Development of a Calculation Method for Fuel Consumption of Ships in Actual Seas With Performance Evaluation

Tsujimoto, Masaru; Kuroda, Mariko; Sogihara, Naoto

doi:10.1115/omae2013-11297

Cited by 16 publications

(7 citation statements)

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“…Also, maximum loss is achieved for head waves. This is consistent with calculations and towing tank data of wave added resistance provided by Tsujimoto et al (2013). Figure 1 can be attributed to:…”

Section: Developments For the Current Experimentssupporting

confidence: 90%

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

Mannarini

Carelli²,

Zissis³

et al. 2019

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Optimal ship tracks computed via the VISIR model are compared to tracks recorded by the Automatic Identification System (AIS). The evaluation regards 43 tracks in the Southern Atlantic Ocean, sailed during 2016-2017 by different bulk carriers. In this exercise, VISIR is fed by wave analysis fields from the Copernicus Marine Environment Monitoring Service (CMEMS). In order to reproduce vessel speed loss in waves, a new methodology is developed, where kinematic information from AIS is fusioned with wave information from CMEMS. Resulting VISIR tracks are analyzed along with AIS tracks in terms of their topological features and duration. The tracks exhibit quite diverse topological shapes, including orthodromic, loxodromic, and other paths with complex and dynamic diversions. The distribution of AIS to VISIR track durations is analyzed in terms of several parameters, such as the AIS to VISIR track length and their Fréchet distance. Model features of VISIR affecting the results are discussed and future developments suggested by the results are outlined.

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Section: Developments For the Current Experimentssupporting

confidence: 90%

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

Mannarini

Carelli²,

Zissis³

et al. 2019

TransNav

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show abstract

“…However, it should be noted that a more realistic representation of the marine state is likely to correspond to a more accurate description of the mechanical interaction between it and the vessel, particularly with reference to speed loss in waves and wind (Tsujimoto et al, 2013;Bertram and Couser, 2014). The presence of sea ice and ECA zones may also affect the optimal tracks.…”

Section: Discussionmentioning

confidence: 99%

VISIR-1.b: ocean surface gravity waves and currents for energy-efficient navigation

Mannarini

Carelli

2019

Geosci. Model Dev.

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Abstract. The latest development of the ship-routing model published in Mannarini et al. (2016a) is VISIR-1.b, which is presented here. The new version of the model targets large ocean-going vessels by considering both ocean surface gravity waves and currents. To effectively analyse currents in a graph-search method, new equations are derived and validated against an analytical benchmark. A case study in the Atlantic Ocean is presented, focussing on a route from the Chesapeake Bay to the Mediterranean Sea and vice versa. Ocean analysis fields from data-assimilative models (for both ocean state and hydrodynamics) are used. The impact of waves and currents on transatlantic crossings is assessed through mapping of the spatial variability in the tracks, an analysis of their kinematics, and their impact on the Energy Efficiency Operational Indicator (EEOI) of the International Maritime Organization. Sailing with or against the main ocean current is distinguished. The seasonal dependence of the EEOI savings is evaluated, and greater savings with a higher intra-monthly variability during winter crossings are indicated in the case study. The total monthly mean savings are between 2 % and 12 %, while the contribution of ocean currents is between 1 % and 4 %. Several other ocean routes are also considered, providing a pan-Atlantic scenario assessment of the potential gains in energy efficiency from optimal tracks, linking them to regional meteo-oceanographic features.

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“…8 has been devised [18], where B f is the bluntness coefficient calculated by the water plane shape and wave direction.…”

Section: Prediction Of Added Resistance In Wavesmentioning

confidence: 99%

Performance prediction of full-scale ship and analysis by means of on-board monitoring (Part 1 ship performance prediction in actual seas)

Tsujimoto

Orihara²

2018

J Mar Sci Technol

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In recent years, it has become important to evaluate whether ship propulsive performance achieves the design performance not only in a calm sea condition but also in a seaway. Various on-board monitoring systems have been developed and fitted on-board to check the performance of ships in a seaway. The evaluation can also be fed back to a new ship design. A method for prediction of ship performance in actual seas based on a physical model is described here. Prediction of steady forces in waves, wind forces, drift forces, and steering forces is described from the viewpoint of accurate practical prediction. The prediction of the engine operating point in winds and waves is also treated here. Examples of these prediction methods are illustrated. Performance analysis by an on-board monitoring system using the performance prediction method discussed here is described in the Part 2 of this paper.

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Development of a Calculation Method for Fuel Consumption of Ships in Actual Seas With Performance Evaluation

Cited by 16 publications

References 0 publications

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

VISIR-1.b: ocean surface gravity waves and currents for energy-efficient navigation

Performance prediction of full-scale ship and analysis by means of on-board monitoring (Part 1 ship performance prediction in actual seas)

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