Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters

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Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters. / Zhang, Chi; Zhang, Di; Zhang, Mingyang; Mao, Wengang.

In: Ocean Engineering, Vol. 186, 106071, 15.08.2019.

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@article{a307d70439cc49bebab92e62f8188e06,
title = "Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters",
abstract = "As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient navigation in the Arctic is needed for both economic and environmental purposes. This paper aims to provide a comprehensive analysis of energy efficiency of ice-going ships. Firstly, a data-driven model based on neural network theory is developed to predict the energy efficiency of ships in the Arctic. Then, a route with optimum energy efficiency is presented, intended to cut costs and be as environmentally friendly as possible. Finally, a case study is carried out to analyze the performance of a case study ship sailing at various environmental conditions. The results indicate that when planning the route for such an Arctic ship, it would be shortsighted only to focus on distance rather than energy efficiency. Moreover, the model shows good agreement between the simulation and real-life navigation. It is expected that the construction of this multi-angle, energy efficiency optimization model could help to improve Arctic navigation.",
keywords = "Arctic navigation, Optimization model, Route planning, Ship energy efficiency",
author = "Chi Zhang and Di Zhang and Mingyang Zhang and Wengang Mao",
note = "| openaire: EC/H2020/730888/EU//RESET",
year = "2019",
month = "8",
day = "15",
doi = "10.1016/j.oceaneng.2019.05.053",
language = "English",
volume = "186",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier BV",

}

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TY - JOUR

T1 - Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters

AU - Zhang, Chi

AU - Zhang, Di

AU - Zhang, Mingyang

AU - Mao, Wengang

N1 - | openaire: EC/H2020/730888/EU//RESET

PY - 2019/8/15

Y1 - 2019/8/15

N2 - As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient navigation in the Arctic is needed for both economic and environmental purposes. This paper aims to provide a comprehensive analysis of energy efficiency of ice-going ships. Firstly, a data-driven model based on neural network theory is developed to predict the energy efficiency of ships in the Arctic. Then, a route with optimum energy efficiency is presented, intended to cut costs and be as environmentally friendly as possible. Finally, a case study is carried out to analyze the performance of a case study ship sailing at various environmental conditions. The results indicate that when planning the route for such an Arctic ship, it would be shortsighted only to focus on distance rather than energy efficiency. Moreover, the model shows good agreement between the simulation and real-life navigation. It is expected that the construction of this multi-angle, energy efficiency optimization model could help to improve Arctic navigation.

AB - As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient navigation in the Arctic is needed for both economic and environmental purposes. This paper aims to provide a comprehensive analysis of energy efficiency of ice-going ships. Firstly, a data-driven model based on neural network theory is developed to predict the energy efficiency of ships in the Arctic. Then, a route with optimum energy efficiency is presented, intended to cut costs and be as environmentally friendly as possible. Finally, a case study is carried out to analyze the performance of a case study ship sailing at various environmental conditions. The results indicate that when planning the route for such an Arctic ship, it would be shortsighted only to focus on distance rather than energy efficiency. Moreover, the model shows good agreement between the simulation and real-life navigation. It is expected that the construction of this multi-angle, energy efficiency optimization model could help to improve Arctic navigation.

KW - Arctic navigation

KW - Optimization model

KW - Route planning

KW - Ship energy efficiency

UR - http://www.scopus.com/inward/record.url?scp=85067263440&partnerID=8YFLogxK

U2 - 10.1016/j.oceaneng.2019.05.053

DO - 10.1016/j.oceaneng.2019.05.053

M3 - Article

VL - 186

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

M1 - 106071

ER -

ID: 34995631