Article
Environmental Studies
Benjamin Lagemann, Elizabeth Lindstad, Kjetil Fagerholt, Agathe Rialland, Stein Ove Erikstad
Summary: The study formulates the selection of alternative fuels and corresponding ship power systems as a bi-objective integer optimization problem, finding that LNG and biofuels have significant impacts on greenhouse gas emissions reductions in shipping. The model identifies LNG as a robust power system choice today, while ammonia produced from renewable electricity appears to be the most cost-effective option for higher emission reduction ambitions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Industrial
Esma Uflaz, Emre Akyuz, Ozcan Arslan, Erkan Celik
Summary: This paper conducts a comprehensive effectiveness analysis of ISM Code implementation using the best-worst method (BWM) to enhance the safety management system (SMS) implementation, providing significant contribution to ship management companies and safety professionals.
Article
Engineering, Marine
Elizabeth Lindstad, Drazen Polic, Agathe Rialland, Inge Sandaas, Tor Stokke
Summary: This paper explores the decarbonization of bulk shipping through optimizing ship design and implementing alternative power. The results indicate that utilizing slender hulls and wind-assisted propulsion systems can significantly reduce energy consumption and greenhouse gas emissions. Furthermore, when combined with zero-carbon fuels, a 100% reduction in greenhouse gas emissions can be achieved.
Article
Engineering, Marine
Dimas Angga Fakhri Muzhoffar, Kunihiro Hamada, Yujiro Wada, Yusuke Miyake, Shun Kawamura
Summary: The application of big data in maritime logistics has significant impact on ship development. This study developed a ship-planning support system based on big data, incorporating cost and greenhouse gas emissions considerations, providing optimization solutions for ship allocation and determination of ship specifications.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
R. Vettor, C. Guedes Soares
Summary: This study investigates different methodologies for predicting the uncertainties in ship fuel consumption, including ensemble weather forecasts, probabilistic approaches, and a classical first-order second-moment method. By comparing the results from different methods, it is found that the actual fuel consumption falls within the predicted range with reasonable agreement.
Article
Oceanography
Lingyue Li, Yi Pan, Suixiang Gao, Wenguo Yang
Summary: Ship emissions have become a major source of air pollution, and establishing emission control areas is crucial for reducing pollution. Ship operators may use evasion strategies to reduce costs, which impacts emissions and implementation benefits. Therefore, it is important to incorporate ship's evasion strategies into the design and assessment process of emission control areas to achieve the desired emission reduction target.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Engineering, Civil
Ralf Bruns, Jurgen Dunkel, Serif Seremet
Summary: Maritime surveillance systems are crucial for ensuring smooth and safe maritime traffic. This paper proposes an extension to the Bat4CEP rule learning approach to meet the specific requirements of the maritime domain. By including temporal-spatial operators and domain-specific functions in the rule language, complex maritime situations can be expressed in a simplified and understandable form. Extensive experiments with real maritime data streams demonstrate the effectiveness of the approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Physical
Mohamed S. Selim, Nesreen A. Fatthallah, Shimaa A. Higazy, Zhifeng Hao, Ping Jing Mo
Summary: By controlling the structures and distribution of nanofillers in the silicone matrix, the self-cleaning and antifouling properties of the coatings can be influenced. The PDMS/GO-γ-AlOOH nanorod composite demonstrated better antibacterial activity and lower biodegradability percentage compared to the PDMS/RGO nanocomposite.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Energy & Fuels
Seongwon Seo, Greg Foliente
Summary: This research investigates sustainable retrofit methods to reduce the carbon footprint of existing residential buildings, categorizing energy use into different building age brackets and dwelling types to achieve targeted energy efficiency ratings. Results show that upgrading with insulation and double-glazed windows leads to faster environmental benefits than financial benefits, with building type and remaining lifecycle period being key factors influencing payback periods. Retrofitting older detached dwellings shows the greatest potential for energy and carbon savings in the case suburb.
