Fuel usage data analysis for efficient shipping operations
Fuel usage data analysis for efficient shipping operations
There are incentives from maritime regulatory bodies to operate ships more efficiently, driven by the need to reduce CO2 budget. In order to establish more efficient ship operations, fuel consumption across the full operational profile of a vessel is needed. This could be accomplished through a complete characterisation through extensive sea-trials, or interpretation of data from monitoring systems. Results from repeated testing under controlled sea-trial conditions provides high-fidelity data, however, this approach is prohibitively expensive and requires repeating as the condition of the vessel changes with time. Conversely, data monitoring devices are relatively inexpensive, however, the process of analysing data can be complex, particularly when a ship's activities are diverse. This paper describes a methodology for associating ship activity with corresponding segments of a data-stream from a commercially available monitoring system. Further analysis is then performed to determine the fuel efficient performance of the ship. The case-study used is a harbour tug, although the approach used is applicable to other ship types, its success on this basis indicates the methodology is robust. To validate the methodology, results from the data analysis are compared to fuel consumption data measured under sea-trial conditions, and are found to be in close agreement.
Diesel, Emissions, Engine, Exhaust, Modelling, Simulation
75-84
Trodden, D.G.
833492e5-aa34-4f70-a23e-e9e5e99b985e
Murphy, A.J.
8e021dad-0c60-446b-a14e-cddd09d44626
Pazouki, K.
1e69a646-83da-49ce-af3a-c40808c83ffe
Sargeant, James
8686ecf3-43f2-4dcc-bd03-2f821f93370f
3 December 2015
Trodden, D.G.
833492e5-aa34-4f70-a23e-e9e5e99b985e
Murphy, A.J.
8e021dad-0c60-446b-a14e-cddd09d44626
Pazouki, K.
1e69a646-83da-49ce-af3a-c40808c83ffe
Sargeant, James
8686ecf3-43f2-4dcc-bd03-2f821f93370f
Trodden, D.G., Murphy, A.J., Pazouki, K. and Sargeant, James
(2015)
Fuel usage data analysis for efficient shipping operations.
Ocean Engineering, 110, .
(doi:10.1016/j.oceaneng.2015.09.028).
Abstract
There are incentives from maritime regulatory bodies to operate ships more efficiently, driven by the need to reduce CO2 budget. In order to establish more efficient ship operations, fuel consumption across the full operational profile of a vessel is needed. This could be accomplished through a complete characterisation through extensive sea-trials, or interpretation of data from monitoring systems. Results from repeated testing under controlled sea-trial conditions provides high-fidelity data, however, this approach is prohibitively expensive and requires repeating as the condition of the vessel changes with time. Conversely, data monitoring devices are relatively inexpensive, however, the process of analysing data can be complex, particularly when a ship's activities are diverse. This paper describes a methodology for associating ship activity with corresponding segments of a data-stream from a commercially available monitoring system. Further analysis is then performed to determine the fuel efficient performance of the ship. The case-study used is a harbour tug, although the approach used is applicable to other ship types, its success on this basis indicates the methodology is robust. To validate the methodology, results from the data analysis are compared to fuel consumption data measured under sea-trial conditions, and are found to be in close agreement.
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Accepted/In Press date: 15 September 2015
e-pub ahead of print date: 9 October 2015
Published date: 3 December 2015
Additional Information:
Funding Information:
The authors greatly acknowledge the assistance of Ric Young and Darren Cushing of Svitzer Towage Ltd. This work was partly conducted within the Clean North Sea Shipping Project (CNSS), www.CNSS.no , and partly within the Engineering and Physical Sciences Research Council (EPSRC) Shipping in Changing Climates project ( EP/K039253/1 ). The authors wish to thank and acknowledge the support for this work from the European Commission, Regional Development Fund, Interreg IVB North Sea Region Programme, 2007–2013 and the Engineering and Physical Science Research Council, UK.
Keywords:
Diesel, Emissions, Engine, Exhaust, Modelling, Simulation
Identifiers
Local EPrints ID: 483674
URI: http://eprints.soton.ac.uk/id/eprint/483674
ISSN: 0029-8018
PURE UUID: 72417f97-1fd5-4189-baaa-19636a8bce18
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Date deposited: 03 Nov 2023 17:50
Last modified: 10 May 2024 17:03
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Author:
D.G. Trodden
Author:
A.J. Murphy
Author:
K. Pazouki
Author:
James Sargeant
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