Vessel performance analysis and fuel management

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Proceedings titleProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
ConferenceASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015, 31 May 2015 through 5 June 2015
SubjectArctic engineering; Benchmarking; Ocean currents; Key performance indicators; Optimization software; Performance analysis; Performance data; Performance monitoring and analysis; Prototype vessels; Speed optimization; Vessel operations; Fuels
AbstractA prototype Vessel Performance Monitoring and Analysis System (VPMAS) was deployed on a ferry to acquire needed performance data, to help improve vessel performance and reduce fuel consumption. A paper published in 2014 described preliminary data trends observed, key performance indicators computed, data products explored and exploratory tools developed for crews to gain insight into their vessel operation. The current paper describes further analysis of the operational data for speed optimization in calm sea states and the preliminary development of trim optimization software. It was found that trip durations around 7 hours (13.3 knots) use the least amount of fuel. The least amount of fuel is used when the excess distance travelled is minimized and the voyage time is optimized. There is a lot of leeway in terms of voyage time and excess distance travel by the ship before there is a heavy penalty on fuel consumption. Considering only a mean draft of 6 m and an average speed of 14 knots in the current paper, the optimal trim condition for the ferry is around -0.6 m (bow down), which reduces the resistance by 15% compared to the even keel condition. Positive trim causes the considerable increase of the total resistance consistently.
Publication date
PublisherAmerican Society of Mechanical Engineers
AffiliationNational Research Council Canada (NRC-CNRC); Ocean, Coastal and River Engineering
Peer reviewedYes
NRC numberOCRE-PR-2015-002
NPARC number21277411
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Record identifierccc4e93e-892d-46c3-bb4a-cb74592de022
Record created2016-03-09
Record modified2016-05-09
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