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Dynamic Trim Optimization of a Bulk Carrier Based on Sea State Forecast

https://doi.org/10.2139/ssrn.4634739
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Time-domain TEBEM method for wave added resistance of ships with forward speed
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Marine Propellers and Propulsion
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Powering performance analysis of full-scale ships under environmental disturbances
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On the estimation of ship's fuel consumption and speed curve: A statistical approach
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Vessels fuel consumption forecast and trim optimisation: A data analytics perspective
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Ship voyage optimization for safe and energy-efficient navigation: A dynamic programming approach
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Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions
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Grey-box modeling of an ocean vessel for operational optimization
inferredcites →https://doi.org/10.1016/j.trb.2019.02.004openalex-extracted
Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data
inferredcites →https://doi.org/10.1016/j.trc.2012.09.012openalex-extracted
Speed models for energy-efficient maritime transportation: A taxonomy and survey
inferredcites →https://doi.org/10.1016/j.trc.2014.03.001openalex-extracted
Ship speed optimization: Concepts, models and combined speed-routing scenarios
inferredcites →https://doi.org/10.1016/j.trd.2020.102670openalex-extracted
Voyage optimization combining genetic algorithm and dynamic programming for fuel/emissions reduction
inferredcites →https://doi.org/10.1016/j.trd.2021.102768openalex-extracted
Literature review on emission control-based ship voyage optimization
inferredcites →https://doi.org/10.1109/oceans-genova.2015.7271412openalex-extracted
Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics
inferredcites →https://doi.org/10.1115/omae2014-24296openalex-extracted
Development and Application of Trim Optimization and Parametric Study Using an Evaluation System (SoLuTion) Based on the RANS for Improvement of EEOI
inferredcites →https://doi.org/10.1115/omae2015-41782openalex-extracted
A Study on Resistance Performance for Various Trim Conditions and Bulb Shapes on a Container Ship Under Slow Steaming
inferredcites →https://doi.org/10.1175/1520-0485(1988)018<1775:twmtgo>2.0.co;2openalex-extracted
The WAM Model—A Third Generation Ocean Wave Prediction Model
inferredcites →https://doi.org/10.1177/1475090214540874openalex-extracted
Machine learning approaches for improving condition-based maintenance of naval propulsion plants
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Numerical modelling of propulsion, control and ship motions in 6 degrees of freedom
inferredcites →https://doi.org/10.5957/jsr.2016.60.1.30openalex-extracted
A Study on Trim Optimization for a Container Ship Based on Effects due to Resistance
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