Article
Computer Science, Information Systems
Zheng Wang, Guangfu Li, Jia Ren
Summary: This paper proposes a hybrid algorithm that combines global and local path planning for USV, effectively solving the problems of path optimization and dynamic obstacle avoidance during missions in complex offshore areas using improved PSO and APF algorithms.
COMPUTER COMMUNICATIONS
(2021)
Article
Engineering, Chemical
Luobing Chen, Zhiqiang Hu, Fangfang Zhang, Zhongjin Guo, Kun Jiang, Changchun Pan, Wei Ding
Summary: To address the shortcomings of manual inspection in wind farms, intelligent inspection robots are introduced and a new path-planning algorithm based on chaotic neural network and genetic algorithm is proposed. The results show that the algorithm can generate shorter inspection paths.
Article
Energy & Fuels
Ivana Racetin, Nives Ostojic Skomrlj, Marina Peko, Mladen Zrinjski
Summary: The aim of this study is to determine suitable locations for offshore wind farm in Croatian part of the Adriatic Sea using marine spatial planning. Based on wind speed, four potential points have been identified for further research and potential installation of offshore wind turbines.
Article
Energy & Fuels
Ti Zilong, Deng Xiao Wei
Summary: This study introduces a novel coupling approach considering the impact of inhomogeneous wave loads on monopile-supported wind turbines in wind farm layout optimization.
By optimizing the layout, the total wave load of the wind farm can be minimized while maintaining a favorable annual energy production.
Experimental results show that the coupling optimization has significant benefits in reducing wave loads by 20.1%-40.5% while still preserving a favorable amount of AEP.
Article
Energy & Fuels
Yanfang Chen, Young Hoon Joo, Dongran Song
Summary: This study aims to improve the economic profit of offshore wind farms by conducting multi-objective optimization via decoupled group operations of turbines. By dividing the wind farm into several subsets and considering total output power, total fatigue load, and fatigue load dispatch on a single wind turbine as optimization objectives, the combined Monte Carlo and beetle swarm optimization algorithms are applied to achieve balanced results.
Article
Automation & Control Systems
Tengjun Zuo, Yuchen Zhang, Ke Meng, Ziyuan Tong, Zhao Yang Dong, Yang Fu
Summary: This article introduces a hybrid optimization approach to balance economic efficiency and stable outputs in the planning of OWF collector systems. By combining algorithms in heuristic and deterministic optimization categories, the design achieves improved economic efficiency and stable outputs for offshore wind farms.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Sung-ho Hur
Summary: A new control strategy of sharing controllers/converters for wind turbines is proposed to improve reliability and energy yield, especially for offshore wind turbines. The Matlab/Simulink model is utilized for simulation of each turbine, as well as for simulating clusters of multiple turbines.
Article
Geography, Physical
Tao Liu, Ruiqi Shen, Zhengling Lei, Yuchi Huo, Jiansen Zhao, Xiaogang Xu
Summary: This study proposes a UAV path planning method for offshore ship 3D reconstruction, which takes wind disturbance into consideration and meets reconstruction efficiency requirements.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Green & Sustainable Science & Technology
Sara Porchetta, Domingo Munoz-Esparza, Wim Munters, Jeroen van Beeck, Nicole van Lipzig
Summary: Offshore wind energy has been steadily increasing as an ideal alternative energy source. This study shows the power production and wake lengths of 1250 offshore wind turbines in the German Bight, highlighting the significant impact of waves on wind farm power production and wake lengths in the offshore wind environment.
