A dynamic ship speed optimization method with time horizon segmentation

Tzortzis, George J.; Sakalis, George N.

doi:10.1016/j.oceaneng.2021.108840

Cited by 25 publications

(5 citation statements)

References 23 publications

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“…In order to reduce carbon emissions of the shipping industry, speed optimization and speed reduction are discussed by IMO as candidate short-term measures [ 62 ]. There have been many studies on speed optimization [ [63] , [64] , [65] , [66] ]. Regarding speed reduction, Psaraftis and Kontovas [ 41 ] proposed that reducing speed is an important operational measure to reduce ship emissions and it has important environmental benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of ship speed, operational carbon intensity indicator penalty and charterer profit of time charter ships

Sun,

Wang,

et al. 2023

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Assessment of ship speed, operational carbon intensity indicator penalty and charterer profit of time charter ships

Sun,

Wang,

et al. 2023

Heliyon

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“…In this study, the traditional GA from the pymoo package, developed by Blank and Deb [25], was used to address this problem using Python. Given the potential for daily variations in weather forecasts for each leg of the journey, accuracy is maximized when the optimization procedure is executed at regular intervals [26][27][28]. GA is widely used in a variety of fields [29][30][31][32][33].…”

Section: Optimization Algorithmmentioning

confidence: 99%

Speed Optimization in Bulk Carriers: A Weather-Sensitive Approach for Reducing Fuel Consumption

Shih,

Tzeng,

Cheng

et al. 2023

JMSE

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The maritime industry faces the critical challenge of achieving net-zero greenhouse gas emissions by 2050, as mandated by the International Maritime Organization. This study introduces a novel speed optimization model, designed specifically for bulk carriers operating between two ports. Unlike conventional models that often assume static weather conditions, the proposed model incorporated variable weather conditions at different times of arrivals, as quantified by the Beaufort number (BN) and weather direction, for each leg of the voyage. Fuel consumption was estimated by applying regression to historical voyage data. This study employed a genetic algorithm (GA) to optimize vessel speed and thereby minimize fuel consumption. The model was tested by using different fuel consumption response curves relative to different BNs and weather directions. The results indicated that the proposed method could effectively reduce fuel consumption compared with the historical sailing mode by around 3%. The optimal speed recommendation indicated that the vessel should operate at a higher speed in circumstances associated with relatively low fuel consumption, such as lower BN and following sea conditions. Nonetheless, if it is possible to attain relatively low fuel consumption by adjusting the speed, the GA assesses the viability of this course of action. The study suggests that the predictive accuracy could be further enhanced by incorporating more granular, validated voyage data in future research.

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“…2 (Pedersen and Larsen, 2009). It is vital to improve the accuracy of the ship energy consumption model by obtaining the dynamic relationship between the navigational environment and the ship-engine-propeller operating state (Wang et al, 2018b), and thus effectively describing the dynamic characteristics of the ship propulsion system under different conditions (Tzortzis and Sakalis, 2021;Wang et al, 2020b).…”

Section: White Box Model Of Ship Energy Consumption Predictionmentioning

confidence: 99%

A comprehensive review on the prediction of ship energy consumption and pollution gas emissions

Wang

Huang

et al. 2022

Ocean Engineering

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A dynamic ship speed optimization method with time horizon segmentation

Cited by 25 publications

References 23 publications

Assessment of ship speed, operational carbon intensity indicator penalty and charterer profit of time charter ships

Assessment of ship speed, operational carbon intensity indicator penalty and charterer profit of time charter ships

Speed Optimization in Bulk Carriers: A Weather-Sensitive Approach for Reducing Fuel Consumption

A comprehensive review on the prediction of ship energy consumption and pollution gas emissions

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