Study on route division for ship energy efficiency optimization based on big environment data

Conference paper (2017)

Authors

K. Wang Wuhan University of Technology
Xinping Yan National Engineering Research Center for Water Transport Safety (WTSC)
Yupeng Yuan Wuhan University of Technology
X. Jiang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
G. Lodewijks Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2017 K. Wang, Xinping Yan, Yupeng Yuan, X. Jiang, G. Lodewijks, R.R. Negenborn
DOI: https://doi.org/10.1109/ICTIS.2017.8047752
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Published Date

2017

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

In the case of the global energy crisis and the higher sound of energy saving and emission reduction, how to take effective management measures of ship energy efficiency to achieve the goal of energy saving and emission reduction, put forward a new challenge for the development of shipping technology. The application of big data technology provides a new idea for the research of ship energy efficiency optimization management. The energy efficiency management level of the operating ship can be improved by the analysis and mining of the big data. In this paper, a big data analysis platform for ship energy efficiency management based on the widely used Hadoop platform architecture is designed. Afterward, due to the huge amount of involved data on the energy efficiency management which has exceeded the processing ability of traditional solutions, the big data analysis method is used to achieve the route division according to environmental factors, thus to lay the foundation for speed optimization in different segments of a route. Finally, a simple decision-making method of optimal engine speed based on the result of route division is proposed, which could improve ship energy efficiency and hence reduce CO2 emission.

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