Sep 2026· Journal for Maritime Research· 0 citations
Abstract
Trim optimization is widely promoted as a low-cost lever for reducing ship fuel consumption, yet most estimates of its benefit come from calm-water simulations or empirical models, leaving open whether the effect survives where sea state, wind and speed vary jointly with trim. This study analyzes 139 voyages of a Ro-Ro/Container vessel on a fixed interisland route (Puerto del Rosario–Las Palmas de Gran Canaria, Canary Islands), combining loading-computer hydrostatics, flow-meter fuel records, AIS-derived speed and course, and hourly sea-state observations. A naive comparison across trim bins reproduces the ≈4% saving commonly cited for moderate stern trim, but the difference is not significant (Welch t-test, p=0.80) and is no longer identifiable once significant wave height (Hs) and speed over ground are controlled for (p>0.7 in every specification). Over the interquartile trim range these operations explore, the 95% confidence interval for the trim effect spans −1.4% to +1.7% of specific consumption, excluding savings of the magnitude reported under controlled conditions. Trim is itself confounded with sea state: bow-down voyages occur, on average, in significantly higher sea states than moderate stern-trim voyages (p=0.009). Added resistance from wave height is significant in head seas (p<0.001) but indistinguishable from zero in beam seas (p=0.42). For this vessel and route, trim adjustments within the range routinely used are therefore secondary to weather-driven resistance, while the wider envelope simulated under controlled conditions remains beyond the resolution of operational data, with direct implications for how trim optimization tools are calibrated and how their recommendations are presented onboard.
The article presents a classification and retrospective analysis of existing methods for accounting for greenhouse gas and pollutant emissions from seagoing ships. The main stages of model development are considered, from early top-down and bottom-up approaches based on aggregated fuel sales statistics and average ship...
A. Reutskii, E. O. Ol'khovik, T. M. Dmitrieva· Vestnik Gosudarstvennogo uni...· 0 citations
This article analyzes the synergy between autonomous shipping and Just-in-Time (JIT) arrival systems to optimize maritime logistics. JIT can reduce fuel consumption and emissions while improving efficiency by optimizing vessel arrivals, with autonomous ships possibly enhancing these benefits through continuous speed co...
Luís Rosa, F. Borges, Tiago Pinho et al.· Journal of Marine Science an...· 0 citations
Bottom-up ship emission inventories derived from Automatic Identification System (AIS) data are normally reported on kilometre-scale grids, which merge port waters that perform very different functions. Working with an AIS-based STEAM inventory for the Yangtze River Delta (YRD), we ask a question that gridded inventori...
Chen Liu, Rongchang Chen, Shuting Sun et al.· Atmosphere· 0 citations
Fuel represents the dominant variable cost in ship operation, and the selection of sailing speed is the principal lever available to an operator seeking to control it. This study develops a transparent parametric model of fuel consumption and economic speed for a representative Indonesian coastal general cargo vessel,...
F. Surjaman, P. M. Lopulalan, Hendi Prasetyo· Embedded Systems and Applica...· 0 citations
BACKRGOUND: Growing shipping traffic, the construction of new port infrastructure, and the development of Arctic hydrocarbon resources call for more cost-efficient routine hydrographic surveys along the Northern Sea Route. A methodology for the techno-economic comparison of alternative fleet configurations can help ide...
Anatoly V. Lobanov, K. Ovchinnikov· Труды Санкт-Петербургского г...· 0 citations
Water intakes in navigable rivers like the Nile face significant risks of air-entraining vortices due to ship- and wind-induced surface fluctuations, which conventional static submergence criteria fail to address. This study evaluates these dynamic effects and develops an integrated framework for determining Safe Minim...
R. Salama, N. Hekal, W. Fahmy· Water Science· 0 citations
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