Fan, A;
Yan, X;
Bucknall, R;
Yin, Q;
Song, R;
(2017)
Study of real-time fuel consumption model for large bulk carrier.
In:
Proceedings of the SCC Conference 2017.
Low Carbon Shipping & Shipping in Changing Climates: London, UK.
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Abstract
With a 53,000-ton coastal bulk carrier as the selected ship, modelling and simulating of the ship real-time fuel consumption are carried out. Firstly, the on-board data collection system is introduced as well as the operational features of the selected ship. Then, based on the interaction relation of the hull-engine-propeller, the real-time fuel consumption model of the selected ship is developed using empirical formulas. Lastly, this model is simulated on the MATLAB/Simulink considering the impact of the random environmental factors, like, wind and wave. Comparison analysis between the simulated results and the actual measurement data is also carried out. The results indicate that the measured fuel consumption and speed shows a high degree of dispersion due to the Changeable working condition of the ship and the uncertainty existing in the on-board data monitoring system; the developed model has a good accuracy in predicting real-time fuel consumption. This research could help the ship manager to assess the likely fuel consumption level under different ocean environment.
Type: | Proceedings paper |
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Title: | Study of real-time fuel consumption model for large bulk carrier |
Event: | SCC Conference 2017 |
Location: | London |
Dates: | 04 September 2017 - 05 September 2017 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.lowcarbonshipping.co.uk/index.php?optio... |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Low carbon shipping, bulk carrier, fuel consumption, modelling and simulating, and on-board data collection |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/1573478 |
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