Article
Automation & Control Systems
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang, Frank Eliassen, Kai Strunz
Summary: This article discusses the importance and challenges of using UAVs for wind turbine inspection, proposing optimization problems to reduce the number of drones and inspection time, taking into account the impact of wind on the UAVs' flying range and speed. Simulation results demonstrate that the proposed methods can effectively determine the optimal routing path for UAVs during the inspection.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Huai-Wei Lo, Chao-Che Hsu, Bo-Cheng Chen, James J. H. Liou
Summary: Choosing suitable sites is crucial for offshore wind power development. This study proposes a hybrid model using grey DANP and P-GRA methods to select the optimal alternative. The model optimizes traditional methods and demonstrates feasibility through a case study in Taiwan.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Siyu Tao, Qingshan Xu, Andres Feijoo, Gang Zheng
Summary: A bi-level multi-objective optimization framework is proposed in this study to design the configuration of wind turbines and the topology of the electrical collector system in an offshore wind farm for better performance. The outer-layer model optimizes the daily profit rate, daily average capacity factor, and power quality, while the inner layer models determine the electrical system topology and generation schedule of other generators.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Gaia Brussa, Mario Grosso, Lucia Rigamonti
Summary: Mitigation of climate change can be achieved through consistent actions to reduce emissions from the energy sector. The use of renewable energy technologies, such as offshore wind power, has become a cost-effective option for transitioning to low emission power generation systems. This study presents a life cycle assessment of a floating offshore wind farm, demonstrating its promising potential and competitiveness compared to other renewable energy generation technologies.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Automation & Control Systems
Inhye Bang, Byung-In Kim, Yonggu Kim
Summary: This study proposes a design methodology for efficient AMR routing in a factory with limited workspace, utilizing a virtual grid layout with direction constraints. Simulation experiments conducted on two factories using FlexSim demonstrated that AMR routing with the proposed virtual grid layout outperformed traditional guided path-based routing and unrestricted AMR routing in terms of average lead-time and number of deadlocks.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Energy & Fuels
Xiangyong Feng, Shunjiang Lin, Wanbin Liu, Weikun Liang, Mingbo Liu
Summary: Multi-terminal voltage source converter-based high-voltage direct current (VSC-MTDC) transmission technology is important for connecting adjacent offshore wind farms (OWFs) to power systems. An optimal dispatch model for VSC-MTDC connected OWF clusters is proposed, considering wind speed uncertainty. The model optimizes unit commitment and active power output of wind turbines under worst joint probability distribution (JPD) of wind speeds.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Article
Engineering, Marine
Di Zhang, Zhepeng Han, Kai Zhang, Jinfen Zhang, Mingyang Zhang, Fan Zhang
Summary: In this paper, a hybrid method called hybrid causal logic (HCL) is proposed to conduct a preliminary hazard analysis for level III maritime autonomous surface ships (MASS). By combining conventional ship data and MASS experiments, this method analyzes mechanical events, events involving human factors, and their influence on accident probability. The results provide valuable information for MASS design and safety assessment.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Jiongjiong Liu, Jinfen Zhang, Xinping Yan, C. Guedes Soares
Summary: The increasing attention and development of intelligent ship technologies have enabled the possibility of real applications in merchant shippings. The mixture of conventional and intelligent ships is expected to be the future scenario. Decision-making models for collision avoidance are formulated based on safety requirements and COLREGs principles for both conventional and intelligent ships. A collision-avoidance intention notification mechanism is established for sequential decision-making and real-time updates.
Article
Engineering, Industrial
Sheng Xu, Ekaterina Kim, Stein Haugen, Mingyang Zhang
Summary: A Bayesian Network model has been developed in this study to predict the probability of ship besetting in ice in a convoy operation along the Northern Sea Route (NSR). Through expert elicitation, four scenarios causing the first assisted ship to beset in ice have been identified. The model has been evaluated and validated using real NSR voyage scenarios.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Oceanography
Xinyu Wang, Zhao Liu, Ran Yan, Helong Wang, Mingyang Zhang
Summary: The COVID-19 outbreak has had a significant impact on port traffic and ship visiting behaviors. This study proposes a framework to analyze the impact of COVID-19 on port congestion using AIS data. The results show that the outbreak has led to increased anchoring and berthing time, as well as increased ship density in the port area. The study suggests relevant improvements and countermeasures to enhance port navigation efficiency.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Engineering, Marine
Quandang Ma, Dingze Zhang, Chengpeng Wan, Jinfen Zhang, Nengchao Lyu
Summary: This article proposes an optimization model to improve the allocation efficiency of maritime emergency resources and the performance of MSAR operations. By predicting accident numbers, identifying accident black-spots, and using genetic algorithm to determine the optimal resource allocation strategy, the article shows that the strategies can meet actual requirements.
Article
Engineering, Industrial
Mingyang Zhang, Pentti Kujala, Spyros Hirdaris
Summary: This paper presents a big data analytics method for evaluating the risk of ship groundings. The method uses data from the Automatic Identification System (AIS), nowcast data, and seafloor depth data to identify potential grounding scenarios and quantify the probabilistic risk at observation points along ship routes. Results show that the estimation of grounding probabilistic risk can vary significantly depending on voyage routes, observation points, and operational conditions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Shanshan Fu, Yuerong Yu, Jihong Chen, Yongtao Xi, Mingyang Zhang
Summary: The paper presents a framework for quantitative analysis of the causation of grounding accidents in Arctic shipping using an AcciMap - Bayesian network model. The framework was applied to analyze a cruise ship grounding accident, demonstrating improved understanding of risk factors, identification of critical risk factors, and determination of risk control options.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Marine
Chi Zhang, Di Zhang, Mingyang Zhang, Jinfen Zhang, Wengang Mao
Summary: The increasing shipping activities in the Arctic area present challenges for ship safety and fuel saving. This paper proposes a multi-objective ice routing model to find optimal routes considering ice data for minimizing fuel consumption and navigation risk.
