistic response system. In this regard, a decision-making method for safe and smooth sailing route and efficient speeds for sea-going ships encountering an accident can be very valuable. Because of the high nonlinearity of these decisions, PSO algorithm is used to search the safe and smooth sailing route and efficient speeds. The study results show that the proposed method can effectively achieve the safe and smooth sailing route and efficient speeds for ships encountering an accident, thus to be more economic and reduce the risky chance of blockage of the port entry.

A new remote intelligent diagnosis system for marine diesel engines based on an improved multi-kernel algorithm

Due to heavy work load of marine diesel engines, the failure in their mechanical components may result in serious accidents. Existing condition monitoring methods for marine diesel engines usually adopt warning after the failure occurred. In order to predict potential faults, this work has put forward a remote intelligent monitoring system for marine diesel engines. The global system for mobile communication mode was employed to construct the basis of data remote transmission, and a new multi-kernel extreme learning machine algorithm was proposed to diagnose the early faults in an intelligent method. Experimental tests were carried out in the marine diesel engine fault diagnosis set-up. The analysis results show that the proposed remote intelligent monitoring system can accurately, timely and reliably detect the potential failures. Meanwhile, the proposed multi-kernel extreme learning machine was compared with the existing methods. The comparison indicates that the multi-kernel extreme learning machine outperforms its rivals in term of fault detection rate by an increase of 3.4%. Therefore, the proposed remote intelligent monitoring system has good prospects for engineering applications.

Marine engine rotational speed control automatic system based on Fuzzy PID logic controller

The shipping industry plays an important role in the development of nations; especially boundaries laying on the long sea coast like in Vietnam, Japan, South Korea, Philippines, etc. Due to, the main propulsion plant on ship need to maintain and keep at good condition then operating as well as lying on the shore. To keep the main engine rotational speed constant despite of the variable loads like navigation environment (wave, draught, wind and climate), engines working state, equipment condition, etc. In this article, the authors apply the Fuzzy PID logic controller to establish the speed control model of diesel engine. The design algorithm of PID controller in this paper is to adjust the parameters KP, Kd, Ki through fuzzy inference logic based on the model establishment on SIMULINK/ MATLAB between the error e(t) of the desired position set point and the output, and the derivation of error de(t) to make the controlled object attain the good dynamic and static performance.

Study on route division for ship energy efficiency optimization based on big environment data

In the case of the global energy crisis and the higher sound of energy saving and emission reduction, how to take effective management measures of ship energy efficiency to achieve the goal of energy saving and emission reduction, put forward a new challenge for the development of shipping technology. The application of big data technology provides a new idea for the research of ship energy efficiency optimization management. The energy efficiency management level of the operating ship can be improved by the analysis and mining of the big data. In this paper, a big data analysis platform for ship energy efficiency management based on the widely used Hadoop platform architecture is designed. Afterward, due to the huge amount of involved data on the energy efficiency management which has exceeded the processing ability of traditional solutions, the big data analysis method is used to achieve the route division according to environmental factors, thus to lay the foundation for speed optimization in different segments of a route. Finally, a simple decision-making method of optimal engine speed based on the result of route division is proposed, which could improve ship energy efficiency and hence reduce CO2 emission.

Design of ship energy efficiency monitoring and control system considering environmental factors

International Maritime Organization (IMO) proposed the Ship Energy Efficiency Operational Indicator (EEOI) to evaluate the energy efficiency of ships in service. During the implementation of the EEOI, the effective monitoring and optimization management of ship energy efficiency is very important. In this paper, the ship energy efficiency monitoring and control system considering the environmental factors was designed. The system can calculate the EEOI of ship and have real-time displays to monitor current energy efficiency level of the ship by collecting environmental factors and engine fuel consumption data. In addition, the system can automatically output corresponding control signal to make the propulsion system run at the optimum energy efficiency status by running the energy efficiency optimization control model with the consideration of the environmental factors. The designed system can achieve the ship energy efficiency monitoring and optimum control of propulsion system under different environmental factors, thus making the ship run at the optimum energy efficiency level, thereby enhancing the ship energy efficiency and reducing emissions.

Design and development of Canal ship based on overhead wires

Now Canal ship use internal combustion engine as power source which rely on nonrenewable resource and cause air pollution, noise pollution, oil spill pollution. In order to solve the problem, a new type of Canal ship based on overhead wires is designed. Through learning from the operating and construction principle of trolleybus, the overhead wires are set up over the Canal which supply power for the Canal ship. For the sake of solving the problem of variation of water level and route deviation, a new current connection device, route deviation control system and switch tracks system were designed. At the same time, the physical model have been set up. Due to the proportion of clean energy increase yearly, the emission of shore power is lower than internal combustion engine. So, if the canal ship use the shore power instead of internal combustion engine, it can reduce the emission of the ship.

Study and Simulation on the Energy Efficiency Management Control Strategy of Ship Based on Clean Propulsion System

Nowadays, with the higher voice of ship energy saving and emission reduction, the research on energy efficiency management is particularly necessary. Energy efficiency management and control of ships is an effective way to improve the ship energy efficiency. In this paper, according to the new clean propulsion system configurations of 5000 tons of bulk carrier, the energy efficiency management control strategy of the clean propulsion system is designed based on the model of advanced brushless doubly-fed shaft generator, propulsion system using LNG/diesel dual fuel engine and energy consumption of the main engine for reducing energy consumption. The simulation model of the entire propulsion system and the designed control strategy were designed. The influence of the engine speed on the ship energy efficiency was analyzed, and the feasibility of the energy efficiency management control strategies was verified by simulation using Matlab/Simulink. The results show that the designed strategies can ensure the power requirement of the whole ship under different conditions and improve the ship energy efficiency and reduce CO2 emissions.Copyright