Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/148465
Title: An integrated analysis of bibliographic trends with AIS-based vessel operational data for the evaluation of alternative fuels
Authors: Sadiq, Muhammad
Apap, Maurice
Licari, John
Caruana, Cedric
Su, Chun-Lien
Lin, Tzu-Chiao
Micallef, Alexander
Keywords: Merchant ships -- Fuel systems -- Environmental aspects
Hydrogen as fuel -- Safety measures
Ammonia -- Safety measures
Ship propulsion, Electric
Harbors -- Power supply
Issue Date: 2026
Publisher: Institute of Electrical and Electronics Engineers
Citation: Sadiq, M., Apap, M., Licari, J., Caruana, C., Su, C. L., Lin, T. C., & Micallef, A. (2026). An Integrated Analysis of Bibliographic Trends with AIS-Based Vessel Operational Data for the Evaluation of Alternative Fuels. IEEE Transactions on Industry Applications. doi: 10.1109/TIA.2026.3654485
Abstract: The transition to low and zero-carbon fuels is essential for reducing emissions from shipping. This paper develops a combined framework to evaluate hydrogen and ammonia as alternatives to marine diesel oil by linking bibliographic research trends with vessel-level operational data. A bibliographic review of 1,174 publications published between 2000 and 2025 identifies clusters related to safety, performance, and infrastructure, with increasing activity influenced by international decarbonization policies. To complement this analysis, automatic identification system (AIS) data are used from two representative vessels: a high-speed ferry completing 2,265 annual trips and a deep-sea container ship with multiple long-haul voyages. The operational data are processed to reconstruct propulsion energy demand and compare fuel requirements in terms of mass, volume, and range. The results show hydrogen is more suitable for shortsea operations, while ammonia proves more practical for longhaul shipping.
URI: https://www.um.edu.mt/library/oar/handle/123456789/148465
Appears in Collections:Scholarly Works - FacEngEE



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