Ship Performance in Actual Seas

Dear Colleagues,

The analysis of ship performance in actual sea conditions involves studying how vessels interact with factors such as wave height, wind forces, currents, and environmental elements to understand their influence on operations, efficiency, safety, and overall functionality. It is crucial to evaluate ships’ propulsive performance in both calm seas and seaway conditions. This has become increasingly important due to stricter regulations set by the International Maritime Organization (IMO) to reduce greenhouse gas emissions. The focus on operational efficiency highlights the significance of predicting a ship's speed in actual seas relative to its engine power, which is a crucial performance indicator for enhancing efficiency. To effectively manage sea conditions, it is necessary to prioritize crew and cargo safety and optimize fuel efficiency based on data derived from on-board monitoring systems combined with weather data. Recent progress in computational resources and algorithms has enabled the possibility of analyzing these data using more sophisticated approaches, such as implementing Machine Learning (ML) algorithms and/or using physical models derived from towing tank tests or Computational Fluid Dynamics (CFD) simulations.

This Special Issue intends to publish the latest progress and achievements in research regarding the performance prediction and analysis of ship performance in actual sea conditions based on sea trial results, on-board monitoring systems, and real-time data, CFD, ML, and hybrid techniques. We invite papers on topics including, but not limited to, the following:

• Full-scale resistance and propulsion in calm water and in waves;
• Performance prediction and analysis with combined CFD, EFD, on-board data, AI, ML, etc.;
• Motion and derived responses in waves;
• Ship hydrodynamics in wind, waves, and/or in restricted/confined waters;
• Intact stability and damaged stability in actual sea environments;
• Scale effects and full-scale ship hydrodynamics;
• Energy Efficiency Existing Ship Index (CII) and Carbon Intensity Index (CII) assessment and ship rating strategy improvements.

Prof. Dr. Simone Mancini
Prof. Dr. Abbas Dashtimanesh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• ship performance and propulsion
• ship hydrodynamics in wind and waves
• ship scale effects
• machine learning (ML)
• supervised and data-driven algorithms
• artificial neural networks (ANN)
• computational fluid dynamics (CFD) simulations
• semi-empirical model
• CII and EEXI