Article
Engineering, Marine
Lei Liu, Ryuichi Shibasaki, Yong Zhang, Naoki Kosuge, Mingyang Zhang, Yue Hu
Summary: This paper presents a framework for extracting global maritime shipping traffic networks using automatic identification system (AIS) data and machine learning methods. The framework successfully extracts maritime shipping networks containing 2769 berthing areas and 2688 waypoint areas, which can be used to analyze navigation speed and flow size between nodes. Furthermore, distance-based route planning is more stable even when considering node connection probabilities. In conclusion, the proposed framework and methods provide a comprehensive approach to obtain and analyze maritime shipping traffic networks, and enrich route planning methods by considering historical navigation patterns.
Article
Engineering, Marine
Lei Liu, Mingyang Zhang, Yue Hu, Wei Zhu, Sheng Xu, Qing Yu
Summary: This paper develops a probabilistic analytics method to evaluate the ship-buoy contact risk and identify the striking ship. It combines buoy domain and bounding box models and utilizes AIS data and navigational buoy data. The method determines the safety boundary of the buoy and analyzes the interaction between ship and buoy bounding boxes to identify the real striking ship.
Article
Engineering, Industrial
Jinfen Zhang, Jiongjiong Liu, Spyros Hirdaris, Mingyang Zhang, Wuliu Tian
Summary: In this article, a method is proposed which uses AIS data to guide ship collision avoidance decisions. The method accurately extracts ship collision avoidance behavior and ensures navigation safety.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Lixian Fan, Meng Zhang, Jingbo Yin, Jinfen Zhang
Summary: This study focuses on the effect of Port State Control on maritime safety and utilizes factor analysis and Bayesian network analysis to investigate the dynamic impact of different ship defect levels on ship accidents. The findings provide recommendations for optimizing inspection processes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Marine
Xiaoli Yuan, Chengji Yuan, Wuliu Tian, Gan Liu, Jinfen Zhang
Summary: Path planning is crucial for safe navigation of inland ferries. This study proposes a reinforced deep learning method for path planning of ferries considering both economy and safety. The method is verified to be effective through case studies.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Da Wu, Wuliu Tian, Xiao Lang, Wengang Mao, Jinfen Zhang
Summary: Accurate information regarding sea ice concentration is crucial for the safe and efficient navigation of ships along the Northern Sea Route, but the existing sea ice concentration forecasts have their limitations. This study proposes a statistical interpolation method to reduce errors from traditional approaches, and introduces an autoregressive integrated moving average model for short-term sea ice concentration forecasts. The validity of the model has been confirmed through comparison with ensemble experiments, and it shows potential in facilitating effective management of Arctic shipping along the Northern Sea Route.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Marine
Alba Ricondo, Laura Cagigal, Beatriz Perez-Diaz, Fernando J. Mendez
Summary: This research presents a site-specific metamodel based on the SWASH numerical model simulations, which can predict coastal hydrodynamic variables in a fast and efficient manner. The metamodel uses downscaled and dimensionality reduced synthetic database to accurately reproduce wave setup, wave heights associated with different frequency bands, and wave runup. This method has great potential in coastal risk assessments, early warning systems, and climate change projections.
Article
Engineering, Marine
Xiao Yu, Wangjun Ren, Bukui Zhou, Li Chen, Xiangyun Xu, Genmao Ren
Summary: This study investigated and compared the compression responses and energy absorption capacities of coral sand and silica sand at a strain rate of approximately 1000 s-1. The results showed that coral sand had significantly higher energy absorption capacity than silica sand due to its higher compressibility. The study findings suggest that using poorly graded coral sand can improve its energy absorption capacity.
Article
Engineering, Marine
Jingxi Zhang, Junmin Mou, Linying Chen, Pengfei Chen, Mengxia Li
Summary: This paper proposes a cooperative control scheme for ship formation tracking based on Model Predictive Control. A predictive observer is designed to estimate the current motion states of the leader ship using delayed motion information. Comparative simulations demonstrate the effectiveness and robustness of the proposed controller.
Article
Engineering, Marine
Yu Yao, Danni Zhong, Qijia Shi, Ji Wu, Jiangxia Li
Summary: This study proposes a 2DH numerical model based on Boussinesq equations to investigate the impact of dredging reef-flat sand on wave characteristics and wave-driven current. The model is verified through wave flume experiments and wave basin experiments, and the influences of incident wave conditions and pit morphological features on wave characteristics are examined.
Article
Engineering, Marine
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Summary: This study investigates the double-average turbulence characteristics of combined wave-current flow over a rough bed with different spacing arrangements. The results show that a spacing ratio of p/r=4 offers the highest resistance to the flow, and the double-average Reynolds stress decreases throughout the flow depth. The advection of momentum-flux of normal stress shows an increase at the outer layer and a decrease near the bed region after wave imposition. Maximum turbulence kinetic energy production and diffusion occur at different layers. The turbulence structure is strongly anisotropic at the bottom region and near the outer layer, with a decrease in anisotropy observed with an increase in roughness spacing.
