Electrification in Maritime Vessels: Reviewing Storage Solutions and Long-Term Energy Management DOI Creative Commons
Ahmet Aksöz, Burçak Asal, Saeed Golestan

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(10), P. 5259 - 5259

Published: May 8, 2025

Electric and hybrid marine vessels are marking a new phase of eco-friendly maritime transport, combining electricity traditional propulsion to boost efficiency reduce emissions. The industry’s advancements in charging infrastructure strict regulations help these lead the way toward sustainable economically viable future shipping. In this review, electric discussed, including past applications trend demonstrations. This paper systematically analyzes vessels’ energy management battery systems, highlighting advances lithium-based alternative technologies. Additionally, review examines impact technologies on sustainability operational industry. contributes field by presenting holistic view challenges solutions associated with electrification vessels, aiming inform developments policymaking dynamic sector. Unlike many existing reviews that focus exclusively chemistries or algorithms, manuscript integrates multiple aspects electrification—including types, infrastructure, grid systems (MVDC), EMS, BMS, AI applications—into one cohesive systems-level review. cross-sectional integration is particularly rare literature enhances practical value for designers, policymakers, shipbuilders.

Language: Английский

Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives DOI Open Access
Barbara Martini, Denise Bellisario, Paola Coletti

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5448 - 5448

Published: June 26, 2024

The aim of this position paper is to identify a specific focus and the major challenges related human-centered artificial intelligence (HCAI) approach in field Industry 5.0 circular economy. A first step towards opening line research necessary aggregate multidisciplinary interdisciplinary skills promote take into consideration different aspects topic, from more technical engineering social ones repercussions terms sustainability. proposal vision preliminary work discuss suitable for such interaction. This has been identified, specifically, within additive manufacturing (AM) context 5.0. Additive (AM), disruptive opportunity sustainable production systems that can be better optimized with AI, becoming an ideal platform interconnection between levels application integration HCAI concepts, at same time able prove them. In context, two prospective areas high impact are those AM-oriented supply chain product customization AM field, enabled by plethora recently emerging technologies as internet things, cloud edge computing, next-generation networks (5G). concludes poses public policymakers, who face significant policy regulating intelligence, addressing socioeconomic technological impacts. Decision-makers required address these adopting some tentative recommendations.

Language: Английский

Citations

54
Sustainable Maritime Transport: A Review of Intelligent Shipping Technology and Green Port Construction Applications DOI Creative Commons
Guangnian Xiao,

Yiqun Wang,

Ruijing Wu

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(10), P. 1728 - 1728

Published: Oct. 1, 2024

With the global economy’s relentless growth and heightened environmental consciousness, sustainable maritime transport emerges as a pivotal development trajectory for shipping sector. This study systematically analyzes 478 publications searched in Web of Science Core Collection, from 2000 to 2023, utilizing bibliometric methods investigate application areas within industry. begins with an analysis annual publication trends, which reveals substantial expansion research endeavors this discipline over recent years. Subsequently, comprehensive statistical evaluation scholarly journals collaborative network assessment are conducted pinpoint foremost productive journals, nations, organizations, individual researchers. Furthermore, keyword co-occurrence methodology is applied delineate core themes emerging focal points domain, thereby outlining potential directions future research. In addition, drawing on analysis, advancements intelligent technologies green port construction applications discussed. Finally, review discusses existing challenges opportunities theoretical practical perspective. The shows that, terms technology, data security multi-source focus that people need pay attention future; prediction different climates ship types also area ports, Cold Ironing (CI) one key strategy, how drive stakeholders build ports efficiently economically developmental direction. serves enhance researchers’ comprehension current landscape progression technologies, fostering continued advancement exploration vital domain.

Language: Английский

Citations

46
Spatial-Temporal Ship Pollution Distribution Exploitation and Harbor Environmental Impact Analysis via Large-Scale AIS Data DOI Creative Commons
Xinqiang Chen,

Shuting Dou,

Tianqi Song

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(6), P. 960 - 960

Published: June 7, 2024

Ship pollution emissions have attracted increasing attention in the maritime field due to massive growth of traffic activities. It is important identify ship (SEs) magnitude and corresponding spatial temporal distributions for purposes developing appropriate strategies mitigate environment pollution. The aim this study was estimate with various typical merchant types under different sailing conditions. We estimated emission variation a assessment model (STEAM2), then distribution further visualized using ArcGIS. collected data from automatic identification system (AIS) ships New York Harbor analyzed spatiotemporal pollutant ships. experimental results demonstrate that volume area 2022 3340 t, while terms CO, SO2, CXHX, PM10, NOX, PM2.5 136, 1421, 66, 185, 1384, 148 respectively. overall SEs container ships, passenger tankers account large amount discharge. are significantly greater than their counterparts. Moreover, discharge can vary among

Language: Английский

Citations

32
Exploring the factors affecting the performance of shipping companies based on a panel data model: A perspective of antitrust exemption and shipping alliances DOI
Guangnian Xiao, Tian Wang, Wen‐Long Shang

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 253, P. 107162 - 107162

Published: April 26, 2024

Language: Английский

Citations

23
Blockchain Technology for tracking and tracing containers: model and conception DOI
Safia Nasih, Sara Arezki, Taoufiq Gadi

