Advanced Route Optimization in Ship Navigation

Kobayashi, Eiichi; Yoneda, Syouta; Morita, Atsushi

doi:10.5220/0005033805720577

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…In terms of shipping companies, it can be claimed that energy efficiency begins at the design stage [6] and that ship energy efficiency may be boosted through operational ways in addition to numerous design approaches [7][8][9][10]. To improve operational energy efficiency, methods such as cruise route optimization [11],…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

et al. 2022

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In recent years, shipborne emissions have become a growing environmental threat. The International Maritime Organization has implemented various rules and regulations to resolve this concern. The Ship Energy Efficiency Management Plan, Energy Efficiency Design Index, and Energy Efficiency Operational Indicator are examples of guidelines that increase energy efficiency and reduce shipborne emissions. The main engine shaft power (MESP) and fuel consumption (FC) are the critical components used in ship energy efficiency calculations. Errors in ship energy efficiency calculation methodologies are also caused by misinterpretation of these values. This study aims to predict the MESP and FC of a container ship with the help of data-driven methodologies utilizing actual voyage data to assist in the calculation process of the ship’s energy efficiency indexes appropriately. The algorithms’ prediction success was measured using the RMSE, MAE, and R2 error metrics. When the simulation results were analyzed, the Deep Neural Network and Bayes algorithms predicted MESP best with 0.000001 and 0.000002 RMSE, 0.000987 and 0.000991 MAE, and 0.999999 R2, respectively, while the Multiple-Linear Regression and Kernel Ridge algorithms estimated FC best with 0.000208 and 0.000216 RMSE, 0.001375 and 0.001471 MAE, and 0.999999 R2, respectively.

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Section: Introduction 1backgroundmentioning

confidence: 99%

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

et al. 2022

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Investigating the influence of e-navigation and S-100 over the computation of the weather route

Palma,

Giglio,

Tei

2024

WMU J Marit Affairs

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The weather route presents significant potential in identifying the most efficient route for vessels, enabling the optimisation of distance, time, or fuel consumption. Although there have been notable advancements in most technologies in recent years, weather routing has failed to keep pace with these developments. The purpose of this document is to determine whether a specific IMO’s concept called e-navigation may have an impact on vessel’s route optimisation. Today, mariners are required to integrate heterogeneous data types (hydrographic, weather, oceanographic, etc.) that are transmitted on board via various devices and in diverse formats in order to execute weather routing. When e-navigation becomes operational, relevant marine-related data will be accessible in a standardised format on a unified device. The objective of this work is to examine the potential of S-100 in the context of weather routing and route optimisation for the benefit of navigation. There are two methodologies discussed: manual and automated. A range of S-100-based products will be evaluated in relation to a variety of optimisation algorithms in order to predict whether e-navigation could be advantageous in addressing the weather routing problem. Constraints regarding the implementation of electronic navigation and the mariners’ duties are outlined in the final part of the paper.

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