Article
Engineering, Marine
Meng Zhang, Lianghui Sun, Yaoguo Xie
Summary: The research proposes a method for online identification of wave bending and torsional moment in hull structures. For structures without large openings, the method optimizes sensor positions and establishes a mathematical model to improve accuracy. For structures with large openings, a joint dual-section monitoring method is proposed to simultaneously identify bending and torsional moments in multiple key cross sections.
Article
Engineering, Marine
Longming Chen, Shutao Li, Yeqing Chen, Dong Guo, Wanli Wei, Qiushi Yan
Summary: This study investigated the dynamic response characteristics and damage modes of pile wharves subjected to underwater explosions. The results showed that the main damaged components of the pile wharf were the piles, and inclined piles had a higher probability of moderate or more significant damage compared to vertical piles. The study also suggested that replacing inclined piles with alternative optimized structures benefits the blast resistance of pile wharves.
Article
Engineering, Marine
I. -C Kim, G. Ducrozet, V. Leroy, F. Bonnefoy, Y. Perignon, S. Bourguignon
Summary: Previous research focused on the accuracy and efficiency of short-term wave fields in specific prediction zones, while we developed algorithms for continuous wave prediction based on the practical prediction zone and discussed important time factors and strategies to reduce computational costs.
Article
Engineering, Marine
Hang Xie, Xianglin Dai, Fang Liu, Xinyu Liu
Summary: This study investigates the load characteristics of a three-dimensional stern model with pitch angle through a drop test, and reveals complex characteristics of pressure distribution near the stern shaft. The study also shows that the vibration characteristics of the load are influenced by the drop height and pitch angle, with the drop height having a greater effect on the high-frequency components.
Article
Engineering, Marine
Hangyuan Zhang, Wanli Yang, Dewen Liu, Xiaokun Geng, Wangyu Dai, Yuzhi Zhang
Summary: The deep-water bridge is more vulnerable to earthquake damage than the bridge standing in air. The larger blocking ratio has a significant impact on the added mass coefficient, which requires further comprehensive study. The generation mechanism of block effect is analyzed using numerical simulation software ANSYS Fluent. The results show that the recirculation zone with focus reduces the pressure on the back surface of the cylinder, resulting in the peak value of in-line force not occurring synchronously with the peak value of acceleration. The change in position and intensity of the recirculation zone with focus, as well as the change in water flow around the cylinder surface, are identified as the generation mechanism of the block effect, which has a 10% influence on the hydrodynamic force. The changing rule of the added mass coefficient with blocking ratio is discussed in detail, and a modification approach to the current added mass coefficient calculation method is suggested. Physical experiments are conducted to validate the modification approach, and the results show that it is accurate and can be used in further study and real practice.
Article
Engineering, Marine
Golnesa Karimi-Zindashti, Ozgur Kurc
Summary: This study examines the performance of an in-house code utilizing a deterministic vortex method on the rotation of circular and square cylinders. The results show that rotational motion reduces drag forces, suppresses fluctuating forces, and increases lift forces. The code accurately predicts vortex shedding suppression and identifies the emergence of near-field wakes in the flow over rotating square cylinders.
Article
Engineering, Marine
George Dafermos, George Zaraphonitis
Summary: The survivability of damaged ships is of great importance and the regulatory framework is constantly updated. The introduction of the probabilistic damage stability framework has rationalized the assessment procedure. Flooding simulation tools can be used to investigate the dynamic response of damaged ships.
Article
Engineering, Marine
Xuyue Chen, Xu Du, Chengkai Weng, Jin Yang, Deli Gao, Dongyu Su, Gan Wang
Summary: This paper proposes a real-time drilling parameters optimization method for offshore large-scale cluster extended reach drilling based on intelligent optimization algorithm and machine learning. By establishing a ROP model with long short-term memory neurons, and combining genetic algorithm, differential evolution algorithm, and particle swarm algorithm, the method achieves real-time optimization of drilling parameters and significantly improves the ROP.
Article
Engineering, Marine
Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Summary: This study investigates the dynamic behavior of a moored submerged floating tunnel (SFT) under tsunami-like waves through numerical simulations and sensitivity tests. The results show that design parameters significantly affect the dynamics of the SFT system and mooring tensions, with shorter-duration and higher-elevation tsunamis having a greater impact.
Article
Engineering, Marine
G. Clarindo, C. Guedes Soares
Summary: Environmental contours are constructed using the Inverse-First Order Reliability Method based on return periods. The paper proposes the use of the Burr distribution to model the marginal distribution of long-term significant wave heights. The newly implemented scheme results in different environmental contours compared to the reference approach.
