Download | - View accepted manuscript: Vessel performance analysis and fuel management (PDF, 1.0 MiB)
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DOI | Resolve DOI: https://doi.org/10.1115/OMAE2015-42224 |
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Author | Search for: Mak, Lawrence1; Search for: Kuczora, Andrew1; Search for: Seo, Dong Cheol1; Search for: Sullivan, Michael1 |
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Name affiliation | - National Research Council of Canada. Ocean, Coastal and River Engineering
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Format | Text, Article |
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Conference | ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015, 31 May 2015 through 5 June 2015 |
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Subject | Arctic engineering; Benchmarking; Ocean currents; Key performance indicators; Optimization software; Performance analysis; Performance data; Performance monitoring and analysis; Prototype vessels; Speed optimization; Vessel operations; Fuels |
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Abstract | A 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. |
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Publication date | 2015-06 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NRC number | OCRE-PR-2015-002 |
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NPARC number | 21277411 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | ccc4e93e-892d-46c3-bb4a-cb74592de022 |
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Record created | 2016-03-09 |
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Record modified | 2020-06-04 |
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