Emerging marine environmental pollution and ecosystem disturbance in ship hull cleaning for biofouling removal

DH Kim, AB Alayande, JM Lee, JH Jang, SM Jo… - Science of The Total …, 2024 - Elsevier
Numerous marine sessile organisms adhere to ship hulls and increase the sailing
resistance. Antibiofouling paints are employed to maintain the ship performance. However …

A comprehensive bibliometric analysis and assessment of high-impact research on the berth allocation problem

B Dragović, N Zrnić, A Dragović, E Tzannatos… - Ocean …, 2024 - Elsevier
This paper aims at the identification and assessment of High-Impact Research Papers
(HIRPs) on the Berth Allocation Problem (BAP) research at marine terminals. The BAP …

Operational efficiency optimization method for ship fleet to comply with the carbon intensity indicator (CII) regulation

Q Yuan, S Wang, J Peng - Ocean Engineering, 2023 - Elsevier
Abstract The Carbon Intensity Indicator (CII) is a regulation issued by the International
Maritime Organization to reduce carbon emissions in the shipping industry. However …

Techno-economic analysis for design and management of international green hydrogen supply chain under uncertainty: An integrated temporal planning approach

S Kim, J Park, W Chung, D Adams, JH Lee - Energy Conversion and …, 2024 - Elsevier
The international green hydrogen supply chain (HSC) is anticipated to play a pivotal role in
the ongoing energy transition. Our research endeavors to assess the implications of …

[HTML][HTML] Decarbonization of Short Sea Shipping in European Union: Impact of market and goal based measures

Á Marrero, A Martínez-López - Journal of Cleaner Production, 2023 - Elsevier
Abstract In July 2021, the European Union (EU) published a package of measures for the
decarbonization of maritime transport: Market Based Measures (MBM) and Goal Based …

Decision support system for ship energy efficiency management based on an optimization model

Ç Karatuğ, M Tadros, M Ventura, CG Soares - Energy, 2024 - Elsevier
This paper introduces an innovative decision support system for improving ship energy
efficiency. It combines an engine optimization model and an artificial neural network (ANN) …

Ship order book forecasting by an ensemble deep parsimonious random vector functional link network

R Cheng, R Gao, KF Yuen - Engineering Applications of Artificial …, 2024 - Elsevier
Efficient forecasting of ship order books holds immense significance in the maritime industry,
enabling companies to optimize their operations, allocate resources effectively, and make …

Configuration size optimization of gas-electric hybrid power systems on ships considering energy density and engine load response

S Wu, T Li, F Xu, R Chen, X Zhou, B Wang - Energy Conversion and …, 2024 - Elsevier
Abstract System component sizes and their energy densities impact the long-term ship
energy efficiency and economics, whereas power source load response influences system …

Review of Risk Analysis Studies in the Maritime LNG Sector

M Abdelmalek, C Guedes Soares - Journal of Marine Science and …, 2023 - Springer
This research presents a review and classification of the published work related to applied
risk analysis and risk management in the maritime liquefied natural gas (LNG) sector from …

[HTML][HTML] Review of the IMO initiatives for ship energy efficiency and their implications

M Tadros, M Ventura, C Guedes Soares - Journal of Marine Science and …, 2023 - Springer
This paper presents a review of the different International Maritime Organization (IMO)
initiatives to improve the ship energy efficiency of new and existing ships, which is …