Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/118801
Title: Environmental Inefficiencies of Short Sea Shipping Vessels by Optimization Processes Based on Resistance Prediction Methods
Authors: Martínez López, Alba 
Díaz Ojeda, Héctor Rubén 
Míguez González, Marcos
Marrero, África
UNESCO Clasification: 3313 Tecnología e ingeniería mecánicas
Keywords: Environmental costs model
Vessel emissions
Maritime sustainability
Computer fluid dynamics
Short Sea Shipping, et al
Issue Date: 2022
Journal: Journal of Marine Science and Engineering 
Abstract: Fulfilment of the progressive environmental normative involves a singular challenge for Short Sea Shipping (SSS), since it must maintain its competitiveness versus other transport alternatives. For this reason, over the last decade SSS vessels have been the subject of numerous analyses, in terms of operative research, and optimizations, from the marine engineering standpoint. Despite widespread awareness about the impact of a vessel’s resistance on environmental performance, many of the previous analyses were based on resistance prediction methods with low accuracy levels. This fact necessarily involves deviations regarding the expected sustainability of vessels. This paper attempts to quantify (in monetary terms) the environmental consequences due to this low level of accuracy. To meet this aim, it analyzes the environmental performance of an SSS feeder vessel, which was obtained from an optimization process based on standard resistance prediction techniques, when its propulsion power requirements for sailing at optimized speed were assessed through the Reynolds Averaged Navier–Stokes method in Computational Fluid Dynamic simulations. The findings show that standard resistance prediction methods without consideration of hull shape must be avoided, not only in the optimization process, but also for operative research, especially in free sailing analysis.
URI: http://hdl.handle.net/10553/118801
ISSN: 2077-1312
DOI: 10.3390/jmse10101457
Source: Journal of Marine Science and Engineering [ISSN 2077-1312], v. 10 (10), 1457, (Octubre 2022)
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