Article
Computer Science, Interdisciplinary Applications
Ran Yan, Shuaian Wang, Chuansheng Peng
Summary: Port state control inspection is crucial for marine safety, and developing accurate prediction models for ship detention is challenging due to imbalanced inspection records dataset. The proposed balanced random forest (BRF) model shows promising results in identifying detained ships at the Hong Kong port, achieving an average improvement of 73.72% in ship identification efficiency compared to the current method.
JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Shaobo Wang, Yingjun Zhang, Xiuguo Zhang, Zongjiang Gao
Summary: This study develops a novel Maritime Autonomous Navigation Decision-making System (MANDS) and successfully carries out real ship trials of autonomous navigation. The system integrates four different navigation tasks and has been tested and verified in both a simulation-based environment and real ship trials.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Marine
Yuqi Zhang, Chaofeng Li, Shaopeng Shang, Xinqiang Chen
Summary: To improve ship identification and segmentation under adverse weather conditions, we propose SwinSeg, a hybrid network combining Swin Transformer and lightweight MLP. We also collected and labeled a semantic segmentation dataset of marine ships, named SeaShipsSeg, which includes 1200 visible ship images and covers six common ship types. Experimental results show that our method outperforms state-of-the-art methods in terms of segmentation accuracy, robustness, and efficiency.
Article
Oceanography
Runfo Li, Xinyu Zhang, Lingling Jiang, Zaili Yang, Wenqiang Guo
Summary: This paper proposes a mixed-integer linear programming model and a reinforcement learning algorithm based on genetic simulated annealing to optimize ship scheduling in ports, aiming to minimize the total time spent by ships in port. Simulation experiments demonstrate that the proposed algorithm can significantly reduce the total time spent by ships in port compared to existing approaches.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Biotechnology & Applied Microbiology
Joseph Dahlgren, Lauren Foy, Kelli Hunsucker, Harrison Gardner, Geoff Swain, Shane J. Stafslien, Lyndsi Vanderwal, James Bahr, Dean C. Webster
Summary: This study assessed the grooming performance of three experimental biocide-free siloxane polyurethane fouling-release coatings. The study found that marine fouling on these coatings can be controlled via grooming without damage or changing the surface properties.
Article
Engineering, Marine
Tao Liu, Xiang Xu, Zhengling Lei, Xiaocai Zhang, Mei Sha, Fang Wang
Summary: Trajectory prediction is crucial for intelligent navigation, but the navigation behaviors of other ships may cause collision risks that directly affect the own ship's navigation. To address this, a Multi-Task Deep Learning Model is proposed in this study, which can simultaneously predict the ship trajectory and potential collision risk by exploiting the interaction between ships. The method improves prediction accuracy by constructing virtual channel center points and utilizing soft collision risk classification labels.
Review
Engineering, Marine
D. A. Wahab, E. Blanco-Davis, A. K. Ariffin, J. Wang
Article
Engineering, Marine
Vasilij Djackov, Tomas Zapnickas, Jonas Cerka, Rima Mickeviciene, Zydrunas Asmontas, Lukas Norkevicius, Ieva Ronkaityte, Peilin Zhou, Eduardo Blanco-Davis
Article
Engineering, Marine
Shiqi Fan, Jinfen Zhang, Eduardo Blanco-Davis, Zaili Yang, Jin Wang, Xinping Yan
Article
Engineering, Multidisciplinary
Shiqi Fan, Zaili Yang, Eduardo Blanco-Davis, Jinfen Zhang, Xinping Yan
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2020)
Article
Engineering, Marine
Shiqi Fan, Jinfen Zhang, Eduardo Blanco-Davis, Zaili Yang, Xinping Yan
Article
Engineering, Marine
Daozheng Huang, Yimin Hua, Sean Loughney, Eduardo Blanco-Davis, Jin Wang
Summary: The research compares the lifespan costs of three main alternatives for complying with the 2020 global sulphur emission regulation, finding that larger vessels, lower discount rates, and higher mixed fuel prices make the scrubber option more attractive. If future refining technology of low-sulphur fuel improves and price differentials decrease, the fuel-switch alternative could be as competitive as using a scrubber in terms of lifespan cost. Additionally, as the discount rate increases, the cost gap between using a scrubber and the other two alternatives gradually decreases.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT
(2021)
Review
Engineering, Marine
Hassan Oraith, Eddie Blanco-Davis, Zaili Yang, Ben Matellini
Summary: This paper investigates the impact of human factors on the safety of maritime pilotage operations through literature review, case analysis, and expert interviews, developing a structural hierarchy diagram for identified risk factors. Findings benefit the maritime industry by identifying causal factors contributing to maritime pilotage disasters and offering effective risk reduction strategies to reduce human error during pilotage operations.
