Application, opportunities, and challenges of digital technologies in the decarbonizing shipping industry: a bibliometric analysis

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

A Bibliometric and Systematic Review of Carbon Footprint Tracking in Cross-Sector Industries: Emerging Tools and Technologies

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4205 - 4205

Published: May 7, 2025

The Paris Agreement’s pressing global mandate to limit warming 1.5 degrees Celsius above pre-industrial levels by 2030 has placed immense pressure on energy-consuming industries and businesses deploy robust, advanced, accurate monitoring tracking of carbon footprints. This critical issue is examined through a systematic review English-language studies (2015–2024) retrieved from three leading databases: Scopus (n = 1528), Web Science 1152), GreenFILE 271). selected literature collectively highlights key footprint methods. resulting dataset subjected bibliometric scientometric analysis after refinement deduplication screening, based the PRISMA framework. Methodologically, integrated following: (1) evaluating long-term trends via Mann–Kendall Hurst exponent tests; (2) exploring keywords country-based contributions using VOSviewer (v1.6.20); (3) applying Bradford’s law scattering Leimkuhler’s model; (4) investigating authorship patterns networks Biblioshiny (v4.3.0). Further, eligibility criteria, 35 papers were comprehensively reviewed investigate emerging technologies such as life cycle assessment (LCA), machine learning (ML), artificial intelligence (AI), blockchain, data analytics. study identified main challenges: (a) lack industry-wide standards approaches; (b) real-time dynamic emissions LCA; (c) need for robust frameworks interoperability these technologies. Overall, our identifies current state tools used in cross-sectors industries, buildings, construction, transportation provides valuable insights industry practitioners, researchers, policymakers develop uniform, integrated, scalable, compliant systems support shift low-carbon sustainable economy.

Language: Английский

Energy consumption and emission analysis for electric container ships

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 261, P. 107505 - 107505

Published: Nov. 30, 2024

Language: Английский