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3, P. 373 - 373

Published: July 5, 2024

The maritime industry has increasingly integrated advanced technologies such as AI, Blockchain, Big Data, and IoT, transforming traditional port operations into smart facilities aimed at enhancing global trade competitiveness. A particular focus been on improving tracking tracing services, with Blockchain technology emerging pivotal for ensuring data integrity, transparency, traceability across supply chains. This article proposes a blockchain-based system model tailored monitoring containers in Moroccan ports. Utilizing the Unified Modeling Language (UML), seeks to optimize resource allocation boost stakeholder satisfaction through detailed diagrams functional requirements depiction. Despite challenges IoT terminal platform connectivity operator resitance, successful implementation was achieved, establishing foundational framework comprehensive container system. provides valuable insights chain professionals scholars interested item tracking, aiming integrate like RFID, GPS, RTLS, QR Codes, BLE, sensors enhance operation efficiency management effectiveness. By leveraging these technologies, ports can further improve operational ensure accurate of throughout chain, contributing overall facilitation economic growth

Language: Английский

Citations

20
Application, opportunities, and challenges of digital technologies in the decarbonizing shipping industry: a bibliometric analysis DOI Creative Commons
Guangnian Xiao, Lei Pan,

Fengbo Lai

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 31, 2025

Introduction As Digital Industry 4.0 advances, shipping operators are progressively implementing digital technologies for maritime decarbonization efforts. Methods This review employs a bibliometric methodology to thoroughly examine and analyze the application of technology in decarbonizing from 2005 2024. Examining 201 publications SCI-EXPANDED SSCI databases elucidates present condition, challenges, prospects applications this domain. Results The demonstrates swift expansion research on within sector via an analysis annual publication trends. Subsequent journal metrics collaborative network with VOSviewer identified particularly prolific journals, nations, institutions, authors. Furthermore, delineates field's principal clusters hotspots keyword co-occurrence analysis, offering direction future investigations. Ultimately, it examines gaps speed optimization, emission prediction, autonomous ships by integrating content recent publications, then proposes prospective options. Discussions Future studies ship optimization could benefit adopting multi-objective methods, combining more machine-learning techniques FCP model, etc. Concerning efforts focus diverse external data sources into prediction models, emerging applications, such as ship-based carbon capture (SBCC), introducing blockchain smart monitoring systems, regarding can further refine optimizing route planning navigation safety, energy efficiency control, communications electrification, green design.

Language: Английский

Citations

17
Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities DOI Creative Commons
Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 5994 - 5994

Published: July 9, 2024

The maritime industry, responsible for moving approximately 90% of the world’s goods, significantly contributes to environmental pollution, accounting around 2.5% global greenhouse gas emissions. This review explores integration artificial intelligence (AI) in promoting sustainability within sector, focusing on shipping and port operations. By addressing emissions, optimizing energy use, enhancing operational efficiency, AI offers transformative potential reducing industry’s impact. highlights application fuel optimization, predictive maintenance, route planning, smart management, alongside its role autonomous logistics management. Case studies from Maersk Line Port Rotterdam illustrate successful implementations, demonstrating significant improvements emission reduction, monitoring. Despite challenges such as high implementation costs, data privacy concerns, regulatory complexities, prospects industry are promising. Continued advancements technologies, supported by collaborative efforts public–private partnerships, can drive substantial progress towards a more sustainable efficient industry.

Language: Английский

Citations

14
The impact of the Maritime Silk Road Initiative on the carbon intensity of the participating countries DOI
Lang Xu,

Chongxi Shen,

Jihong Chen

et al.

Maritime Economics & Logistics, Journal Year: 2024, Volume and Issue: unknown

Published: July 17, 2024

Language: Английский

Citations

12
Impact of Carbon Emission Factors on Economic Agents Based on the Decision Modeling in Complex Systems DOI Open Access
Nikolay Didenko, Djamilia Skripnuk, Sergey Barykin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 3884 - 3884

Published: May 7, 2024

This article presents a methodology for modeling the impact of both internal and external environmental carbon emission factors on resulting indicators an international company. research uses picture fuzzy rough sets to model as method. The proposed is based dataset that includes company’s profit, revenue, valuation, share price, market from 2012 through 2022. empirical period optimal such type modeling. An approach time series endogenous exogenous variables can provide opportunity analyze consider consequences feedback changes in systems which they are part. proposes valuable framework understanding complex relationship between emissions, economic factors, performance companies. researchers this study recommend discussion attempts gain deeper challenges opportunities lie ahead companies context climate change technological innovation.

Language: Английский

Citations

11
Leveraging Large Language Models for Enhancing Safety in Maritime Operations DOI Creative Commons
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1666 - 1666

Published: Feb. 6, 2025

Maritime operations play a critical role in global trade but face persistent safety challenges due to human error, environmental factors, and operational complexities. This review explores the transformative potential of Large Language Models (LLMs) enhancing maritime through improved communication, decision-making, compliance. Specific applications include multilingual communication for international crews, automated reporting, interactive training, real-time risk assessment. While LLMs offer innovative solutions, such as data privacy, integration, ethical considerations must be addressed. concludes with actionable recommendations insights leveraging build safer more resilient systems.

Language: Английский

Citations

2