JOURNAL OF MARINE SCIENCE AND APPLICATION
(2021)
Article
Oceanography
Shiqi Fan, Eduardo Blanco-Davis, Stephen Fairclough, Jinfen Zhang, Xinping Yan, Jin Wang, Zaili Yang
Summary: Psychological factors are a critical cause of human errors in various sectors, but little research has been done in the maritime industry, despite the significant contribution of human errors to shipping accidents. This study introduces a conceptual framework for assessing seafarer psychological factors using neurophysiological analysis. The framework enables quantitative assessment of psychological factors, and can be used to test, verify, and train seafarers' behaviors for ship safety.
OCEAN & COASTAL MANAGEMENT
(2023)
Article
Engineering, Marine
Matthew Knight, Eduardo Blanco-Davis, Oliver Platt, Milad Armin
Summary: This report aims to analyze the potential of hydrogen as a future fuel source by performing a life-cycle assessment. The results show that hydrogen has great potential to convert marine transport to operating off green fuels when powered through low-carbon energy sources. However, without global infrastructure change, hydrogen will remain as a potential fuel rather than a common one.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Hossein Seyfi, David Hitchmough, Milad Armin, Eddie Blanco-Davis
Summary: This study explores methods for reducing air pollution in the shipping industry, particularly in port areas. It investigates the potential use of fuel cells as a substitute for diesel generators. Ports face significant environmental pollution challenges, making further research on fuel cell technologies necessary. The study compares different types of commercial fuel cells suitable for a case study vessel, ultimately identifying the proton-exchange membrane cell type as the most suitable option. Based on the input fuel, ammonia-based hydrogen storage and ammonia reforming unit for pure hydrogen production were found to be promising options. The study provides an integrated fuel cell module and evaluates the economic, environmental, and maintenance aspects of implementing the proton-exchange membrane fuel cell module. Additionally, it highlights the space requirements for implementing fuel cell technology at sea.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Behavioral Sciences
Shiqi Fan, Eduardo Blanco-Davis, Jinfen Zhang, Alan Bury, Jonathan Warren, Zaili Yang, Xinping Yan, Jin Wang, Stephen Fairclough
Summary: The study found that neurovascular activation in the right lateral area of the prefrontal cortex changed significantly during watchkeeping and decision-making tasks. Graph-theoretic analysis showed that connectivity density decreased during decision-making but increased during preparation for evasive maneuvers. Network measures were associated with behavioral outcomes, affecting the ability to spot target vessels and perform evasive maneuvers.
BRAIN AND BEHAVIOR
(2021)
Article
Engineering, Industrial
Shiqi Fan, Eduardo Blanco-Davis, Zaili Yang, Jinfen Zhang, Xinping Yan
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Marine
Gregory Asuelimen, Eduardo Blanco-Davis, Jin Wang, Zaili Yang, Dante Benjamin Matellini
JOURNAL OF MARINE SCIENCE AND APPLICATION
(2020)
Article
Management
Ayman Alghanmi, Zaili Yang, Eduardo Blanco-Davis
INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS
(2020)
Article
Engineering, Marine
C. L. Kelly, E. Blanco-Davis, C. Michailides, P. A. Davies, J. Wang
JOURNAL OF MARINE SCIENCE AND APPLICATION
(2018)
